A novel scale based on biomarkers associated with COVID-19 severity can predict the need for hospitalization and intensive care, as well as enhanced probabilities for mortality

Prognostic scales may help to optimize the use of hospital resources, which may be of prime interest in the context of a fast spreading pandemics. Nonetheless, such tools are underdeveloped in the context of COVID-19. In the present article we asked whether accurate prognostic scales could be develo...

Full description

Saved in:
Bibliographic Details
Published inScientific reports Vol. 13; no. 1; pp. 9064 - 9
Main Authors Nieto-Ortega, Eduardo, Maldonado-del-Arenal, Alejandro, Escudero-Roque, Lupita, Macedo-Falcon, Diana Ali, Escorcia-Saucedo, Ana Elena, León-del-Ángel, Adalberto, Durán-Méndez, Alejandro, Rueda-Medécigo, María José, García-Callejas, Karla, Hernández-Islas, Sergio, Romero-López, Gabriel, Hernández-Romero, Ángel Raúl, Pérez-Ortega, Daniela, Rodríguez-Segura, Estephany, Montaño‑Olmos, Daniela, Hernández-Muñoz, Jeffrey, Rodríguez-Peña, Samuel, Magos, Montserrat, Aco-Cuamani, Yanira Lizeth, García-Chávez, Nazareth, García-Otero, Ana Lizeth, Mejía-Rangel, Analiz, Gutiérrez-Losada, Valeria, Cova-Bonilla, Miguel, Aguilar-Arroyo, Alma Delia, Sandoval-García, Araceli, Martínez-Francisco, Eneyda, Vázquez-García, Blanca Azucena, Jardínez-Vera, Aldo Christiaan, del Campo, Alejandro Lechuga-Martín, Peón, Alberto N.
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 04.06.2023
Nature Publishing Group
Nature Portfolio
Subjects
692/308
692/499
692/700
Biomarkers
COVID-19
COVID-19 - diagnosis
Critical Care
Disease transmission
Hospitalization
Humanities and Social Sciences
Humans
Intensive Care Units
Mathematical functions
Mortality
multidisciplinary
Pandemics
Probability
Retrospective Studies
SARS-CoV-2
Science
Science (multidisciplinary)
Online AccessGet full text
ISSN2045-2322
2045-2322
DOI10.1038/s41598-023-30913-4

Cover

Abstract Prognostic scales may help to optimize the use of hospital resources, which may be of prime interest in the context of a fast spreading pandemics. Nonetheless, such tools are underdeveloped in the context of COVID-19. In the present article we asked whether accurate prognostic scales could be developed to optimize the use of hospital resources. We retrospectively studied 467 files of hospitalized patients after COVID-19. The odds ratios for 16 different biomarkers were calculated, those that were significantly associated were screened by a Pearson’s correlation, and such index was used to establish the mathematical function for each marker. The scales to predict the need for hospitalization, intensive-care requirement and mortality had enhanced sensitivities (0.91 CI 0.87–0.94; 0.96 CI 0.94–0.98; 0.96 CI 0.94–0.98; all with p  < 0.0001) and specificities (0.74 CI 0.62–0.83; 0.92 CI 0.87–0.96 and 0.91 CI 0.86–0.94; all with p  < 0.0001). Interestingly, when a different population was assayed, these parameters did not change considerably. These results show a novel approach to establish the mathematical function of a marker in the development of highly sensitive prognostic tools, which in this case, may aid in the optimization of hospital resources. An online version of the three algorithms can be found at: http://benepachuca.no-ip.org/covid/index.php
AbstractList Prognostic scales may help to optimize the use of hospital resources, which may be of prime interest in the context of a fast spreading pandemics. Nonetheless, such tools are underdeveloped in the context of COVID-19. In the present article we asked whether accurate prognostic scales could be developed to optimize the use of hospital resources. We retrospectively studied 467 files of hospitalized patients after COVID-19. The odds ratios for 16 different biomarkers were calculated, those that were significantly associated were screened by a Pearson’s correlation, and such index was used to establish the mathematical function for each marker. The scales to predict the need for hospitalization, intensive-care requirement and mortality had enhanced sensitivities (0.91 CI 0.87–0.94; 0.96 CI 0.94–0.98; 0.96 CI 0.94–0.98; all with p < 0.0001) and specificities (0.74 CI 0.62–0.83; 0.92 CI 0.87–0.96 and 0.91 CI 0.86–0.94; all with p < 0.0001). Interestingly, when a different population was assayed, these parameters did not change considerably. These results show a novel approach to establish the mathematical function of a marker in the development of highly sensitive prognostic tools, which in this case, may aid in the optimization of hospital resources. An online version of the three algorithms can be found at: http://benepachuca.no-ip.org/covid/index.php
Prognostic scales may help to optimize the use of hospital resources, which may be of prime interest in the context of a fast spreading pandemics. Nonetheless, such tools are underdeveloped in the context of COVID-19. In the present article we asked whether accurate prognostic scales could be developed to optimize the use of hospital resources. We retrospectively studied 467 files of hospitalized patients after COVID-19. The odds ratios for 16 different biomarkers were calculated, those that were significantly associated were screened by a Pearson's correlation, and such index was used to establish the mathematical function for each marker. The scales to predict the need for hospitalization, intensive-care requirement and mortality had enhanced sensitivities (0.91 CI 0.87-0.94; 0.96 CI 0.94-0.98; 0.96 CI 0.94-0.98; all with p < 0.0001) and specificities (0.74 CI 0.62-0.83; 0.92 CI 0.87-0.96 and 0.91 CI 0.86-0.94; all with p < 0.0001). Interestingly, when a different population was assayed, these parameters did not change considerably. These results show a novel approach to establish the mathematical function of a marker in the development of highly sensitive prognostic tools, which in this case, may aid in the optimization of hospital resources. An online version of the three algorithms can be found at: http://benepachuca.no-ip.org/covid/index.php.Prognostic scales may help to optimize the use of hospital resources, which may be of prime interest in the context of a fast spreading pandemics. Nonetheless, such tools are underdeveloped in the context of COVID-19. In the present article we asked whether accurate prognostic scales could be developed to optimize the use of hospital resources. We retrospectively studied 467 files of hospitalized patients after COVID-19. The odds ratios for 16 different biomarkers were calculated, those that were significantly associated were screened by a Pearson's correlation, and such index was used to establish the mathematical function for each marker. The scales to predict the need for hospitalization, intensive-care requirement and mortality had enhanced sensitivities (0.91 CI 0.87-0.94; 0.96 CI 0.94-0.98; 0.96 CI 0.94-0.98; all with p < 0.0001) and specificities (0.74 CI 0.62-0.83; 0.92 CI 0.87-0.96 and 0.91 CI 0.86-0.94; all with p < 0.0001). Interestingly, when a different population was assayed, these parameters did not change considerably. These results show a novel approach to establish the mathematical function of a marker in the development of highly sensitive prognostic tools, which in this case, may aid in the optimization of hospital resources. An online version of the three algorithms can be found at: http://benepachuca.no-ip.org/covid/index.php.
Abstract Prognostic scales may help to optimize the use of hospital resources, which may be of prime interest in the context of a fast spreading pandemics. Nonetheless, such tools are underdeveloped in the context of COVID-19. In the present article we asked whether accurate prognostic scales could be developed to optimize the use of hospital resources. We retrospectively studied 467 files of hospitalized patients after COVID-19. The odds ratios for 16 different biomarkers were calculated, those that were significantly associated were screened by a Pearson’s correlation, and such index was used to establish the mathematical function for each marker. The scales to predict the need for hospitalization, intensive-care requirement and mortality had enhanced sensitivities (0.91 CI 0.87–0.94; 0.96 CI 0.94–0.98; 0.96 CI 0.94–0.98; all with p < 0.0001) and specificities (0.74 CI 0.62–0.83; 0.92 CI 0.87–0.96 and 0.91 CI 0.86–0.94; all with p < 0.0001). Interestingly, when a different population was assayed, these parameters did not change considerably. These results show a novel approach to establish the mathematical function of a marker in the development of highly sensitive prognostic tools, which in this case, may aid in the optimization of hospital resources. An online version of the three algorithms can be found at: http://benepachuca.no-ip.org/covid/index.php
Prognostic scales may help to optimize the use of hospital resources, which may be of prime interest in the context of a fast spreading pandemics. Nonetheless, such tools are underdeveloped in the context of COVID-19. In the present article we asked whether accurate prognostic scales could be developed to optimize the use of hospital resources. We retrospectively studied 467 files of hospitalized patients after COVID-19. The odds ratios for 16 different biomarkers were calculated, those that were significantly associated were screened by a Pearson’s correlation, and such index was used to establish the mathematical function for each marker. The scales to predict the need for hospitalization, intensive-care requirement and mortality had enhanced sensitivities (0.91 CI 0.87–0.94; 0.96 CI 0.94–0.98; 0.96 CI 0.94–0.98; all with p  < 0.0001) and specificities (0.74 CI 0.62–0.83; 0.92 CI 0.87–0.96 and 0.91 CI 0.86–0.94; all with p  < 0.0001). Interestingly, when a different population was assayed, these parameters did not change considerably. These results show a novel approach to establish the mathematical function of a marker in the development of highly sensitive prognostic tools, which in this case, may aid in the optimization of hospital resources. An online version of the three algorithms can be found at: http://benepachuca.no-ip.org/covid/index.php
Prognostic scales may help to optimize the use of hospital resources, which may be of prime interest in the context of a fast spreading pandemics. Nonetheless, such tools are underdeveloped in the context of COVID-19. In the present article we asked whether accurate prognostic scales could be developed to optimize the use of hospital resources. We retrospectively studied 467 files of hospitalized patients after COVID-19. The odds ratios for 16 different biomarkers were calculated, those that were significantly associated were screened by a Pearson's correlation, and such index was used to establish the mathematical function for each marker. The scales to predict the need for hospitalization, intensive-care requirement and mortality had enhanced sensitivities (0.91 CI 0.87-0.94; 0.96 CI 0.94-0.98; 0.96 CI 0.94-0.98; all with p < 0.0001) and specificities (0.74 CI 0.62-0.83; 0.92 CI 0.87-0.96 and 0.91 CI 0.86-0.94; all with p < 0.0001). Interestingly, when a different population was assayed, these parameters did not change considerably. These results show a novel approach to establish the mathematical function of a marker in the development of highly sensitive prognostic tools, which in this case, may aid in the optimization of hospital resources. An online version of the three algorithms can be found at: http://benepachuca.no-ip.org/covid/index.php.
ArticleNumber 9064
Author Hernández-Islas, Sergio
del Campo, Alejandro Lechuga-Martín
García-Callejas, Karla
Aco-Cuamani, Yanira Lizeth
Rodríguez-Peña, Samuel
Hernández-Romero, Ángel Raúl
Rueda-Medécigo, María José
Sandoval-García, Araceli
Maldonado-del-Arenal, Alejandro
Durán-Méndez, Alejandro
Mejía-Rangel, Analiz
Martínez-Francisco, Eneyda
Gutiérrez-Losada, Valeria
Escorcia-Saucedo, Ana Elena
Pérez-Ortega, Daniela
Macedo-Falcon, Diana Ali
Jardínez-Vera, Aldo Christiaan
García-Otero, Ana Lizeth
García-Chávez, Nazareth
Escudero-Roque, Lupita
Peón, Alberto N.
Aguilar-Arroyo, Alma Delia
Romero-López, Gabriel
León-del-Ángel, Adalberto
Hernández-Muñoz, Jeffrey
Nieto-Ortega, Eduardo
Rodríguez-Segura, Estephany
Cova-Bonilla, Miguel
Vázquez-García, Blanca Azucena
Montaño‑Olmos, Daniela
Magos, Montserrat
Author_xml – sequence: 1
  givenname: Eduardo
  surname: Nieto-Ortega
  fullname: Nieto-Ortega, Eduardo
  organization: Sociedad Española de Beneficencia, Área Académica de Medicina, Universidad Autónoma del Estado de Hidalgo
– sequence: 2
  givenname: Alejandro
  surname: Maldonado-del-Arenal
  fullname: Maldonado-del-Arenal, Alejandro
  organization: Sociedad Española de Beneficencia, Área Académica de Medicina, Universidad Autónoma del Estado de Hidalgo
– sequence: 3
  givenname: Lupita
  surname: Escudero-Roque
  fullname: Escudero-Roque, Lupita
  organization: Sociedad Española de Beneficencia, Área Académica de Medicina, Universidad Autónoma del Estado de Hidalgo
– sequence: 4
  givenname: Diana Ali
  surname: Macedo-Falcon
  fullname: Macedo-Falcon, Diana Ali
  organization: Sociedad Española de Beneficencia, Área Académica de Medicina, Universidad Autónoma del Estado de Hidalgo
– sequence: 5
  givenname: Ana Elena
  surname: Escorcia-Saucedo
  fullname: Escorcia-Saucedo, Ana Elena
  organization: Sociedad Española de Beneficencia, Área Académica de Medicina, Universidad Autónoma del Estado de Hidalgo
– sequence: 6
  givenname: Adalberto
  surname: León-del-Ángel
  fullname: León-del-Ángel, Adalberto
  organization: Sociedad Española de Beneficencia, Área Académica de Medicina, Universidad Autónoma del Estado de Hidalgo
– sequence: 7
  givenname: Alejandro
  surname: Durán-Méndez
  fullname: Durán-Méndez, Alejandro
  organization: Sociedad Española de Beneficencia, Área Académica de Medicina, Universidad Autónoma del Estado de Hidalgo
– sequence: 8
  givenname: María José
  surname: Rueda-Medécigo
  fullname: Rueda-Medécigo, María José
  organization: Sociedad Española de Beneficencia, Área Académica de Medicina, Universidad Autónoma del Estado de Hidalgo
– sequence: 9
  givenname: Karla
  surname: García-Callejas
  fullname: García-Callejas, Karla
  organization: Sociedad Española de Beneficencia, Área Académica de Medicina, Universidad Autónoma del Estado de Hidalgo
– sequence: 10
  givenname: Sergio
  surname: Hernández-Islas
  fullname: Hernández-Islas, Sergio
  organization: Sociedad Española de Beneficencia, Área Académica de Medicina, Universidad Autónoma del Estado de Hidalgo
– sequence: 11
  givenname: Gabriel
  surname: Romero-López
  fullname: Romero-López, Gabriel
  organization: Sociedad Española de Beneficencia, Área Académica de Medicina, Universidad Autónoma del Estado de Hidalgo
– sequence: 12
  givenname: Ángel Raúl
  surname: Hernández-Romero
  fullname: Hernández-Romero, Ángel Raúl
  organization: Escuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo
– sequence: 13
  givenname: Daniela
  surname: Pérez-Ortega
  fullname: Pérez-Ortega, Daniela
  organization: Sociedad Española de Beneficencia, Área Académica de Medicina, Universidad Autónoma del Estado de Hidalgo
– sequence: 14
  givenname: Estephany
  surname: Rodríguez-Segura
  fullname: Rodríguez-Segura, Estephany
  organization: Sociedad Española de Beneficencia, Área Académica de Medicina, Universidad Autónoma del Estado de Hidalgo
– sequence: 15
  givenname: Daniela
  surname: Montaño‑Olmos
  fullname: Montaño‑Olmos, Daniela
  organization: Sociedad Española de Beneficencia, Universidad Anáhuac
– sequence: 16
  givenname: Jeffrey
  surname: Hernández-Muñoz
  fullname: Hernández-Muñoz, Jeffrey
  organization: Sociedad Española de Beneficencia, Área Académica de Medicina, Universidad Autónoma del Estado de Hidalgo, Hospital Español
– sequence: 17
  givenname: Samuel
  surname: Rodríguez-Peña
  fullname: Rodríguez-Peña, Samuel
  organization: Sociedad Española de Beneficencia, Hospital Español, Facultad de Medicina, Universidad Nacional Autónoma de México
– sequence: 18
  givenname: Montserrat
  surname: Magos
  fullname: Magos, Montserrat
  organization: Sociedad Española de Beneficencia, Facultad de Medicina, Universidad Nacional Autónoma de México
– sequence: 19
  givenname: Yanira Lizeth
  surname: Aco-Cuamani
  fullname: Aco-Cuamani, Yanira Lizeth
  organization: Sociedad Española de Beneficencia, Universidad Anáhuac
– sequence: 20
  givenname: Nazareth
  surname: García-Chávez
  fullname: García-Chávez, Nazareth
  organization: Escuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo
– sequence: 21
  givenname: Ana Lizeth
  surname: García-Otero
  fullname: García-Otero, Ana Lizeth
  organization: Escuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo
– sequence: 22
  givenname: Analiz
  surname: Mejía-Rangel
  fullname: Mejía-Rangel, Analiz
  organization: Escuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo
– sequence: 23
  givenname: Valeria
  surname: Gutiérrez-Losada
  fullname: Gutiérrez-Losada, Valeria
  organization: Escuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo
– sequence: 24
  givenname: Miguel
  surname: Cova-Bonilla
  fullname: Cova-Bonilla, Miguel
  organization: Escuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo
– sequence: 25
  givenname: Alma Delia
  surname: Aguilar-Arroyo
  fullname: Aguilar-Arroyo, Alma Delia
  organization: Escuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo
– sequence: 26
  givenname: Araceli
  surname: Sandoval-García
  fullname: Sandoval-García, Araceli
  organization: Escuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo
– sequence: 27
  givenname: Eneyda
  surname: Martínez-Francisco
  fullname: Martínez-Francisco, Eneyda
  organization: Escuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo
– sequence: 28
  givenname: Blanca Azucena
  surname: Vázquez-García
  fullname: Vázquez-García, Blanca Azucena
  organization: Servicio de Imagenología, Hospital Regional de Alta Especialidad de Zumpango
– sequence: 29
  givenname: Aldo Christiaan
  surname: Jardínez-Vera
  fullname: Jardínez-Vera, Aldo Christiaan
  organization: Escuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo
– sequence: 30
  givenname: Alejandro Lechuga-Martín
  surname: del Campo
  fullname: del Campo, Alejandro Lechuga-Martín
  organization: Sociedad Española de Beneficencia
– sequence: 31
  givenname: Alberto N.
  surname: Peón
  fullname: Peón, Alberto N.
  email: investigacion@benepachuca.com
  organization: Sociedad Española de Beneficencia, Escuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo, Hospital Español
BackLink https://www.ncbi.nlm.nih.gov/pubmed/37271755$$D View this record in MEDLINE/PubMed
BookMark eNqNks9uEzEQxleoiJbSF-CALHHpgQWvvV7bJ1SFf5Uq9VJxtWa9k8RlYwfbSRSeikfESUppOSB8sTXzfT-PZ_y8OvLBY1W9bOjbhnL1LrWN0KqmjNec6obX7ZPqhNFW1IwzdvTgfFydpXRLyxJMt41-Vh1zyWQjhTipfl4QH9Y4kmRhRNJDwoEET3oXFhC_YUwEUgrWQS6JjctzMrn-evmhbjRJuMbo8pZY8GQZcXA2kzxH4rFopyGSeUhLl2F0PyC7QgU_EOcz-uTWWGwR3xQ82eA47nb0c_C2eJcx9NC70WWHaU9ahLjj5O2L6ukUxoRnd_tpdfPp483kS311_flycnFV21azXDOKtu873QkGvJNAO0m5LtG-sY3GAViLQkvZgoKpQqRssExIKXXLQDF-Wl0esEOAW7OMrnRjawI4sw-EODMQs7MjGqk6JVQ7FUrQ1ioJPaVySpUaBMgSKix-YK38ErYbGMd7YEPNbprmME1Tpmn20zQ71_uDa7nqFzhY9DnC-KiUxxnv5mYW1gXIuBZcF8L5HSGG7ytM2SxcsqXX4DGskmGKMUk7KnfS139Jb8Mq-tLgvarhXSt2Jb16WNJ9Lb-_UxGwg8DGkFLE6f899K49qYj9DOOfu__h-gXh9u4l
Cites_doi 10.46295/3:2.PROTCALC
10.1097/RTI.0000000000000541
10.1136/bmjopen-2021-058171
10.1177/2058460121989309
10.1136/bmjebm-2020-111536
10.1016/j.annepidem.2020.08.005
10.1016/j.jtcvs.2017.12.107
10.1016/j.compbiomed.2022.105618
10.1371/journal.pone.0253894
10.21037/apm-20-1863
10.1016/j.compbiomed.2022.105810
10.1017/S0950268820002368
10.1001/jama.2020.2648
10.1016/j.jinf.2020.03.041
10.12659/MSM.931283
10.17843/rpmesp.2021.382.6562
10.3346/jkms.2020.35.e234
10.1016/j.lfs.2020.117788
10.1001/jama.2021.12484
10.1371/journal.pone.0269813
10.3389/fpsyt.2022.922410
10.1007/s43440-022-00388-7
10.1016/j.ijid.2020.04.061
10.1136/jim-2021-001858
10.1007/s00705-021-05012-2
10.1186/s12879-021-06369-0
10.1093/cid/ciaa414
10.1016/j.jiph.2021.03.001
10.1007/978-3-030-74611-7_33
10.1371/journal.pone.0241955
10.1155/2021/8821318
10.1038/s41598-021-99291-z
10.3390/v14020187
ContentType Journal Article
Copyright The Author(s) 2023
2023. The Author(s).
The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: The Author(s) 2023
– notice: 2023. The Author(s).
– notice: The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID C6C
AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
3V.
7X7
7XB
88A
88E
88I
8FE
8FH
8FI
8FJ
8FK
ABUWG
AEUYN
AFKRA
AZQEC
BBNVY
BENPR
BHPHI
CCPQU
DWQXO
FYUFA
GHDGH
GNUQQ
HCIFZ
K9.
LK8
M0S
M1P
M2P
M7P
PHGZM
PHGZT
PIMPY
PJZUB
PKEHL
PPXIY
PQEST
PQGLB
PQQKQ
PQUKI
Q9U
7X8
5PM
ADTOC
UNPAY
DOA
DOI 10.1038/s41598-023-30913-4
DatabaseName Springer Nature Open Access Journals (LUT & LAB)
CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
ProQuest Central (Corporate)
Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Biology Database (Alumni Edition)
Medical Database (Alumni Edition)
Science Database (Alumni Edition)
ProQuest SciTech Collection
ProQuest Natural Science Journals
ProQuest Hospital Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest One Sustainability
ProQuest Central UK/Ireland
ProQuest Central Essentials
Biological Science Collection
ProQuest Central
Natural Science Collection
ProQuest One Community College
ProQuest Central
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Central Student
SciTech Premium Collection
ProQuest Health & Medical Complete (Alumni)
Biological Sciences
ProQuest Health & Medical Collection
Medical Database
Science Database
Biological Science Database
Proquest Central Premium
ProQuest One Academic
Publicly Available Content Database
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central Basic
MEDLINE - Academic
PubMed Central (Full Participant titles)
Unpaywall for CDI: Periodical Content
Unpaywall
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
Publicly Available Content Database
ProQuest Central Student
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest One Health & Nursing
ProQuest Natural Science Collection
ProQuest Biology Journals (Alumni Edition)
ProQuest Central
ProQuest One Applied & Life Sciences
ProQuest One Sustainability
ProQuest Health & Medical Research Collection
Health Research Premium Collection
Health and Medicine Complete (Alumni Edition)
Natural Science Collection
ProQuest Central Korea
Health & Medical Research Collection
Biological Science Collection
ProQuest Central (New)
ProQuest Medical Library (Alumni)
ProQuest Science Journals (Alumni Edition)
ProQuest Biological Science Collection
ProQuest Central Basic
ProQuest Science Journals
ProQuest One Academic Eastern Edition
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
Biological Science Database
ProQuest SciTech Collection
ProQuest Hospital Collection (Alumni)
ProQuest Health & Medical Complete
ProQuest Medical Library
ProQuest One Academic UKI Edition
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList
Publicly Available Content Database
MEDLINE - Academic


CrossRef
MEDLINE
Database_xml – sequence: 1
  dbid: C6C
  name: Springer Nature OA Free Journals (Selected full-text)
  url: http://www.springeropen.com/
  sourceTypes: Publisher
– sequence: 2
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 3
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 4
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
– sequence: 5
  dbid: UNPAY
  name: Unpaywall
  url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/
  sourceTypes: Open Access Repository
– sequence: 6
  dbid: BENPR
  name: ProQuest Central
  url: http://www.proquest.com/pqcentral?accountid=15518
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Biology
EISSN 2045-2322
EndPage 9
ExternalDocumentID oai_doaj_org_article_7868584f58504c87ab007f088d5a7504
10.1038/s41598-023-30913-4
PMC10239539
37271755
10_1038_s41598_023_30913_4
Genre Journal Article
GrantInformation_xml – fundername: Sociedad Española de Beneficencia
  grantid: SEB-CAl-03
– fundername: ;
  grantid: SEB-CAl-03
GroupedDBID 0R~
3V.
4.4
53G
5VS
7X7
88A
88E
88I
8FE
8FH
8FI
8FJ
AAFWJ
AAJSJ
AAKDD
ABDBF
ABUWG
ACGFS
ACSMW
ACUHS
ADBBV
ADRAZ
AENEX
AEUYN
AFKRA
AJTQC
ALIPV
ALMA_UNASSIGNED_HOLDINGS
AOIJS
AZQEC
BAWUL
BBNVY
BCNDV
BENPR
BHPHI
BPHCQ
BVXVI
C6C
CCPQU
DIK
DWQXO
EBD
EBLON
EBS
ESX
FYUFA
GNUQQ
GROUPED_DOAJ
GX1
HCIFZ
HH5
HMCUK
HYE
KQ8
LK8
M0L
M1P
M2P
M48
M7P
M~E
NAO
OK1
PIMPY
PQQKQ
PROAC
PSQYO
RNT
RNTTT
RPM
SNYQT
UKHRP
AASML
AAYXX
AFPKN
CITATION
PHGZM
PHGZT
PJZUB
PPXIY
PQGLB
PUEGO
CGR
CUY
CVF
ECM
EIF
NPM
7XB
8FK
K9.
PKEHL
PQEST
PQUKI
Q9U
7X8
5PM
ADTOC
EJD
IPNFZ
RIG
UNPAY
ID FETCH-LOGICAL-c492t-20ecbb69652a367a06703920eb1c19eda24e59774a8af8ee02dc25777942a823
IEDL.DBID M48
ISSN 2045-2322
IngestDate Fri Oct 03 12:25:40 EDT 2025
Sun Oct 26 02:20:57 EDT 2025
Tue Sep 30 17:13:23 EDT 2025
Fri Sep 05 10:57:07 EDT 2025
Tue Oct 07 08:27:06 EDT 2025
Thu Apr 03 07:07:53 EDT 2025
Wed Oct 01 05:01:02 EDT 2025
Fri Feb 21 02:37:27 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Language English
License 2023. The Author(s).
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
cc-by
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c492t-20ecbb69652a367a06703920eb1c19eda24e59774a8af8ee02dc25777942a823
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
OpenAccessLink http://journals.scholarsportal.info/openUrl.xqy?doi=10.1038/s41598-023-30913-4
PMID 37271755
PQID 2822136454
PQPubID 2041939
PageCount 9
ParticipantIDs doaj_primary_oai_doaj_org_article_7868584f58504c87ab007f088d5a7504
unpaywall_primary_10_1038_s41598_023_30913_4
pubmedcentral_primary_oai_pubmedcentral_nih_gov_10239539
proquest_miscellaneous_2822706079
proquest_journals_2822136454
pubmed_primary_37271755
crossref_primary_10_1038_s41598_023_30913_4
springer_journals_10_1038_s41598_023_30913_4
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2023-06-04
PublicationDateYYYYMMDD 2023-06-04
PublicationDate_xml – month: 06
  year: 2023
  text: 2023-06-04
  day: 04
PublicationDecade 2020
PublicationPlace London
PublicationPlace_xml – name: London
– name: England
PublicationTitle Scientific reports
PublicationTitleAbbrev Sci Rep
PublicationTitleAlternate Sci Rep
PublicationYear 2023
Publisher Nature Publishing Group UK
Nature Publishing Group
Nature Portfolio
Publisher_xml – name: Nature Publishing Group UK
– name: Nature Publishing Group
– name: Nature Portfolio
References ParkSYNomogram: An analogue tool to deliver digital knowledgeJ. Thorac. Cardiovasc. Surg.20181554179310.1016/j.jtcvs.2017.12.10729370910
ZhangLThe common risk factors for progression and mortality in COVID-19 patients: A meta-analysisArch. Virol.20211668207120871:CAS:528:DC%2BB3MXotVCgtro%3D10.1007/s00705-021-05012-2337976218017903
Rahmah, L., et al. Oral antiviral treatments for COVID-19: opportunities and challenges. Pharmacol. Rep. 1–24 (2022).
Sevilla-CastilloFBoth chloroquine and lopinavir/ritonavir are ineffective for COVID-19 treatment and combined worsen the pathology: A single-center experience with severely ill patientsBiomed. Res. Int.20212021882131810.1155/2021/8821318337327447871110
Contreras-GrandeJChest computed tomography findings associated with severity and mortality in patients with COVID-19Rev. Peru Med. Exp. Salud Publica202138220621310.17843/rpmesp.2021.382.656234468566
Durán-MéndezATocilizumab reduces COVID-19 mortality and pathology in a dose and timing-dependent fashion: A multi-centric studySci. Rep.2021111197282021NatSR..1119728D10.1038/s41598-021-99291-z346112518492686
TiryakiŞDabeşlimHAksuYChest computed tomographic findings of patients with COVID-19-related pneumoniaActa Radiol. Open20211022058460121989309336141617874355
IzcovichAPrognostic factors for severity and mortality in patients infected with COVID-19: A systematic reviewPLoS ONE202015111:CAS:528:DC%2BB3cXitlyqsL3J10.1371/journal.pone.0241955332018967671522
LitmanovichDEReview of chest radiograph findings of COVID-19 pneumonia and suggested reporting languageJ. Thorac. Imaging202035635436032520846
SheikhSAl-MandhariACOVID-19: Questionable seasonalityJ. Coll. Phys. Surg. Pak.2022326827828
GuoJCURB-65 may serve as a useful prognostic marker in COVID-19 patients within Wuhan, China: A retrospective cohort studyEpidemiol. Infect.20201481:CAS:528:DC%2BB3cXitFarurfI10.1017/S095026882000236832998791
GrifoniEThe CALL score for predicting outcomes in patients with COVID-19Clin. Infect. Dis.20217211821831:CAS:528:DC%2BB3MXjslaqsbw%3D32474605
MeloAKGBiomarkers of cytokine storm as red flags for severe and fatal COVID-19 cases: A living systematic review and meta-analysisPLoS ONE20211661:CAS:528:DC%2BB3MXhsVyitrzK10.1371/journal.pone.0253894341858018241122
CapolongoSCOVID-19 and Healthcare Facilities: A Decalogue of Design Strategies for Resilient HospitalsActa Biomed.2020919s50601:CAS:528:DC%2BB3cXis1OjtLfM327019178023092
FocosiDMaggiFCasadevallAMucosal vaccines, sterilizing immunity, and the future of SARS-CoV-2 virulenceViruses2022142110.3390/v14020187
WuZMcGooganJMCharacteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: Summary of a report of 72,314 cases from the Chinese center for disease control and preventionJAMA202032313123912421:CAS:528:DC%2BB3cXnsFCqsrs%3D10.1001/jama.2020.264832091533
ChuaPEYEpidemiological and clinical characteristics of non-severe and severe pediatric and adult COVID-19 patients across different geographical regions in the early phase of pandemic: A systematic review and meta-analysis of observational studiesJ. Investig. Med.20216971287129610.1136/jim-2021-001858341350688485127
KhodeirMMEarly prediction keys for COVID-19 cases progression: A meta-analysisJ. Infect. Public Health202114556156910.1016/j.jiph.2021.03.001338488857934660
ShiCPredictors of mortality in patients with coronavirus disease 2019: A systematic review and meta-analysisBMC Infect. Dis.20212116631:CAS:528:DC%2BB3MXhsFGhtbfF10.1186/s12879-021-06369-0342382328264491
BarbashIJKahnJMFostering hospital resilience—lessons from COVID-19JAMA202132686936941:CAS:528:DC%2BB3MXhvFChurfO10.1001/jama.2021.1248434323923
Castro, H.M., Prieto, M.A., & Muñoz, A.M. Prevalence of burnout in healthcare workers during the COVID-19 pandemic and associated factors. A cross-sectional study. Medicina (B Aires)82(4), 479–486 (2022).
SuHMultilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimizationComput. Biol. Med.20221461:CAS:528:DC%2BB38XitVOmtbrE10.1016/j.compbiomed.2022.105618356904779113963
MalikPBiomarkers and outcomes of COVID-19 hospitalisations: systematic review and meta-analysisBMJ Evid. Based Med.202126310710810.1136/bmjebm-2020-11153632934000
Molina, H., & Rodríguez, I. Al alza, saturación de hospitales por Covid-19. 2022 [cited 2022 08/08/2022]; Available from: https://www.eleconomista.com.mx/politica/Al-alza-saturacion-de-hospitales-por-Covid-19-20220117-0137.html.
Parra-BracamonteGMLopez-VillalobosNParra-BracamonteFEClinical characteristics and risk factors for mortality of patients with COVID-19 in a large data set from MexicoAnn. Epidemiol.2020529398.e210.1016/j.annepidem.2020.08.005327987017426229
MrukBChest computed tomography (CT) severity scales in COVID-19 disease: A validation studyMed. Sci. Monit.2021271:CAS:528:DC%2BB3MXhslKrs7fK10.12659/MSM.931283339478238108556
Organization, W.H. WHO Coronavirus (COVID-19) Dashboard. 2022 05/08/2022 [cited 2022 02/08/2022]; Available from: https://covid19.who.int/.
Bertoni, V.B., et al. Resilience, Safety and Health: Reflections About Covid-19’ Assistance. In Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021) (Springer International Publishing, Cham, 2021).
JiDPrediction for progression risk in patients with COVID-19 pneumonia: The CALL scoreClin. Infect. Dis.2020716139313991:CAS:528:DC%2BB3cXhvFygt73L10.1093/cid/ciaa41432271369
FuLClinical characteristics of coronavirus disease 2019 (COVID-19) in China: A systematic review and meta-analysisJ. Infect.20208066566651:CAS:528:DC%2BB3cXhtVantLzE10.1016/j.jinf.2020.03.041322831557151416
KimKMRapid prediction of in-hospital mortality among adults with COVID-19 diseasePLoS ONE202217744782921:CAS:528:DC%2BB38XitVKlu7%2FP10.1371/journal.pone.0269813359050729337639
Eduardo Nieto-Ortega, D.A.M.-F., & Peón, A. N. Calculadora de riesgo de progresión a hospitalización por COVID-19, enfermedad crítica y muerte. Estudio retrospectivo observacional. Soc. Esp Bene 3, 1–15 (2022).
KermaliMThe role of biomarkers in diagnosis of COVID-19 - A systematic reviewLife Sci20202541:CAS:528:DC%2BB3cXhtVSjs7fK10.1016/j.lfs.2020.117788324758107219356
VelavanTPMeyerCGMild versus severe COVID-19: Laboratory markersInt. J. Infect. Dis.2020953043071:CAS:528:DC%2BB3cXoslenu7k%3D10.1016/j.ijid.2020.04.061323440117194601
XieJClinical characteristics, laboratory abnormalities and CT findings of COVID-19 patients and risk factors of severe disease: A systematic review and meta-analysisAnn. Palliat. Med.20211021928194910.21037/apm-20-186333548996
KamranSMCALL score and RAS score as predictive models for coronavirus disease 2019Cureus20201211333047017721080
Al-AmerRNurses experience of caring for patients with COVID-19: A phenomenological studyFront. Psychiatry20221310.3389/fpsyt.2022.922410359354109346630
QiADirectional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentationComput. Biol. Med.20221481:CAS:528:DC%2BB38XhvFGqtb3L10.1016/j.compbiomed.2022.105810358680499278012
JangJGPrognostic accuracy of the SIRS, qSOFA, and news for early detection of clinical deterioration in SARS-CoV-2 infected patientsJ. Kor. Med. Sci.202035251:CAS:528:DC%2BB3cXhsVShtrfM10.3346/jkms.2020.35.e234
Castagna, F. et al. Hospital bed occupancy rate is an independent risk factor for COVID-19 inpatient mortality: A pandemic epicentre cohort study. 12(2), e058171 (2022).
Sánchez, J. Hospitales de Hidalgo comienzan a reportar saturación de camas por covid. 2021 [cited 2022 08/08/2022]; Available from: https://www.milenio.com/ciencia-y-salud/hidalgo-hospitales-comienzan-reportar-saturacion-camas-covid.
30913_CR10
DE Litmanovich (30913_CR18) 2020; 35
PEY Chua (30913_CR31) 2021; 69
S Capolongo (30913_CR41) 2020; 91
A Durán-Méndez (30913_CR9) 2021; 11
JG Jang (30913_CR15) 2020; 35
SY Park (30913_CR27) 2018; 155
M Kermali (30913_CR22) 2020; 254
C Shi (30913_CR29) 2021; 21
A Qi (30913_CR37) 2022; 148
B Mruk (30913_CR19) 2021; 27
SM Kamran (30913_CR13) 2020; 12
D Focosi (30913_CR39) 2022; 14
L Zhang (30913_CR28) 2021; 166
H Su (30913_CR36) 2022; 146
Ş Tiryaki (30913_CR17) 2021; 10
S Sheikh (30913_CR38) 2022; 32
J Contreras-Grande (30913_CR21) 2021; 38
E Grifoni (30913_CR12) 2021; 72
F Sevilla-Castillo (30913_CR35) 2021; 2021
30913_CR40
30913_CR20
L Fu (30913_CR26) 2020; 80
TP Velavan (30913_CR25) 2020; 95
IJ Barbash (30913_CR2) 2021; 326
D Ji (30913_CR11) 2020; 71
KM Kim (30913_CR16) 2022; 17
30913_CR6
J Guo (30913_CR14) 2020; 148
30913_CR7
A Izcovich (30913_CR23) 2020; 15
30913_CR5
AKG Melo (30913_CR33) 2021; 16
30913_CR3
30913_CR1
R Al-Amer (30913_CR4) 2022; 13
P Malik (30913_CR24) 2021; 26
J Xie (30913_CR30) 2021; 10
GM Parra-Bracamonte (30913_CR34) 2020; 52
MM Khodeir (30913_CR32) 2021; 14
Z Wu (30913_CR8) 2020; 323
References_xml – reference: WuZMcGooganJMCharacteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: Summary of a report of 72,314 cases from the Chinese center for disease control and preventionJAMA202032313123912421:CAS:528:DC%2BB3cXnsFCqsrs%3D10.1001/jama.2020.264832091533
– reference: KimKMRapid prediction of in-hospital mortality among adults with COVID-19 diseasePLoS ONE202217744782921:CAS:528:DC%2BB38XitVKlu7%2FP10.1371/journal.pone.0269813359050729337639
– reference: SuHMultilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimizationComput. Biol. Med.20221461:CAS:528:DC%2BB38XitVOmtbrE10.1016/j.compbiomed.2022.105618356904779113963
– reference: GuoJCURB-65 may serve as a useful prognostic marker in COVID-19 patients within Wuhan, China: A retrospective cohort studyEpidemiol. Infect.20201481:CAS:528:DC%2BB3cXitFarurfI10.1017/S095026882000236832998791
– reference: Castro, H.M., Prieto, M.A., & Muñoz, A.M. Prevalence of burnout in healthcare workers during the COVID-19 pandemic and associated factors. A cross-sectional study. Medicina (B Aires)82(4), 479–486 (2022).
– reference: Rahmah, L., et al. Oral antiviral treatments for COVID-19: opportunities and challenges. Pharmacol. Rep. 1–24 (2022).
– reference: ZhangLThe common risk factors for progression and mortality in COVID-19 patients: A meta-analysisArch. Virol.20211668207120871:CAS:528:DC%2BB3MXotVCgtro%3D10.1007/s00705-021-05012-2337976218017903
– reference: IzcovichAPrognostic factors for severity and mortality in patients infected with COVID-19: A systematic reviewPLoS ONE202015111:CAS:528:DC%2BB3cXitlyqsL3J10.1371/journal.pone.0241955332018967671522
– reference: Sevilla-CastilloFBoth chloroquine and lopinavir/ritonavir are ineffective for COVID-19 treatment and combined worsen the pathology: A single-center experience with severely ill patientsBiomed. Res. Int.20212021882131810.1155/2021/8821318337327447871110
– reference: TiryakiŞDabeşlimHAksuYChest computed tomographic findings of patients with COVID-19-related pneumoniaActa Radiol. Open20211022058460121989309336141617874355
– reference: Durán-MéndezATocilizumab reduces COVID-19 mortality and pathology in a dose and timing-dependent fashion: A multi-centric studySci. Rep.2021111197282021NatSR..1119728D10.1038/s41598-021-99291-z346112518492686
– reference: Parra-BracamonteGMLopez-VillalobosNParra-BracamonteFEClinical characteristics and risk factors for mortality of patients with COVID-19 in a large data set from MexicoAnn. Epidemiol.2020529398.e210.1016/j.annepidem.2020.08.005327987017426229
– reference: Eduardo Nieto-Ortega, D.A.M.-F., & Peón, A. N. Calculadora de riesgo de progresión a hospitalización por COVID-19, enfermedad crítica y muerte. Estudio retrospectivo observacional. Soc. Esp Bene 3, 1–15 (2022).
– reference: Molina, H., & Rodríguez, I. Al alza, saturación de hospitales por Covid-19. 2022 [cited 2022 08/08/2022]; Available from: https://www.eleconomista.com.mx/politica/Al-alza-saturacion-de-hospitales-por-Covid-19-20220117-0137.html.
– reference: JiDPrediction for progression risk in patients with COVID-19 pneumonia: The CALL scoreClin. Infect. Dis.2020716139313991:CAS:528:DC%2BB3cXhvFygt73L10.1093/cid/ciaa41432271369
– reference: GrifoniEThe CALL score for predicting outcomes in patients with COVID-19Clin. Infect. Dis.20217211821831:CAS:528:DC%2BB3MXjslaqsbw%3D32474605
– reference: SheikhSAl-MandhariACOVID-19: Questionable seasonalityJ. Coll. Phys. Surg. Pak.2022326827828
– reference: VelavanTPMeyerCGMild versus severe COVID-19: Laboratory markersInt. J. Infect. Dis.2020953043071:CAS:528:DC%2BB3cXoslenu7k%3D10.1016/j.ijid.2020.04.061323440117194601
– reference: XieJClinical characteristics, laboratory abnormalities and CT findings of COVID-19 patients and risk factors of severe disease: A systematic review and meta-analysisAnn. Palliat. Med.20211021928194910.21037/apm-20-186333548996
– reference: FuLClinical characteristics of coronavirus disease 2019 (COVID-19) in China: A systematic review and meta-analysisJ. Infect.20208066566651:CAS:528:DC%2BB3cXhtVantLzE10.1016/j.jinf.2020.03.041322831557151416
– reference: Contreras-GrandeJChest computed tomography findings associated with severity and mortality in patients with COVID-19Rev. Peru Med. Exp. Salud Publica202138220621310.17843/rpmesp.2021.382.656234468566
– reference: JangJGPrognostic accuracy of the SIRS, qSOFA, and news for early detection of clinical deterioration in SARS-CoV-2 infected patientsJ. Kor. Med. Sci.202035251:CAS:528:DC%2BB3cXhsVShtrfM10.3346/jkms.2020.35.e234
– reference: MalikPBiomarkers and outcomes of COVID-19 hospitalisations: systematic review and meta-analysisBMJ Evid. Based Med.202126310710810.1136/bmjebm-2020-11153632934000
– reference: Bertoni, V.B., et al. Resilience, Safety and Health: Reflections About Covid-19’ Assistance. In Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021) (Springer International Publishing, Cham, 2021).
– reference: Al-AmerRNurses experience of caring for patients with COVID-19: A phenomenological studyFront. Psychiatry20221310.3389/fpsyt.2022.922410359354109346630
– reference: ChuaPEYEpidemiological and clinical characteristics of non-severe and severe pediatric and adult COVID-19 patients across different geographical regions in the early phase of pandemic: A systematic review and meta-analysis of observational studiesJ. Investig. Med.20216971287129610.1136/jim-2021-001858341350688485127
– reference: CapolongoSCOVID-19 and Healthcare Facilities: A Decalogue of Design Strategies for Resilient HospitalsActa Biomed.2020919s50601:CAS:528:DC%2BB3cXis1OjtLfM327019178023092
– reference: MrukBChest computed tomography (CT) severity scales in COVID-19 disease: A validation studyMed. Sci. Monit.2021271:CAS:528:DC%2BB3MXhslKrs7fK10.12659/MSM.931283339478238108556
– reference: KermaliMThe role of biomarkers in diagnosis of COVID-19 - A systematic reviewLife Sci20202541:CAS:528:DC%2BB3cXhtVSjs7fK10.1016/j.lfs.2020.117788324758107219356
– reference: Sánchez, J. Hospitales de Hidalgo comienzan a reportar saturación de camas por covid. 2021 [cited 2022 08/08/2022]; Available from: https://www.milenio.com/ciencia-y-salud/hidalgo-hospitales-comienzan-reportar-saturacion-camas-covid.
– reference: Castagna, F. et al. Hospital bed occupancy rate is an independent risk factor for COVID-19 inpatient mortality: A pandemic epicentre cohort study. 12(2), e058171 (2022).
– reference: LitmanovichDEReview of chest radiograph findings of COVID-19 pneumonia and suggested reporting languageJ. Thorac. Imaging202035635436032520846
– reference: KhodeirMMEarly prediction keys for COVID-19 cases progression: A meta-analysisJ. Infect. Public Health202114556156910.1016/j.jiph.2021.03.001338488857934660
– reference: QiADirectional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentationComput. Biol. Med.20221481:CAS:528:DC%2BB38XhvFGqtb3L10.1016/j.compbiomed.2022.105810358680499278012
– reference: FocosiDMaggiFCasadevallAMucosal vaccines, sterilizing immunity, and the future of SARS-CoV-2 virulenceViruses2022142110.3390/v14020187
– reference: Organization, W.H. WHO Coronavirus (COVID-19) Dashboard. 2022 05/08/2022 [cited 2022 02/08/2022]; Available from: https://covid19.who.int/.
– reference: MeloAKGBiomarkers of cytokine storm as red flags for severe and fatal COVID-19 cases: A living systematic review and meta-analysisPLoS ONE20211661:CAS:528:DC%2BB3MXhsVyitrzK10.1371/journal.pone.0253894341858018241122
– reference: ParkSYNomogram: An analogue tool to deliver digital knowledgeJ. Thorac. Cardiovasc. Surg.20181554179310.1016/j.jtcvs.2017.12.10729370910
– reference: BarbashIJKahnJMFostering hospital resilience—lessons from COVID-19JAMA202132686936941:CAS:528:DC%2BB3MXhvFChurfO10.1001/jama.2021.1248434323923
– reference: KamranSMCALL score and RAS score as predictive models for coronavirus disease 2019Cureus20201211333047017721080
– reference: ShiCPredictors of mortality in patients with coronavirus disease 2019: A systematic review and meta-analysisBMC Infect. Dis.20212116631:CAS:528:DC%2BB3MXhsFGhtbfF10.1186/s12879-021-06369-0342382328264491
– ident: 30913_CR20
  doi: 10.46295/3:2.PROTCALC
– volume: 35
  start-page: 354
  issue: 6
  year: 2020
  ident: 30913_CR18
  publication-title: J. Thorac. Imaging
  doi: 10.1097/RTI.0000000000000541
– ident: 30913_CR5
  doi: 10.1136/bmjopen-2021-058171
– volume: 10
  start-page: 205846012198930
  issue: 2
  year: 2021
  ident: 30913_CR17
  publication-title: Acta Radiol. Open
  doi: 10.1177/2058460121989309
– volume: 26
  start-page: 107
  issue: 3
  year: 2021
  ident: 30913_CR24
  publication-title: BMJ Evid. Based Med.
  doi: 10.1136/bmjebm-2020-111536
– volume: 52
  start-page: 93
  year: 2020
  ident: 30913_CR34
  publication-title: Ann. Epidemiol.
  doi: 10.1016/j.annepidem.2020.08.005
– volume: 155
  start-page: 1793
  issue: 4
  year: 2018
  ident: 30913_CR27
  publication-title: J. Thorac. Cardiovasc. Surg.
  doi: 10.1016/j.jtcvs.2017.12.107
– volume: 32
  start-page: 827
  issue: 6
  year: 2022
  ident: 30913_CR38
  publication-title: J. Coll. Phys. Surg. Pak.
– volume: 12
  issue: 11
  year: 2020
  ident: 30913_CR13
  publication-title: Cureus
– volume: 146
  year: 2022
  ident: 30913_CR36
  publication-title: Comput. Biol. Med.
  doi: 10.1016/j.compbiomed.2022.105618
– volume: 16
  issue: 6
  year: 2021
  ident: 30913_CR33
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0253894
– ident: 30913_CR6
– volume: 91
  start-page: 50
  issue: 9s
  year: 2020
  ident: 30913_CR41
  publication-title: Acta Biomed.
– volume: 72
  start-page: 182
  issue: 1
  year: 2021
  ident: 30913_CR12
  publication-title: Clin. Infect. Dis.
– volume: 10
  start-page: 1928
  issue: 2
  year: 2021
  ident: 30913_CR30
  publication-title: Ann. Palliat. Med.
  doi: 10.21037/apm-20-1863
– volume: 148
  year: 2022
  ident: 30913_CR37
  publication-title: Comput. Biol. Med.
  doi: 10.1016/j.compbiomed.2022.105810
– volume: 148
  year: 2020
  ident: 30913_CR14
  publication-title: Epidemiol. Infect.
  doi: 10.1017/S0950268820002368
– volume: 323
  start-page: 1239
  issue: 13
  year: 2020
  ident: 30913_CR8
  publication-title: JAMA
  doi: 10.1001/jama.2020.2648
– volume: 80
  start-page: 656
  issue: 6
  year: 2020
  ident: 30913_CR26
  publication-title: J. Infect.
  doi: 10.1016/j.jinf.2020.03.041
– volume: 27
  year: 2021
  ident: 30913_CR19
  publication-title: Med. Sci. Monit.
  doi: 10.12659/MSM.931283
– volume: 38
  start-page: 206
  issue: 2
  year: 2021
  ident: 30913_CR21
  publication-title: Rev. Peru Med. Exp. Salud Publica
  doi: 10.17843/rpmesp.2021.382.6562
– volume: 35
  issue: 25
  year: 2020
  ident: 30913_CR15
  publication-title: J. Kor. Med. Sci.
  doi: 10.3346/jkms.2020.35.e234
– volume: 254
  year: 2020
  ident: 30913_CR22
  publication-title: Life Sci
  doi: 10.1016/j.lfs.2020.117788
– volume: 326
  start-page: 693
  issue: 8
  year: 2021
  ident: 30913_CR2
  publication-title: JAMA
  doi: 10.1001/jama.2021.12484
– ident: 30913_CR3
– ident: 30913_CR1
– volume: 17
  issue: 7
  year: 2022
  ident: 30913_CR16
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0269813
– volume: 13
  year: 2022
  ident: 30913_CR4
  publication-title: Front. Psychiatry
  doi: 10.3389/fpsyt.2022.922410
– ident: 30913_CR10
  doi: 10.1007/s43440-022-00388-7
– volume: 95
  start-page: 304
  year: 2020
  ident: 30913_CR25
  publication-title: Int. J. Infect. Dis.
  doi: 10.1016/j.ijid.2020.04.061
– volume: 69
  start-page: 1287
  issue: 7
  year: 2021
  ident: 30913_CR31
  publication-title: J. Investig. Med.
  doi: 10.1136/jim-2021-001858
– volume: 166
  start-page: 2071
  issue: 8
  year: 2021
  ident: 30913_CR28
  publication-title: Arch. Virol.
  doi: 10.1007/s00705-021-05012-2
– ident: 30913_CR7
– volume: 21
  start-page: 663
  issue: 1
  year: 2021
  ident: 30913_CR29
  publication-title: BMC Infect. Dis.
  doi: 10.1186/s12879-021-06369-0
– volume: 71
  start-page: 1393
  issue: 6
  year: 2020
  ident: 30913_CR11
  publication-title: Clin. Infect. Dis.
  doi: 10.1093/cid/ciaa414
– volume: 14
  start-page: 561
  issue: 5
  year: 2021
  ident: 30913_CR32
  publication-title: J. Infect. Public Health
  doi: 10.1016/j.jiph.2021.03.001
– ident: 30913_CR40
  doi: 10.1007/978-3-030-74611-7_33
– volume: 15
  issue: 11
  year: 2020
  ident: 30913_CR23
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0241955
– volume: 2021
  start-page: 8821318
  year: 2021
  ident: 30913_CR35
  publication-title: Biomed. Res. Int.
  doi: 10.1155/2021/8821318
– volume: 11
  start-page: 19728
  issue: 1
  year: 2021
  ident: 30913_CR9
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-021-99291-z
– volume: 14
  start-page: 1
  issue: 2
  year: 2022
  ident: 30913_CR39
  publication-title: Viruses
  doi: 10.3390/v14020187
SSID ssj0000529419
Score 2.3925695
Snippet Prognostic scales may help to optimize the use of hospital resources, which may be of prime interest in the context of a fast spreading pandemics. Nonetheless,...
Abstract Prognostic scales may help to optimize the use of hospital resources, which may be of prime interest in the context of a fast spreading pandemics....
SourceID doaj
unpaywall
pubmedcentral
proquest
pubmed
crossref
springer
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Publisher
StartPage 9064
SubjectTerms 692/308
692/499
692/700
Biomarkers
COVID-19
COVID-19 - diagnosis
Critical Care
Disease transmission
Hospitalization
Humanities and Social Sciences
Humans
Intensive Care Units
Mathematical functions
Mortality
multidisciplinary
Pandemics
Probability
Retrospective Studies
SARS-CoV-2
Science
Science (multidisciplinary)
SummonAdditionalLinks – databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELZQJQQcEG_SFjRI3NioieMk9rEPqoIEXArqzZokjrbS1rvaB6j_qj-xM3E27AoEHDhFiqPEmYdn7Jn5Roi3UraGFr42NkVdxcq0SVzluoprRkFFVzZJy-cdnz4XZ1_Vx4v8YqPVF-eEBXjgQLiDUjNCumrJrU1UrUskOSlb0o0mR4Ym59U30WZjMxVQvaVRqemrZJJMHyzIUnE1mczijLEwY7VliTrA_t95mb8mSw4R0wfi3srP8PoHTiYbRun0kXjYe5NwGP7isbjj_BNxN_SXvH4qbg7BT7-7CSyIEw7YYjUw9cA195yWM18A9uyhAT6SheMv3z6cxKkBspiOG9sB0R5mc47nLIG8RfBk74BcXRj3LUf6Sk5A38DlOiMeOKVsRK8HPh3kq_PjLtsAuIdNQAenXXr3pqtuD0AfeybOT9-fH5_FfYuGuFZGLknHXF1VhSlyiVlRIlf9kMeVkAWoU-MalMoxwp1Cja12LpFNTYtESauARC2z52LHT717KWhWKtGVq1DKSum6QIYRSrFEnTVYFnUk3q25ZWcBiMN2AfRM28BbS7y1HW-tisQRM3R4kkG0uxskWrYXLfs30YrE_locbK_ZC8tptynHbmn4zTBMOsmBFvRuugrPMCpRaSLxIkjPMJOMHEZy2fJI6C252prq9oi_HHe434yyYUiHIjFai-DPef2JFqNBTP-BdLv_g3R74r5kVePjKrUvdpbzlXtF3tuyet0p6i13XD64
  priority: 102
  providerName: Directory of Open Access Journals
– databaseName: ProQuest Central
  dbid: BENPR
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1ba9RAFD7ULaI-iLdqtMoIvrmhyWSSzDyItLWlCq4iVfo2TJKJW1gn616U_it_oudMLnVRik8LmZCd5FznXL4D8ILzWqHiq0OVlUUoVB2FRSqLsCQUVGPzKqop3vF-kp18Fu_O0rMtmPS9MFRW2etEr6irpqQY-R6VO8aUMxOv599DmhpF2dV-hIbpRitUrzzE2DXY5oSMNYLtg6PJx09D1IXyWiJWXfdMlMi9JVow6jLjSZgQRmYoNiyUB_L_l_f5dxHlkEm9BTfWbm4ufprZ7A9jdXwHbndeJttv2eIubFl3D663cycv7sOvfeaaH3bGlkghy8iSVaxxjHrxqVxnsWSmIxsuUKiWHX748vZNGCuGltTSwDuGNGHzBeV5Vgy9SObQDjJ0gdm0G0XSdXgy4yp23lfKMyo1G-PjGUUN6de6qa9CYDTbpkUNx9O7f9I3fzbAP3sAp8dHp4cnYTe6ISyF4iuUPVsWRaaylJskyw11A6EnFqFlKGNlK8OFJeQ7YaSppbURr0pUHjlqB24kT3Zg5BpnHwHuSkSysIXhvBCyzAzBC8UmNzKpTJ6VAbzsqaXnLUCH9on1ROqWthppqz1ttQjggAg63Eng2v5Cs_iqO1nVuSRQflHjSSoSpcwNqqa8RnVcpYbQ8APY7dlBdxK_1Jf8GcDzYRlllRIwxtlm3d5DaEW5CuBhyz3DThJ0JNGVSwOQG3y1sdXNFXc-9XjghL6hULYCGPcseLmvq77FeGDT__h0j69-6ydwk5MQUYBK7MJotVjbp-ivrYpnnRD-BjhCPk8
  priority: 102
  providerName: ProQuest
– databaseName: HAS SpringerNature Open Access 2022
  dbid: AAJSJ
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1Lb9QwEB6VrRDlgHiVBgoaJG5sROI4iX1cClVZCThQUG-WkzjaSot3tQ9Q_xU_kZkkG4iKEJwixYljeWY8k3l8A_BCiFrTwVeHOiuLUOo6CotUFWHJKKjW5VVUs7_j_Yfs7LOcXqQXezDe1cIM4vcNdPeaVAyXgYkkTBjEMpQ3YF8RY6oR7E8m00_T3qfCUSsZ6642hl5_df3lgf5pYPr_ZFteT5Hs46S34dbWL-3Vdzuf_6aKTu_Cnc6GxElL9Huw5_x9uNl2lbx6AD8m6Bff3BzXtP8OWU9VuPDIlfacjLNao-2IQgPsiMWTj1_evQljjaQnHbezQ9pxXK44irNBshHRk5ZDMnBx1jUa6eo30foKL3d58MiJZGOaHtknyFfnZ02OAXLnmhYTnP7Nm5m-NpY_fewhnJ--PT85C7vGDGEptdiQZLmyKDKdpcImWW651ofsrIjO_TLWrrJCOsa1k1bZWjkXiaqkoyEn2RdWieQQRn7h3RHQqmSkCldYIQqpyswyeFBsc6uSyuZZGcDLHbXMsoXfME3YPFGmpa0h2pqGtkYG8JoJ2j_J0NnNDeIo00miyRVD7sua_pMiWarc0sGT13TYVqllrPsAjnfsYDp5XhtOto05YkvDz_thkkQOr1jvFtv2GcYiynUAj1ru6VeSkJlIhloagBrw1WCpwxF_OWvQvhlbQ5PkBDDeseCvdf1tL8Y9m_7D1j3-v9mfwIFgoWJ3lDyG0Wa1dU_JOtsUzzqh_Ak7dDKG
  priority: 102
  providerName: Springer Nature
– databaseName: Unpaywall
  dbid: UNPAY
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3db9MwED-NTgh44PsjMJCReKMpqeMkzmMZTAOJwcMG48lyHIdOFKdqU9D4q_gTuXOSQmFC7ClS7SZO7nz3s333O4AnnFc5Gr4qzFNThCKvorBIZBEaYkHVNiujivY73hyk-0fi9XFyvAVpnwvjg_Y9paU303102LMlOhpKBuNxGBOVZShG87K6ANtpghh8ANtHB-8mH6mSHGKUEGEC7zJkolie8ecNL-TJ-s9CmH8HSq5PS6_ApZWb69Nvejb7zSHtXYMP_au0cSifR6umGJnvf7A8nv9dr8PVDqOySdvzBmxZdxMutlUrT2_Bjwlz9Vc7Y0uUr2XkB0tWO0aZ_BTss1gy3QkdG2ijl-2-ff_qRTjOGfphS-XyGEqUzRd0StQwxKDMoRdlCKDZtCtk0uWHMu1KdtLH2TMKVBvi7RntOdLVuqmPYWBUGaflHMe1v7_TF7-ywIfdhsO9l4e7-2FX-CE0IucNzlxriiLN04TrOM005RIhjovQr5hxbkvNhSXePKGlrqS1ES8Nmp4MbQvXksd3YOBqZ-8BjkpEsrCF5rwQ0qSayInGOtMyLnWWmgCe9nqg5i29h_LH8rFUrRgUikF5MSgRwHNSlXVPoub2P9SLT6oTn8okUfqLCtdhkTAy02jYsgqNeZlo4tIPYKdXNNXZi6WiYN4xnQhj8-N1M850Or7Rztartg9xHWV5AHdbvVyPJEYYikAwCUBuaOzGUDdb3MnUs4kTd0eOMzOAYa_cv8b1r28xXE-A__h098_X_QFc5qT_tN0ldmDQLFb2IaK_pnjUTfWfbvNVEQ
  priority: 102
  providerName: Unpaywall
Title A novel scale based on biomarkers associated with COVID-19 severity can predict the need for hospitalization and intensive care, as well as enhanced probabilities for mortality
URI https://link.springer.com/article/10.1038/s41598-023-30913-4
https://www.ncbi.nlm.nih.gov/pubmed/37271755
https://www.proquest.com/docview/2822136454
https://www.proquest.com/docview/2822706079
https://pubmed.ncbi.nlm.nih.gov/PMC10239539
https://www.nature.com/articles/s41598-023-30913-4.pdf
https://doaj.org/article/7868584f58504c87ab007f088d5a7504
UnpaywallVersion publishedVersion
Volume 13
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVFSB
  databaseName: Free Full-Text Journals in Chemistry (Selected full-text)
  customDbUrl:
  eissn: 2045-2322
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000529419
  issn: 2045-2322
  databaseCode: HH5
  dateStart: 20110101
  isFulltext: true
  titleUrlDefault: http://abc-chemistry.org/
  providerName: ABC ChemistRy
– providerCode: PRVAFT
  databaseName: Open Access Digital Library
  customDbUrl:
  eissn: 2045-2322
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000529419
  issn: 2045-2322
  databaseCode: KQ8
  dateStart: 20110101
  isFulltext: true
  titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html
  providerName: Colorado Alliance of Research Libraries
– providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 2045-2322
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000529419
  issn: 2045-2322
  databaseCode: DOA
  dateStart: 20110101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVEBS
  databaseName: Academic Search Ultimate
  customDbUrl: https://search.ebscohost.com/login.aspx?authtype=ip,shib&custid=s3936755&profile=ehost&defaultdb=asn
  eissn: 2045-2322
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000529419
  issn: 2045-2322
  databaseCode: ABDBF
  dateStart: 20121221
  isFulltext: true
  titleUrlDefault: https://search.ebscohost.com/direct.asp?db=asn
  providerName: EBSCOhost
– providerCode: PRVBFR
  databaseName: Free Medical Journals
  customDbUrl:
  eissn: 2045-2322
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000529419
  issn: 2045-2322
  databaseCode: DIK
  dateStart: 20110101
  isFulltext: true
  titleUrlDefault: http://www.freemedicaljournals.com
  providerName: Flying Publisher
– providerCode: PRVFQY
  databaseName: GFMER Free Medical Journals
  customDbUrl:
  eissn: 2045-2322
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000529419
  issn: 2045-2322
  databaseCode: GX1
  dateStart: 0
  isFulltext: true
  titleUrlDefault: http://www.gfmer.ch/Medical_journals/Free_medical.php
  providerName: Geneva Foundation for Medical Education and Research
– providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  customDbUrl:
  eissn: 2045-2322
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000529419
  issn: 2045-2322
  databaseCode: M~E
  dateStart: 20110101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
– providerCode: PRVAQN
  databaseName: PubMed Central
  customDbUrl:
  eissn: 2045-2322
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000529419
  issn: 2045-2322
  databaseCode: RPM
  dateStart: 20110101
  isFulltext: true
  titleUrlDefault: https://www.ncbi.nlm.nih.gov/pmc/
  providerName: National Library of Medicine
– providerCode: PRVAQT
  databaseName: Springer Nature - nature.com Journals - Fully Open Access
  customDbUrl:
  eissn: 2045-2322
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000529419
  issn: 2045-2322
  databaseCode: NAO
  dateStart: 20111201
  isFulltext: true
  titleUrlDefault: https://www.nature.com/siteindex/index.html
  providerName: Nature Publishing
– providerCode: PRVPQU
  databaseName: Health & Medical Collection (Proquest)
  customDbUrl:
  eissn: 2045-2322
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000529419
  issn: 2045-2322
  databaseCode: 7X7
  dateStart: 20210101
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/healthcomplete
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Central
  customDbUrl: http://www.proquest.com/pqcentral?accountid=15518
  eissn: 2045-2322
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000529419
  issn: 2045-2322
  databaseCode: BENPR
  dateStart: 20210101
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
– providerCode: PRVFZP
  databaseName: Scholars Portal Journals Open Access
  customDbUrl:
  eissn: 2045-2322
  dateEnd: 20250131
  omitProxy: true
  ssIdentifier: ssj0000529419
  issn: 2045-2322
  databaseCode: M48
  dateStart: 20110801
  isFulltext: true
  titleUrlDefault: http://journals.scholarsportal.info
  providerName: Scholars Portal
– providerCode: PRVAVX
  databaseName: HAS SpringerNature Open Access 2022
  customDbUrl:
  eissn: 2045-2322
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000529419
  issn: 2045-2322
  databaseCode: AAJSJ
  dateStart: 20111201
  isFulltext: true
  titleUrlDefault: https://www.springernature.com
  providerName: Springer Nature
– providerCode: PRVAVX
  databaseName: Springer Nature OA Free Journals (Selected full-text)
  customDbUrl:
  eissn: 2045-2322
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000529419
  issn: 2045-2322
  databaseCode: C6C
  dateStart: 20111201
  isFulltext: true
  titleUrlDefault: http://www.springeropen.com/
  providerName: Springer Nature
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Zj9MwEB7tIWB5QNwElspIvNFA6rix_YBQt-xqqbRlBVtUniIncehKxS09gP4rfiIzOQoVFUI8RYpzWJ7TnplvAJ5ynmtUfLmvozTxhc4DP2mrxE8JBdVYmQU5nXec9aPTgegN28MdqNsdVQs437q1o35Sg9n4-fcvq1co8C_LknH1Yo5GiArFeOiHBHPpi13YR0ulqZXDWeXul1jfXIuWrmpntr96AFdDtOloVdsbpqpA9N_mhv6ZTbkOqV6Ha0s3NatvZjz-zWqd3IQblbvJOiV_3IId627DlbIB5eoO_OgwN_lqx2yOpLKMTFrGJo5RUT7l7czmzFT0wwE6s2Xdtx_evPZbmqFJtdT5jiFx2HRGAZ8FQ3eSOTSIDH1hNqp6klSlnsy4jF3WKfOMcs6a-HlGx4d0tW5UpCMwanJTwofjNr740ueCPvizu3BxcnzRPfWrHg5-KjRfoBDaNEkiHbW5CSNpqCwIXbIATUTa0jYzXFiCwBNGmVxZG_AsRS0iUU1wo3h4D_bcxNkHgLMSgUpsYjhPhEojQzhDLSONCjMjo9SDZzW14mmJ1BEXEfZQxSWZYyRzXJA5Fh4cEUHXTxLKdnFjMvsUV0IbS0Xo_CLHLVUgUiUN6iiZo17O2oZg8T04rNkhrjk3przcFgV3cfjJehiFliIxxtnJsnyGYIuk9uB-yT3rmdTc54Ha4KuNqW6OuMtRAQxOMBwahcyDZs2Cv-b1t7Vortn0H5bu4f9P7BEccJI1OsUSh7C3mC3tY3TqFkkDduVQNmC_0-m97-H16Lh__g7vdqNuozgoaRSyjCOD_nnn408AMlAV
linkProvider Scholars Portal
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEF5VrVDhgHgWQ4FFghOx6qw39u6hQn0qoW1AqKDeVmt7TSKFdYgTqvwr_gD_jRl77RKBKi49RYotZ-P5dmZ2Ht8Q8pqxXILiy30ZpYnPZR74SU8kfoosqNrEWZBjvONsGPU_8_cXvYs18qvphcGyykYnVoo6K1KMke9guWMXc2b83fS7j1OjMLvajNDQbrRCtltRjLnGjhOzvIQjXLk7OAR5v2Hs-Oj8oO-7KQN-yiWbA0xMmiSRjHpMh1GssXEFnIYAlFjalSbTjBskaeNa6FwYE7AsBZzHAGSmBfIegAXY4CGXcPbb2D8afvzUBnkwjca70jXrBKHYKcFgYlMbC_0QKTl9vmIQq7kB_3J2_67ZbBO3d8jmwk718lJPJn_YxuN75K5zaulejcL7ZM3YB-RWPeZy-ZD83KO2-GEmtARAGIqGM6OFpdj6j9VBs5JqhxK4gJFhevDhy-DQ70oKhtvgfD0KEKDTGaaV5hScVmrB7FLwuOnITT5xDaVU24yOm8J8ipVtHXg8xSAlfho7qooeKI7SqUnKx6asnvStOorAjz0i5zchw8dk3RbWPCGwKh6IxCSasYSLNNLIZtTVsRZhpuMo9cjbRlpqWvOBqCqPHwpVy1aBbFUlW8U9so8Cbe9ELu_qi2L2VTnVoGKBMwB4Dge3gKci1qAJ4xy0f9bTSL7vke0GDsopmFJdbQePvGovg2rAfI-2pljU9yA5Uiw9slWjp11JCH4reI49j4gVXK0sdfWKHY8q-nEk-5CwlT3SaSB4ta7r3kWnhel_vLqn1__rl2Szf352qk4Hw5Nn5DbDDYWxMb5N1uezhXkOruI8eeE2JCXqhlXAb1hCeYs
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lj9MwELZWi3gdEG8CCxgJTjRq4rixfUBo2VJtWVg4LKg3y0kcWqk4pWlZ9V9x5d8xk9dSgVZc9lSpiVI3883DnplvCHnOWK7A8OW-itPE5yoP_GQgEz9FFlRjRRbkeN7x4Tg-_MzfTQaTHfKr7YXBssrWJlaGOitSPCPvY7ljiDkz3s-bsohPw9HrxXcfJ0hhprUdp1FD5MhuTmH7Vr4aD0HWLxgbvT05OPSbCQN-yhVbAURsmiSxigfMRLEw2LQCAUMABiwNlc0M4xYJ2riRJpfWBixLAeMCQMyMRM4DsP6XRBQprCYUE9Ed72ACjYeqadMJItkvwVViOxuL_AjJOH2-5QqriQH_CnP_rtbsUrbXydW1W5jNqZnP__CKo5vkRhPO0v0af7fIjnW3yeV6wOXmDvm5T13xw85pCVCwFF1mRgtHsekf64KWJTUNPuACngnTg49fxkM_VBRctsXJehSETxdLTCitKISr1IHDpRBr02kz86RpJaXGZXTWluRTrGnrweMpHk_ip3XTqtyB4hCdmp58ZsvqSd-qTQj82F1ychESvEd2XeHsAwKr4oFMbGIYS7hMY4M8RqERRkaZEXHqkZettPSiZgLRVQY_krqWrQbZ6kq2mnvkDQq0uxNZvKsviuVX3RgFLSSy__MctmwBT6UwYANFDnY_Gxik3ffIXgsH3ZiWUp8pgkeedZfBKGCmxzhbrOt7kBZJKI_cr9HTrSSCiBVixoFH5Bautpa6fcXNphXxONJ8KFBij_RaCJ6t67x30etg-h-v7uH5__opuQKKr9-Pj48ekWsM9QkPxfge2V0t1_YxxIir5EmljZToC9b-3_mjdyU
linkToUnpaywall http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3db9MwED-NTgh44PsjMJCReKMpqeMkzmMZTAOJwcMG48lyHIdOFKdqU9D4q_gTuXOSQmFC7ClS7SZO7nz3s333O4AnnFc5Gr4qzFNThCKvorBIZBEaYkHVNiujivY73hyk-0fi9XFyvAVpnwvjg_Y9paU303102LMlOhpKBuNxGBOVZShG87K6ANtpghh8ANtHB-8mH6mSHGKUEGEC7zJkolie8ecNL-TJ-s9CmH8HSq5PS6_ApZWb69Nvejb7zSHtXYMP_au0cSifR6umGJnvf7A8nv9dr8PVDqOySdvzBmxZdxMutlUrT2_Bjwlz9Vc7Y0uUr2XkB0tWO0aZ_BTss1gy3QkdG2ijl-2-ff_qRTjOGfphS-XyGEqUzRd0StQwxKDMoRdlCKDZtCtk0uWHMu1KdtLH2TMKVBvi7RntOdLVuqmPYWBUGaflHMe1v7_TF7-ywIfdhsO9l4e7-2FX-CE0IucNzlxriiLN04TrOM005RIhjovQr5hxbkvNhSXePKGlrqS1ES8Nmp4MbQvXksd3YOBqZ-8BjkpEsrCF5rwQ0qSayInGOtMyLnWWmgCe9nqg5i29h_LH8rFUrRgUikF5MSgRwHNSlXVPoub2P9SLT6oTn8okUfqLCtdhkTAy02jYsgqNeZlo4tIPYKdXNNXZi6WiYN4xnQhj8-N1M850Or7Rztartg9xHWV5AHdbvVyPJEYYikAwCUBuaOzGUDdb3MnUs4kTd0eOMzOAYa_cv8b1r28xXE-A__h098_X_QFc5qT_tN0ldmDQLFb2IaK_pnjUTfWfbvNVEQ
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+novel+scale+based+on+biomarkers+associated+with+COVID-19+severity+can+predict+the+need+for+hospitalization+and+intensive+care%2C+as+well+as+enhanced+probabilities+for+mortality&rft.jtitle=Scientific+reports&rft.au=Nieto-Ortega%2C+Eduardo&rft.au=Maldonado-del-Arenal%2C+Alejandro&rft.au=Escudero-Roque%2C+Lupita&rft.au=Macedo-Falcon%2C+Diana+Ali&rft.date=2023-06-04&rft.pub=Nature+Publishing+Group+UK&rft.eissn=2045-2322&rft.volume=13&rft_id=info:doi/10.1038%2Fs41598-023-30913-4&rft_id=info%3Apmid%2F37271755&rft.externalDocID=PMC10239539
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2045-2322&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2045-2322&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2045-2322&client=summon