Vital sign triage to rule out diabetic ketoacidosis and non-ketotic hyperosmolar syndrome in hyperglycemic patients

To develop a prediction algorithm to rule out diabetic ketoacidosis (DKA) and non-ketotic hyperosmolar syndrome (NKHS) based on vital signs for early triage of patients with diabetes. The subjects were consecutive adult diabetic patients with hyperglycemia (blood glucose ≥250 mg/dl) who presented at...

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Published inDiabetes Research and Clinical Practice Vol. 87; no. 3; pp. 366 - 371
Main Authors Tokuda, Yasuharu, Omata, Fumio, Tsugawa, Yusuke, Maesato, Kyouko, Momotura, Kazuhisa, Fujinuma, Atsuko, Stein, Gerald H., Cook, E. Francis
Format Journal Article
LanguageEnglish
Published Ireland Elsevier Ireland Ltd 01.03.2010
Elsevier BV
Subjects
Online AccessGet full text
ISSN0168-8227
1872-8227
1872-8227
DOI10.1016/j.diabres.2009.11.020

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Abstract To develop a prediction algorithm to rule out diabetic ketoacidosis (DKA) and non-ketotic hyperosmolar syndrome (NKHS) based on vital signs for early triage of patients with diabetes. The subjects were consecutive adult diabetic patients with hyperglycemia (blood glucose ≥250 mg/dl) who presented at an emergency department. Based on a derivation sample ( n = 392, 70% of 544 patients at a hospital in Okinawa), recursive partitioning analysis was used to develop a tree-based algorithm. Validation was conducted using the other 30% of the patients in Okinawa ( n = 152, internal validation) and patients at a hospital in Tokyo ( n = 95, external validation). Three risk groups for DKA/NKHS were identified: a high-risk group of patients with glucose >400 mg/dl or systolic blood pressure <100 mmHg; a low risk group of patients with glucose ≤400 mg/dl and normal vital signs (systolic blood pressure ≥100 mmHg, pulse ≤90/min, and respiratory rate ≤20/min); and an intermediate risk group. The prevalences of DKA/NKHS were 2% (derivation set), 0% (internal validation set), and 0% (external validation set) in the low risk group, respectively. Our algorithm may help DKA/NKHS triage and patients with normal vital signs can be initially triaged as low risk for DKA/NKHS.
AbstractList To develop a prediction algorithm to rule out diabetic ketoacidosis (DKA) and non-ketotic hyperosmolar syndrome (NKHS) based on vital signs for early triage of patients with diabetes. The subjects were consecutive adult diabetic patients with hyperglycemia (blood glucose ≥250 mg/dl) who presented at an emergency department. Based on a derivation sample ( n = 392, 70% of 544 patients at a hospital in Okinawa), recursive partitioning analysis was used to develop a tree-based algorithm. Validation was conducted using the other 30% of the patients in Okinawa ( n = 152, internal validation) and patients at a hospital in Tokyo ( n = 95, external validation). Three risk groups for DKA/NKHS were identified: a high-risk group of patients with glucose >400 mg/dl or systolic blood pressure <100 mmHg; a low risk group of patients with glucose ≤400 mg/dl and normal vital signs (systolic blood pressure ≥100 mmHg, pulse ≤90/min, and respiratory rate ≤20/min); and an intermediate risk group. The prevalences of DKA/NKHS were 2% (derivation set), 0% (internal validation set), and 0% (external validation set) in the low risk group, respectively. Our algorithm may help DKA/NKHS triage and patients with normal vital signs can be initially triaged as low risk for DKA/NKHS.
To develop a prediction algorithm to rule out diabetic ketoacidosis (DKA) and non-ketotic hyperosmolar syndrome (NKHS) based on vital signs for early triage of patients with diabetes. The subjects were consecutive adult diabetic patients with hyperglycemia (blood glucose >or=250mg/dl) who presented at an emergency department. Based on a derivation sample (n=392, 70% of 544 patients at a hospital in Okinawa), recursive partitioning analysis was used to develop a tree-based algorithm. Validation was conducted using the other 30% of the patients in Okinawa (n=152, internal validation) and patients at a hospital in Tokyo (n=95, external validation). Three risk groups for DKA/NKHS were identified: a high-risk group of patients with glucose >400mg/dl or systolic blood pressure <100mmHg; a low risk group of patients with glucose <or=400mg/dl and normal vital signs (systolic blood pressure >or=100mmHg, pulse <or=90/min, and respiratory rate <or=20/min); and an intermediate risk group. The prevalences of DKA/NKHS were 2% (derivation set), 0% (internal validation set), and 0% (external validation set) in the low risk group, respectively. Our algorithm may help DKA/NKHS triage and patients with normal vital signs can be initially triaged as low risk for DKA/NKHS.
To develop a prediction algorithm to rule out diabetic ketoacidosis (DKA) and non-ketotic hyperosmolar syndrome (NKHS) based on vital signs for early triage of patients with diabetes.AIMSTo develop a prediction algorithm to rule out diabetic ketoacidosis (DKA) and non-ketotic hyperosmolar syndrome (NKHS) based on vital signs for early triage of patients with diabetes.The subjects were consecutive adult diabetic patients with hyperglycemia (blood glucose >or=250mg/dl) who presented at an emergency department. Based on a derivation sample (n=392, 70% of 544 patients at a hospital in Okinawa), recursive partitioning analysis was used to develop a tree-based algorithm. Validation was conducted using the other 30% of the patients in Okinawa (n=152, internal validation) and patients at a hospital in Tokyo (n=95, external validation).METHODSThe subjects were consecutive adult diabetic patients with hyperglycemia (blood glucose >or=250mg/dl) who presented at an emergency department. Based on a derivation sample (n=392, 70% of 544 patients at a hospital in Okinawa), recursive partitioning analysis was used to develop a tree-based algorithm. Validation was conducted using the other 30% of the patients in Okinawa (n=152, internal validation) and patients at a hospital in Tokyo (n=95, external validation).Three risk groups for DKA/NKHS were identified: a high-risk group of patients with glucose >400mg/dl or systolic blood pressure <100mmHg; a low risk group of patients with glucose <or=400mg/dl and normal vital signs (systolic blood pressure >or=100mmHg, pulse <or=90/min, and respiratory rate <or=20/min); and an intermediate risk group. The prevalences of DKA/NKHS were 2% (derivation set), 0% (internal validation set), and 0% (external validation set) in the low risk group, respectively.RESULTSThree risk groups for DKA/NKHS were identified: a high-risk group of patients with glucose >400mg/dl or systolic blood pressure <100mmHg; a low risk group of patients with glucose <or=400mg/dl and normal vital signs (systolic blood pressure >or=100mmHg, pulse <or=90/min, and respiratory rate <or=20/min); and an intermediate risk group. The prevalences of DKA/NKHS were 2% (derivation set), 0% (internal validation set), and 0% (external validation set) in the low risk group, respectively.Our algorithm may help DKA/NKHS triage and patients with normal vital signs can be initially triaged as low risk for DKA/NKHS.CONCLUSIONSOur algorithm may help DKA/NKHS triage and patients with normal vital signs can be initially triaged as low risk for DKA/NKHS.
Abstract Aims To develop a prediction algorithm to rule out diabetic ketoacidosis (DKA) and non-ketotic hyperosmolar syndrome (NKHS) based on vital signs for early triage of patients with diabetes. Methods The subjects were consecutive adult diabetic patients with hyperglycemia (blood glucose ≥250 mg/dl) who presented at an emergency department. Based on a derivation sample ( n = 392, 70% of 544 patients at a hospital in Okinawa), recursive partitioning analysis was used to develop a tree-based algorithm. Validation was conducted using the other 30% of the patients in Okinawa ( n = 152, internal validation) and patients at a hospital in Tokyo ( n = 95, external validation). Results Three risk groups for DKA/NKHS were identified: a high-risk group of patients with glucose >400 mg/dl or systolic blood pressure <100 mmHg; a low risk group of patients with glucose ≤400 mg/dl and normal vital signs (systolic blood pressure ≥100 mmHg, pulse ≤90/min, and respiratory rate ≤20/min); and an intermediate risk group. The prevalences of DKA/NKHS were 2% (derivation set), 0% (internal validation set), and 0% (external validation set) in the low risk group, respectively. Conclusions Our algorithm may help DKA/NKHS triage and patients with normal vital signs can be initially triaged as low risk for DKA/NKHS.
Author Tsugawa, Yusuke
Maesato, Kyouko
Stein, Gerald H.
Momotura, Kazuhisa
Omata, Fumio
Cook, E. Francis
Fujinuma, Atsuko
Tokuda, Yasuharu
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  organization: Department of Medicine, College of Medicine, University of Florida, Gainesville, FL, USA
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  givenname: E. Francis
  surname: Cook
  fullname: Cook, E. Francis
  organization: Department of Epidemiology, Harvard School of Public Health, Boston, USA
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CitedBy_id crossref_primary_10_1002_dmrr_1027
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Issue 3
Keywords Non-ketotic hyperosmolar syndrome
Triage
Recursive partitioning analysis
Vital sign
Diabetic ketoacidosis
Language English
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Snippet To develop a prediction algorithm to rule out diabetic ketoacidosis (DKA) and non-ketotic hyperosmolar syndrome (NKHS) based on vital signs for early triage of...
Abstract Aims To develop a prediction algorithm to rule out diabetic ketoacidosis (DKA) and non-ketotic hyperosmolar syndrome (NKHS) based on vital signs for...
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SubjectTerms Adult
Age Factors
Aged
Aged, 80 and over
Algorithms
Blood Glucose
Blood Glucose - metabolism
Diabetic Ketoacidosis
Diabetic Ketoacidosis - blood
Diabetic Ketoacidosis - diagnosis
Diabetic Ketoacidosis - etiology
Diagnosis, Differential
Endocrinology & Metabolism
Female
Humans
Hyperglycemia
Hyperglycemia - blood
Hyperglycemia - complications
Hyperglycemic Hyperosmolar Nonketotic Coma
Hyperglycemic Hyperosmolar Nonketotic Coma - blood
Hyperglycemic Hyperosmolar Nonketotic Coma - diagnosis
Hyperglycemic Hyperosmolar Nonketotic Coma - etiology
Male
Middle Aged
Non-ketotic hyperosmolar syndrome
Prognosis
Recursive partitioning analysis
Retrospective Studies
Risk Assessment
Risk Factors
Time Factors
Triage
Vital sign
Vital Signs
Title Vital sign triage to rule out diabetic ketoacidosis and non-ketotic hyperosmolar syndrome in hyperglycemic patients
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https://cir.nii.ac.jp/crid/1870865117940924288
https://www.ncbi.nlm.nih.gov/pubmed/20022653
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