The Relationship Between Body Mass Index and In-Hospital Mortality in Patients Following Coronary Artery Bypass Grafting Surgery
Background: The association between Body Mass Index (BMI) and clinical outcomes following coronary artery bypass grafting (CABG) remains controversial. Our objective was to investigate the real-world relationship between BMI and in-hospital clinical course and mortality, in patients who underwent CA...
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Published in | Frontiers in cardiovascular medicine Vol. 8; p. 754934 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Frontiers Media S.A
08.10.2021
|
Subjects | |
Online Access | Get full text |
ISSN | 2297-055X 2297-055X |
DOI | 10.3389/fcvm.2021.754934 |
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Abstract | Background:
The association between Body Mass Index (BMI) and clinical outcomes following coronary artery bypass grafting (CABG) remains controversial. Our objective was to investigate the real-world relationship between BMI and in-hospital clinical course and mortality, in patients who underwent CABG.
Methods:
A sampled cohort of patients who underwent CABG between October 2015 and December 2016 was identified in the National Inpatient Sample (NIS) database. Outcomes of interest included in-hospital mortality, peri-procedural complications and length of stay. Patients were divided into 6 BMI (kg/m
2
) subgroups; (1) under-weight ≤19, (2) normal-weight 20–25, (3) over-weight 26–30, (4) obese I 31–35, (5) obese II 36–39, and (6) extremely obese ≥40. Multivariable logistic regression model was used to identify predictors of in-hospital mortality. Linear regression model was used to identify predictors of length of stay (LOS).
Results:
An estimated total of 48,710 hospitalizations for CABG across the U.S. were analyzed. The crude data showed a U-shaped relationship between BMI and study population outcomes with higher mortality and longer LOS in patients with BMI ≤ 19 kg/m
2
and in patients with BMI ≥40 kg/m
2
compared to patients with BMI 20–39 kg/m
2
. In the multivariable regression model, BMI subgroups of ≤19 kg/m
2
and ≥40 kg/m
2
were found to be independent predictors of mortality.
Conclusions:
A complex, U-shaped relationship between BMI and mortality was documented, confirming the “obesity paradox” in the real-world setting, in patients hospitalized for CABG. |
---|---|
AbstractList | Background: The association between Body Mass Index (BMI) and clinical outcomes following coronary artery bypass grafting (CABG) remains controversial. Our objective was to investigate the real-world relationship between BMI and in-hospital clinical course and mortality, in patients who underwent CABG.Methods: A sampled cohort of patients who underwent CABG between October 2015 and December 2016 was identified in the National Inpatient Sample (NIS) database. Outcomes of interest included in-hospital mortality, peri-procedural complications and length of stay. Patients were divided into 6 BMI (kg/m2) subgroups; (1) under-weight ≤19, (2) normal-weight 20–25, (3) over-weight 26–30, (4) obese I 31–35, (5) obese II 36–39, and (6) extremely obese ≥40. Multivariable logistic regression model was used to identify predictors of in-hospital mortality. Linear regression model was used to identify predictors of length of stay (LOS).Results: An estimated total of 48,710 hospitalizations for CABG across the U.S. were analyzed. The crude data showed a U-shaped relationship between BMI and study population outcomes with higher mortality and longer LOS in patients with BMI ≤ 19 kg/m2 and in patients with BMI ≥40 kg/m2 compared to patients with BMI 20–39 kg/m2. In the multivariable regression model, BMI subgroups of ≤19 kg/m2 and ≥40 kg/m2 were found to be independent predictors of mortality.Conclusions: A complex, U-shaped relationship between BMI and mortality was documented, confirming the “obesity paradox” in the real-world setting, in patients hospitalized for CABG. Background: The association between Body Mass Index (BMI) and clinical outcomes following coronary artery bypass grafting (CABG) remains controversial. Our objective was to investigate the real-world relationship between BMI and in-hospital clinical course and mortality, in patients who underwent CABG. Methods: A sampled cohort of patients who underwent CABG between October 2015 and December 2016 was identified in the National Inpatient Sample (NIS) database. Outcomes of interest included in-hospital mortality, peri-procedural complications and length of stay. Patients were divided into 6 BMI (kg/m 2 ) subgroups; (1) under-weight ≤19, (2) normal-weight 20–25, (3) over-weight 26–30, (4) obese I 31–35, (5) obese II 36–39, and (6) extremely obese ≥40. Multivariable logistic regression model was used to identify predictors of in-hospital mortality. Linear regression model was used to identify predictors of length of stay (LOS). Results: An estimated total of 48,710 hospitalizations for CABG across the U.S. were analyzed. The crude data showed a U-shaped relationship between BMI and study population outcomes with higher mortality and longer LOS in patients with BMI ≤ 19 kg/m 2 and in patients with BMI ≥40 kg/m 2 compared to patients with BMI 20–39 kg/m 2 . In the multivariable regression model, BMI subgroups of ≤19 kg/m 2 and ≥40 kg/m 2 were found to be independent predictors of mortality. Conclusions: A complex, U-shaped relationship between BMI and mortality was documented, confirming the “obesity paradox” in the real-world setting, in patients hospitalized for CABG. Background: The association between Body Mass Index (BMI) and clinical outcomes following coronary artery bypass grafting (CABG) remains controversial. Our objective was to investigate the real-world relationship between BMI and in-hospital clinical course and mortality, in patients who underwent CABG. Methods: A sampled cohort of patients who underwent CABG between October 2015 and December 2016 was identified in the National Inpatient Sample (NIS) database. Outcomes of interest included in-hospital mortality, peri-procedural complications and length of stay. Patients were divided into 6 BMI (kg/m2) subgroups; (1) under-weight ≤19, (2) normal-weight 20-25, (3) over-weight 26-30, (4) obese I 31-35, (5) obese II 36-39, and (6) extremely obese ≥40. Multivariable logistic regression model was used to identify predictors of in-hospital mortality. Linear regression model was used to identify predictors of length of stay (LOS). Results: An estimated total of 48,710 hospitalizations for CABG across the U.S. were analyzed. The crude data showed a U-shaped relationship between BMI and study population outcomes with higher mortality and longer LOS in patients with BMI ≤ 19 kg/m2 and in patients with BMI ≥40 kg/m2 compared to patients with BMI 20-39 kg/m2. In the multivariable regression model, BMI subgroups of ≤19 kg/m2 and ≥40 kg/m2 were found to be independent predictors of mortality. Conclusions: A complex, U-shaped relationship between BMI and mortality was documented, confirming the "obesity paradox" in the real-world setting, in patients hospitalized for CABG.Background: The association between Body Mass Index (BMI) and clinical outcomes following coronary artery bypass grafting (CABG) remains controversial. Our objective was to investigate the real-world relationship between BMI and in-hospital clinical course and mortality, in patients who underwent CABG. Methods: A sampled cohort of patients who underwent CABG between October 2015 and December 2016 was identified in the National Inpatient Sample (NIS) database. Outcomes of interest included in-hospital mortality, peri-procedural complications and length of stay. Patients were divided into 6 BMI (kg/m2) subgroups; (1) under-weight ≤19, (2) normal-weight 20-25, (3) over-weight 26-30, (4) obese I 31-35, (5) obese II 36-39, and (6) extremely obese ≥40. Multivariable logistic regression model was used to identify predictors of in-hospital mortality. Linear regression model was used to identify predictors of length of stay (LOS). Results: An estimated total of 48,710 hospitalizations for CABG across the U.S. were analyzed. The crude data showed a U-shaped relationship between BMI and study population outcomes with higher mortality and longer LOS in patients with BMI ≤ 19 kg/m2 and in patients with BMI ≥40 kg/m2 compared to patients with BMI 20-39 kg/m2. In the multivariable regression model, BMI subgroups of ≤19 kg/m2 and ≥40 kg/m2 were found to be independent predictors of mortality. Conclusions: A complex, U-shaped relationship between BMI and mortality was documented, confirming the "obesity paradox" in the real-world setting, in patients hospitalized for CABG. |
Author | Kusniec, Fabio Carasso, Shemy Alcalai, Ronny Strauss, Bradley Planer, David Wijeysundera, Harindra C. Rozen, Guy Marai, Ibrahim Amir, Offer Erez, Eldad Yarkoni, Merav Elbaz-Greener, Gabby Smart, Frank W. |
AuthorAffiliation | 8 Division of Cardiology, Schulich Heart Centre, Sunnybrook Health Sciences Centre, University of Toronto , Toronto, ON , Canada 5 Cardiology Division, Harvard Medical School, Massachusetts General Hospital , Boston, MA , United States 1 Department of Cardiology, Hadassah Medical Center , Jerusalem , Israel 7 The Azrieli Faculty of Medicine in the Galilee, Bar-Ilan University , Safed , Israel 2 Faculty of Medicine, Hebrew University of Jerusalem , Jerusalem , Israel 4 The Ruth and Bruce Rappaport Faculty of Medicine, Technion , Haifa , Israel 6 Division of Cardiovascular Medicine, Baruch Padeh Medical Center , Poriya , Israel 9 Louisiana State University School of Medicine , New Orleans, LA , United States 10 Department of Cardio Surgery, Hadassah Medical Center, Hebrew University of Jerusalem , Jerusalem , Israel 3 Cardiology Division, Hillel Yaffe Medical Center , Hadera , Israel |
AuthorAffiliation_xml | – name: 8 Division of Cardiology, Schulich Heart Centre, Sunnybrook Health Sciences Centre, University of Toronto , Toronto, ON , Canada – name: 10 Department of Cardio Surgery, Hadassah Medical Center, Hebrew University of Jerusalem , Jerusalem , Israel – name: 4 The Ruth and Bruce Rappaport Faculty of Medicine, Technion , Haifa , Israel – name: 9 Louisiana State University School of Medicine , New Orleans, LA , United States – name: 5 Cardiology Division, Harvard Medical School, Massachusetts General Hospital , Boston, MA , United States – name: 6 Division of Cardiovascular Medicine, Baruch Padeh Medical Center , Poriya , Israel – name: 7 The Azrieli Faculty of Medicine in the Galilee, Bar-Ilan University , Safed , Israel – name: 2 Faculty of Medicine, Hebrew University of Jerusalem , Jerusalem , Israel – name: 3 Cardiology Division, Hillel Yaffe Medical Center , Hadera , Israel – name: 1 Department of Cardiology, Hadassah Medical Center , Jerusalem , Israel |
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Copyright | Copyright © 2021 Elbaz-Greener, Rozen, Carasso, Kusniec, Yarkoni, Marai, Strauss, Wijeysundera, Smart, Erez, Alcalai, Planer and Amir. Copyright © 2021 Elbaz-Greener, Rozen, Carasso, Kusniec, Yarkoni, Marai, Strauss, Wijeysundera, Smart, Erez, Alcalai, Planer and Amir. 2021 Elbaz-Greener, Rozen, Carasso, Kusniec, Yarkoni, Marai, Strauss, Wijeysundera, Smart, Erez, Alcalai, Planer and Amir |
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Snippet | Background:
The association between Body Mass Index (BMI) and clinical outcomes following coronary artery bypass grafting (CABG) remains controversial. Our... Background: The association between Body Mass Index (BMI) and clinical outcomes following coronary artery bypass grafting (CABG) remains controversial. Our... |
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StartPage | 754934 |
SubjectTerms | body mass index (BMI) Cardiovascular Medicine coronary artery bypass grafting surgery (CABG) ischemic heart mortality outcome |
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Title | The Relationship Between Body Mass Index and In-Hospital Mortality in Patients Following Coronary Artery Bypass Grafting Surgery |
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