Fig 1.
The flowchart of patients’ selection.
Abbreviations: eICU-CRD, the eICU collaborative research database; MIMIC, medical information mart for intensive care.
Table 1.
Baseline characteristics of participants by GV quartiles.
Fig 2.
Kaplan-Meier survival curves for 30-day mortality.
Table 2.
Associations between GV and ICU mortality in the multiple regression model.
Table 3.
Associations between GV and 30-day mortality in the multiple regression model.
Table 4.
The non-linearity relationship between GV and 30-day mortality.
Fig 3.
Dose-response relationship between the GV and ICU mortality.
Note: Adjusted for the following covariates: demographics (age, gender, ethnicity); vital signs (temperature, heart rate, systolic blood pressure, diastolic blood pressure); comorbidities (hypertension, diabetes, myocardial infarction, congestive heart failure, chronic pulmonary disease, renal failure); laboratory tests (glucose, hemoglobin, WBC count, platelet count, creatinine, BUN); and medications (statin use, anti-platelet drugs, ACEI/ARB, beta-blockers, vasopressor use, and mechanical ventilation).
Fig 4.
Dose-response relationship between the GV and 30-day mortality.
Note: Adjusted for the following covariates: demographics (age, gender, ethnicity); vital signs (temperature, heart rate, systolic blood pressure, diastolic blood pressure); comorbidities (hypertension, diabetes, myocardial infarction, congestive heart failure, chronic pulmonary disease, renal failure); laboratory tests (glucose, hemoglobin, WBC count, platelet count, creatinine, BUN); and medications (statin use, anti-platelet drugs, ACEI/ARB, beta-blockers, vasopressor use, and mechanical ventilation).