ArticleBioMed research international2021
Body Mass Index Is Associated with the Severity and All-Cause Mortality of Acute Kidney Injury in Critically Ill Patients: An Analysis of a Large Critical Care Database.
Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 11 citations in OpenAlex.
- Prognostic significance of malnutrition risk in elderly patients with acute kidney injury in the intensive care unit.BMC nephrology · 2022Trial
- Initial serum chloride is associated with all-cause mortality in critically ill patients with acute kidney injury.Renal failure · 2025Article
- A genotype-guided prediction model for the incidence of persistent acute kidney injury following lung transplantation.BMC nephrology · 2024Article
- Obesity and Acute Kidney Injury in Patients with ST-Elevation Myocardial Infarction.Journal of clinical medicine · 2023Article
- Association between obesity and short- and medium-term mortality in critically ill patients with atrial fibrillation: a retrospective cohort study.BMC cardiovascular disorders · 2023Article
- The prognostic effects of the geriatric nutritional risk index on elderly acute kidney injury patients in intensive care units.Frontiers in medicine · 2023Article
- Modelling kidney outcomes based on MELD eras - impact of MELD score in renal endpoints after liver transplantation.BMC nephrology · 2022Article
- The effect of obesity on in-hospital mortality among patients with COVID-19 receiving corticosteroids.Diabetes & metabolic syndrome · 2022Article
- Association Between Obesity and Lower Short- and Long-Term Mortality in Coronary Care Unit Patients: A Cohort Study of the MIMIC-III Database.Frontiers in endocrinology · 2022Article
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6 authors at 1 institution in 1 country.
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Abstract
backgroundAcute kidney injury (AKI) is a common clinical syndrome carrying high morbidity and mortality. Body mass index (BMI) is a common health indicator, and a high BMI value-obesity has been shown to be associated with the outcomes of several diseases. However, the relationship between different BMI categories and mortality in all critically ill patients with AKI is unclear and needs further investigation. Therefore, we evaluated the ability of BMI to predict the severity and all-cause mortality of AKI in critically ill patients.
methodsWe extracted clinical data from the MIMIC-III v1.4 database. All adult patients with AKI were initially screened. The baseline data extracted within 24 hours after ICU admission were presented according to WHO BMI categories. Logistic regression models and the Cox proportional hazards models were, respectively, constructed to assess the relationship between BMI and the severity and all-cause mortality of AKI. The generalized additive model (GAM) was used to identify nonlinear relationships as BMI was a continuous variable. The subgroup analyses were performed to further analyze the stability of the association between BMI category and 365-day all-cause mortality of AKI.
resultA total of 15,174 patients were extracted and were divided into four groups according to BMI. Obese patients were more likely to be young and male. In the fully adjusted logistic regression model, we found that overweight and obesity were significant predictors of AKI stage III (OR, 95 CI: 1.17, 1.05-1.30; 1.32, 1.18-1.47). In the fully adjusted Cox proportional hazards model, overweight and obesity were associated with significantly lower 30-day, 90-day, and 365-day all-cause mortality. The corresponding adjusted HRs (95 CIs) for overweight patients were 0.87 (0.77, 0.99), 0.84 (0.76, 0.93), and 0.80 (0.74, 0.88), and for obese patients, they were 0.87 (0.77, 0.98), 0.79 (0.71, 0.88), and 0.73 (0.66, 0.80), respectively. The subgroup analyses further presented a stable relationship between BMI category and 365-day all-cause mortality.
conclusionsBMI was independently associated with the severity and all-cause mortality of AKI in critical illness. Overweight and obesity were associated with increased risk of AKI stage III; however, they were predictive of a relatively lower mortality risk in these patients.
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