Association between body mass index and short-term mortality in patients with intra-abdominal infections: a retrospective, single-centre cohort study using the Medical Information Mart for Intensive Care database

Li, Qinglin; Tong, Yingmu; Liu, Sinan; Yang, Kaibo; Chang, Liu; Zhang, Jingyao

doi:10.1136/bmjopen-2020-046623

Cited by 2 publications

(2 citation statements)

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“…Several prior studies investigated the association between BMI and sepsis-related mortality. However, the conclusion remains inconclusive 18 26–29. In a majority of studies, BMI was shown to be negatively correlated with sepsis-related mortality, and obesity greatly reduced the mortality risk of septic patients 6 18 27–29.…”

Section: Discussionmentioning

confidence: 99%

“…However, the conclusion remains inconclusive 18 26–29. In a majority of studies, BMI was shown to be negatively correlated with sepsis-related mortality, and obesity greatly reduced the mortality risk of septic patients 6 18 27–29. Nevertheless, a retrospective observational investigation suggested that obese participants displayed a non-significant increase in mortality risk in adjusted 28-day mortality, relative to non-obese septic controls 26.…”

Section: Discussionmentioning

confidence: 99%

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Association between obesity and 1-year mortality in septic patients: a retrospective cohort study

et al. 2023

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ObjectiveSepsis is a major contributor of intensive care units (ICUs) patient mortality. Prior investigations claimed that obesity enhances overall survival (OS) of septic patients. However, the reported results were inconsistent. This study examined the association between obesity and the 1-year mortality of septic patients.DesignA retrospective cohort study.SettingThe Medical Information Mart for Intensive Care III database.Participants3145 septic patients were separated into three distinct cohorts, based on their WHO body mass index (BMI) status.OutcomesOur primary endpoint was the 1-year mortality from the date of ICU hospitalization.Result1334 (42.4%) died within 1 year. The 1-year mortality rate was low in obese patients (38.8%), compared with normal (46.9%) and overweight (42.1%) patients. Crude assessment revealed that obese patients experienced reduced 1-year mortality, relative to normal weight patients (HR 0.79, 95% CI 0.69 to 0.9, p<0.001). However, once adjusted for baseline variables and comorbidities, no correlation was found between obesity and the 1-year mortality (HR 0.93, 95% CI 0.81 to 1.06, p=0.28) of septic patients. There was an association among diabetic (HR 0.72, 95% CI 0.56 to 0.93, p=0.012) and hypertensive (HR 0.73, 95% CI 0.58 to 0.92, p=0.008) patients, and among males (HR 0.71, 95% CI 0.59 to 0.86, p<0.001), with obese individuals experiencing the lowest mortality rate. Given these evidences, the interactions between BMI and mortality in diabetic (p=0.031) and hypertensive (p=0.035) patients were significant.ConclusionIn our study, obese diabetic and hypertensive patients associated to less sepsis-related mortality risk, compared with normal weight patients. Further researches were need to validated.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Association between obesity and 1-year mortality in septic patients: a retrospective cohort study

et al. 2023

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Development and validation of an in-hospital mortality prediction scoring system for patients with intra-abdominal sepsis: data from two large cohorts

Zhang,

Chen,

Zhao

et al. 2024

Preprint

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Object: Intra-abdominal infection is often the first or second source of sepsis. This study aims to develop and validate a practical predictive tool to assess the risk of in-hospital mortality in patients with intra-abdominal sepsis. Methods This study used structured query language to extract clinical data of patients with abdominal sepsis from the MIMIC-IV (Intensive Care Medicine Information Marketplace IV) and the eICU Collaborative Research Database, which served as the development cohort and external validation cohort. Model screening was performed using least absolute shrinkage and selection operator (LASSO) regression, and a prediction model was constructed by logistic regression. Internal and external validation were used to evaluate the model. Results The prediction model based on six predictors (lactate, age, partial thromboplastin time, urea nitrogen, total bilirubin, platelets) showed good predictive performance, such as a C-index of 0.795 in the development cohort, a C-index of 0.767 in the internal validation cohort,,and a C-index of 0.846 in the external validation cohort. Conclusions We built a predictive model and developed a nomogram of in-hospital deaths from abdominal sepsis based on baseline characteristics. The predictive model shows good performance and can be used by clinicians as a tool to predict patient outcomes.

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Association between body mass index and short-term mortality in patients with intra-abdominal infections: a retrospective, single-centre cohort study using the Medical Information Mart for Intensive Care database

Cited by 2 publications

References 45 publications

Association between obesity and 1-year mortality in septic patients: a retrospective cohort study

Association between obesity and 1-year mortality in septic patients: a retrospective cohort study

Development and validation of an in-hospital mortality prediction scoring system for patients with intra-abdominal sepsis: data from two large cohorts

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