The project aims to investigate the correlation between obesity, overweight, or low body weight and the risk of mortality in sepsis patients. We performed a rigorous and thorough search of major electronic databases, including PubMed, Web of Science, EMBASE, and Cochrane Library, from the inception of these databases up to March 28, 2023. The data were analyzed with Stata software (version 16.0). Twelve studies incorporating 521,207 individuals were enrolled. The results demonstrated that obesity (OR = 0.82; 95% CI: 0.69-0.97; < 0.001) or overweight (OR = 0.83; 95% CI: 0.73-0.94; < 0.001) decreased the risk of mortality in sepsis patients. Instead, the reverse phenomena existed in patients with a low weight (OR = 1.43; 95%CI: 1.16-1.76; = 0.038). There is an "obesity paradox" phenomenon in the mortality of obese and overweight patients with sepsis, but low body weight is an independent risk factor for the mortality of sepsis patients. This study demonstrated that the mortality in sepsis patients and obesity or overweight were negatively correlated, but displayed a significant positive relation to low weight.
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http://dx.doi.org/10.1016/j.heliyon.2023.e19556 | DOI Listing |
Ann Emerg Med
January 2025
Department of Emergency Medicine, Kaiser Permanente San Diego Medical Center, San Diego, CA.
Study Objective: This study analyzes emergency medicine airway management trends and outcomes among community emergency departments.
Methods: A multicenter, retrospective chart review was conducted on 11,475 intubations from 15 different community emergency departments between January 1, 2015, and December 31, 2022. Data collected included patient's age, sex, rapid sequence intubation medications, use of cricoid pressure, method of intubation, number of attempts, admission diagnosis, and all-cause mortality rates.
J Clin Med
January 2025
Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126 Parma, Italy.
Sepsis is one of the leading causes of mortality in hospital settings, and early diagnosis is a crucial challenge to improve clinical outcomes. Artificial intelligence (AI) is emerging as a valuable resource to address this challenge, with numerous investigations exploring its application to predict and diagnose sepsis early, as well as personalizing its treatment. Machine learning (ML) models are able to use clinical data collected from hospital Electronic Health Records or continuous monitoring to predict patients at risk of sepsis hours before the onset of symptoms.
View Article and Find Full Text PDFJ Clin Med
December 2024
Department of Neonatology, Faculty of Medicine, Ludwik Rydgier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Ujejskiego 75, 85-168 Bydgoszcz, Poland.
Neonatal sepsis, a severe infection in newborns, remains one of the leading causes of morbidity and mortality among preterm infants. This study aimed to investigate the distribution of pathogens responsible for early-onset sepsis (EOS) and late-onset sepsis (LOS), the annual variability of pathogens responsible for each type of infection, and potential trends in their profiles in preterm infants from a tertiary care neonatal intensive care unit over a ten-year period. We analyzed 177 episodes of confirmed bloodstream infection between 1 January 2014 and 31 December 2023.
View Article and Find Full Text PDFCancers (Basel)
January 2025
Department of Anesthesiology and Critical Care, Paoli-Calmettes Institute, 13009 Marseille, France.
Introduction: Transhiatal esophagectomy (THE) is used for specific gastroesophageal junction adenocarcinomas. THE is a high-risk surgical procedure. We aimed to assess the impact of postoperative sepsis (sepsis or septic shock) on the 1-year mortality after THE and to determine the risk factors associated with these outcomes.
View Article and Find Full Text PDFNutrients
December 2024
Department of Anesthesiology, Reanimatology and Intensive Care, University Hospital Split, 21000 Split, Croatia.
Background: Studies have shown a high prevalence of vitamin D deficiency in critically ill patients, and these patients are at higher risk for pneumonia and have increased incidence of sepsis and mortality. In this study, we reviewed available literature from randomized controlled trials (RCTs) on vitamin D supplementation in critically ill patients and summarized the evidence in this narrative review.
Methods: Randomized controlled trials that included vitamin D supplementation as an intervention were eligible for inclusion.
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