Purpose: The purpose of our study was to explore the prognostic value of complete blood count and myocardial markers combination with Sequential Organ Failure Assessment (SOFA) score in predicting the 28-day mortality among sepsis patients.
Patients And Methods: A retrospective observational cohort study was performed. Three hundred and nineteen sepsis patients who were hospitalized at the Second Affiliated Hospital of Chongqing Medical University, China, from January 2019 to September 2021 were included. The clinical and laboratory data, the Acute Physiological and Chronic Health Evaluation II (APACHE II) score and SOFA score at the time of the initial sepsis diagnosis were collected, and the predictive values of the single and combination variables for 28-day mortality were compared.
Results: The derivation cohort consisted of 221 patients and included 59 (26.7%) died. The area under the curve (AUC) [95% confidence interval (CI)] of RDW and cTnT were 0.735 (0.663-0.807) and 0.753 (0.678-0.827) for mortality, and the cut-off value were 14.05% and 0.039 ng/mL, respectively. The combination of RDW, cTnT and the SOFA score showed a better performance for the prediction of mortality, and the AUC was significantly higher than that of the SOFA score (0.791 vs 0.726, DeLong test: =0.032). Multivariate Cox analysis identified that the combination of RDW, cTnT and the SOFA score (HR=6.133, =0.004) and APACHE II score (HR=1.093, <0.001) were independent detrimental factors for 28-day mortality. The validation cohort consisted of 98 patients and included 23 (23.5%) died. Similarly, the AUC of the RDW, cTnT and the SOFA score combination is significantly higher than that of the SOFA score (0.821 vs 0.739, DeLong test: =0.035).
Conclusion: RDW and cTnT showed good performance in predicting 28-day mortality rates among patients with sepsis. Combined RDW and cTnT with the SOFA score can significantly improve the predictive value of SOFA score for the prognosis of sepsis.
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http://dx.doi.org/10.2147/IJGM.S349751 | DOI Listing |
Cell Rep Med
January 2025
Department of Cardiovascular Surgery, National Clinical Research Center for Cardiovascular Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
Ulinastatin is a protease-inhibiting drug with anti-inflammatory and other pharmacological properties. Little is known regarding its role following acute type A aortic dissection (ATAAD) surgery. We perform a randomized controlled trial to investigate the protective effect of ulinastatin against negative inflammatory response and organ dysfunction in ATAAD surgery (PANDA).
View Article and Find Full Text PDFAntimicrob Agents Chemother
January 2025
Argentinian Society for Critical Care (SATI), Buenos Aires, Buenos Aires, Argentina.
Unlabelled: Data from low and middle-income countries (LMICs) on multidrug-resistant microorganisms (MDROs) in intensive care units (ICUs) are scarce. Working in several ICUs in Argentina, we sought to estimate the prevalence and characteristics of MDRO infections and carbapenemase-producing Enterobacterales (CPE) colonization. Mortality associated with MDRO infection was also evaluated.
View Article and Find Full Text PDFFront Neurol
January 2025
Department of Rehabilitation Medicine, The First Affiliated Hospital of Shenzhen University/The Second People's Hospital of Shenzhen, Shenzhen, China.
Objective: This study aims to evaluate key factors influencing the short-term and long-term prognosis of stroke patients, with a particular focus on variables such as body weight, hemoglobin, electrolytes, kidney function, organ function scores, and comorbidities. Stroke poses a significant global health burden, and understanding its prognostic factors is crucial for clinical management.
Methods: This is a retrospective cohort study based on data from the MIMIC-IV database, including stroke patients from 2010 to 2020.
Shock
January 2025
Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Objective: Recent studies have proposed that Krebs cycle metabolites may serve as potential biomarkers for prognosis in sepsis. However, whether these metabolites are associated with disease severity and can be applied to improve the effectiveness of current prognosis assessment in sepsis remains unclear and is explored in this study.
Methods: This prospective multicenter cohort study was conducted in medical intensive care units (ICUs).
Front Med (Lausanne)
January 2025
Hepatobiliary Pancreatic Surgery Department, Huadu District People's Hospital of Guangzhou, Guangzhou, China.
Background: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing the need for the exploration of novel models to predict the prognosis of this patient population. This study compared the performance of traditional logistic regression and machine learning models in predicting adult sepsis mortality.
Objective: To develop an optimum model for predicting the mortality of adult sepsis patients based on comparing traditional logistic regression and machine learning methodology.
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