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Background: Septic shock and cancer occur routinely in intensive care unit patients. Our aim was to use the French national hospitalization database to overcome the limitations of the small cohorts used in previous studies that examined the 90-day mortality rate of patients with septic shock and either solid or hematological cancers.
Methods: We performed a retrospective cohort study using data from the French national hospitalization database regarding adult patients with septic shock from 2017 to 2018. The primary outcomes were the hospital mortality rate at 90 days in patients with solid cancer and hematological cancer. Secondary outcomes were the risk factors associated with mortality in our cohort. Associations between 90-day mortality and cancer have been estimated by multivariable analysis.
Results: Septic shock was found in 77,888 patients, including 19,329 patients with solid cancer, 6,498 with hematological cancer, and 52,061 noncancer patients. The 90-day mortality rate was 44.3 %, 53.7%, and 59.1% for noncancer patients, solid cancer patients and hematological cancer patients, respectively. An association was found between 90-day mortality and solid cancer (adjusted hazard ratio 1.55 [1.51-1.59]) or hematological cancer (1.59 [1.53-1.65]) as compared with noncancer patients. Risk factors for 90-day mortality included both hematological and solid cancers.
Conclusions: In septic shock patients, solid cancer and hematological cancer were associated with increased 90-day mortality compared with noncancer patients. Future investigations are required to assess the interplay between cancer and septic shock.
Registration: National Commission for Data Protection (CNIL) under number F20220318151239.
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http://dx.doi.org/10.1016/j.accpm.2025.101557 | DOI Listing |
Int J Infect Dis
September 2025
Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090, Pieve Emanuele, Milan, Italy; Infectious Diseases Unit - IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy.
Background: Echinocandins represent first-line therapy for Candida Bloodstream Infections (C-BSIs). Incidence of treatment failure (TF) remains high with unclear risk factors.
Aim: to evaluate predictors of echinocandin TF for C-BSIs.
Chest
September 2025
Department of Critical Care Medicine, Respiratory Institute, Cleveland Clinic, 9500 Euclid Ave, Cleveland, OH, USA; Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA.
Topic Importance: Sepsis-induced cardiomyopathy (SICM) is a heterogeneous cardiovascular dysfunction associated with sepsis and septic shock. While traditionally defined by reversible left ventricular (LV) systolic dysfunction, recent evidence has revealed a broader spectrum, including LV diastolic dysfunction, hyperdynamic LV systolic states, and right ventricular (RV) injury, occurring independently or in combination. Despite their prognostic significance, these phenotypes remain underrecognized and understudied.
View Article and Find Full Text PDFFront Surg
August 2025
Department of Imaging, Taixing People's Hospital Affiliated to Yangzhou University, Taixing, Jiangsu, China.
Objective: To analyze the clinical characteristics, etiological distribution, and treatment outcomes of Hepatic Portal Venous Gas (HPVG) in a cohort of elderly patients with multiple comorbidities, and to evaluate the impact of early surgical intervention on survival rates.
Methods: A retrospective study was conducted on 25 patients with HPVG admitted to Taixing People's Hospital of Yangzhou University from January 2010 to June 2024. The study included demographic characteristics, symptoms, comorbidities, etiology, laboratory and abdominal CT results, treatment, and outcomes.
J Microbiol Immunol Infect
August 2025
Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Pharmacy, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan. Electronic address:
Background: Machine learning (ML) techniques are increasingly being used in health outcome research to develop predictive models. However, ML models are often referred to as "black box models" because they lack interpretability. Our goal was to develop an ML model to predict mortality risk in patients with community-onset bacteremia.
View Article and Find Full Text PDFJ Med Chem
September 2025
Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea.
We explored the lipopolysaccharide-binding properties of adenylate kinase from (MtAdk) to facilitate the design of novel peptide antibiotics. Notably, we de novo designed 11-mer peptides derived from the AMP-binding domain (Lys44 to Asp54) of MtAdk. Among 71 designed peptides, DD-S067 was the most effective, especially against carbapenem-resistant (CRAB), with minimal development of drug resistance.
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