There have been advances in both cancer and sepsis treatment over the past several decades, yet little is known about trends in sepsis-associated mortality in patients with versus without cancer. To assess trends in sepsis-associated mortality in hospitalized patients with and without cancer using objective clinical criteria to identify sepsis and detailed clinical data to adjust for severity of illness. This was a retrospective cohort study at a tertiary referral hospital and cancer center. Adult in-patients with clinical indicators of sepsis (U.S. Centers for Disease Control and Prevention Adult Sepsis Event criteria) were identified between 2003 and 2014. Patients with cancer were identified using diagnosis codes from their hospitalization or the preceding 90 days. Sepsis-associated in-hospital mortality rates were assessed in 3-year intervals. Multivariable logistic regression models were used to adjust for case mix and severity of illness and to test for subgroup interactions in trends. The cohort included 20,975 patients with sepsis, of whom 7,489 (35.7%) had cancer (61.7% solid and 38.3% hematologic). Sepsis-associated mortality rates in patients with cancer decreased from 31.3% in 2003-2005 to 26.0% in 2012-2014 (absolute decrease, 5.2% [95% confidence interval (CI), 2.3-8.2%]). This mortality reduction persisted after risk adjustment (adjusted odds ratio, 0.53 [95% CI, 0.45-0.63] in 2012-2014 relative to 2003-2005). In contrast, sepsis-associated mortality rates increased in patients without cancer from 20.9% in 2003-2005 to 23.9% in 2012-2014 (absolute increase, 2.1% [95% CI, 0.1-4.1%]), but were stable after risk-adjustment (adjusted odds ratio, 0.90 [95% CI, 0.79-1.03]) ( < 0.001 for comparison of trends between patients with vs. without cancer on both crude and adjusted analysis). Among patients with cancer, declines in risk-adjusted sepsis-associated mortality were observed in both solid and hematologic cancer subgroups, with both community-onset and hospital-onset sepsis, in patients receiving active cancer treatments, and in patients requiring mechanical ventilation at sepsis onset. Sepsis-associated mortality rates declined significantly over a 12-year period in patients with cancer, but not in patients without cancer. Potential explanations include advances in the management of cancer and/or better sepsis treatments specifically in patients with cancer. Further research is needed to elucidate the reasons for our findings and to assess their generalizability to other hospitals.
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http://dx.doi.org/10.1513/AnnalsATS.201909-655OC | DOI Listing |
J Inflamm (Lond)
January 2025
Department of Critical Care Medicine, Children's Hospital of Chongqing Medical University, Chongqing, China.
Background: Sepsis is a severe condition causing organ failure due to an abnormal immune reaction to infection, characterized by ongoing excessive inflammation and immune system issues. Osteopontin (OPN) is secreted by various cells and plays a crucial role in inflammatory responses and immune regulation. Nonetheless, the precise function of OPN in sepsis remains to be elucidated.
View Article and Find Full Text PDFImmun Inflamm Dis
January 2025
The First Department of Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Background: Sepsis and acute respiratory distress syndrome (ARDS) are common inflammatory conditions in intensive care, with ARDS significantly increasing mortality in septic patients. PANoptosis, a newly discovered form of programmed cell death involving multiple cell death pathways, plays a critical role in inflammatory diseases. This study aims to elucidate the PANoptosis-related genes (PRGs) and their involvement in the progression of sepsis to ARDS.
View Article and Find Full Text PDFBackground: This study aimed to identify distinct trajectories of serum osmolality within the first 72 h for patients with sepsis-associated encephalopathy (SAE) in the MIMIC-IV and eICU-CRD databases and assess their impact on mortality and adverse clinical outcomes.
Methods: In this retrospective cohort study, patients with SAE from the MIMIC-IV database were included. Group-based trajectory modeling (GBTM) was used to categorize distinct patterns of serum osmolality changes over 72 h in ICU patients.
Am J Forensic Med Pathol
January 2025
From the Department of Pathology, University of Nevada Reno School of Medicine.
Necrotizing wound infections are potentially lethal complications of surgeries, including cesarean deliveries. A 32-year-old female with obesity and hidradenitis suppurativa (HS) underwent uncomplicated cesarean section. Four days later, she developed abdominal pain and imaging showed ascites; she was treated with antibiotics.
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
Department of Stomatology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Sepsis remains a leading cause of morbidity and mortality worldwide due to its rapid progression and heterogeneous nature. This review explores the potential of Artificial Intelligence (AI) to transform sepsis management, from early detection to personalized treatment and real-time monitoring. AI, particularly through machine learning (ML) techniques such as random forest models and deep learning algorithms, has shown promise in analyzing electronic health record (EHR) data to identify patterns that enable early sepsis detection.
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