Background: Severe sepsis is a condition with a high mortality rate, and the majority of patients are first seen by Emergency Medical Services (EMS) personnel.
Objective: This research sought to determine the feasibility of EMS providers recognizing a severe sepsis patient, thereby resulting in better patient outcomes if standard EMS treatments for medical shock were initiated.
Methods: We developed the Sepsis Alert Protocol that incorporates a screening tool using point-of-care venous lactate meters. If severe sepsis was identified by EMS personnel, standard medical shock therapy was initiated. A prospective cohort study was conducted for 1 year to determine if those trained EMS providers were able to identify 112 severe sepsis patients before arrival at the Emergency Department. Outcomes of the sample of severe sepsis patients were examined with a retrospective case control study.
Results: Trained EMS providers transported 67 severe sepsis patients. They identified 32 of the 67 severe sepsis patients correctly (47.8%). Overall mortality for the sample of 112 severe sepsis patients transported by EMS was 26.7%. Mortality for the sample of severe sepsis patients for whom the Sepsis Alert Protocol was initiated was 13.6% (5 of 37), crude odds ratio for survival until discharge was 3.19 (95% CI 1.14-8.88; p = 0.040).
Conclusions: This pilot study is the first to utilize EMS providers and venous lactate meters to identify patients in severe sepsis. Further research is needed to validate the Sepsis Alert Protocol and the potential associated decrease in mortality.
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http://dx.doi.org/10.1016/j.jemermed.2012.11.003 | DOI Listing |
J Inflamm Res
January 2025
Department of Hematology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, Henan Province, People's Republic of China.
Background: Sepsis is a severe complication in leukemia patients, contributing to high mortality rates. Identifying early predictors of sepsis is crucial for timely intervention. This study aimed to develop and validate a predictive model for sepsis risk in leukemia patients using machine learning techniques.
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
Department of Critical Care Medicine, Qilu Hospital, Shandong University, Qingdao, China.
Objective: To investigate the potential and evolving trends in fluid management for patients with sepsis, utilizing a bibliometric approach.
Methods: Scholarly articles pertaining to fluid therapy for sepsis patients were extracted from the Web of Science (WoS) database as of June 1, 2024. The R software package, "Bibliometrix," was utilized to scrutinize the primary bibliometric attributes and to construct a three-field plot to illustrate the relationships among institutions, nations, and keywords.
Front Immunol
January 2025
Department of Medical Laboratory, The Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China.
Background: Multidrug-resistant Klebsiella pneumoniae (MDR-KP) infections pose a significant global healthcare challenge, particularly due to the high mortality risk associated with septic shock. This study aimed to develop and validate a machine learning-based model to predict the risk of MDR-KP-associated septic shock, enabling early risk stratification and targeted interventions.
Methods: A retrospective analysis was conducted on 1,385 patients with MDR-KP infections admitted between January 2019 and June 2024.
Cytotechnology
April 2025
Department of Critical Care Medicine, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), No. 1017, North Dongmen Road, Luohu District, Shenzhen, 518020 Guangdong China.
This study aimed to investigate the role of circular RNAs (circRNAs) in sepsis-induced acute gastrointestinal injury (AGI), focusing on their potential as biomarkers and their involvement in disease progression. Peripheral blood samples from 14 patients with sepsis-induced AGI and healthy volunteers were collected. RNA sequencing was performed to profile circRNA and miRNA expression.
View Article and Find Full Text PDFPak J Med Sci
January 2025
Sadia Nazir, FCPS Assistant Professor, Obstetrics and Gynaecology Department, DG Khan Medical College, DG Khan, Pakistan.
Objective: To determine the risk factors and outcomes of maternal sepsis.
Methods: This case-control study was performed at the departments of Obstetrics & Gynecology, Nishtar Hospital, Multan, and Ghazi Khan Hospital, Dera Ghazi Khan, Pakistan, from June 2023 to May 2024. Cases were comprised of females aged 18-45 years diagnosed with maternal sepsis, and admitted during the study period.
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