Objective: The objectives of this study are to investigate the performance of the quick Sepsis-related Organ Failure Assessment (qSOFA) in predicting mortality and intensive care unit (ICU) admission in patients with clinically diagnosed infection and to compare its performance with that of Mortality in Emergency Department Sepsis (MEDS), Acute Physiology and Chronic Health Evaluation (APACHE) II, and Sepsis-related Organ Failure Assessment (SOFA).
Methods: From July to December 2015, we retrospectively analyzed 477 patients clinically diagnosed with infection in the emergency department. We compared the performance of SOFA, MEDS, APACHE II, and qSOFA in predicting ICU admission and 28-day mortality.
Results: All scores were higher in nonsurvivors and ICU patients than in survivors and non-ICU patients (P< .001). The area under the receiver operating characteristic curve of qSOFA was lower than that of MEDS (0.666 vs 0.751; P< .05) and similar to that of SOFA (0.729) and APACHE II (0.732) in predicting 28-day mortality. The areas under the receiver operating characteristic curve of qSOFA, SOFA, MEDS, and APACHE II in predicting ICU admission were 0.636, 0.682, 0.661, and 0.640, respectively. There were no significant differences among the score systems. In patients with qSOFA scores less than 2 and greater than or equal to 2, 28-day mortality rates were 17.4% and 42.9% (P< .001), and ICU admission rates were 16.0% and 33.3% (P< .001).
Conclusions: Quick SOFA predicted ICU admission with similar performance to that of SOFA, MEDS, and APACHE II. Its prognostic ability was similar to that of SOFA and APACHE II but slightly inferior to that of MEDS.
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http://dx.doi.org/10.1016/j.ajem.2016.06.015 | DOI Listing |
Front Med (Lausanne)
January 2025
College of Medicine, Chungbuk National University, Cheongju, Republic of Korea.
Introduction: Sepsis, a life-threatening condition with a high mortality rate, requires intensive care unit (ICU) admission. The increasing hospitalization rate for patients with sepsis has escalated medical costs due to the strain on ICU resources. Efficient management of ICU resources is critical to addressing this challenge.
View Article and Find Full Text PDFSurg Pract Sci
June 2024
Division of Acute Care Surgery, Department of Surgery, Kirk Kerkorian School of Medicine at UNLV, 1701W. Charleston Blvd, Suite 490, Las Vegas, NV 89102, United States.
Background: Pulmonary contusions (PC) are common after blunt chest trauma and can be identified with computed tomography (CT). Complex scoring systems for grading PC exist, however recent scoring systems rely on computer-generated algorithms that are not readily available at all hospitals. We developed a scoring system for grading PC to predict the need for prolonged mechanical ventilation and initial hospital admission location.
View Article and Find Full Text PDFOptimal dosing of VTE prophylaxis for specific patient populations remains an area of concern as insufficient evidence exists regarding dosing for underweight patients. The purpose of this study is to compare the incidence of major bleeding events in underweight patients given different prophylactic doses of enoxaparin. This is a retrospective analysis performed at multiple hospitals within a single health care system.
View Article and Find Full Text PDFFront Oncol
January 2025
Department of Nuclear Medicine, Mount Sinai Hospital at Icahn School of Medicine, New York, NY, United States.
Peptide receptor radionuclide therapy (PRRT) is used for the management of neuroendocrine tumors (NETs) not responsive to somatostatin analogs. In this case series, we report two patients with pancreatic vasoactive intestinal peptide (VIP)-secreting NETs (VIPomas) not responsive to any other therapies who achieved symptomatic control and a significant decrease in serum VIP levels with PRRT during their hospital stay. Two patients with VIPomas were admitted to the hospital with multiple prior hospital admissions after going through multiple lines of therapy.
View Article and Find Full Text PDFFront Cell Infect Microbiol
January 2025
Department of Clinical Pharmacy, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Background: Sepsis is a major cause of mortality in intensive care units (ICUs) and continues to pose a significant global health challenge, with sepsis-related deaths contributing substantially to the overall burden on healthcare systems worldwide. The primary objective was to construct and evaluate a machine learning (ML) model for forecasting 28-day all-cause mortality among ICU sepsis patients.
Methods: Data for the study was sourced from the eICU Collaborative Research Database (eICU-CRD) (version 2.
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