Results 61 to 70 of about 4,864 (162)

Triglyceride–Glucose Index as a Predictor of Sepsis in Urinary Tract Infection: Insights From a Machine Learning‐Driven Cohort Study

open access: yesInternational Journal of Clinical Practice, Volume 2026, Issue 1, 2026.
Background Early identification of sepsis in ICU patients with urinary tract infection (UTI) may improve outcomes. The triglyceride–glucose (TyG) index has been implicated in systemic inflammation; however, its role in UTI‐related sepsis is unclear.
Yubiao He   +8 more
wiley   +1 more source

High‐density lipoproteins alleviate the endotoxin burden in patients with peritonitis and sepsis: The LIPS study

open access: yesEuropean Journal of Clinical Investigation, Volume 55, Issue 12, December 2025.
Our data support the role for HDL and PLTP in the elimnation of LPS during human peritonitis with sepsis. Increased H4‐LPS elimination was associated with reduced inflammation and lower mortality. Abstract Background The high‐density lipoprotein (HDL) and the phospholipid transfer protein (PLTP) have been demonstrated to enhance endotoxin elimination ...
Maxime Nguyen   +11 more
wiley   +1 more source

Quick Sequential Organ Failure Assessment to identify clinical deterioration in adults with COVID-19: a retrospective cohort [PDF]

open access: yesRevista Latino-Americana de Enfermagem
Objective: to evaluate the performance of qSOFA in identifying deterioration in patients with COVID-19. Method: retrospective cohort study conducted between February and August 2020 in the Emergency Department of a private hospital, involving 813 ...
Luiz Felipe Sales Mauricio   +4 more
doaj   +1 more source

The role of qSOFA score and biomarkers in assessing severity of community-acquired pneumonia in adults

open access: yesRomanian Journal of Laboratory Medicine, 2021
Introduction: Community-acquired pneumonia (CAP) is the primary cause of severe sepsis. Severity assessment scores have been created, in order to help physicians decide the proper management of CAP.
Tripon Raluca-Elena   +2 more
doaj   +1 more source

qSOFA score for prediction of sepsis outcome in emergency department.

open access: yesPakistan journal of medical sciences, 2020
The third international consensus definition for sepsis and septic shock (sepsis 3) task force recently introduced qSOFA (quick sequential organ failure assessment) as a score for detection of patients at risk of sepsis outside of intensive care units. We performed this study to evaluate the validity of qSOFA for early detection and risk stratification
Shahsavarinia, Kavous   +3 more
openaire   +2 more sources

Managing the Complex Intersection Between Substance Use Disorders and Infectious Diseases

open access: yes
JACCP: JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY, Volume 9, Issue 3, March 2026.
Karissa Chow   +4 more
wiley   +1 more source

Hierarchical clustering of clinical and flow cytometry parameters is associated with deterioration in patients with community‐acquired pneumonia in the emergency department: A preliminary study

open access: yesCytometry Part B: Clinical Cytometry, Volume 108, Issue 6, Page 448-455, November 2025.
ABSTRACT Anticipating the evolution of septic patients with community‐acquired pneumonia (CAP) is challenging for front‐line physicians in the Emergency Department (ED). Prognosis depends mainly on early identification, antibiotics, organ support, but also immune status.
Thomas Lafon   +4 more
wiley   +1 more source

Utilidad de la puntuación qSOFA para predecir mortalidad hospitalaria en pacientes con cáncer

open access: yesGaceta Médica de México
Antecedentes: El quick Sequential Sepsis-related Organ Failure Assessment (qSOFA) es una puntuación propuesta para identificar de forma rápida a pacientes con mayor probabilidad de morir.
Georgina Olvera-Alanis   +4 more
doaj   +1 more source

QSOFA SCORE FOR DIAGNOSTICS OF SEPSIS. RESULTS OF THE RUSSIAN MULTI-CENTER TRIAL OF RISES

open access: yesВестник анестезиологии и реаниматологии, 2018
Subjects and methods. The multi-center, prospective, and observational trial was conducted. The following data were analyzed in the patients admitted to intensive care wards: number of qSOFAscores, the presence of SIRS criteria, levels of lactate ...
M. N. Astafieva   +6 more
doaj   +1 more source

Machine Learning for Prediction of High‐Risk Hospitalizations in Lymphoma Patients: A Danish Population‐Based Study

open access: yesEuropean Journal of Haematology, Volume 115, Issue 5, Page 443-453, November 2025.
ABSTRACT Objective Infections are a leading cause of hospitalization in patients treated for lymphoma and can be life‐threatening. This study developed a machine learning (ML)‐based risk stratification method to classify infection‐related hospitalizations (IRH) into serious‐IRH (S‐IRH) and non‐serious‐IRH (NS‐IRH).
Alexander Djupnes Fuglkjaer   +11 more
wiley   +1 more source

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