ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2021
Derivation and Validation of a Novel Severity Scoring System for Pneumonia at Intensive Care Unit Admission.
Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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22 citing papers in PubMed.
- Performance and Validation of a New Long-Term Mortality Risk Score in Community-Acquired Pneumonia: A Colombian Cohort.Infectious disease reports · 2026Article
- A rapid surveillance of pneumonia in hospitalized patients: an opportunity for intervention.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2026Article
- Time-Series modeling for predicting mortality risk in intensive care unit patients with pulmonary inflammation.Frontiers in medicine · 2026Article
- Development and multi-database validation of interpretable machine learning models for predicting In-Hospital mortality in pneumonia patients: A comprehensive analysis across four healthcare systems.Respiratory research · 2025Article
- Comparison of Intensive Care Scoring Systems in Predicting Overall Mortality of Sepsis.Diagnostics (Basel, Switzerland) · 2025Article
- Comparing large scale and selected feature learning for community acquired pneumonia prognosis prediction using clinical data: a stacked ensemble approach.Scientific reports · 2025Article
- Machine learning-based model for predicting all-cause mortality in severe pneumonia.BMJ open respiratory research · 2025Article
- Development and validation of mortality risk prediction model for sepsis secondary to pneumonia at intensive care unit admission: a retrospective case-cohort study.Frontiers in medicine · 2025Article
- Comparative Effectiveness of CURB-65 and qSOFA Scores in Predicting Pneumonia Outcomes: A Systematic Review.Cureus · 2024Review
- Comparison of performances between risk scores for predicting mortality at 30 days in patients with community acquired pneumonia.BMC infectious diseases · 2024Article
- Cluster analysis of thoracic muscle mass using artificial intelligence in severe pneumonia.Scientific reports · 2024Article
- Development of a Prognostic Scoring System for Tracheostomized Patients Requiring Prolonged Ventilator Care: A Ten-Year Experience in a University-Affiliated Tertiary Hospital.Medicina (Kaunas, Lithuania) · 2024Article
- Interpretability-based machine learning for predicting the risk of death from pulmonary inflammation in Chinese intensive care unit patients.Frontiers in medicine · 2024Article
- The prognostic value of rapid risk scores among patients with community-acquired pneumonia : A retrospective cohort study.Wiener klinische Wochenschrift · 2023Article
- Establishment of risk model for elderly CAP at different age stages: a single-center retrospective observational study.Scientific reports · 2023Observational
- Machine learning-based prediction of in-ICU mortality in pneumonia patients.Scientific reports · 2023Article
- Top-ten papers in pneumonia (2020-2021).Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2022Review
- Exploration of prognostic factors for prediction of mortality in elderly CAP population using a nomogram model.Frontiers in medicine · 2022Article
- Calibration and validation of the Pneumonia Shock Score in critically ill patients with SARS-CoV-2 infection, a multicenter prospective cohort study.Frontiers in medicine · 2022Article
- Scores to Predict Long-term Mortality in Patients With Severe Pneumonia Still Lacking.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Article
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12 authors.
Funding
Abstract
backgroundSeverity stratification scores developed in intensive care units (ICUs) are used in interventional studies to identify the most critically ill. Studies that evaluate accuracy of these scores in ICU patients admitted with pneumonia are lacking. This study aims to determine performance of severity scores as predictors of mortality in critically ill patients admitted with pneumonia.
methodsProspective cohort study in a general ICU in Brazil. ICU severity scores (Simplified Acute Physiology Score 3 [SAPS 3] and Sepsis-Related Organ Failure Assessment [qSOFA]), prognostic scores of pneumonia (CURB-65 [confusion, urea, respiratory rate, blood pressure, age] and CRB-65 [confusion, respiratory rate, blood pressure, age]), and clinical and epidemiological variables in the first 6 hours of hospitalization were analyzed.
resultsTwo hundred patients were included between 2015 and 2018, with a median age of 81 years (interquartile range, 67-90 years) and female predominance (52%), primarily admitted from the emergency department (65%) with community-acquired pneumonia (CAP, 80.5%). SAPS 3, CURB-65, CRB-65,and qSOFA all exhibited poor performance in predicting mortality. Multivariate regression identified variables independently associated with mortality that were used to develop a novel pneumonia-specific ICU severity score (Pneumonia Shock score) that outperformed SAPS 3, CURB-65, and CRB-65. The Shock score was validated in an external multicenter cohort of critically ill patients admitted with CAP.
conclusionsWe created a parsimonious score that accurately identifies patients with pneumonia at highest risk of ICU death. These findings are critical to accurately stratify patients with severe pneumonia in therapeutic trials that aim to reduce mortality.
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