ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2021
External Validation and Recalibration of the CURB-65 and PSI for Predicting 30-Day Mortality and Critical Care Intervention in Multiethnic Patients with COVID-19.
Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Predictive Value of the CURB-65, MuLBSTA, Pneumonia Severity Index Scores and Laboratory Parameters for In-Hospital Mortality in Patients with Diabetes Mellitus and COVID-19 Infection.Journal of clinical medicine · 2026Article
- Predictability of Severity Scores in Patients over 70 Years Old with COVID-19 Infection: Results from a Single-Center Retrospective Observational Study.Journal of clinical medicine · 2026Article
- Severity Scores in SARS-CoV-2 Infection-A Comprehensive Bibliometric Review and Visualization Analysis.Epidemiologia (Basel, Switzerland) · 2026Review
- Lactate dehydrogenase-to-albumin ratio predicts 30-day and 90-day mortality in glucocorticoid-treated ICU patients with pneumonia: a secondary analysis of a multicenter cohort.Frontiers in medicine · 2026Article
- The influence of pneumococcal positivity on clinical outcomes among patients hospitalized with COVID-19: A retrospective cohort study.PloS one · 2025Article
- Boosting the accuracy of existing models by updating and extending: using a multicenter COVID-19 ICU cohort as a proxy.Scientific reports · 2024Article
- Updating cut-off values of severity scoring systems for community-acquired pneumonia to orchestrate more predictive accuracy.Annals of medicine · 2023Article
- Review
- Comparison of prognostic scores for inpatients with COVID-19: a retrospective monocentric cohort study.BMJ open respiratory research · 2022Article
- External validation of risk scores to predict in-hospital mortality in patients hospitalized due to coronavirus disease 2019.European journal of internal medicine · 2022Article
- A Simple Prognostic Score for Critical COVID-19 Derived from Patients without Comorbidities Performs Well in Unselected Patients.Journal of clinical medicine · 2022Article
- Exploratory COVID-19 death risk score based on basic laboratory tests and physiological clinical measurements.World journal of emergency medicine · 2022Article
- A practical scoring model to predict the occurrence of critical illness in hospitalized patients with SARS-CoV-2 omicron infection.Frontiers in microbiology · 2022Article
- Comparison Between Physiological Scores SIPF, CURB-65, and APACHE II as Predictors of Prognosis and Mortality in Hospitalized Patients with COVID-19 Pneumonia: A Multicenter Study, Saudi Arabia.Infection and drug resistance · 2022Article
- Differences in inflammatory markers between coronavirus disease 2019 and sepsis in hospitalised patients.Clinical epidemiology and global healthArticle
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo validate and recalibrate the CURB-65 and pneumonia severity index (PSI) in predicting 30-day mortality and critical care intervention (CCI) in a multiethnic population with COVID-19, along with evaluating both models in predicting CCI.
methodsRetrospective data was collected for 1181 patients admitted to the largest hospital in Qatar with COVID-19 pneumonia. The area under the curve (AUC), calibration curves, and other metrics were bootstrapped to examine the performance of the models. Variables constituting the CURB-65 and PSI scores underwent further analysis using the Least Absolute Shrinkage and Selection Operator (LASSO) along with logistic regression to develop a model predicting CCI. Complex machine learning models were built for comparative analysis.
resultsThe PSI performed better than CURB-65 in predicting 30-day mortality (AUC 0.83, 0.78 respectively), while CURB-65 outperformed PSI in predicting CCI (AUC 0.78, 0.70 respectively). The modified PSI/CURB-65 model (respiratory rate, oxygen saturation, hematocrit, age, sodium, and glucose) predicting CCI had excellent accuracy (AUC 0.823) and good calibration.
conclusionsOur study recalibrated, externally validated the PSI and CURB-65 for predicting 30-day mortality and CCI, and developed a model for predicting CCI. Our tool can potentially guide clinicians in Qatar to stratify patients with COVID-19 pneumonia.
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