Litcius/Paper detail

Performance of pneumonia severity index and CURB-65 in predicting 30-day mortality in patients with COVID-19

Celal Satıcı, Mustafa Asım Demirkol, Elif Sargın Altunok, Bengül Gürsoy, Mustafa Alkan, Sadettin Kamat, Berna Demirok, Cemile Dilşah Sürmeli, Mustafa Çalık, Zuhal Çavuş, Sinem Nihal Esatoğlu

2020International Journal of Infectious Diseases197 citationsDOIOpen Access PDF

Abstract

OBJECTIVE: The aim of the study was to analyze the usefulness of CURB-65 and the pneumonia severity index (PSI) in predicting 30-day mortality in patients with COVID-19, and to identify other factors associated with higher mortality. METHODS: A retrospective study was performed in a pandemic hospital in Istanbul, Turkey, which included 681 laboratory-confirmed patients with COVID-19. Data on characteristics, vital signs, and laboratory parameters were recorded from electronic medical records. Receiver operating characteristic analysis was used to quantify the discriminatory abilities of the prognostic scales. Univariate and multivariate logistic regression analyses were performed to identify other predictors of mortality. RESULTS: Higher CRP levels were associated with an increased risk for mortality (OR: 1.015, 95% CI: 1.008-1.021; p < 0.001). The PSI performed significantly better than CURB-65 (AUC: 0.91, 95% CI: 0.88-0.93 vs AUC: 0.88, 95% CI: 0.85-0.90; p = 0.01), and the addition of CRP levels to PSI did not improve the performance of PSI in predicting mortality (AUC: 0.91, 95% CI: 0.88-0.93 vs AUC: 0.92, 95% CI: 0.89-0.94; p = 0.29). CONCLUSION: In a large group of hospitalized patients with COVID-19, we found that PSI performed better than CURB-65 in predicting mortality. Adding CRP levels to PSI did not improve the 30-day mortality prediction.

Topics & Concepts

MedicineCoronavirus disease 2019 (COVID-19)Logistic regressionReceiver operating characteristicPneumoniaInternal medicineUnivariate analysisUnivariateRetrospective cohort studyMultivariate analysisPneumonia severity indexMultivariate statisticsMedical recordCommunity-acquired pneumoniaStatisticsDiseaseInfectious disease (medical specialty)MathematicsSepsis Diagnosis and TreatmentCOVID-19 Clinical Research StudiesPneumonia and Respiratory Infections