| Autor: |
Tanase AD; Department of Professional Legislation in Dental Medicine, Faculty of Dental Medicine, 'Victor Babes' University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.; Doctoral School, 'Victor Babes' University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania., Fnu O; Faculty of Medicine, University of Indonesia, Jakarta 10430, Indonesia., Cristescu DM; Doctoral School, 'Victor Babes' University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.; Research Centre of Timisoara Institute of Cardiovascular Diseases, 'Victor Babes' University of Medicine and Pharmacy, 300041 Timisoara, Romania., Barata PI; Center for Research and Innovation in Precision Medicine of Respiratory Diseases, 'Victor Babes' University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.; Department of Physiology, Faculty of Medicine, 'Vasile Goldis' Western University of Arad, 310025 Arad, Romania., David D; Discipline of Biochemistry, 'Victor Babes' University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania., Petrescu EL; Department of Prostheses Technology and Dental Materials, Faculty of Dental Medicine, 'Victor Babes' University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.; Research Centre in Dental Medicine Using Conventional and Alternative Technologies, Faculty of Dental Medicine, 'Victor Babes' University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania., Bojoga DE; Department of Oral Rehabilitation and Emergencies in Dental Medicine, Faculty of Dental Medicine, 'Victor Babes' University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.; Interdisciplinary Research Canter for Dental Medical Research, Lasers and Innovative Technologies Faculty of Dental Medicine, 'Victor Babes' University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania., Hoinoiu T; Department of Clinical Practical Skills, 'Victor Babes' University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania., Blidisel A; Clinic of Surgical Semiotics and Thoracic Surgery-1, Department IX-Surgery-1, 'Victor Babes' University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.; Center for Hepato-Biliary-Pancreatic Surgery (CHBP), 'Victor Babes' University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania. |
| Abstrakt: |
The COVID-19 pandemic underscores the need for accurate prognostic tools to predict patient outcomes. This study evaluates the effectiveness of four prominent COVID-19 prediction scores-PAINT, ISARIC4C, CHIS, and COVID-GRAM-at two critical time points: at admission and seven days post-symptom onset, to assess their utility in predicting mortality among hospitalized patients. Conducted at the Clinical Emergency Hospital Pius Brînzeu in Timișoara, this retrospective analysis included adult patients hospitalized with confirmed SARS-CoV-2 infection. Eligible patients had complete data for the scores at both time points. Statistical analysis involved ROC curves and logistic regression to assess the scores' predictive accuracy for mortality. The study included 215 patients, split into 139 survivors and 76 non-survivors. At admission, the PAINT, ISARIC4C, CHIS, and COVID-GRAM scores significantly differentiated between the survival outcomes ( p < 0.0001). The best cutoff values at admission were 6.26 for PAINT, 7.95 for ISARIC4C, 5.58 for CHIS, and 0.63 for COVID-GRAM, corresponding to sensitivities of 85.47%, 80.56%, 88.89%, and 83.33% and specificities of 77.34%, 82.12%, 75.01%, and 78.45%, respectively. By day seven, the cutoff values increased, indicating deteriorating conditions in patients who eventually succumbed to the virus. The hazard ratios at admission for exceeding these cutoffs were significant: PAINT (HR = 3.45), ISARIC4C (HR = 2.89), CHIS (HR = 4.02), and COVID-GRAM (HR = 3.15), highlighting the scores' abilities to predict severe outcomes. One week post symptom onset, these scores' predictive values and corresponding hazard ratios increased, further validating their prognostic significance over time. The evaluated COVID-19 prediction scores robustly predict mortality at admission and become more predictive by the seventh day of symptom onset. These findings support the use of these scores in clinical settings to facilitate early identification and intervention for high-risk patients, potentially improving patient outcomes during the ongoing global health crisis. |
