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Background: The COVID-19 pandemic continues with new waves that could persist with the arrival of new SARS-CoV-2 variants. Therefore, the availability of validated and effective triage tools is the cornerstone for proper clinical management. Thus, this study aimed to assess the validity of the ISARIC-4C score as a triage tool for hospitalized COVID-19 patients in Saudi Arabia and to compare its performance with the CURB-65 score. Material and methods: This retrospective observational cohort study was conducted between March 2020 and May 2021 at KFHU, Saudi Arabia, using 542 confirmed COVID-19 patient data on the variables relevant to the application of the ISARIC-4C mortality score and the CURB-65 score. Chi-square and t-tests were employed to study the significance of the CURB-65 score and the ISARIC-4C score variables considering the ICU requirements and the mortality of COVID-19 hospitalized patients. In addition, logistic regression was used to predict the variables related to COVID-19 mortality. In addition, the diagnostic accuracy of both scores was validated by calculating sensitivities, specificities, positive predictive value, negative predictive value, and Youden's J indices (YJI). Results: ROC analysis showed an AUC value of 0.834 [95% CI; 0.800-0.865]) for the CURB-65 score and 0.809 [95% CI; 0.773-0.841]) for the ISARIC-4C score. The sensitivity for CURB-65 and ISARIC-4C is 75% and 85.71%, respectively, while the specificity was 82.31% and 62.66%, respectively. The difference between AUCs was 0.025 (95% [CI; -0.0203-0.0704], p = 0.2795). Conclusion: Study results support external validation of the ISARIC-4C score in predicting the mortality risk of hospitalized COVID-19 patients in Saudi Arabia. In addition, the CURB-65 and ISARIC-4C scores showed comparable performance with good consistent discrimination and are suitable for clinical utility as triage tools for hospitalized COVID-19 patients.
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PURPOSE: This study investigated the clinical determinants of mortality in hospitalized patients infected with COVID-19. PATIENTS AND METHODS: A retrospective multicenter large cohort of COVID-19 patients hospitalized between March 2020 and February 2021. We included patients admitted with a confirmed COVID-19 infection with positive COVID-19 through real-time polymerase chain reaction (RT-PCR). SPSS version 25.0 (Armonk, NY: IBM Corp.) was used to analyze the data. RESULTS: Among the study participants (n = 1444), the mean age of the population was 49.22±17.69 years, of which 63.9% were males (n = 924). Overall, the mean age for non-survivors was 55.65 ±16.41 years and the length of ICU stay was 13.95 ±12.4 years. The most common comorbidity among the study subjects was hypertension (HTN) (32.7%), followed by cardiovascular disease (CVD) (10.7%). Patients who were mechanically ventilated (MV) had higher mortality than those who did not require MV (p < 0.001). CONCLUSION: Our study concluded that old age, the presence of underlying cardiovascular conditions, an abnormal WBC count (leukopenia or leukocytosis), and abnormal blood urea nitrogen (BUN) levels are among the independent predictors of mortality in the Saudi population. These findings may guide health care providers to manage COVID-19 patients more effectively with better outcomes.
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A 69-year-old man renal transplant recipient for 4 years, presented with 4-day history of cough and dyspnoea. He was diagnosed with community-acquired pneumonia and treated accordingly. He deteriorated requiring intensive care unit admission and intubation. Mycobacterial culture from bronchoalveolar lavage grew colonies within 7 days of incubation while Mycobacterium tuberculosis PCR was negative. The antibiotic regimen was adjusted to cover for rapidly growing mycobacteria with imipenem, amikacin and clarithromycin. The final culture reported Mycobacterium cosmeticum He improved on the antibiotic regimen given which the organism turned to be sensitive to. We reported the second case with M. cosmeticum that fulfilled the diagnostic criteria for non-tuberculous mycobacterial lung infection. Improvement of patient's lung infection on appropriate antibiotics points to a causal relationship.