RESUMEN
BACKGROUND AND METHODOLOGY: We aimed to investigate the clinical characteristics, outcomes, and mortality predictors in patients with acute pulmonary embolism (PE). Adult patients who were admitted to the Armed Forces Hospital Southern Region, Khamis Mushait, a large tertiary hospital in Southern Saudi Arabia, with the diagnosis of acute PE were retrospectively examined for the predictors of one-year mortality. RESULTS: The overall in-hospital mortality was 15.6% among 212 patients. In univariate analysis, only age was significantly associated with increased early mortality, whereas age, obesity, presence of active malignancy, hypertension, use of thrombolytics, and Simplified Pulmonary Embolism Severity Index (sPESI) were significantly associated with increased late mortality. By use of binary logistic regression, the presence of obesity (HR 6.010, 95%CI 0.048-16.853, p=0.030), active malignancy (HR 3.040, 95%CI 1.147-8.059, p=0.025), and the use of thrombolytics (HR 8.074, 95%CI 2.719-23.977, p<0.001), were independently significant factors for late (overall) mortality, respectively. CONCLUSIONS: Among Saudi Arabian patients in the Southern Region, our data show that age is an independent factor for increased early and late mortality. The presence of obesity, active malignancy, and the use of thrombolytics, were independently significant factors for increased late (one-year) mortality. These factors should be taken into account for risk stratification and decisions on tailored management of patients with PE. Further prospective multicenter studies are needed.
RESUMEN
Background: The International Severe Acute Respiratory and Emerging Infections Consortium (ISARIC) 4C mortality score has been used before as a valuable tool for predicting mortality in COVID-19 patients. We aimed to address the utility of the 4C score in a well-defined Saudi population with COVID-19 admitted to a large tertiary referral hospital in Saudi Arabia. Methods: A retrospective study was conducted that included all adults COVID19 patients admitted to the Armed Forces Hospital Southern Region (AFHSR), between January 2021 and September 2022. The receiver operating characteristic (ROC) curve depicted the diagnostic performance of the 4C Score for mortality prediction. Results: A total of 1,853 patients were enrolled. The ROC curve of the 4C score had an area under the curve of 0.73 (95% CI: 0.702-0.758), p<0.001. The sensitivity and specificity with scores >8 were 80% and 58%, respectively, the positive and negative predictive values were 28% and 93%, respectively. Three hundred and sixteen (17.1%), 638 (34.4%), 814 (43.9%), and 85 (4.6%) patients had low, intermediate, high, and very high values, respectively. There were significant differences between survivors and non-survivors with regard to all variables used in the calculation of the 4C score. Multivariable logistic regression analysis revealed that all components of the 4C score, except gender and O2 saturation, were independent significant predictors of mortality. Conclusions: Our data support previous international and Saudi studies that the 4C mortality score is a reliable tool with good sensitivity and specificity in the mortality prediction of COVID-19 patients. All components of the 4C score, except gender and O2 saturation, were independent significant predictors of mortality. Within the 4C score, odds ratios increased proportionately with an increase in the score value. Future multi-center prospective studies are warranted.