ABSTRACT
Background: The present study aimed to assess the prevalence of persistent/late complications after recovery from the acute phase of COVID-19 in emergency medical technicians (EMTs). Methods: This is a cross-sectional case-series study performed during the last quarter of 2020 in Tehran, Iran. All EMTs who had been diagnosed with COVID-19 were eligible. The researcher contacted the EMTs via telephone to determine any complications following their recovery. Those who suffered from any complication were referred to an internal specialist physician for a detailed history and physical examination. Based on the physician’s opinion, some paraclinical or clinical evaluations were requested to be performed. Results: Four hundred thirty-one confirmed cases and two deaths due to this disease were registered among the Tehran EMS center’s EMTs during the study period. Two hundred thirty-eight EMTs were contacted, and 22.7% of them had at least one persistent/late complication following recovery of the acute phase of COVID-19;of whom, 28 EMTs were visited by an internist and completed the tests. The final participants mentioned seventy-five persistent/late complications. Only one EMT had a residual lesion among those who underwent lung CT scans. There were also some pathological findings in the echocardiographic examination and spirometry. Conclusion: Our study showed that persistent/late-onset complications could likely accompany by COVID-19. © 2022 Bentham Science Publishers.
ABSTRACT
Introduction: Like other infectious diseases, it is expected that COVID-19 will mostly end with the development of neutralizing antibody immunity. This study aimed to evaluate the value of COVID-19 antibody rapid test assessment in emergency medical services (EMS) personnel.
ABSTRACT
Introduction: COVID-19 pandemic led to various consequences in medical care that had been long provided for the patients referred to the hospitals. Objective: We conducted this study to derive and validate a new scoring system that can accurately differentiate COVID-19 patients who may have a worse outcome from others at the prehospital stage. Methods: This study was performed on probable/confirmed COVID-19 patients, who were transferred to the hospitals by Tehran emergency medical services (EMS). Occurrence of one of the items including: in-hospital death, intensive care unit (ICU) admission, or hospitalization for more than 20 days was considered to indicate a “severe disease”. Univariate and multivariate logistic regression were used for assessment of the relationship between all independent variables and the outcome. In the validity assessment step, area under the receiver operating characteristic (ROC) curve was calculated for a data set independent from the data based on which the model was designed. The sensitivity and specificity were also presented based on the best suggested cut-off point. Results: In this study, the data of 557 cases were analyzed in the derivation step and 356 cases were assessed in the validation step. The univariate logistic regression showed that age, weakness and fatigue, disease history, systolic blood pressure, SpO2, respiratory rate, and Glasgow coma scale (GCS) were statistically significant in severe disease group. The area under the ROC curve (AUC-ROC) of the tool was 0.808 (95% CI: 0.779, 0.834). The best cut-off point for screening was the score of ≥4, in which the sensitivity and specificity of the tool for the best cut-off point were 71.87% and 78.06%, respectively. In the validation step, the AUC-ROC of the tool was 0.723. Conclusions: Seven criteria of severe COVID-19 (SCSC) tool could properly differentiate probable/confirmed COVID-19 patients with severe outcomes in the pre-hospital stage. © 2021 Tehran University of Medical Sciences.