Author: Farzan, Nina; Vahabi, Sepideh; Farzan, Behrooz; Hashemi Madani, Shima Sadat
Title: Evaluation of Invasive Ventilation Rate and Comorbidities, Clinical Signs and Lab Findings among COVID 19 Patients Cord-id: r9k8hpt2 Document date: 2021_7_24
ID: r9k8hpt2
Snippet: The severity of COVID-19 has been to be associated with the comorbidities. It is defined as the presentation of severe respiratory dysfunction or failure, leading to the need of ventilation and mortality. The aim of this study is the evaluate the factors predicting the rate of invasive ventilation among these patients. This retrospective study involved 317 COVID-19 patients referred to (XXX) Hospital in Qom, Iran. The following data was obtained for all the patients: demographic parameters, como
Document: The severity of COVID-19 has been to be associated with the comorbidities. It is defined as the presentation of severe respiratory dysfunction or failure, leading to the need of ventilation and mortality. The aim of this study is the evaluate the factors predicting the rate of invasive ventilation among these patients. This retrospective study involved 317 COVID-19 patients referred to (XXX) Hospital in Qom, Iran. The following data was obtained for all the patients: demographic parameters, comorbidities, need of mechanical ventilation, signs and symptoms and lab findings. The results from the demographic data of the study indicated that the need of mechanical ventilation is significantly associated with advanced age, p=0.001. Additionally, hypertension, leukopenia and blood urea nitrogen to creatinine ratio p=0.008. p=0.042 and p<0.001, respectively are significantly associated with increased need of mechanical ventilation. Malignancy, diabetes, asthma, chronic obstructive pulmonary disease, headache, fever, platelet count, prothrombin time, c-reactive protein, erythrocyte sedimentation rate and creatinine phosphatase were not significantly different in the two groups, p>0.05. Prediction of the extent of severity among COVID-19 patients using clinical parameters and comorbidities prepare medical practitioners and health care centers to take immediate measurements and reduce the burden of scarcity of health supplies and care.
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