Background: Corona Virus Disease 2019 (COVID-19) pandemic caused millions of pneumonia related death since December 2019. Cardiac troponin-I elevation is associated with adverse outcomes in cardiovascular and non-cardiovascular disease. There is a lack of data regarding the role of troponin-I on the assessment and COVID-19 stage classification and stratification. Objective: The study was aimed to estimate prevalence of troponin-I among hospitalized patients with COVID-19. Methods: This cross sectional descriptive type of observational study was carried out at COVID-19 isolation unit of Sylhet Women’s Medical College Hospital during the period of six months from April 2021 to September 2021. Data were collected from purposively selected 204 patients with COVID-19 from patient files and EMR. Data were analyzed by using SPSS version 21.0. Results: The study results revealed that mean age of the patients with COVID-19 was 57.97 years with a standard deviation of 15.78 years. Majority of them (121, 59.3%) were female and the remaining (83, 40.7%) were male. Proportion of comorbidities were estimated and found that each 115 (56.4%) patients were hypertensive and diabetic. Thirty five (16.2%) had ischemic heart disease; 3 (1.5%) had congestive cardiac failure and 2 (1.0%) had asthma. Only 1 (0.5%) patent has atrial fibrillation. Minimum level of troponin-I was 0.01 ng/ml and the maximum level was 21.70 ng/ml with a range of 21.69 ng/ml. Mean troponin-I of patients with COVID-19 was 0.38±1.78 ng/ml. Estimated prevalence of elevated troponin-I was 39.1%. Level of troponin-I in patients of different age group was compared and Chi-square test showed no significant difference (p>0.05). Elevation of troponin-I in both sex was compared and again Chi-square test showed no significant difference (p>0.05). Elevation of troponin-I was significantly higher on those who were detected by RT-PCR than those who were detected by rapid antigen test (p=0.048).Conclusion: Though the pattern of elevation of troponin-I was found similar in younger and older patients and in males and females, a significant number of patients with COVID-19 (65/204, 39.1%) had elevated troponin-I which should be addressed to evaluate and manage patients with COVID-19 more efficiently.
Corona Virus Disease 2019 (COVID-19) was declared a pandemic in March 2020. This global health crisis caused thousands of pneumonia related death all over the world since December 2019. RT-PCR is the primary test for diagnosis of COVID-19, though its sensitivity and specificity is variable. Several studies revealed that chest HRCT complements RT-PCR in highly suspected cases or in false negative RT-PCR and helps to gauge disease severity. This study was carried out with an aim to find out the severity scores of chest HRCT in hospitalized patients with COVID-19. This cross sectional descriptive type of observational study was carried out at COVID-19 unit of Sylhet Women's Medical College Hospital, Bangladesh from April 2021 to September 2021. Data were collected from purposively selected 204 patients with COVID-19 by face to face interview, chest HRCT and necessary laboratory investigations. Informed written consent was taken from the participants of the study at the beginning of the interview. Data were analyzed by using SPSS version 21.0. The results of the study showed that mean age of the patients with COVID-19 was 57.9 years with a standard deviation of ±15.8 years. Majority of them (121, 59.3%) were female and the remaining (83, 40.7%) were male. Regarding co-morbidities it was found that each 115 (56.4%) patients were hypertensive and diabetic. Thirty five (16.2%) had ischemic heart disease; 3(1.5%) had congestive cardiac failure and 2(1.0%) had asthma. One (0.5%) patient has atrial fibrillation. In case of 160(78.4%) RT-PCR confirmed patients with COVID-19, chest HRCT was found positive and in 44(21.6%) it was found negative. Among the positive cases mild (7 or less) chest HRCT score was found in 26(12.7%) patients; moderate (8-17) score was found in highest number of patients (128, 62.7%) and severe (18 or more) chest HRCT score was found in 6(2.9%) patients with COVID-19. Chi-square test was carried out to assess the relation of chest HRCT scores with age group, sex, troponin-I, D-Dimer and clinical outcomes within CCU but statistically significant relation was not found (p>0.05). The negative scans were highest (20, 9.8%) in the age group of 41-60 years. Mild, moderate and severe chest HRCT scores was found highest in the age group of 61-80 years (13, 6.4%; 51, 25.0% and 5, 2.5% respectively) (p=0.508). Chest HRCT scans were negative in 18(8.8%) male and 26(12.7%) female. Mild scores were equally distributed between each sex i.e. male 13(6.4%) and female 13(6.4%). Both moderate and severe scores were found more in female (77, 37.7% and 5, 2.5% respectively) than male (51, 25.0% and 1, 0.5% respectively) (p=0.492). Negative chest HRCT scans, mild, moderate and severe scores-all were found more in patients with elevated D-Dimer (p=0.194). Among 204 patients one (0.5%) died in the CCU who had mild score of chest HRCT (p=0.076) but highly elevated Troponin-I (21.70ng/mL). Chest HRCT was found positive among 78.4% of patients with COVID-19 confirmed by RT-PCR. Chest HRCT can help physicians to detect suspected cases and to assess the severity and outcome of the disease. However, further research is recommended to clarify the role of chest HRCT in assessing severity of COVID-19 and prediction of prognosis.
'%3e%3ccircle r='20' fill='%23008'/%3e%3ccircle r='17.5' fill='%23fff'/%3e%3ccircle r='3.5' fill='%23008'/%3e%3cg id='d'%3e%3cg id='c'%3e%3cg id='b'%3e%3cg id='a' fill='%23008'%3e%3ccircle r='.875' transform='rotate(7.5 -8.75 133.5)'/%3e%3cpath d='M0 17.5.6 7 0 2l-.6 5L0 17.5z'/%3e%3c/g%3e%3cuse xlink:href='%23a' transform='rotate(15)'/%3e%3c/g%3e%3cuse xlink:href='%23b' transform='rotate(30)'/%3e%3c/g%3e%3cuse xlink:href='%23c' transform='rotate(60)'/%3e%3c/g%3e%3cuse xlink:href='%23d' transform='rotate(120)'/%3e%3cuse xlink:href='%23d' transform='rotate(-120)'/%3e%3c/g%3e%3c/svg%3e)
'/%3e%3cpath fill='%23fff' d='m8.751-17.959 10.11 11.373L3.997-9.844l13.94-6.1-7.692 13.129z'/%3e%3c/svg%3e)