Mr Ehsan Goroei Sardu, Miss Fatemeh Rezabeigi Davarani, Miss Bahareh Kermani, Mr Reza Faryabi, Miss Shiva Kargar, Mr Shamim Tashakori, Mr Salman Daneshi,
Volume 7, Issue 3 (11-2023)
Abstract
Background: Identifying effective factors in death caused by the infection of COVID-19 is one of the most worrisome issues in the globe. This study aims to investigate the frequency of risk factors leading to death in patients with COVID-19.
Methods: This was a retrospective descriptive study done on 150 confirmed cases of COVID-19 in Imam Khomeini Hospital in Jiroft in 2019. Patients were included in the study by census method. The required information was extracted and recorded in the researcher's checklist; which included demographic and social characteristics of patients (age, gender, smoking, and opium consumption), underlying disease,test results (leukopenia, leukocytosis, neutropenia, decrease in albumin, increase in creatinine, ALT, AST, LDH and CRP), and the RT-PCR test.,. The researchers analyzed data using independent sample t-test, and chi-square by SPSS-V22.
Results: The mean age of the patients was 72.19 ± 15.97. Most of those who died with COVID-19 were men. There was a statistically significant relationship between the use of drugs and the death of patients with COVID-19(P-value<0.05). The average body mass index (BMI) of the confirmed patients was 31.14 ± 7.08 kg/m2 in the overweight group (P-value<0.001). Moreover, there was a significant relationship between the risk factors CRP, ALB, AST, ALT, Cr, lym, Neut, WBC and inevitable death in patients with COVID-19(P-Value<0.001). Regarding underlying diseases, diabetes, lung, and kidney diseases have been observed in most terminal patients (P-value<0.001).
Conclusion: Old age, male gender, high BMI, blood pressure, increased factors of CRP, AST, ALT, Cr, lym, Neut, WBC, and decreased ALB are among the risk factors leading to death in COVID-19 patients.
Dr Najme Rahimi, Dr Abdolghafour Yazdani, Dr Habib Jalilian, Dr Ramin Shahraini, Dr Asghar Kazemzade, Sadegh Kargari,
Volume 8, Issue 1 (3-2024)
Abstract
Background: The average duration of recovery time in COVID-19 patients after contracting can be affected by various factors. Understanding the average duration of recovery time is important in formulating preventive measures/interventions. This study aims to assess predictors of post-COVID-19 recovery.
Methods: This observational longitudinal study was conducted among COVID-19 patients admitted to Vasei Hospital in Sabzevar, Iran in 2021. Data were extracted from the Hospital Information System. COVID-19 Experiences (COVEX) questionnaire was used to assess the type and severity of symptoms. Patients who were admitted to the hospital were assessed at baseline and were followed up one month and two months after discharge through telephone calls. Chi-square test was used to examine the association between demographic variables, clinical variables, disease symptoms, and time to recovery.
Results: A total of 250 COVID-19 cases were followed up for 30 and 60 days after discharge. The mean duration of recovery from COVID-19 was significantly higher in women, old patients, those with higher BMI, cases without physical activity, those with severe chest CT scan results, patients with severe diseases, and those who were discharged after 30 days (P-Value< 0.05). Patients with dry cough and chest pain were less likely to make a full recovery after 30 days. The cases with dry cough, headache, dyspnea, and chest pain were less likely to make a full recovery after 60 days than those without (P-Value< 0.05).
Conclusion: Health providers in healthcare centers should give priority to high-risk groups (e.g. those with severe chest radiography results, and those with severe disease severity). The presence of dry cough and chest pain was found to be a risk factor for delayed recovery. Initial assessment of COVID-19 patients, such as chest CT scans, can predict the severity of the disease and unfavorable outcomes. Moreover, it seems the management of comorbidities can play a vital role in recovery from COVID-19.
