Demographic Characteristics, Clinical Symptoms, and Radiological Features in Patients With COVID-19 in Iran

Abstract

Background: Considering the new Coronavirus outbreak and limited data about this pandemic in Iran, this study aimed at assessing the demographic characteristics, clinical symptoms, paraclinical findings, and radiological features of hospitalized patients with COVID-19 according to their hospital records. Methods: In this descriptive-cross-sectional study, the required data were collected from the Health Information System (HIS) and the records of the patients who had been hospitalized following positive COVID-19 Polymerase Chain Reaction (PCR) and lung Computed Tomography (CT) scans, in some hospitals of Markazi Province, Iran from February 20, 2020, to April 20, 2020. The selected hospitals were affiliated with the Iranian Social Security Organization. Clinical follow-up was continued until April 26, 2020. During this period, 260 records were assessed. The collected data included demographic characteristics, clinical symptoms, as well as the paraclinical findings and radiological features of the patients. The obtained data were analyzed by SPSS. Results: Among 260 confirmed cases of COVID-19, 161 (61.9%) cases were men and 99 (38.1%) were women. The Mean±SD age of the explored patients was 58.78±16.44 years. Besides, 221 (85%) patients were hospitalized in the general ward and 39 (15%) cases in the Intensive Care Unit (ICU). Hypertension and diabetes were the most prevalent medical histories (comorbidities). Fever, fatigue, cough, anorexia, myalgia, dyspnea, oliguria, taste impairment, and smell deficiency were the most frequent clinical symptoms. Neutrophilia, lymphopenia, low blood glucose level, and increased BUN, ALP, CRP, and ESR were among the critical laboratory findings. Almost 30% of the studied patients presented acidosis in arterial blood gases analysis and 55% had normal blood gasses. Decreased PaO2 was observed in 80% of the investigated patients. Most of the patients had received oxygen therapy, lopinavir, and hydroxychloroquine. Additionally, 11.2% of the patients were under invasive mechanical ventilators. Concerning the lung CT scan, 42.7% of the patients had ≥5 involved lobes. In terms of density, 51.9% of the subjects had mixed opacity. Most lung damages (41.5%) were in the central part of the lungs. In 55.8% of cases, these damages were patchy lesions, and 40% had an air-bronchogram. According to the Chi-squared test data, there was a significant relationship between the location of the lesions and the patient’s need for suction (P<0.001). Besides, patients with central lung lesions required the highest percentage of suction (26%). In this study, 15% of the explored patients were hospitalized in the ICU, 84% were discharged by April 26, and 8.07% died. Conclusion: The current research results provide the health team with beneficial information about the assessment and care of patients with COVID-19 and the prediction of treatment outcomes.

Demographic characteristics, clinical presentation and in-hospital outcome among patients with Covid-19 in a Nigerian tertiary hospital

“…The contribution of behavioural factors commoner in males such as cigarette smoking has been speculated 27 . The predominance of urban residence among our patients is in tandem with other studies in the tropics 32 , 33 . Moreover, the proximity of our teaching hospital to Enugu town and the barriers experienced by rural dwellers in accessing testing, care, and treatment in tertiary facilities could have contributed to the dominance of urban dwellers in our study population.…”

“…Varied reports of thrombocytopenia ranging from 14.3% to 36.2% 11 , 22 , 27 , 35 , 39 were seen among individuals with COVID-19 and this closely relates to 11.4% found among our participants but higher than 2.7% seen in participants in Chile, South America 26 . Anaemia has been documented in 5.7% to 39.47% of participants with COVID-19 11 , 15 , 22 , 32 . The differences in haematological profile may be accounted for by the clinical phase of the infection, disease severity, co-morbidities, and methodological issues such as sample size and the definition of anaemia.…”