Background The coronavirus disease 2019(COVID-19) has affected mortality worldwide. The Cox proportional hazard (CPH) model is becoming more popular in time-to-event data analysis. This study aimed to evaluate the clinical characteristics in COVID-19 inpatients including (survivor and non-survivor); thus helping clinicians give the right treatment and assess prognosis and guide the treatment. Methods This single-center study was conducted at Hospital for COVID-19 patients in Birjand. Inpatients with confirmed COVID-19 were included. Patients were classified as the discharged or survivor group and the death or non-survivor group based on their outcome (improvement or death). Clinical, epidemiological characteristics, as well as laboratory parameters, were extracted from electronic medical records. Independent sample T test and the Chi-square test or Fisher’s exact test were used to evaluate the association of interested variables. The CPH model was used for survival analysis in the COVID-19 death patients. Significant level was set as 0.05 in all analyses. Results The results showed that the mortality rate was about (17.4%). So that, 62(17%) patients had died due to COVID-19, and 298 (83.6%) patients had recovered and discharged. Clinical parameters and comorbidities such as oxygen saturation, lymphocyte and platelet counts, hemoglobin levels, C-reactive protein, and liver and kidney function, were statistically significant between both studied groups. The results of the CPH model showed that comorbidities, hypertension, lymphocyte counts, platelet count, and C-reactive protein level, may increase the risk of death due to the COVID-19 as risk factors in inpatients cases. Conclusions Patients with, lower lymphocyte counts in hemogram, platelet count and serum albumin, and high C-reactive protein level, and also patients with comorbidities may have more risk for death. So, it should be given more attention to risk management in the progression of COVID-19 disease.
【저자키워드】 COVID-19, risk factors of death, Survival model, Cox model, 【초록키워드】 Treatment, coronavirus disease, Mortality, Prognosis, Clinical characteristics, Kidney function, Comorbidities, Comorbidity, C-reactive protein, risk, progression, outcome, risk factor, hypertension, COVID-19 disease, Lymphocyte count, lymphocyte, oxygen saturation, survival, Characteristics, clinical, management, Patient, Data analysis, death, Platelet, Laboratory parameters, epidemiological, hemoglobin, mortality rate, serum albumin, electronic medical records, liver, patients, association, Analysis, COVID-19 patient, Inpatient, risk of death, clinician, single-center study, lymphocyte counts, Fisher’s exact test, Chi-square, survivor, clinical parameter, helping, non-survivor, Result, affected, was used, evaluate, died, conducted, were used, groups, statistically significant, discharged, analyses, Significant, patients with comorbidity, variables, 【제목키워드】 Mortality, risk factor, Retrospective study, Characteristics, clinical, Inpatient, single-center,