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1.
Sci Rep ; 11(1): 4304, 2021 02 22.
Article in English | MEDLINE | ID: covidwho-1096330

ABSTRACT

To determine the correlation between the clinical, laboratory, and radiological findings and the hospitalization days in Coronavirus Infectious Disease-19 (COVID-19) discharged patients. We retrospectively identified 172 discharged patients with COVID-19 pneumonia from January 10, 2020, to February 28, 2020, in Hunan province. The patients were categorized into group 1 (≤ 19 days) and group 2 (> 19 days) based on the time from symptom onset to discharge. Cough during admission occurred more commonly in group 2 (68.4%) than in group 1 (53.1%, p = 0.042). White blood cell (p = 0.045), neutrophil counts (p = 0.023), Alanine aminotransferase (p = 0.029), Aspartate aminotransferase (p = 0.027) and Lactate dehydrogenase (p = 0.021) that were above normal were more common in group 2. Patients with single lesions were observed more in group 1(17.7%, p = 0.018) and multiple lesions observed more in group 2(86.8%, p = 0.012). The number of lobes involved (p = 0.008) in the CT score (p = 0.001) for each patient was all differences between the two groups with a statistically significant difference. Mixed ground-glass opacity (GGO) and consolidation appearances were observed in most patients. GGO components > consolidation appearance was more common in group 1 (25.0%) than in group 2 (8.0%) with a significant difference (0.015), GGO < consolidation was more common in group 2(71.1%, p = 0.012). From the logistic regression analysis, the CT score (OR, 1.223; 95% CI, 1.004 to 1.491, p = 0.046) and the appearance of GGO > consolidation (OR, 0.150; 95% CI, 0.034 to 0.660, p = 0.012) were independently associated with the hospitalization days. Thus, special attention should be paid to the role of radiological features in monitoring the disease prognosis.


Subject(s)
COVID-19/diagnostic imaging , COVID-19/pathology , Adult , Alanine Transaminase/blood , Aspartate Aminotransferases/blood , COVID-19/blood , China , Female , Humans , L-Lactate Dehydrogenase/blood , Male , Middle Aged , Patient Discharge/statistics & numerical data , Prognosis , Retrospective Studies , Tomography, X-Ray Computed
2.
J Int Med Res ; 48(9): 300060520956834, 2020 Sep.
Article in English | MEDLINE | ID: covidwho-791644

ABSTRACT

PURPOSE: To investigate associations between the clinical characteristics and incubation periods of patients infected with coronavirus disease 2019 (COVID-19) in Wuhan, China. METHODS: Complete clinical and epidemiological data from 149 patients with COVID-19 at a hospital in Hunan Province, China, were collected and retrospectively analyzed. RESULTS: Analysis of the distribution and receiver operator characteristic curve of incubation periods showed that 7 days was the optimal cut-off value to assess differences in disease severity between groups. Patients with shorter (≤7 days) incubation periods (n = 79) had more severe disease, longer durations of hospitalization, longer times from symptom onset to discharge, more abnormal laboratory findings, and more severe radiological findings than patients with longer (>7 days) incubation periods. Regression and correlation analyses also showed that a shorter incubation period was associated with longer times from symptom onset to discharge. CONCLUSION: The associations between the incubation periods and clinical characteristics of COVID-19 patients suggest that the incubation period may be a useful marker of disease severity and prognosis.


Subject(s)
Betacoronavirus/pathogenicity , Coronavirus Infections/diagnosis , Coronavirus Infections/physiopathology , Infectious Disease Incubation Period , Pneumonia, Viral/diagnosis , Pneumonia, Viral/physiopathology , Adolescent , Adult , Aged , Biomarkers/analysis , COVID-19 , Coronavirus Infections/mortality , Coronavirus Infections/virology , Female , Hospitalization/statistics & numerical data , Humans , Logistic Models , Male , Middle Aged , Pandemics , Patient Discharge/statistics & numerical data , Pneumonia, Viral/mortality , Pneumonia, Viral/virology , Prognosis , ROC Curve , Retrospective Studies , SARS-CoV-2 , Severity of Illness Index , Survival Analysis
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