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1.
Int Immunopharmacol ; 97: 107697, 2021 Aug.
Article in English | MEDLINE | ID: covidwho-1193340

ABSTRACT

BACKGROUND: Toward the end of December 2019, a novel type of coronavirus (2019-nCoV) broke out in Wuhan, China. Here, the hematological characteristics of patients with severe and critical 2019-nCoV pneumonia in intensive care unit (ICU) were investigated, which may provide the necessary basis for its diagnosis and treatment. METHODS: We collected data on patients with confirmed 2019-nCoV pneumonia in the ICU of Leishenshan Hospital in Wuhan from February 25 to April 2, 2020. Real-time reverse-transcription polymerase chain reaction was used to confirm the presence of 2019-nCoV, and various hematological characteristics were analyzed. RESULTS: All patients tested positive for 2019-nCoV using nasopharyngeal swabs or sputum after admission, and interstitial pneumonia findings were noted on chest computed tomography. Sex, age and comorbidities were not significantly different between the severe and critical groups. In terms of prognosis, the survival rate of patients in the severe group reached 100%, whereas that of patients in the critical group was only 13.33% after positive treatment. Furthermore, lymphocyte percentage, blood urea nitrogen, calcium, D-dimer, myohemoglobin, procalcitonin, and IL-6 levels were high-risk factors for disease progression in critical patients. Finally, lymphocyte percentage and blood urea nitrogen, calcium, myohemoglobin, and IL-6 levels were closely associated with patient prognosis. CONCLUSIONS: 2019-nCoV pneumonia should be considered a systemic disease. Patients with more complications were more likely to develop critical disease. Lymphocyte percentage and blood urea nitrogen, calcium, myohemoglobin, and IL-6 levels can be monitored to prevent progression critical disease.


Subject(s)
COVID-19/blood , COVID-19/diagnosis , Intensive Care Units , Adult , Aged , Blood Urea Nitrogen , COVID-19/mortality , Calcium/blood , Female , Fibrin Fibrinogen Degradation Products/metabolism , Hemoglobins/metabolism , Humans , Interleukin-6/blood , Logistic Models , Lymphocytes/metabolism , Male , Middle Aged , Procalcitonin/blood , Prognosis , Retrospective Studies , Risk Factors
2.
Acta Pharmacol Sin ; 43(1): 64-75, 2022 Jan.
Article in English | MEDLINE | ID: covidwho-1142428

ABSTRACT

Coronavirus disease 2019 (COVID-19) broke out in December 2019. Due its high morbility and mortality, it is necessary to summarize the clinical characteristics of COVID-19 patients to provide more theoretical basis for future treatment. In the current study, we conducted a retrospective analysis of the clinical characteristics of COVID-19 patients and explored the risk factors for the severity of illness. A total of 101 COVID-19 patients hospitalized in Leishenshan Hospital (Wuhan, China) was classified into three sub-types: moderate (n = 47), severe (n = 36), and critical (n = 18); their clinical data were collected from the Electronic Medical Record. We showed that among the 101 COVID-19 patients, the median age was 62 years (IQR 51-74); 50 (49.5%) patients were accompanied by hypertension, while 25 (24.8%) and 22 (21.8%) patients suffered from diabetes and heart diseases, respectively, with complications. All patients were from Wuhan who had a definite history of exposure to the epidemic area. Multivariate logistic regression analysis revealed that older age, diabetes, chronic liver disease, percentage of neutrophils (N%) > 75%, CRP > 4 mg/L, D-dimer > 0.55 mg/L, IL-2R > 710 U/mL, IL-8 > 62 pg/mL, and IL-10 > 9.1 pg/mL were independent variables associated with severe COVID-19. In conclusion, we have identified the independent risk factors for the severity of COVID-19 pneumonia, including older age, diabetes, chronic liver disease, higher levels of N%, CRP, D-dimer, IL-2R, IL-8, and IL-10, providing evidence for more accurate risk prediction.


Subject(s)
COVID-19/pathology , Aged , COVID-19/metabolism , China , Female , Hospitalization , Humans , Interleukin-10/metabolism , Male , Middle Aged , Neutrophils/metabolism , Neutrophils/pathology , Retrospective Studies , Risk Factors , Severity of Illness Index
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