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BMC Infect Dis ; 21(1): 176, 2021 Feb 15.
Article in English | MEDLINE | ID: covidwho-1085167

ABSTRACT

BACKGROUND: Epidemiological and clinical features of patients with corona virus disease 2019 (COVID-19) were well delineated. However, no researches described the patients complicated with pleural effusion (PE). In the present study, we aimed to clinically characterize the COVID-19 patients complicated with PE and to create a predictive model on the basis of PE and other clinical features to identify COVID-19 patients who may progress to critical condition. METHODS: This retrospective study examined 476 COVID-19 inpatients, involving 153 patients with PE and 323 without PE. The data on patients' past history, clinical features, physical checkup findings, laboratory results and chest computed tomography (CT) findings were collected and analyzed. LASSO regression analysis was employed to identify risk factors associated with the severity of COVID-19. RESULTS: Laboratory findings showed that patients with PE had higher levels of white blood cells, neutrophils, lactic dehydrogenase, C-reactive protein and D-dimer, and lower levels of lymphocytes, platelets, hemoglobin, partial pressure of oxygen and oxygen saturation. Meanwhile, patients with PE had higher incidence of severe or critical illness and mortality rate, and longer hospital stay time compared to their counterparts without pleural effusion. Moreover, LASSO regression analysis exhibited that pleural effusion, lactic dehydrogenase (LDH), D-dimer and total bilirubin (TBIL) might be risk factors for critical COVID-19. CONCLUSIONS: Pleural effusion could serve as an indicator for severe inflammation and poor clinical outcomes, and might be a complementary risk factor for critical type of COVID-19.


Subject(s)
COVID-19/pathology , Pleural Effusion/pathology , Adult , C-Reactive Protein/analysis , COVID-19/diagnostic imaging , COVID-19/physiopathology , China , Exudates and Transudates , Female , Humans , Male , Middle Aged , Pleural Effusion/physiopathology , Retrospective Studies , Risk Factors , SARS-CoV-2/physiology , Severity of Illness Index , Tomography, X-Ray Computed
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