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10.1002/iid3.353 http://scihub22266oqcxt.onion/10.1002/iid3.353 32969605!7537545!32969605     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32969605&cmd=llinks): Failed to open stream: HTTP request failed! 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A novel risk score to predict cardiovascular complications in patients with coronavirus disease 2019 (COVID-19): A retrospective, multicenter, observational study |pdf=|usr=}}{{32969605}} gab.com Text A novel risk score to predict cardiovascular complications in patients with coronavirus disease 2019 (COVID-19): A retrospective, multicenter, observational study JO: Immun Inflamm Dis http://www.kidney.de/pget.php?&tw=1&pmid=32969605 #FOAvip BACKGROUND: We conducted this study to explore a novel risk score to predict cardiovascular complications in patients with coronavirus disease 2019 (COVID-19). METHODS: The current study was a retrospective, multicenter, observational study. The clinical data of COVID-19 patients at admission were collected. Patients were randomly divided into training set and testing set (70% vs. 30% of patients). Independent risk factors were identified via logistic regression analysis. RESULTS: Finally, 1207 patients were included. Ten independent risk factors associated with cardiovascular complications were identified in training set: male (odds ratio [OR]: 1.84; 95% confidence interval [CI]: 1.18, 2.85), age >/= 60 years old (OR: 2.01; 95% CI: 1.3, 3.2), cough (OR: 1.86; 95% CI: 1.16, 3), chronic heart disease (OR: 2.3; 95% CI: 1.19, 4.46), lymphocyte count </=1.1 x 10(9) /L at admission (OR: 1.60; 95% CI: 1.03, 2.47), blood urea nitrogen >/=7 mmol/L at admission (OR: 2.14; 95% CI: 1.27, 3.62), estimated glomerular filtration rate </=90 ml/min/1.73 m(2) at admission (OR: 2.08; 95% CI: 1.13, 3.83), activated partial thromboplastin time >/=37 s (OR: 3.07; 95% CI: 1.37, 6.86), D-dimer >/= 0.5 mg/L (OR: 2.12; 95% CI: 1.33, 3.36) and procalcitonin >/=0.5 mug/L (OR: 3.58; 95% CI: 1.40, 9.14). The area under curve of ROC curve was 0.773 (95% CI: 0.723, 0.822; p < .01). The risk score had robustness and generalizability after validation. Cardiovascular complications were significantly associated with poorer survivals (log-rank test: p < .001). CONCLUSIONS: We developed and validated a novel risk score, which has a promising predictive capacity for cardiovascular complications in COVID-19 patients. Twit Text FOAVip A novel risk score to predict cardiovascular complications in patients with coronavirus disease 2019 (COVID-19): A retrospective, multicenter, observational study ????Immun Inflamm Dis http://www.kidney.de/pget.php?&tw=1&pmid=32969605 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32969605 #FOAvip English Wikipedia <ref>{{Cite pmid|32969605}}</ref> A novel risk score to predict cardiovascular complications in patients with coronavirus disease 2019 (COVID-19): A retrospective, multicenter, observational study #MMPMID32969605 Huang D; Yang H; Yu H; Wang T; Yao R; Liang Z Immun Inflamm Dis 2020[Dec]; 8 (4): 638-649 PMID32969605show ga BACKGROUND: We conducted this study to explore a novel risk score to predict cardiovascular complications in patients with coronavirus disease 2019 (COVID-19). METHODS: The current study was a retrospective, multicenter, observational study. The clinical data of COVID-19 patients at admission were collected. Patients were randomly divided into training set and testing set (70% vs. 30% of patients). Independent risk factors were identified via logistic regression analysis. RESULTS: Finally, 1207 patients were included. Ten independent risk factors associated with cardiovascular complications were identified in training set: male (odds ratio [OR]: 1.84; 95% confidence interval [CI]: 1.18, 2.85), age >/= 60 years old (OR: 2.01; 95% CI: 1.3, 3.2), cough (OR: 1.86; 95% CI: 1.16, 3), chronic heart disease (OR: 2.3; 95% CI: 1.19, 4.46), lymphocyte count /=7 mmol/L at admission (OR: 2.14; 95% CI: 1.27, 3.62), estimated glomerular filtration rate /=37 s (OR: 3.07; 95% CI: 1.37, 6.86), D-dimer >/= 0.5 mg/L (OR: 2.12; 95% CI: 1.33, 3.36) and procalcitonin >/=0.5 mug/L (OR: 3.58; 95% CI: 1.40, 9.14). The area under curve of ROC curve was 0.773 (95% CI: 0.723, 0.822; p < .01). The risk score had robustness and generalizability after validation. Cardiovascular complications were significantly associated with poorer survivals (log-rank test: p < .001). CONCLUSIONS: We developed and validated a novel risk score, which has a promising predictive capacity for cardiovascular complications in COVID-19 patients. |Adult[MESH] |Aged[MESH] |Betacoronavirus/*pathogenicity[MESH] |COVID-19[MESH] |Cardiovascular Diseases/*epidemiology/etiology[MESH] |Coronavirus Infections/*complications/mortality/virology[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Pneumonia, Viral/*complications/mortality/virology[MESH] |Prognosis[MESH] |ROC Curve[MESH] |Retrospective Studies[MESH] |Risk Assessment/methods[MESH] |Risk Factors[MESH]A novel risk score to predict cardiovascular complications in patients(epmc).pdf DeepDyve Pubget Overpricing