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10.1111/ijcp.14257 http://scihub22266oqcxt.onion/10.1111/ijcp.14257 33884718!8250231!33884718     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33884718&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Int+J+Clin+Pract 2021 ; 75 (7): e14257 Nephropedia Template TP {{tp|p=33884718|t=2021. Combined predictive performance of age and neutrophilic percentage on admission for severe novel coronavirus disease 2019 |pdf=|usr=}}{{33884718}} gab.com Text Combined predictive performance of age and neutrophilic percentage on admission for severe novel coronavirus disease 2019 JO: Int J Clin Pract http://www.kidney.de/pget.php?&tw=1&pmid=33884718 #FOAvip BACKGROUND: Novel coronavirus disease 2019 (COVID-19) poses a huge threat to the global public health. This study aimed to identify predictive indicators of severe COVID-19. METHODS: We retrospectively collected clinical data on hospital admission of all patients with severe COVID-19 and a control cohort (1:1) of gender- and hospital-matched patients with mild disease from 13 designated hospitals in the Hebei Province between 22 January and 15 April 2020. RESULTS: A total of 104 patients (52 with severe COVID-19 and 52 with mild disease) were included. Only age, fever, duration from symptom onset to confirmation, respiratory rate, percutaneous oxygen saturation (SpO(2) ) and neutrophilic percentage were independent predictors of severe COVID-19. Age and neutrophilic percentage performed best in predicting severe COVID-19, followed by SpO(2) . 'Age + neutrophilic percentage' (the sum of age and neutrophilic percentage) (area under the curve [AUC] 0.900, 95% confidence interval [CI] 0.825-0.950, P < .001) and 'age and neutrophilic percentage' (the prediction probability of age and neutrophilic percentage for severe type obtained by logistic regression analysis) (AUC 0.899, 95% CI 0.824-0.949, P < .001) had excellent predictive performance for severe type. The optimal cut-off for 'age + neutrophilic percentage' was >119.1 (sensitivity, 86.5%; specificity, 84.6%; Youden index, 0.712). CONCLUSION: The combination of age and neutrophil percentage could effectively predict severe COVID-19. The sum of age and neutrophil percentage was recommended for clinical application because of its excellent predictive value and practicability. TRAIL REGISTRATION: China Clinical Trial Registry, number ChiCTR2000030226. Registered 26 February 2020-Retrospectively registered, http://www.chictr.org.cn/showproj.aspx?proj=49855. Twit Text FOAVip Combined predictive performance of age and neutrophilic percentage on admission for severe novel coronavirus disease 2019 ????Int J Clin Pract http://www.kidney.de/pget.php?&tw=1&pmid=33884718 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33884718 #FOAvip English Wikipedia <ref>{{Cite pmid|33884718}}</ref> Combined predictive performance of age and neutrophilic percentage on admission for severe novel coronavirus disease 2019 #MMPMID33884718 Chen Y; Zhi H; Zhang K; Zhu G; Liu L; Yan X; Cai Z; Zhao C; Hu Z Int J Clin Pract 2021[Jul]; 75 (7): e14257 PMID33884718show ga BACKGROUND: Novel coronavirus disease 2019 (COVID-19) poses a huge threat to the global public health. This study aimed to identify predictive indicators of severe COVID-19. METHODS: We retrospectively collected clinical data on hospital admission of all patients with severe COVID-19 and a control cohort (1:1) of gender- and hospital-matched patients with mild disease from 13 designated hospitals in the Hebei Province between 22 January and 15 April 2020. RESULTS: A total of 104 patients (52 with severe COVID-19 and 52 with mild disease) were included. Only age, fever, duration from symptom onset to confirmation, respiratory rate, percutaneous oxygen saturation (SpO(2) ) and neutrophilic percentage were independent predictors of severe COVID-19. Age and neutrophilic percentage performed best in predicting severe COVID-19, followed by SpO(2) . 'Age + neutrophilic percentage' (the sum of age and neutrophilic percentage) (area under the curve [AUC] 0.900, 95% confidence interval [CI] 0.825-0.950, P < .001) and 'age and neutrophilic percentage' (the prediction probability of age and neutrophilic percentage for severe type obtained by logistic regression analysis) (AUC 0.899, 95% CI 0.824-0.949, P < .001) had excellent predictive performance for severe type. The optimal cut-off for 'age + neutrophilic percentage' was >119.1 (sensitivity, 86.5%; specificity, 84.6%; Youden index, 0.712). CONCLUSION: The combination of age and neutrophil percentage could effectively predict severe COVID-19. The sum of age and neutrophil percentage was recommended for clinical application because of its excellent predictive value and practicability. TRAIL REGISTRATION: China Clinical Trial Registry, number ChiCTR2000030226. Registered 26 February 2020-Retrospectively registered, http://www.chictr.org.cn/showproj.aspx?proj=49855. |*COVID-19[MESH] |China/epidemiology[MESH] |Humans[MESH] |Neutrophils[MESH] |Prognosis[MESH] |Retrospective Studies[MESH]Combined predictive performance of age and neutrophilic percentage on (epmc).pdf DeepDyve Pubget Overpricing