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10.20452/pamw.15331 http://scihub22266oqcxt.onion/10.20452/pamw.15331 32356642!ä!32356642 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Pol+Arch+Intern+Med 2020 ; 130 (5): 400-406 Nephropedia Template TP {{tp|p=32356642|t=2020. Can we predict the severity of coronavirus disease 2019 with a routine blood test?|pdf=|usr=}}{{32356642}} gab.com Text Can we predict the severity of coronavirus disease 2019 with a routine blood test JO: Pol Arch Intern Med http://www.kidney.de/pget.php?&tw=1&pmid=32356642 #FOAvip INTRODUCTION: The ongoing worldwide pandemic of coronavirus disease 2019 (COVID?19) has posed a huge threat to global public health. However, the issue as to whether routine blood tests could be used to monitor and predict the severity and prognosis of COVID?19 has not been comprehensively investigated so far. OBJECTIVES: This study aimed to provide an overview of the association of markers in the routine blood test with the severity of COVID?19. METHODS: PubMed, Embase, Cochrane Library, Wanfang, and China National Knowledge Infrastructure (CNKI) databases were searched to identify studies reporting data on markers in the routine blood test and the severity of COVID?19, published until March 20, 2020. The STATA software was used for meta?analysis. RESULTS: A total of 15 studies with 3090 patients with COVID?19 were included in this analysis. Patients in the nonsevere group, compared with those in the severe group, had lower counts of white blood cells (weighted mean difference [WMD], -0.85 [x109/l]; 95% CI, -1.54 to -0.16; P = 0.02) and neutrophils (WMD, -1.57 [x109/l]; 95% CI, -2.6 to -0.54; P = 0.003), greater counts of lymphocytes (WMD, 0.29 [x109/l]; 95% CI, 0.22-0.36; P <0.001) and platelets (WMD, 19.05 [x109/l]; 95% CI, 3.04-35.06; P = 0.02), and a lower neutrophil?to?lymphocyte (NLR) ratio (WMD, -2.48; 95% CI, -3.81 to -1.15; P <0.001). There was no difference in the monocyte count (WMD, 0.01 [x109/l]; 95% CI, -0.01 to 0.03; P = 0.029) between these 2 groups. Sensitivity analysis and meta?analysis based on standard mean difference did not change the conclusions regarding neutrophils, lymphocytes, and NLR, but yielded inconsistent results for white blood cells and platelets. CONCLUSIONS: Severe patients had more neutrophils, higher NLR level, and fewer lymphocytes than non-severe patients with COVID-19. Measurement of these markers might assist clinicians to monitor and predict the severity and prognosis of COVID-19. Twit Text FOAVip Can we predict the severity of coronavirus disease 2019 with a routine blood test ????Pol Arch Intern Med http://www.kidney.de/pget.php?&tw=1&pmid=32356642 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32356642 #FOAvip English Wikipedia <ref>{{Cite pmid|32356642}}</ref> Can we predict the severity of coronavirus disease 2019 with a routine blood test? #MMPMID32356642 Zeng F; Li L; Zeng J; Deng Y; Huang H; Chen B; Deng G Pol Arch Intern Med 2020[May]; 130 (5): 400-406 PMID32356642show ga INTRODUCTION: The ongoing worldwide pandemic of coronavirus disease 2019 (COVID?19) has posed a huge threat to global public health. However, the issue as to whether routine blood tests could be used to monitor and predict the severity and prognosis of COVID?19 has not been comprehensively investigated so far. OBJECTIVES: This study aimed to provide an overview of the association of markers in the routine blood test with the severity of COVID?19. METHODS: PubMed, Embase, Cochrane Library, Wanfang, and China National Knowledge Infrastructure (CNKI) databases were searched to identify studies reporting data on markers in the routine blood test and the severity of COVID?19, published until March 20, 2020. The STATA software was used for meta?analysis. RESULTS: A total of 15 studies with 3090 patients with COVID?19 were included in this analysis. Patients in the nonsevere group, compared with those in the severe group, had lower counts of white blood cells (weighted mean difference [WMD], -0.85 [x109/l]; 95% CI, -1.54 to -0.16; P = 0.02) and neutrophils (WMD, -1.57 [x109/l]; 95% CI, -2.6 to -0.54; P = 0.003), greater counts of lymphocytes (WMD, 0.29 [x109/l]; 95% CI, 0.22-0.36; P <0.001) and platelets (WMD, 19.05 [x109/l]; 95% CI, 3.04-35.06; P = 0.02), and a lower neutrophil?to?lymphocyte (NLR) ratio (WMD, -2.48; 95% CI, -3.81 to -1.15; P <0.001). There was no difference in the monocyte count (WMD, 0.01 [x109/l]; 95% CI, -0.01 to 0.03; P = 0.029) between these 2 groups. Sensitivity analysis and meta?analysis based on standard mean difference did not change the conclusions regarding neutrophils, lymphocytes, and NLR, but yielded inconsistent results for white blood cells and platelets. CONCLUSIONS: Severe patients had more neutrophils, higher NLR level, and fewer lymphocytes than non-severe patients with COVID-19. Measurement of these markers might assist clinicians to monitor and predict the severity and prognosis of COVID-19. |Adult[MESH] |Betacoronavirus/*isolation & purification[MESH] |COVID-19[MESH] |Coronavirus Infections/*blood/*diagnosis[MESH] |Humans[MESH] |Leukocyte Count[MESH] |Middle Aged[MESH] |Pandemics/prevention & control[MESH] |Platelet Count[MESH] |Pneumonia, Viral/*blood/*diagnosis[MESH] |Prognosis[MESH] |Risk Factors[MESH]Can we predict the severity of coronavirus disease 2019 with a routine(epmc).pdf DeepDyve Pubget Overpricing