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10.1515/cclm-2020-0411 http://scihub22266oqcxt.onion/10.1515/cclm-2020-0411 32441666!ä!32441666 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Clin+Chem+Lab+Med 2020 ; 58 (8): 1365-1371 Nephropedia Template TP {{tp|p=32441666|t=2020. Dynamic profile and clinical implications of hematological parameters in hospitalized patients with coronavirus disease 2019 |pdf=|usr=}}{{32441666}} gab.com Text Dynamic profile and clinical implications of hematological parameters in hospitalized patients with coronavirus disease 2019 JO: Clin Chem Lab Med http://www.kidney.de/pget.php?&tw=1&pmid=32441666 #FOAvip Objectives As people across the world suffer from coronavirus disease 2019 (COVID-19), further studies are needed to facilitate evaluating the severity and prognosis of COVID-19 patients. In the study, we aimed to dissect the dynamic profile and clinical implications of hematological findings in hospitalized patients with COVID-19. Methods We retrospectively analyzed the hematological findings of 72 patients with COVID-19 admitted from January 21 to February 17, 2020. The final date of follow-up was March 20, 2020. Dynamic profile of vital hematological parameters in severe and non-severe patients was presented at different time points (day 1, 5, 7, 9, 11, 13, 15 after admission), and the correlation of hematological parameters with hospitalization time was indicated. Results Of 72 patients with COVID-19, lymphopenia and leukopenia occurred in 39 (54.2%) and 20 (27.8%) patients with COVID-19, respectively. Fifteen (20.8%) patients were defined as severe cases and 57 (79.2%) were non-severe cases. Compared to non-severe patients, leukocyte count, neutrophil count and neutrophil-to-lymphocyte ratio (NLR) were significantly higher, whereas lymphocyte count was declined in severe patients at each time point. A growing trend in platelet count was found in non-severe patients over the follow-up period. In addition, a positive correlation of NLR with hospitalization time was detected from day 5 after admission. Conclusions Dynamic changes in vital hematological parameters from severe and non-severe patients had been characterized in the course of hospitalization. During hospitalization, NLR was found to have certain relevance to the hospitalization days and a role in forecasting disease prognosis for patients with COVID-19. Twit Text FOAVip Dynamic profile and clinical implications of hematological parameters in hospitalized patients with coronavirus disease 2019 ????Clin Chem Lab Med http://www.kidney.de/pget.php?&tw=1&pmid=32441666 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32441666 #FOAvip English Wikipedia <ref>{{Cite pmid|32441666}}</ref> Dynamic profile and clinical implications of hematological parameters in hospitalized patients with coronavirus disease 2019 #MMPMID32441666 Ding X; Yu Y; Lu B; Huo J; Chen M; Kang Y; Lou J; Liu Z Clin Chem Lab Med 2020[Jul]; 58 (8): 1365-1371 PMID32441666show ga Objectives As people across the world suffer from coronavirus disease 2019 (COVID-19), further studies are needed to facilitate evaluating the severity and prognosis of COVID-19 patients. In the study, we aimed to dissect the dynamic profile and clinical implications of hematological findings in hospitalized patients with COVID-19. Methods We retrospectively analyzed the hematological findings of 72 patients with COVID-19 admitted from January 21 to February 17, 2020. The final date of follow-up was March 20, 2020. Dynamic profile of vital hematological parameters in severe and non-severe patients was presented at different time points (day 1, 5, 7, 9, 11, 13, 15 after admission), and the correlation of hematological parameters with hospitalization time was indicated. Results Of 72 patients with COVID-19, lymphopenia and leukopenia occurred in 39 (54.2%) and 20 (27.8%) patients with COVID-19, respectively. Fifteen (20.8%) patients were defined as severe cases and 57 (79.2%) were non-severe cases. Compared to non-severe patients, leukocyte count, neutrophil count and neutrophil-to-lymphocyte ratio (NLR) were significantly higher, whereas lymphocyte count was declined in severe patients at each time point. A growing trend in platelet count was found in non-severe patients over the follow-up period. In addition, a positive correlation of NLR with hospitalization time was detected from day 5 after admission. Conclusions Dynamic changes in vital hematological parameters from severe and non-severe patients had been characterized in the course of hospitalization. During hospitalization, NLR was found to have certain relevance to the hospitalization days and a role in forecasting disease prognosis for patients with COVID-19. |*Betacoronavirus[MESH] |*Length of Stay[MESH] |Adult[MESH] |COVID-19[MESH] |COVID-19 Testing[MESH] |Clinical Laboratory Techniques/*statistics & numerical data[MESH] |Coronavirus Infections/*blood/*diagnosis[MESH] |Female[MESH] |Humans[MESH] |Leukocyte Count[MESH] |Lymphocyte Count[MESH] |Male[MESH] |Middle Aged[MESH] |Neutrophils/metabolism[MESH] |Pandemics[MESH] |Platelet Count[MESH] |Pneumonia, Viral/*blood/*diagnosis[MESH] |Prognosis[MESH] |Retrospective Studies[MESH]Dynamic profile and clinical implications of hematological parameters (epmc).pdf DeepDyve Pubget Overpricing