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10.1007/s00277-021-04426-x http://scihub22266oqcxt.onion/10.1007/s00277-021-04426-x 33523290!7848253!33523290     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Ann+Hematol 2021 ; 100 (3): 675-689 Nephropedia Template TP {{tp|p=33523290|t=2021. Hematologic changes predict clinical outcome in recovered patients with COVID-19 |pdf=|usr=}}{{33523290}} gab.com Text Hematologic changes predict clinical outcome in recovered patients with COVID-19 JO: Ann Hematol http://www.kidney.de/pget.php?&tw=1&pmid=33523290 #FOAvip 2019 coronavirus disease (COVID-19) presents as a newly recognized pneumonia that has brought about a global pandemic and is increasingly considered as a systemic illness. We investigated the clinical and laboratory features of recovered COVID-19 patients without pre-existing hematologic diseases at Wuhan No. 1 Hospital. Fifty-nine male and 68 female Chinese patients were included with the median age at 64 years in the present study. Eosinopenia (37.80%), monocytosis (51.97%), lymphocytopenia (25.20%), and anemia (51.97%) were the most common hematologic findings in our cohort, particularly in severe or critically ill COVID-19. The levels of changes in leukocytes, neutrophils, lymphocytes, monocytes, eosinophils, basophils, platelets, hemoglobin levels, mean corpuscular volume (MCV), and mean cell hemoglobin concentration (MCHC) are overall associated with lung involvement, oxygen demand, and disease activity. However, changes of eosinophils (end hospitalization-baseline) (coefficients = 10.32; 95% CI = 1.03-19.60, P = 0.03) and basophils (Max - Min) (coefficients = 71.43; 95% CI = 8.55-134.31, P = 0.03) were independent predictors of delayed recovery in the hospital by the multivariate analysis in this recovered population. A variety of hematologic changes are associated with the severity and clinical outcome of recovered COVID-19 patients, which warrants further exploration of their underlying mechanisms. Twit Text FOAVip Hematologic changes predict clinical outcome in recovered patients with COVID-19 ????Ann Hematol http://www.kidney.de/pget.php?&tw=1&pmid=33523290 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33523290 #FOAvip English Wikipedia <ref>{{Cite pmid|33523290}}</ref> Hematologic changes predict clinical outcome in recovered patients with COVID-19 #MMPMID33523290 Mao J; Dai R; Du RC; Zhu Y; Shui LP; Luo XH Ann Hematol 2021[Mar]; 100 (3): 675-689 PMID33523290show ga 2019 coronavirus disease (COVID-19) presents as a newly recognized pneumonia that has brought about a global pandemic and is increasingly considered as a systemic illness. We investigated the clinical and laboratory features of recovered COVID-19 patients without pre-existing hematologic diseases at Wuhan No. 1 Hospital. Fifty-nine male and 68 female Chinese patients were included with the median age at 64 years in the present study. Eosinopenia (37.80%), monocytosis (51.97%), lymphocytopenia (25.20%), and anemia (51.97%) were the most common hematologic findings in our cohort, particularly in severe or critically ill COVID-19. The levels of changes in leukocytes, neutrophils, lymphocytes, monocytes, eosinophils, basophils, platelets, hemoglobin levels, mean corpuscular volume (MCV), and mean cell hemoglobin concentration (MCHC) are overall associated with lung involvement, oxygen demand, and disease activity. However, changes of eosinophils (end hospitalization-baseline) (coefficients = 10.32; 95% CI = 1.03-19.60, P = 0.03) and basophils (Max - Min) (coefficients = 71.43; 95% CI = 8.55-134.31, P = 0.03) were independent predictors of delayed recovery in the hospital by the multivariate analysis in this recovered population. A variety of hematologic changes are associated with the severity and clinical outcome of recovered COVID-19 patients, which warrants further exploration of their underlying mechanisms. |*Blood Cell Count[MESH] |*Convalescence[MESH] |*SARS-CoV-2[MESH] |Adult[MESH] |Aged[MESH] |Basophils[MESH] |C-Reactive Protein/analysis[MESH] |COVID-19 Drug Treatment[MESH] |COVID-19/*blood/epidemiology/physiopathology/therapy[MESH] |China[MESH] |Combined Modality Therapy[MESH] |Comorbidity[MESH] |Diabetes Mellitus/blood/epidemiology[MESH] |Eosinophils[MESH] |Female[MESH] |Hemoglobins/analysis[MESH] |Humans[MESH] |Hypertension/blood/epidemiology[MESH] |Interleukin-6/blood[MESH] |Lung/physiopathology[MESH] |Male[MESH] |Middle Aged[MESH] |Oxygen Inhalation Therapy[MESH] |Prognosis[MESH]Hematologic changes predict clinical outcome in recovered patients wit(epmc).pdf DeepDyve Pubget Overpricing