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10.1016/j.jaci.2020.05.003 http://scihub22266oqcxt.onion/10.1016/j.jaci.2020.05.003 32407836!7212968!32407836     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Allergy+Clin+Immunol 2020 ; 146 (1): 89-100 Nephropedia Template TP {{tp|p=32407836|t=2020. Longitudinal hematologic and immunologic variations associated with the progression of COVID-19 patients in China |pdf=|usr=}}{{32407836}} gab.com Text Longitudinal hematologic and immunologic variations associated with the progression of COVID-19 patients in China JO: J Allergy Clin Immunol http://www.kidney.de/pget.php?&tw=1&pmid=32407836 #FOAvip BACKGROUND: Crucial roles of hematologic and immunologic responses in progression of coronavirus disease 2019 (COVID-19) remain largely unclear. OBJECTIVE: We sought to address the dynamic changes in hematologic and immunologic biomarkers and their associations with severity and outcomes of COVID-19. METHODS: A retrospective study including 548 patients with COVID-19 with clarified outcome (discharged or deceased) from a national cohort in China was performed. Cross-sectional and longitudinal variations were compared and the associations with different severity and outcomes were analyzed. RESULTS: On admission, the counts of lymphocytes, T-cell subsets, eosinophils, and platelets decreased markedly, especially in severe/critical and fatal patients. Increased neutrophil count and neutrophils-to-lymphocytes ratio were predominant in severe/critical cases or nonsurvivors. During hospitalization, eosinophils, lymphocytes, and platelets showed an increasing trend in survivors, but maintained lower levels or dropped significantly afterwards in nonsurvivors. Nonsurvivors kept a high level or showed an upward trend for neutrophils, IL-6, procalcitonin, D-dimer, amyloid A protein, and C-reactive protein, which were kept stable or showed a downward trend in survivors. Positive correlation between CD8(+) T-cell and lymphocytes count was found in survivors but not in nonsurvivors. A multivariate Cox regression model suggested that restored levels of lymphocytes, eosinophils, and platelets could serve as predictors for recovery, whereas progressive increases in neutrophils, basophils, and IL-6 were associated with fatal outcome. CONCLUSIONS: Hematologic and immunologic impairment showed a significantly different profile between survivors and nonsurvivors in patients with COVID-19 with different severity. The longitudinal variations in these biomarkers could serve to predict recovery or fatal outcome. Twit Text FOAVip Longitudinal hematologic and immunologic variations associated with the progression of COVID-19 patients in China ????J Allergy Clin Immunol http://www.kidney.de/pget.php?&tw=1&pmid=32407836 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32407836 #FOAvip English Wikipedia <ref>{{Cite pmid|32407836}}</ref> Longitudinal hematologic and immunologic variations associated with the progression of COVID-19 patients in China #MMPMID32407836 Chen R; Sang L; Jiang M; Yang Z; Jia N; Fu W; Xie J; Guan W; Liang W; Ni Z; Hu Y; Liu L; Shan H; Lei C; Peng Y; Wei L; Liu Y; Hu Y; Peng P; Wang J; Liu J; Chen Z; Li G; Zheng Z; Qiu S; Luo J; Ye C; Zhu S; Zheng J; Zhang N; Li Y; He J; Li J; Li S; Zhong N J Allergy Clin Immunol 2020[Jul]; 146 (1): 89-100 PMID32407836show ga BACKGROUND: Crucial roles of hematologic and immunologic responses in progression of coronavirus disease 2019 (COVID-19) remain largely unclear. OBJECTIVE: We sought to address the dynamic changes in hematologic and immunologic biomarkers and their associations with severity and outcomes of COVID-19. METHODS: A retrospective study including 548 patients with COVID-19 with clarified outcome (discharged or deceased) from a national cohort in China was performed. Cross-sectional and longitudinal variations were compared and the associations with different severity and outcomes were analyzed. RESULTS: On admission, the counts of lymphocytes, T-cell subsets, eosinophils, and platelets decreased markedly, especially in severe/critical and fatal patients. Increased neutrophil count and neutrophils-to-lymphocytes ratio were predominant in severe/critical cases or nonsurvivors. During hospitalization, eosinophils, lymphocytes, and platelets showed an increasing trend in survivors, but maintained lower levels or dropped significantly afterwards in nonsurvivors. Nonsurvivors kept a high level or showed an upward trend for neutrophils, IL-6, procalcitonin, D-dimer, amyloid A protein, and C-reactive protein, which were kept stable or showed a downward trend in survivors. Positive correlation between CD8(+) T-cell and lymphocytes count was found in survivors but not in nonsurvivors. A multivariate Cox regression model suggested that restored levels of lymphocytes, eosinophils, and platelets could serve as predictors for recovery, whereas progressive increases in neutrophils, basophils, and IL-6 were associated with fatal outcome. CONCLUSIONS: Hematologic and immunologic impairment showed a significantly different profile between survivors and nonsurvivors in patients with COVID-19 with different severity. The longitudinal variations in these biomarkers could serve to predict recovery or fatal outcome. |Adult[MESH] |Aged[MESH] |Betacoronavirus[MESH] |Biomarkers/*blood[MESH] |COVID-19[MESH] |China[MESH] |Cohort Studies[MESH] |Coronavirus Infections/*blood/*immunology/mortality[MESH] |Cross-Sectional Studies[MESH] |Disease Progression[MESH] |Female[MESH] |Humans[MESH] |Longitudinal Studies[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Pneumonia, Viral/*blood/*immunology/mortality[MESH] |Prognosis[MESH] |Retrospective Studies[MESH]Longitudinal hematologic and immunologic variations associated with th(epmc).pdf DeepDyve Pubget Overpricing