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10.3390/molecules25235725 http://scihub22266oqcxt.onion/10.3390/molecules25235725 33291581!7731255!33291581     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33291581&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       Molecules 2020 ; 25 (23): ? Nephropedia Template TP {{tp|p=33291581|t=2020. The Systemic Inflammation Index on Admission Predicts In-Hospital Mortality in COVID-19 Patients |pdf=|usr=}}{{33291581}} gab.com Text The Systemic Inflammation Index on Admission Predicts In-Hospital Mortality in COVID-19 Patients JO: Molecules http://www.kidney.de/pget.php?&tw=1&pmid=33291581 #FOAvip BACKGROUND: The rapid onset of a systemic pro-inflammatory state followed by acute respiratory distress syndrome is the leading cause of mortality in patients with COVID-19. We performed a retrospective observational study to explore the capacity of different complete blood cell count (CBC)-derived inflammation indexes to predict in-hospital mortality in this group. METHODS: The neutrophil to lymphocyte ratio (NLR), derived NLR (dNLR), platelet to lymphocyte ratio (PLR), mean platelet volume to platelet ratio (MPR), neutrophil to lymphocyte x platelet ratio (NLPR), monocyte to lymphocyte ratio (MLR), systemic inflammation response index (SIRI), systemic inflammation index (SII), and the aggregate index of systemic inflammation (AISI) were calculated on hospital admission in 119 patients with laboratory confirmed COVID-19. RESULTS: Non-survivors had significantly higher AISI, dNLR, NLPR, NLR, SII, and SIRI values when compared to survivors. Similarly, Kaplan-Meier survival curves showed significantly lower survival in patients with higher AISI, dNLR, MLR, NLPR, NLR, SII, and SIRI. However, after adjusting for confounders, only the SII remained significantly associated with survival (HR = 1.0001; 95% CI, 1.0000-1.0001, p = 0.029) in multivariate Cox regression analysis. CONCLUSIONS: The SII on admission independently predicts in-hospital mortality in COVID-19 patients and may assist with early risk stratification in this group. Twit Text FOAVip The Systemic Inflammation Index on Admission Predicts In-Hospital Mortality in COVID-19 Patients ????Molecules http://www.kidney.de/pget.php?&tw=1&pmid=33291581 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33291581 #FOAvip English Wikipedia <ref>{{Cite pmid|33291581}}</ref> The Systemic Inflammation Index on Admission Predicts In-Hospital Mortality in COVID-19 Patients #MMPMID33291581 Fois AG; Paliogiannis P; Scano V; Cau S; Babudieri S; Perra R; Ruzzittu G; Zinellu E; Pirina P; Carru C; Arru LB; Fancellu A; Mondoni M; Mangoni AA; Zinellu A Molecules 2020[Dec]; 25 (23): ? PMID33291581show ga BACKGROUND: The rapid onset of a systemic pro-inflammatory state followed by acute respiratory distress syndrome is the leading cause of mortality in patients with COVID-19. We performed a retrospective observational study to explore the capacity of different complete blood cell count (CBC)-derived inflammation indexes to predict in-hospital mortality in this group. METHODS: The neutrophil to lymphocyte ratio (NLR), derived NLR (dNLR), platelet to lymphocyte ratio (PLR), mean platelet volume to platelet ratio (MPR), neutrophil to lymphocyte x platelet ratio (NLPR), monocyte to lymphocyte ratio (MLR), systemic inflammation response index (SIRI), systemic inflammation index (SII), and the aggregate index of systemic inflammation (AISI) were calculated on hospital admission in 119 patients with laboratory confirmed COVID-19. RESULTS: Non-survivors had significantly higher AISI, dNLR, NLPR, NLR, SII, and SIRI values when compared to survivors. Similarly, Kaplan-Meier survival curves showed significantly lower survival in patients with higher AISI, dNLR, MLR, NLPR, NLR, SII, and SIRI. However, after adjusting for confounders, only the SII remained significantly associated with survival (HR = 1.0001; 95% CI, 1.0000-1.0001, p = 0.029) in multivariate Cox regression analysis. CONCLUSIONS: The SII on admission independently predicts in-hospital mortality in COVID-19 patients and may assist with early risk stratification in this group. |*Hospital Mortality[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |Blood Cell Count[MESH] |COVID-19/epidemiology/*mortality/physiopathology[MESH] |Comorbidity[MESH] |Female[MESH] |Humans[MESH] |Inflammation/*blood[MESH] |Lymphocyte Count[MESH] |Male[MESH] |Middle Aged[MESH] |Neutrophils[MESH] |ROC Curve[MESH]The Systemic Inflammation Index on Admission Predicts In-Hospital Mort(epmc).pdf DeepDyve Pubget Overpricing