Is elevated red blood cell distribution width a new risk factor for polycystic ovary syndrome?

2014 ◽  
Author(s):  
Mehmet Calan ◽  
Ozgur Yilmaz ◽  
Sefa Kelekci
Keyword(s):  
Risk Factor ◽  
Polycystic Ovary Syndrome ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Polycystic Ovary ◽  
Cell Distribution ◽  
Ovary Syndrome ◽  
Distribution Width ◽  
Red Blood Cell Distribution

Association between red blood cell distribution width and polycystic ovary syndrome

2014 ◽  
Vol 40 (4) ◽  
pp. 181-187 ◽  
Author(s):  
Özgür Yilmaz ◽  
Calan Mehmet ◽  
Sefa Kelekci ◽  
Muzaffer Temur
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Polycystic Ovary ◽  
Cell Distribution ◽  
Ovary Syndrome ◽  
Distribution Width ◽  
Red Blood Cell Distribution

scholarly journals Genetic predisposition for increased red blood cell distribution width is an early risk factor for cardiovascular and renal comorbidities

2020 ◽  
Vol 13 (5) ◽  
pp. dmm044081
Author(s):  
Xi Cheng ◽  
Blair Mell ◽  
Ahmad Alimadadi ◽  
Sarah Galla ◽  
Cameron G. McCarthy ◽  
...  
Keyword(s):  
Risk Factor ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Genetic Predisposition ◽  
Cell Distribution ◽  
Distribution Width ◽  
Early Risk ◽  
Early Risk Factor ◽  
Red Blood Cell Distribution

scholarly journals The association between red blood cell distribution width and acute pancreatitis associated lung injury in patients with acute pancreatitis

Open Medicine ◽  
2015 ◽  
Vol 10 (1) ◽  
Author(s):  
You-Fan Peng ◽  
Zhao-Xia Zhang ◽  
Wei Cao ◽  
Cun-Ren Meng ◽  
Shen-Sheng Xu ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Risk Factor ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Independent Risk Factor ◽  
Cell Distribution ◽  
Distribution Width ◽  
Crude Model ◽  
Medical Histories ◽  
Red Blood Cell Distribution

AbstractB ackground: Red blood cell distribution width (RDW) that describes red blood cell volume heterogeneity is a common laboratory test. Our aim was to focus on th e association between RDW and a c ute pancreatitis associated lung injury (APALI). Methodology: A total of 152 acute pancreatitis (AP) patients who conformed to the criteria w ere included in this study. The demographic data, medical histories and laboratory measures was obtained from each patient on admission, further, the medical histories and biological data were analyzed, retrospectively. Results: Increased RDW at admission was observed in patients with APALI compared with the non-APALI groups. Our results exhibited that RDW was an independent risk factor for APALI after adjusting leukocyte, neutrophil percentage, random blood glucose (RBG), total bilirubin (TB) and total bile acid（TBA）(Crude model) (OR=2.671;CI 95% 1.145-6.230; P=0.023), further adjustment based on Crude model for sex and age did not attenuate the significantly high risk of APALI in patients with AP, RWD still remained a ro les as an independent risk factor for APALI (OR=2.653;CI95 % 1.123-6.138; P=0.026). Conclusions: Our study demonstrate that RDW at admission is associated with APALI and should be considered as an underlying risk factor of APALI.

scholarly journals Red blood cell distribution width as a prognostic factor in patients undergoing transcatheter aortic valve implantation

2019 ◽  
Vol 74 (3) ◽  
pp. 212-216 ◽  
Author(s):  
Yishay Szekely ◽  
Ariel Finkelstein ◽  
Samuel Bazan ◽  
Amir Halkin ◽  
Maria Abbas Younis ◽  
...  
Keyword(s):  
Prognostic Factor ◽  
Aortic Valve ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Cell Distribution ◽  
Distribution Width ◽  
Transcatheter Aortic Valve ◽  
Aortic Valve Implantation ◽  
Valve Implantation ◽  
Red Blood Cell Distribution

Red Blood Cell Distribution Width (RDW) Correlates to the Anatomical Location of Colorectal Cancer. Implications for Clinical Use

2021 ◽  
Author(s):  
Alessandro Fancellu ◽  
Angelo Zinellu ◽  
Arduino Aleksander Mangoni ◽  
Anastasia Popova ◽  
Francesca Galotti ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Anatomical Location ◽  
Clinical Use ◽  
Cell Distribution ◽  
Distribution Width ◽  
Red Blood Cell Distribution

scholarly journals Red Blood Cell Distribution Width, Disease Severity, and Mortality in Hospitalized Patients with SARS-CoV-2 Infection: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 10 (2) ◽  
pp. 286
Author(s):  
Angelo Zinellu ◽  
Arduino A. Mangoni
Keyword(s):  
Systematic Review ◽  
Blood Cell ◽  
Disease Severity ◽  
Red Blood Cell ◽  
Effect Size ◽  
Meta Analysis ◽  
Severe Illness ◽  
Cell Distribution ◽  
Distribution Width ◽  
Red Blood Cell Distribution

The identification of biomarkers predicting disease severity and outcomes is the focus of intense research in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 infection). Ideally, such biomarkers should be easily derivable from routine tests. We conducted a systematic review and meta-analysis of the predictive role of the red blood cell distribution width (RDW), a routine hematological test, in patients with SARS-CoV-2 infection. We searched the electronic databases PubMed, Web of Science and Scopus, from January 2020 to November 2020, for studies reporting data on the RDW and coronavirus disease 2019 (COVID-19) severity, defined as severe illness or admission to the intensive care unit (ICU), and mortality. Eleven studies in 4901 COVID-19 patients were selected for the meta-analysis. Pooled results showed that the RDW values were significantly higher in patients with severe disease and non-survivors (standard mean difference, SMD = 0.56, 95% CI 0.31 to 0.81, p < 0.001). Heterogeneity between studies was extreme (I2 = 80.6%; p < 0.001). In sensitivity analysis, the effect size was not modified when each study was in turn removed (effect size range, between 0.47 and 0.63). The Begg’s (p = 0.53) and Egger’s tests (p = 0.52) showed no evidence of publication bias. No significant correlations were observed between SMD and age, gender, whole blood count, end point, study geographic area, or design. Our meta-analysis showed that higher RDW values are significantly associated with COVID-19 severity and mortality. This routine parameter might assist with early risk stratification in patients with SARS-CoV-2 infection.

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