No obvious association exists between red blood cell distribution width and thyroid function

2019 ◽  
Vol 13 (16) ◽  
pp. 1363-1372 ◽  
Author(s):  
Peng Wang ◽  
Chao Huang ◽  
Zhaowei Meng ◽  
Wenjuan Zhang ◽  
Yongle Li ◽  
...  

Aim: We aimed to explore gender impacts on the associations between red blood cell distribution width (RDW) and thyroid function in the Chinese population. Methods/results: Gender impacts on the associations between RDW and thyroid function in 8424 males and 5198 females were investigated. RDW was found significantly lower in males than in females. An increasing trend of RDW along with aging was demonstrated in males. For females, an obvious decrease was shown during menopause period. From binary logistic regression, RDW displayed negative relationship with hypothyroidism in both genders as a single factor. However, if RDW was analyzed as a categorical variable (in RDW width quartiles) and as a continuous variable in models with covariates, all the odds ratios were negative, except for a weak-negative relationship with hypothyroidism in women in a continuous RDW model. Conclusion: The current study suggests that anisocytosis could be a contributing factor in thyroid dysfunction.

2021 ◽  
Vol 10 (2) ◽  
pp. 286
Author(s):  
Angelo Zinellu ◽  
Arduino A. Mangoni

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.


2013 ◽  
Vol 275 (1) ◽  
pp. 84-92 ◽  
Author(s):  
S. Adamsson Eryd ◽  
Y. Borné ◽  
O. Melander ◽  
M. Persson ◽  
J. G. Smith ◽  
...  

2013 ◽  
Vol 37 (4) ◽  
pp. 469-474 ◽  
Author(s):  
Yaron Arbel ◽  
Edo Y. Birati ◽  
Ariel Finkelstein ◽  
Amir Halkin ◽  
Shlomo Berliner ◽  
...  

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