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Mohamedahmed KA, Mubarak MO, Talha AA. Assessment of Red Cell Distribution Width among Sudanese Patients with Hypothyroidism.. [DOI: 10.21203/rs.3.rs-2518318/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
Abstract
Background: Thyroid dysfunction has a strong linkage with anemia. RDW was traditionally regarded as a part of routine evaluation of anemia Elevated RDW level was significantly associated with subclinical hypothyroidism and hypothyroidism.
Objectives: The aim of this is study to assess the Red Cell Distribution Width (RDW-CV and RDW-SD) in patients with hypothyroidism.
Methodology: This is a case-control laboratory-based study conducted among 50 patients with hypothyroidism as cases (38.50 ± 10.46 years; 36% males and 64% females) and 50 normal healthy individuals as controls (35.52 ± 11.64 years; 46% males and 54% females) in National Cancer Institute – University of Gezira (NCI-UG), Gezira State, Sudan from January to October 2020. Three ml of venous blood sample was collected in an EDTA container. Red cell parameters (RBC count, MCV, RDW-CV, and RDW-SD) were measured using Sysmex XP 300 Cell Counter. SPSS computer program (v 22.0) was used for data analysis.
Results: The average RDW (SD and CV) of cases were higher than controls (P value = 0.000, 0.000 respectively). There was a significant difference in RDW-CV between mild and severe hypothyroidism (P value = 0.040). RDW-SD and RDW-CV had significant positive correlation within TSH (r = 0.361, P value = 0.000; r = 0.407, P value = 0.000 respectively) and significant negative correlation within T3 (r = - 0.419, P value = 0.000; r = - 0.507, P value = 0.000 respectively) and T4 (r = - 0.406, P value = 0.000; r = - 0.506, P value = 0.000 respectively).
Conclusion: The study concluded that RDW was significantly higher in patients with hypothyroidism and had a significant positive correlation with TSH and a significant negative correlation within T3 and T4. So, RDW may be used as a significant clinical marker of hypothyroidism.
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Zhou G, Ai Y, Guo S, Chen Q, Feng X, Xu K, Wang G, Ma C. Association Between Red Blood Cell Distribution Width and Thyroid Function. Front Endocrinol (Lausanne) 2021; 12:807482. [PMID: 35116009 PMCID: PMC8805204 DOI: 10.3389/fendo.2021.807482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 12/17/2021] [Indexed: 11/16/2022] Open
Abstract
AIM Red blood cell distribution width (RDW) is an important parameter with broad biological implications. However, the study investigating the association between RDW and thyroid function remains sparse and inconsistent. We aimed to investigate the association between RDW and thyroid function in the US population. METHODS A cross-sectional analysis was performed using the data from the National Health and Nutrition Examination Survey (NHANES) conducted from 2007 to 2010. The thyroid parameters investigated were mainly free triiodothyronine (fT3), free thyroxine (fT4), thyroid-stimulating hormone (TSH), antithyroglobulin antibody (TgAb), and antithyroperoxidase antibody (TPOAb). In the 6,895 adults aged 18 years or older, logistic regression modeling was applied to estimate the association between RDW quartiles and thyroid parameters. Smooth curve fittings and generalized additive models were then performed to address the nonlinear relationship. RESULTS The association between RDW and TSH followed a J-shaped curve, and a significant positive relationship existed in the 12.5%-17.5% range of RDW (β = 0.350, 95% confidence interval (CI): 0.225 to 0.474), which was prominent in females. We further demonstrated a negative association (β = -0.018, 95% CI: -0.030 to -0.005) between RDW and fT3. Moreover, elevated RDW was more likely to be subclinical hypothyroidism. However, there was no obvious association between RDW and fT4. CONCLUSION This study confirmed a significant association between RDW and TSH, and future studies are needed to elucidate the underlying mechanisms of the peculiar RDW-fT3 relationship. RDW may be a significant clinical marker of subclinical hypothyroidism.
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Affiliation(s)
- Guowei Zhou
- Department of General Surgery, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Yueqin Ai
- Department of Pneumology, Jinling Hospital, Nanjing, China
| | - Song Guo
- Department of General Surgery, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Quan Chen
- Department of General Surgery, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Xiao Feng
- Department of General Surgery, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Kun Xu
- Department of General Surgery, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Gaoyuan Wang
- Department of General Surgery, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
- *Correspondence: Gaoyuan Wang, ; Chaoqun Ma,
| | - Chaoqun Ma
- Department of General Surgery, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
- *Correspondence: Gaoyuan Wang, ; Chaoqun Ma,
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Kumari S, Wang X, Liu Y, Gu Y, Huang Y, Zhang Q, Liu L, Meng G, Wu H, Sun S, Wang X, Zhou M, Jia Q, Wang G, Song K, Niu K. Height predict incident non-alcoholic fatty liver disease among general adult population in Tianjin, China, independent of body mass index, waist circumference, waist-to-height ratio, and metabolic syndrome. BMC Public Health 2020; 20:388. [PMID: 32209063 PMCID: PMC7092553 DOI: 10.1186/s12889-020-08475-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2019] [Accepted: 03/06/2020] [Indexed: 01/10/2023] Open
Abstract
Background Early-life hormonal and nutritional factors can greatly influence the risk of non-alcoholic fatty liver disease (NAFLD). Adult height is a simple marker for these factors. This study aimed to investigate the association between adult height and NAFLD. Methods We performed a prospective cohort study of 35,994 participants aged 25 years or over with measured height at baseline. NAFLD was diagnosed by abdominal ultrasound and self-reported history of alcohol intake. Multivariable Cox proportional hazards regression models were conducted to assess the gender-specific association between height and the risk of NAFLD. Results During a follow-up period of 5.5 years, 6245 of 35,994 subjects developed NAFLD. The adjusted hazard ratios (95% confidence interval) of NAFLD for increasing quintiles of height were 1.00 (reference), 0.82 (0.73, 0.92), 0.84 (0.73, 0.97), 0.72 (0.61, 0.85) and 0.63 (0.50, 0.79) (P for trend < 0.0001) in males, and 1.00 (reference), 1.00 (reference), 0.80 (0.69, 0.91), 0.72 (0.61, 0.85), 0.60 (0.49, 0.74) and 0.45 (0.35, 0.59) (P for trend < 0.0001) in females, respectively. Conclusions A higher adult height was associated with lower risk of NAFLD among males and females in Tianjin, China.
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Affiliation(s)
- Shubham Kumari
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China
| | - Yunyun Liu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China
| | - Yeqing Gu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China
| | - Yuhan Huang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China
| | - Qing Zhang
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China
| | - Shaomei Sun
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Guolin Wang
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China. .,Health Management Center, Tianjin Medical University General Hospital, Tianjin, China.
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