AccScience Publishing / OTE / Volume 1 / Issue 1 / DOI: 10.36922/ote.7109
ORIGINAL RESEARCH ARTICLE

Hemoglobin-to-red blood cell distribution width ratio as a predictor of cardiovascular and all-cause mortality in osteoarthritis patients

Jinfeng Wen1† Ying Yang2† Pengcheng Gao1† Song Liu2 Qizhang Man3 Yifeng Huang3 Lei Fan4* Li Tao4* Xie Hao4*
Show Less
1 School of Laboratory Medicine and Biotechnology, Southern Medical University, Baiyun District, Guangzhou, Guangdong, China
2 The First School of Clinical Medicine, Southern Medical University, Baiyun District, Guangzhou, Guangdong, China
3 School of Stomatology, Southern Medical University, Baiyun District, Guangzhou, Guangdong, China
4 Division of Orthopaedic Surgery, Department of Orthopaedics, Nanfang Hospital, Southern Medical University, Baiyun District, Guangzhou, Guangdong, China
†These authors contributed equally to this work.
Received: 8 December 2024 | Revised: 22 January 2025 | Accepted: 11 February 2025 | Published online: 28 February 2025
© 2025 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

The hemoglobin-to-red blood cell distribution width ratio (HRR) has been shown to predict outcomes in both cancer and cardiovascular disease (CVD). However, its potential in forecasting mortality rates for osteoarthritis (OA) remains uninvestigated. This study examines the association between HRR and mortality in American OA patients. A prospective cohort study of 3,087 OA patients from the National Health and Nutrition Examination Survey (2001 – 2016) tracked mortality using National Death Index records until 2018. Cox proportional hazards models and Restricted Cubic Spline analysis were utilized to assess the relationship between HRR and mortality from all causes, CVD, and cancer. Receiver operating characteristic (ROC) curves, sensitivity analyses, and stratified analyses identified high-risk individuals and validated the findings. Over 82,097 person-years, 777 deaths were recorded, including 270 from CVD and 141 from cancer. The median HRR was 1.06. Lower HRR values were associated with higher risks of all-cause and CVD mortality in OA patients, even after adjusting for confounding factors. An L-shaped relationship was observed, with mortality rates stabilizing at HRR values of 1.10 for all-cause and 1.083 for CVD. ROC analysis showed that HRR’s area under the curve for predicting mortality was 0.81 for all-cause and 0.80 for CVD. Findings were consistent across analyses. HRR showed L-shaped links to CVD and all-cause mortality in OA patients, with CVD threshold at 1.083 and all-cause at 1.10. HRR is a reliable predictor of mortality in this population, warranting further investigation in large clinical trials.

Keywords
Osteoarthritis
Hemoglobin-to-red blood cell distribution width ratio
Mortality
Cardiovascular diseases
National Health and Nutrition Examination Survey
Funding
None.
Conflict of interest
Lei Fan is an Editorial Board Member of this journal but was not in any way involved in the editorial and peer-review process conducted for this paper, directly or indirectly.
References
  1. Vina ER, Kwoh CK. Epidemiology of osteoarthritis: Literature update. Curr Opin Rheumatol. 2018;30(2):160-167. doi: 10.1097/BOR.0000000000000479

 

  1. Krakowski P, Rejniak A, Sobczyk J, Karpiński R. Cartilage integrity: A review of mechanical and frictional properties and repair approaches in osteoarthritis. Healthcare. 2024;12(16):1648. doi: 10.3390/healthcare12161648

 

  1. Long H, Liu Q, Yin H, et al. Prevalence trends of site‐specific osteoarthritis from 1990 to 2019: Findings from the global burden of disease study 2019. Arthritis Rheumatol. 2022;74(7):1172-1183. doi: 10.1002/art.42089

 

  1. Karpiński R, Krakowski P, Jonak J, Machrowska A, Maciejewski M, Nogalski A. Diagnostics of articular cartilage damage based on generated acoustic signals using ANN-part I: Femoral-tibial joint. Sensors (Basel). 2022;22(6):2176. doi: 10.3390/s22062176

 

  1. Reyes C, Garcia-Gil M, Elorza JM, et al. Socio-economic status and the risk of developing hand, hip or knee osteoarthritis: A region-wide ecological study. Osteoarthritis Cartilage. 2015;23(8):1323-1329. doi: 10.1016/j.joca.2015.03.020

 

  1. Van Buuren MMA, Arden NK, Bierma-Zeinstra SMA, et al. Statistical shape modeling of the hip and the association with hip osteoarthritis: A systematic review. Osteoarthritis Cartilage. 2021;29(5):607-618. doi: 10.1016/j.joca.2020.12.003

 

  1. Sharma L. Osteoarthritis of the knee. N Engl J Med. 2021;384(1):51-59. doi: 10.1056/NEJMcp1903768

 

  1. Chen B, Wang L, Xie D, Wang Y. Exploration and breakthrough in the mode of chondrocyte death - A potential new mechanism for osteoarthritis. Biomed Pharmacother. 2024;170:115990. doi: 10.1016/j.biopha.2023.115990

 

  1. Dieleman JL, Baral R, Birger M, et al. US spending on personal health care and public health, 1996-2013. JAMA. 2016;316(24):2627-2646. doi: 10.1001/jama.2016.16885

 

  1. Sha S, Gwenzi T, Chen LJ, Brenner H, Schöttker B. About the associations of vitamin D deficiency and biomarkers of systemic inflammatory response with all-cause and cause-specific mortality in a general population sample of almost 400,000 UK Biobank participants. Eur J Epidemiol. 2023;38(9):957-971. doi: 10.1007/s10654-023-01023-2

 

  1. Song M, Graubard BI, Rabkin CS, Engels EA. Neutrophil-to-lymphocyte ratio and mortality in the United States general population. Sci Rep. 2021;11(1):464. doi: 10.1038/s41598-020-79431-7

 

  1. Fest J, Ruiter TR, Groot Koerkamp B, et al. The neutrophil-to-lymphocyte ratio is associated with mortality in the general population: The Rotterdam Study. Eur J Epidemiol. 2019;34(5):463-470. doi: 10.1007/s10654-018-0472-y

 

  1. Anand IS, Gupta P. Anemia and iron deficiency in heart failure: Current concepts and emerging therapies. Circulation. 2018;138(1):80-98. doi: 10.1161/CIRCULATIONAHA.118.030099

 

  1. Al‐Najjar Y, Goode KM, Zhang J, Cleland JGF, Clark AL. Red cell distribution width: An inexpensive and powerful prognostic marker in heart failure. Eur J Heart Fail. 2009;11(12):1155-1162. doi: 10.1093/eurjhf/hfp147

 

  1. Su YC, Wen SC, Li CC, et al. Low hemoglobin-to-red cell distribution width ratio is associated with disease progression and poor prognosis in upper tract urothelial carcinoma. Biomedicines. 2021;9(6):672. doi: 10.3390/biomedicines9060672

 

  1. Coradduzza D, Medici S, Chessa C, et al. Assessing the predictive power of the hemoglobin/red cell distribution width ratio in cancer: A systematic review and future directions. Medicina. 2023;59(12):2124. doi: 10.3390/medicina59122124

 

  1. Motta F, Barone E, Sica A, Selmi C. Inflammaging and osteoarthritis. Clin Rev Allergy Immunol. 2023;64(2):222-238. doi: 10.1007/s12016-022-08941-1

 

  1. Yu Z, Zhang T, Shen J. Low hemoglobin-to-red cell distribution width ratio is associated with mortality in patients with HBV-related decompensated cirrhosis. Biomed Res Int. 2022;2022:5754790. doi: 10.1155/2022/5754790

 

  1. Wang J, Chen Z, Yang H, Li H, Chen R, Yu J. Relationship between the hemoglobin-to-red cell distribution width ratio and all-cause mortality in septic patients with atrial fibrillation: Based on propensity score matching method. J Cardiovasc Dev Dis. 2022;9(11):400. doi: 10.3390/jcdd9110400

 

  1. Liu J, Wang J. Association between hemoglobin-to-red blood cell distribution width ratio and hospital mortality in patients with non-traumatic subarachnoid hemorrhage. Front Neurol. 2023;14:1180912. doi: 10.3389/fneur.2023.1180912

 

  1. Liu S, Zhang H, Zhu P, Chen S, Lan Z. Predictive role of red blood cell distribution width and hemoglobin-to-red blood cell distribution width ratio for mortality in patients with COPD: Evidence from NHANES 1999-2018. BMC Pulm Med. 2024;24(1):413. doi: 10.1186/s12890-024-03229-w

 

  1. Chi G, Lee JJ, Montazerin SM, Marszalek J. Prognostic value of hemoglobin-to-red cell distribution width ratio in cancer: A systematic review and meta-analysis. Biomark Med. 2022;16(6):473-482. doi: 10.2217/bmm-2021-0577

 

  1. Sanchez-Lopez E, Coras R, Torres A, Lane NE, Guma M. Synovial inflammation in osteoarthritis progression. Nat Rev Rheumatol. 2022;18(5):258-275. doi: 10.1038/s41584-022-00749-9

 

  1. Scanzello CR, Goldring SR. The role of synovitis in osteoarthritis pathogenesis. Bone. 2012;51(2):249-257. doi: 10.1016/j.bone.2012.02.012

 

  1. Berenbaum F. Osteoarthritis as an inflammatory disease (osteoarthritis is not osteoarthrosis!). Osteoarthritis Cartilage. 2013;21(1):16-21. doi: 10.1016/j.joca.2012.11.012

 

  1. Jin X, Beguerie JR, Zhang W, et al. Circulating C reactive protein in osteoarthritis: A systematic review and meta-analysis. Ann Rheum Dis. 2015;74(4):703-710. doi: 10.1136/annrheumdis-2013-204494

 

  1. Livshits G, Zhai G, Hart DJ, et al. Interleukin‐6 is a significant predictor of radiographic knee osteoarthritis: The Chingford study. Arthritis Rheum. 2009;60(7):2037-2045. doi: 10.1002/art.24598

 

  1. Stannus O, Jones G, Cicuttini F, et al. Circulating levels of IL-6 and TNF-α are associated with knee radiographic osteoarthritis and knee cartilage loss in older adults. Osteoarthritis Cartilage. 2010;18(11):1441-1447. doi: 10.1016/j.joca.2010.08.016

 

  1. Courties A, Sellam J, Maheu E, et al. Coronary heart disease is associated with a worse clinical outcome of hand osteoarthritis: A cross-sectional and longitudinal study. RMD Open. 2017;3(1):e000344. doi: 10.1136/rmdopen-2016-000344

 

  1. Salvagno GL, Sanchis-Gomar F, Picanza A, Lippi G. Red blood cell distribution width: A simple parameter with multiple clinical applications. Crit Rev Clin Lab Sci. 2015;52(2):86-105. doi: 10.3109/10408363.2014.992064

 

  1. Gorelik O, Izhakian S, Barchel D, et al. Changes in red cell distribution width during hospitalization for community-acquired pneumonia: Clinical characteristics and prognostic significance. Lung. 2016;194(6):985-995. doi: 10.1007/s00408-016-9942-8

 

  1. Shin JH, Kim HJ, Lee CY, Chang HJ, Woo KA, Jeon B. Laboratory prognostic factors for the long-term survival of multiple system atrophy. NPJ Parkinsons Dis. 2022;8(1):141. doi: 10.1038/s41531-022-00413-9

 

  1. Friedman JS, Lopez MF, Fleming MD, et al. SOD2-deficiency anemia: Protein oxidation and altered protein expression reveal targets of damage, stress response, and antioxidant responsiveness. Blood. 2004;104(8):2565-2573. doi: 10.1182/blood-2003-11-3858

 

  1. Jelkmann I, Jelkmann W. Impact of erythropoietin on intensive care unit patients. Transfus Med Hemother. 2013;40(5):310-318. doi: 10.1159/000354128

 

  1. Putcha N, Fawzy A, Paul GG, et al. Anemia and adverse outcomes in a chronic obstructive pulmonary disease population with a high burden of comorbidities. An analysis from SPIROMICS. Ann Am Thorac Soc. 2018;15(6):710-717. doi: 10.1513/AnnalsATS.201708-687OC

 

  1. Balasubramanian A, Henderson RJ, Putcha N, et al. Haemoglobin as a biomarker for clinical outcomes in chronic obstructive pulmonary disease. ERJ Open Res. 2021;7(3):00068-2021. doi: 10.1183/23120541.00068-2021

 

  1. Hooiveld M, Roosendaal G, Wenting M, van den Berg M, Bijlsma J, Lafeber F. Short-term exposure of cartilage to blood results in chondrocyte apoptosis. Am J Pathol. 2003;162(3):943. doi: 10.1016/S0002-9440(10)63889-8

 

  1. Wang Y, Nguyen USDT, Lane NE, et al. Knee osteoarthritis, potential mediators, and risk of all-cause mortality: Data from the Osteoarthritis Initiative. Arthritis Care Res. 2021;73(4):566. doi: 10.1002/acr.24151

 

  1. Turkiewicz A, Kiadaliri AA, Englund M. Cause-specific mortality in osteoarthritis of peripheral joints. Osteoarthritis Cartilage. 2019;27(6):848-854. doi: 10.1016/j.joca.2019.02.793

 

  1. Arruda AL, Hartley A, Katsoula G, Smith GD, Morris AP, Zeggini E. Genetic underpinning of the comorbidity between type 2 diabetes and osteoarthritis. Am J Hum Genet. 2023;110(8):1304. doi: 10.1016/j.ajhg.2023.06.010
Share
Back to top
Orthopedics and Tissue Engineering, Published by AccScience Publishing