Is Red Blood Cell Distribution Width Predictive of Fatigue After Acute Myocardial Infarction to Improve Nursing Care?

Yasaman Borghei, Bahare Gholami Chaboki, Nasibe Goli, Aseme Pourrajabi,, Samira Arami, Arsalan Salari

Abstract


Background: Red blood cell Distribution Width (RDW) can help diagnose blood diseases and predict mortality in heart disease. Fatigue is one of the common symptoms of Acute Myocardial Infarction (AMI) and can affect the quality of life of patients. This study aimed to investigate the link between RDW at admission and fatigue severity 2 weeks after AMI.

Materials and Methods: This cross‑sectional study examined 250 consecutive patients with AMI during 2023–2024. The patients were assessed for RDW and other laboratory and demographic variables within 24 h of admission. The Fatigue Severity Scale (FSS), which is a 9‑item and 7‑point scale, was completed for patients. A score >36 was considered as Post‑AMI Fatigue (PAF) and lower as non‑PAF. Data analysis was performed by SPSS version 22 and R version 4.2.2 software.

Results: Our findings indicated that 71.20% of patients experienced fatigue after AMI. There were no significant differences between age, gender, laboratory parameters, past medical history, underlying diseases, and blood pressure of patients with and without fatigue (p > 0.05). RDW distribution for non‑PAF and PAF was 13.30% [12.50, 14.60%] and 13.30% [12.80, 14.00%], respectively, (p = 0.726). Multivariable regression results based on three models did not show any significant findings.

Conclusions: The present study is the first study, designed to determine the predictive value of RDW on post‑AMI fatigue, as far as we searched the recent literature. We did not find any significant relation between RDW and PAF. Therefore, it cannot be used to predict fatigue in patients with AMI until definitive results are found.

 


Keywords


Biomarkers, fatigue, myocardial infarction, red cell distribution width

Full Text:

PDF

References


Yu X‑S, Chen Z‑Q, Hu Y‑F, Chen J‑C, Xu W‑W, Shu J, et al. Red blood cell distribution width is associated with mortality risk in patients with acute respiratory distress syndrome based on the Berlin definition: A propensity score matched cohort study. Heart Lung 2020;49:641‑5.

Chen M, Liao L, Yan J, Lin F‑Q. Predictive value of red blood cell distribution width for 1‑year all‑cause mortality in critically ill patients with acute myocardial infarction. Int J Gen Med 2022;15:465‑71.

Valenti AC, Vitolo M, Imberti JF, Malavasi VL, Boriani G. Red cell distribution width: A routinely available biomarker with important clinical implications in patients with atrial fibrillation. Curr Pharm Des 2021;27:3901‑12.

Ye W‑Y, Li J, Li X, Yang X‑Z, Weng Y‑Y, Xiang W‑W, et al. Predicting the one‑year prognosis and mortality of patients with acute ischemic stroke using red blood cell distribution width before intravenous thrombolysis. Clin Interv Aging 2020;15:255‑63.

Borghei Y, Moghadamnia MT, Sigaroudi AE, Ghanbari A. Association between climate variables (cold and hot weathers, humidity, atmospheric pressures) with out‑of‑hospital cardiac arrests in Rasht, Iran. J Therm Biol 2020;93:102702.

Moghadamnia MT, Borghei Y, Amini S, Maroufizadeh S. The cardiopulmonary resuscitation success rate and its related factors in patients referred to Dr. Heshmat Hospital in Rasht, Iran. J Guilan Univ Med Sci 2022;31:62‑73.

Blakeman JR. An integrative review of the theory of unpleasant symptoms. J Adv Nurs 2019;75:946‑61.

Lenaert B, van Kampen N, van Heugten C, Ponds R. Real‑time measurement of post‑stroke fatigue in daily life and its relationship with the retrospective Fatigue Severity Scale. Neuro Rehabil 2022;32:992‑1006.

Saha AK, Schmidt BR, Wilhelmy J, Nguyen V, Abugherir A, Do JK, et al. Red blood cell deformability is diminished in patients with Chronic Fatigue Syndrome. Clin Hemorheol Microcirc 2019;71:113‑6.

Karadas C, Oksul M, Ozer N, Ozdemir L. Effects of daily mindfulness practice on fatigue, kinesiophobia, and quality of life in patients with acute myocardial infarction: A randomized controlled trial. Eur Heart J Acute Cardiovasc Care 2021;10(Suppl 1):zuab020.138.

Bagherian‑Sararoudi R, Maracy M, Sanei H, Shiri M. Factors in relation with fatigue and illness perception in patients with myocardial infarction and the changes in fatigue due to intervention on illness perception: Research design, methodology, and preliminary results. Arya Atheroscler 2019;15:74‑81.

Shi Y, Shi L, Chen F, Jiang Z, Sheng K. Association of red cell distribution width and its changes with the 30‑day mortality in patients with acute respiratory failure: An analysis of MIMIC‑IV database. PLoS One 2023;18:e0293986.

Peng M, Chen Y, Chen Y, Feng K, Shen H, Huang H, et al. The relationship between red blood cell distribution width at admission and post‑stroke fatigue in the acute phase of acute ischemic stroke. Front Neurol 2022;13:922823.

A’zimiyan M, Fallah‑Pour M, Karimlou M. Fatigue Severity Scale (FSS): Evaluation of reliability of the Persian version among persons with multiple sclerosis. Arch Rehab 2010;10:1.

Crane PB, Efird JT, Abel WM. Fatigue in older adults postmyocardial infarction. Front Public Health 2016;4:55.

Horne CE, Johnson S, Crane PB. Comparing comorbidity measures and fatigue post myocardial infarction. Appl Nurs Res 2019;45:1‑5.

Jiao J, Song J, Cui Y, Wang Y, Li Y, Li J, et al. Correlation analysis of fatigue with sleep disturbance, depression and anxiety in elderly patients with myocardial infarction. Pak J Zool 2023;56.

Wincup C, Parnell C, Cleanthous S, Segura BT, Nguyen MH, Bryant K, et al. Red cell distribution width correlates with fatigue levels in a diverse group of patients with systemic lupus erythematosus irrespective of anaemia status. Clin Exp Rheumatol 2019;37:852‑4.

Broadbent S, Coutts R. Irregularities in red cell distribution width and lymphocyte concentration in individuals with chronic fatigue syndrome. Int J Health Res 2015;3:71‑8.

Badrick T, Richardson AM, Arnott A, Lidbury BA. The early detection of anaemia and aetiology prediction through the modelling of red cell distribution width (RDW) in cross‑sectional community patient data. Diagnosis 2015;2:171‑9.

Wang H, Liu Y, Zhao J, Guo X, Hu M, Chen Y. Possible inflammatory mechanisms and predictors of Parkinson’s disease patients with fatigue (brief review). Clin Neurol Neurosurg 2021;208:106844.


Refbacks

  • There are currently no refbacks.