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Observational Study
. 2024 Apr 2:30:e942509.
doi: 10.12659/MSM.942509.

Predictive Value of Combined HbA1c and Neutrophil-to-Lymphocyte Ratio for Diabetic Peripheral Neuropathy in Type 2 Diabetes

Affiliations
Observational Study

Predictive Value of Combined HbA1c and Neutrophil-to-Lymphocyte Ratio for Diabetic Peripheral Neuropathy in Type 2 Diabetes

Bo Lou et al. Med Sci Monit. .

Abstract

BACKGROUND Diabetic peripheral neuropathy (DPN) is a prevalent complication affecting over 60% of type 2 diabetes patients. Early diagnosis is challenging, leading to irreversible impacts on quality of life. This study explores the predictive value of combining HbA1c and Neutrophil-to-Lymphocyte Ratio (NLR) for early DPN detection. MATERIAL AND METHODS An observational study was conducted at the First People's Hospital of Linping District, Hangzhou spanning from May 2019 to July 2020. Data on sex, age, biochemical measurements were collected from electronic medical records and analyzed. Employing multivariate logistic regression analysis, we sought to comprehend the factors influencing the development of DPN. To assess the predictive value of individual and combined testing for DPN, a receiver operating characteristic (ROC) curve was plotted. The data analysis was executed using R software (Version: 4.1.0). RESULTS The univariate and multivariate logistic regression analysis identified the level of glycated hemoglobin (HbA1C) (OR=1.94, 95% CI: 1.27-3.14) and neutrophil-to-lymphocyte ratio (NLR) (OR=4.60, 95% CI: 1.15-22.62, P=0.04) as significant risk factors for the development of DPN. Receiver operating characteristic (ROC) curve analysis demonstrated that HbA1c, NLR, and their combined detection exhibited high sensitivity in predicting the development of DPN (71.60%, 90.00%, and 97.2%, respectively), with moderate specificity (63.8%, 45.00%, and 50.00%, respectively). The area under the curve (AUC) for these predictors was 0.703, 0.661, and 0.733, respectively. CONCLUSIONS HbA1c and NLR emerge as noteworthy risk indicators associated with the manifestation of DPN in patients with type 2 diabetes. The combined detection of HbA1c and NLR exhibits a heightened predictive value for the development of DPN.

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Conflict of interest statement

Conflict of interest: None declared

Figures

Figure 1
Figure 1
Pairwise comparisons of HDL-C, HbA1c, HOMA-β, and NLR among 3 groups: T2DM+DPN patients, T2DM-only patients, and non-diabetic patients. T2DM – type 2 diabetes mellitus; DPN – diabetic peripheral neuropathy; HDL-C – high density lipoprotein cholesterol; HbA1c – glycated hemoglobin; NLR – neutrophil-to-lymphocyte ratio; HOMA-β – homeostasis model assessment of β-cell function.
Figure 2
Figure 2
ROC curves for individual and combined detection of HbA1c and NLR for prediction of the development of DPN. ROC – receiver operating characteristic; HbA1c – glycated hemoglobin; NLR – neutrophil-to-lymphocyte ratio; DPN – diabetic peripheral neuropathy.

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References

    1. Zakin E, Abrams R, Simpson DM. Diabetic neuropathy. Semin Neurol. 2019;39(5):560–69. - PubMed
    1. Wang W, Ji Q, Ran X, et al. Prevalence and risk factors of diabetic peripheral neuropathy: A population-based cross-sectional study in China. Diabetes Metab Res Rev. 2023;39(8):e3702. - PubMed
    1. Farias ALd, Alves da Silva AS, Tavares VB, et al. Amazon amandaba-prevalence, risk factors and self-care perception associated with diabetic peripheral neuropathy in patients with type 2 diabetes: A cross-sectional study. Healthcare. 2023;11(4):518. - PMC - PubMed
    1. Callaghan BC, Cheng HT, Stables CL, et al. Diabetic neuropathy: Clinical manifestations and current treatments. Lancet Neurol. 2012;11(6):521–34. - PMC - PubMed
    1. Carmichael J, Fadavi H, Ishibashi F, et al. Advances in screening, early diagnosis and accurate staging of diabetic neuropathy. Front Endocrinol. 2021;12:671257. - PMC - PubMed

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