Combination model of neutrophil to high-density lipoprotein ratio and system inflammation response index is more valuable for predicting peripheral arterial disease in type 2 diabetic patients: A cross-sectional study

Yi Song; Ying Zhao; Yan Shu; Liyin Zhang; Wenzhuo Cheng; Li Wang; Meng Shu; Baorui Xue; Ruonan Wang; Ziyun Feng; Yao Yin; Fangyang Yu; Si Jin

doi:10.3389/fendo.2023.1100453

Combination model of neutrophil to high-density lipoprotein ratio and system inflammation response index is more valuable for predicting peripheral arterial disease in type 2 diabetic patients: A cross-sectional study

Front Endocrinol (Lausanne). 2023 Feb 16:14:1100453. doi: 10.3389/fendo.2023.1100453. eCollection 2023.

Authors

Yi Song¹, Ying Zhao², Yan Shu¹, Liyin Zhang¹, Wenzhuo Cheng¹, Li Wang¹, Meng Shu¹, Baorui Xue¹, Ruonan Wang¹, Ziyun Feng¹, Yao Yin¹, Fangyang Yu¹, Si Jin¹

Affiliations

¹ Department of Endocrinology, Institute of Geriatric Medicine, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
² Geriatric Medicine Center, Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Department of Endocrinology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China.

Abstract

Background: Neutrophil/high-density lipoprotein (HDL) ratio (NHR), monocyte/HDL ratio (MHR), lymphocyte/HDL ratio (LHR), platelet/HDL ratio (PHR), systemic immune-inflammation index (SII), system inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI) have been recently investigated as novel inflammatory markers. Herein, the correlation was investigated between these inflammatory biomarkers and peripheral arterial disease (PAD) in type 2 diabetes mellitus (T2DM) patients.

Methods: In this retrospective observational study, the hematological parameter data of 216 T2DM patients without PAD (T2DM-WPAD) and 218 T2DM patients with PAD (T2DM-PAD) at Fontaine stages II, III or IV stage had been collected. Differences in NHR, MHR, LHR, PHR, SII, SIRI, and AISI were analyzed, and receiver operating characteristic (ROC) curves were used to analyze the diagnostic potential of these parameters.

Results: The levels of NHR, MHR, PHR, SII, SIRI and AISI in T2DM-PAD patients were significantly higher than in T2DM-WPAD patients (P < 0.001). They were correlated with disease severity. Further, multifactorial logistic regression analyses showed that higher NHR, MHR, PHR, SII, SIRI, and AISI might be independent risk factors for T2DM-PAD (P < 0.001). The areas under the curve (AUCs) of the NHR, MHR, PHR, SII, SIRI, and AISI for T2DM-PAD patients was 0.703, 0.685, 0.606, 0.648, 0.711, and 0.670, respectively. The AUC of the NHR and SIRI combined model was 0.733.

Conclusion: The levels of NHR, MHR, PHR, SII, SIRI, and AISI were higher in T2DM-PAD patients, and they were independently linked with its clinical severity. The combination model of NHR and SIRI was most valuable for predicting T2DM - PAD.

Keywords: biomarker; inflammation; lipid metabolism; peripheral artery disease; type 2 diabetes.

Publication types

Observational Study
Research Support, Non-U.S. Gov't

MeSH terms

Cross-Sectional Studies
Diabetes Mellitus, Type 2*
Humans
Inflammation
Lipoproteins, HDL
Neutrophils
Peripheral Arterial Disease*

Substances

Lipoproteins, HDL

Grants and funding

This work was supported by the National Key & R&D Program of China to SJ (No. 2020YFC2008900) and the grants from the National Natural Science Foundation of China to SJ (No. 82070862).