Cargando…

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

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 recent...

Descripción completa

Detalles Bibliográficos
Autores principales: Song, Yi, Zhao, Ying, Shu, Yan, Zhang, Liyin, Cheng, Wenzhuo, Wang, Li, Shu, Meng, Xue, Baorui, Wang, Ruonan, Feng, Ziyun, Yin, Yao, Yu, Fangyang, Jin, Si
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978802/
https://www.ncbi.nlm.nih.gov/pubmed/36875480
http://dx.doi.org/10.3389/fendo.2023.1100453
_version_ 1784899598187233280
author Song, Yi
Zhao, Ying
Shu, Yan
Zhang, Liyin
Cheng, Wenzhuo
Wang, Li
Shu, Meng
Xue, Baorui
Wang, Ruonan
Feng, Ziyun
Yin, Yao
Yu, Fangyang
Jin, Si
author_facet Song, Yi
Zhao, Ying
Shu, Yan
Zhang, Liyin
Cheng, Wenzhuo
Wang, Li
Shu, Meng
Xue, Baorui
Wang, Ruonan
Feng, Ziyun
Yin, Yao
Yu, Fangyang
Jin, Si
author_sort Song, Yi
collection PubMed
description 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.
format Online
Article
Text
id pubmed-9978802
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-99788022023-03-03 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 Song, Yi Zhao, Ying Shu, Yan Zhang, Liyin Cheng, Wenzhuo Wang, Li Shu, Meng Xue, Baorui Wang, Ruonan Feng, Ziyun Yin, Yao Yu, Fangyang Jin, Si Front Endocrinol (Lausanne) Endocrinology 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. Frontiers Media S.A. 2023-02-16 /pmc/articles/PMC9978802/ /pubmed/36875480 http://dx.doi.org/10.3389/fendo.2023.1100453 Text en Copyright © 2023 Song, Zhao, Shu, Zhang, Cheng, Wang, Shu, Xue, Wang, Feng, Yin, Yu and Jin https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Song, Yi
Zhao, Ying
Shu, Yan
Zhang, Liyin
Cheng, Wenzhuo
Wang, Li
Shu, Meng
Xue, Baorui
Wang, Ruonan
Feng, Ziyun
Yin, Yao
Yu, Fangyang
Jin, Si
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978802/
https://www.ncbi.nlm.nih.gov/pubmed/36875480
http://dx.doi.org/10.3389/fendo.2023.1100453
work_keys_str_mv AT songyi combinationmodelofneutrophiltohighdensitylipoproteinratioandsysteminflammationresponseindexismorevaluableforpredictingperipheralarterialdiseaseintype2diabeticpatientsacrosssectionalstudy
AT zhaoying combinationmodelofneutrophiltohighdensitylipoproteinratioandsysteminflammationresponseindexismorevaluableforpredictingperipheralarterialdiseaseintype2diabeticpatientsacrosssectionalstudy
AT shuyan combinationmodelofneutrophiltohighdensitylipoproteinratioandsysteminflammationresponseindexismorevaluableforpredictingperipheralarterialdiseaseintype2diabeticpatientsacrosssectionalstudy
AT zhangliyin combinationmodelofneutrophiltohighdensitylipoproteinratioandsysteminflammationresponseindexismorevaluableforpredictingperipheralarterialdiseaseintype2diabeticpatientsacrosssectionalstudy
AT chengwenzhuo combinationmodelofneutrophiltohighdensitylipoproteinratioandsysteminflammationresponseindexismorevaluableforpredictingperipheralarterialdiseaseintype2diabeticpatientsacrosssectionalstudy
AT wangli combinationmodelofneutrophiltohighdensitylipoproteinratioandsysteminflammationresponseindexismorevaluableforpredictingperipheralarterialdiseaseintype2diabeticpatientsacrosssectionalstudy
AT shumeng combinationmodelofneutrophiltohighdensitylipoproteinratioandsysteminflammationresponseindexismorevaluableforpredictingperipheralarterialdiseaseintype2diabeticpatientsacrosssectionalstudy
AT xuebaorui combinationmodelofneutrophiltohighdensitylipoproteinratioandsysteminflammationresponseindexismorevaluableforpredictingperipheralarterialdiseaseintype2diabeticpatientsacrosssectionalstudy
AT wangruonan combinationmodelofneutrophiltohighdensitylipoproteinratioandsysteminflammationresponseindexismorevaluableforpredictingperipheralarterialdiseaseintype2diabeticpatientsacrosssectionalstudy
AT fengziyun combinationmodelofneutrophiltohighdensitylipoproteinratioandsysteminflammationresponseindexismorevaluableforpredictingperipheralarterialdiseaseintype2diabeticpatientsacrosssectionalstudy
AT yinyao combinationmodelofneutrophiltohighdensitylipoproteinratioandsysteminflammationresponseindexismorevaluableforpredictingperipheralarterialdiseaseintype2diabeticpatientsacrosssectionalstudy
AT yufangyang combinationmodelofneutrophiltohighdensitylipoproteinratioandsysteminflammationresponseindexismorevaluableforpredictingperipheralarterialdiseaseintype2diabeticpatientsacrosssectionalstudy
AT jinsi combinationmodelofneutrophiltohighdensitylipoproteinratioandsysteminflammationresponseindexismorevaluableforpredictingperipheralarterialdiseaseintype2diabeticpatientsacrosssectionalstudy