Clinical significance of neutrophil gelatinase-associated lipocalin and sdLDL-C for coronary artery disease in patients with type 2 diabetes mellitus aged ≥ 65 years
Angiology
Neutrophil gelatinase-associated lipocalin
Clinical Significance
DOI:
10.1186/s12933-022-01668-5
Publication Date:
2022-11-17T21:03:11Z
AUTHORS (10)
ABSTRACT
Abstract Background and aims Although type 2 diabetes mellitus (T2DM) coronary artery disease (CAD) share many common pathological physiological characteristics, there are few studies assessing the predictive capacity of novel biomarkers in occurrence development CAD T2DM patients aged ≥ 65 years. In addition, years prone to CAD. Therefore, it is great significance find for T2DM. Methods this retrospective cohort study, 579 were consecutively enrolled work, 177 whom had major adverse cardiovascular cerebrovascular events (MACCE: or death, acute syndrome, stent implantation, stroke) during follow up. Univariate multivariate factors employed analyze correlation between each variable MACCE, Spearman’s rank analysis was performed assess relationships Neutrophil gelatinase-associated lipocalin (NGAL) small dense low-density lipoprotein-cholesterol (LDL-C) (sdLDL-C). The receiver operating characteristic (ROC) curve adopted determine value NGAL sdLDL-C elevation MACCE Results After a median 48 months follow-up [19, (10 ~ 32) ], levels NGAL, sdLDL-C, hemoglobin A1c (HbA1c), LDL-C, apolipoprotein B (ApoB) significantly higher while those high-density lipoprotein cholesterol (HDL-C) A I (ApoA–I) lower positive group. correlated body mass index (BMI) (r = 0.391, P 0.001) triglyceride (TG) 0.228, 0.032), high-sensitivity CRP (hsCRP) 0.251, 0.007), neutrophils 0.454, 0.001), sdlDL–C level found be positively with LDL-C 0.413, TG 0.432, ApoB 0.232, 0.002); negatively HDL-C -0.362, 0.031) ApoA–I -0.402, 0.001). Age-adjusted Cox regression showed that (HR 1.006, 95% confidence interval ( CI ): 1.005–1.008, < sdLDL–C 1.052, : 1.037–1.066, independently associated MACCE. ROC (area under (AUC) 0.79, 0.75–0.84, (AUC 0.76, 0.72–0.80, could predict ROC. combined well 0.87, 0.84–0.90, Conclusion risk clinical values than other lipid chronic inflammation, so they expected most effective predictors assessment.
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