Screening the Influence of Biomarkers for Metabolic Syndrome in Occupational Population Based on the Lasso Algorithm

Abstract

Aim: Metabolic syndrome (MS) screening is essential for the early detection of the occupational population. This study aimed to screen out biomarkers related to MS and establish a risk assessment and prediction model for the routine physical examination of an occupational population.Methods: The least absolute shrinkage and selection operator (Lasso) regression algorithm of machine learning was used to screen biomarkers related to MS. Then, the accuracy of the logistic regression model was further verified based on the Lasso regression algorithm. The areas under the receiving operating characteristic curves were used to evaluate the selection accuracy of biomarkers in identifying MS subjects with risk. The screened biomarkers were used to establish a logistic regression model and calculate the odds ratio (OR) of the corresponding biomarkers. A nomogram risk prediction model was established based on the selected biomarkers, and the consistency index (C-index) and calibration curve were derived.Results: A total of 2,844 occupational workers were included, and 10 biomarkers related to MS were screened. The number of non-MS cases was 2,189 and that of MS was 655. The area under the curve (AUC) value for non-Lasso and Lasso logistic regression was 0.652 and 0.907, respectively. The established risk assessment model revealed that the main risk biomarkers were absolute basophil count (OR: 3.38, CI:1.05–6.85), platelet packed volume (OR: 2.63, CI:2.31–3.79), leukocyte count (OR: 2.01, CI:1.79–2.19), red blood cell count (OR: 1.99, CI:1.80–2.71), and alanine aminotransferase level (OR: 1.53, CI:1.12–1.98). Furthermore, favorable results with C-indexes (0.840) and calibration curves closer to ideal curves indicated the accurate predictive ability of this nomogram.Conclusions: The risk assessment model based on the Lasso logistic regression algorithm helped identify MS with high accuracy in physically examining an occupational population.

Association of Red Blood Cell and Platelet Parameters with Metabolic Syndrome: A Systematic Review and Meta-Analysis of 170,000 Patients

“…Twenty-nine studies 7 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 defined MetS according to the third report of the National Cholesterol Education Program (NCEP-Adult Treatment Panel (ATP III) 40 . Twelve studies 4 41 42 43 44 45 46 47 48 49 50 51 assessed MetS using the International Diabetes Federation (IDF) criteria 52 . Five studies 53 54 55 56 57 used the harmonized criteria 58 .…”

Association of white blood cell parameters with metabolic syndrome: A systematic review and meta-analysis of 168,000 patients

“…Thirty-seven studies [5,11–46] defined MetS according to the third report of the National Cholesterol Education Program-Adult Treatment Panel. [47] Fifteen studies [6,48–61] assessed metabolic syndrome using the International Diabetes Federation criteria. [62] Seven studies [63–69] used the harmonized criteria.…”

Metabolic syndrome and transaminases: systematic review and meta-analysis

“…acted as a judge in case of discrepancy. After sensitivity analysis, two articles [ 19 , 20 ] were eliminated from the qualitative synthesis due to the heterogeneity of the reported data.…”