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Influencing factors of metabolic syndrome and application value of neutrophil / lymphocyte ratio in metabolic syndrome#br# |
DING Leilei1 JIA Chengpu2 FU Li1 LI Li1 WANG Tingting1▲ |
1.International Medical Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China;
2.Department of Orthopedic and General Surgery, Nanyuan Hospital of Beijing Fengtai District, Beijing 100076, China |
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Abstract Objective To investigate the influencing factors of metabolic syndrome (MS) and application value of neutrophil/lymphocyte ratio (NLR) in MS. Methods A total of 968 physical examination subjects in Beijing Friendship Hospital, Capital Medical University from January 2018 to January 2019 were selected as the subjects. They were divided into MS group (241 cases) and non-MS group (727 cases) according to whether they had MS. The differences of clinical data and laboratory indicators between the two groups were observed, the correlation between NLR and MS metabolic indicators was analyzed by Pearson correlation coefficient, the influencing factors of MS were analyzed by logistic regression model, and the diagnostic efficacy of NLR for MS was evaluated by receiver operating characteristic (ROC) curve. Results In MS group, age, male proportion, smoking proportion, alcohol consumption proportion, body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), triglyceride (TG), low density lipoprotein cholesterol (LDL-C), fasting blood glucose (FBG), glycosylated hemoglobin (HbA1c), uric acid (UA), hypersensitive C-reactive protein (hs-CRP), NLR were higher than those of non-MS group, and high density lipoprotein cholesterol (HDL-C) was lower than that in non-MS group, and the differences were statistically significant (P < 0.05). Correlation analysis showed that NLR was positively correlated with metabolic indicators of MS patients including BMI, SBP, DBP, FBG, HbA1c, TG, UA, and hs-CRP (r > 0, P < 0.05), and negatively correlated with HDL-C (r < 0, P < 0.05), after adjusting for gender, age, smoking history, and alcohol history, the above correlation still existed (adjusted P < 0.05). Analysis of influencing factors showed that advanced age, high BMI, high SBP, high DBP, high TG, high FBG, and high NLR were independent risk factors for MS (OR > 1, P < 0.05), while female and high HDL-C were protective factors (OR < 1, P < 0.05). ROC curve showed that the area under the curve of NLR for diagnostic MS was 0.745 (P < 0.05). Conclusion The occurrence of MS is affected by age, gender, and a variety of metabolic factors. NLR is closely related to MS, which has certain diagnostic value for MS.
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