Ray Lopamudra, Ravichandran Kandasamy, Nanda Sunil Kumar
1 Department of Biochemistry, Pondicherry Institute of Medical Sciences , Pondicherry, India .
2 Department of Biostatistics, Pondicherry Institute of Medical Sciences , Pondicherry, India .
Metab Syndr Relat Disord. 2018 Jun;16(5):240-245. doi: 10.1089/met.2017.0119. Epub 2018 Apr 12.
Metabolic syndrome (MetS), which confers a high risk for cardiovascular diseases, needs early diagnosis and treatment to reduce morbidity and mortality. Lipid accumulation product index has been reported to be an inexpensive marker of visceral fat and metabolic syndrome. This study aimed to evaluate lipid accumulation product index as a marker for metabolic syndrome in the Indian population where the prevalence of the condition is steadily increasing.
A hospital-based, case-control study was conducted with 72 diagnosed cases of metabolic syndrome and 79 control subjects. In all the participants, body mass index (BMI) and lipid accumulation product index were calculated. The difference between cases and controls in BMI, waist circumference (WC), and lipid accumulation product index was assessed by Mann-Whitney U test/unpaired t-test. Associations of BMI, WC, and lipid accumulation product index with metabolic syndrome were compared by multiple logistic regression analysis and receiver operating characteristic analysis.
BMI, WC, and lipid accumulation product index were significantly higher in metabolic syndrome (P < 0.05). Although all were independently associated with metabolic syndrome, lipid accumulation product index had the highest prediction accuracy. The parameter also had a high area under curve of 0.901 (95% confidence interval 0.85-0.95) and a high sensitivity (76.4%), specificity (91.1%), positive predictive value (88.7%), and negative predictive value (80.9%) for detection of metabolic syndrome.
In the Indian population, lipid accumulation product index is a better predictor of metabolic syndrome compared to BMI and WC and should be incorporated in laboratory reports as early, accurate, and inexpensive indicator of metabolic syndrome.
代谢综合征（MetS）会增加心血管疾病的风险，需要早期诊断和治疗以降低发病率和死亡率。据报道，脂质蓄积产物指数是内脏脂肪和代谢综合征的廉价标志物。本研究旨在评估脂质蓄积产物指数作为印度人群代谢综合征标志物的情况，该疾病在印度的患病率正在稳步上升。
开展了一项基于医院的病例对照研究，纳入72例确诊的代谢综合征患者和79例对照者。计算所有参与者的体重指数（BMI）和脂质蓄积产物指数。通过Mann-Whitney U检验/非配对t检验评估病例组和对照组在BMI、腰围（WC）和脂质蓄积产物指数方面的差异。通过多元逻辑回归分析和受试者工作特征分析比较BMI、WC和脂质蓄积产物指数与代谢综合征的相关性。
代谢综合征患者的BMI、WC和脂质蓄积产物指数显著更高（P < 0.05）。尽管三者均与代谢综合征独立相关，但脂质蓄积产物指数具有最高的预测准确性。该参数的曲线下面积也很高，为0.901（95%置信区间0.85 - 0.95），检测代谢综合征的敏感性高（76.4%）、特异性高（91.1%）、阳性预测值高（88.7%）和阴性预测值高（80.9%）。
在印度人群中，与BMI和WC相比，脂质蓄积产物指数是代谢综合征更好的预测指标，应作为代谢综合征的早期、准确且廉价的指标纳入实验室报告。
