Khanmohammadi Shaghayegh, Tavolinejad Hamed, Aminorroaya Arya, Rezaie Yasaman, Ashraf Haleh, Vasheghani-Farahani Ali
School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
J Diabetes Metab Disord. 2022 Aug 30;21(2):1943-1973. doi: 10.1007/s40200-022-01114-z. eCollection 2022 Dec.
Novel anthropometric measures are simple, applicable, and inexpensive tools for cardiovascular risk assessment. This study evaluates the association of lipid accumulation product (LAP) with hypertension, type 2 diabetes mellitus (T2DM), and all-cause mortality, and compares it with other anthropometric measures.
PubMed, Web of Science, EMBASE, and Scopus were systematically searched for articles published until May 15, 2021. We included all the studies that had measured LAP predictability for T2DM, all-cause mortality, and hypertension with no limitation in comorbidities and follow-up duration. We assessed the predictability measures of LAP for the aforementioned outcomes. We also performed a meta-analysis on four articles on mortality using an inverse variance method by the "meta" package in R software.
Twenty-nine studies were included in the review after applying the eligibility criteria. The hazard ratio for all-cause mortality per one standard deviation increment of LAP was 1.24 (95% confidence interval [CI]: 1.00-1.53; P = 0.0463) in females, and 1.07 (95% CI: 0.74-1.57; P = 0.709) in males. All included studies found a direct association between LAP with T2DM and hypertension. However, studies used different cut-off points for LAP. Most studies found that LAP was superior in predicting T2DM and hypertension compared to conventional indices, e.g., body mass index and waist circumference. We found that LAP may have higher prognostic significance in females compared to males.
LAP is an inexpensive method to evaluate the risk of all-cause mortality, T2DM, and hypertension, and could outperform conventional anthropometric indices in this regard.
The online version contains supplementary material available at 10.1007/s40200-022-01114-z.
新型人体测量指标是用于心血管风险评估的简单、适用且廉价的工具。本研究评估脂质蓄积产物（LAP）与高血压、2型糖尿病（T2DM）及全因死亡率的关联，并将其与其他人体测量指标进行比较。
系统检索了截至2021年5月15日在PubMed、科学网、EMBASE和Scopus上发表的文章。我们纳入了所有测量LAP对T2DM、全因死亡率和高血压预测能力的研究，对合并症和随访时间无限制。我们评估了LAP对上述结局的预测指标。我们还使用R软件中的“meta”包，采用逆方差法对四篇关于死亡率的文章进行了荟萃分析。
应用纳入标准后，该综述纳入了29项研究。LAP每增加一个标准差，女性全因死亡率的风险比为1.24（95%置信区间[CI]：1.00 - 1.53；P = 0.0463），男性为1.07（95% CI：0.74 - 1.57；P = 0.709）。所有纳入研究均发现LAP与T2DM和高血压之间存在直接关联。然而，各研究对LAP使用了不同的截断点。大多数研究发现，与传统指标如体重指数和腰围相比，LAP在预测T2DM和高血压方面更具优势。我们发现，与男性相比，LAP在女性中可能具有更高的预后意义。
LAP是评估全因死亡率、T2DM和高血压风险的廉价方法，在这方面可能优于传统人体测量指标。
在线版本包含可在10.1007/s40200 - 022 - 01114 - z获取的补充材料。
