Dynamic behavior of metabolic syndrome progression: a comprehensive systematic review on recent discoveries

BMC Endocrine Disorders

Abbas Rezaianzadeh¹  Mozhgan Seif²  Davood Khalili³  Pezhman Bagheri⁴ 

[1]Colorectal research center, Shiraz University of Medical Sciences, Shiraz, Iran

[2]Department of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran

[3]Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran

[4]Department of Biostatistics and Epidemiology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran

[5]Student research committee, Shiraz University of Medical Sciences, Shiraz, Iran

关键词: Metabolic syndrome;    Natural history;    Disease progression;    Dynamics;   

DOI  :  10.1186/s12902-021-00716-7

来源: Springer

【 摘 要 】

BackgroundThe assessment of the natural history of metabolic syndrome (MetS) has an important role in clarifying the pathways of this disorder.ObjectiveThis study purposed to provide a rational statistical view of MetS progression pathway.MethodsWe performed a systematic review in accordance with the PRISMA Statement until September 2019 in the Medline/PubMed, Scopus, Embase, Web of Science and Google Scholar databases. From the 68 found studies, 12 studies were eligible for review finally.ResultsThe selected studies were divided in 2 groups with Markovian and non-Markovian approach. With the Markov approach, the most important trigger for the MetS chain was dyslipidemia with overweight/obesity in the under-50 and with hypertension in the over-50 age group, where overweight/obesity was more important in women and hypertension in men. In non-Markov approach, the most common trigger was hypertension. Transition probability (TP) from no component to MetS were higher in all Markovian studies in men than in women. In the Markovians the combination of dyslipidemia with overweight/obesity and in non-Markovians, hyperglycemia with overweight/obesity were the most common combinations. Finally, the most important components, which predict the MetS, were 2-component states and hyperglycemia in Markovian approach and overweight/obesity in non-Markovians.ConclusionsAmong the components of the MetS, dyslipidemia and hypertension seems to be the main developer components in natural history of the MetS. Also, in this chain, the most likely combination over time that determines the future status of people seems to be the combination of dyslipidemia with obesity or hyperglycemia. However, more research is needed.

【 授权许可】

CC BY