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

• Main Authors: Pezhman Bagheri, Davood Khalili, Mozhgan Seif, Abbas Rezaianzadeh
• Format: Article
• Language: English
• Published: BMC 2021-03-01
• Series: BMC Endocrine Disorders
• Subjects: Metabolic syndrome; Natural history; Disease progression; Dynamics
• Online Access: https://doi.org/10.1186/s12902-021-00716-7

Abstract Background The assessment of the natural history of metabolic syndrome (MetS) has an important role in clarifying the pathways of this disorder. Objective This study purposed to provide a rational statistical view of MetS progression pathway. Methods We 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. Results The 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. Conclusions Among 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.