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多状态马尔可夫模型在中国老年人群体血压转变中的应用:一项定量纵向研究。

Multistate Markov model application for blood pressure transition among the Chinese elderly population: a quantitative longitudinal study.

机构信息

Health Science Center, Shenzhen University, Shenzhen, China.

Nephrology, The Second Affiliated Hospital of Xiamen Medical College, Xiamen, Fujian, China.

出版信息

BMJ Open. 2022 Jul 14;12(7):e059805. doi: 10.1136/bmjopen-2021-059805.

Abstract

OBJECTIVE

To explore the transitions of different blood pressure states based on a multistate Markov model among the Chinese elderly population.

SETTING

A community health centre in Xiamen, China.

PARTICIPANTS

1833 elderly Chinese people.

METHODS

A multistate Markov model was built based on 5001 blood pressure measurements from 2015 to 2020. Research was conducted to explore the process of hypertension progression, providing information on the transition probability, HR and the mean sojourn time in three blood pressure states, namely normal state, elevated state and hypertensive state.

RESULTS

Probabilities of moving from the normal state to the hypertensive state in the first year were 16.97% (female) and 21.73% (male); they increased dramatically to 47.31% (female) and 51.70% (male) within a 3-year follow-up period. The sojourn time in the normal state was 1.5±0.08 years. Elderly women in the normal state had a 16.97%, 33.30% and 47.31% chance of progressing to hypertension within 1, 2 and 3 years, respectively. The corresponding probabilities for elderly men were 21.73%, 38.56% and 51.70%, respectively. For elderly women starting in the elevated state, the probabilities of developing hypertension were 25.07%, 43.03% and 56.32% in the next 1, 2 and 3 years, respectively; while the corresponding changes for elderly men were 20.96%, 37.65% and 50.86%. Increasing age, body mass index (BMI) and glucose were associated with the probability of developing hypertension from the normal state or elevated state.

CONCLUSIONS

Preventive actions against progression to hypertension should be conducted at an early stage. More awareness should be paid to elderly women with elevated state and elderly men with normal state. Increasing age, BMI and glucose were critical risk factors for developing hypertension. The derived transition probabilities and sojourn time can serve as a significant reference for making targeted interventions for hypertension progression among the Chinese elderly population.

摘要

目的

基于多状态马尔可夫模型探讨中国老年人群的不同血压状态变化。

背景

中国厦门某社区卫生服务中心。

参与者

1833 名中国老年人。

方法

基于 2015 年至 2020 年的 5001 次血压测量结果,建立多状态马尔可夫模型。研究旨在探索高血压进展过程,提供有关正常状态、升高状态和高血压状态下的转移概率、HR 和平均停留时间的信息。

结果

在第 1 年,从正常状态转变为高血压状态的概率分别为女性 16.97%(16.97%)和男性 21.73%(21.73%);在 3 年的随访期间,这一概率急剧增加至女性 47.31%(47.31%)和男性 51.70%(51.70%)。正常状态的停留时间为 1.5±0.08 年。正常状态下的老年女性在 1、2 和 3 年内分别有 16.97%、33.30%和 47.31%的机会进展为高血压。相应的男性概率分别为 21.73%、38.56%和 51.70%。对于从升高状态开始的老年女性,在接下来的 1、2 和 3 年内发展为高血压的概率分别为 25.07%、43.03%和 56.32%;而相应的男性变化分别为 20.96%、37.65%和 50.86%。年龄增长、体重指数(BMI)和血糖与从正常状态或升高状态发展为高血压的概率相关。

结论

应在早期阶段采取预防措施来防止进展为高血压。应更加关注处于升高状态的老年女性和处于正常状态的老年男性。年龄增长、BMI 和血糖是发展为高血压的关键危险因素。所得到的转移概率和停留时间可作为针对中国老年人群高血压进展进行有针对性干预的重要参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5048/9289040/33e95dabc6b4/bmjopen-2021-059805f01.jpg

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