{"title":"中老年人使用质子泵抑制剂与虚弱指数之间的关系。","authors":"Rui Wu, Guojun Hong, Xiankun Cheng, Yue Zhu","doi":"10.1111/bcp.16260","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>This study aimed to investigate the association between use of proton pump inhibitors (PPI) and frailty index (FI), and to assess the causality relationship using Mendelian randomization (MR).</p><p><strong>Methods: </strong>A total of 9756 middle-aged and older adults from the National Health and Nutrition Examination Survey were included. The FI was evaluated using a previously validated 49-item deficit model to assess frailty status, which is one of the common approaches to measure overall health burden. We performed weighted multivariable-adjusted linear regression to assess the association between PPI use and FI, and conducted a two-sample MR to evaluate causality, employing various sensitivity analyses for robustness. The inverse variance weighted (IVW) method was used as the primary analysis.</p><p><strong>Results: </strong>Multiple linear regression analysis revealed a positive association between PPI use and FI (β = 0.048, 95% confidence interval [CI]: 0.042-0.054, P < .001). This association was observed in both short-term (≤ 1 year) and long-term (> 1 year) PPI users (P for trend < 0.001). The MR study also revealed a positive association between PPI use and FI based on the IVW method (β = 1.183, 95% CI: 0.474-1.892, P = .001).</p><p><strong>Conclusions: </strong>While our findings suggest a potential link between PPI use and FI, they should be interpreted with caution due to the study's limitations. Although the MR analysis suggests a causal relationship, further research, particularly longitudinal studies, is needed to confirm these findings and better establish temporality.</p>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The association between use of proton pump inhibitors and frailty index among middle-aged and older adults.\",\"authors\":\"Rui Wu, Guojun Hong, Xiankun Cheng, Yue Zhu\",\"doi\":\"10.1111/bcp.16260\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Aims: </strong>This study aimed to investigate the association between use of proton pump inhibitors (PPI) and frailty index (FI), and to assess the causality relationship using Mendelian randomization (MR).</p><p><strong>Methods: </strong>A total of 9756 middle-aged and older adults from the National Health and Nutrition Examination Survey were included. The FI was evaluated using a previously validated 49-item deficit model to assess frailty status, which is one of the common approaches to measure overall health burden. We performed weighted multivariable-adjusted linear regression to assess the association between PPI use and FI, and conducted a two-sample MR to evaluate causality, employing various sensitivity analyses for robustness. The inverse variance weighted (IVW) method was used as the primary analysis.</p><p><strong>Results: </strong>Multiple linear regression analysis revealed a positive association between PPI use and FI (β = 0.048, 95% confidence interval [CI]: 0.042-0.054, P < .001). This association was observed in both short-term (≤ 1 year) and long-term (> 1 year) PPI users (P for trend < 0.001). The MR study also revealed a positive association between PPI use and FI based on the IVW method (β = 1.183, 95% CI: 0.474-1.892, P = .001).</p><p><strong>Conclusions: </strong>While our findings suggest a potential link between PPI use and FI, they should be interpreted with caution due to the study's limitations. Although the MR analysis suggests a causal relationship, further research, particularly longitudinal studies, is needed to confirm these findings and better establish temporality.</p>\",\"PeriodicalId\":3,\"journal\":{\"name\":\"ACS Applied Electronic Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Electronic Materials\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1111/bcp.16260\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/bcp.16260","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
摘要
目的:本研究旨在调查使用质子泵抑制剂(PPI)与虚弱指数(FI)之间的关系,并使用孟德尔随机法(MR)评估两者之间的因果关系:方法:共纳入了 9756 名来自美国国家健康与营养调查的中老年人。我们使用先前验证过的 49 项赤字模型来评估虚弱状态,该模型是衡量总体健康负担的常用方法之一。我们进行了加权多变量调整线性回归以评估 PPI 使用与 FI 之间的关联,并进行了双样本 MR 以评估因果关系,同时采用了各种敏感性分析以确保稳健性。主要分析采用了反方差加权(IVW)法:多元线性回归分析显示,PPI 使用者与 FI(β = 0.048,95% 置信区间 [CI]:0.042-0.054,P 1 年)之间存在正相关(趋势 P <0.001)。MR研究还显示,根据IVW方法,PPI使用与FI之间存在正相关(β = 1.183,95% CI:0.474-1.892,P = .001):虽然我们的研究结果表明使用 PPI 与 FI 之间存在潜在联系,但由于研究的局限性,在解释这些结果时应谨慎。尽管磁共振分析表明两者之间存在因果关系,但仍需进一步研究,尤其是纵向研究,以证实这些发现并更好地确定时间性。
The association between use of proton pump inhibitors and frailty index among middle-aged and older adults.
Aims: This study aimed to investigate the association between use of proton pump inhibitors (PPI) and frailty index (FI), and to assess the causality relationship using Mendelian randomization (MR).
Methods: A total of 9756 middle-aged and older adults from the National Health and Nutrition Examination Survey were included. The FI was evaluated using a previously validated 49-item deficit model to assess frailty status, which is one of the common approaches to measure overall health burden. We performed weighted multivariable-adjusted linear regression to assess the association between PPI use and FI, and conducted a two-sample MR to evaluate causality, employing various sensitivity analyses for robustness. The inverse variance weighted (IVW) method was used as the primary analysis.
Results: Multiple linear regression analysis revealed a positive association between PPI use and FI (β = 0.048, 95% confidence interval [CI]: 0.042-0.054, P < .001). This association was observed in both short-term (≤ 1 year) and long-term (> 1 year) PPI users (P for trend < 0.001). The MR study also revealed a positive association between PPI use and FI based on the IVW method (β = 1.183, 95% CI: 0.474-1.892, P = .001).
Conclusions: While our findings suggest a potential link between PPI use and FI, they should be interpreted with caution due to the study's limitations. Although the MR analysis suggests a causal relationship, further research, particularly longitudinal studies, is needed to confirm these findings and better establish temporality.