Long‐term proton pump inhibitor use and risk of osteoporosis and hip fractures: A nationwide population‐based and multicenter cohort study using a common data model

医学 髋部骨折 骨质疏松症 质子抑制剂泵 队列研究 期限(时间) 内科学 人口 队列 环境卫生 量子力学 物理
作者
Da‐Hee Park,Seung In Seo,Kyung Joo Lee,Jinseob Kim,Yerim Kim,Won‐Woo Seo,Hyung‐Seok Lee,Woon Geon Shin,Jong Jin Yoo
出处
期刊:Journal of Gastroenterology and Hepatology [Wiley]
卷期号:37 (8): 1534-1543 被引量:13
标识
DOI:10.1111/jgh.15879
摘要

Association between protonpump inhibitors (PPIs) and osteoporosis, hip fractures has not been fully elucidated. We aimed to evaluate the relationship between PPIs use and the risk of osteoporosis and hip fractures in the databases converted to a common data model (CDM) and to compare the results across the databases.This was a population-based, propensity-matched, retrospective cohort study that included patients aged ≥ 50 years who were prescribed with PPIs for over 180 days. We compared the incidence of osteoporosis and hip fractures between new PPI user and new user of other drugs using the Cox proportional hazards model and performed meta-analysis in the electronic health record (EHR) databases.In the Korean National Health Insurance Service (NHIS)-CDM database, long-term PPI users had greater risk of osteoporosis [PPIs vs non-PPIs groups, 28.42/1000 person-years vs 19.29/1000 person-years; hazard ratio (HR), 1.62; 95% confidence interval (CI), 1.22-2.15; P = 0.001]. The meta-analytic results of six EHR databases also showed similar result (pooled HR, 1.57; 95% CI, 1.28-1.92). In the analysis of hip fracture, PPI use was not significantly associated with a hip fracture in the NHIS-CDM database (PPI vs non-PPI groups, 3.09/1000 person-years vs 2.26/1000 person-years; HR, 1.45; 95% CI, 0.74-2.80; P = 0.27). However, in the meta-analysis of four EHR databases, the risk of hip fractures was higher in PPI users (pooled HR, 1.82; 95% CI, 1.04-3.19).Long-term PPI was significantly associated with osteoporosis; however, the results of hip fractures were inconsistent. Further study based on better data quality may be needed.
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