Lehnich Anna-Therese, Kowall Bernd, Kuß Oliver, Schmidt-Pokrzywniak Andrea, Weinreich Gerhard, Dragano Nico, Moebus Susanne, Erbel Raimund, Jöckel Karl-Heinz, Stang Andreas
Institute of Medical Informatics, Biometry and Epidemiology Medical Faculty, University of Duisburg-Essen, Essen.
Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich Heine University, Düsseldorf.
Br J Clin Pharmacol. 2016 Sep;82(3):869-77. doi: 10.1111/bcp.13015. Epub 2016 Jun 23.
The sleep disturbing effect of many drugs is derived from clinical trials with highly selected patient collectives. However, the generalizability of such findings to the general population is questionable. Our aim was to assess the association between intake of drugs labelled as sleep disturbing and self-reported nocturnal sleep disturbances in a population-based study.
We used data of 4221 participants (50.0% male) aged 45 to 75 years from the baseline examination of the Heinz Nixdorf Recall Study in Germany. The interview provided information on difficulties falling asleep, difficulties maintaining sleep and early morning arousal. We used the summary of product characteristics (SPC) for each drug taken and assigned the probability of sleep disturbances. Thereafter, we calculated cumulative probabilities of sleep disturbances per subject to account for polypharmacy. We estimated prevalence ratios (PR) using log Poisson regression models with robust variance.
The adjusted PRs of any regular nocturnal sleep disorder per additional sleep disturbing drug were 1.01 (95% confidence interval (CI) 0.97, 1.06) and 1.03 (95% CI 1.00, 1.07) for men and women, respectively. Estimates for each regular nocturnal sleep disturbance were similarly close to 1. PRs for regular nocturnal sleep disturbances did not increase with rising cumulative probability for drug-related sleep disturbances.
SPC-based probabilities of drug-related sleep disturbances showed barely any association with self-reported regular nocturnal sleep disturbances. We conclude that SPC-based probability information may lack generalizability to the general population or may be of limited data quality.
许多药物的睡眠干扰作用源自针对高度特定患者群体的临床试验。然而,这些研究结果推广至普通人群的可行性存疑。我们的目的是在一项基于人群的研究中评估服用标明有睡眠干扰作用药物与自我报告的夜间睡眠障碍之间的关联。
我们使用了来自德国海因茨·尼克斯多夫召回研究基线检查的4221名年龄在45至75岁之间参与者(50.0%为男性)的数据。访谈提供了入睡困难、维持睡眠困难和早醒方面的信息。我们使用了所服用每种药物的产品特性摘要(SPC),并确定了睡眠干扰的可能性。此后,我们计算了每个受试者睡眠干扰的累积概率,以考虑多药合用情况。我们使用具有稳健方差的对数泊松回归模型估计患病率比(PR)。
每增加一种有睡眠干扰作用的药物,男性和女性出现任何常规夜间睡眠障碍的校正PR分别为1.01(95%置信区间(CI)0.97,1.06)和1.03(95%CI 1.00,1.07)。每种常规夜间睡眠障碍估计值同样接近1。常规夜间睡眠障碍的PR并未随着药物相关睡眠干扰累积概率的增加而升高。
基于SPC的药物相关睡眠干扰概率与自我报告的常规夜间睡眠障碍几乎没有关联。我们得出结论,基于SPC的概率信息可能无法推广至普通人群,或者数据质量有限。