对住院(病态)肥胖患者剂量优化的临床决策支持系统的评估和验证——一项回顾性观察性研究

IF 3.3 3区 医学 Q2 MEDICAL INFORMATICS
Lianne Brand, L Mitrov-Winkelmolen, T M Kuijper, T M Bosch, L L Krens
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引用次数: 0

摘要

背景:肥胖改变患者的药代动力学,药物治疗建议应个性化,以确保适当的治疗。目前,针对肥胖人群的建议落实不足,对体重和体重指数(BMI)的监测也很少。Maasstad医院根据荷兰现行指南为药剂师建立了临床决策支持系统(CDSS),根据患者特征为(病态)肥胖患者提供治疗建议。在这项研究中,我们评估了接受药物治疗不足的患者是否确实通过CDSS被识别出来,以及在多大程度上产生了不相关的警报。此外,还调查了药剂师在多大程度上执行了这些建议,医生在多大程度上采取了这些建议。方法:该研究涉及2021年1月至2021年8月在荷兰鹿特丹Maasstad医院进行的回顾性观察性研究。药物包括达特帕林、阿哌沙班、达比加群、依多沙班、利伐沙班、万古霉素和环丙沙星。收集配药数据、患者特征和CDSS处理。当患者的体重或BMI可能导致通过CDSS进行剂量调整时,纳入了配药数据。评估CDSS的敏感性、特异性、阳性预测值(PPV)和阴性预测值(NPV)。此外,超额警报,定义为不相关的警报在评估时刻,CDSS和遵守CDSS进行了调查。结果:3735个药品分配点共产生1218个报警。568起报警(46.6%)导致药师向医师提出药物治疗建议。在大多数病例中,敏感性、特异性、PPV和NPV为100.0%,ci为95%。对于一些药物,需要进行技术调整,包括最初在CDSS中万古霉素的BMI设置不正确,导致56.9%的高超额警报。达比加群的NPV为22.2% 95% CI[6.3-54.7],敏感性为56.3% 95% CI[33.2-76.9]。总体超额警报从22.2%到56.9%不等。根据不同的药物,这些建议在实践中导致6.9-100.0%的实际药物治疗调整。结论:(病态)肥胖CDSS功能符合预期,可识别药物治疗不充分的(病态)肥胖患者。医生的依从性和随访在实践中差异很大,需要进一步调查。试验注册:非wmo研究W21.218。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation and validation of a clinical decision support system for dose optimisation in hospitalized patients with (morbid) obesity - a retrospective, observational study.

Background: Obesity changes a patient's pharmacokinetics and pharmacotherapeutic advices should be personalized to ensure proper treatment. Currently, implementations of advices regarding the obese population are lacking and weight and body mass index (BMI) are rarely monitored. The Maasstad Hospital built a clinical decision support system (CDSS) for pharmacists, based on current Dutch guidelines, to supply therapeutic advices for (morbidly) obese patients based on patient characteristics. In this study we evaluated whether patients receiving inadequate pharmacotherapy are indeed identified via this CDSS and to which extent irrelevant alerts are generated. Moreover, it is investigated to which extent pharmacists carry on the generated advices and to which extent physicians act upon these.

Methods: The research concerned a retrospective observational study performed at the Maasstad Hospital in Rotterdam, the Netherlands between January 2021 and august 2021. The drugs included were dalteparin, apixaban, dabigatran, edoxaban, rivaroxaban, vancomycin and ciprofloxacin. Dispensing data, patient characteristics and CDSS processing were collected. Dispensing data was included when the patient's weight or BMI could potentially lead to dose adjustments via the CDSS. The CDSS was evaluated for sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). Additionally, excess alerts, defined as irrelevant alerts on the moment of assessment, of the CDSS and adherence to the CDSS were investigated.

Results: 1218 alerts over 3735 drug dispenses were generated. 568 alerts (46.6%) resulted in a pharmacotherapeutic advice by the pharmacist to the physician. In most cases, the sensitivity, specificity, PPV and NPV were 100.0% with varying 95% CIs. For some drugs technical adjustments were needed, including the initially incorrect BMI setting of vancomycin within the CDSS, resulting in a high excess alerts of 56.9%. Dabigatran had a NPV of 22.2% 95% CI [6.3-54.7] and a sensitivity of 56.3% 95% CI [33.2-76.9]. Overall excess alerts varied from 22.2% to 56.9%. Depending on the drug, the advices resulted in 6.9-100.0% real pharmacotherapy adjustments in practise.

Conclusion: The (morbid) obesity CDSS functions as expected and identifies the (morbidly) obese patients with inadequate pharmacotherapy. The adherence of physicians and the follow-up in practise varies widely and requires further investigation.

Trial registration: Non-WMO research W21.218.

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来源期刊
CiteScore
7.20
自引率
5.70%
发文量
297
审稿时长
1 months
期刊介绍: BMC Medical Informatics and Decision Making is an open access journal publishing original peer-reviewed research articles in relation to the design, development, implementation, use, and evaluation of health information technologies and decision-making for human health.
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