Development and external validation of a prognostic model for time to readmission or death in multimorbid patients

IF 3.7 3区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Research in Social & Administrative Pharmacy Pub Date : 2024-06-21 DOI:10.1016/j.sapharm.2024.06.007
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Abstract

Objective

To develop and externally validate a prognostic model built on important factors predisposing multimorbid patients to all-cause readmission and/or death. In addition to identify patients who may benefit most from a comprehensive clinical pharmacist intervention.

Methods

A multivariable prognostic model was developed based on data from a randomised controlled trial investigating the effect of pharmacist-led medicines management on readmission rate in multimorbid, hospitalised patients. The derivation set comprised 386 patients randomised in a 1:1 manner to the intervention group, i.e. with a pharmacist included in their multidisciplinary treatment team, or the control group receiving standard care at the ward. External validation of the model was performed using data from an independent cohort, in which 100 patients were randomised to the same intervention, or standard care. The setting was an internal medicines ward at a university hospital in Norway.

Results

The number of patients who were readmitted or had died within 18 months after discharge was 297 (76.9 %) in the derivation set, i.e. the randomized controlled trial, and 69 (71.1 %) in the validation set, i.e. the independent cohort. Charlson comorbidity index (CCI; low, moderate or high), previous hospital admissions within the previous six months and heart failure were the strongest prognostic factors and were included in the final model. The efficacy of the pharmaceutical intervention did not prove significant in the model. A prognostic index (PI) was constructed to estimate the hazard of readmission or death (low, intermediate or high-risk groups). Overall, the external validation replicated the result. We were unable to identify a subgroup of the multimorbid patients with better efficacy of the intervention.

Conclusions

A prognostic model including CCI, previous admissions and heart failure can be used to obtain valid estimates of risk of readmission and death in patients with multimorbidity.

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开发并从外部验证了一个多病症患者再入院或死亡时间的预后模型。
目的开发并从外部验证一个预后模型,该模型基于导致多病患者全因再入院和/或死亡的重要因素。此外,确定哪些患者可从临床药师的综合干预中获益最多:根据一项随机对照试验的数据建立了一个多变量预后模型,该试验研究了药剂师指导的药物管理对多病症住院患者再入院率的影响。推导集由 386 名患者组成,他们以 1:1 的方式被随机分配到干预组(即多学科治疗团队中有药剂师)或在病房接受标准护理的对照组。该模型的外部验证使用了一个独立队列的数据,其中有 100 名患者被随机分配到相同的干预组或标准护理组。研究地点是挪威一所大学医院的内科病房:在衍生集(即随机对照试验)和验证集(即独立队列)中,出院后 18 个月内再次入院或死亡的患者人数分别为 297 人(76.9%)和 69 人(71.1%)。Charlson合并症指数(CCI;低、中或高)、前六个月内入院情况和心力衰竭是最强的预后因素,并被纳入最终模型。药物干预的疗效在模型中并不显著。我们构建了一个预后指数(PI)来估算再次入院或死亡的风险(低、中、高风险组)。总体而言,外部验证复制了这一结果。我们无法确定干预效果更好的多病患者亚组:结论:包括CCI、既往入院情况和心力衰竭在内的预后模型可用于有效估计多病患者的再入院和死亡风险。
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来源期刊
Research in Social & Administrative Pharmacy
Research in Social & Administrative Pharmacy PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
7.20
自引率
10.30%
发文量
225
审稿时长
47 days
期刊介绍: Research in Social and Administrative Pharmacy (RSAP) is a quarterly publication featuring original scientific reports and comprehensive review articles in the social and administrative pharmaceutical sciences. Topics of interest include outcomes evaluation of products, programs, or services; pharmacoepidemiology; medication adherence; direct-to-consumer advertising of prescription medications; disease state management; health systems reform; drug marketing; medication distribution systems such as e-prescribing; web-based pharmaceutical/medical services; drug commerce and re-importation; and health professions workforce issues.
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