Identifying patterns of multimorbidity, polypharmacy and frailty in the elderly: a clustering analysis of baseline data from a French, randomised, controlled trial in primary care.

IF 2.4 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Aziz Guellich, Nadia Oubaya, Joel Cogneau, François Lacoin, Pascal Clerc, Etienne Audureau, Julien Le Breton
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引用次数: 0

Abstract

Objectives: To identify distinct profiles among elderly patients in primary care so that general practitioners (GPs) can develop more targeted care strategies.

Design: A cross-sectional analysis of baseline data from the French nationwide 'Elderly Appropriate Treatment in Primary Care' trial.

Setting: Primary care in France: 277 GPs included patients.

Participants: The study participants were aged 75 or over, living at home, and taking five or more prescription medications. Of the 2724 patients included, 2651 were analysed.

Primary and secondary outcome measures: To identify specific patterns of multimorbidity, polypharmacy and frailty, we applied an unsupervised clustering analysis with self-organising maps.

Results: Seven clusters were identified: cluster 1 (16% of the patients) comprised frail men and women with cardiovascular, respiratory, musculoskeletal and endocrine diseases and marked polypharmacy; cluster 2 (9.3%, mainly men) comprised frail patients with cancer and cardiovascular or urogenital/renal diseases; cluster 3 (15.5%, mainly men) comprised not-very-frail patients with cardiovascular and urogenital/renal diseases; cluster 4 (18.1%) comprised not-very-frail men and women with cardiovascular diseases; cluster 5 (13.5%, mainly women) comprised mainly lonely, very frail patients with hypertension and endocrine, musculoskeletal and neuropsychiatric disorders; cluster 6 (19.1%, mainly women) comprised frail, socially isolated patients with digestive, musculoskeletal and neuropsychiatric diseases; lastly, cluster 7 (8.6%, mainly women) comprised frail, socially isolated patients with hypertension, cancer, or musculoskeletal, psychological and digestive disorders.

Conclusion: Our phenotypic classification of elderly patients might facilitate efforts to align healthcare services with the care needs that are encountered by GPs in their everyday practice. TRIAL REGESTRATION NUMBER: (NCT03298386).

识别老年人多病、多药和虚弱的模式:来自法国初级保健随机对照试验基线数据的聚类分析。
目的:确定初级保健老年患者的不同特征,以便全科医生(gp)制定更有针对性的护理策略。设计:对法国全国“初级保健中老年人适当治疗”试验的基线数据进行横断面分析。背景:法国的初级保健:277名全科医生纳入患者。参与者:研究参与者年龄在75岁或以上,住在家里,服用五种或更多处方药。在纳入的2724例患者中,分析了2651例。主要和次要结果测量:为了确定多病、多药和虚弱的特定模式,我们应用了带有自组织图的无监督聚类分析。结果:共鉴定出7类患者:1类患者(占16%)为患有心血管、呼吸、肌肉骨骼和内分泌疾病的体弱男女,有明显的多药性;第2组(9.3%,主要是男性)包括患有癌症和心血管或泌尿生殖/肾脏疾病的虚弱患者;第3组(15.5%,主要是男性)包括不太虚弱的心血管和泌尿生殖/肾脏疾病患者;第4组(18.1%)包括不太虚弱的患有心血管疾病的男性和女性;第5组(13.5%,主要是女性)主要包括孤独、非常虚弱的高血压患者和内分泌、肌肉骨骼和神经精神疾病;第6组(19.1%,主要是女性)包括患有消化系统、肌肉骨骼和神经精神疾病的虚弱、与社会隔绝的患者;最后,第7类(8.6%,主要是女性)包括身体虚弱、与社会隔绝的高血压、癌症或肌肉骨骼、心理和消化系统疾病患者。结论:我们对老年患者的表型分类可能有助于将医疗服务与全科医生在日常实践中遇到的护理需求结合起来。试验注册号:(nct03298386)。
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来源期刊
BMJ Open
BMJ Open MEDICINE, GENERAL & INTERNAL-
CiteScore
4.40
自引率
3.40%
发文量
4510
审稿时长
2-3 weeks
期刊介绍: BMJ Open is an online, open access journal, dedicated to publishing medical research from all disciplines and therapeutic areas. The journal publishes all research study types, from study protocols to phase I trials to meta-analyses, including small or specialist studies. Publishing procedures are built around fully open peer review and continuous publication, publishing research online as soon as the article is ready.
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