Martínez-Velilla Nicolas, Galbete Arkaitz, Roso-Llorach Albert, Zambom-Ferraresi Fabricio, Sáez de Asteasu Mikel L, Izquierdo Mikel, Vetrano Davide L, Calderón-Larrañaga Amaia
Navarrabiomed, Hospital Universitario de Navarra (HUN)-Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain.
CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain.
J Multimorb Comorb. 2022 Dec 11;12:26335565221145461. doi: 10.1177/26335565221145461. eCollection 2022 Jan-Dec.
Different multimorbidity patterns present with different prognoses, but it is unknown to what extent they may influence the effectiveness of an individualized multicomponent exercise program offered to hospitalized older adults.
This study is a secondary analysis of a randomized controlled trial conducted in the Department of Geriatric Medicine of a tertiary hospital. In addition to the standard care, an exercise-training multicomponent program was delivered to the intervention group during the acute hospitalization period. Multimorbidity patterns were determined through fuzzy c-means cluster analysis, over 38 chronic diseases. Functional, cognitive and affective outcomes were considered.
Three hundred and six patients were included in the analyses (154 control; 152 intervention), with a mean age of 87.2 years, and 58.5% being female. Four patterns of multimorbidity were identified: (26.8%); (20.6%); (16%); and an pattern (36.6%). The Short Physical Performance Battery (SPPB) test improved across all patterns, but the intervention was most effective for patients in the pattern (2.48-point difference between intervention/control groups, 95% CI 1.60-3.35). Regarding the Barthel Index and the Mini Mental State Examination (MMSE), the differences were significant for all multimorbidity patterns, except for the pattern. Differences concerning quality of life were especially high for the p pattern (16.9-point difference between intervention/control groups, 95% CI 4.04, 29.7).
Patients in all the analyzed multimorbidity patterns improved with this tailored program, but the improvement was highest for those in the metabolic pattern. Understanding how different chronic disease combinations are associated with specific functional and cognitive responses to a multicomponent exercise intervention may allow further tailoring such interventions to older patients' clinical profile.
不同的共病模式具有不同的预后,但它们在多大程度上可能影响为住院老年人提供的个体化多组分运动计划的效果尚不清楚。
本研究是对一家三级医院老年医学科进行的一项随机对照试验的二次分析。除标准护理外,在急性住院期间,干预组接受了一项运动训练多组分计划。通过模糊c均值聚类分析确定共病模式,涉及38种慢性疾病。考虑了功能、认知和情感结果。
306例患者纳入分析(154例对照组;152例干预组),平均年龄87.2岁,女性占58.5%。确定了四种共病模式:(26.8%);(20.6%);(16%);以及一种模式(36.6%)。所有模式下的简短体能状况量表(SPPB)测试均有所改善,但该干预对模式患者最有效(干预组/对照组之间差异为2.48分,95%CI 1.60 - 3.35)。关于巴氏指数和简易精神状态检查表(MMSE),除模式外,所有共病模式的差异均具有统计学意义。模式的生活质量差异尤为显著(干预组/对照组之间差异为16.9分,95%CI 4.04,29.7)。
所有分析的共病模式的患者通过这一量身定制的计划均有改善,但代谢模式的患者改善程度最高。了解不同的慢性病组合如何与对多组分运动干预的特定功能和认知反应相关联,可能有助于进一步根据老年患者的临床特征调整此类干预措施。