Zazzara Maria Beatrice, Vetrano Davide Liborio, Carfì Angelo, Liperoti Rosa, Damiano Cecilia, Onder Graziano
Fondazione Policlinico Universitario A. Gemelli IRCCS Rome Italy.
Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University Stockholm Sweden.
Alzheimers Dement (Amst). 2022 Jun 14;14(1):e12320. doi: 10.1002/dad2.12320. eCollection 2022.
Dementia is common in nursing homes (NH) residents. Defining dementia comorbidities is instrumental to identify groups of persons with dementia that differ in terms of health trajectories and resources consumption. We performed a cross-sectional study to identify comorbidity patterns and their associated clinical, behavioral, and functional phenotypes in institutionalized older adults with dementia.
We analyzed data on 2563 Italian NH residents with dementia, collected between January 2014 and December 2018 using the multidimensional assessment instrument interRAI Long-Term Care Facility (LTCF). A standard principal component procedure was used to identify comorbidity patterns. Linear regression analyses were used to ascertain correlates of expression of the different patterns.
Among NH residents with dementia, we identified three different comorbidity patterns: (1) heart diseases, (2) cardiovascular and respiratory diseases and sensory impairments, and (3) psychiatric diseases. Older age significantly related to increased expression of the first two patterns, while younger patients displayed increased expression of the third one. Recent hospital admissions were associated with increased expression of the heart diseases pattern (β = 0.028; 95% confidence interval [CI] 0.003 to 0.05). Depressive symptoms and delirium episodes increased the expression of the psychiatric diseases pattern (β = 0.130, 95% CI 0.10 to 0.17, and β 0.130, CI 0.10 to 0.17, respectively), while showed a lower expression of the heart diseases pattern.
We identified different comorbidity patterns within NH residents with dementia that differ in term of clinical and functional profiles. The prompt recognition of health needs associated to a comorbidity pattern may help improve long-term prognosis and quality of life of these individuals.
Defining dementia comorbidities patterns in institutionalized older adults is key.Institutionalized older adults with dementia express different care needs.Comorbidity patterns are instrumental to identify different patients' phenotypes.Phenotypes vary in terms of health trajectories and demand different care plans.Prompt recognition of phenotypes in nursing homes can positively impact on outcomes.
痴呆症在养老院居民中很常见。定义痴呆症合并症有助于识别在健康轨迹和资源消耗方面存在差异的痴呆症患者群体。我们进行了一项横断面研究,以确定机构化痴呆症老年人的合并症模式及其相关的临床、行为和功能表型。
我们分析了2014年1月至2018年12月期间使用多维评估工具interRAI长期护理设施(LTCF)收集的2563名意大利养老院痴呆症居民的数据。采用标准主成分程序识别合并症模式。线性回归分析用于确定不同模式表达的相关因素。
在患有痴呆症的养老院居民中,我们识别出三种不同的合并症模式:(1)心脏病,(2)心血管和呼吸系统疾病及感觉障碍,(3)精神疾病。年龄较大与前两种模式的表达增加显著相关,而年轻患者第三种模式的表达增加。近期住院与心脏病模式的表达增加相关(β = 0.028;95%置信区间[CI]0.003至0.05)。抑郁症状和谵妄发作增加了精神疾病模式的表达(β = 0.130,95%CI 0.10至0.17,以及β 0.130,CI 0.10至0.17),而心脏病模式的表达较低。
我们在患有痴呆症的养老院居民中识别出了不同的合并症模式,这些模式在临床和功能特征方面存在差异。对与合并症模式相关的健康需求的迅速识别可能有助于改善这些个体的长期预后和生活质量。
在机构化老年人中定义痴呆症合并症模式是关键。机构化痴呆症老年人表达不同的护理需求。合并症模式有助于识别不同患者的表型。表型在健康轨迹方面各不相同,需要不同的护理计划。在养老院中迅速识别表型可对结果产生积极影响。