Bourdel-Marchasson Isabelle, Vincent Sophie, Germain Christine, Salles Nathalie, Jenn Joanne, Rasoamanarivo Espérance, Emeriau Jean-Paul, Rainfray Muriel, Richard-Harston Sandrine
Département de Gériatrie Henri Choussat, Hopital Xavier Arnozan, Pessac Cedex, France.
J Gerontol A Biol Sci Med Sci. 2004 Apr;59(4):350-4. doi: 10.1093/gerona/59.4.m350.
To assess the effects of delirium on the institutionalization rate, taking into account geriatric syndromes and nutritional status.
This population-based study took place in an acute care unit and included participants older than 75 years, arriving from home and later discharged. Confusion Assessment Method (CAM) symptoms were recorded by the nurses within 24 hours after admission and every 3 days. Delirium was defined using the CAM algorithm, and subsyndromal delirium responded to symptoms not fulfilling the CAM algorithm. These delirium categories were either present at admission (prevalent) or occurred during the hospital stay (incident). Participants were classified as having a low dietary intake when energy intake was at any time lower than 600 kcal/d. Age, sex, known cognitive impairment, weight, functional dependency, and laboratory testing as well as diagnoses were also recorded. Step-by-step backward logistic regression was used to identify predictors of institutionalization.
Among 427 patients, 310 (72.6%) were discharged and were compared with 117 (27.4%) participants admitted to an institution. Female sex (odds ratio [OR]: OR 2.15, 95% confidence interval [CI]: CI 1.22-3.78), prevalent delirium (OR 3.19, 95% CI 1.33-7.64), subsyndromal delirium (OR 2.72, 95% CI 1.48-5.01), incident subsyndromal delirium (OR 4.27, 95% CI 2.17-8.39), low dietary intake (OR 2.50, 95% CI 1.35-4.63), and a fall (OR 2.16, 95% CI 1.22-3.84) or a diagnosis of stroke (OR 2.03, 95% CI 1.04-3.94) were independent predictors of institutionalization.
Symptoms of delirium and severe nutritional impairment led patients to geriatric institutions. Therefore, these institutions need to implement policies that address both of these issues.
考虑到老年综合征和营养状况,评估谵妄对入住养老机构率的影响。
这项基于人群的研究在一家急症护理病房进行,纳入了75岁以上、从家中送来并随后出院的参与者。护士在入院后24小时内及每隔3天记录混乱评估方法(CAM)症状。使用CAM算法定义谵妄,亚综合征性谵妄对应未满足CAM算法的症状。这些谵妄类别在入院时存在(现患)或在住院期间发生(新发)。当能量摄入在任何时候低于600千卡/天时,参与者被分类为饮食摄入量低。还记录了年龄、性别、已知的认知障碍、体重、功能依赖、实验室检查以及诊断情况。采用逐步向后逻辑回归来确定入住养老机构的预测因素。
在427名患者中,310名(72.6%)出院,与117名(27.4%)入住养老机构的参与者进行比较。女性(比值比[OR]:OR 2.15,95%置信区间[CI]:CI 1.22 - 3.78)、现患谵妄(OR 3.19,95% CI 1.33 - 7.64)、亚综合征性谵妄(OR 2.72,95% CI 1.48 - 5.01)、新发亚综合征性谵妄(OR 4.27,95% CI 2.17 - 8.39)、低饮食摄入量(OR 2.50,95% CI 1.35 - 4.63)以及跌倒(OR 2.16,95% CI 1.22 - 3.84)或中风诊断(OR 2.03,95% CI 1.04 - 3.94)是入住养老机构的独立预测因素。
谵妄症状和严重营养损害导致患者入住老年机构。因此,这些机构需要实施解决这两个问题的政策。