Rita Martins, Sónia Martins, Raquel Correia, Elika Pinho, Cristiana Paulo, Maria João Silva, Ana Teixeira, Liliana Fontes, Luís Lopes, José Artur Paiva, Luís Filipe Azevedo, Lia Fernandes
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The Confusion Assessment Method-Short Form (CAM-4) was used to assess the presence of delirium.</p><p><strong>Results: </strong>The final sample (n = 105) had a median age of 80 years, most being female (56.2%), widowed (49.5%), and with complete primary education (53%). Through CAM-4, 36.2% of the patients had delirium. The delirium group was more likely to have previous cognitive decline (48.6% vs 19.6%, <i>P</i> = .04) and severe dependency in instrumental activities of daily living (34.3% vs 14.8%, <i>P</i> = .032), comparing with patients without delirium. The final multiple logistic regression model explained that patients with previous cognitive decline presented a higher risk for delirium (odds ratio: 4.663, 95% confidence Interval: 1.055-20.599, <i>P</i> = .042).</p><p><strong>Conclusions: </strong>These findings corroborate previous studies, showing that cognitive decline is an independent predictor for delirium in older patients. This study is an important contribution for the knowledge regarding the predictors of delirium. The recognition of these factors will help to identify patients who are at high risk for this syndrome and implement early screening and prevention strategies. However, further studies with larger samples, recruited from other clinical settings as well as analyzing other potential factors for delirium, will be needed.</p>","PeriodicalId":74479,"journal":{"name":"Porto biomedical journal","volume":"8 6","pages":"e240"},"PeriodicalIF":0.0000,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10715770/pdf/","citationCount":"0","resultStr":"{\"title\":\"Occurrence and predictors of delirium in critically ill older patients: a prospective cohort study.\",\"authors\":\"Rita Martins, Sónia Martins, Raquel Correia, Elika Pinho, Cristiana Paulo, Maria João Silva, Ana Teixeira, Liliana Fontes, Luís Lopes, José Artur Paiva, Luís Filipe Azevedo, Lia Fernandes\",\"doi\":\"10.1097/j.pbj.0000000000000240\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>This study aims to analyze the occurrence of delirium in critically ill older patients and to identify predictors of delirium.</p><p><strong>Methods: </strong>This prospective study included critically ill older patients admitted into level II units of Intensive Care Medicine Department of a University Hospital. 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引用次数: 0
摘要
研究目的本研究旨在分析老年重症患者谵妄的发生率,并确定谵妄的预测因素:这项前瞻性研究纳入了某大学附属医院重症医学科二级病房收治的老年重症患者。格拉斯哥昏迷量表评分≤11分、脑外伤、末期疾病、精神病史、失明/失聪或无法理解/讲葡萄牙语的患者除外。使用意识混乱评估方法简表(CAM-4)来评估是否存在谵妄:最终样本(n = 105)的中位数年龄为 80 岁,大多数为女性(56.2%)、丧偶(49.5%)和受过完整初等教育(53%)。通过 CAM-4,36.2% 的患者患有谵妄。与没有谵妄的患者相比,谵妄组患者更有可能出现认知功能衰退(48.6% vs 19.6%,P = .04)和日常生活工具性活动严重依赖(34.3% vs 14.8%,P = .032)。最终的多元逻辑回归模型显示,既往认知功能下降的患者出现谵妄的风险更高(几率比:4.663,95% 置信区间:1.055-20.599,P = .042):这些发现证实了之前的研究,表明认知功能下降是老年患者谵妄的独立预测因素。这项研究为了解谵妄的预测因素做出了重要贡献。认识到这些因素将有助于识别谵妄综合征的高危患者,并实施早期筛查和预防策略。不过,我们还需要进行更大规模的研究,从其他临床环境中招募样本,并分析谵妄的其他潜在因素。
Occurrence and predictors of delirium in critically ill older patients: a prospective cohort study.
Objectives: This study aims to analyze the occurrence of delirium in critically ill older patients and to identify predictors of delirium.
Methods: This prospective study included critically ill older patients admitted into level II units of Intensive Care Medicine Department of a University Hospital. Patients with Glasgow Coma Scale score ≤11, traumatic brain injury, terminal disease, history of psychosis, blindness/deafness, or inability to understanding/speaking Portuguese were excluded. The Confusion Assessment Method-Short Form (CAM-4) was used to assess the presence of delirium.
Results: The final sample (n = 105) had a median age of 80 years, most being female (56.2%), widowed (49.5%), and with complete primary education (53%). Through CAM-4, 36.2% of the patients had delirium. The delirium group was more likely to have previous cognitive decline (48.6% vs 19.6%, P = .04) and severe dependency in instrumental activities of daily living (34.3% vs 14.8%, P = .032), comparing with patients without delirium. The final multiple logistic regression model explained that patients with previous cognitive decline presented a higher risk for delirium (odds ratio: 4.663, 95% confidence Interval: 1.055-20.599, P = .042).
Conclusions: These findings corroborate previous studies, showing that cognitive decline is an independent predictor for delirium in older patients. This study is an important contribution for the knowledge regarding the predictors of delirium. The recognition of these factors will help to identify patients who are at high risk for this syndrome and implement early screening and prevention strategies. However, further studies with larger samples, recruited from other clinical settings as well as analyzing other potential factors for delirium, will be needed.