Predictors of hospital readmission for patients diagnosed with delirium: An electronic health record data analysis.

INTRODUCTION: Delirium is an acute and fluctuating change in attention and cognition that increases the risk of functional decline, institutionalisation and death in hospitalised patients. After delirium, patients have a significantly higher risk of readmission to hospital. Our aim was to investigate factors associated with hospital readmission in people with delirium. METHODS: We carried out an observational retrospective cohort study using linked mental health care and hospitalisation records from South London. Logistic regression models were used to predict the odds of 30-day readmission and Cox proportional hazard models to calculate readmission risks when not restricting follow-up time. RESULTS: Of 2814 patients (mean age 78.9 years SD ±11.8) discharged from hospital after an episode of delirium, 823 (29.3%) were readmitted within 30 days. Depressed mood (odds ratio (OR) 1.34 (95% confidence interval (CI) 1.08-1.66)), moderate-to-severe physical health problems (OR 1.67 (95% CI 1.18-2.2.36)) and a history of serious circulatory disease (OR 1.29 (95% CI 1.07-1.55)) were associated with higher odds of hospital readmission, whereas a diagnosis of delirium superimposed on dementia (OR 0.67 (95% CI 0.53-0.84)) and problematic alcohol/substance (OR 0.54 (95% CI 0.33-0.89)) use were associated with lower odds. Cox proportionate hazard models showed similar results. CONCLUSION: Almost one-third of patients with delirium were readmitted within a short period of time, a more detailed understanding of the underlying risk factors could help prevent readmissions. Our findings indicate that the aetiology (as alcohol-related delirium), the recognition that delirium occurred in the context of dementia, as well as potentially modifiable factors, as depressed mood affect readmission risk, and should be assessed in clinical settings.

Robotic versus laparoscopic Roux-en-Y gastric bypass (RYGB) in obese adults ages 18 to 65 years: a systematic review and economic analysis.

BACKGROUND: In the United States, 37.5 % of adults (78 million) are obese. The direct medical costs of treating obesity-related disease account for more than 6 % of the national health expenditure. Robotic bariatric surgery is becoming more common, but it is unclear whether robotic procedures result in lower complication rates. Additionally, some evidence is conflicting regarding the costs of robotic Roux-en-Y gastric bypass (RYGB) compared with those of laparoscopic RYGB. This study aimed to compare complication rates, operative characteristics, and expected costs between robotic and laparoscopic RYGB. METHODS: A systematic review of the literature was performed with searches of five databases and grey literature, hand searches, and reference and forward citation searches. Studies comparing robotic versus laparoscopic RYGB involving patients ages 18-65 years who met the National Institutes of Health (NIH) criteria for bariatric surgery were included in the study if they reported overall or major complication rates. Outcomes were pooled using random-effects metaanalysis. A decision-tree economic analysis was performed to calculate expected costs associated with each technique. RESULTS: The systematic search strategy returned 1,374 potentially relevant studies. The inclusion criteria were met by 10 of these studies, which included results from 2,557 patients. The overall major and minor complications did not differ significantly between the robotic and laparoscopic groups. The rates for anastomotic leak, bleeding, stricture, and reoperation did not differ significantly. An economic analysis found that the expected costs for robotic RYGB ($15,447) were higher than for laparoscopic RYGB ($11,956). Sensitivity analyses produced similar results. CONCLUSION: The complication rates did not differ significantly between robotic and laparoscopic RYGB, but the expected costs were greater for robotic RYGB. Further cost effectiveness analyses are recommended before adoption of a robotic approach to RYGB.

Exploring the relationship between national economic indicators and relative fitness and frailty in middle-aged and older Europeans.

BACKGROUND: on an individual level, lower-income has been associated with disability, morbidity and death. On a population level, the relationship of economic indicators with health is unclear. OBJECTIVE: the purpose of this study was to evaluate relative fitness and frailty in relation to national income and healthcare spending, and their relationship with mortality. DESIGN AND SETTING: secondary analysis of data from the Survey of Health, Ageing and Retirement in Europe (SHARE); a longitudinal population-based survey which began in 2004. SUBJECTS: a total of 36,306 community-dwelling people aged 50 and older (16,467 men; 19,839 women) from the 15 countries which participated in the SHARE comprised the study sample. A frailty index was constructed as the proportion of deficits present in relation to the 70 deficits available in SHARE. The characteristics of the frailty index examined were mean, prevalence of frailty and proportion of the fittest group. RESULTS: the mean value of the frailty index was lower in higher-income countries (0.16 ± 0.12) than in lower-income countries (0.20 ± 0.14); the overall mean frailty index was negatively correlated with both gross domestic product (r = -0.79; P < 0.01) and health expenditure (r = -0.63; P < 0.05). Survival in non-frail participants at 24 months was not associated with national income (P = 0.19), whereas survival in frail people was greater in higher-income countries (P < 0.05). CONCLUSIONS: a country's level of frailty and fitness in adults aged 50+ years is strongly correlated with national economic indicators. In higher-income countries, not only is the prevalence of frailty lower, but frail people also live longer.