De-identified individual participant data will be available including data dictionaries. Specifically, a case may be submitted for provision of individual participant data that underlie the results reported in this article, after de-identification (text, tables, figures, and appendices). Study documentation including the study protocol and statistical analysis plan may also be requested. Data will be available following publication ending 5 years after this date as per data handling measures specified in the study protocol. Access will be granted to requestors submitting a methodologically sound proposal to the corresponding author CO

Background frailty measurement may identify patients at risk of decline after hospital discharge, but many measures require specialist review and/or additional testing. Objective to compare validated frailty tools with routine electronic health record (EHR) data at hospital discharge, for associations with readmission or death. Design observational cohort study. Setting hospital ward. Subjects consented cardiology inpatients ≥70 years old within 24 hours of discharge. Methods patients underwent Fried, Short Physical Performance Battery (SPPB), PRISMA-7 and Clinical Frailty Scale (CFS) assessments. An EHR risk score was derived from the proportion of 31 possible frailty markers present. Electronic follow-up was completed for a primary outcome of 90-day readmission or death. Secondary outcomes were mortality and days alive at home (‘home time’) at 12 months. Results in total, 186 patients were included (79 ± 6 years old, 64% males). The primary outcome occurred in 55 (30%) patients. Fried (hazard ratio [HR] 1.47 per standard deviation [SD] increase, 95% confidence interval [CI] 1.18–1.81, P < 0.001), CFS (HR 1.24 per SD increase, 95% CI 1.01–1.51, P = 0.04) and EHR risk scores (HR 1.35 per SD increase, 95% CI 1.02–1.78, P = 0.04) were independently associated with the primary outcome after adjustment for age, sex and co-morbidity, but the SPPB and PRISMA-7 were not. The EHR risk score was independently associated with mortality and home time at 12 months. Conclusions frailty measurement at hospital discharge identifies patients at risk of poorer outcomes. An EHR-based risk score appeared equivalent to validated frailty tools and may be automated to screen patients at scale, but this requires further validation.

Background Acute respiratory infections (ARIs) accounted for an estimated 3.9 million deaths worldwide in 2015, of which 56% occurred in adults aged 60 years or older. We aimed to identify the cost of ARI management in older adults (≥50 years) in order to develop an evidence base to assist decision-making for resource allocation and inform clinical practice. MethodsWe searched 8 electronic databases including Global Health, Medline and EMBASE for studies published between January 1, 2000 and December 31, 2021. Total management costs per patient per ARI episode were extracted and meta-analysis was conducted by World Health Organization (WHO) region and World Bank income level. All costs were converted and inflated to Euros (€) (2021 average exchange rate). The quality of included studies and the potential risk of bias were evaluated.Results A total of 42 publications were identified for inclusion, reporting cost data for 8 082 752 ARI episodes in older adults across 20 countries from 2001 to 2021. The majority (86%) of studies involved high-income countries based in Europe, North America and Western Pacific. The mean cost per episode was €17 803.9 for inpatient management and €128.9 for outpatient management. Compared with costs reported for patients aged <65 years, inpatient costs were €154.1, €7 018.8 and €8 295.6 higher for patients aged 65-74 years, 75-84 years and over 85 years. ARI management of at-risk patients with comorbid conditions and patients requiring higher level of care, incurred substantially higher costs for hospitalization: €735.9 and €1317.3 respectively.Conclusions ARIs impose a substantial economic burden on health systems, governments, patients and societies. This study identified high ARI management costs in older adults, reinforcing calls for investment by global health players to quantify and address the scale of the challenge. There are large gaps in data availability from low-income countries, especially from South East Asia and Africa regions.Acute respiratory infections (ARIs) accounted for an estimated 3.9 million deaths worldwide in 2015, of which 56% were in adults aged 60 years or older [1]. The global reduction in paediatric lower respiratory infection mortality illustrates the potential effectiveness of public health interventions such as increased vaccine coverage for Streptococcus pneumoniae and Haemophilus influenzae type B. To reduce the age-related inequalities in public health priorities, attention and resources must Data extractionWe extracted data on cost per patient, per ARI episode and the overall cost of ARI inpatient and outpatient management. Cost per episode included direct medical, non-medical and indirect costs of ARI management. Direct medical costs included costs related to medication, diagnostic tests, medical staff time and hospital stay. Direct non-medical costs included those related to food, transportation and accommodation. Any additional data on indirect costs such as caregivers' time and productivity losses were also recorded, where available. Five rese...

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Introduction Numerous frailty tools and definitions have been described. Amongst hospitalised patients, the validity of face-to-face instruments may be confounded by acute illness. However, patient assessment after recovery at the point of hospital discharge, or recognition of electronic health record (EHR) frailty markers, may overcome this issuep. Methods In a consented, prospective observational cohort study, we recruited patients ≥70 years old within 24 hours of expected discharge from the cardiology ward of the Royal Infirmary of Edinburgh. Three established frailty instruments were tested: the Fried phenotype, Short Physical Performance Battery and nurse-administered Clinical Frailty Scale (CFS). An unweighted 32-item EHR score was generated using frailty markers (e.g. falls risk, continence, cognition) recorded within mandated admission documentation. Comorbidity was assessed by count of chronic health conditions. Outcomes were a 90-day composite of unplanned readmission or death and 12-month mortality. Adjusted Cox modelling determined the hazard ratio (HR) per standard deviation increase in each frailty score. Results 186 patients (mean age 79 ± 6 years, 64% male) were included, of whom 55 (30%) had a 90-day composite outcome, and 21 (11%) died within 12 months. All four frailty tools were moderately correlated with age and comorbidity (Pearson’s r 0.21 to 0.43, all p &lt; 0.05). The Fried phenotype (HR 1.47, 95% CI 1.18–1.81), CFS (HR 1.24, 95% CI 1.01–1.51) and EHR score (HR 1.26, 95% CI 1.03–1.55) independently predicted 90-day readmission or death, after adjustment for age, sex and comorbidity. All frailty instruments were independent predictors of 12-month mortality, with age, sex and comorbidity losing predictive power (p &gt; 0.05) once frailty was included in modelling. Conclusions At hospital discharge, the Fried phenotype and CFS added to age and comorbidity in risk prediction for future unplanned readmission or death. EHR frailty markers appeared comparable to face-to-face assessment. An automated trigger for high-risk patients using routine EHR data merits prospective evaluation.