New horizons in the analysis of hospital readmissions of older adults.

This short communication highlights analytical methods that can be usefully applied to the problem of hospital readmissions of older adults. The limitations of the models currently used in studies of hospital readmissions are described. In summary, analyses of hospital readmissions face two important methodological and statistical problems not accounted for by these currently used statistical models: the potential recurrence of readmissions, and death, a terminal event which absorbs the readmission process. Not addressing the issue raised by recurrent events and terminal event generates biased estimates. We discuss an approach for the analysis of hospital readmission risk and death in the same framework. Understanding the features of this kind of approaches is essential at a time when high-quality data on hospital readmission in older patients are becoming available to a large number of researchers. Models adapted for the analysis of recurrent and terminal events are presented, and their application to studies of hospital readmission are explained, with reference to two cohorts of several thousand older individuals.

Importance of previous hospital stays on the risk of hospital re-admission in older adults: a real-life analysis of the PAERPA study population.

BACKGROUND: consideration of the first hospital re-admission only and failure to take account of previous hospital stays, which are the two significant limitations when studying risk factors for hospital re-admission. The objective of the study was to use appropriate statistical models to analyse the impact of previous hospital stays on the risk of hospital re-admission among older patients. METHODS: an exhaustive analysis of hospital discharge and health insurance data for a cohort of patients participating in the PAERPA ('Care Pathways for Elderly People at Risk of Loss of Personal Independence') project in the Hauts de France region of France. All patients aged 75 or over were included. All data on hospital re-admissions via the emergency department were extracted. The risk of unplanned hospital re-admission was estimated by applying a semiparametric frailty model, the risk of death by applying a time-dependent semiparametric Cox regression model. RESULTS: a total of 24,500 patients (median [interquartile range] age: 81 [77-85]) were included between 1 January 2015 and 31 December 2017. In a multivariate analysis, the relative risk (95% confidence interval [CI]) of hospital re-admission rose progressively from 1.8 (1.7-1.9) after one previous hospital stay to 3.0 (2.6-3.5) after five previous hospital stays. The relative risk [95%CI] of death rose slowly from 1.1 (1.07-1.11) after one previous hospital stay to 1.3 (1.1-1.5) after five previous hospital stays. CONCLUSION: analyses of the risk of hospital re-admission in older adults must take account of the number of previous hospital stays. The risk of death should also be analysed.

A prospective pilot study of the T-lymphocyte response to fine particulate matter exposure.

Exposure to air pollution is associated with increased morbidity and mortality. Once the fine atmospheric particulate matter (FP) is inhaled, some of its compounds can pass through the lungs and reach the bloodstream where they can come into contact with immune cells. Exposure to FP particularly affects sensitive populations such as the elderly. Aging affects the immune system, making the elderly more vulnerable. The project aims to determine the effects of FP exposure on human T cells while looking for biomarkers associated with exposure. Blood samples from 95 healthy subjects in three different age groups (20-30, 45-55 and 70-85 years) were collected to determine a potential age effect. T lymphocytes were isolated to be exposed ex vivo for 72 hours to 45 µg/mL of FP collected in Dunkirk and chemically characterized. Overexpression of the CYP1A1, CYP1B1 and CYP2S1 genes was therefore measured after exposure of the T cells to FP. These genes code for enzymes known to be involved in the metabolic activation of organic compounds such as polycyclic aromatic hydrocarbons detected in the FP sample. T-cell profiling allowed us to suggest a mixed T-helper 1/2 profile caused by exposure to FP. With regard to the influence of age, we have observed differences in the expression of certain genes, as well as an increase in interleukin-4 and -13 concentrations in the elderly. These results showed that exposure of T lymphocytes to FP causes effects on both transcriptomic and cytokine secretion levels.

A Qualitative Analysis of the Optimal Discharge Summary: Effective Communication of Medication Changes for Older Patients.

Background: The importance of the discharge summary (DS) is well recognized. The format to be used is also important, but this aspect has not yet been studied in the literature. The purpose of this work was to establish a DS format for older patients that ensures effective communication with general practitioners (GPs). Methods: This study was based on the grounded theory approach to qualitative analysis. Data was collected from GPs during semi-structured and directive interviews. Results: Semi-structured interviews were conducted with 12 GPs and directive interviews with 39 GPs. A consensus was reached on one DS version providing selected information items such as trends in laboratory results (rising/falling) and information about planned drug withdrawals or specialist consultations. Conclusion: This work led to a consensus on the most appropriate format for the DS for older patients returning home. Its use in routine practice is needed to confirm its reception by GPs.

Evaluating the safety and short-term equivalence of colchicine versus prednisone in older patients with acute calcium pyrophosphate crystal arthritis (COLCHICORT): an open-label, multicentre, randomised trial.

BACKGROUND: Acute calcium pyrophosphate crystal arthritis causes intense joint pain mainly affecting older people. Because guidance and evidence remain scarce, management of this disease relies on expert opinion. We therefore aimed to compare the safety and short-term equivalence of low-dose colchicine with oral prednisone in older patients with acute calcium pyrophosphate crystal arthritis. METHODS: We did an open-label, multicentre, randomised, trial (COLCHICORT) at six hospitals in Paris and northern France. We enrolled patients who were admitted to hospital who were 65 years or older and who presented with acute calcium pyrophosphate crystal arthritis with a symptom duration of less than 36 h. Diagnosis of calcium pyrophosphate crystal arthritis was made by the identification of calcium pyrophosphate crystals on synovial fluid analysis or typical clinical presentation (onset of joint pain and swelling). Key exclusion criteria included absence of calcium pyrophosphate crystals on synovial fluid analysis or a history of gout. Participants were randomly allocated (1:1), using a centralised electronic treatment group allocation module, to receive either colchicine 1·5 mg on day 1 and 1 mg on day 2 (ie, the colchicine group) or oral prednisone 30 mg on days 1 and 2 (ie, the prednisone group). The primary outcome was change in joint pain (measured by visual analogue scale [VAS] from 0 mm to 100 mm) at 24 h. Equivalence was determined whether the 95% CI of the between-group difference at 24 h was within the -13 mm to +13 mm margin in the per-protocol analysis. Adverse events were recorded using the National Cancer Institute Common Terminology Criteria for Adverse Events (version 4.0). This trial is completed and is registered with ClinicalTrials.gov, NCT03128905. FINDINGS: Between Feb 5, 2018, and May 7, 2022, 111 patients who were admitted to hospital were randomly assigned (57 [51%] to the colchicine group and 54 [49%] to the prednisone group). 95 (86%) of 111 patients were included in the per-protocol analysis (49 [52%] in the colchicine group and 46 [48%] in the prednisone group). The median age was 88·0 years (IQR 82·0-91·0) and 69 (73%) of 95 participants were women and 26 (27%) were men. Acute calcium pyrophosphate crystal arthritis affected mainly the knee in 46 (48%) of 95 participants, the wrist in 19 (20%), and the ankle in 12 (13%). Pain VAS at baseline was 68 mm (SD 17). At 24 h, change in pain VAS was -36 mm (SD 32) in the colchicine group and -38 mm (SD 23) in the prednisone group. The between-group difference in change in pain VAS at 24 h was -1 mm (95% CI -12 to 10), showing equivalence between the two drugs. In the colchicine group, 12 (22%) of 55 patients had diarrhoea, one (2%) had hypertension, and none had hyperglycaemia. In the prednisone group, three (6%) of 54 had diarrhoea, six (11%) had hypertension, and three (6%) had hyperglycaemia. No deaths occurred in the colchicine group; two deaths occurred in the prednisone group, which were deemed unrelated to prednisone (one due to infectious valvular endocarditis leading to heart failure, and one due to a stroke). INTERPRETATION: Colchicine and prednisone exhibit equivalent short-term efficacy for the treatment of acute calcium pyrophosphate crystal arthritis, with different safety profiles in the older population. FUNDING: French Inter-regional Hospital Program of Clinical Research.

Terms used by physicians when deciding to withhold treatment for older patients not having received palliative care in an acute geriatric care unit.

PURPOSE: There are no guidelines or consensus statements on the terms to be used when discussing withholding of treatment for patients in acute geriatric care units and who have not received palliative care. The objective of the present study was to analyze the terms used in medical records to refer to the withholding of treatment for patients who died in an acute geriatric care unit and did not receive palliative care. METHODS: We conducted an ambispective multicentre cohort study based on the DAMAGE study. Data on 53 patients who died in the acute geriatric care unit and who had not received palliative care were extracted from medical records. The verbatims referring to the withholding of treatment were analyzed in terms of keywords and then key concepts, as defined by several reviewers in a consensus-based approach. RESULTS: The mean age of the patients was 86.4 years, 34.1% were male. Terms referring to the withholding of treatment were found for 25 of the 53 patients (47.2%). Most of the decisions on the withholding of treatment were recorded in the week following admission to the acute geriatric care unit. Our analysis of the terms identified 11 key concepts: treatment limitation, no resuscitation, withholding diagnostic procedures, justification of care, ethical considerations, disease progression, uncertainty, the patient's wishes, the family's wishes, patient's comfort, and collegiality. The terms used to describe key concepts varied markedly from one physician to another. CONCLUSION: Decisions about the withholding of treatment are frequently noted in the medical records of patients who die in the acute geriatric care unit without having received palliative care. The broad variety of key concepts and differences in the choice of words highlight the need for standardized terms.

Transition to Comfort Care Only and End-of-Life Trajectories in an Acute Geriatric Unit: A Secondary Analysis of the DAMAGE Cohort.

OBJECTIVES: Comfort care for a dying patient increases the quality of the end of life. End-of-life situations are frequently managed in acute geriatric units (AGUs), and transition to comfort care only is often necessary. However, the frequency of transition to comfort care and the latter's putative link with the end-of-life trajectory (sudden death, cancer, organ failure, and frailty with or without dementia) have not previously been studied in acute geriatric units. We sought to (1) describe end-of-life trajectories and the transition to comfort care only, and (2) analyse the relationship between the two, prior to death in an AGU. DESIGN: A secondary analysis of a subgroup of the DAMAGE cohort (a prospective multicentre cohort of 3509 patients aged 75 years and over and admitted consecutively to an AGU). SETTING/PARTICIPANTS: DAMAGE patients who died in an AGU after a stay of at least 48 hours. METHODS: Data on the end-of-life trajectory and the transition to comfort care only were extracted from medical records. RESULTS: Of the 177 included patients, 123 (69.5%) transitioned to comfort care only in the AGU. A frailty trajectory (in patients living with dementia or not) accounted for nearly 70% of deaths. Paradoxically, only frailty among people living without dementia was not significantly associated with a more frequent transition to comfort care [odds ratio (95% confidence interval): 1.44 (0.44-4.76), relative to a patient dying suddenly]. CONCLUSIONS AND IMPLICATIONS: Transition to comfort care only is frequent in AGUs and is linked to the end-of-life trajectory (except for frail patients living without dementia). The frailty trajectory is one of the most frequent, and, therefore, physicians must be aware of the need to improve practice in this context.

Factors Associated with Transfer from an Acute Geriatric Unit to a Post-Acute Care Facility among Community-Dwelling Patients: Results from the DAMAGE Cohort.

Background: Acute geriatric units (AGUs) require efficient discharge planning tools. Risk factors for discharge from an AGU to post-acute care (PAC) have not previously been investigated in detail. Methods: The objective is to identify risk factors for PAC transfer. The DAMAGE (prospective multicenter cohort) consecutively included more than 3500 subjects aged 75 or older and admitted to an AGU. The patients underwent a comprehensive geriatric assessment (CGA) during their stay in the AGU. Only community-dwelling patients admitted to the AGU from the emergency department were included in the analysis. We recorded the characteristics of the care pathway and identified risk factors for discharge to home or to a PAC facility. Results: 1928 patients were included. Loss of functional independence (a decrease in the Katz activities of daily living (ADL) score between 1 month prior to admission and AGU admission), living alone, social isolation, a high Katz ADL score at home, a low Katz ADL on admission, and delirium on admission were risk factors for transfer to PAC. Obesity, an elevated serum albumin level, and community-acquired infection were associated with discharge to home. Neither sex nor age was a risk factor for home discharge or transfer to PAC. Conclusion: The present results might help clinicians and discharge planning teams to identify patients at risk of transfer to PAC more reliably and promptly in AGUs.

Development of a Predictive Score for Mortality at 3 and 12 Months After Discharge From an Acute Geriatric Unit as a Trigger for Advanced Care Planning.

BACKGROUND: There is a need for a mortality score that can be used to trigger advanced care planning among older patients discharged from acute geriatric units (AGUs). OBJECTIVE: We developed a prognostic score for 3- and 12-month mortality after discharge from an AGU, based on a comprehensive geriatric assessment, in-hospital events, and the exclusion of patients already receiving palliative care. METHODS: Devenir Après la Médecine Aigue Gériatrique (DAMAGE) is a French multicenter, prospective, cohort study. The broad inclusion criteria ensured that the cohort is representative of patients treated in an AGU. The DAMAGE participants underwent a comprehensive geriatric assessment, a daily clinical checkup, and follow-up visits 3 and 12 months after discharge. Multivariable logistic regression models were used to develop a prognostic score for the derivation and validation subsets. RESULTS: A total of 3 509 patients were assessed and 3 112 were included. The patient population was very old and frail or dependant, with a high proportion of deaths at 3 months (n = 455, 14.8%) and at 12 months (n = 1 014, 33%). The score predicted an individual risk of mortality ranging from 1% to 80% at 3 months and between 5% and 93% at 12 months, with an area under the receiving operator characteristic curve in the validation cohort of 0.728 at 3 months and 0.733 at 12 months. CONCLUSIONS: Our score predicted a broad range of risks of death after discharge from the AGU. Having this information at the time of hospital discharge might trigger a discussion on advanced care planning and end-of-life care with very old, frail patients. Clinical Trials Registration Number: NCT02949635.

Proposition of a structured list of information items to be transmitted to primary caregivers after in-hospital medication optimization: a qualitative study.

Background and objective: Defective transmission of drug information during the transition from hospital to home care are causes of adverse drug reactions in older patients. We aimed to reach a consensus concerning information about changes in treatment to be transmitted to primary caregivers when an older patient is discharged from hospital.Methods: A qualitative focus group study was conducted with general practitioners, geriatricians, community pharmacists, and hospital pharmacists providing care for older patients. Four steps were used to reach a focus group consensus: 1) presentation of the purpose of the focus group; 2) generation and enumeration of ideas; 3) sharing opinions about these ideas; 4) voting to create a list of ranked items. The process involved three focus groups.Results: A consensus was reached on ten items: indication for continued, discontinued, newly introduced or changed treatments and their duration; reasons for discontinuing drugs or introducing new drugs; information about re-evaluating treatments; reasons for hospital stay, significant elements and diagnosis at discharge; administrative information concerning the patient; the name of the primary care physician, and the discharging hospital unit and the physician(s) in charge; known allergies, information about liver and kidney failure; main adverse effects to monitor; date of latest blood tests; hospital admission/discharge dates.Conclusion: The consensus on the list of information items concerning changes in the treatment should be used by hospital physicians and pharmacists to ensure safe patient discharge.

Association between anticholinergic burden and hospital readmission in older patients: a prospective analysis.

OBJECTIVE: Despite known adverse effects of anticholinergic (AC) medication, little work has been devoted to the impact of high anticholinergic burden on the rate of hospital readmission. The purpose of this study was to analyze prospectively the link between high AC burden and the rate of all-cause thirty-day hospital readmission in older people. STUDY DESIGN: This was a prospective non-interventional study conducted from January to August 2019 in one acute-care geriatric ward. All hospital stays of patients aged at least 75 years who were discharged to their home were included in the analysis. AC burden was determined from discharge prescriptions using the Anticholinergic Drug Scale (ADS) and the Anticholinergic Risk Scale (ARS), and defined as high if ≥3. RESULTS: The analysis concerned 350 hospital stays. Median patient age was 88 years (interquartile interval 84-91). In a multivariate analysis, the risk of hospital readmission within 30 days was not increased for patients with high AC burden (ADS≥3): odds ratio 1.16 [95% confidence interval 0.56-2.37], compared to a patient whose anticholinergic burden was not high. CONCLUSION: Unlike retrospective studies on this issue, the findings of our prospective analysis do not support a higher risk of hospital admission within 30 days for older people with high AC burden as assessed from their discharge prescriptions.

Risk Factors for Hospital Readmission and Death After Discharge of Older Adults from Acute Geriatric Units: Taking the Rank of Admission into Account.

OBJECTIVE: To analyze the impact of the number of hospital readmissions on the risks of further hospital readmission and death after adjustment for a range of risk factors. METHODS: We performed a multicentre prospective study of the DAMAGE cohort in the Hauts-de-France region of France. Patients aged 75 and over hospitalized initially in an acute geriatric unit (AGU) were included and followed up for 12 months. The risk of hospital readmission was analyzed using a Cox model, and its extension for recurrent events and the risk of death were analyzed using a Cox model for time-dependent variables. RESULTS: A total of 3081 patients were included (mean (SD) age: 86.4 (5.5)). In the multivariate analysis, the relative risk (95% confidence interval [CI]) of hospital readmission rose progressively to 2.66 (1.44; 5.14), and the risk of death rose to 2.01 (1.23; 3.32) after five hospital admissions, relative to a patient with no hospital readmissions. The number of hospital readmissions during the follow-up period was the primary risk factor and the best predictor of the risk of hospital readmission and the risk of death. CONCLUSION: Hospital readmission is the primary risk factor for further hospital readmissions and for death in older subjects discharged from an AGU.