Risk Factors for Falls Among Hospitalized Medical Patients - A Systematic Review and Meta-analysis.

OBJECTIVE: To identify and quantify risk factors for in-hospital falls in medical patients. DATA SOURCES: Six databases (MEDLINE, Embase, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, CINAHL, and Google Scholar) were systematically screened until April 11, 2023, to identify relevant articles. STUDY SELECTION: All titles and abstracts of the retrieved articles were independently screened by 2 researchers who also read the full texts of the remaining articles. Quantitative studies that assessed risk factors for falls among adult patients acutely hospitalized were included in the review. Publications that did not capture internal medicine patients or focused on other specific populations were excluded. DATA EXTRACTION: Information on study characteristics and potential risk factors were systematically extracted. Risk of bias was assessed using the Quality in Prognosis Studies tool. Preferred Reporting Items for Systematic Reviews and Meta-Analyses and Meta-analyses of Observational Studies in Epidemiology guidelines were followed for reporting. DATA SYNTHESIS: The main outcome was any in-hospital falls. Using a random-effects meta-analysis model, association measures for each risk factor reported in 5 or more studies were pooled. Separate analyses according to effect measure and studies adjusted for sex and age at least were performed. Of 5067 records retrieved, 119 original publications from 25 countries were included. In conclusion, 23 potential risk factors were meta-analyzed. Strong evidence with large effect sizes was found for a history of falls (odds ratio [OR], 2.54; 95% confidence interval [CI], 1.63-3.96; I2, 91%), antidepressants (pooled OR, 2.25; 95% CI, 1.92-2.65; I2, 0%), benzodiazepines (OR, 1.97; 95% CI, 1.68-2.31; I2, 0%), hypnotics-sedatives (OR, 1.90; 95% CI, 1.53-2.36; I2, 46%), and antipsychotics (OR, 1.61; 95% CI, 1.33-1.95; I2, 0%). Furthermore, evidence of associations with male sex (OR, 1.22, 95% CI, 0.99-1.50; I2, 65%) and age (OR, 1.17, 95% CI, 1.02-1.35; I2, 72%) were found, but effect sizes were small. CONCLUSIONS: The comprehensive list of risk factors, which specifies the strength of evidence and effect sizes, could assist in the prioritization of preventive measures and interventions.

Barriers, facilitators and needs to deprescribe benzodiazepines and other sedatives in older adults: a mixed methods study of primary care provider perspectives.

BACKGROUND: Benzodiazepines and other sedative hypnotic drugs (BSHs) are frequently prescribed for sleep problems, but cause substantial adverse effects, particularly in older adults. Improving knowledge on barriers, facilitators and needs of primary care providers (PCPs) to BSH deprescribing could help reduce BSH use and thus negative effects. METHODS: We conducted a mixed methods study (February-May 2023) including a survey, semi-structured interviews and focus groups with PCPs in Switzerland. We assessed barriers, facilitators and needs of PCPs to BSH deprescribing. Quantitative data were analyzed descriptively, qualitative data deductively and inductively using the Theoretical Domain Framework (TDF). Quantitative and qualitative data were integrated using meta-interferences. RESULTS: The survey was completed by 126 PCPs (53% female) and 16 PCPs participated to a focus group or individual interview. The main barriers to BSH deprescribing included patient and PCP lack of knowledge on BSH effects and side effects, lack of PCP education on treatment of sleep problems and BSH deprescribing, patient lack of motivation, PCP lack of time, limited access to cognitive behavioral therapy for insomnia and absence of public dialogue on BSHs. Facilitators included informing on side effects to motivate patients to discontinue BSHs and start of deprescribing during a hospitalization. Main PCP needs were practical recommendations for pharmacological and non-pharmacological treatment of sleep problems and deprescribing schemes. Patient brochures were wished by 69% of PCPs. PCPs suggested the brochures to contain explanations about risks and benefits of BSHs, sleep hygiene and sleep physiology, alternative treatments, discontinuation process and tapering schemes. CONCLUSION: The barriers and facilitators as well as PCP needs and opinions on patient material we identified can be used to develop PCP training and material on BSH deprescribing, which could help reduce the inappropriate use of BSHs for sleep problems.

Impact of an INtervention to increase MOBility in older hospitalized medical patients (INTOMOB): Study protocol for a cluster randomized controlled trial.

BACKGROUND: Low mobility during an acute hospitalization is frequent and associated with adverse effects, including persistent functional decline, institutionalization and death. However, we lack effective interventions to improve mobility that are scalable in everyday practice. The INTOMOB trial - INtervention to increase MOBility in older hospitalized medical patients - will test the effect of a multilevel intervention to improve mobility of older hospitalized patients on functional mobility. METHODS: The INTOMOB multicenter superiority parallel cluster randomized controlled trial will enroll in total 274 patients in Swiss hospitals. Community-dwelling adults aged ≥ 60 years, admitted to a general internal medicine ward with an anticipated length of hospital stay of ≥ 3 days, will be eligible for participation. Unit of randomization will be the wards. A multilevel mobility intervention will be compared to standard of care and target the patients (information and exercise booklets, mobility diary, iPad with exercise videos), healthcare professionals (e-learning, oral presentation, mobility checklist), and environment (posters and pictures on the wards). The primary outcome will be life-space level, measured by the University of Alabama at Birmingham Study of Aging Life-Space Assessment (LSA), at 30 days after enrollment. The LSA is a measure of functional mobility, i.e., how far participants move from bedroom to outside town. Secondary outcomes include, among others, LSA at 180 days, mobility and falls during hospitalization, muscle strength at discharge, and falls, emergency room visits, readmissions, and death within 180 days. DISCUSSION: This study has the potential to improve outcomes of older hospitalized patients through an intervention that should be scalable in clinical practice because it fosters patient empowerment and does not require additional resources. The tools provided to the patients can help them implement better mobility practices after discharge, which can contribute to better functional outcomes. The choice of a functional patient-reported outcome measure as primary outcome (rather than a "simple" objective mobility measure) reinforces the patient-centeredness of the study. TRIAL REGISTRATION: clinicaltrials.gov (NCT05639231, released on December 19 2022); Swiss National Clinical Trial Portal (SNCTP000005259, released on November 28 2022).

Feasibility and Acceptability of an INtervention TO Increase MOBility in Older Hospitalized Medical Patients (INTOMOB): A Mixed-Methods Pilot Study.

Background: To reduce adverse outcomes of low hospital mobility, we need interventions that are scalable in everyday practice. This study assessed the feasibility and acceptability of the INTOMOB multilevel intervention addressing barriers to hospital mobility without requiring unavailable resources. Methods: The INTOMOB intervention, targeting older patients, healthcare professionals (HCPs) and the hospital environment, was implemented on acute general internal medicine wards of three hospitals (12/2022-03/2023). Feasibility and acceptability of the intervention were assessed and two types of accelerometers compared in a mixed methods study (patient and HCP surveys and interviews). Quantitative data were analyzed descriptively and qualitative data using a deductive approach. Results were integrated through meta-inferences. Results: Of 20 patients (mean age 74.1 years), 90% found the intervention helpful and 82% said the environment intervention (posters) stimulated mobility. The majority of 44 HCPs described the intervention as clear and helpful. There was no major implementation or technical issue. About 60% of patients and HCPs preferred a wrist-worn over an ankle-worn accelerometer. Conclusions: The INTOMOB intervention is feasible and well accepted. Patients' and HCPs' feedback allowed to further improve the intervention that will be tested in a cluster randomized trial and provides useful information for future mobility-fostering interventions.

Perspectives of patients and clinicians on older patient mobility on acute medical wards: a qualitative study.

BACKGROUND: Low mobility during an acute care medical hospitalization is frequent and associated with adverse outcomes, particularly among older patients. Better understanding barriers and facilitators to improve mobility during hospitalization could help develop effective interventions. The goal of this study was to assess barriers and facilitators to older medical patients' hospital mobility, from the point of view of patients and clinicians, to develop a framework applicable in clinical practice. METHODS: We conducted a qualitative study in one university and two non-university hospitals of two different language and cultural regions of Switzerland, including 13 focus groups (FGs; five with patients, eight with clinicians). We included 24 adults aged 60 years or older hospitalized on an acute general internal medicine ward of one of the three participating hospitals during the previous years, and 34 clinicians (15 physicians, nine nurses/nursing assistants, 10 physiotherapists) working on those wards. The FG guides included open-ended questions exploring mobility experiences, expectations, barriers and facilitators to mobility, consequences of low mobility and knowledge on mobility. We applied an inductive thematic analysis. RESULTS: We identified four themes of barriers and facilitators to mobility: 1) patient-related factors; 2) clinician-related factors; 3) social interactions; and 4) non-human factors. Clinician-related factors were only mentioned in clinician FGs. Otherwise, subthemes identified from patient and clinician FGs were similar and codes broadly overlapped. Subthemes included motivation, knowledge, expectations, mental and physical state (theme 1); process, knowledge - skills, mental state - motivation (theme 2); interpersonal relationships, support (theme 3); hospital setting - organization (theme 4). CONCLUSIONS: From patients' and clinicians' perspectives, a broad spectrum of human and structural factors influences mobility of older patients hospitalized on an acute general internal medicine ward. New factors included privacy issues and role perception. Many of those factors are potentially actionable without additional staff resources. This study is a first step in participatory research to improve mobility of older medical inpatients.

Drug-related readmissions in older hospitalized adults: External validation and updating of OPERAM DRA prediction tool.

BACKGROUND: Drug-related readmissions (DRAs) are defined as rehospitalizations with an adverse drug event as their main or significant contributory cause. DRAs represent a major adverse health burden for older patients. A prediction model which identified older hospitalized patients at high risk of a DRA <1 year was previously developed using the OPERAM trial cohort, a European cluster randomized controlled trial including older hospitalized patients with multimorbidity and polypharmacy. This study has performed external validation and updated the prediction model consequently. METHODS: The MedBridge trial cohort (a multicenter cluster randomized crossover trial performed in Sweden) was used as a validation cohort. It consisted of 2516 hospitalized patients aged ≥65 years. Model performance was assessed by: (1) discriminative power, assessed by the C-statistic with a 95% confidence interval (CI); (2) calibration, assessed by visual examination of the calibration plot and use of the Hosmer-Lemeshow goodness-of-fit test; and (3) overall accuracy, assessed by the scaled Brier score. Several updating methods were carried out to improve model performance. RESULTS: In total, 2516 older patients were included in the validation cohort, of whom 582 (23.1%) experienced a DRA <1 year. In the validation cohort, the original model showed a good overall accuracy (scaled Brier score 0.03), but discrimination was moderate (C-statistic 0.62 [95% CI 0.59-0.64]), and calibration showed underestimation of risks. In the final updated model, the predictor "cirrhosis with portal hypertension" was removed and "polypharmacy" was added. This improved the model's discriminative capability to a C-statistic of 0.64 (95% CI 0.59-0.70) and enhanced calibration plots. Overall accuracy remained good. CONCLUSIONS: The updated OPERAM DRA prediction model may be a useful tool in clinical practice to estimate the risk of DRAs in older hospitalized patients subsequent to discharge. Our efforts lay the groundwork for the future development of models with even better performance.

Overtreatment and associated risk factors among multimorbid older patients with diabetes.

BACKGROUND: In multimorbid older patients with type 2 diabetes mellitus (T2DM), the intensity of glucose-lowering medication (GLM) should be focused on attaining a suitable level of glycated hemoglobin (HbA1c ) while avoiding side effects. We aimed at identifying patients with overtreatment of T2DM as well as associated risk factors. METHODS: In a secondary analysis of a multicenter study of multimorbid older patients, we evaluated HbA1c levels among patients with T2DM. Patients were aged ≥70 years, with multimorbidity (≥3 chronic diagnoses) and polypharmacy (≥5 chronic medications), enrolled in four university medical centers across Europe (Belgium, Ireland, Netherlands, and Switzerland). We defined overtreatment as HbA1c < 7.5% with ≥1 GLM other than metformin, as suggested by Choosing Wisely and used prevalence ratios (PRs) to evaluate risk factors of overtreatment in age- and sex-adjusted analyses. RESULTS: Among the 564 patients with T2DM (median age 78 years, 39% women), mean ± standard deviation HbA1c was 7.2 ± 1.2%. Metformin (prevalence 51%) was the most frequently prescribed GLM and 199 (35%) patients were overtreated. The presence of severe renal impairment (PR 1.36, 1.21-1.53) and outpatient physician (other than general practitioner [GP], i.e. specialist) or emergency department visits (PR 1.22, 1.03-1.46 for 1-2 visits, and PR 1.35, 1.19-1.54 for ≥3 visits versus no visits) were associated with overtreatment. These factors remained associated with overtreatment in multivariable analyses. CONCLUSIONS: In this multicountry study of multimorbid older patients with T2DM, more than one third were overtreated, highlighting the high prevalence of this problem. Careful balancing of benefits and risks in the choice of GLM may improve patient care, especially in the context of comorbidities such as severe renal impairment, and frequent non-GP healthcare contacts.

Prescribing, deprescribing and potential adverse effects of proton pump inhibitors in older patients with multimorbidity: an observational study.

BACKGROUND: Proton pump inhibitors (PPIs) contribute to polypharmacy and are associated with adverse effects. As prospective data on longitudinal patterns of PPI prescribing in older patients with multimorbidity are lacking, we sought to assess patterns of PPI prescribing and deprescribing, as well as the association of PPI use with hospital admissions over 1 year in this population. METHODS: We conducted a prospective, longitudinal cohort study using data from the Optimizing Therapy to Prevent Avoidable Hospital Admissions in Multimorbid Older Adults (OPERAM) trial, a randomized controlled trial testing an intervention to reduce inappropriate prescribing (2016-2018). This trial included adults aged 70 years and older with at least 3 chronic conditions and prescribed at least 5 chronic medications. We assessed prevalence of PPI use at time of hospital admission, and new prescriptions and deprescribing at discharge, and at 2 months and 1 year after discharge, by intervention group. We used a regression with competing risk for death to assess the association of PPI use with readmissions related to their potential adverse effects, and all-cause readmission. RESULTS: Overall, 1080 (57.4%) of 1879 patients (mean age 79 yr) had PPI prescriptions at admission, including 496 (45.9%) patients with a potentially inappropriate indication. At discharge, 133 (24.9%) of 534 patients in the intervention group and 92 (16.8%) of 546 patients in the control group who were using PPIs at admission had deprescribing. Among 680 patients who were not using PPIs at discharge, 47 (14.6%) of 321 patients in the intervention group and 40 (11.1%) of 359 patients in the control group had a PPI started within 2 months. Use of PPIs was associated with all-cause readmission (n = 770, subdistribution hazard ratio 1.31, 95% confidence interval 1.12-1.53). INTERPRETATION: Potentially inappropriate use of PPI, new PPI prescriptions and PPI deprescribing were frequent among older adults with multimorbidity and polypharmacy. These data suggest that persistent PPI use may be associated with clinically important adverse effects in this population.

Multimorbidity and long-term disability and physical functioning decline in middle-aged and older Americans: an observational study.

BACKGROUND: Multimorbidity is highly prevalent and associated with several adverse health outcomes, including functional limitations. While maintaining physical functioning is relevant for all adults, identifying those with multimorbidity at risk for faster rates of physical functioning decline may help to target interventions to delay the onset and progression of disability. We quantified the association of multimorbidity with rates of long-term disability and objective physical functioning decline. METHODS: In the Health and Retirement Study, we computed the Multimorbidity-Weighted Index (MWI) by assigning previously validated weights (based on physical functioning) to each chronic condition. We used an adjusted negative binomial regression to assess the association of MWI with disability (measured by basic and instrumental activities of daily living [ADLs, IADLs]) over 16 years, and linear mixed effects models to assess the association of MWI with gait speed and grip strength over 8 years. RESULTS: Among 16,616 participants (mean age 67.3, SD 9.7 years; 57.8% women), each additional MWI point was associated with a 10% increase in incidence rate of disability (IRR: 1.10; 95%CI: 1.09, 1.10). In 2,748 participants with data on gait speed and grip strength, each additional MWI point was associated with a decline in gait speed of 0.004 m/s (95%CI: -0.006, -0.001). The association with grip strength was not statistically significant (-0.01 kg, 95%CI: -0.73, 0.04). The rate of decline increased with time for all outcomes, with a significant interaction between time and MWI for disability progression only. CONCLUSION: Multimorbidity, as weighted on physical functioning, was associated with long-term disability, including faster rates of disability progression, and decline in gait speed. Given the importance of maintaining physical functioning and preserving functional independence, MWI is a readily available tool that can help identify adults to target early on for interventions.

Incidence of and predictors for antiseizure medication gaps in Medicare beneficiaries with epilepsy: a retrospective cohort study.

BACKGROUND: For the two-thirds of patients with epilepsy who achieve seizure remission on antiseizure medications (ASMs), patients and clinicians must weigh the pros and cons of long-term ASM treatment. However, little work has evaluated how often ASM discontinuation occurs in practice. We describe the incidence of and predictors for sustained ASM fill gaps to measure discontinuation in individuals potentially eligible for ASM withdrawal. METHODS: This was a retrospective cohort of Medicare beneficiaries. We included patients with epilepsy by requiring International Classification of Diseases codes for epilepsy/convulsions plus at least one ASM prescription each year 2014-2016, and no acute visit for epilepsy 2014-2015 (i.e., potentially eligible for ASM discontinuation). The main outcome was the first day of a gap in ASM supply (30, 90, 180, or 360 days with no pills) in 2016-2018. We displayed cumulative incidence functions and identified predictors using Cox regressions. RESULTS: Among 21,819 beneficiaries, 5191 (24%) had a 30-day gap, 1753 (8%) had a 90-day gap, 803 (4%) had a 180-day gap, and 381 (2%) had a 360-day gap. Predictors increasing the chance of a 180-day gap included number of unique medications in 2015 (hazard ratio [HR] 1.03 per medication, 95% confidence interval [CI] 1.01-1.05) and epileptologist prescribing physician (≥25% of that physician's visits for epilepsy; HR 2.37, 95% CI 1.39-4.03). Predictors decreasing the chance of a 180-day gap included Medicaid dual eligibility (HR 0.75, 95% CI 0.60-0.95), number of unique ASMs in 2015 (e.g., 2 versus 1: HR 0.37, 95% CI 0.30-0.45), and greater baseline adherence (> 80% versus ≤80% of days in 2015 with ASM pill supply: HR 0.38, 95% CI 0.32-0.44). CONCLUSIONS: Sustained ASM gaps were rarer than current guidelines may suggest. Future work should further explore barriers and enablers of ASM discontinuation to understand the optimal discontinuation rate.

Comparison of 6 Mortality Risk Scores for Prediction of 1-Year Mortality Risk in Older Adults With Multimorbidity.

Importance: The most appropriate therapy for older adults with multimorbidity may depend on life expectancy (ie, mortality risk), and several scores have been developed to predict 1-year mortality risk. However, often, these mortality risk scores have not been externally validated in large sample sizes, and a head-to-head comparison in a prospective contemporary cohort is lacking. Objective: To prospectively compare the performance of 6 scores in predicting the 1-year mortality risk in hospitalized older adults with multimorbidity. Design, Setting, and Participants: This prognostic study analyzed data of participants in the OPERAM (Optimising Therapy to Prevent Avoidable Hospital Admissions in Multimorbid Older People) trial, which was conducted between December 1, 2016, and October 31, 2018, in surgical and nonsurgical departments of 4 university-based hospitals in Louvain, Belgium; Utrecht, the Netherlands; Cork, Republic of Ireland; and Bern, Switzerland. Eligible participants in the OPERAM trial had multimorbidity (≥3 coexisting chronic diseases), were aged 70 years or older, had polypharmacy (≥5 long-term medications), and were admitted to a participating ward. Data were analyzed from April 1 to September 30, 2020. Main Outcomes and Measures: The outcome of interest was any-cause death occurring in the first year of inclusion in the OPERAM trial. Overall performance, discrimination, and calibration of the following 6 scores were assessed: Burden of Illness Score for Elderly Persons, CARING (Cancer, Admissions ≥2, Residence in a nursing home, Intensive care unit admit with multiorgan failure, ≥2 Noncancer hospice guidelines) Criteria, Charlson Comorbidity Index, Gagné Index, Levine Index, and Walter Index. These scores were assessed using the following measures: Brier score (0 indicates perfect overall performance and 0.25 indicates a noninformative model); C-statistic and 95% CI; Hosmer-Lemeshow goodness-of-fit test and calibration plots; and sensitivity, specificity, and positive and negative predictive values. Results: The 1879 patients in the study had a median (IQR) age of 79 (74-84) years and 835 were women (44.4%). The median (IQR) number of chronic diseases was 11 (8-16). Within 1 year, 375 participants (20.0%) died. Brier scores ranged from 0.16 (Gagné Index) to 0.24 (Burden of Illness Score for Elderly Persons). C-statistic values ranged from 0.62 (95% CI, 0.59-0.65) for Charlson Comorbidity Index to 0.69 (95% CI, 0.66-0.72) for the Walter Index. Calibration was good for the Gagné Index and moderate for other mortality risk scores. Conclusions and Relevance: Results of this prognostic study suggest that all 6 of the 1-year mortality risk scores examined had moderate prognostic performance, discriminatory power, and calibration in a large cohort of hospitalized older adults with multimorbidity. Overall, none of these mortality risk scores outperformed the others, and thus none could be recommended for use in daily clinical practice.

Barriers and facilitators to mobility of patients hospitalised on an acute medical ward: a systematic review.

BACKGROUND: low patient mobility is common during hospitalisation and is associated with adverse outcomes. To change practice, interventions should address barriers and facilitators to mobility. Our aim was to systematically review the literature to provide a synthesised overview of patient-, health care professional (HCP)- and environment-/system-related barriers and facilitators to mobility of patients hospitalised on an acute care medical ward. METHODS: we searched Medline, Embase, PsycInfo, Web of Science Core Collection, Cochrane CENTRAL, CINHAHL and Google Scholar (inception to 18 October 2021) to identify studies reporting barriers and/or facilitators to mobility of adults hospitalised on an acute medical ward. We applied a deductive and inductive thematic analysis to classify barriers and facilitators into themes and subthemes relevant for clinical practice. RESULTS: among 26 studies (16 qualitative, 7 quantitative and 3 mixed methods), barriers and facilitators were categorised into 10 themes: patient situation, knowledge, beliefs, experiences, intentions, emotions, social influences, role/identity, implementation/organisation and environment/resources. Barriers included patient characteristics (e.g. impaired cognitive/physical status) and symptoms, HCPs prioritising other tasks over mobility, HCPs labelling patients as 'too sick', fear of injury, lack of time, lack of clarity about responsibility, patient medical devices and non-encouraging environment. Facilitators included knowledge of mobility importance, HCP skills, interdisciplinarity, documentation and unit expectations, encouraging staff, goal individualisation, activity programme, family/visitor/volunteer support and availability of equipment. CONCLUSION: this synthesised overview of patient-, HCP- and environment-/system-related barriers and facilitators to mobility of adults hospitalised on an acute medical ward can help researchers and clinicians focus on what can realistically be influenced to improve mobility. SYSTEMATIC REVIEW REGISTRATION: PROSPERO, CRD42021285954.

Evaluating alternative methods of comparing antihypertensive treatment intensity.

OBJECTIVES: To change blood pressure treatment, clinicians can modify medication count or dose. However, existing studies have measured count modification, which may miss clinically important dose change in the absence of count change. This research demonstrates how dose modification captures more information about management than medication count alone. STUDY DESIGN: Retrospective cohort study. METHODS: We included patients 65 years and older with established primary care at the Veterans Health Administration (July 2011-June 2013). We captured medication count and standardized dose change over 90 to 120 days using a validated pharmacy fill algorithm. We determined frequency of dose change without count change (and vice versa), no change in either, change in same direction ("concordant"), and change in opposite direction ("discordant"). We compared change according to systolic blood pressure (SBP) and compared concordance using a minimum threshold definition of dose change of at least 50% (instead of any change) of baseline dose modification. RESULTS: Among 440,801 patients, 64.2% had dose change; 22.0%, count change; 35.6%, no change in either; 42.4%, dose change without count modification; and 0.2%, count change without dose modification. Discordance occurred in 2.1% of observations. Using the minimum threshold definition of change, 68.7% had no change in either dose or count. Treatment was more frequently changed at SBP greater than 140 mm Hg. CONCLUSIONS: Measuring change in antihypertensive treatment using medication count frequently missed an isolated dose change in treatment modification and less often misclassified regimen modifications where there was no modification in total dose. In future research, measuring dose modification using our new algorithm would capture change in hypertension treatment intensity more precisely than current methods.

Definition of patient complexity in adults: A narrative review.

Background: Better identification of complex patients could help to improve their care. However, the definition of patient complexity itself is far from obvious. We conducted a narrative review to identify, describe, and synthesize the definitions of patient complexity used in the last 25 years. Methods: We searched PubMed for articles published in English between January 1995 and September 2020, defining patient complexity. We extended the search to the references of the included articles. We assessed the domains presented in the definitions, and classified the definitions as based on (1) medical aspects (e.g., number of conditions) or (2) medical and/or non-medical aspects (e.g., socio-economic status). We assessed whether the definition was based on a tool (e.g., index) or conceptual model. Results: Among 83 articles, there was marked heterogeneity in the patient complexity definitions. Domains contributing to complexity included health, demographics, behavior, socio-economic factors, healthcare system, medical decision-making, and environment. Patient complexity was defined according to medical aspects in 30 (36.1%) articles, and to medical and/or non-medical aspects in 53 (63.9%) articles. A tool was used in 36 (43.4%) articles, and a conceptual model in seven (8.4%) articles. Conclusion: A consensus concerning the definition of patient complexity was lacking. Most definitions incorporated non-medical factors in the definition, underlining the importance of accounting not only for medical but also for non-medical aspects, as well as for their interrelationship.

HOSPITAL Score and LACE Index to Predict Mortality in Multimorbid Older Patients.

BACKGROUND: Estimating life expectancy of older adults informs whether to pursue future investigation and therapy. Several models to predict mortality have been developed but often require data not immediately available during routine clinical care. The HOSPITAL score and the LACE index were previously validated to predict 30-day readmissions but may also help to assess mortality risk. We assessed their performance to predict 1-year and 30-day mortality in hospitalized older multimorbid patients with polypharmacy. METHODS: We calculated the HOSPITAL score and LACE index in patients from the OPERAM (OPtimising thERapy to prevent Avoidable hospital admissions in the Multimorbid elderly) trial (patients aged ≥ 70 years with multimorbidity and polypharmacy, admitted to hospital across four European countries in 2016-2018). Our primary and secondary outcomes were 1-year and 30-day mortality. We assessed the overall accuracy (scaled Brier score, the lower the better), calibration (predicted/observed proportions), and discrimination (C-statistic) of the models. RESULTS: Within 1 year, 375/1879 (20.0%) patients had died, including 94 deaths within 30 days. The overall accuracy was good and similar for both models (scaled Brier score 0.01-0.08). The C-statistics were identical for both models (0.69 for 1-year mortality, p = 0.81; 0.66 for 30-day mortality, p = 0.94). Calibration showed well-matching predicted/observed proportions. CONCLUSION: The HOSPITAL score and LACE index showed similar performance to predict 1-year and 30-day mortality in older multimorbid patients with polypharmacy. Their overall accuracy was good, their discrimination low to moderate, and the calibration good. These simple tools may help predict older multimorbid patients' mortality after hospitalization, which may inform post-hospitalization intensity of care.

[Should dyslipidemia be treated in the elderly and very old people?] / Faut-il traiter les dyslipidémies chez les personnes âgées et très âgées ?

The beneficial effect of statins on the risk of recurrence of cardiovascular disease (secondary prevention) is well demonstrated. In primary prevention (no symptomatic cardiovascular disease), the benefit of statins after the age of 70 years is less clear and elderly patients with comorbidities have often been excluded from large, randomized trials. Some ongoing clinical trials will provide more information on the potential benefits and risks of starting or stopping statins in older adults. In clinical practice, the decision to treat with statins needs to take into account age, comorbidities, life expectancy, functional and cognitive status and patient preferences (shared decision), but statin discontinuation is only recommended in the context of a clinical trial, as reviewed in this article.

L'effet bénéfique des statines sur le risque de récidive de maladie cardiovasculaire (prévention secondaire) est bien démontré. En prévention primaire (pas de maladie cardiovasculaire symptomatique), le bénéfice des statines après 70 ans est moins clair et les patients âgés avec des comorbidités ont souvent été exclus des grandes études randomisées. Des essais cliniques sont en cours et apporteront plus d'informations sur les potentiels effets bénéfiques et risques de débuter ou d'arrêter les statines chez les personnes âgées. Dans la pratique, en sus de l'âge, la décision de traiter par statine nécessite de prendre en compte les comorbidités, l'espérance de vie, l'état fonctionnel et cognitif et les souhaits du patient (décision partagée), mais un arrêt n'est recommandé que dans le cadre d'un essai clinique, comme revu dans cet article.