Scoping Review of Studies Evaluating Frailty and Its Association with Medication Harm

The adverse inpatient medication event and frailty (AIME-frail) risk prediction model

BACKGROUND

Medication harm affects between 5 and 15% of hospitalised patients, with approximately half of the harm events considered preventable through timely intervention. The Adverse Inpatient Medication Event (AIME) risk prediction model was previously developed to guide a systematic approach to patient prioritisation for targeted clinician review, but frailty was not tested as a candidate predictor variable.

AIM

To evaluate the predictive performance of an updated AIME model, incorporating a measure of frailty, when applied to a new multisite cohort of hospitalised adult inpatients.

METHODS

A retrospective cohort study was conducted at two tertiary Australian hospitals on patients discharged between 1st January and April 31, 2020. Data were extracted from electronic medical records (EMRs) and clinical coding databases. Medication harm was identified using ICD-10 Y-codes and confirmed by senior pharmacist review of medical records. The Hospital Frailty Risk Score (HFRS) was calculated for each patient. Logistic regression analysis was used to construct a modified AIME model. Candidate variables of the original AIME model, together with new variables including HFRS were tested. Performance of the final model was reported using area under the curve (AUC) and decision curve analysis (DCA).

RESULTS

A total of 4089 patient admissions were included, with a mean age ± standard deviation (SD) of 64 years (±19 years), 2050 patients (50%) were males, and mean HFRS was 6.2 (±5.9). 184 patients (4.5%) experienced one or more medication harm events during hospitalisation. The new AIME-Frail risk model incorporated 5 of the original variables: length of stay (LOS), anti-psychotics, antiarrhythmics, immunosuppressants, and INR greater than 3, as well as 5 new variables: HFRS, anticoagulants, antibiotics, insulin, and opioid use. The AUC was 0.79 (95% CI: 0.76-0.83) which was superior to the original model (AUC = 0.70, 95% CI: 0.65-0.74) with a sensitivity of 69%, specificity of 81%, positive predictive value of 0.14 (95% CI: 0.10-0.17) and negative predictive value of 0.98 (95% CI: 0.97-0.99). The DCA identified the model as having potential clinical utility between the probability thresholds of 0.05-0.4.

CONCLUSION

The inclusion of a frailty measure improved the predictive performance of the AIME model. Screening inpatients using the AIME-Frail tool could identify more patients at high-risk of medication harm who warrant timely clinician review.

Challenges and responsibilities in the medication management process in 24/7 group housing services for adults with intellectual disability: Interviews with nurses

Staff in 24/7 group housing services for adults with intellectual disability are responsible for ensuring safe medication management processes and supporting the residents in their health-related issues. Ten interviewed nurses reported several challenges in the medication management process emerging at the staff level, the level of the group home, and the level of the social and healthcare system, and were often related to issues in communication and responsibility. They reported a variety of complex tasks in the medication management process, for which they need a multiple skill set. They also act as healthcare advocates for residents, but healthcare services do not always match residents' needs. Training for social and healthcare professionals, access to healthcare services and the collaboration of social and healthcare services should be improved to provide the people with intellectual disability the best possible pharmacotherapy and healthcare.

Relation between frailty and adverse outcomes in elderly patients with gastric cancer: a scoping review

Background

Playing an exemplary role, frailty have crucial effect on the preoperative evaluation of elderly patients. Previous studies have shown that frailty is associated with complications and mortality in patients with gastric cancer (GC). However, with the development of the concept of "patient-centered", the range of health-related outcomes is broad. The differences in relation between frailty and various adverse outcomes will be further explored.

Method

The PubMed, Embase, Web of Science, Cochrane Library, China National Knowledge Infrastructure, Wan Fang, and Chinese Biomedical Literature databases were searched for keywords, including frailty (such as frail) and gastric cancer (such as stomach neoplasms or stomach cancer or gastrectomy or gastric surgery). The search period is until August 2023. The included studies were observational or cohort studies with postoperative related adverse outcomes as primary or secondary outcome measures. Valid assessment tools were used. The Quality Assessment Tool for Observational Cohort and Cross-sectional Studies was used to assess methodological quality in the included literature.

Result

Fifteen studies were included, including 4 cross-sectional studies, 8 retrospective cohort studies, and 3 prospective cohort studies. Among them, 6 studies were rated as "Good" and 9 studies were rated as "Fair," indicating that the quality of the literature was high. Then, 10 frailty assessment tools were summarized and classified into two broad categories in accordance with frailty models. Results of the included studies indicated that frailty in elderly patients with GC was associated with postoperative complications, mortality, hospital days, readmissions, quality of life, non-home discharge, and admission to the intensive care unit.

Conclusion

This scoping review concludes that high levels of preoperative frailty increase the risk of adverse outcomes in elderly patients with GC. Frailty will be widely used in the future clinical evaluation of elderly gastric cancer patients, precise risk stratification should be implemented for patients, and frailty management should be implemented well to reduce the occurrence of adverse treatment outcomes.

Summary of best evidence for prevention and management of frailty

BACKGROUND

Frailty in older people can seriously affect their quality of life and increase the demand for long-term care and health care expenses. Aims of this study are to provide an evidence-based basis for clinical practice of frailty in older people by systematically searching for the best current evidence on interventions for the prevention and management of frailty.

METHODS

According to the '6S' evidence resource model, evidence retrieval is searched from the top-down and collected relevant guidelines, best practices, evidence summaries, systematic reviews and expert consensus. The retrieval time limit was from the database establishment to 20 March 2023. Two reviewers independently screened and evaluated the literature, and then extracted and summarised the evidence according to the JBI grading of evidence and recommendation system.

RESULTS

A total of 44 publications were finally included, including 12 guidelines, 5 best practices, 4 expert consensus, 5 evidence summaries and 18 systematic reviews. Through the induction and integration of the evidence, the evidence was finally summarised from eight aspects: frailty screening, frailty assessment, exercise intervention, nutrition intervention, multi-domain intervention, drug administration, social support and health education, and 43 best evidences were formed.

CONCLUSIONS

This study summarised the best evidence for the prevention and management of frailty from eight aspects, which can provide guidance for clinical or community medical staff to develop and apply frailty intervention and practice programmes for older people and improved the clinical outcome and quality of life of older people.

Recent developments in frailty identification, management, risk factors and prevention: A narrative review of leading journals in geriatrics and gerontology

Frailty is an age-related clinical condition characterised by an increased susceptibility to stressors and an elevated risk of adverse outcomes such as mortality. In the light of global population ageing, the prevalence of frailty is expected to soar in coming decades. This narrative review provides critical insights into recent developments and emerging practices in frailty research regarding identification, management, risk factors, and prevention. We searched journals in the top two quartiles of geriatrics and gerontology (from Clarivate Journal Citation Reports) for articles published between 01 January 2018 and 20 December 2022. Several recent developments were identified, including new biomarkers and biomarker panels for frailty screening and diagnosis, using artificial intelligence to identify frailty, and investigating the altered response to medications by older adults with frailty. Other areas with novel developments included exercise (including technology-based exercise), multidimensional interventions, person-centred and integrated care, assistive technologies, analysis of frailty transitions, risk-factors, clinical guidelines, COVID-19, and potential future treatments. This review identified a strong need for the implementation and evaluation of cost-effective, community-based interventions to manage and prevent frailty. Our findings highlight the need to better identify and support older adults with frailty and involve those with frailty in shared decision-making regarding their care.

The association between frailty and the risk of medication-related problems among community-dwelling older adults in Europe

BACKGROUND

Studies revealed unidirectional associations between frailty and medication-related problems (MRPs) among older adults. Less is known about the association between frailty and the risk of MRPs. We aimed to assess the bi-directional association between frailty and the risk of MRPs in community-dwelling older adults in five European countries.

METHODS

Participants were 1785 older adults in the population-based Urban Health Centres Europe project. Repeated assessments were collected at baseline and one-year follow-up, including frailty, the risk of MRPs, and covariates. Linear regression analyses were conducted to examine the unidirectional associations. A cross-lagged panel modeling was used to assess bi-directional associations.

RESULTS

The unidirectional association between frailty at baseline and the risk of MRPs at follow-up remained statistically significant after adjusting for covariates (β = 0.10, 95%CI:0.08, 0.13). The association between the risk of MRPs at baseline and frailty at follow-up shows similar trends. The bi-directional association was comparable with reported unidirectional associations, with a stronger effect from frailty at baseline to the risk of MRPs at follow-up than reversed path (Wald test for comparing lagged effects: p < 0.05).

CONCLUSION

This longitudinal study suggests that a cycle may exist where older adults with higher frailty levels are more likely to have a higher risk of MRPs, which in turn contributes to developing a higher level of frailty. Further research is needed to validate our findings and explore underlying pathways.

Frailty modifies the effect of polypharmacy and multimorbidity on the risk of death among nursing home residents: Results from the SHELTER study

Background

Frailty, disability, and polypharmacy are prevalent in nursing home (NH) residents, often co-occurring with multimorbidity. There may be a complex interplay among them in terms of outcomes such as mortality. Aims of the study were to (i) assess whether nursing home residents with polypharmacy (5-9 medications) or hyperpolypharmacy (≥10 drugs), have an increased risk of death and (ii) whether any association is modified by the co-presence of frailty or disability.

Methods

Cohort study with longitudinal mortality data including 4,023 residents from 50 European and 7 Israeli NH facilities (mean age = 83.6 years, 73.2% female) in The Services and Health for Elderly in Long Term care (SHELTER) cohort study. Participants were evaluated with the interRAI-LongTerm Care assessment tool. Frailty was evaluated with the FRAIL-NH scale. Hazard ratio (HR) of death over 12 months was assessed with stratified Cox proportional hazards models adjusted for demographics, facilities, and cognitive status.

Results

1,042 (25.9%) participants were not on polypharmacy, 49.8% (n = 2,002) were on polypharmacy, and 24.3% (n = 979) on hyperpolypharmacy. Frailty and disability mostly increased risk of death in the study population (frailty: HR = 1.85, 95%CI 1.49-2.28; disability: HR = 2.10, 95%CI 1.86-2.47). Among non-frail participants, multimorbidity (HR = 1.34, 95%CI = 1.01-1.82) and hyperpolypharmacy (HR = 1.61, 95%CI = 1.09-2.40) were associated with higher risk of death. Among frail participants, no other factors were associated with mortality. Polypharmacy and multimorbidity were not associated with mortality after stratification for disability.

Conclusions

Frailty and disability are the strongest predictors of death in NH residents. Multimorbidity and hyperpolypharmacy increase mortality only in people without frailty. These findings may be relevant to identify patients who could benefit from tailored deprescription.