Frailty detection among primary care older patients through the Primary Care Frailty Index (PC-FI)

Prognostic accuracy of eight frailty instruments for all-cause mortality in Australian primary care

AIM

To investigate the ability of eight frailty instruments to accurately predict all-cause mortality and other adverse outcomes in Australian primary care patients.

METHODS

Study participants included adults aged ≥75 years attending one of three primary care clinics in South Australia. Frailty instruments studied were Fried's frailty phenotype (FFP), the Frailty Index (FI) of cumulative deficits, Kihon Checklist (KCL), the Fatigue Resistance Ambulation Illness and Loss of weight (FRAIL) scale, Groningen Frailty Indicator (GFI), PRISMA-7, Reported Edmonton Frail Scale (REFS), and gait speed. Primary outcomes were all-cause mortality at 12- and 24-months. Secondary outcomes included falls, general practice attendance, hospital admission and emergency department (ED) presentation at 12-months.

RESULTS

243 participants (55.6 % female) with a mean (SD) age of 80.2 (4.6) years were included. 29 participants (16.6 %) were classified as frail at baseline by FFP. All frailty instruments demonstrated a significant ability to predict 12- and 24-month mortality. The REFS showed the highest auROC for both 12- and 24-month mortality. The REFS, Frailty Index, Kihon Checklist, FRAIL scale, and gait speed showed excellent discriminative ability for 12-month mortality (auROC ≥ 0.8 - >0.9), while the remainder showed acceptable discrimination. All frailty instruments, with the exception of the GFI, showed an excellent discriminative ability for 24-month mortality (auROC 0.8-<0.9).

CONCLUSIONS

All frailty instruments possessed adequate discriminative ability for all-cause mortality predicting in older primary care patients. Frailty measurement is thus a valuable strategy to identify older patients at risk of mortality and can guide clinical decision-making in primary care settings.

Enhancing routine immunization efforts for older adults and frail individuals: Good practices during the SARS-CoV-2 pandemic in Italy

Infectious diseases pose a significant burden on the general population, particularly older adults who are more susceptible to severe complications. Immunization plays a crucial role in preventing infections and securing a healthier aging, but actual vaccination rates among older adults and frail individuals (OAFs) remains far from recommended targets. This study aims to collect and share good practices implemented in several Italian local health districts during the SARS-CoV-2 pandemic to ease routine immunization for OAFs. A 28-items questionnaire has been developed to collect information on organization aspect of immunization services and local good practices implemented before and during the SARS-CoV-2 pandemic. Twelve Public Health managers representative of 9 Italian Regions were further interviewed between January and March 2021. Despite literature suggests several effective interventions to increase vaccine demand, improve vaccine access, and enhance healthcare providers' performance, our survey highlighted substantial heterogeneity in their implementation at local level. Seven good local practices have been identified and described: mass vaccination centers; vaccination mobile units; drive-through vaccination; co-administration; tailored pathways; cooperation among providers involved in vaccination; digitization. Our survey pointed out valuable strategies for enhancing routine immunization for OAFs. Providers should combine effective interventions adequate to their specific context and share good practices.

Frailty, comorbidity, and multimorbidity and their relation with medications adherence in primary care older adults

PURPOSE

To assess and compare, through a retrospective cohort study, the relationships between frailty, comorbidity, multimorbidity, and levels of adherence to lipid-lowering drugs (LLDs), antihypertensives and antidepressants.

METHODS

In a primary care database, we selected a cohort of patients aged 60 or older on December 31, 2022. The date of the first prescription of the aforementioned medications was the study index date. Patients with Variable Medication Possession Ratio (VMPR) > = 80% were classified as properly adherent. Frailty (i.e. Primary Care-Frailty Index), comorbidity (i.e. Charlson Index) and multimorbidity (i.e. disease counts) alternatively entered multivariate logistic regressions along with age and sex. Models' performances in prediction of medications adherence were compared in terms of information (AIC; BIC) and discrimination values (AUC).

RESULTS

Incident users of LLDs, antihypertensives or antidepressants were 4310 (mean age: 67.9 (SD: 6.9); 56.0% females), 5969 (mean age: 69.1 (SD: 7.6); 58.0% females), and 3834 (mean age: 68.7 (SD: 6.9); 66.5% females), respectively. Among users of LLDs (46% adherent) and antidepressants (22% adherent), those who were moderately or severely frail showed a significant 30-32% decrease in adherence. In contrast, users of antihypertensives (46% adherent) showed a 41% increase in adherence when multimorbid. As a whole, the three multivariate models were equally effective in informing on medication adherence, as per AIC and BIC. They also displayed similar discriminatory ability, with AUC scores ranging from 53 to 58%. Regarding the workload of GPs, the number of elderly patients classified as moderately/high frail was less than those with co-morbidities or multimorbidities. For instance, there were approximately 35 users of antihypertensive medications per GP for the moderately frail group, compared to 46 and 66 for the co-morbid and multi-morbid groups, respectively.

CONCLUSIONS

These findings showed similar capacity for frailty, comorbidity, and multimorbidity in capturing medications adherence. Given the existence of a validated tool in primary care that aligns well with GPs' workload, frailty seems the most suitable measure for assessing the complexity of older adults in relation to their adherence to long-term medications.

FRELSA: A dataset for frailty in elderly people originated from ELSA and evaluated through machine learning models

BACKGROUND

Frailty is an age-related syndrome characterized by loss of strength and exhaustion and associated with multi-morbidity. Early detection and prediction of the appearance of frailty could help older people age better and prevent them from needing invasive and expensive treatments. Machine learning techniques show promising results in creating a medical support tool for such a task.

METHODS

This study aims to create a dataset for machine learning-based frailty studies, using Fried's Frailty Phenotype definition. Starting from a longitudinal study on aging in the UK population, we defined a frailty label for each subject. We evaluated the definition by training seven different models for detecting frailty with data that were contemporary to the ones used for the definition. We then integrated more data from two years before to obtain prediction models with a 24-month horizon. Features selection was performed using the MultiSURF algorithm, which ranks all features in order of relevance to the detection or prediction task.

RESULTS

We present a new frailty dataset of 5303 subjects and more than 6500 available features. It is publicly available, provided one has access to the original English Longitudinal Study of Ageing dataset. The dataset is balanced after grouping frailty with pre-frailty, and it is suitable for multiclass or binary classification and prediction problems. The seven tested architectures performed similarly, forming a solid baseline that can be improved with future work. Linear regression achieved the best F-score and AUROC in detection and prediction tasks.

CONCLUSIONS

Creating new frailty-annotated datasets of this size is necessary to develop and improve the frailty prediction techniques. We have shown that our dataset can be used to study and test machine learning models to detect and predict frailty. Future work should improve models' architecture and performance, consider explainability, and possibly enrich the dataset with older waves.

Usefulness of the SARC-F questionnaire and the measurement of the hand grip strength in predicting short-term mortality in older patients hospitalized for acute heart failure

PURPOSE

Sarcopenia is a potentially reversible syndrome that increases the risk of cardiogenic cachexia and adverse outcomes in older patients with heart failure (HF). Despite its clinical significance, sarcopenia remains underdiagnosed due to the complexities of comprehensive assessment in patients with acute HF. This study aimed to evaluate whether the SARC-F questionnaire, its inviduals components, and the handgrip strength test (HGS) can predict short-term prognostic risk in very old patients recently discharged after acute HF.

METHODS

We consecutively enrolled patients aged 75 years or older hospitalized with acute HF in the Geriatrics Unit of a tertiary care hospital. All patients underwent physical examination, complete blood tests, point-of-care ultrasound, and a comprehensive geriatric assessment, including physical performance through SARC-F and HGS. The thirty-day post-discharge mortality rate was assessed by phone interview.

RESULTS

Out of 184 patients hospitalized with acute HF who were enrolled in the study (mean [SD], 86.8 [5.9] years, 60.3% female), 47 died within 30 days after discharge. By multivariate logistic analysis, HGS (β = - 0.73 ± 0.03, p = 0.008) and SARC-F [adjusted OR = 1.18 (CI 95% 1.03-1.33), p = 0.003] resulted independently associated with mortality. Furthermore, two SARC-F sub-items, namely, limitation in rising from a chair and history of falls [aOR: 3.26 (CI95% 1.27-8.34), p = 0.008; aOR: 3.30 (CI 95% 1.28-8.49), p = 0.01; respectively] emerged as determinants of 30-days mortality.

CONCLUSION

SARC-F and HGS test independently predict 30-day post-discharge mortality in oldest-old patients hospitalized for acute HF.

Validation of the Health Assessment Tool (HAT) based on four aging cohorts from the Swedish National study on Aging and Care

BACKGROUND

As global aging accelerates, routinely assessing the functional status and morbidity burden of older patients becomes paramount. The aim of this study is to assess the validity of the comprehensive clinical and functional Health Assessment Tool (HAT) based on four cohorts of older adults (60 + years) from the Swedish National study on Aging and Care (SNAC) spanning urban, suburban, and rural areas.

METHODS

The HAT integrates five health indicators (gait speed, global cognition, number of chronic diseases, and basic and instrumental activities of daily living), providing an individual-level score between 0 and 10. The tool was constructed using nominal response models, first separately for each cohort and then in a harmonized dataset. Outcomes included all-cause mortality over a maximum follow-up of 16 years and unplanned hospital admissions over a maximum of 3 years of follow-up. The predictive capacity was assessed through the area under the curve (AUC) using logistic regressions. For time to death, Cox regressions were performed, and Harrell's C-indices were reported. Results from the four cohorts were pooled using individual participant data meta-analysis and compared with those from the harmonized dataset.

RESULTS

The HAT demonstrated high predictive capacity across all cohorts as well as in the harmonized dataset. In the harmonized dataset, the AUC was 0.84 (95% CI 0.81-0.87) for 1-year mortality, 0.81 (95% CI 0.80-0.83) for 3-year mortality, 0.80 (95% CI 0.79-0.82) for 5-year mortality, 0.69 (95% CI 0.67-0.70) for 1-year unplanned admissions, and 0.69 (95% CI 0.68-0.70) for 3-year unplanned admissions. The Harrell's C for time-to-death throughout 16 years of follow-up was 0.75 (95% CI 0.74-0.75).

CONCLUSIONS

The HAT is a highly predictive, clinically intuitive, and externally valid instrument with potential for better addressing older adults' health needs and optimizing risk stratification at the population level.

How to support general practitioners to better detect sarcopenia among older adults: a nested case-control analysis

PURPOSE

This study explores correlations of sarcopenia and its proxies, such as history of falls, asthenia, and ambulation issues, with frailty levels among older adults in primary care.

METHODS

In a cohort of 546,590 patients aged 60 years or older, "definite" sarcopenia cases were operationally defined through the use of non-specific diagnostic codes coupled with inspection of free-texts. Proxies of sarcopenia, such as falls history, asthenia, and ambulation issues were considered as well. Frailty was calculated using an Index intended to primary care.

RESULTS

Overall, 171 definite sarcopenia cases were found, rising to 51,520 cases when including proxies (9.4% prevalence). There was a significant association between severe frailty and increased odds of sarcopenia, consistently observed across different event definitions.

CONCLUSIONS

Sarcopenia was strongly associated with severe frailty in primary care. The history of falls, asthenia, and ambulation issues were reliable proxies to raise the suspect of sarcopenia. Improved strategies for sarcopenia detection, focusing on specific indicators within severely frail individuals, are warranted.

A Vulnerability Index to Assess the Risk of SARS-CoV-2-Related Hospitalization/Death: Urgent Need for an Update after Diffusion of Anti-COVID Vaccines

Background: There are algorithms to predict the risk of SARS-CoV-2-related complications. Given the spread of anti-COVID vaccination, which sensibly modified the burden of risk of the infection, these tools need to be re-calibrated. Therefore, we updated our vulnerability index, namely, the Health Search (HS)-CoVulnerabiltyIndex (VI)d (HS-CoVId), to predict the risk of SARS-CoV-2-related hospitalization/death in the primary care setting. Methods: We formed a cohort of individuals aged ≥15 years and diagnosed with COVID-19 between 1 January and 31 December 2021 in the HSD. The date of COVID-19 diagnosis was the study index date. These patients were eligible if they had received an anti-COVID vaccine at least 15 days before the index date. Patients were followed up from the index date until one of the following events, whichever came first: COVID-19-related hospitalization/death (event date), end of registration with their GPs, and end of the study period (31 December 2022). To calculate the incidence rate of COVID-19-related hospitalization/death, a patient-specific score was derived through linear combination of the coefficients stemming from a multivariate Cox regression model. Its prediction performance was evaluated by obtaining explained variation, discrimination, and calibration measures. Results: We identified 2192 patients who had received an anti-COVID vaccine from 1 January to 31 December 2021. With this cohort, we re-calibrated the HS-CoVId by calculating optimism-corrected pseudo-R2, AUC, and calibration slope. The final model reported a good predictive performance by explaining 58% (95% CI: 48-71%) of variation in the occurrence of hospitalizations/deaths, the AUC was 83 (95% CI: 77-93%), and the calibration slope did not reject the equivalence hypothesis (p-value = 0.904). Conclusions: Two versions of HS-CoVId need to be differentially adopted to assess the risk of COVID-19-related complications among vaccinated and unvaccinated subjects. Therefore, this functionality should be operationalized in related patient- and population-based informatic tools intended for general practitioners.

Predicting 60-Day Mortality in a Home-Care Service: Development of a New Inter-RAI 49-Frailty Index in Patients with Chronic Disease and without a Cancer Diagnosis

OBJECTIVE

Frailty Index (FI) is used to define the level of frailty in various clinical settings. Fifteen- and 26-item FIs have been demonstrated to predict 1-year mortality and intensity of care in home care (HC) and palliative home care (PHC). The objective of this study was to develop a new FI to predict the 60-day risk of death or transition to a PHC service after the initiation of an HC service in patients with chronic disease and without a cancer diagnosis.

DESIGN

Retrospective cohort study.

SETTING AND PARTICIPANTS

Patients 18 years and older followed in an HC service of a "Frailty Department-Local Palliative Care Network" from January 1, 2017, to October 31, 2021.

METHODS

A 49-item FI (FI-49) was developed selecting variables within the standardized international Residential Assessment Instrument assessments (interRAI-HC) and compared to existing FIs with 15 and 26 variables.

RESULTS

A total of 2099 patients were included in the study with a median age of 80.0 years (IQR: 72.0-86.0) and a predominantly female population (62.4%). Among these patients, 8% died or were transferred to PHC within the 60-day follow-up. The FI-49 demonstrated a higher ability to predict 60-day mortality (C index 0.8165, 95% CI 0.7848-0.8481) compared to the 26- and 15-item FI. An FI-49 cutoff of 0.33 was also selected to provide clinicians with a more practical approach (C-index of 0.7044, 95% CI 0.6796-0.7292).

CONCLUSION AND IMPLICATION

The FI-49 is a good predictor of short-term mortality or transition to palliative care among older patients referred to an HC service. The automatic calculation of this tool could facilitate more appropriate care planning and the correct allocation of healthcare resources, especially considering the rapid ageing of the population.

Frailty and post-operative delirium influence on functional status in patients with hip fracture: the GIOG 2.0 study

BACKGROUND

This study analyzes the effect of frailty and Post-Operative Delirium (POD) on the functional status at hospital discharge and at 4-month follow-up in patients with hip fracture (HF).

METHODS

Multicenter prospective observational study of older patients with HF admitted to 12 Italian Orthogeriatric centers (July 2019-August 2022). POD was assessed using the 4AT. A 26-item Frailty Index (FI) was created using data collected on admission. The outcome measures were Cumulated Ambulation Score (CAS) ≤ 2 at discharge and a telephone-administered CAS ≤ 2 after 4 months. Poisson regression models were used to assess the effect of frailty and POD on outcomes.

RESULTS

984 patients (median age 84 years, IQR = 79-89) were recruited: 480 (48.7%) were frail at admission, 311 (31.6%) developed POD, and 158 (15.6%) had both frailty and POD. In a robust Poisson regression, frailty alone (Relative Risk, RR = 1.56, 95% Confidence Intervals, CI 1.19-2.04, p = 0.001) and its combination with POD (RR = 2.57, 95% CI 2.02-3.26, p < 0.001) were associated with poor functional status at discharge. At 4-month follow-up, the combination of frailty with POD (RR 3.65, 95% CI 1.85-7.2, p < 0.001) increased the risk of poor outcome more than frailty alone (RR 2.38, 95% CI 1.21-4.66, p < 0.001).

CONCLUSIONS

POD development exacerbates the negative effect that frailty exerts on functional outcomes in HF patients.

Assessing frailty at the centers for dementia and cognitive decline in Italy: potential implications for improving care of older people living with dementia

INTRODUCTION

Frailty is strongly associated with the clinical course of cognitive impairment and dementia, thus arguing for the need of its assessment in individuals affected by cognitive deficits. This study aimed to retrospectively evaluate frailty in patients aged 65 years and older referred to two Centers for Cognitive Decline and Dementia (CCDDs).

METHODS

A total of 1256 patients consecutively referred for a first visit to two CCDDs in Lombardy (Italy) between January 2021 to July 2022 were included. All patients were evaluated by an expert physician in diagnosis and care of dementia according to a standardized clinical protocol. Frailty was assessed using a 24-items Frailty Index (FI) based on routinely collected health records, excluding cognitive decline or dementia, and categorized as mild, moderate, and severe.

RESULTS

Overall, 40% of patients were affected by mild frailty and 25% of the sample has moderate to severe frailty. The prevalence and severity of frailty increased with decreasing Mini Mental State Examination (MMSE) score and advancing age. Frailty was also detected in 60% of patients with mild cognitive impairment.

CONCLUSION

Frailty is common in patients referring to CCDDs for cognitive deficits. Its systematic assessment using a FI generated with readily available medical information could help develop appropriate models of assistance and guide personalization of care.

Translation and validation of the Chinese version of the Japan Frailty Scale

Purpose

Frailty is a difficult-to-measure condition that is susceptible to adverse outcomes. The Japan Frailty Scale (JFS) is a tool for assessing frailty status in older adults. This study aimed to translate and culturally adapt the JFS into a Chinese version (JFS-C).

Materials and methods

The study included 160 older adults as participants. Internal consistency was assessed using Cronbach's alpha, and test-retest reliability was conducted using the intraclass correlation coefficient (ICC). Convergent validity was evaluated by assessing the correlation between JFS-C and the Barthel Index, the Frail scale, and the 36-item Short-Form Health Survey (SF-36). Criterion validity was assessed by comparing JFS-C scores with the Frail scale.

Results

JFS-C demonstrated adequate internal consistency (Cronbach's alphas = 0.711) and excellent test-retest reliability over a 7 to 10-day interval (ICC = 0.949). Correlation analysis showed a strong positive correlation between JFS-C and the Frail scale (r = 0.786, p < 0.001), a moderate negative correlation with the Barthel Index (r = -0.598, p < 0.001), and moderate correlations with various subscales of SF-36 (r = -0.574 to -0.661). However, no significant correlations were found between JFS-C and SF-36 mental health (r = -0.363, p < 0.001) or role emotional (r = -0.350, p < 0.001). Based on the reference standard of the Frail scale phenotype (score ≥ 2), the cutoff value for JFS-C was determined to be 3.

Conclusion

JFS-C demonstrates good reliability and validity in assessing frailty among the older population in China.