Medication Assessment in an Older Population during Acute Care Hospitalization and Its Effect on the Anticholinergic Burden: A Prospective Cohort Study.

(1) Background: Anticholinergic and sedative drugs (ASDs) contribute to negative health outcomes, especially in the frail population. In this study, we aimed to assess whether frailty increases with anticholinergic burden and to evaluate the effects of medication reviews (MRs) on ASD regimens among patients attending an acute care for the elderly (ACE) unit. (2) Methods: A cohort study was conducted between June 2019 and October 2020 with 150 consecutive patients admitted to our ACE unit. Demographic, clinical, and pharmacological data were assessed. Frailty score was determined using the Frail-VIG index (FI-VIG), and ASD burden was quantified using the drug burden index (DBI). In addition, the MR was performed using the patient-centered prescription (PCP) model. We used a paired T-test to compare the DBI pre- and post-MR and univariate and multivariate regression to identify the factors associated with frailty. (3) Results: Overall, 85.6% (n = 128) of participants showed some degree of frailty (FI-VIG > 0.20) and 84% (n = 126) of patients received treatment with ASDs upon admission (pre-MR). As the degree of frailty increased, so did the DBI (p < 0.001). After the implementation of the MR through the application of the PCP model, a reduction in the DBI was noted (1.06 ± 0.8 versus 0.95 ± 0.7) (p < 0.001). After adjusting for covariates, the association between frailty and the DBI was apparent (OR: 11.42, 95% (CI: 2.77-47.15)). (4) Conclusions: A higher DBI was positively associated with frailty. The DBI decreased significantly in frail patients after a personalized MR. Thus, MRs focusing on ASDs are crucial for frail older patients.

Frail-VIG index: a concise frailty evaluation tool for rapid geriatric assessment.

BACKGROUND: Demographic changes have led to an increase in the number of elderly frail persons and, consequently, systematic geriatric assessment is more important than ever. Frailty Indexes (FI) may be particularly useful to discriminate between various degrees of frailty but are not routinely assessed due, at least in part, to the large number of deficits assessed (from 30 to 70). Therefore, we have developed a new, more concise FI for rapid geriatric assessment (RGA)-the Frail-VIG index ("VIG" is the Spanish/Catalan abbreviation for Comprehensive Geriatric Assessment), which contains 22 simple questions that assess 25 different deficits. Here we describe this FI and report its ability to predict mortality at 24 months. METHODS: Prospective, observational, longitudinal study of geriatric patients followed for 24 months or until death. The study participants were patients (n = 590) admitted to the Acute Geriatric Unit at the at the University Hospital of Vic (Barcelona) during the year 2014. Participants were classified into one of seven groups based on their Frail-VIG score (0-0.15; 0.16-0.25; 0.26-0.35; 0.36-0.45; 0.46-0.55; 0.56-0.65; and 0.66-1). Survival curves for these groups were compared using the log-rank test. ROC curves were used to assess the index's capacity to predict mortality at 24 months. RESULTS: Mean (standard deviation) patient age was 86.4 (5.6) years. The 24-month mortality rate was 57.3% for the whole sample. Significant between-group (deceased vs. living) differences (p < 0.05) were observed for most index variables. Survival curves for the seven Frail-VIG groups differed significantly (X2 = 433.4, p < 0.001), with an area under the ROC curve (confidence interval) of 0.90 (0.88-0.92) at 12 months and 0.85 (0.82-0.88) at 24 months. Administration time for the Frail-VIG index ranged from 5 to 10 min. CONCLUSIONS: The Frail-VIG index, which requires less time to administer than previously validated FIs, presents a good discriminative capacity for the degree of frailty and a high predictive capacity for mortality in the present cohort. Although more research is needed to confirm the validity of this instrument in other populations and settings, the Frail-VIG may provide clinicians with a RGA method and also a reliable tool to assess frailty in routine practice.

Potentially inappropriate medication at hospital admission in patients with palliative care needs.

Background Potentially inappropriate medications (PIMs) are common in older patients with polypharmacy, and are related to negative clinical results. Little information is available on the characteristics and consequences of PIMs in patients with advanced chronic conditions and palliative care needs. Objective To evaluate, for this population: (i) the prevalence of PIMs; (ii) the possible risk factors associated with its onset; and (iii) the related clinical consequences. Setting Acute-hospital care Geriatric Unit (AGU) in County of Osona, Spain. Method Ten-month prospective cross-sectional study. Patients with palliative care needs were identified according to the NECPAL CCOMS-ICO® test. Upon hospital admission, a multidisciplinary team consisting of a pharmacist and two AGU physicians determined the PIMs of the routine chronic medication of the patients. Sociodemographic and pharmacological data were collected with the objective of determining possible risk factors related to the existence of PIMs. Main outcome measure Prevalence and type of PIMs according to STOPP version 2 and MAI criteria at the time of hospital admission. Furthermore, days of hospital admission, destination at hospital discharge and survival analysis at 12 months related to PIMs were evaluated. Results Two hundred thirty-five patients (mean age 86.80, SD 5.37; 65.50% women) were recruited. According to the STOPP criteria, 88.50% of patients had ≥1 criterion (mainly 'indication of medication', followed by those that affect the nervous system and psychotropic drugs and risk drugs in people suffering from falls), and according to the MAI tool, 97.40% of the patients had some criterion related to inappropriate medication (mainly, duration of therapy). The following conditions were identified as risk factors for the existence of PIMs: insomnia, anxiety-depressive disorder, falls, pain, excessive polypharmacy and therapeutic complexity. There were no differences among patients in days of hospital stay, discharge's destination or survival at 12 months, regardless of the tool used. Conclusion The presence of PIMs is high in patients requiring palliative care. Some potentially modifiable risk factors such as the pharmacological ones are associated with a greater presence of inappropriate medication. The presence of PIMs does not affect this population in terms of mortality.

[Frail-VIG index: Design and evaluation of a new frailty index based on the Comprehensive Geriatric Assessment]. / Índice frágil-VIG: diseño y evaluación de un índice de fragilidad basado en la Valoración Integral Geriátrica.

INTRODUCTION: Frailty is closely linked to health results. Frailty indexes (FI) and the Comprehensive Geriatric Assessment (CGA) are multidimensional tools. FI serve to quantitatively measure frailty levels. They have shown to have an excellent correlation with mortality. However, they are infrequently used in clinical practice. Given the need for new, more concise, and pragmatic FI, a new FI is proposed based on a CGA (Frail-VIG Index). MATERIAL AND METHODS: A prospective, observational, longitudinal study was conducted, with cohort follow up at 12 months or death. Participants were patients admitted in the Geriatric Unit of the University Hospital of Vic (Barcelona, Spain) during 2014. Contrast of hypothesis log-rank for survival curves according to Frail-VIG index, and analysis of ROC curves were performed to assess prognostic capacity. RESULTS: A total of 590 patients were included (mean age=86.39). Mortality rate at 12 months was 46.4%. The comparative analysis showed statistically significant differences (P<.05) for almost all variables included in the Frail-VIG index. Survival curves also show significant differences (X2=445, P<.001) for the different Frail-VIG index scores. The area under the ROC curve at 12 months was 0.9 (0.88-0.92). An administration time of the Index is estimated at less than 10minutes. CONCLUSIONS: Results endorse the Frail-VIG index as a simple (as for contents), rapid (for administration time) tool, with discriminative (for situational diagnosis) and predictive capacity (high correlation with mortality).