The Impact of Frailty and Severe Cognitive Impairment on Survival Time and Time to Initiate Dialysis in Older Adults With Advanced Chronic Kidney Disease: A Prospective Observational Cohort Study.

Background and objectives Frailty and cognitive impairment significantly impact survival time and time to initiate dialysis in older adults with advanced chronic kidney disease (CKD). This study aims to evaluate the effects of frailty and cognitive impairment on these outcomes and determine the most effective assessment tool for predicting early dialysis initiation and short survival time. Materials and methods This prospective observational cohort study involved 240 patients aged ≥65 years with stage 4 or 5 CKD, recruited from a nephrology outpatient department (ambulatory care) between March 2020 and March 2021. Frailty was assessed using the Physical Frailty Phenotype (PFP), PRISMA-7, Clinical Frailty Scale (CFS), and FRAIL scale. Cognitive function was evaluated using the Montreal Cognitive Assessment (MoCA). The primary outcomes were time to initiate dialysis and survival time, with secondary outcomes including hospitalization rates, length of stay, and mortality after dialysis initiation. Results Frail patients only showed significantly shorter time to dialysis initiation when identified by the PFP and FRAIL scale (28.3 months for frail vs. 31.2 months for non-frail, p = 0.028; 26.9 months for frail vs. 30.9 months for non-frail, p = 0.038). The PFP, FRAIL, and CFS tools indicated significantly shorter survival times for frail patients compared to non-frail patients (26.8 months for frail vs. 30.6 months for non-frail, p = 0.003). Frailty is strongly correlated with severe cognitive impairment, as 45.5% of frail patients (according to the FRAIL scale) have dementia compared to 15.1% of non-frail patients (p<0.001). However, cognitive impairment did not significantly affect the time to dialysis initiation or survival time. Hospitalization rates and length of stay in the hospital were significantly higher only for frail patients identified by PRISMA-7, with a median hospital length of stay of 9.15 days for frail patients vs 6.37 days for non-frail patients (p = 0.044). Overall, 37.5% of the patients did not survive during the study follow-up, with frail patients having a higher mortality rate. Conclusion Frailty, mainly when assessed by PFP and FRAIL, is a significant predictor of early dialysis initiation and reduced survival time in older adults with advanced CKD. Cognitive impairment, while prevalent, did not independently predict these outcomes. Regular frailty screening should be incorporated into CKD management to tailor interventions and improve patient outcomes.

Revisiting risk prediction tools for death and end-stage renal disease in older patients with advanced chronic kidney disease: a prospective study.

BACKGROUND: Risk assessment tools for predicting mortality and end-stage renal disease (ESRD) in the elderly with CKD have received growing attention. However, integrating risk equations into a multidimensional approach of elderly with CKD stage 3b-4 is lacking. METHODS: In this prospective observational study, we enrolled CKD stage 3b-4 patients aged ≥ 65 years. Bansal score for predicting mortality risk and Kidney Failure Risk Equation (KFRE) for estimating progression to ESRD were applied. Predicted outcome was compared with actual clinical end-points. All patients underwent comprehensive geriatric assessment (CGA), which is an interdisciplinary multidimensional process for geriatric evaluation and management. RESULTS: Participants (N = 184) were divided into two groups, according to Bansal score: Group 1 (low-risk of death, Bansal score < 7, N = 69) and Group 2 (high-risk of death, Bansal score ≥ 7, N = 115). Group 2 displayed a substantially higher cardiovascular disease burden than Group 1 and was significantly more likely to be depressed and at risk of malnutrition, according to CGA. Thirty-seven patients died, and 16 started dialysis. Group 2 displayed significantly higher all-cause mortality. In the univariable Cox regression, Group 2 had a fourfold increase in the risk of all-cause mortality, as compared with Group 1 (HR = 4.29, 95% CI 1.88-10.26, P < 0.001). Multivariable stepwise Cox analysis showed that Bansal score above 7 remained significantly associated with all-cause mortality (HR = 3.96, 95% CI 1.68-9.29, P < 0.001). Group 2 also displayed higher event rates for dialysis initiation. In Group 1, only four patients started dialysis, and three out of them had a high-risk of progression at baseline, according to KFRE. CONCLUSIONS: Using risk stratification tools and CGA in a population of elderly with advanced CKD, we found that two-thirds of the patients were at high risk of death, malnutrition and depression, with multimorbidity and four times worse probability of survival than those at lower risk of death.

Different aspects of frailty and COVID-19: points to consider in the current pandemic and future ones.

BACKGROUND: Older adults at a higher risk of adverse outcomes and mortality if they get infected with Severe acute respiratory syndrome coronavirus 2 (SARS- CoV-2). These undesired outcomes are because ageing is associated with other conditions like multimorbidity, frailty and disability. This paper describes the impact of frailty on coronavirus disease 2019 (COVID-19) management and outcomes. We also try to point out the role of inflamm-ageing, immunosenescence and reduced microbiota diversity in developing a severe form of COVID-19 and a different response to COVID-19 vaccination among older frail adults. Additionally, we attempt to highlight the impact of frailty on intensive care unit (ICU) outcomes, and hence, the rationale behind using frailty as an exclusion criterion for critical care admission. Similarly, the importance of using a time-saving, validated, sensitive, and user-friendly tool for frailty screening in an acute setting as COVID-19 triage. We performed a narrative review. Publications from 1990 to March 2021 were identified by searching the electronic databases MEDLINE, CINAHL and SCOPUS. Based on this search, we have found that in older frail adults, many mechanisms contribute to the severity of COVID-19, particularly cytokine storm; those mechanisms include lower immunological capacity and status of ongoing chronic inflammation and reduced gut microbiota diversity. Higher degrees of frailty were associated with poor outcomes and higher mortality rates during and after ICU admission. Also, the response to COVID-19 vaccination among frail older adults might differ from the general population regarding effectiveness and side effects. Researches also had shown that there are many tools for identifying frailty in an acute setting that could be used in COVID-19 triage, and before ICU admission, the clinical frailty scale (CFS) was the most recommended tool. CONCLUSION: Older frail adults have a pre-existing immunopathological base that puts them at a higher risk of undesired outcomes and mortality due to COVID-19 and poor response to COVID-19 vaccination. Also, their admission in ICU should depend on their degree of frailty rather than their chronological age, which is better to be screened using the CFS.

Health-related quality of life in patients with chronic kidney disease.

Introduction: In the last three decades, health systems have continued to pay increasing attention to the quality of life (QOL) due to definitional changes in the concept of health and disease. The health-related quality of life (HRQOL) in patients with chronic kidney disease (CKD) is significantly affected, regardless of the stage of CKD. Areas covered: We attempt to thoroughly explore how CKD affects HRQOL domains with a quick primer on HRQOL assessment instruments in patients with CKD. Also, we pointed out the factors affecting HRQOL in patients with CKD as well as the clinical application of HRQOL in CKD management. Expert opinion: The general population enjoys higher HRQOL than patients with CKD in all domains. Similarly, pre-dialysis and kidney-transplant patients have better HRQOL than dialysis population. There are many factors which negatively impact HRQOL in CKD which include for example depression, anxiety, and cognitive impairment for the social domain, inactivity, and frailty for the physical domain as well as lack of social support and extroversion in the social domain. Additionally, social disparities and CKD-related factors would influence HRQOL. Of note, there is no global standard HRQOL assessment tool. Finally, HRQOL should be included in future CKD management guidelines.