Frailty, the state of increased vulnerability to physical stressors as a result of progressive and sustained degeneration in multiple physiological systems, is common in those with chronic kidney disease (CKD). In fact, the prevalence of frailty in the older adult population is reported to be 11%, whereas the prevalence of frailty has been reported to be greater than 60% in dialysis-dependent CKD patients. Frailty is independently linked with adverse clinical outcomes in all stages of CKD and has been repeatedly shown to be associated with an increased risk of mortality and hospitalization. In recent years there have been efforts to create an operationalized definition of frailty to aid its diagnosis and to categorize its severity. Two principal concepts are described, namely the Fried Phenotype Model of Physical Frailty and the Cumulative Deficit Model of Frailty. There is no agreement on which frailty assessment approach is superior, therefore, for the time being, emphasis should be placed on any efforts to identify frailty. Recognizing frailty should prompt a holistic assessment of the patient to address risk factors that may exacerbate its progression and to ensure that the patient has appropriate psychological and social support. Adequate nutritional intake is essential and individualized exercise programmes should be offered. The acknowledgement of frailty should prompt discussions that explore the future care wishes of these vulnerable patients. With further study, nephrologists may be able to use frailty assessments to inform discussions with patients about the initiation of renal replacement therapy.
Background/Aims: Frail patients with chronic kidney disease (CKD) have an increased hospitalisation and mortality rate. However, many popular frailty screening methods have not been validated in patients with CKD. This study evaluates the diagnostic accuracy of several frailty screening methods in patients with CKD G4–5 and those established on haemodialysis (G5D). Methods: Ninety participants with CKD G4–5D were recruited from Nephrology Outpatient Clinics and 2 Haemodialysis Units between December 2016 and December 2017. Frailty was diagnosed using the Fried Frailty Phenotype. The following frailty screening tests were evaluated: Clinical Frailty Scale, PRISMA-7, CKD Frailty Index, CKD FI-LAB, walking speed, hand grip strength and Short Physical Performance Battery. Results: The mean age of participants was 69 years (SD ±13). One-third of participants were dialysis-dependent. Nineteen (21%) patients were categorised as frail, 42 (47%) as pre-frail and 29 (32%) as robust. Overall, walking speed was the most discriminative measure (AUC 0.97 [95% CI 0.93–1.00], sensitivity 0.84 [95% CI 0.62–0.94], specificity 0.96 [95% CI 0.88–0.99]). The Clinical Frailty Scale had the best performance of the non-physical assessment frailty screening methods (AUC 0.90 [95% CI 0.84–0.97], sensitivity 0.79 [95% CI 0.57–0.91], specificity 0.87 [95% CI 0.78–0.93]). Conclusions: Walking speed can be used to accurately screen for frailty in CKD populations. If it is not practical to perform a physical assessment to screen for frailty, the Clinical Frailty Scale is a useful alternative.
Tac rapidly and effectively induced remission of NS in FSGS. Conversion from CsA to Tac indicates that Tac might be a more potent agent with less nephrotoxicity in this setting.
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