Chronic kidney disease (CKD) and chronic kidney insufficiency (CKI) diagnosing equation in cirrhotic patients.

Cirrhotic patients can develop acute kidney injury (AKI), and chronic kidney disease (CKD). Therefore, renal functional evaluation is crucial in cirrhotic patients. However, serum creatinine and urea levels, as well as measured or estimated glomerular filtration rate is not reliable renal functional markers in these patients compared to other patient groups. In the present study, four original equations are designed and tested for screening chronic kidney disease (CKD) and chronic kidney insufficiency (CKI) in stable cirrhotic patients. MATERIAL & METHOD: estimated GFR (CKD-EPI creatinine and cystatin equations) were recorded in 175 adult stable patients suffering from cirrhosis, and these patients were classified as presenting or not CKD and CKI after evaluation by two independent nephrologists. Based on these data, the variables with the significant discriminating capability to identify CKD and CKI (based on creatinine and cystatin) were detected by applying the Student's t-test for two independent groups, later confirmed by the lambda test of Wilks, in order to obtain the renal function equations. RESULTS: CKD equation (creatinine) = 7.094238-0.043104 × CKD-EPI creatinine - 0.057537 × haematocrit. CKD equation (cystatin) = 8.375074-0.117218 × CKD-EPI cystatin. CKI equation (creatinine) = 0.428389-0.043214 × CKD-EPI creatinine +0.183051 × Child-Pugh score + 0.050162 × age (in years). CKI equation (cystatin) = 9.169579-0.139319 × CKD-EPI cystatin. CONCLUSION: Simple and reliable equations have been obtained for screening chronic kidney disease and chronic kidney insufficiency in cirrhotic patients.

Enhancing ACLF prediction by integrating sarcopenia assessment and frailty in liver transplant candidates on the waiting list.

Background & Aims: Malnutrition, sarcopenia, and frailty are prevalent in cirrhosis. We aimed to assess the correlation between assessment tools for malnutrition, sarcopenia, and frailty in patients on the liver transplant (LT) waiting list (WL), and to identify a predictive model for acute-on-chronic liver failure (ACLF) development. Methods: This prospective single-center study enrolled consecutive patients with cirrhosis on the WL for LT (May 2019-November 2021). Assessments included subjective global assessment, CT body composition, skeletal muscle index (SMI), ultrasound thigh muscle thickness, sarcopenia HIBA score, liver frailty index (LFI), hand grip strength, and 6-minute walk test at enrollment. Correlations were analyzed using Pearson's correlation. Competing risk regression analysis was used to assess the predictive ability of the liver- and functional physiological reserve-related variables for ACLF. Results: A total of 132 patients, predominantly with decompensated cirrhosis (87%), were included. Our study revealed a high prevalence of malnutrition (61%), sarcopenia (61%), visceral obesity (20%), sarcopenic visceral obesity (17%), and frailty (10%) among participants. Correlations between the assessment tools for sarcopenia and frailty were poor. Sarcopenia by SMI remained prevalent when frailty assessments were not usable. After a median follow-up of 10 months, 39% of the patients developed ACLF on WL, while 28% experienced dropouts without ACLF. Multivariate analysis identified MELD-Na, SMI, and LFI as independent predictors of ACLF on the WL. The predictive model MELD-Na-sarcopenia-LFI had a C-statistic of 0.85. Conclusions: The poor correlation between sarcopenia assessment tools and frailty underscores the importance of a comprehensive evaluation. The SMI, LFI, and MELD-Na independently predicted ACLF development in WL. These findings enhance our understanding of the relationship between sarcopenia, frailty, and ACLF in patients awaiting LT, emphasizing the need for early detection and intervention to improve WL outcomes. Impact and implications: The relationship between sarcopenia and frailty assessment tools, as well as their ability to predict acute-on-chronic liver failure (ACLF) in patients on the liver transplant (LT) waiting list (WL), remains poorly understood. Existing objective frailty screening tests have limitations when applied to critically ill patients. The correlation between sarcopenia and frailty assessment tools was weak, suggesting that they may capture different phenotypes. Sarcopenia assessed by skeletal muscle index, frailty evaluated using the liver frailty index, and the model for end-stage liver disease-Na score independently predicted the development of ACLF in patients on the WL. Our findings support the integration of liver frailty index and skeletal muscle index assessments at the time of inclusion on the WL for LT. This combined approach allows for the identification of a specific patient subgroup with an increased susceptibility to ACLF, underscoring the importance of early implementation of targeted treatment strategies to improve outcomes for patients awaiting LT.