Serum cystatin C as a predictor of 90-day mortality among patients admitted with complications of cirrhosis.

BACKGROUND AND AIM: Cystatin C (Cys) is not affected by age, sex, and muscle mass. We evaluated to compare the predictive performance of serum Cys level and model for end-stage liver disease (MELD) score and developed a new model to predict 90-day mortality among patients admitted with cirrhosis complications. METHODS: A prospective cohort study was performed from December 2018 to December 2019. All cirrhotic patients admitted with acute decompensated liver cirrhosis or acute on chronic liver failure had laboratory values measured within 48 h of admission. RESULTS: A cohort of 225 patients with cirrhosis was admitted during the study period. Sixty-five patients were eligible for analysis. Twenty-seven of these patients (41.4%) died within 90 days of follow-up. The median of MELD score was 20.5 (15, 24). Serum Cys level of >1.45 mg/L had the highest 90-day mortality prediction with the sensitivity and specificity of 66.7% and 68.4%, respectively. Cys and MELD scores were predictive of 90-day mortality: Cys hazard ratio (HR) = 2.04 (95% CI 1.01-4.14, P = 0.048); MELD score HR = 1.01 (95% CI 0.51-2.01, P = 0.970). C-statistic of Cys, MELD score, model for end-stage liver disease-cystatin C (MELD-Cys) score, combined Cys with MELD-Cys score to predict 90-day mortality were 0.67, 0.58, 0.58, and 0.63, respectively. Adding Cys to the MELD score did not improve the predictive of 90-day mortality. CONCLUSION: Serum Cys is superior to MELD score, and the new MELD-Cys model is comparable to the MELD score in predicting mortality among patients with cirrhosis admitted with complications.

Effect of enhanced external counterpulsation treatment on renal function in cardiac patients.

BACKGROUND: Enhanced external counterpulsation (EECP) enhances coronary perfusion and reduces left ventricular afterload. However, the role of EECP on renal function in cardiac patients is unknown. Our aim was to assess renal function determined by serum cystatin C in cardiac patients before and after EECP treatment. METHODS: A prospective observational longitudinal study was conducted in order to evaluate renal function using serum cystatin C (Cys C) and estimated glomerular filtration rate (GFR) after 35 sessions of EECP treatment in 30 patients with chronic stable angina and/or heart failure. The median (IQR) time for follow-up period after starting EECP treatment was 16 (10-24) months. RESULTS: Cys C significantly declined from 1.00 (0.78-1.31) to 0.94 (0.77-1.27) mg/L (p < 0.001) and estimated GFR increased from 70.47 (43.88-89.41) to 76.27 (49.02-91.46) mL/min/1.73 m(2) (p = 0.006) after EECP treatment. Subgroup analysis showed that patients with baseline GFR <60 mL/min/1.73 m(2) or NT-proBNP >125 pg/mL had a significant decrease in Cys C when compared to other groups (p < 0.01). CONCLUSIONS: The study demonstrated that EECP could improve long-term renal function in cardiac patients especially in cases with declined renal function or with high NT-proBNP. TRIAL REGISTRATION: The study was registered in the clinical trial as International Standard Randomized Controlled Trial Number ISRCTN11560035.

Obesity and its relation to chronic kidney disease: a population-based, cross-sectional study of a Thai army population and relatives.

AIM: Obesity represents a significant problem in patients with cardiovascular disease and chronic kidney disease (CKD). The aim of the present study was to investigate the association between body mass index (BMI) and CKD in Thai individuals. METHODS: Participants underwent general health screening. Overweight, weight at risk, obese I and obese II were defined as having a BMI ≥23 kg/m(2), 23-24.9 kg/m(2) , 25-29.9 kg/m(2) and ≥30 kg/m(2), respectively. Waist circumference ≥ 90 cm for men and > 80 cm for women were represented by abdominal obesity. CKD was defined as a glomerular filtration rate (GFR) < 60 mL/min per 1.73 m(2). An estimate of the GFR was obtained by the four-variable Modification of Diet in Renal Disease (MDRD) equation. RESULTS: The study population had 12 348 males and 3009 females. The survey population had a 7.5% prevalence of CKD. There was also a significant graded relationship between the degrees of overweight with the prevalence of CKD. Mean BMI were 25.36 ± 3.29 kg/m(2) for CKD subjects and 24.04 ± 3.13 kg/m(2) for non-CKD subjects (P < 0.001). Prevalence of overweight and abdominal obesity in the participants with CKD were found to be higher than in those without CKD (overweight, 77.6% vs. 61.6%, P < 0.001; abdominal obesity, 35.7% vs. 25.3%, P < 0.001). In a multivariate logistic regression analysis, weight at risk (adjusted odds ratio 1.29; 95% CI 1.07-1.54), obese I (adjusted odds ratio 1.58; 95% CI 1.33-1.87) and obese II (adjusted odds ratio 1.65; 95% CI 1.24-2.19) were associated with CKD. CONCLUSION: Our data showed that overweight and obesity were associated with CKD in Thai members of the army population and their relatives undergoing a general health screening, independently of age, gender, blood pressure, serum lipid, uric acid and glucose levels.

A simplified clinical prediction score of chronic kidney disease: a cross-sectional-survey study.

BACKGROUND: Knowing the risk factors of CKD should be able to identify at risk populations. We thus aimed to develop and validate a simplified clinical prediction score capable of indicating those at risk. METHODS: A community-based cross-sectional survey study was conducted. Ten provinces and 20 districts were stratified-cluster randomly selected across four regions in Thailand and Bangkok. The outcome of interest was chronic kidney disease stage I to V versus non-CKD. Logistic regression was applied to assess the risk factors. Scoring was created using odds ratios of significant variables. The ROC curve analysis was used to calibrate the cut-off of the scores. Bootstrap was applied to internally validate the performance of this prediction score. RESULTS: Three-thousand, four-hundred and fifty-nine subjects were included to derive the prediction scores. Four (i.e., age, diabetes, hypertension, and history of kidney stones) were significantly associated with the CKD. Total scores ranged from 4 to 16 and the score discrimination was 77.0%. The scores of 4-5, 6-8, 9-11, and ≥ 12 correspond to low, intermediate-low, intermediate-high, and high probabilities of CKD with the likelihood ratio positive (LR+) of 1, 2.5 (95% CI: 2.2-2.7), 4.9 (95% CI: 3.9 - 6.3), and 7.5 (95% CI: 5.6 - 10.1), respectively. Internal validity was performed using 200 repetitions of a bootstrap technique. Calibration was assessed and the difference between observed and predicted values was 0.045. The concordance C statistic of the derivative and validated models were similar, i.e., 0.770 and 0.741. CONCLUSIONS: A simplified clinical prediction score for estimating risk of having CKD was created. The prediction score may be useful in identifying and classifying at riskpatients. However, further external validation is needed to confirm this.