Acute Kidney Injury after Multiple Cycles of Cisplatin Chemotherapy: A Nomogram for Risk Assessment.

INTRODUCTION: Acute kidney injury (AKI) caused by cisplatin is common and has a higher incidence of multiple use, resulting in a poor short- and long-term prognosis for patients. There is currently no good premedication AKI risk assessment tool. The aim of this study was to establish an AKI risk assessment nomogram for patients with multiple cisplatin applications. METHODS: This study was a retrospective analysis of patients who were treated with non-first-time cisplatin chemotherapy regimen at Changzhou Second People's Hospital affiliated to Nanjing Medical University from January 2016 to January 2022. All data from the development group were used to screen the impact factors of AKI via univariate and multivariate analyses. A nomogram was developed based on these impact factors and verified with verification group. The area under the curve (AUC) of receiver operating characteristic (ROC) curve, calibration curves, and decision curve analyses (DCAs) were used to evaluate the nomogram. RESULTS: Among the 256 patients enrolled in 450 cycles of chemotherapy, 282 were in the development cohort (97 AKI), and 168 were in the validation cohort (61 AKI). Multivariate logistic regression revealed that age, hypertension, diabetes, serum cystatin C (sCysC), urinary kidney injury molecule-1 (uKim1), and a single dose of cisplatin were independently associated with AKI. The results showed that our model yielded satisfied diagnostic performance with an AUC value of 0.887 and 0.906 using the development group and on verification group. The calibration plots and DCA showed the superior clinical applicability of the nomogram. These results were verified in the validation cohort. CONCLUSION: A nomogram combining functional (sCysC) and tubular (uKim1) injury biomarkers with conventional clinical factors might assess the risk of AKI after multiple cycles of cisplatin chemotherapy.

Pneumonia risk prediction in patients with acute alcohol withdrawal syndrome through evaluation of sarcopenia index as a prognostic factor.

OBJECTIVE: This study aimed to explore the relationship between the sarcopenia index (SI) and the risk of pneumonia in hospitalized patients with acute alcohol withdrawal syndrome (AWS). STUDY DESIGN: We have performed a retrospective study of individuals with AWS from a teaching hospital in western China. Patients' data were retrieved from the medicinal record databases. Patients' primary (upon admission) blood serum creatinine (Cr) and cystatin C (CysC) levels were incorporated into the records. Participants were separated into low and high SI cohorts based on the three-quarter digit of SI (SI = serum Cr/serum CysC ratio × 100). The association between SI and the risk of pneumonia in hospitalized patients with AWS was assessed by logistic regression analysis. RESULT: Three hundred and twelve patients with acute AWS were included in this retrospective analysis. Among hospitalized patients with acute AWS, the incidence of pneumonia was 13.78%. The average median age of acute AWS patients with pneumonia was 55.28 (10.65) years, and the mean age of acute AWS individuals without pneumonia was 51.23 (10.08) years. In the univariate analysis, the high SI group (SI > 87.91) had a lower incidence of pneumonia than the low SI group (SI ≤ 87.91) (high SI vs. low SI, 6.41% vs. 16.24%, p = 0.029). Further logistic regression analysis showed that the high SI group demonstrated a poorer risk of pneumonia (OR = 0.353, 95%CI: 0.134-0.932, p = 0.036). After adjusting for possible confounders, the risk of pneumonia remained low in the high SI group (OR = 0.358, 95%CI: 0.132-0.968, p = 0.043). CONCLUSION: Our results showed that SI was linked with the risk of pneumonia in hospitalized individuals with acute AWS. We further suggest that it could be a pneumonia risk factor, especially in medical centers where sarcopenia diagnosis is unavailable.

Urinary N-Acetyl-Beta-D-Glucosaminidase levels predict immunoglobulin a nephropathy remission status.

BACKGROUND: Tubulointerstitial lesions play a pivotal role in the progression of IgA nephropathy (IgAN). Elevated N-acetyl-beta-D-glucosaminidase (NAG) in urine is released from damaged proximal tubular epithelial cells (PTEC) and may serve as a biomarker of renal progression in diseases with tubulointerstitial involvement. METHODS: We evaluated the predictive value of urinary NAG (uNAG) for disease progression in 213 biopsy-proven primary IgAN patients from January 2018 to December 2019 at Zhongshan Hospital, Fudan University. We compared the results with those of serum cystatin C (sCysC). RESULTS: Increased uNAG and sCysC levels were associated with worse clinical and histological manifestations. Only uNAG level was independently associated with remission status after adjustment. Patients with high uNAG levels (> 22.32 U/g Cr) had a 4.32-fold greater risk of disease progression. The combination of baseline uNAG and clinical data may achieve satisfactory risk prediction in IgAN patients with relatively preserved renal function (eGFR ≥ 60 ml/min/1.73 m2, area under the curve [AUC] 0.760). CONCLUSION: Our results suggest that uNAG is a promising biomarker for predicting IgAN remission status.

A marked elevation in serum creatinine/cystatin C ratio may indicate pseudo-acute kidney injury due to urinary ascites: a case report and literature review.

BACKGROUND: Urinary ascites represents a scarcely observed pseudo-acute kidney injury in clinical settings. Protracted or missed diagnosis may hold grave ramifications for patient outcomes. CASE PRESENTATION: We reported a case involving an elderly female patient experiencing pseudo-acute kidney injury accompanied by ascites, wherein her renal dysfunction persisted despite medical intervention and hemodialysis. Urinary ascites was identified via a methylene blue test and by contrasting creatinine levels in serum and ascites. This patient's kidney function was multiple typified by a marked elevation in serum creatinine/Cystatin C ratio (> 2 L/dL), potentially serving as a clue for the clinical diagnosis of pseudo-acute kidney injury engendered by urinary ascites. CONCLUSIONS: This case suggested the potential diagnostic value of an asynchronous increase in serum creatinine and serum CysC (or an increased ratio of blood creatinine to blood CysC) in patients with pseudo-acute kidney injury.

Performance of the 2021 Race-Free CKD-EPI Creatinine- and Cystatin C-Based Estimated GFR Equations Among Kidney Transplant Recipients.

RATIONALE & OBJECTIVE: Race-free estimated glomerular filtration rate (eGFR) equations incorporating creatinine with and without cystatin C were recently developed and recommended for routine use. However, the performance of these equations among kidney transplant recipients (KTRs) remains unknown. STUDY DESIGN: Cross-sectional study to validate the 2021 race-free Chronic Kidney Disease (CKD) Epidemiology Collaboration (CKD-EPI) eGFR equation based on creatinine alone (eGFRcr) or based on creatinine and cystatin C (eGFRcr-cys) among KTRs. SETTING & PARTICIPANTS: KTRs in stable condition (N = 415) from Canada and New Zealand with same-day measurements of creatinine, cystatin C, and glomerular filtration rate (GFR) using radiolabeled diethylenetriaminepentaacetic acid. TESTS COMPARED: The 2009 CKD-EPI eGFRcr, 2021 CKD-EPI eGFRcr, 2012 CKD-EPI eGFRcr-cys, 2021 CKD-EPI eGFRcr-cys, 2012 CKD-EPI eGFRcys, and Modification of Diet in Renal Disease (MDRD) Study eGFR equations were compared with measured GFR. OUTCOMES: Bias, precision, accuracy, and correct classification by CKD stage. Bias was defined as the difference between estimated and measured GFR. Precision was represented by the interquartile range. Accuracy was defined as the percentages of participants with eGFRs within 10%/20%/30% (P10/P20/P30) of measured GFR, root mean square error, and mean absolute error. RESULTS: 87% of patients studied were White, 3% Black, and 10% other races. Mean measured GFR was 53 ± 19 (SD) mL/min/1.73 m2. The 2009 and 2021 CKD-EPI eGFRcr equations demonstrated similar median bias (-2.3 vs -0.2 mL/min/1.73 m2, respectively), precision (14.5 vs 14.9 mL/min/1.73 m2), and accuracy (P10/P20/P30, 32%/65%/84% vs 33%/63%/84%). The 2012 and 2021 CKD-EPI eGFRcr-cys equations also demonstrated similar median bias (-3.6 vs 0.3 mL/min/1.73 m2, respectively), precision (13.3 vs 14.3 mL/min/1.73 m2), and accuracy (P10/P20/P30, 32%/63%/80% vs 32%/67%/83%). No clear difference in performance was detected between the 2021 CKD-EPI eGFRcr and eGFRcr-cys equations among KTRs. The proportion of correct classification by CKD stage was similar across all eGFR equations. LIMITATIONS: Moderate sample size, few patients had a GFR <30 mL/min/1.73 m2, and the large majority of patients were White. CONCLUSIONS: Among KTRs, the 2021 race-free CKD-EPI eGFR equations perform similarly to the previous CKD-EPI equations that included race correction terms. No significant difference in performance was observed between the 2021 CKD-EPI eGFRcr and eGFRcr-cys equations in the kidney transplant population.

Self-reported Race, Serum Creatinine, Cystatin C, and GFR in Children and Young Adults With Pediatric Kidney Diseases: A Report From the Chronic Kidney Disease in Children (CKiD) Study.

RATIONALE & OBJECTIVE: Recent reassessment of the use of race in estimated glomerular filtration rate (eGFR) in adults has instigated questions about the role of race in eGFR expressions for children. Little research has examined the associations of self-reported race with measured GFR (mGFR) adjusting for serum creatinine or cystatin C in children and young adults with chronic kidney disease (CKD). This study examined these associations and evaluated the performance of the previously published "U25" (under the age of 25 years) eGFR equations in a large cohort of children and young adults with CKD. STUDY DESIGN: Observational cohort study. SETTING & PARTICIPANTS: Participants in the Chronic Kidney Disease in Children (CKiD) study including 190 Black and 675 non-Black participants contributing 473 and 1,897 annual person-visits, respectively. EXPOSURE: Self- or parental-reported race (Black, non-Black). Adjustment for serum creatinine or cystatin C, body size, and socioeconomic status. OUTCOME: mGFR based on iohexol clearance. ANALYTICAL APPROACH: Linear regression with generalized estimating equations, stratified by age (<6, 6-12, 12-18, and ≥18 years) incorporating serum creatinine or serum cystatin C. Contrasting performance in different self-reported racial groups of the U25 eGFR equations. RESULTS: Self-reported Black race was significantly associated with 12.8% higher mGFR among children in regression models including serum creatinine. Self-reported Black race was significantly associated with 3.5% lower mGFR after adjustment for cystatin C overall but was not significant for those over 12 years. The results were similar after adjustment for body size and socioeconomic factors. The average of creatinine- and cystatin C-based U25 equations was unbiased by self-reported race groups. LIMITATIONS: Small number of children < 6 years; lean body mass was estimated. CONCLUSIONS: Differences in the creatinine-mGFR relationship by self-reported race were observed in children and young adults with CKD and were consistent with findings in adults. Smaller and opposite differences were observed for the cystatin C-mGFR relationship, especially in the younger age group. We recommend inclusion of children for future investigations of biomarkers to estimate GFR. Importantly, for GFR estimation among those under 25 years of age, the average of the new U25 creatinine and cystatin C equations without race coefficients yields unbiased estimates of mGFR.

Serum cystatin C is associated with the prognosis in acute myocardial infarction patients after coronary revascularization: a systematic review and meta-analysis.

OBJECTIVE: Our study aimed to assess the association between serum cystatin C levels and prognosis in acute myocardial infarction (AMI) patients after coronary reconstructive surgery. METHODS: We searched PubMed, Embase, and Cochrane Library up to January 21, 2022 without language restriction. Outcomes were major cardiovascular events (MACEs) and mortality. The risk ratio (RR) and 95% confidence interval (CI) were merged by random-effect models. RESULTS: We included 8 studies with a total of 7,394 subjects in our meta-analysis. Our meta-analysis showed that higher-level of serum cystatin C levels were associated with higher risk of MACEs (RR = 2.52, 95% CI 1.63-3.89, P < 0.001) and mortality (RR = 2.64, 95% CI 1.66-4.19, P < 0.001) in AMI patients after coronary revascularization. Subgroup analysis showed that the serum cystatin C levels were associated with significantly higher risk of MACEs (RR = 2.72, 95% CI 1.32-5.60, P = 0.006) and mortality (RR = 2.98, 95% CI 1.21-7.37, P = 0.020) in AMI patients after percutaneous coronary intervention (PCI). However, in AMI patients after coronary artery bypass surgery, there were no significantly higher risk of MACEs (RR = 2.41, 95% CI 0.98-5.93, P = 0.05) and mortality (RR = 3.15, 95% CI 0.76-13.03, P = 0.10). Further subgroup analysis showed that this significantly higher risk of MACEs and mortality did not change with the study sample size, study population area or study follow-up time. CONCLUSION: The meta-analysis demonstrated that higher serum cystatin C levels were associated with significantly higher risk of MACEs and mortality in AMI patients after PCI. It is a biomarker for risk stratification for predicting the prognosis in AMI patients after PCI.

Correlation between Serum Cystatin C Level and Retinal Blood Flow in Patients with Essential Hypertension.

INTRODUCTION: Hypertension is known to impact the structure and function of the ocular vascular system and is an established risk factor for many eye diseases. This study aimed to detect the blood flow in the optic disc and macula in patients with essential hypertension and to analyze its correlation with serum cystatin C (Cys-C) levels. METHODS: This single center, cross-sectional study included 100 patients with primary hypertension without hypertensive retinopathy, who were divided into an experimental group (50 cases, 50 eyes) with elevated serum Cys-C levels and a control group (50 cases, 50 eyes) with normal serum Cys-C. The optic disc and macular vessel density (VD) and vascular perfusion density (PD) were assessed using optical coherence tomography angiography. Data such as the area, perimeter, and circularity of the foveal avascular zone (FAZ) were analyzed. RESULTS: There were statistically significant between-group differences in the VD and PD of the optic disc (p < 0.05). Spearman correlation analysis of related indicators revealed that serum Cys-C was positively correlated with creatinine, uric acid, and FAZ circularity (p < 0.05). Furthermore, serum Cys-C was negatively correlated with optic disc VD and PD in some regions (p < 0.05). CONCLUSION: In patients with essential hypertension, serum Cys-C is negatively correlated with VD and PD in the inner layer of the optic disc (zone 10).

A nomogram incorporating functional and tubular damage biomarkers to predict the risk of acute kidney injury for septic patients.

BACKGROUND: Combining tubular damage and functional biomarkers may improve prediction precision of acute kidney injury (AKI). Serum cystatin C (sCysC) represents functional damage of kidney, while urinary N-acetyl-ß-D-glucosaminidase (uNAG) is considered as a tubular damage biomarker. So far, there is no nomogram containing this combination to predict AKI in septic cohort. We aimed to compare the performance of AKI prediction models with or without incorporating these two biomarkers and develop an effective nomogram for septic patients in intensive care unit (ICU). METHODS: This was a prospective study conducted in the mixed medical-surgical ICU of a tertiary care hospital. Adults with sepsis were enrolled. The patients were divided into development and validation cohorts in chronological order of ICU admission. A logistic regression model for AKI prediction was first constructed in the development cohort. The contribution of the biomarkers (sCysC, uNAG) to this model for AKI prediction was assessed with the area under the receiver operator characteristic curve (AUC), continuous net reclassification index (cNRI), and incremental discrimination improvement (IDI). Then nomogram was established based on the model with the best performance. This nomogram was validated in the validation cohort in terms of discrimination and calibration. The decision curve analysis (DCA) was performed to evaluate the nomogram's clinical utility. RESULTS: Of 358 enrolled patients, 232 were in the development cohort (69 AKI), while 126 in the validation cohort (52 AKI). The first clinical model included the APACHE II score, serum creatinine, and vasopressor used at ICU admission. Adding sCysC and uNAG to this model improved the AUC to 0.831. Furthermore, incorporating them significantly improved risk reclassification over the predictive model alone, with cNRI (0.575) and IDI (0.085). A nomogram was then established based on the new model including sCysC and uNAG. Application of this nomogram in the validation cohort yielded fair discrimination with an AUC of 0.784 and good calibration. The DCA revealed good clinical utility of this nomogram. CONCLUSIONS: A nomogram that incorporates functional marker (sCysC) and tubular damage marker (uNAG), together with routine clinical factors may be a useful prognostic tool for individualized prediction of AKI in septic patients.

Early serum cystatin C-enhanced risk prediction for acute kidney injury post cardiac surgery: a prospective, observational, cohort study.

Background: Acute kidney injury (AKI) is a common post-cardiac surgery complication. It leads to increased morbidity and mortality. The aim of our study is to identify the prevalence and risk factors of AKI and to demonstrate if early postoperative serum cystatin C (sCyC) could accurately predict the development of AKI.Methods: We prospectively studied 628 patients undergoing elective cardiac surgery. Pre-morbid and operative variables known to be or potentially associated with AKI or other adverse outcomes were examined. AKI was defined according to Kidney Disease Improving Global Outcomes (KDIGO) creatinine criteria. Blood samples for biomarker measurement were collected at baseline, within 10 h of surgical completion and daily for three days. Logistic regression was used to assess predictive factors for AKI including 10 h sCyC. Model discrimination was assessed using receiver operator characteristic (ROC) curves.Results: AKI occurred in 178 (28.3%) patients, Stage 1 in 17.5%, Stage 2 in 8.6% and Stage 3 in 2.2%. Mortality rose progressively with increased AKI stage (non-AKI 0.2%, Stage 1 1.8%, Stage 2 11.1% and Stage 3 35.7%). Age > 75 years, baseline estimated glomerular filtration rate (eGFR), proteinuria, diabetes mellitus, hypertension, hyperuricaemia, NYHA classification >2, recent myocardial infarction were associated with AKI in univariate analysis. A multivariate logistic model with clinical factors (age, eGFR, hypertension, NYHA classification >2, combined surgery and operation time) demonstrated moderate discrimination for AKI (area under ROC curve [AUC] 0.75). The 10 h postoperative sCyC levels strongly associated with AKI. After multivariable adjustment, the highest quartile of sCyC was associated with 13.1 - higher odds of AKI, compared with the lowest quartile. Elevated 10 h sCyC levels associated with longer hospital stay, longer intensive care unit stay and duration of mechanical ventilation. The addition of 10 h sCyC improved model discrimination for AKI (AUC 0.81).Conclusions: AKI following cardiac surgery was identified using KDIGO criteria in around one fourth of the patients. These patients had significantly increased morbidity and mortality. When added to prediction model, 10 h sCyC may enhance the identification of patients at higher risk of AKI, providing a readily available prognostic marker.

Urinary Cyclophilin A and serum Cystatin C as biomarkers for diabetic nephropathy in children with type 1 diabetes.

BACKGROUND: Currently, microalbuminuria is the gold standard for detection and prediction of diabetic nephropathy (DN). However, microalbuminuria appears once significant kidney damage has actually occurred. OBJECTIVES: We investigated the diagnostic role of urinary Cyclophilin-A (uCypA), uCypA/creatinine ratio (uCypA/Cr) and serum Cystatin-C (sCysC) as biomarkers for early detection of DN in children with type 1 diabetes mellitus (T1DM) of short duration (2-5 years) before microalbuminuria emerges. METHODS: uCypA, uCypA/Cr, and sCysC levels were assessed in three age- and sex-matched groups; microalbuminuric diabetic group (n = 31), normoalbuminuric diabetic group (n = 29), and control group (n = 30). Glomerular filtration rate was estimated (eGFR) based on both serum creatinine (eGFR-Cr) and sCysC (eGFR-CysC). RESULTS: Significantly higher sCysC and lower eGFR-CysC were detected in both diabetic groups compared to controls and in microalbuminuric compared to normoalbuminuric group. No detected significant difference in eGFR-Cr values across the studied groups. Both uCypA and uCypA/Cr were significantly elevated in microalbuminuric compared to both normoalbuminuric and control groups with no difference between normoalbuminuric and control groups. Prediction of microalbuminuria was conducted using sCysC with area under curve up to 0.980. Combined use of sCysC and uCypA had better diagnostic value than uCypA alone. CONCLUSION: sCysC is a promising early biomarker for DN in childhood T1DM before albuminuria detection. eGFR-CysC is superior to eGFR-Cr in evaluating renal status in childhood T1DM. uCypA and uCypA/Cr were useful tools in predicting microalbuminuria, although not regarded as diagnostic biomarkers for early-stage DN in T1DM children by the current study.

Reference intervals for serum cystatin C in neonates and children 30 days to 18 years old.

BACKGROUND: Serum cystatin C (CysC) is a promising biomarker of kidney function, which has higher accuracy and sensitivity when compared with creatinine. To better utilize serum CysC in clinical practice, this study aimed to establish continuous paediatric reference intervals (RIs) for serum CysC. METHODS: The study subjects consisted of healthy term neonates and children aged 30 days to 18 years. Venous blood samples were collected and serum CysC levels were measured using the immunoturbidimetric measurement principle. Fractional polynomial regression model and quantile regression was applied in the statistical analysis to generate continuous RIs. RESULTS: A total of 378 samples with equal numbers of males and females were analysed for serum CysC. No outliers were found in this analysis. The continuous RIs are presented as equations and graphical scatterplots. CONCLUSIONS: This study established continuous paediatric reference intervals (RIs) for serum CysC in healthy term neonates and children. The continuous RIs generated from this study show age-based dynamic changes as well as blood group and gender-specific differences for serum CysC. Graphical abstract.

Influence of muscle mass on the estimation of glomerular filtration rate in Japanese terminal cancer patients.

BACKGROUND: Estimated glomerular filtration rate (eGFR) based on serum cystatin C (Scys) is useful for patients with decreased muscle mass, but has been also reported to be affected by cancer. The usefulness of Scys in eGFR in terminal cancer patients with decreased muscle mass is unknown. Therefore, we analyzed appropriate eGFR formulae for terminal cancer patients. METHODS: Study design was a retrospective observational study. Based on creatinine height index (CHI), 184 terminal cancer patients were stratified into CHI ≥ 90% (normal muscle mass, 59 patients); CHI 60-89% (mildly to moderately decreased muscle mass, 64 patients); and CHI < 60% (severely decreased muscle mass, 61 patients) groups. Twenty-four-hour creatinine clearance was measured and converted to the glomerular filtration rate (GFR) as a renal function measure. To estimate GFR, various eGFR formulae for Japanese were used: eGFRScys, eGFRScr5 and eGFRScr3, eGFRaverage and eGFRScys-Scr, and eGFRCG, based on Scys, serum creatinine (Scr), Scys and Scr combined, and Cockcroft-Gault formula (CG), respectively. Errors between measured and estimated values of renal function were verified using mean prediction errors (ME). When a 95% confidence interval (CI) of ME included 0, the accuracy of the eGFR formula was graded as good. RESULTS: eGFRScys ME was 0.2 (95% CI lower limit - 3.7, upper limit 4.0) mL/min/1.73 m2 in CHI 60-89% group and 9.2 (6.1, 12.9) mL/min/1.73 m2 in CHI < 60% group. eGFRScys was most accurate among the eGFR formulae. CONCLUSIONS: eGFR based on Scys was demonstrated as useful in terminal cancer patients with decreased muscle mass.

Development and comparison of population pharmacokinetic models of vancomycin in neurosurgical patients based on two different renal function markers.

WHAT IS KNOWN AND OBJECTIVES: Some previous studies have indicated that serum cystatin C (Cys C) is a better marker than serum creatinine (SCR) for assessing the glomerular filtering rate (GFR). However, in almost all population pharmacokinetic models of vancomycin, the GFR is usually estimated from SCR. Therefore, the aim of this study was to compare the GFR estimated from SCR (sGFR) with the GFR estimated from Cys C (cGFR) and investigate which one can describe the characteristics of vancomycin population pharmacokinetics better in Chinese neurosurgical adult patients. METHODS: Patients from the Neurosurgery Department aged ≥18 years were enrolled retrospectively. Among these patients, the data from 222 patients were used to establish two population pharmacokinetic models based on sGFR and cGFR, separately. The data from another 95 patients were used for the external validation of these two models. Non-linear mixed-effect modelling (NONMEM) 7.4.3 was used for the population pharmacokinetic analysis. RESULTS: We developed two one-compartment models with first-order absorption based on Cys C and SCR, separately. In the Cys C model, age, body weight and cGFR were significant covariates on the clearance rate (CL) of vancomycin (typical value, 6.4 L/hour). In the SCR model, age and sGFR were significant covariates on the CL (typical value, 6.46 L/hour). The external validation results showed that the predictive performance of the two models was similar. WHAT IS NEW AND CONCLUSION: In this study, the predictive performance of two models was similar in neurosurgical patients. We did not find a significant improvement in the predictive performance of the model when GFR was estimated from Cys C.

Cystatin C as a predictor of mortality in elderly patients with chronic kidney disease.

BACKGROUND: The prevalence of chronic kidney disease (CKD) in the elderly is high. Serum cystatin C is an accurate marker of kidney function and it also has prognostic utility in CKD patients. The aim of our study was to determine the prediction of serum cystatin C and other markers of kidney function on long-term survival in elderly CKD patients. METHODS: Fifty eight adult Caucasian patients, older than 65 years, without known malignancy, thyroid disease and/or not on steroid therapy were enrolled in the study. In each patient, 51CrEDTA clearance, serum creatinine, serum cystatin C, and estimated glomerular filtration rate using different equations were determined on the same day and patients were then followed for 11 years or until their death. RESULTS: The means are as follows: 51CrEDTA clearance 53.3 ± 17.4 ml/min/1.73 m2, serum creatinine 1.62 ± 0.5 mg/dl, serum cystatin C 1.79 ± 0.5 mg/l, Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine equation 40.1 ± 14 ml/min/1.73 m2, Berlin Initiative Study 2 (BIS2) equation 38.9 ± 10.7 ml/min/1.73 m2, full age spectrum (FAS) creatinine equation 43.8 ± 13.8 ml/min/1.73 m2, FAS cystatin C equation 40.1 ± 11.7 ml/min/1.73 m2. In the follow up period, 47 (81%) patients died. Cox regression analysis showed different hazard ratios (HRs) for death: for 51CrEDTA clearance HR 1.022 (95% CI 1.004-1.042; p = .015), serum creatinine HR 1.013 (95% CI 1.006-1.019; p = .001), serum cystatin C HR 2.028 (95% CI 1.267-3.241; p = .003), CKD-EPI creatinine equation HR 1.048 (95% CI 1.019-1.076; p = .001), BIS2 equation HR 1.055 (95% CI 1.021-1.088; p = .001), FAS creatinine equation HR 1.046 (95% CI 1.017-1.074; p = .001), FAS cystatin C equation HR 1.039 (95% CI 1.010-1.071; p = .009). CONCLUSIONS: Our results showed the highest HR for serum cystatin C among kidney function markers for prediction of outcome in elderly CKD patients.

Revised Equations to Estimate Glomerular Filtration Rate from Serum Creatinine and Cystatin C in China.

AIM: Our previous study demonstrated that the cystatin C-based chronic kidney disease (CKD)-EPI equation and combined by serum creatinine (CKD-EPIscr-cys) had better capability to accurately evaluate glomerular filtration rate in the CKD participants. Considering that the accuracy of estimated glomerular filtration rate (eGFR) remains less ideally, it is essential to modify the equation by including the Chinese eGFR racial factor in order to improve its performance. METHODS: Two prospective cohorts were enrolled in 2 medical centers. New equations were developed in 529 participants and validated in 313 participants. Reference glomerular filtration rate (rGFR) was taken by 99mTc-DTPA renal dynamic imaging method (Gates method). The primary outcomes of this study were bias, precision (interquartile range of difference [IQR]), and accuracy (the proportion of eGFR within 30% of rGFR [P30] and root mean square error [RMSE]) of eGFR versus rGFR. RESULTS: In a development data set, Chinese coefficients for CKD-EPIscr (C-CKD-EPIscr), CKD-EPIcys (C-CKD-EPIcys), and CKD-EPIscr-cys (C-CKD-EPIscr-cys) were 0.871, 0.879, and 0.891, respectively. In a validation data set, C-CKD-EPIcys was the most accurate with highest P30 value (62.3%), relative lowest IQR (15.45), and RMSE (0.80) among 6 equations, though the bias of C-CKD-EPIcys was not better than CKD-EPIcys. C-CKD-EPIscr and C-CKD-EPIscr-cys equations were improved in bias (p < 0.001), -precision, and accuracy (p = 0.004 and <0.001 for P30) compared with CKD-EPIscr and CKD-EPIscr-cys. CONCLUSION: C-CKD-EPIcys was the most accurate with the highest P30 value, relative lowest IQR, and RMSE among 6 equations. C-CKD-EPIscr and C-CKD-EPIscr-cys equations were improved in bias, precision, and accuracy. Other external validation of these equations is needed.

Coefficient of Determination between Estimated and Measured Renal Function in Japanese Patients with Sarcopenia May Be Improved by Adjusting for Muscle Mass and Sex: A Prospective Study.

Creatinine (Cr) levels are strongly affected by muscle mass, and the estimated glomerular filtration rate (eGFR), a measure based on serum creatinine (SCr), is often overestimated in patients with sarcopenia. To evaluate the coefficient of determination (R2) between eGFR and the actual measured value, we performed a linear regression analysis of a modified GFR (mGFR: measured Cr clearance × 0.715) and various renal function estimates adjusted for muscle mass in 19 patients with sarcopenia. The eGFR values based on SCr (eGFRcr) were higher than those based on mGFR, although a high R2 (0.704; p < 0.001) was found between these values. There was no deviation between eGFR based on serum cystatin C (eGFRcys) and mGFR, although the R2 value 0.691 was equivalent to that of eGFRcr. In the equation used to calculate eGFRcr not adjusted for body surface area (mL/min), muscle mass parameters obtained from bioelectrical impedance analysis were used instead of actual body weight to recalculate the eGFRcr. The R2 between this eGFRcr and mGFR did not improve, although there was less deviation. However, assuming that all patients were female by using female coefficients for all patients, the R2 between eGFRcr-fcc (eGFRcr with female coefficient correction) and mGFR improved and was the highest (0.808) on substitution of appendicular skeletal muscle mass. The correlation between eGFRcr-fcc and mGFR improved over eGFRcys when muscle mass was substituted for body weight in the equation used to estimate eGFR in patients with sarcopenia and sex differences were removed.

Incidence, Risk factors, and Biomarkers Predicting Ischemic or Hemorrhagic Stroke Associated Acute Kidney Injury and Outcome: A Retrospective Study in a General Intensive Care Unit.

OBJECTIVE: We investigated the epidemiology, risk factors, and predictive parameters for ischemic or hemorrhagic stroke-associated acute kidney injury (AKI) and mortality in a general intensive care unit (ICU) in China. METHODS: During 5 years, 479 stroke patients were screened, and 381 were enrolled. AKI was diagnosed within 7 days after ICU admission, based on the Kidney Disease Improving Global Outcomes criteria. Risk factors of AKI were assessed by Logistic regression analyses, and the predictive biomarkers for AKI were determined using receiver operating characteristic (ROC) curves. Also examined were factors influencing 28-day mortality, using Cox regression analyses and Kaplan-Meier curves. -Results: Among all, 115 (30.18%) patients developed AKI. Multivariate regression analyses revealed that the following features at ICU admission significantly increased the risk of developing AKI: an increased National Institutes of Health Stroke Scale score (OR 1.136, p < 0.001) and Acute Physiology and Chronic Health Evaluation II score (OR 1.107, p = 0.042); hypertension (OR 2.346, p = 0.008); use of loop diuretics (OR 1.961, p = 0.032); and higher serum cystatin C (sCysC; OR 8.156, p = 0.001). The area under the ROC curves for predicting AKI using sCysC was 0.772, slightly better than that of other biomarkers. The sCysC ≥0.93 mg/L (hazard ratio 1.844, p = 0.004) significantly predicted 28-day mortality. CONCLUSIONS: Among stroke patients in ICU, we identified significant risk factors of stroke-associated AKI. Serum CysC level at ICU admission was an important biomarker for predicting AKI and 28-day mortality.

Creatinine- and cystatin C-based estimated glomerular filtration rate slopes for the prediction of kidney outcome: a comparative retrospective study.

BACKGROUND: Many studies have evaluated the usefulness of creatinine- (eGFRcr) and cystatin C-based estimated glomerular filtration rate (eGFRcys) at specific time points in predicting renal outcome. This study compared the performance of both eGFR changing slopes in identifying patients at high risk of end-stage renal disease (ESRD). METHODS: From 2012 to 2017, patients with more than three simultaneous measurements of serum creatinine and cystatin C for 1 year were identified. Rapid progression was defined as eGFR slope < - 5 mL/min/1.73 m2/year. The primary outcome was progression to ESRD. RESULTS: Overall, 1323 patients were included. The baseline eGFRcr and eGFRcys were 39 (27-48) and 38 (27-50) mL/min/1.73 m2, respectively. Over 2.9 years (range, 2.0-3.8 years) of follow-up, 134 subjects (10%) progressed to ESRD. Both the eGFRcr and eGFRcys slopes were associated with a higher risk of ESRD, independently of baseline eGFR (hazard ratio [HR] = 0.986 [0.982-0.991] and HR = 0.988 [0.983-0.993], respectively; all p <  0.001). The creatinine- and cystatin C-based rapid progressions were associated with increased risk of ESRD (HR = 2.22 [1.57-3.13], HR = 2.03 [1.44-2.86], respectively; all p <  0.001). In the subgroup analyses, the rapid progression group, defined on the basis of creatinine levels (n = 503), showed no association between the eGFRcys slope and ESRD risk (p = 0.31), whereas the eGFRcr slope contributed to further discriminating higher ESRD risk in the subjects with rapid progression based on eGFRcys slopes (n = 463; p = 0.003). CONCLUSIONS: Both eGFR slopes were associated with future ESRD risk. The eGFRcr slope was comparable with the eGFRcys slope in predicting kidney outcome.

The combined effect of serum cystatin C and dyslipidemia on hypertension in a large health check-up population in China.

OBJECTIVE: Some studies have reported that both serum cystatin C (Cys C) and dyslipidemia are independently associated with hypertension. However, the combined effect of the two factors is still unknown. The present study was aimed at investigating the effect of Cys C combined with dyslipidemia on hypertension in a large health check-up population in China. METHODS: A total of 203 233 health check-up subjects from January 2011 to July 2016 were recruited into this cross-sectional study. A multivariate logistic regression model was used to evaluate the combined effect of Cys C and dyslipidemia on hypertension.RESULTS: In univariate analysis, Cys C, high-density lipoprotein cholesterol, low-density lipoprotein, total cholesterol, and triglycerides were independently correlated with hypertension (p < 0.001). A concentration-dependent combined effect of serum Cys C and dyslipidemia on hypertension was observed in multivariate regression analysis. When compared with Cys C of <0.82 mg/L, the risk of hypertension in Cys C of <0.82 mg/L with dyslipidemia, Cys C  of 0.82-0.94 mg/L with dyslipidemia, Cys C  of 0.94-1.08 mg/L with dyslipidemia, and Cys C  of ≥1.08 mg/L with dyslipidemia was increased 1.946 (95% confidence interval [CI]: 1.827-2.074), 1.973 (95% CI: 1.864-2.088), 2.047 (95% CI: 1.941-2.158), and 2.038 (95% CI: 1.937-2.143) folds, respectively, after adjustment.CONCLUSION: There was an association between hypertension and the combined effect of Cys C with dyslipidemia.