Modification Of Diet In Renal Disease Equation Research Articles

Detection of decline in estimated glomerular filtration rate in patients with type 2 diabetes by cystatin C-based equations.

Aging population is a significant issue in Viet Nam and across the globe. Elderly individuals are at higher risk of chronic kidney disease (CKD), especially those with diabetes. Several studies found that the estimated glomerular filtration rate (eGFR) determined using creatinine-based equations was not as accurate as that determined using cystatin C-based equations. Cystatin C-based equations may be beneficial in elderly patients with an age-associated decline in kidney function. Early determination of eGFR decline and associated factors would aid in appropriate interventions to improve kidney function in elderly patients with diabetes. To determine the utility of cystatin C-based equations in early detection of eGFR decline and to explore factors associated with eGFR decline in elderly patients with diabetes. This cross-sectional study included 93 participants aged ≥ 60 years evaluated in Can Tho University of Medicine and Pharmacy Hospital between October 2022 and July 2023, including 47 and 46 participants with and without diabetes respectively, according to the American Diabetes Association criteria for diabetes. The kappa coefficient, Student's t, Mann-Whitney, χ 2, Pearson's correlation, multivariate logistic regression, and multiple linear regression analyses were employed. The eGFRs were lower with the cystatin C-based equations than with the creatinine-based equations. Good agreement was found between the Modification of Diet in Renal Disease (MDRD) and CKD Epidemiology Collaboration (CKD-EPI) 2021 creatinine-cystatin C equations (kappa = 0.66). In the diabetes group, 30% of the participants had low eGFR. Both plasma glucose and glycated hemoglobin were associated with an increased risk of eGFR decline (P < 0.05) and negatively correlated with eGFR (P = 0.001). By multivariate logistic regression, total cholesterol, and exercise were independently associated with low eGFR. By multiple linear regression, higher plasma glucose levels were correlated with lower eGFR (P = 0.026, r = -0.366). Cystatin C-based equations were superior in the early detection of a decline in eGFR, and the MDRD equation may be considered as an alternative to the CKD-EPI 2021 creatinine-cystatin C equation. Exercise, plasma glucose, and total cholesterol were independently associated with eGFR in patients with diabetes.

Kidney damage and associated risk factors in the rural Eastern Cape, South Africa: A cross-sectional study.

The colliding epidemic of infectious and non-communicable diseases in South Africa could potentially increase the prevalence of kidney disease in the country. This study determines the prevalence of kidney damage and known risk factors in a rural community of the Eastern Cape province, South Africa. This observational cross-sectional study was conducted in the outpatient department of the Mbekweni Community Health Centre in the Eastern Cape between May and July 2022. Relevant data on demography, medical history, anthropometry and blood pressure were obtained. The glomerular filtration rate was estimated using the Chronic Kidney Disease Epidemiology Collaboration Creatinine (CKD-EPICreatinine) equation and the re-expressed four-variable Modification of Diet in Renal Disease (MDRD) equation, without any adjustment for black ethnicity. Prevalence of kidney damage was defined as the proportion of individuals with low eGFR (<60mL/min per 1.73m2). The presence of proteins in the spot urine samples was determined with the use of test strips. We used the logistic regression model analysis to identify the independent risk factors for significant kidney damage. The mean (±standard deviation) age of the 389 participants was 52.3 (± 17.5) years, with 69.9% female. The prevalence of significant kidney damage was 17.2% (n = 67), as estimated by the CKD-EPICreatinine, with a slight difference by the MDRD equation (n = 69; 17.7%), while the prevalence of proteinuria was 7.2%. Older age was identified as a significant risk factor for CKD, with an odds ratio (OR) = 1.08 (95% confidence interval [CI]: 1.06-1.1, p < 0.001). Hypertension was strongly associated with proteinuria (OR = 4.17, 95% CI 1.67-10.4, p<0.001). This study found a high prevalence of kidney damage (17.2%) and proteinuria (7.97%) in this rural community, largely attributed to advanced age and hypertension, respectively. Early detection of proteinuria and decreased renal function at community health centres should trigger a referral to a higher level of care for further management of patients.

Prevalence and associations of chronic kidney disease among antiretroviral therapy-naïve persons living with HIV in Lagos, Nigeria

BackgroundChronic kidney disease (CKD) affects almost 10% of the global populace including people living with HIV (PLWH). PLWH acquire CKD from both traditional and HIV-specific CKD risk factors. This study aimed to determine the prevalence of CKD and associated factors among antiretroviral therapy (ART) naïve PLWH in Lagos, Nigeria. MethodsThis is a secondary data analysis among adult (≥ 18 years) ART-naïve PLWH enrolled at a large ART clinic in Lagos over 6 years. CKD was defined as estimated glomerular filtration rates (eGFR) below 60ml/min/1.73m2 over 3 months. Three estimators [Body surface area corrected Cockcroft Gault (BSA-CG), Modification of Diet in Renal Disease (MDRD), Chronic kidney disease Epidemiology Collaboration (CKD-EPI)] were used to determine the burden of CKD with no race correction factor. Age- and sex-standardised prevalence rates were determined. Cohen Kappa and Spearman correlations were used to compare the estimators. Logistic regressions were applied to identify variables associated with prevalent CKD.ResultsAmong 2 772 PLWH, the mean age was 38 years with males older than females (p < 0.001). The majority of participants were females (62.1%), married (54.8%), employed (85.7%), had underweight or normal body mass index (BMI) (62.2%), and were diagnosed with World Health Organization (WHO) clinical stages 1 and 2 (55.5%). The age- and sex-standardised prevalence of CKD ranged from 10.0 – 17.6% with the highest Spearman’s correlation (0.928) observed with MDRD and CKD-EPI equations. Increasing age [AOR (95% CI), equation] was significantly associated with CKD across all equations [1.09 (1.06 – 1.13), BSA-CG; 1.07 (1.05 – 1.10), MDRD; 1.09 (1.06 -1.12), CKD-EPI]. Other variables associated with CKD [AOR (95% CI), equation] were anaemia [2.50 (1.34 – 4.68), BSA-CG; 1.73 (1.04 - 2.86), MDRD], BMI <25 kg/m2 [3.35 (1.55 – 7.26), BSA-CG; 2.02 (1.18 – 3.46), CKD-EPI], and CD4 counts ≤ 200 cells/µL [2.02 (1.06 – 3.87), BSA-CG].ConclusionThere was a high prevalence of CKD among ART-naïve PLWH at enrollment, which highlights the need to evaluate this population for CKD. Aside increasing age and low CD4 counts, none of the traditional or HIV-specific risk factors were related to CKD diagnosis.

Development of normal reference intervals for renal function in pregnancy: a secondary analysis of clinical trial data

Background Due to its potential nephrotoxicity, screening for pre-existing renal function disorders has become a routine clinical assessment for initiating Tenofovir diphosphate fumarate (TDF)-containing antiretroviral treatment (ART) or pre-exposure prophylaxis (PrEP) in pregnant and non-pregnant adults. We aimed to establish reference values for commonly used markers of renal function in healthy pregnant women of African origin. Methods Pregnant women ≥18 years, not living with HIV, and at 14–28 weeks gestation were enrolled in a PrEP clinical trial in Durban, South Africa between September 2017 and December 2019. Women were monitored 4-weekly during pregnancy until six months postpartum. We measured maternal weight and serum creatinine (sCr) at each visit and calculated creatinine clearance (CrCl) rates using the Cockcroft–Gault (CG) and Modification of Diet in Renal Disease (MDRD) formulae. Reference ranges for sCr and CrCl by CG and MDRD calculations were derived from the mean ± 2SD of values for pregnancy and postdelivery. Results Between 14-–and 40 weeks gestation, 249 African women not exposed to TDF-PrEP contributed a total of 1193 renal function values. Postdelivery, 207 of these women contributed to 800 renal function values. The normal reference range for sCr was 30–57 and 32–60 umol/l in the 2nd and 3rd trimesters of pregnancy. Normal reference ranges for CrCl using the MDRD calculation were 129–282 and 119–267 ml/min/1.73m2 for the 2nd and 3rd trimesters, respectively. Using the CG method of calculation, normal reference ranges for CrCl were 120—304 and 123–309 ml/min/1.73m2 for the 2nd and 3rd trimesters respectively. In comparison, the normal reference range for sCr, CrCl by MDRD and CG calculations postpartum was 40–77 umol/l, 92–201, and 90–238 ml/min/1.73m2, respectively. Conclusions In African women, the Upper Limit of Normal (ULN) for sCr in pregnancy is approximately 20% lower than 6 months postnatally. Inversely, the Lower Limit of Normal (LLN) for CrCl using either MDRD or CG equation is approximately 35% higher than 6 months postnatally. We provide normal reference ranges for sCr and CrCl for both methods of calculation and appropriate for the 2nd and 3rd trimesters of pregnancy in African women.

The prevalence of acute kidney injury in patients with community-acquired pneumonia who required mechanical ventilation.

Community-acquired pneumonia (CAP) is a common reason for intensive care unit (ICU) admission and sepsis. Acute kidney injury (AKI) is a frequent complication of community-acquired pneumonia and is associated with increased short- and long-term morbidity and mortality and healthcare costs. Describe the prevalence of AKI in patients with CAP requiring mechanical ventilation and evaluate its association with inhospital mortality. Retrospective cohort. Intensive care unit. We included patients with CAP on mechanical ventilation. Patients were categorized according to the development of AKI in the first 24 hours of ICU admission using the Kidney Disease Improving Global Outcomes (KDIGO) classification from no AKI, stage 1 AKI, stage 2 AKI, and stage 3 AKI. The primary outcome was hospital mortality. Secondary outcomes were ICU mortality, hospital and ICU length of stay, ventilation duration, tracheostomy, and renal replacement therapy requirement. Of 1536 patients included in the study, 829 patients (54%) had no AKI while 707 (46%) developed AKI. In-hospital mortality was 288/829 (34.8%) for patients with no AKI, 43/111 (38.7%) for stage 1 AKI, 86/216 (40%) for stage 2 AKI, and 196/380 (51.7%) for stage 3 AKI (P<.0001). Multivariate analysis revealed that stages 1, 2, or 3 AKI compared to no AKI were not independently associated with in-hospital mortality. Older age, vasopressor use; decreased Glasgow coma scale, PaO2/Fio2 ratio and platelet count, increased bilirubin, lactic acid and INR were associated with increased mortality while female sex was associated with reduced mortality. Among mechanically ventilated patients with CAP, AKI was common and was associated with higher crude mortality. The higher mortality could not be attributed alone to AKI, but rather appeared to be related to multi-organ dysfunction. Single-center retrospective study with no data on baseline serum creatinine and the use of estimated baseline creatinine distributions based on the MDRD (Modification of Diet in Renal Disease)equation which may lead to an overestimation of AKI. Second, we did not have data on the microbiology of pneumonia, appropriateness of antibiotic therapy or the administration of other medications that have been demonstrated to be associated with AKI.

Biological variation in the estimated glomerular filtration rate of healthy individuals within 24h calculated using 2021CKD-EPI equations.

Use the MDRD (Modification of Diet in Renal Disease) and 2021 CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) equation void of race coefficients (CKD-EPICrea, CKD-EPICys-C, and CKD-EPICrea+Cys-C) to estimate the BV (Biological variation) of eGFR (estimated glomerular filtration rate) within 24h in a healthy population to help explain future studies using eGFR in the context of a known BV. Blood samples were collected from 30 healthy subjects at six time points within 24h. Serum creatinine (S-Crea) and serum cystatin C (S-Cys-C) were measured, and the BV of eGFR was calculated. Outlier and variance homogeneity analyses were performed, followed by CV-ANOVA on trend-corrected data. The eGFR CVI for the four equations (MDRD, CKD-EPICrea, CKD-EPICys-C, and CKD-EPICrea+Cys-C) were 8.39% (7.50-9.51%), 3.90% (3.49-4.42%), 6.58% (5.88-7.46%), and 5.03% (4.50-5.71%), respectively. The corresponding II and RCVpos/neg values were 0.69, 0.48, 0.51, and 0.31, and (29.30%, - 22.66%), (12.69%, - 11.2 6%), (20.97%, - 17.33%), and (15.88%, - 13.70%), respectively; RCVpos /neg of eGFR was highest in the MDRD equation and lowest in the CKD-EPI Crea equation. Additionally, the RCVpos/neg values of the individual was highest in the MDRD equation and lowest in the CKD-EPICrea+Cys-C equation; they are (56.51%, - 36.11%) and (5.01%, - 4.77%), respectively. We present data on the 24h BV eGFR of the 2021 CKD-EPI equations. The presence of BV has impact on the interpretation of GFR results, affecting CKD disease grading. The RCVpos/neg differences were large among the individuals. When using eGFRs based on the MDRD and CKD-EPI equations, it is necessary to combine RCVpos/neg values before interpreting the results.

Impaired kidney function and the risk of all-cause mortality and cardiovascular disease among Chinese hypertensive adults: Using three different equations to estimate the glomerular filtration rate

Impaired kidney function and the risk of all-cause mortality and cardiovascular disease among Chinese hypertensive adults: Using three different equations to estimate the glomerular filtration rate

Exploring an Unknown Corner of a Well-Known Topic: HIIE Influence on Renal Health and Filtration in Healthy Individuals Free of Cardiometabolic Diseases.

Aerobic exercise, specifically high-intensity interval exercise (HIIE), and its effects on renal health and filtration (RHF) are not well understood. Several studies support incorporating contemporary biomarkers serum cystatin C (CyC) and urine epidermal growth factor (uEGF) to combat the volatility of serum creatinine (sCr). Using these biomarkers, we examined the acute influences HIIE has on RHF to determine if there is a ceiling effect in healthy populations. The purpose was to determine the influence of an acute bout of HIIE on RHF. Thirty-six participants (n = 22 males; n = 14 females; age 37.6 ± 12.4 years.; BF% 19.2 ± 7.1%; VO2max 41.8 + 7.4 mL/kg/min) completed 30 min of HIIE on a treadmill (80% and 40% of VO2reserve in 3:2 min ratio). Blood and urine samples were obtained under standardized conditions before, 1 h, and 24 h post-exercise. CyC, sCR, uEGF, urine creatinine (uCr), uCr/uEGF ratio, and multiple estimates of glomerular filtration rate (eGFR) Modification of Diet in Renal Disease (MDRD) and CKD-EPI equations were used. The analysis employed paired sample t-tests and repeated measures ANOVAs. CyC, uEGF, uCr, and uCr/uEGF ratio concentrations were not altered between timepoints. sCr increased 1 h post-exercise (p > 0.002) but not at 24 h post-exercise. eGFR decreased in the MDRD and CKD-EPI equations at 1 h (p > 0.012) with no changes at 24 h post-exercise. CyC and sCr/CyC demonstrated no significant changes. CyC and uEGF are not altered by acute HIIE. The results demonstrate a potential ceiling effect in contemporary and traditional biomarkers of RHF, indicating improvements in RHF may be isolated to populations with reduced kidney function.

Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy

BackgroundThere are many Machine Learning (ML) models which predict acute kidney injury (AKI) for hospitalised patients. While a primary goal of these models is to support clinical decision-making, the adoption of inconsistent methods of estimating baseline serum creatinine (sCr) may result in a poor understanding of these models’ effectiveness in clinical practice. Until now, the performance of such models with different baselines has not been compared on a single dataset. Additionally, AKI prediction models are known to have a high rate of false positive (FP) events regardless of baseline methods. This warrants further exploration of FP events to provide insight into potential underlying reasons.ObjectiveThe first aim of this study was to assess the variance in performance of ML models using three methods of baseline sCr on a retrospective dataset. The second aim was to conduct an error analysis to gain insight into the underlying factors contributing to FP events.Materials and methodsThe Intensive Care Unit (ICU) patients of the Medical Information Mart for Intensive Care (MIMIC)-IV dataset was used with the KDIGO (Kidney Disease Improving Global Outcome) definition to identify AKI episodes. Three different methods of estimating baseline sCr were defined as (1) the minimum sCr, (2) the Modification of Diet in Renal Disease (MDRD) equation and the minimum sCr and (3) the MDRD equation and the mean of preadmission sCr. For the first aim of this study, a suite of ML models was developed for each baseline and the performance of the models was assessed. An analysis of variance was performed to assess the significant difference between eXtreme Gradient Boosting (XGB) models across all baselines. To address the second aim, Explainable AI (XAI) methods were used to analyse the XGB errors with Baseline 3.ResultsRegarding the first aim, we observed variances in discriminative metrics and calibration errors of ML models when different baseline methods were adopted. Using Baseline 1 resulted in a 14% reduction in the f1 score for both Baseline 2 and Baseline 3. There was no significant difference observed in the results between Baseline 2 and Baseline 3. For the second aim, the FP cohort was analysed using the XAI methods which led to relabelling data with the mean of sCr in 180 to 0 days pre-ICU as the preferred sCr baseline method. The XGB model using this relabelled data achieved an AUC of 0.85, recall of 0.63, precision of 0.54 and f1 score of 0.58. The cohort size was 31,586 admissions, of which 5,473 (17.32%) had AKI.ConclusionIn the absence of a widely accepted method of baseline sCr, AKI prediction studies need to consider the impact of different baseline methods on the effectiveness of ML models and their potential implications in real-world implementations. The utilisation of XAI methods can be effective in providing insight into the occurrence of prediction errors. This can potentially augment the success rate of ML implementation in routine care.

Correlation of eGFR values estimated by different equations based on creatinine and cystatin-C in patients on hemodialysis treatment at Teaching Hospital Karapitiya, Galle, Sri Lanka

The present study was to compare eGFR values estimated from different equations based on creatinine and cystatin-C in patients on hemodialysis treatment. eGFR values were calculated using Modification of Diet in Renal Disease (MDRD), Chronic Kidney Disease Epidemiology equations based on Creatinine (CKD-EPICr) and cystatin-C values alone (CKDEPI Cys C) and by their combination (CKD-EPICr-Cys C), using 40 pre-dialysis samples. No significant differences in renal function parameters and eGFR were observed, either between male (55%) and female (45%) patients or within different age groups (p&gt;0.05). Certain levels of agreement (p&gt;0.05) were observed between the equations, except for the values derived from CKD-EPICys C and CKD-EPICr-Cys C (p = 0.022). Significant positive correlations were observed between all selected equations. The highest correlation was observed between CKD-EPICr and MDRD (r = 0.998, p = 0.000), whereas the lowest correlation was found between MDRD and CKD-EPICys C (r = 0.552, p = 0.000). The present findings revealed that MDRD and CKD-EPICr equations are suitable for the calculation of eGFR in routine local clinical settings for the assessment of progression of kidney impairment in patients with CKD on hemodialysis treatment. However, the use of CKD-EPICr-Cys C rather than the CKD-EPICys C is recommended as a confirmatory tool where necessary.

Abstract P374: Greater Burden Of Chronic Kidney Disease Is Associated With Hypertension Prevalence And Management In South Africa

Introduction: Complications e.g., chronic kidney disease (CKD) are frequent with longstanding hypertension, particularly if poorly managed. Hypothesis: We assessed the hypothesis that prevalence and associations of CKD differed by hypertension prevalence, awareness, treatment and control in South Africa using five CKD estimates. Methods: In this randomly selected cross-sectional study, glomerular filtration rate (GFR) was estimated by CKD Epidemiology Collaboration (CKD-EPI) equations [CKD-EPI creatinine (CKD-EPIcr), CKD-EPI cystatin C, CKD-EPI creatinine-cystatin C], Modification of Diet in Renal Disease (MDRD) and Cockcroft-Gault formula (CGF). Blood pressures were measured, and history of hypertension management collected. Results: Among 1092 participants, mean age 43.5 years, 64% women, the prevalence of hypertension was 42% with similar rates in men (41%) and women (43%). In participants with hypertension (n=460), awareness, treatment and control were 61.5% (283/460), 47.2% (217/460) and 27.0% (124/460), with better rates in women compared with men (p&lt;0.001). CKD prevalence (GFR&lt;60 mL/min/1.73m 2 ) was 2.0-5.9% overall using 5 formulae, and significantly higher in participants with (3.9-10.2%) compared to without hypertension (0.6-2.7%) (p&lt;0.001). In participants with hypertension, CKD was higher in those aware (5.7-13.8%) vs unaware (1.1-4.5%) of their diagnosis (p≤0.015), on treatment (6.9-14.3%) vs none (1.2-6.6%) (p≤0.016), and those with controlled (BP&lt;140/90 mmHg) vs uncontrolled hypertension (6.5-15.1% vs. 3-8%, p≤0.096). In models adjusted for age, sex and obesity, higher hypertension prevalence and awareness were significantly (p&lt;0.05) associated with CKD by CKD-EPIcr and MDRD equations; hypertension treatment was significantly associated with CKD by CKD-EPIcr, MDRD and CGF formulae, while hypertension control was not associated with CKD. Conclusions: This study highlights the higher prevalence and greater likelihood of CKD in participants with hypertension and those who were diagnosed and receiving treatment, likely due to the longer duration of their hypertension compared with their counterparts. Higher CKD in the diagnosed and treated reinforces the need for optimal control, which was low in this cohort.

Comparison of CKD-EPI, C-G and MDRD equations for estimating glomerular filtration rate in chronic kidney disease population in South-Western Nigeria

Background: Ethnic variabilities make reliability of formula equations for assessing glomerular filtration rate (GFR) doubtful in many populations. We compared Cockroft-Gault (CG), modification of diet in renal disease (MDRD), and chronic kidney diseases epidemiology collaboration (CKD-EPI) equations in adult Nigerian CKD subjects.&#x0D; Methodology: We measured 24-hour-urinary creatinine clearance of 311 adult CKD patients and compared with the three estimated equations. Bland-Altman plots were used to assess agreement between estimated equations and measured creatinine clearance (mGFR). Receiver-operating curve (ROC) analysis was used to assess the diagnostic power of the equations. Equation with accuracy within 30% of mGFR of ≥90% was considered acceptable for use.&#x0D; Results: Mean age was 41.9±12.7 years with 182(58.5%) females. The mean GFR using CKD-EPI, 2 MDRD and CG equations were 69.5±33.9, 65.9±33.0 and 66.2±30.9 mls/min/1.73m respectively 2 (mGFR 68.3±31.1mls/min /1.73m ). The 3 equations showed positive correlation to mGFR (r=0.95) but CKD-EPI had the least bias.&#x0D; Conclusion: All three equations can be used but CKD-EPI equation is preferable in Nigerian CKD patients, especially with GFR&gt; 60mls/min.

Diagnostic value of neutrophil gelatinase-associated lipocalin (NGAL) as an early biomarker for detection of renal failure in hypertensives: a case–control study in a regional hospital in Ghana

BackgroundRenal failure is one of the most serious vascular effects of hypertension. For better therapy and prevention of complications, early kidney disease identification in these patients is absolutely essential. However, current studies have proposed plasma Neutrophil Gelatinase Associated Lipocalin (pNGAL) to be a better biomarker comparative to serum creatinine (SCr). This study assessed the diagnostic utility of plasma neutrophil gelatinase-associated lipocalin (pNGAL) as a biomarker for early nephropathy diagnosis in hypertensive individuals.MethodsThis hospital-based case–control study comprised 140 hypertensives and 70 healthy participants. A well-structured questionnaire and patient case notes were used to document relevant demographic and clinical information. 5 ml of venous blood sample was taken to measure fasting blood sugar levels, creatinine, and plasma NGAL levels. All data were analyzed using the Statistical Package for Social Sciences (SPSS release 20.0, copyrite©SPSS Inc.) and a p-value < 0.05 was considered statistically significant.ResultsIn this study the plasma neutrophil gelatinase-associated lipocalin (NGAL) levels were significantly higher in cases compared to controls. Hypertensive cases also had significantly higher waist-circumference compared to the control group. The median fasting blood sugar level was significantly higher in cases compared to controls. This study established the use of Modification of Diet in Renal Disease (MDRD), Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI), and Cockcroft and Gault formula (CG) as the most accurate predictive equations for assessing renal dysfunction. The threshold for NGAL above which renal impairment can be assessed was found to be 109.4 ng/ml (sen-91%, spec. – 68%), 120 ng/ml (sen- 100%, spec- 72%) and 118.6 ng/ml (sen- 83%, spec- 72%) for MDRD, CKD-EPI and CG equations respectively. The prevalence of CKD was 16.4%, 13.6% and 20.7% respectively using the MDRD, CKD-EPI and CG.ConclusionFrom this study, pNGAL is a better indicator of kidney impairment in the early stages of CKD as compared with sCr in general hypertensive population.

MP12-08 EVALUATING THE IMPACT OF EXCLUDING THE RACE FACTOR FROM THE eGFR EQUATION ON BLADDER CANCER TREATMENT OPTIONS

MP12-08 EVALUATING THE IMPACT OF EXCLUDING THE RACE FACTOR FROM THE eGFR EQUATION ON BLADDER CANCER TREATMENT OPTIONS

Glomerular Filtration Rate: Comparison of Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) Equations with the Effect of Age in a Tertiary Hospital in Terengganu, Malaysia

Objective: The Malaysian Ministry of Health Clinical Practice Guideline 2018 recommends the clinical use of the CKD-EPI equation instead of the MDRD equations. This study aims to examine mean eGFR and prevalence of chronic kidney disease (CKD) using both equations based on different age groups and to ascertain inter-rater agreement between both equations, particularly in the elderly in a tertiary hospital in Terengganu, Malaysia. Method: Serum creatinine results were extracted from the lab information system (LIS) for a 1-year duration in a patient more than and equal to 18 years old (≥18 years old). The first creatinine results from 69,329 people were used to estimate GFR using both equations. The mean eGFR, prevalence of the CKD and agreement between those two equations were compared. Result: In comparison with the MDRD equation, CKD-EPI revealed lower mean eGFR (82.63 vs 85.42 mL/min/1.73m², p&lt;0.001) and reduce in the prevalence of the chronic kidney disease (CKD) (25.7% vs 28.4%). When subdivided by age, the prevalence of CKD reduced in the age group 18-79 years but increased in the elderly age &gt;80 years. The numerical agreement of eGFR was excellent (ICC = 0.883), and the categorical agreement of CKD was almost perfect in all age groups. (ƙ= 0.932). Conclusion: CKD-EPI equation reduces the prevalence of CKD in young people and increases prevalence in the elderly (&gt;80 years old). However, the CKD-EPI equation is an appropriate alternative to the MDRD equation for all age groups, including the elderly. Further validation studies involving a large multiethnic and adequate elderly population in Malaysia are much needed.

Association between Decreased Estimated Glomerular Filtration Rates and Long-term Mortality in Korean Patients with Acute Myocardial Infarction.

A reduced estimated glomerular filtration rate (eGFR) is a predictor for mortality in patients with acute myocardial infarction (AMI). This study aimed to compare mortality according to the GFR and eGFR calculation methods during long-term clinical follow-ups. Using the Korean Acute Myocardial Infarction Registry-National Institutes of Health Data, 13,021 patients with AMI were included in this study. Patients were divided into the surviving (n=11,503, 88.3%) and deceased (n=1,518, 11.7%) groups. Clinical characteristics, cardiovascular risk factors, and 3-year mortality-related factors were analyzed. eGFR was calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) equations. The surviving group was younger than the deceased group (62.6±12.4 vs. 73.6±10.5 years, p<0.001), whereas the deceased group had higher hypertension and diabetes prevalences than the surviving group. A high Killip class was more frequently observed in the deceased group. eGFR was significantly lower in the deceased group (82.2±24.1 vs. 55.2±28.6 ml/min/1.73 m2, p<0.001). Multivariate analysis revealed that low eGFR was an independent risk factor for mortality during the 3-year follow-up. The CKD-EPI equation was more useful for predicting mortality than the MDRD equation (0.766; 95% confidence interval [CI], 0.753-0.779 vs. 0.738; 95% CI, 0.724-0.753; p=0.001). Decreased renal function was a significant predictor of mortality after 3 years in patients with AMI. The CKD-EPI equation was more useful for predicting mortality than the MDRD equation.

A Deep Learning Approach for the Estimation of Glomerular Filtration Rate.

An accurate estimation of glomerular filtration rate (GFR) is clinically crucial for kidney disease diagnosis and predicting the prognosis of chronic kidney disease (CKD). Machine learning methodologies such as deep neural networks provide a potential avenue for increasing accuracy in GFR estimation. We developed a novel deep learning architecture, a deep and shallow neural network, to estimate GFR (dlGFR for short) and examined its comparative performance with estimated GFR from Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations. The dlGFR model jointly trains a shallow learning model and a deep neural network to enable both linear transformation from input features to a log GFR target, and non-linear feature embedding for stage of kidney function classification. We validate the proposed methods on the data from multiple studies obtained from the NIDDK Central Database Repository. The deep learning model predicted values of GFR within 30% of measured GFR with 88.3% accuracy, compared to the 87.1% and 84.7% of the accuracy achieved by CKD-EPI and MDRD equations (p = 0.051 and p &lt; 0.001, respectively). Our results suggest that deep learning methods are superior to equations resulting from traditional statistical methods in estimating glomerular filtration rate. Based on these results, an end-to-end predication system has been deployed to facilitate use of the proposed dlGFR algorithm.

How Websites and Mobile Applications Wrongly Calculate eGFR by MDRD Equation

Equations to estimate glomerular filtration rate (GFR) are routinely used for the diagnosis and classification of chronic kidney diseases (CKDs). Modification of Diet in Renal Disease (MDRD) equation is an old one and has been replaced in many countries by CKD Epidemiology Collaboration (CKD-EPI) equation, but MDRD is still available in routine practice worldwide, especially in developing countries. Many users of MDRD, don’t know that it has two different versions (equations). This idea makes confusion in practice and affected the developers of this equation in internet websites and mobile applications. In this review, we will focus on this dilemma and try to solve it by explaining the basics of these two versions, and when I can choose each version, then the reflection of this issue on about 105 websites/Applications from different countries around the world. After that, we will give recommendations for both developers and seekers of this equation about overcoming this debate.

Effect of Glomerular Filtration Rate by Different Equations on Prediction Models for End-Stage Renal Disease in Diabetes.

Background and ObjectivesThe study aimed to evaluate the performance of a predictive model using the kidney failure risk equation (KFRE) for end-stage renal disease (ESRD) in diabetes and to investigate the impact of glomerular filtration rate (GFR) as estimated by different equations on the performance of the KFRE model in diabetes.Design, Setting, Participants, and MeasurementsA total of 18,928 individuals with diabetes without ESRD history from the UK Biobank, a prospective cohort study initiated in 2006–2010, were included in this study. Modification of diet in renal disease (MDRD), chronic kidney disease epidemiology collaboration (CKD-EPI) or revised Lund–Malmö (r-LM) were used to estimate GFR in the KFRE model. Cox proportional risk regression was used to determine the correlation coefficients between each variable and ESRD risk in each model. Harrell’s C-index and net reclassification improvement (NRI) index were used to evaluate the differentiation of the models. Analysis was repeated in subgroups based on albuminuria and hemoglobin A1C (HbA1c) levels.ResultsOverall, 132 of the 18,928 patients developed ESRD after a median follow-up of 12 years. The Harrell’s C-index based on GFR estimated by CKD-EPI, MDRD, and r-LM was 0.914 (95% CI = 0.8812–0.9459), 0.908 (95% CI = 0.8727–0.9423), and 0.917 (95% CI = 0.8837–0.9496), respectively. Subgroup analysis revealed that in diabetic patients with macroalbuminuria, the KFRE model based on GFR estimated by r-LM (KFRE-eGFRr-LM) had better differentiation compared to the KFRE model based on GFR estimated by CKD-EPI (KFRE-eGFRCKD-EPI) with a KFRE-eGFRr-LM C-index of 0.846 (95% CI = 0.797–0.894, p = 0.025), while the KFRE model based on GFR estimated by MDRD (KFRE-eGFRMDRD) showed no significant difference compared to the KFRE-eGFRCKD-EPI (KFRE-eGFRMDRD C-index of 0.837, 95% CI = 0.785–0.889, p = 0.765). Subgroup analysis of poor glycemic control (HbA1c >8.5%) demonstrated the same trend. Compared to KFRE-eGFRCKD-EPI (C-index = 0.925, 95% CI = 0.874–0.976), KFRE-eGFRr-LM had a C-index of 0.935 (95% CI = 0.888–0.982, p = 0.071), and KFRE-eGFRMDRD had a C-index of 0.925 (95% CI = 0.874–0.976, p = 0.498).ConclusionsIn adults with diabetes, the r-LM equation performs better than the CKD-EPI and MDRD equations in the KFRE model for predicting ESRD, especially for those with macroalbuminuria and poor glycemic control (HbA1c >8.5%).

Relationship between Arterial Stiffness and Renal Function Determined by Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) Equations in a Chinese Cohort Undergoing Health Examination.

Background The association between arterial stiffness and cardiovascular risk in CKD and ESRD patients is well established. However, the relationship between renal function estimation and properties of large arteries is unclear due to the four different methods used to quantify glomerular filtration. This study investigated the relationship between carotid-femoral pulse wave velocity (c-fPWV), as a measure of arterial stiffness, and accepted metrics of renal function. Methods This cross-sectional study was conducted in 431 health examination individuals in China, enrolled from January 2017 to June 2019. c-fPWV and blood pressure were measured, and blood samples were obtained for all participants. Four different methods were used to determine the estimated glomerular filtration rate (eGFR) as described by the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) equations: (i) CKD-EPISCr formula based on SCr, (ii) CKD-EPICysC formula based on CysC, (iii) CKD-EPISCr/CysC formula based on Cr and CysC, and (iv) MDRD. Results Of all of the study participants (average age 53.1 ± 13.0 years, 68.1% male), 23.7% had diabetes mellitus and 66.6% had hypertension. The average eGFR values determined by the CKD-EPISCr, CKD-EPICysC, CKD-EPISCr/CysC, and MDRD equations were 91.9 ± 15.6, 86.8 ± 21.4, 89.6 ± 18.3, and 90.7 ± 16.6 ml/min/1.73m2, respectively. c-fPWV was significantly and negatively correlated with eGFR determined by CKD-EPISCr (r = −0.336, P < 0.001), CKD-EPICysC (r = −0.385, P < 0.001), CKD-EPISCr/CysC (r = −0.378, P < 0.001), and MDRD (r = −0.219, P < .001) equations. After adjusting for confounding factors, c-fPWV remained significantly and negatively correlated with eGFR determined by the CKD-EPICysC equation (β = −0.105, P = 0.042) and significantly and positively correlated with age (β = 0.349, P ≤ 0.01), systolic pressure (β = 0.276, P ≤ 0.01), and hypoglycemic drugs (β = 0.101, P = 0.019). Conclusion In a health examination population in China, c-fPWV is negatively correlated with eGFR determined by four different equations; however, only the metric of eGFR determined by the equation for CKD-EPICysC showed an independent relation with c-fPWV.