Independent Predictors Of Chronic Kidney Disease Research Articles

Biomedical Evaluation of Early Chronic Kidney Disease in the Air Force: Building a Predictive Model from the Taiwan Military Health Service.

Chronic kidney disease (CKD) is one of the most common diseases worldwide. The increasing prevalence and incidence of CKD have contributed to the critical problem of high medical costs. Due to stressful environments, aircrew members may have a high risk of renal dysfunction. A better strategy to prevent CKD progression in Air Force personnel would be to diagnosis CKD at an early stage. Since few studies have been conducted in Taiwan to examine the long-term trends in early CKD in Air Force aircrew members, this study is highly important. We investigated the prevalence of CKD and established a predictive model of disease variation among aircrew members. In this retrospective study, we included all subjects who had received physical examinations at a military hospital from 2004 to 2010 and who could be tracked for four years. The Abbreviated Modification of Diet in Renal Disease Formula (aMDRD) was used to estimate the glomerular filtration rate (GFR) and was combined with the National Kidney Foundation/ Kidney Disease Outcomes Quality Initiative (NKF-K/DOQI) to identify CKD patients. A total of 212 aircrew members were assessed. The results showed that the prevalence of CKD was 3.8%, 9.4%, 9.0%, and 9.4% in each of the four years. According to the logistic regression analysis, abnormal urobilinogen levels, ketones, and white blood cell (WBC) counts in urine and a positive urine occult blood test increased the risk of CKD. A positive urine occult blood test can be used to predict the future risk of CKD. Moreover, the generalized estimating equation (GEE) model showed that a greater risk of CKD with increased examination time, age and seniority had a negative effect. In conclusion, abnormal urobilinogen levels, ketones, and urine WBC counts in urine as well as a positive urine occult blood test might serve as independent predictors for CKD. In the future, we can focus not only on annual physical examinations but also on simple and accurate examinations, such as urine occult blood testing, to determine the risk of CKD and prevent its progression in our aircrew members.

Associations between metabolic profiles and incident CKD in the Chinese population aged 45-85years.

The roles of metabolic indices in predicting chronic kidney disease (CKD) were lacking. This study aimed to examine the concomitant impact of metabolic and novel anthropometric indices on incident CKD in the Chinese populations. This prospective cohort study included 1825 males and 2218 females aged between 45 and 85years, derived from the ongoing prospectively cohort of China Health and Retirement Longitudinal Study (CHARLS), from 2011 to 2015. The outcome was defined as an estimated glomerular filtration rate (eGFR) < 60mL/min/1.73 m2. During the 5-years follow-up period, 3.0% (55/1825) of males and 4.1% (90/2218) of the females developed CKD. After multivariable adjustment, elevated triglyceride (TG), low high-density lipoprotein cholesterol (HDL-C), serum uric acid (sUA), elevated visceral fat index (VFI), elevated body shape index (BSI) and elevated body roundness index (BRI) in males, and sUA, and BRI in females were the independent predictors for CKD. Composite scores, composed of sUA, history of cardiovascular disease (CVD), waist circumstance (WC), HDL-C, and BRI in males and sUA, hypertension, and BRI in females were constructed that could accurately predict CKD. Our study found that elevated levels of TG, sUA, BSI, BRI, and diminished HDL in males and elevated levels of sUA, and BRI in females, are indicative of the incident CKD. The composite score, integrating a history of disease, metabolic indices, and noval anthropometric indices, could accurately differentiate individuals with and without incident CKD, proving useful for CKD care and management.

Resting heart rate is associated with the prevalence of chronic kidney disease in Korean adult: the Korean National Health and Nutrition Survey.

Chronic kidney disease (CKD) poses a significant health challenge, yet early detection remains difficult. Resting heart rate (RHR) has been shown to be a reliable indicator of type 2 diabetes, prompting interest in its potential as an independent predictor of CKD. This study aimed to investigate the association between RHR and CKD prevalence, as well as explore potential interactions between RHR and other risk factors for CKD in a sample of 25,246 adults. Data from the Korean National Health and Nutrition Examination Survey (2011-2014) were utilized for this study, with 19,210 participants included after screening. Logistic regression analysis was employed to examine the relationship between RHR and CKD prevalence. Stratified analyses were conducted based on known risk factors for CKD. Participants with an RHR ≥ 90bpm exhibited a 2.07-fold [95% confidence interval (CI): 1.28-3.34] and 2.22-fold (95% CI: 1.42-3.48) higher prevalence of CKD in men and women, respectively, compared to those with an RHR < 60bpm. The association between RHR and CKD prevalence was particularly pronounced in younger participants (40-59years vs. ≥ 60years), individuals with diabetes (yes vs. no), and those with a longer duration of diabetes (≥ 7years vs. < 7years). Elevated RHR was found to be significantly associated with a higher prevalence of CKD in both men and women, independent of demographic, lifestyle, and medical factors. These findings suggest that RHR could serve as a valuable predictor for undiagnosed CKD.

Prevalence of undetected chronic kidney disease in high-risk middle-aged patients in primary care: a cross-sectional study.

The global health burden of chronic kidney disease (CKD) results from both the disease itself and the numerous health problems associated with it. The aim of this study was to estimate the prevalence of previously undetected CKD in middle-aged patients with risk factors for CKD. Identified patients were included in the Styrian nephrology awareness program "kidney.care 2.0" and data on their demographics, risk factors and kidney function were described. Cross-sectional analysis of baseline data derived from the "kidney.care 2.0" study of 40-65 year old patients with at least one risk factor for CKD (hypertension, diabetes, cardiovascular disease, obesity or family history of end-stage kidney disease). Participants were considered to have previously undetected CKD if their estimated glomular filtration rate (eGFR) was less than 60 ml/min/1.73 m2 and/or albumin creatinine ratio (ACR) ≥ 30 mg/g. We calculated the prevalence of previously undetected CKD and performed multivariate analyses. A total of 749 participants were included in this analysis. The prevalence of previously undetected CKD in an at-risk population was estimated at 20.1% (95%CI: 17.1-23.6). Multivariable analysis showed age (OR 1.06, 95%CI: 1.02-1.09), diabetes mellitus (OR 1.65, 95%CI: 1.12-2.30) and obesity (OR: 1.55, 95%CI: 1.04-2.30) to be independent predictors of CKD. The majority of patients with previously undetected CKD had category A2-A3 albuminuria (121 out of 150). Most patients with previously undetected eGFR < 60 ml/min/1.73 m2 were in stage G3 (36 out of 39 patients). Pragmatic, targeted, risk-based screening for CKD in primary care successfully identified a significant number of middle-aged patients with previously undetected CKD and addressed the problem of these patients being overlooked for future optimized care. The intervention may slow progression to kidney failure and prevent related cardiovascular events.

Adropin Predicts Chronic Kidney Disease in Type 2 Diabetes Mellitus Patients with Chronic Heart Failure.

Adropin is a multifunctional secreted protein, which is involved in the metabolic modulation of the heart-brain-kidney axis in heart failure (HF). The aim of the study was to detect the plausible predictive value of serum levels of adropin for chronic kidney disease (CKD) grades 1-3 in type 2 diabetes mellitus (T2DM) patients with chronic HF. We enrolled 417 T2DM individuals with chronic HF and subdivided them into two groups depending on the presence of CKD. The control group was composed of 25 healthy individuals and 30 T2DM patients without HF and CKD. All eligible patients underwent an ultrasound examination. Adropin was detected by ELISA in blood samples at the study baseline. We found that adropin levels in T2DM patients without HF and CKD were significantly lower than in healthy volunteers, but they were higher than in T2DM patients with known HF. The optimal cut-off point for adropin levels was 2.3 ng/mL (area under the curve [AUC] = 0.86; 95% CI = 0.78-0.95; sensitivity = 81.3%, specificity = 77.4%). The multivariate logistic regression adjusted for albuminuria/proteinuria showed that serum levels of adropin <2.30 ng/mL (OR = 1.55; p = 0.001) independently predicted CKD. Conclusions: Low levels of adropin in T2DM patients with chronic CH seem to be an independent predictor of CKD at stages 1-3.

Peri-operative risk factors of chronic kidney disease after liver transplantation

Chronic kidney disease (CKD) is a frequent long-term complication after liver transplantation (LT) and is associated with poor long-term survival. The aim of our study was to identify the risk factors of developing post-transplant CKD at 1 year, during the pre-operative, peri-operative, and post-LT phases. All consecutive patients who underwent primary LT between July 2013 and February 2018 were analyzed. To assess the impact of peri- and post-operative factors on renal function at 1 year we performed a propensity score matching on gender, age of the recipient, Model for End-Stage Liver Disease (MELD) score, etiology of the hepatic disease, and estimated Glomerular Filtration Rate (eGFR) at baseline. Among the 245 patients who underwent LT, 215 had available data at one year (Y1), and 46% of them had CKD. Eighty-three patients in the CKD group and 83 in the normal renal function group were then matched. The median follow-up was 35months (27-77). Patients with CKD at Y1 had a decreased 5-year survival compared to patients with normal renal functionat one year: figures were62% and 90%, respectively, p = 0.001. The independent predictors of CKD at Y1 were major complications (OR = 2.2, 95% CI [1.2-4.2]), p = 0.015, intensive care unit (ICU) stay > 5days (OR = 2.2, 95% CI [1.3-5.1]), p = 0.046, ICU serum lactate level at 24h ≥ 2.5mmol/L (OR = 3.8 95% CI [1.1-8]), p = 0.034, need forpost-LT renal replacement therapy (OR = 6.4 95% CI [1.4-25]), and MELD score ≥ 20 (OR = 2.1 95% CI [1.1-3.9]), p = 0.019. The peri-operative period has a major impact on CKD incidence. Early recognition of patients at high risk of CKD may becritical for implementation of nephroprotective measures.

Follow-up after neonatal heart disease repair: watch out for chronic kidney disease and hypertension!

BackgroundWith advances in care, neonates undergoing cardiac repairs are surviving more frequently. Our objectives were to 1) estimate the prevalence of chronic kidney disease (CKD) and hypertension 6 years after neonatal congenital heart surgery and 2) determine if cardiac surgery-associated acute kidney injury (CS-AKI) is associated with these outcomes.MethodsTwo-center prospective, longitudinal single-visit cohort study including children with congenital heart disease surgery as neonates between January 2005 and December 2012. CKD (estimated glomerular filtration rate < 90 mL/min/1.73m2 or albumin/creatinine ≥3 mg/mmol) and hypertension (systolic or diastolic blood pressure ≥ 95th percentile for age, sex, and height) prevalence 6 years after surgery was estimated. The association of CS-AKI (Kidney Disease: Improving Global Outcomes definition) with CKD and hypertension was determined using multiple regression.ResultsFifty-eight children with median follow-up of 6 years were evaluated. CS-AKI occurred in 58%. CKD and hypertension prevalence were 17% and 30%, respectively; an additional 15% were classified as having elevated blood pressure. CS-AKI was not associated with CKD or hypertension. Classification as cyanotic postoperatively was the only independent predictor of CKD. Postoperative days in hospital predicted hypertension at follow-up.ConclusionsThe prevalence of CKD and hypertension is high in children having neonatal congenital heart surgery. This is important; early identification of CKD and hypertension can improve outcomes. These children should be systematically followed for the evolution of these negative outcomes. CS-AKI defined by current standards may not be a useful clinical tool to decide who needs follow-up and who does not.

Association between Non-Alcoholic Fatty Liver Disease and Chronic Kidney Disease: A Cross-Sectional Study.

It is unclear whether the link between non-alcoholic fatty liver disease (NAFLD) and chronic kidney disease (CKD) is mediated by common risk factors. We aimed to elucidate the association between NAFLD and CKD using propensity score (PS)-matched analysis. We assessed 3725 Japanese individuals, excluding those with hepatitis B or C infection and men and women who consumed >30 and >20 g/day of alcohol, respectively. Of these, we enrolled 1097 Japanese subjects with NAFLD diagnosed by ultrasonography and 1097 PS-matched subjects without NAFLD. The prevalence of CKD was higher in subjects with NAFLD than in those without NAFLD before PS matching, but there was no significant difference between these groups in terms of CKD prevalence after PS matching. There was no difference in the prevalence of CKD between those with and without NAFLD in the subgroup analyses. Logistic regression analysis demonstrated that obesity, hypertension, and hyperuricemia were independent predictors of CKD, but NAFLD was not independently associated with CKD. In subjects with NAFLD, obesity, hypertension, and hyperuricemia were independent predictors of CKD. Thus, the link between NAFLD and CKD may be mediated by common risk factors. We recommend screening for CKD when patients with NAFLD have the aforementioned comorbidities.

Clinical characteristics of children with congenital anomalies of the kidney and urinary tract and predictive factors of chronic kidney disease.

Congenital anomalies of kidney and urinary tract (CAKUT) are the leading causes of chronic kidney disease (CKD) in childhood. Determining the clinical course, outcome, and prognostic factors of this heterogeneous disease group is important to provide appropriate management and follow-up. Therefore, we aimed to identify the risk factors of CKD in CAKUT and the differences in clinical courses between disease subgroups. Three hundred patients (M/F: 203/97) divided into 16 CAKUT categories were enrolled in the study. Logistic regression and survival analyses were performed to determine the risk factors for CKD that is defined as estimated GFR (eGFR) lower than 90 ml/min/1.73 m2 for at least 6 months. The median age of the study population at the time of the diagnosis was 0.6 years (IQR; 0.1-4.0 years). Among available prenatal diagnoses (n= 138), hydronephrosis (HN) (n= 83; 60.1%) and multicystic dysplastic kidney (MCDK) (n= 39; 28.2%) were the most frequently encountered ones. A total of 24 patients had CKD, and 13 of them (54.1%) progressed to end stage renal disease (ESRD). Patients with posterior urethral valve (PUV) had CKD and ESRD more frequently when compared to the other diagnostic groups (p < 0.001 for CKD, and p < 0.001 for ESRD). Furthermore, the PUV subgroup progressed to ESRD (median 3.63 years) earlier than the other subgroups. The diagnosis of PUV, proteinuria on the first admission, vesicoureteral reflux, and oligohydramnios were identified as independent predictors for CKD in the multivariate logistic regression analysis. Knowing predictive factors for CKD in patients with CAKUT is valuable for physicians in order to determine appropriate treatment strategies and prognosis.

Natural history and risk factors for diabetic nephropathy in Italy: insights from AMD Annals initiative

Diabetic patients have a high risk to develop diabetic nephropathy. Diabetic nephropathy represents non only a risk factor for progression toward end stage renal disease but it is also associates with an increased risk to have of major cardiovascular events. Over the last few years, analysis of the AMD annals dataset has contributed several important insights on the clinical features of type 2 diabetes kidney disease and their prognostic and therapeutic implications. First, non-albuminuric renal impairment is the predominant clinical phenotype. Even though associated with a lower risk of progression compared to overt albuminuria, it contributes significantly to the burden of end-stage renaldisease morbidity. Second, optimal blood pressure control provides significant but incomplete renal protection. It reduces albuminuria but there may be a J curve phenomenon with eGFR at very low blood pressure values. Third, hyperuricemia and diabetic hyperlipidemia, namely elevated triglycerides and low HDL cholesterol, are strong independent predictorsof chronic kidney disease onset in diabetes, although the pathogenetic mechanisms underlying these associationsremain uncertain. These data help clarify the natural history of CKD in patients with type 2 diabetes and provide important clues for designing futureinterventional studies. KEY WORDS albuminuria; glomerular filtration rate; hypertension; uric acid; type2 diabetes mellitus.

C - reactive protein predictive marker value and its significance in management of pre dialysis chronic kidney disease patients when correlated with total serum proteins and serum albumin levels: experience in a teaching institution

Background: Chronic kidney disease (CKD) is imposing newer challenges, not only globally, but, also in India, especially managing the end stage renal disease (ESRD). Screening for CKD at an early stage, by, high sensitivity C reactive protein (hsCRP) with or without other clinical, biochemical or anthropometric parameters helps initiate specific therapy to reduce the progression of renal disease. Although, malnutrition, inflammation and cardio vascular diseases (CVD) have been shown as significant independent risk factors of mortality in CKD patients, but, whether there exists any relationship between hsCRP and serum proteins and serum albumin levels, one of the important indicators of PEM, has not been extensively studied in pre-dialysis CKD patients.Methods: The study included a total of 60 adult subjects. Of these, 30 were study cases who fulfilled the case definition of CKD and were compared with 30 patients who did not show any signs or symptoms of CKD. As per the objective - hsCRP values were estimated by ELISA test, quantified and statistically correlated with total serum proteins and albumin levels.Results: A significant difference was found in the mean value of hsCRP in cases and in controls (p value 0.001). No significant difference was observed in the mean level of total serum protein in cases and controls, but, the mean differences in the level of serum albumin between cases and controls was significant. The association of serum albumin and hsCRP was found to be significant (p value &lt;0.001). If a level of serum albumin &lt; 3.5 is taken as a marker of malnutrition, it is found that 66.66% of patients have hypo-albuminaemia.Conclusions: The present study comes to an important conclusion that hsCRP is a useful independent predictor of CKD and if correlated with serum albumin levels, it would help clinician manage the patient effectively by initiating an aggressive yet very appropriate therapy at the pre-dialysis stage with the likelihood of an ‘evidence based’ reduction in morbidity and mortality.

MicroRNA 193b-3p as a predictive biomarker of chronic kidney disease in patients undergoing radical nephrectomy for renal cell carcinoma.

Background:A significant proportion of patients undergoing radical nephrectomy (RN) for clear-cell renal cell carcinoma (RCC) develop chronic kidney disease (CKD) within a few years following surgery. Chronic kidney disease has important health, social and economic impact and no predictive biomarkers are currently available. MicroRNAs (miRs) are small non-coding RNAs implicated in several pathological processes.Methods:Primary objective of our study was to define miRs whose deregulation is predictive of CKD in patients treated with RN. Ribonucleic acid from formalin-fixed paraffin embedded renal parenchyma (cortex and medulla isolated separately) situated >3 cm from the matching RCC was tested for miR expression using nCounter NanoString technology in 71 consecutive patients treated with RN for RCC. Validation was performed by RT–PCR and in situ hybridisation. End point was post-RN CKD measured 12 months post-operatively. Multivariable logistic regression and decision curve analysis were used to test the statistical and clinical impact of predictors of CKD.Results:The overexpression of miR-193b-3p was associated with high risk of developing CKD in patients undergoing RN for RCC and emerged as an independent predictor of CKD. The addition of miR-193b-3p to a predictive model based on clinical variables (including sex and estimated glomerular filtration rate) increased the sensitivity of the predictive model from 81 to 88%. In situ hybridisation showed that miR-193b-3p overexpression was associated with tubule-interstitial inflammation and fibrosis in patients with no clinical or biochemical evidence of pre-RN nephropathy.Conclusions:miR-193b-3p might represent a useful biomarker to tailor and implement surveillance strategies for patients at high risk of developing CKD following RN.

Mean Transaortic Gradient is an Emerging Predictor of Chronic Kidney Disease in Elderly Patients.

Arterial hypertension (AH) is a major risk factor for chronic kidney disease (CKD). However, whether AH maintains this role in the development of CKD in elderly patients with aortic stenosis (AS) or whether transaortic gradient influences CKD remains unclear. Consecutive hospitalized patients were prospectively recruited to evaluate the relationship between AS and CKD. In all patients, transthoracic 2-dimensional echocardiography was performed to evaluate AS; renal function was evaluated using the Chronic Kidney Disease Epidemiology Collaboration formula. A total of 346 patients were included in the study (mean age: 79.5 ± 7.4 years): 104 had diabetes mellitus (DM), 298 had AH, and 59 (moderate: 52; severe: 7) showed AS. After multivariate analysis, age ( P <.01), DM ( P = .02), and mean transaortic gradient ( P = .03), but not AH, were independent predictors of CKD. Both in the presence (n = 59) or absence (n = 287) of AS, the estimated glomerular filtration rate did not differ in patients with (51 ± 24 mL/min/1.73 m2 and 59 ± 25 mL/min/1.73 m2, respectively) and those without AH (50 ± 21 mL/min/1.73 m2 and 65 ± 24 mL/min/1.73 m2, respectively). In the whole population, for each mm Hg of mean transaortic gradient, the risk of CKD increased by 2.5 times.

Association of anthropometric measures of obesity and chronic kidney disease in elderly women.

Growing evidence suggests that obesity is an important contributor to the development of chronic kidney disease (CKD). The relationship between obesity and CKD is complex and not completely understood, and the best anthropometric index of obesity in predicting CKD is controversial. This study aimed to determine the best anthropometric index of obesity in predicting CKD in a population of elderly women. Anthropometric indexes of obesity including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WheiR) and waist-to-hip-ratio (WHR), were obtained in 730 selected females. Biochemical measurements including blood glucose, lipid profile, and 2-h postprandial blood glucose were performed. GFR was estimated by using CKD-EPI equation. The prevalence of CKD stage ≥ 3 was 12.2%. Overweight and obesity was found in 50% and 36% of participants, respectively. Increased central fat distribution, as defined by WheiR, WC and WHR, was found in 89.6%, 91.7% and 89.4% individuals, respectively. Univariate linear regression analysis showed positive correlations between CKD and age (p<0.001), BMI (p<0.001), WC (p<0.001), WHR (p=0.007), WheiR (p<0.001), diabetes (p=0.002), as well as triglicerydes (p=0.031), and negative correlation between CKD and HDL level (p=0.017). Multivariable analysis demonstrated that hypertension, diabetes, WC and WheiR were independent predictors of CKD. The area under the receiver operating characteristics curve was best for WheiR (0.647), followed by WC (0.620), BMI (0.616), and WHR (0.532). Abdominal obesity is an important predictor of CKD. Of commonly used anthropometric parameters of obesity WheiR ≥ 0.6 is particularly associated with CKD in elderly females.

Prevalence of Low Glomerular Filtration Rate (Low eGFR), Proteinuria and Associated Risk Factors in a Rural Area of Bangladesh using Cockcroft-Gault and Modification of Diet in Renal Disease Equation: An Observational, Cross-sectional Study

Chronic kidney disease (CKD) has become a global public health concern. The adverse outcomes of CKD are enormous in developing countries due to paucity of facilities for renal replacement therapy and high cost of services for management of ESRD. Chronic kidney disease and its risk factors are common in Bangladesh, however community-based data on the subject is lacking. The purpose of this study to estimate and compare the prevalence of low GFR, proteinuria and associated risk factors using Cockcroft-Gault (CG) and Modification of Diet in Renal Disease (MDRD) equation based on serum creatinine (SCr) in a rural area of Bangladesh. An observational cross-sectional study performed on patients aged 18 years or older living in the rural area of Mymensingh were randomly selected from the database of the health care system and who gave informed consent to participate in the study. Subjects with nonresidents, pregnant, cognitive dysfunction that interfered with understanding and answering the study questionnaire were excluded from the study. The sample size was calculated with a formula for cross-sectional study and to meet the following criteria: a confidence level of 95%, acceptable error 15% and expected prevalence of CKD 15.7%. Therefore a sample size of 920 was considered appropriate for the study. The study was carried out for a period of 16 months between March 2014 and June 2015. Renal impairment was defined as eGFR less than 60 ml/min/1.73 m2. Thus stage 3, 4 and 5 of KDOQI were grouped as renal impairment. Renal function was estimated from serum creatinine using Cockcroft-Gault and MDRD (modification of diet in renal disease) equations. Data are presented as frequencies, percentages or mean ± standard deviation as appropriate. The Chi-square test was used for categorical variables and multivariate analyses was performed by binary logistic regression to identify the risk factors of CKD. All statistical tests were 2-sided. A p value lower than 0.05 was considered to be significant. All statistical analyses were done with SPSS Version 11.5 for Windows. Over half (51.7%) of the patients were male and rest 48.3% female with mean age 42.3 ± 13.2 years. Most (67.3%) of the patients were illiterate and only 22.8% engaged in salaried job. Over two-third (67.4%) of the patients were overweight and obese, 31.2% normal and very few (1.4%) underweight. The prevalence of low eGFR was 15.3% by Cockcroft-Gault and 15.9% by MDRD equation. The survey population had a 17% prevalence of proteinuria. Sex, illiterate, overweight &amp; obese, obese by WC, hypertension, proteinuria, raised serum creatinine, diabetes mellitus, anaemia, family H/O CKD, low HDL cholesterol and raised total cholesterol were found to be the independent predictors of CKD. The prevalence of low eGFR in this rural population is common and an increase prevalence of proteinuria. The association between CKD and risk factors was also highly significant. There is an urgent need for more detailed measurement for these risk factors through a comprehensive survey to evaluate individuals with risk factors, to enable earlier detection and risk factor reduction through rising of awareness.&#x0D; CBMJ 2016 July: Vol. 05 No. 02 P: 04-13

Serum nitric oxide is associated with the risk of chronic kidney disease in women: Tehran lipid and glucose study

Background and aim This study was conducted to investigate the association between serum nitric oxide metabolites (NOx) and the risk of chronic kidney disease (CKD). Methods We recruited 3462 and 2504 participants of the Tehran Lipid and Glucose Study (TLGS), for a cross-sectional and prospective analysis, respectively. Serum NOx concentrations were measured at baseline (2006–2008), and demographics, anthropometrics and biochemical variables were evaluated at baseline and again after 3 years (2009–2011). Estimated glomerular filtration rate (eGFR) and CKD were defined. Association between serum NOx and CKD in the cross-sectional phase and the predictability of NOx in CKD occurrence were assessed using multivariable logistic regression models with adjustment for confounders. Results Mean age of participants was 45.0 ± 15.9 years at baseline and 40.5% were male. The prevalence of CKD was 17.9% (13.4% in men, 21.0% in women) at baseline, at which point, marginally significant odds of CKD in the highest tertile of serum NOx in men (OR = 1.53, 95% CI = 0.96–2.45, p for trend = 0.047) and a significant odds of CKD in women (OR = 2.48, 95% CI = 1.76–3.49, p for trend = 0.001) were observed. After a 3-year follow-up, in women, risk of CKD was higher in the highest compared to the lowest NOx tertiles (OR = 1.86, 95% CI = 1.10–3.14, p for trend = 0.032) but no significant association was observed in men. Conclusion Serum NOx level was found to be an independent predictor of CKD in women; it could be a valuable surrogate for prediction of renal dysfunction in women and help to identify high-risk subjects.

Gender differences in the prognostic impact of chronic kidney disease in patients with left ventricular systolic dysfunction following ST elevation myocardial infarction treated with primary percutaneous coronary intervention

Background/AimRenal function potentially has different prognostic impact in men and women with acute myocardial infarction. The aim of this study was to evaluate the prognostic impact of chronic kidney disease (CKD) on five-year all-cause mortality in men and women with left ventricular systolic dysfunction (LVSD) following ST elevation myocardial infarction (STEMI). MethodWe included 348 consecutive STEMI patients who were treated with primary percutaneous coronary intervention (pPCI) and had a left ventricular ejection fraction < 40%. CKD was defined as baseline creatinine clearance (CrCl) < 60 ml/min. Patients with cardiogenic shock at admission were excluded. ResultsAmong analyzed patients, 104 patients (29.8%) were women, and 244 patients (70.1%) were men. Compared with male patients, female patients were older. Females were more likely to have previous angina and hypertension. CKD was more common in women compared with men (54.8% vs. 22.5%, p<0.001). Female gender and older age were independent predictors of CKD. No significant difference in five-year all-cause mortality was between men and women (27.8% vs. 23.3%, p=0.370). In a Cox regression model (adjustments were made for age, Killip class at admission, post-procedural flow TIMI<3, left main stenosis and women with diabetes), CKD remained an independent predictor of five-year all-cause mortality in men (HR 2.2; 95% CI 1.22–3.3, p=0.007). ConclusionsAlthough pre-terminal CKD was more frequently noted in women, it was an independent predictor of five-year mortality exclusively in men. Different prognostic significance of CKD between sexes indicates that renal function must be considered in the prognosis of men and women following acute myocardial infarction.

Predictors of Chronic Kidney Disease in Hypertensive Patients: A One- Year Prospective Study at Hamad General Hospital, Qatar

Background: Hypertension is a major risk factor of chronic kidney disease. With the rising prevalence of hypertension worldwide, the burden of patients with chronic kidney disease is expected to be higher. Early detection and treatment of hypertensive patients with renal impairment is therefore critically important and would prevent progression of kidney disease. This study aims to identify the predictors of chronic kidney disease (CKD) among patients with diagnosis of essential hypertension. Methods: This prospective, descriptive study, which was conducted at Hamad General Hospital involved patients with a diagnosis of essential hypertension, admitted to the medical ward during the periods from June 2013 till June 2014. Results: A total of 112 patients were enrolled in the study and the prevalence of CKD was 49.1%. Univariate analysis revealed that long standing hypertension (> 5 years), alcohol consumption, history of TIA/stroke, presence of proteinuria, history of CAD, ECG-determined left ventricular hypertrophy (LVH) and hyperlipidemia were probable predictors of CKD. Using multivariable logistic regression analysis we found long standing hypertension (≥ 5 years), presence of proteinuria and ECG-determined LVH to be independent predictors of CKD. Conclusions: CKD was found in 49.1% of our patients. Long standing hypertension, presence of proteinuria and ECG-determined LVH were independent predictors of CKD. We recommend utilizing resources to initiate CKD screening programs to assist in early diagnosis of CKD among hypertensive patients.

High FIB-4 index as an independent risk factor of prevalent chronic kidney disease in patients with nonalcoholic fatty liver disease

Growing evidence suggests that non-alcoholic fatty liver disease (NAFLD) is linked to an increased risk for chronic kidney disease (CKD); liver fibrosis with biopsy-proven NAFLD has also been shown to associate with an increased risk of CKD. This study compares the diagnostic performance of simple noninvasive tests in identifying prevalent CKD among individuals with ultrasonography-diagnosed NAFLD. A total of 755 with ultrasonography-diagnosed NAFLD were included. Estimated glomerular filtration rate and noninvasive markers for hepatic fibrosis: aspartate transaminase to alanine transaminase ratio (AAR), aspartate transaminase to platelet ratio index (APRI), FIB-4 score, NAFLD fibrosis score (NFS) and BARD score were assessed. Binary logistic regression to generate a propensity score and receiver operating characteristic curves were developed for each of the noninvasive markers for predicting CKD, and the area under the receiver operating characteristic curve was greatest for FIB-4 score (0.750), followed by NFS (0.710), AAR (0.594), APRI (0.587), and BARD score (0.561). A cut-off value of 1.100 for FIB-4 score gave a sensitivity of 68.85% and a specificity of 71.07% for predicting CKD. The positive predictive value and negative predictive value were 37.50 and 90.05%, respectively. In multiple logistic regression analysis, only FIB-4 score ≧1.100 (OR 2.660, 95% CI 1.201-5.889; p = .016), older age, higher diastolic blood pressure and higher uric acid were independent predictors of CKD. High noninvasive fibrosis score is associated with an increased risk of prevalent CKD; the FIB-4 is the better predictor. With a cut-off value of 1.100 for FIB-4, it is useful in excluding the presence of CKD in patients with NAFLD.

Prevalence, associated factors and impact on mortality of chronic kidney disease in nursing home residents: A single-center experience.

We carried out the present study to determine the prevalence, associated comorbidities and impact on mortality of chronic kidney disease (CKD) in nursing home residents. This was an 8-year prospective single-center, longitudinal cohort study consisting of 612 patients living in a nursing home from 2005-2013. The glomerular filtration rate (GFR) was estimated from a prediction equation, the Chronic Kidney Disease Epidemiology Collaboration equation, based on the serum creatinine concentration, age, race, sex and body size. The demographic and clinical characteristics of the residents were collected. CKD, defined as abnormalities of kidney structure or function, present for >3 months, with implications for health, was present in 197 (39.9%) residents. Specifically, 109 (21.5%) residents had an estimated GFR of 45-59 mL/min, and 64 (12.6%) had an estimated GFR of 30-44 mL/min. Multivariate logistic regression identified older age (OR 0.97, 95% CI 0.95-0.99), female sex (OR 2.99, 95% CI 1.99-4.49) and hypertension (OR 1.55, 95%, CI 1.00-2.40) as the only independent predictors of CKD. After a follow up of 8 years, 208 (41.1%) of the 506 residents died. Of these residents, 104 (52.8%) had CKD and 104 (33.4%) did not have CKD. The Kaplan-Meier survival curves showed that residents with CKD had a significantly higher mortality than those without CKD. CKD is prevalent in nursing home residents. A decline in renal function is associated with cardiovascular disease and mortality. Early recognition of CKD might improve drug dosage, renal management and outcomes in this particular group of patients.