scholarly journals Chronic kidney disease in children

2019 ◽  
Vol 23 (5) ◽  
pp. 29-46
Author(s):  
A. A. Vyalkova ◽  
I. V. Zorin ◽  
S. A. Chesnokova ◽  
S. V. Plotnikova
Keyword(s):  
Risk Factors ◽  
Chronic Kidney Disease ◽  
High Risk ◽  
Kidney Disease ◽  
Early Diagnosis ◽  
Children At Risk ◽  
Regional Factors ◽  
Scientific Results ◽  
Selection Of

The goal is to discuss the criteria for the early diagnosis of chronic kidney disease (CKD) in children. The article presents data from modern literature on the epidemiology, classification, and criteria for the diagnosis of CKD, own scientific results on clinical and paraclinical characteristics of CKD and regional characteristics of CKD in children of the Orenburg region. Modern approaches to the early diagnosis of CKD in children, the identification of risk factors for the progression of nephropathy and the algorithm for the diagnosis of CKD in childhood, taking into account unfavorable regional factors, are scientifically substantiated. A set of measures for the prevention of nephropathy and a scheme of follow-up observation of children at high risk has been developed. The ways to improve the children's nephrology service are substantiated. Modern pathogenetic approaches to the diagnosis of CKD in children are presented. An algorithm for diagnosing the initial stages of CKD in children at risk for CKD and children with renal pathology without CKD with a preliminary selection of anamnestic and clinical and paraclinical indicators is proposed.

scholarly journals Identifying High-Risk Individuals for Chronic Kidney Disease: Results of the CHERISH Community Demonstration Project

2018 ◽  
Vol 48 (6) ◽  
pp. 447-455 ◽  
Author(s):  
Nilka Ríos Burrows ◽  
Joseph A. Vassalotti ◽  
Sharon H. Saydah ◽  
Rebecca Stewart ◽  
Monica Gannon ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Chronic Kidney Disease ◽  
High Risk ◽  
Kidney Disease ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Demonstration Project ◽  
Screening Criteria ◽  
State And Local

Background: Most people with chronic kidney disease (CKD) are not aware of their condition. Objectives: To assess screening criteria in identifying a population with or at high risk for CKD and to determine their level of control of CKD risk factors. Method: CKD Health Evaluation Risk Information Sharing (CHERISH), a demonstration project of the Centers for Disease Control and Prevention, hosted screenings at 2 community locations in each of 4 states. People with diabetes, hypertension, or aged ≥50 years were eligible to participate. In addition to CKD, screening included testing and measures of hemoglobin A1C, blood pressure, and lipids. ­Results: In this targeted population, among 894 people screened, CKD prevalence was 34%. Of participants with diabetes, 61% had A1C < 7%; of those with hypertension, 23% had blood pressure < 130/80 mm Hg; and of those with high cholesterol, 22% had low-density lipoprotein < 100 mg/dL. Conclusions: Using targeted selection criteria and simple clinical measures, CHERISH successfully identified a population with a high CKD prevalence and with poor control of CKD risk factors. CHERISH may prove helpful to state and local programs in implementing CKD detection programs in their communities.

scholarly journals Incidence of Chronic Kidney Disease and Its Risk Factors, Results of Over 10 Year Follow Up in an Iranian Cohort

PLoS ONE ◽  
2012 ◽  
Vol 7 (9) ◽  
pp. e45304 ◽  
Author(s):  
Maryam Tohidi ◽  
Mitra Hasheminia ◽  
Reza Mohebi ◽  
Davood Khalili ◽  
Farhad Hosseinpanah ◽  
...  
Keyword(s):  
Risk Factors ◽  
Chronic Kidney Disease ◽  
Kidney Disease

scholarly journals The first consecutive 5000 patients with Coronavirus Disease 2019 from Qatar; a nation-wide cohort study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Ali S. Omrani ◽  
Muna A. Almaslamani ◽  
Joanne Daghfal ◽  
Rand A. Alattar ◽  
Mohamed Elgara ◽  
...  
Keyword(s):  
Risk Factors ◽  
Chronic Kidney Disease ◽  
Cohort Study ◽  
Kidney Disease ◽  
Older Age ◽  
Icu Admission ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Male Sex

Abstract Background There are limited data on Coronavirus Disease 2019 (COVID-19) outcomes at a national level, and none after 60 days of follow up. The aim of this study was to describe national, 60-day all-cause mortality associated with COVID-19, and to identify risk factors associated with admission to an intensive care unit (ICU). Methods This was a retrospective cohort study including the first consecutive 5000 patients with COVID-19 in Qatar who completed 60 days of follow up by June 17, 2020. The primary outcome was all-cause mortality at 60 days after COVID-19 diagnosis. In addition, we explored risk factors for admission to ICU. Results Included patients were diagnosed with COVID-19 between February 28 and April 17, 2020. The majority (4436, 88.7%) were males and the median age was 35 years [interquartile range (IQR) 28–43]. By 60 days after COVID-19 diagnosis, 14 patients (0.28%) had died, 10 (0.2%) were still in hospital, and two (0.04%) were still in ICU. Fatal COVID-19 cases had a median age of 59.5 years (IQR 55.8–68), and were mostly males (13, 92.9%). All included pregnant women (26, 0.5%), children (131, 2.6%), and healthcare workers (135, 2.7%) were alive and not hospitalized at the end of follow up. A total of 1424 patients (28.5%) required hospitalization, out of which 108 (7.6%) were admitted to ICU. Most frequent co-morbidities in hospitalized adults were diabetes (23.2%), and hypertension (20.7%). Multivariable logistic regression showed that older age [adjusted odds ratio (aOR) 1.041, 95% confidence interval (CI) 1.022–1.061 per year increase; P < 0.001], male sex (aOR 4.375, 95% CI 1.964–9.744; P < 0.001), diabetes (aOR 1.698, 95% CI 1.050–2.746; P 0.031), chronic kidney disease (aOR 3.590, 95% CI 1.596–8.079, P 0.002), and higher BMI (aOR 1.067, 95% CI 1.027–1.108 per unit increase; P 0.001), were all independently associated with increased risk of ICU admission. Conclusions In a relatively younger national cohort with a low co-morbidity burden, COVID-19 was associated with low all-cause mortality. Independent risk factors for ICU admission included older age, male sex, higher BMI, and co-existing diabetes or chronic kidney disease.

scholarly journals Clustering Heatmap for Visualizing and Exploring Complex and High-dimensional Data Related to Chronic Kidney Disease

2020 ◽  
Vol 9 (2) ◽  
pp. 403 ◽  
Author(s):  
Cheng-Sheng Yu ◽  
Chang-Hsien Lin ◽  
Yu-Jiun Lin ◽  
Shiyng-Yu Lin ◽  
Sen-Te Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Chronic Kidney Disease ◽  
High Risk ◽  
Kidney Disease ◽  
Complex Disease ◽  
Early Recognition ◽  
Adverse Outcomes ◽  
Rapid Decline ◽  
Rapid Progression

Background: Preventive medicine and primary health care are essential for patients with chronic kidney disease (CKD) because the symptoms of CKD may not appear until the renal function is severely compromised. Early identification of the risk factors of CKD is critical for preventing kidney damage and adverse outcomes. Early recognition of rapid progression to advanced CKD in certain high-risk populations is vital. Methods: This is a retrospective cohort study, the population screened and the site where the study has been performed. Multivariate statistical analysis was used to assess the prediction of CKD as many potential risk factors are involved. The clustering heatmap and random forest provides an interactive visualization for the classification of patients with different CKD stages. Results: uric acid, blood urea nitrogen, waist circumference, serum glutamic oxaloacetic transaminase, and hemoglobin A1c (HbA1c) were significantly associated with CKD. CKD was highly associated with obesity, hyperglycemia, and liver function. Hypertension and HbA1c were in the same cluster with a similar pattern, whereas high-density lipoprotein cholesterol had an opposite pattern, which was also verified using heatmap. Early staged CKD patients who are grouped into the same cluster as advanced staged CKD patients could be at high risk for rapid decline of kidney function and should be closely monitored. Conclusions: The clustering heatmap provided a new predictive model of health care management for patients at high risk of rapid CKD progression. This model could help physicians make an accurate diagnosis of this progressive and complex disease.

scholarly journals THE PREDICTING FACTORS FOR CHRONIC KIDNEY DISEASE AMONG HIGH-RISK POPULATION IN LOWER NORTHERN, THAILAND

2020 ◽  
Vol 20 (2) ◽  
pp. 268-275
Author(s):  
Primprapha Konkaew ◽  
Pattama Suphunnakul
Keyword(s):  
Risk Factors ◽  
Chronic Kidney Disease ◽  
Health Literacy ◽  
High Risk ◽  
Kidney Disease ◽  
Sampling Technique ◽  
High Risk Population ◽  
Cross Sectional ◽  
Risk Population ◽  
High Risk Populations

This research aimed to explore the factors predicting chronic kidney disease (CKD) in the high-risk population. A cross-sectional study had been conducted in the high-risk populations investigated with and without CKD were the participants. A total of 1,463 samples was enrolled by a multistage sampling technique was used to recruit participants from five provinces in the lower northern of Thailand. Data were collected using a questionnaire and analyzed with descriptive statistics, and binary logistic regression. The results were revealed the risk factors affecting CKD including aged, dyslipidemia, being ill of diabetes mellitus, being unable to control blood pressure, being unable to control blood sugar level, taking add more salty seasoning to the cooked food, cooking with sodium salt over the prescribed amount, using the non-steroidal anti-inflammatory drug, lack of exercise, herbal plants consumption as drugs that are toxic to the kidney, edema, foamy urine, and nocturia. All risk factors were able to co-predict the risk to CKD about 83.2% at the 0.05 level of significance. Therefore, to prevent early states with CKD in the high-risk populations, the focus should be on encouraging health literacy because health literary it has a positive relationship with health-promoting behaviors. The health care provider needs to concentrate on increasing health literacy for self– management with them.

scholarly journals Determinants and Incidence of Chronic Kidney Disease on Tenofovir-Based Antiretroviral Therapy Regimens: A Cohort Study in HIV-Infected Adults in South China

2021 ◽  
Author(s):  
Fang Liu ◽  
Hong Liu ◽  
Chen Chen ◽  
Liang-bin Miao ◽  
Zhao-yi Li ◽  
...  
Keyword(s):  
Risk Factors ◽  
Chronic Kidney Disease ◽  
Viral Load ◽  
Kidney Disease ◽  
Renal Dysfunction ◽  
Multiple Imputation ◽  
Estimating Equation ◽  
Chinese Cohort ◽  
Hiv 1

Abstract Background: To evaluate the incidence and risk factors of stage 3 chronic kidney disease (CKD) and rapid kidney function decline (RKFD) among Chinese HIV-1 infected patients starting with tenofovir (TDF)-based regimen.Methods: We enrolled in 797 TDF-initiated HIV-1-infected patients in a Chinese cohort. Kidney dysfunction were defined as stage 3 CKD (eGFR < 60 mL/min/1.73 m2 during follow-up) and RKFD (eGFR decline > 10 mL/min/1.73 m2/year). A linear mixed-effects model was used to quantify the average eGFR change per 48 weeks. A generalized estimating equation regression analysis was conducted to determine the risk factors associated with renal dysfunction. The method of multiple imputation was used to reduce bias caused by missing data.Results: In this retrospective study, 14 (2%) patients experienced stage 3 CKD, and 272 (34%) individuals experienced RKFD during a median of 26 (IQR, 4-78; maximum 325) weeks follow-up period. The mean loss in eGFR per 48 weeks increased consistently over time, from -2.59 mL/min/1.73 m2 before 48 weeks to -17.61 mL/min/1.73 m2 after 288 weeks. For every 10 mL/min/1.73 m2 increase of eGFR, the risk of RKFD increased by 29% (95%CI: 18%, 40%). Each 10 years older and every 10 mL/min/1.73 m2 higher in baseline eGFR, the risk of stage 3 CKD increased to 1.56 (95% CI: 1.00, 2.43) and decreased by 65% (95% CI: 48%, 76%), respectively. Anemia and higher viral load were significantly associated with RKFD. The results were robust across a range of multiple imputation analysis.Conclusions: TDF-associated CKD is rare in HIV-1 infected Chinese adults. Longer TDF-exposed patients are more likely to have renal dysfunction, especially those with older age, anemia, lower baseline eGFR and higher viral load.

scholarly journals Scoring model to predict risk of chronic kidney disease in Chinese health screening examinees with type 2 diabetes

2021 ◽  
Author(s):  
Xia Cao ◽  
Binfang Yang ◽  
Jiansong Zhou
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Prediction Model ◽  
Scoring System ◽  
Health Screening ◽  
Validation Set

Abstract Purpose As health screening continues to increase in China, there is an opportunity to integrate a large number of demographic as well as subjective and objective clinical data into risk prediction modeling. The aim of this study was to develop and validate a prediction model for chronic kidney disease (CKD) in Chinese health screening examinees with type 2 diabetes mellitus (T2DM). Methods We conducted a retrospective cohort study consisting of 2051 Chinese T2DM patients between 35 and 78 years old who were enrolled in the XY3CKD Follow-up Program between 2009 and 2010. All participants were randomly assigned into a derivation set or a validation set at a 2:1 ratio. Cox proportional hazards regression model was selected for the analysis of risk factors for the development of the proposed risk model of CKD. We established a prediction model with a scoring system following the steps proposed by the Framingham Heart Study. Results The mean follow-up was 8.52 years, with a total of 315 (23.20%) and 189 (27.27%) incident CKD cases in the derivation set and validation set, respectively. We identified the following risk factors: age, gender, body mass index, duration of type 2 diabetes, variation of fasting blood glucose, stroke, and hypertension. The points were summed to obtain individual scores (from 0 to 15). The areas under the curve of 3-, 5- and 10-year CKD risks were 0.843, 0.799 and 0.780 in the derivation set and 0.871, 0.803 and 0.785 in the validation set, respectively. Conclusions The proposed scoring system is a promising tool for further application of assisting Chinese medical staff for early prevention of T2DM complications among health screening examinees.

scholarly journals The burden of unrecognised chronic kidney disease in patients with type 2 diabetes at a county hospital clinic in Kenya: implications to care and need for screening.

2019 ◽  
Author(s):  
Frederick C. F. Otieno ◽  
Elijah N Ogola ◽  
Mercy W Kimando ◽  
Ken K Mutai
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Chronic Kidney Disease ◽  
High Risk ◽  
Kidney Disease ◽  
County Hospital ◽  
End Stage Kidney Disease ◽  
Long Duration ◽  
End Stage

Abstract Background: Chronic Kidney Disease (CKD) in patients with type 2 diabetes enhances the cardiovascular risk profiles and disease, and is a strong predictor of progression to end-stage kidney disease. Early diagnosis is encouraged for referral to specialist kidney care to initiate active management that would optimize outcomes including forestalling progression to end-stage kidney disease. This study was conducted in a regional referral public health facility in Central Kenya with a high prevalence of type 2 diabetes. It was aimed at finding out the burden of undiagnosed chronic kidney disease in their clinic of ambulatory patients with type 2 diabetes who dwell mainly in the rural area. Methods: A cross-sectional study was conducted at the out-patient of Nyeri County hospital. A total of 385 patients were enrolled over five months. Informed consent was obtained and clinical evaluation was done, a spot sample of urine obtained for albuminuria and venous blood drawn for HbA1c, Lipids and serum creatinine. Estimated GFR (eGFR) was calculated using the Cockroft-Gault equation. Chronic kidney disease (CKD) was classified on KDIGO scale. Albuminuria was reported as either positive or negative. Main outcomes measure: Estimated Glomerular filtration rate and albuminuria as markers of chronic kidney disease. Results: A total of 385 participants were included in the study, 252 (65.5%) were females. There were 39.0 % (95%CI 34.3-44.2) patients in CKD/KDIGO stages 3, 4 and 5 and 32.7% (95%CI, 27.8-37.4) had Albuminuria. The risk factors that were significantly associated with chronic kidney disease/KDIGO stages 3, 4 and 5 were: age >50years, long duration with diabetes >5years and hypertension. Employment and paradoxically, obesity reduced the odds of having CKD, probably as markers of better socio-economic status. Conclusion: Unrecognized CKD of KDIGO stages 3,4 and 5 occurred in over thirty percent of the study patients. The risk factors of hypertension, age above 50, long duration of diabetes should help identify those at high risk of developing CKD, for screening and linkage to care. They are at high risk of progression to end-stage kidney disease and cardiovascular events. The imperative of screening for chronic kidney disease is availing care in publicly-funded hospitals.

scholarly journals The burden of unrecognised chronic kidney disease in patients with type 2 diabetes at a county hospital clinic in Kenya: implications to care and need for screening

2020 ◽  
Author(s):  
Frederick C. F. Otieno ◽  
Elijah N Ogola ◽  
Mercy W Kimando ◽  
Ken K Mutai
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Chronic Kidney Disease ◽  
High Risk ◽  
Kidney Disease ◽  
County Hospital ◽  
End Stage Kidney Disease ◽  
Long Duration ◽  
End Stage

Abstract Background : Chronic Kidney Disease (CKD) in patients with type 2 diabetes enhances their cardiovascular risk and diseases, and a strong predictor of progression to end-stage kidney disease. Early diagnosis is encouraged for referral to specialist kidney care to initiate active management that optimizes outcomes, including forestalling progression to end-stage kidney disease. This study was conducted in a regional referral public health facility in Central Kenya with a high prevalence of type 2 diabetes. It was aimed at finding out the burden of undiagnosed chronic kidney disease in their clinic of ambulatory patients with type 2 diabetes who dwell mainly in the rural area. Methods : A cross-sectional study was conducted at the out-patient of Nyeri County hospital where 385 patients were enrolled over five months. Informed consent was obtained and clinical evaluation was done. A spot sample of urine was obtained for albuminuria and venous blood drawn for HbA1c, Lipids and serum creatinine. Estimated GFR (eGFR) was calculated using the Cockroft-Gault equation. Chronic kidney disease (CKD) was classified on KDIGO scale. Albuminuria was reported as either positive or negative. Main outcomes measure: Estimated Glomerular filtration rate and albuminuria as markers of chronic kidney disease. Results : A total of 385 participants were included in the study, 252 (65.5%) were females. There were 39.0 % (95%CI 34.3-44.2) patients in CKD/KDIGO stages 3, 4 and 5 and 32.7% (95%CI, 27.8-37.4) had Albuminuria. The risk factors that were significantly associated with chronic kidney disease/KDIGO stages 3, 4 and 5 were: age >50years, long duration with diabetes >5years and hypertension. Employment and paradoxically, obesity reduced the odds of having CKD, probably as markers of better socio-economic status. Conclusion : Unrecognized CKD of KDIGO stages 3,4 and 5 occurred in over thirty percent of the study patients. The risk factors of hypertension, age above 50, long duration of diabetes should help identify those at high risk of developing CKD, for screening and linkage to care. They are at high risk of progression to end-stage kidney disease and cardiovascular events. The imperative of screening for chronic kidney disease is availing care in publicly-funded hospitals.

scholarly journals Community Pharmacy-Based eGFR Screening for Early Detection of CKD in High Risk Patients

2020 ◽  
Vol 7 ◽  
pp. 205435812092261
Author(s):  
John Papastergiou ◽  
Michelle Donnelly ◽  
Wilson Li ◽  
Robert D. Sindelar ◽  
Bart van den Bemt
Keyword(s):  
Chronic Kidney Disease ◽  
Renal Function ◽  
High Risk ◽  
Kidney Disease ◽  
Early Detection ◽  
Point Of Care ◽  
Screening System ◽  
High Risk Patients ◽  
Risk Patients

Background: Chronic kidney disease (CKD) is a condition presenting with long-term slow progression of structural and/or functional damage to the kidneys. Early detection is key to preventing complications and improving outcomes. Point-of-care estimated glomerular filtration rate (eGFR) screening technology allows for detection of abnormal kidney function in the community pharmacy setting. Objective: To evaluate the effectiveness of a community pharmacist-directed point-of-care screening program and to identify the prevalence of CKD in high-risk patients. Design: Quantitative observational. Setting: Four community pharmacies in British Columbia over a 6-month period. Patients: In all, 642 participants with at least one CKD risk factor were identified and screened. Mean age was 60 years and females accounted for 55% of the study population. Measurements: Serum creatinine was measured from peripheral blood using the HeathTab® screening system (Piccolo® Renal Function Panel with the Piccolo® blood chemistry analyzer). eGFR was calculated according to the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formula. Methods: Patients provided a sample of peripheral blood via a self-administered finger-prick and analytical data to assess kidney function was reported including blood urea nitrogen (BUN), serum creatinine, and electrolytes by the HealthTab® screening system. Once results were available, the pharmacist conducted a comprehensive medication review with the patient and recommended certain follow-up actions if appropriate. Results: CKD risk factor included diabetes (30%), hypertension (45%), cardiovascular disease (12%), family history of kidney disease (13%), age over 55 years (68%), and an Aboriginal, Asian, South Asian, or African ethnic background (82%). A total of 11.5% of patients had eGFR values lower than 60 mL/min (abnormal renal function) and 34% had an eGFR between 60 and 89 mL/min (minimally reduced renal function). Overall pharmacists’ actions included blood pressure check (98%), education on CKD and risk factors (89%), medication review (72%), and physician follow-up (38%). Limitations included lack of follow-up beyond the 3-month study period prevented medical confirmation of CKD and limited the ability to quantify the impact of pharmacist interventions on the clinical outcomes of patients with low eGFR. Conclusion: These results illustrate the prevalence of abnormal renal function among undiagnosed, high-risk patients in the community. Pharmacists, as the most accessible healthcare practitioners, are ideally positioned to utilize novel point-of care technologies to improve access to CKD screening, facilitate follow-up, and increase awareness around the importance of early detection.

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