CKD Prevalence Among Patients With and Without Type 2 Diabetes: Regional Differences in the United States

Branched-chain amino acid levels are inversely associated with incident and prevalent chronic kidney disease in people with type 2 diabetes

AIM

To investigate the association of plasma metabolites with incident and prevalent chronic kidney disease (CKD) in people with type 2 diabetes and establish whether this association is causal.

MATERIALS AND METHODS

The Hoorn Diabetes Care System cohort is a large prospective cohort consisting of individuals with type 2 diabetes from the northwest part of the Netherlands. In this cohort we assessed the association of baseline plasma levels of 172 metabolites with incident (Ntotal = 462/Ncase = 81) and prevalent (Ntotal = 1247/Ncase = 120) CKD using logistic regression. Additionally, replication in the UK Biobank, body mass index (BMI) mediation and causality of the association with Mendelian randomization was performed.

RESULTS

Elevated levels of total and individual branched-chain amino acids (BCAAs)-valine, leucine and isoleucine-were associated with an increased risk of incident CKD, but with reduced odds of prevalent CKD, where BMI was identified as an effect modifier. The observed inverse effects were replicated in the UK Biobank. Mendelian randomization analysis did not provide evidence for a causal relationship between BCAAs and prevalent CKD.

CONCLUSIONS

Our study shows the intricate relationship between plasma BCAA levels and CKD in individuals with type 2 diabetes. While an association exists, its manifestation varies based on disease status and BMI, with no definitive evidence supporting a causal link between BCAAs and prevalent CKD.

The case for a ketogenic diet in the management of kidney disease

Ketogenic diets have been widely used for weight loss and are increasingly used in the management of type 2 diabetes. Despite evidence that ketones have multiple positive effects on kidney function, common misconceptions about ketogenic diets, such as high protein content and acid load, have prevented their widespread use in individuals with impaired kidney function. Clinical trial evidence focusing on major adverse kidney events is sparse. The aim of this review is to explore the effects of a ketogenic diet, with an emphasis on the pleiotropic actions of ketones, on kidney health. Given the minimal concerns in relation to the potential renoprotective effects of a ketogenic diet, future studies should evaluate the safety and efficacy of ketogenic interventions in kidney disease.

Risk prediction of the progression of chronic kidney disease stage 1 based on peripheral blood samples: construction and internal validation of a nomogram

Patients with chronic kidney disease (CKD) have high morbidity and mortality, and the disease progression has a significant impact on their survival and living standards. This research aims to analyze risk factors for CKD stage 1 and provide a reference for clinical decision making. The clinical data and peripheral blood samples of 300 patients with CKD stage 1 were collected retrospectively. Patients were randomly assigned into a training set (n = 210) and a validation set (n = 90). Patients' baseline characteristic levels were subjected to statistical tests for difference. Univariate and multivariate Cox regression analyses were utilized to identify risk factors influencing disease progression. Subsequently, a prediction model for disease progression was developed using a nomogram, and the model's accuracy was assessed using the C-index and calibration curve. The results revealed that hypertension, diabetes, and urinary albumin were essential factors in the progression of CKD stage 1. The nomogram was constructed and then the C-index was calculated. The calibration curve was utilized to assess the risk model. The C-index of the training set was 0.75, and the C-index of the validation set was 0.73, suggesting a good predictive ability of the model. The risk model accurately predicted the progression of CKD stage 1, which is of great significance to developing personalized treatment for patients in clinical practice.

Differences in prevalence and management of chronic kidney disease among T2DM inpatients at the grassroots in Beijing and Taiyuan: a retrospective study

PURPOSE

Chronic kidney disease (CKD) has been one of the most common complications in type 2 diabetes mellitus (T2DM) patients. This retrospective study aimed to investigate the regional differences in the prevalence and management of CKD in T2DM inpatients from two grassroots hospitals in Beijing and Taiyuan.

METHODS

The sociodemographic status, health history, lifestyle information, biochemical parameters and drug choices of the patients were collected from the Diabetes Care Information System using a retrospective cross-sectional analysis. The presence of CKD was defined as albuminuria (urine albumin-to-creatinine ratio of ≥ 30 mg/g) and/or as a reduced estimated glomerular filtration rate (< 60 ml/min/1.73 m²).

RESULTS

858 patients with T2DM in Beijing and 1,085 patients with T2DM in Taiyuan were included, with a median age of 61.0 and 61.9 years, respectively. The duration of diabetes was 10.5 and 10.3 years, respectively. The prevalence of CKD in Beijing (39.2%) was significantly higher than in Taiyuan (22.4%). The overall ABC control (A = haemoglobin A_1c; B = blood pressure; C = cholesterol) in both the Beijing and Taiyuan groups were not ideal. Patients with CKD tended to use insulin, renin-angiotensin-aldosterone system (RAAS) inhibitors, sodium-glucose cotransporter-2 inhibitors (SGLT-2i) and dyslipidaemia therapy in Taiyuan than in Beijing. The actual proportion of carbohydrate, fat and protein in calories was 49.6%:35.4%:14.4% in Beijing and 61.5%:27.8%:10.8% in Taiyuan.

CONCLUSIONS

The higher prescription rates of RAAS inhibitors, SGLT-2i and dyslipidaemia therapy may underlie the fluctuations in the prevalence of CKD in Beijing or Taiyuan. Intensive insulin therapy and personal nutritional guidance, along with the extensive use of RAAS inhibitors, SGLT-2i and dyslipidaemia therapy during follow-up, can all play a positive role in the management of CKD in patients with T2DM in both Beijing and Taiyuan.

Chronic kidney disease prevalence and awareness in middle age and young old: Regional comparative study in Japan

AIM

Patients with chronic kidney disease are not aware of the illness because of its asymptomatic nature, but the association of disease progression and awareness in general population has not been sufficiently analysed on a large scale.

METHODS

We analysed the nationwide annual specific health checkup covering more than a half of the overall population at aged 40-74 in Japan, approximately 29.4 million people as of 2018, in combination with parameters to represent regional characteristics.

RESULTS

The rate of the examinees with kidney dysfunction, an estimated glomerular filtration rate of <45 mL/min/1.73 m² , was 1.0%, while that of examinees with of dipstick proteinuria ≥ (+) was 3.7%. Next, we conducted a regional comparative study on 335 medical administrative areas divided in the country. The regional rate of examinees aged 65-74 over the total examinees was positively correlated with the prevalence of kidney dysfunction (r = 0.72, p < .0001). Additionally, the mean rate of examinees aware of their 'chronic kidney failure' was 0.6%, and the awareness rate was correlated with the prevalence of both kidney dysfunction (r = 0.36, p < .001) and positive dipstick proteinuria (r = 0.31, p < .001) in those aged 65-74 at the regional level. Association of nephrology care resources with the prevalence or awareness was unclear at the regional level.

CONCLUSION

We found a regional association of chronic kidney disease prevalence and awareness in a recent young old population in Japan. Further studies are needed to evaluate the patient screen and referral at the individual level.

The association between fasting plasma glucose variability and incident eGFR decline: evidence from two cohort studies

BACKGROUND

Glycemic variability (GV) is developing as a marker of glycemic control, which can be utilized as a promising predictor of complications. To determine whether long-term GV is associated with incident eGFR decline in two cohorts of Tehran Lipid and Glucose Study (TLGS) and Multi-Ethnic Study of Atherosclerosis (MESA) during a median follow-up of 12.2 years.

METHODS

Study participants included 4422 Iranian adults (including 528 patients with T2D) aged ≥ 20 years from TLGS and 4290 American adults (including 521 patients with T2D) aged ≥ 45 years from MESA. The Multivariate Cox proportional hazard models were used to assess the risk of incident eGFR decline for each of the fasting plasma glucose (FPG) variability measures including standard deviation (SD), coefficient of variation (CV), average real variability (ARV), and variability independent of the mean (VIM) both as continuous and categorical variables. The time of start for eGFR decline and FPG variability assessment was the same, but the event cases were excluded during the exposure period.

RESULTS

In TLGS participants without T2D, for each unit change in FPG variability measures, the hazards (HRs) and 95% confidence intervals (CI) for eGFR decline ≥ 40% of SD, CV, and VIM were 1.07(1.01-1.13), 1.06(1.01-1.11), and 1.07(1.01-1.13), respectively. Moreover, the third tertile of FPG-SD and FPG-VIM parameters was significantly associated with a 60 and 69% higher risk for eGFR decline ≥ 40%, respectively. In MESA participants with T2D, each unit change in FPG variability measures was significantly associated with a higher risk for eGFR decline ≥ 40%.Regarding eGFR decline ≥ 30% as the outcome, in the TLGS, regardless of diabetes status, no association was shown between FPG variability measures and risk of eGFR decline in any of the models; however, in the MESA the results were in line with those of GFR decline ≥ 40%.Using pooled data from the two cohorts we found that generally FPG variability were associated with higher risk of eGFR decline ≥ 40% only among non-T2D individuals.

CONCLUSIONS

Higher FPG variability was associated with an increased risk of eGFR decline in the diabetic American population; however, this unfavorable impact was found only among the non-diabetic Iranian population.