Purpose: To evaluate the influence of proteinuria on renal Doppler sonographic (US) measurements in patients with chronic kidney disease (CKD) with or without diabetes mellitus (DM).

Methods: Renal resistance index (RI), pulsatility index (PI), and maximum kidney length were measured by US in 113 patients suffering from CKD without DM (non-DM CKD patients) and in 120 patients with diabetic nephropathy (DM patients). Other data collected were sex, age, body mass index, blood pressure, estimated glomerular filtration rate, urinary protein level, and medical history. The effect of proteinuria on RI and PI was evaluated using single regression analyses, multiple regression analyses, and comparison of regression lines.

Results: Single and multiple regression analyses revealed that RI and PI in the two subgroups and in the entire group of patients were correlated with urinary protein level (p < 0.05). Comparison of regression lines of each subgroup showed statistically significant differences in two regression intercepts concerning these indices in relation to urinary protein level (p < 0.001, RI: 0.71 in non-DM CKD patients versus 0.76 in DM patients, PI: 1.39 in non-DM CKD patients versus 1.60 in DM patients) (p < 0.001).

Conclusions: Renal RI and PI can reflect damages related to proteinuria and DM.

Download full-text PDF

Source
http://dx.doi.org/10.1002/jcu.20822DOI Listing

Publication Analysis

Top Keywords

non-dm ckd
12
ckd patients
12
urinary protein
12
protein level
12
regression analyses
12
patients
10
influence proteinuria
8
proteinuria renal
8
renal doppler
8
doppler sonographic
8

Similar Publications

Validating psychometric properties of generic quality-of-life instruments (WHOQOL-BREF (TW) and EQ-5D) among non-dialysis chronic kidney disease: Rasch and confirmatory factor analyses.

J Formos Med Assoc

January 2025

Division of Nephrology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng-Kung University, Tainan, Taiwan; Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan. Electronic address:

Background: Quality of life (QOL) is important for evaluating medical care outcomes. In chronic kidney disease (CKD) population, generic instruments, such as WHOQOL-BREF and EQ-5D, are commonly used for comparing various medical conditions for policy-making purposes. However, their psychometric properties have not yet been validated in non-dialysis CKD population.

View Article and Find Full Text PDF
Article Synopsis
  • The study examines the outcomes of patients with left ventricular (LV) systolic dysfunction who underwent successful PCI for chronic total occlusion (CTO), focusing on those with and without diabetes mellitus (DM) over two years.
  • Among 185 patients, 53.5% had DM, which was linked to worse kidney function, more complex heart disease, and significantly higher rates of major adverse cardiovascular events (MACEs) and mortality.
  • Despite the increased risks associated with DM, multivariable analysis indicated that DM itself was not a strong independent predictor of MACEs, while factors like multi-vessel disease and chronic kidney disease were significant predictors of adverse outcomes.
View Article and Find Full Text PDF
Article Synopsis
  • The PROGRESER study is a 3-year, multicenter observational study in Spain aiming to identify risk factors for the progression of stage 3 chronic kidney disease (CKD), specifically comparing patients with and without diabetes mellitus.
  • A total of 462 patients (average age 66.5) were monitored biannually for clinical data, with biological samples collected for analysis.
  • Results showed that approximately two-thirds of patients experienced renal damage progression, with similar rates in diabetic (67.3%) and non-diabetic (65.3%) patients, suggesting that diabetes did not significantly increase the risk of CKD progression compared to other factors like hypertension.
View Article and Find Full Text PDF

. Chronic kidney disease (CKD) and diabetes mellitus (DM) contribute significantly to cardiovascular disease (CVD) and mortality, with prevalence increasing. The evolving demographic of myocardial infarction (MI) patients, influenced by sedentary lifestyles and advanced medical care, lacks understanding regarding the interplay of CKD, DM, age, and post-MI mortality.

View Article and Find Full Text PDF

Background: Age is a significant risk factor of diabetes mellitus (DM). With the develop of population aging, the incidence of DM remains increasing. Understanding the epidemiology of DM among elderly individuals in a certain area contributes to the DM interventions for the local elderly individuals with high risk of DM.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!