Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
October 26, 2023PLoS ONEOpen Access

Para-perirenal fat thickness outperforms other obesity indicators for predicting CKD in T2DM.

View Full Paper
Ask AI
Bookmark
Share

Why the study?

The relationship between estimated glomerular filtration rate and para-perirenal fat thickness compared with other indices of adiposity in type 2 diabetes mellitus required investigation.

Population

337 patients with T2DM

Comparison

Para-perirenal fat thickness vs other obesity-related indicators

Design

Single-center, retrospective and cross-sectional study

Key result

Para-perirenal fat thickness was the strongest predictor of chronic kidney disease among obesity-related indicators in patients with type 2 diabetes mellitus (AUC 0.686).

Authors

SXSunan XuJMJunqing MaYZYongze Zheng

Discussion

Loading...

Member takes

Overview

Para-perirenal fat thickness may refine CKD risk assessment in T2DM; leaves open prospective validation and incremental value over standard markers.

Study Design

Type

Cross-Sectional (n=337)

Multicenter

No

Structured PICO

P
Population
337 patients with type 2 diabetes mellitus evaluated in a single-center retrospective cross-sectional study to assess the relationship between para-perirenal fat thickness and estimated glomerular filtration rate.
O
Outcome
Correlation between estimated glomerular filtration rate (eGFR) and para-perirenal fat thickness (PRFT) in comparison with other indices of adipositysurrogate

Main Result

Effect estimate: AUC 0.686 (95% CI 0.582-0.791)

p-value: p=0.001

Para-perirenal fat thickness is a stronger predictor of reduced eGFR and chronic kidney disease than other traditional obesity-related indicators in patients with type 2 diabetes.

Limitations

  • Retrospective nature with potential for selection bias
  • Cross-sectional design cannot establish a causal relationship between PRFT and eGFR
  • Used estimated GFR calculated by the EPI formula rather than measured GFR
  • Did not account for dietary, lifestyle, or biochemistry indicators that affect eGFR
  • Single-center study requiring further external validation

Cite This Study

Xu et al. (2023) conducted a cross-sectional in Type 2 diabetes mellitus (n=337). Para-perirenal fat thickness (PRFT) vs. Other obesity-related indicators (BMI, WC, WHR, TAF, SAT, VAT) was evaluated on Prediction of chronic kidney disease (CKD) (AUC 0.686, 95% CI 0.582-0.791, p=0.001). Para-perirenal fat thickness was the strongest predictor of chronic kidney disease among obesity-related indicators in patients with type 2 diabetes mellitus (AUC 0.686).

synapsesocial.com/papers/6aa435e804de40c43bb15991https://doi.org/10.1371/journal.pone.0293464
View Full Paper
Ask AI
Bookmark
Share