Literature DB >> 33951655

Association between Diabetes Mellitus and Contrast-Associated Acute Kidney Injury: A Systematic Review and Meta-Analysis of 1.1 Million Contrast Exposure Patients.

Liwei Liu1,2, Yan Liang3, Huangqiang Li1, Zhubin Lun4, Ming Ying1, Shiqun Chen1, Guanzhong Chen5, Jin Liu1, Yihang Ling1,2, Shaojun Xin1, Jiyan Chen1,2, Yong Liu1,2.   

Abstract

BACKGROUND: Although diabetes mellitus (DM) has been a common risk factor of contrast-associated acute kidney injury (CA-AKI) for a long time, several current studies showed that DM is not an independent risk factor. Due to this diverse finding, we aim to conduct a systematic review assessing the effect of DM on CA-AKI.
METHODS: We searched Ovid Medline, Embase, and Cochrane Database of Systematic Reviews (to June 1, 2020) for studies assessing the association between DM and CA-AKI. Random meta-analysis was performed to derive the pooled estimates of the adjusted odds ratio (OR) and corresponding 95% confidence intervals (CIs).
RESULTS: A total of 84 studies involving 1,136,827 participants were included in this meta-analysis. The presence of DM was associated with an higher risk of CA-AKI (pooled OR: 1.58, 95% CI: 1.48-1.70, I2 = 64%). Furthermore, the predictive effect of elevated CA-AKI for was stronger in the subgroup of DM patients with chronic kidney disease (CKD) (OR: 2.33, 95% CI: 1.21-4.51), while the relationship between DM and CA-AKI was not significant in subgroup patients without CKD (OR: 1.12, 95% CI: 0.73-1.72).
CONCLUSION: This is the first meta-analysis to prove that DM is an independent risk factor of CA-AKI in patients. While the predictive value of DM for CA-AKI in patients with normal kidney function was weakened, more protective treatments are needed in diabetic patients with kidney dysfunction to avoid the occurrence of CA-AKI.
© 2021 S. Karger AG, Basel.

Entities:  

Keywords:  Contrast-associated acute kidney injury; Diabetes mellitus; Kidney disease; Meta-analysis

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Year:  2021        PMID: 33951655     DOI: 10.1159/000515906

Source DB:  PubMed          Journal:  Nephron        ISSN: 1660-8151            Impact factor:   3.457


  1 in total

1.  Application of Machine Learning Algorithms to Predict Acute Kidney Injury in Elderly Orthopedic Postoperative Patients.

Authors:  Qiuchong Chen; Yixue Zhang; Mengjun Zhang; Ziying Li; Jindong Liu
Journal:  Clin Interv Aging       Date:  2022-03-31       Impact factor: 4.458

  1 in total

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