Liao TW, Lai TS, Wu CH. Predictors of cerebral microbleeds in patients with autosomal dominant polycystic kidney disease.
J Formos Med Assoc 2024:S0929-6646(24)00440-6. [PMID:
39299884 DOI:
10.1016/j.jfma.2024.09.020]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2024] [Revised: 08/25/2024] [Accepted: 09/16/2024] [Indexed: 09/22/2024] Open
Abstract
OBJECTIVES
Individuals with autosomal dominant polycystic kidney disease (ADPKD) can present with vascular abnormalities, including intracranial aneurysms. However, whether ADPKD is associated with cerebral small-vessel disease, such as cerebral microbleeds (CM), remains unclear. The study analyzes the prevalence of CM and the associated clinical and radiological factors in patients with ADPKD.
METHODS
The retrospective study enrolled 140 consecutive patients with ADPKD from July 2014 to May 2023. Brain MRIs were analyzed for the presence of CM with susceptibility-weighted imaging (SWI), which were categorized based on lesion location (lobar, deep, or infratentorial).
RESULT
In this study, the prevalence of CM is 26.4%. Chronic kidney disease (CKD) stage (odds ratio [OR]: 1.40, 95% confidence interval [CI]: 1.04-1.88, p = 0.027) and leukoaraiosis grade (OR: 3.29, 95% CI: 1.43-7.56, p = 0.005) were strongly associated with CM. Additionally, both CKD stage (OR: 1.48, 95% CI: 1.06-2.07, p = 0.023) and leukoaraiosis grade (OR: 2.81, 95% CI: 1.30-6.05, p = 0.008) were associated with lobar microbleeds, whereas only leukoaraiosis grade was also related to deep (OR: 9.00, 95% CI: 3.06-26.44, p < 0.001) and infratentorial (OR: 2.48, 95% CI: 1.10-5.61, p = 0.029) microbleeds. The prediction model based on age, CKD stage and leukoaraiosis grade had diagnostic performance with area under curve: 0.804, 0.688, 0.697, respectively.
CONCLUSION
We recommend that patients with ADPKD who are aged 58 or older, and who have CKD of at least stage 3, undergo brain MRI for detection of CM.
Collapse