BACKGROUND AND PURPOSE: To investigate the relationship between chronic kidney disease (CKD) and MRI-defined cerebral microbleeds (CMB), a harbinger of future intracerebral hemorrhage (ICH), among patients with a recent history of primary ICH. METHODS: Using data from a predominantly black cohort of patients with a recent ICH-enrolled in an observational study between September 2007 and June 2011, we evaluated the association between CKD (defined as estimated low glomerular filtration rate<60 mL/min per 1.73 m(2)) and CMB on gradient-echo MRI. Multivariable models were generated to determine the contribution of CKD to the presence, number, and location of CMB. RESULTS: Of 197 subjects with imaging data, mean age was 59 years, 48% were women, 73% were black, 114 (58%) had ≥1 CMBs, and 52 (26%) had CKD. Overall, CKD was associated with presence of CMB (adjusted odds ratio, 2.70; 95% confidence interval [CI], 1.10-6.59) and number of CMB (adjusted relative risk, 2.04; 95% CI, 1.27-3.27). CKD was associated with CMB presence (adjusted odds ratio, 3.44; 95% CI, 1.64-7.24) and number (adjusted relative risk, 2.46; 95% CI, 1.11-5.42) in black patients, but not CMB presence (adjusted odds ratio, 3.00; 95% CI, 0.61-14.86) or number (adjusted relative risk, 1.03; 95% CI: 0.22-4.89) in non-Hispanic white patients (interactions by race were statistically not significant). CONCLUSIONS: CKD is associated with a greater presence and number of CMB in ICH patients, particularly in patients of black race. Future studies should assess whether low estimated glomerular filtration rate may be a CMB risk marker or potential therapeutic target for mitigating the development of CMB.
BACKGROUND AND PURPOSE: To investigate the relationship between chronic kidney disease (CKD) and MRI-defined cerebral microbleeds (CMB), a harbinger of future intracerebral hemorrhage (ICH), among patients with a recent history of primary ICH. METHODS: Using data from a predominantly black cohort of patients with a recent ICH-enrolled in an observational study between September 2007 and June 2011, we evaluated the association between CKD (defined as estimated low glomerular filtration rate<60 mL/min per 1.73 m(2)) and CMB on gradient-echo MRI. Multivariable models were generated to determine the contribution of CKD to the presence, number, and location of CMB. RESULTS: Of 197 subjects with imaging data, mean age was 59 years, 48% were women, 73% were black, 114 (58%) had ≥1 CMBs, and 52 (26%) had CKD. Overall, CKD was associated with presence of CMB (adjusted odds ratio, 2.70; 95% confidence interval [CI], 1.10-6.59) and number of CMB (adjusted relative risk, 2.04; 95% CI, 1.27-3.27). CKD was associated with CMB presence (adjusted odds ratio, 3.44; 95% CI, 1.64-7.24) and number (adjusted relative risk, 2.46; 95% CI, 1.11-5.42) in black patients, but not CMB presence (adjusted odds ratio, 3.00; 95% CI, 0.61-14.86) or number (adjusted relative risk, 1.03; 95% CI: 0.22-4.89) in non-Hispanic white patients (interactions by race were statistically not significant). CONCLUSIONS: CKD is associated with a greater presence and number of CMB in ICHpatients, particularly in patients of black race. Future studies should assess whether low estimated glomerular filtration rate may be a CMB risk marker or potential therapeutic target for mitigating the development of CMB.
Authors: Jason Mackey; Jeffrey J Wing; Gina Norato; Ian Sobotka; Ravi S Menon; Richard E Burgess; M Chris Gibbons; Nawar M Shara; Stephen Fernandez; Annapurni Jayam-Trouth; Laura Russell; Dorothy F Edwards; Chelsea S Kidwell Journal: Int J Stroke Date: 2015-08-26 Impact factor: 5.266
Authors: Gargi Banerjee; Kolawole W Wahab; Simone M Gregoire; Fatima Jichi; Andreas Charidimou; Hans R Jäger; Khadija Rantell; David J Werring Journal: J Neurol Date: 2016-02-17 Impact factor: 4.849
Authors: Amber O Molnar; Sarah E Bota; Amit X Garg; Ziv Harel; Ngan Lam; Eric McArthur; Gihad Nesrallah; Jeffrey Perl; Manish M Sood Journal: J Am Soc Nephrol Date: 2016-01-28 Impact factor: 10.121
Authors: Ashkan Shoamanesh; Andrea Morotti; Javier M Romero; Jamary Oliveira-Filho; Frieder Schlunk; Michael J Jessel; Alison M Ayres; Anastasia Vashkevich; Kristin Schwab; Mohammad R Afzal; Christy Cassarly; Renee H Martin; Adnan I Qureshi; Steven M Greenberg; Jonathan Rosand; Joshua N Goldstein Journal: JAMA Neurol Date: 2018-07-01 Impact factor: 18.302