| Literature DB >> 25276119 |
Naoki Saji1, Takahiro Sato1, Kenichi Sakuta1, Junya Aoki1, Kazuto Kobayashi1, Noriko Matsumoto1, Junichi Uemura1, Kensaku Shibazaki1, Kazumi Kimura1.
Abstract
BACKGROUND: Chronic kidney disease (CKD) is associated with cerebral small vessel diseases (SVD) and predicts stroke, cardiovascular events and mortality. However, its association with recent small subcortical infarcts (RSSI), a novel subtype of cerebral SVD, has not yet been established in stroke patients. The aim of this longitudinal study was to clarify whether CKD can predict clinical outcome in patients with RSSI.Entities:
Keywords: Chronic kidney disease; Lacunar stroke; Recent small subcortical infarcts; Renal impairment; Small vessel disease; Stroke
Year: 2014 PMID: 25276119 PMCID: PMC4174758 DOI: 10.1159/000365565
Source DB: PubMed Journal: Cerebrovasc Dis Extra ISSN: 1664-5456
Characteristics of the patients with and without CKD
| With CKD (n = 44; 29%) | Without CKD (n = 108; 71%) | p value | |
|---|---|---|---|
| Male | 29 (66) | 72 (67) | 1.000 |
| Age, years | 77 (70–82) | 64 (59–71) | <0.001 |
| Serum creatinine, mg/dl | 0.96 (0.70–1.22) | 0.65 (0.53–0.74) | <0.001 |
| BNP, pg/ml | 51.1 (21–85.2) | 18.5 (10.2–31.3) | <0.001 |
| eGFR, ml/min/1.73 m2 | 47.2 (30.9–55.0) | 85.2 (73.9–102.5) | <0.001 |
| Edaravone, mg | 180 (0–360) | 330 (188–413) | 0.026 |
| SBP, mm Hg | 160 (141–178) | 164 (156–188) | 0.110 |
| DBP, mm Hg | 86 (76–98) | 92 (80–106) | 0.049 |
| BMI | 21.4 (19.1–24.5) | 23.7 (22.4–26.0) | 0.001 |
| NIHSS score on admission | 3 (2–5) | 2 (1–4) | 0.038 |
| NIHSS score at discharge | 1 (0–3) | 1 (0–2) | 0.673 |
| mRS score of 0–2 at discharge | 23 (52) | 84 (77) | 0.003 |
| WMH | 25 (57) | 33 (31) | 0.003 |
| Lacunae | 26 (59) | 57 (53) | 0.590 |
| Microbleeds | 22 (50) | 31 (29) | 0.015 |
| Hypertension | 32 (73) | 77 (71) | 1.000 |
| Diabetes mellitus | 17 (39) | 28 (26) | 0.170 |
| Dyslipidemia | 16 (36) | 29 (27) | 0.248 |
| Ischemic heart disease | 1 (3) | 4 (4) | 1.000 |
| Smoking | 18 (41) | 56 (52) | 0.283 |
| Alcohol consumption | 15 (34) | 45 (42) | 0.465 |
| Endpoint | 16 (36) | 11 (10) | <0.001 |
Data represent medians with interquartile ranges in parentheses or numbers of patients with percentages in parentheses. Endpoints were recurrent stroke, cardiovascular events and all-cause mortality. BNP = Brain natriuretic peptide; SBP = systolic blood pressure; DBP = diastolic blood pressure; BMI = body mass index.
Fig. 1Association between CKD and lacunae, microbleeds (MB) and WMH. Prevalence of CKD in patients according to the presence (+) or absence (-) of lacunae (a), MB (b) and WMH (c).
Fig. 2Kaplan-Meier survival curve estimates of the risk of recurrent stroke, cardiovascular events or all-cause mortality associated with CKD.
Association between CKD and the endpoints evaluated using the Cox proportional-hazards model
| HR | 95% CI | p value | |
|---|---|---|---|
| Unadjusted | 2.56 | 1.42–4.49 | 0.002 |
| Model 1 | 2.33 | 1.19–4.44 | 0.015 |
| Model 2 | 2.22 | 1.12–4.25 | 0.023 |
Endpoints were recurrent stroke, cardiovascular events and all-cause mortality. HR = Hazard ratio.
Adjusted for age and sex.
Adjusted for age, sex and the presence of any lacunae, WMH or microbleeds.