| Literature DB >> 35363159 |
Liying Zhuang1, Lihao Zhai2, Song Qiao1, Xiaofeng Hu3, Qilun Lai1, Fengli Fu2, Lin Cheng1, Lu Liu1, Xiaoli Liu1, Junjun Wang1.
Abstract
ABSTRACT: Anticoagulant treatment increases the risk of intracerebral hemorrhage (ICH), but whether the treatment, more specifically non-vitamin K oral anticoagulants (NOACs), increases the risk of cerebral microbleeds (CMBs) remains uncertain. We performed this study to investigate the development of new CMBs due to NOACs or warfarin treatment in patients with atrial fibrillation (AF).We prospectively recruited AF patients before anticoagulation from June 2016 to June 2018. We performed susceptibility-weighted imaging (SWI) examinations on all enrolled AF patients and re-examined SWI 1 year later. We compared demographic features and new CMBs between the NOACs group and the warfarin group. Univariate analysis of clinical factors was performed according to the development of new CMBs; and age, a HAS-B(L)ED score, warfarin use, and the presence of baseline CMBs were then selected for inclusion in the multivariate logistic regression model.A total of 72 AF patients were recruited, 29 of whom were assigned to the NOACs group and 43 to the warfarin group. Finally, 1 patient in the NOACs group (3.4%) and 9 patients (20.9%) in the warfarin group developed new CMBs after 1 year follow-up (P = .08). Univariate analysis showed that age, a HAS-B(L)ED score ≥4, the presence of baseline CMBs were associated with the development of new CMBs (P < .05). And multivariate regression analysis showed baseline CMBs (P = .03, odds ratio = 6.37, 95% confidence interval 1.15-35.36) was independently related to the increase in new CMBs.AF patients treated with NOACs may have a decreased trend in the development of new CMBs compared with those treated with warfarin. Baseline CMBs increased the frequency of new CMBs during anticoagulant treatment. The development of new CMBs in AF patients with anticoagulation requires further longitudinal studies with longer follow-up in larger samples.Entities:
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Year: 2022 PMID: 35363159 PMCID: PMC9282076 DOI: 10.1097/MD.0000000000025836
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
Figure 1Flow chart of the study population.
Figure 2A 72-year-old AF patient with CMB in the right cerebellum before anticoagulant treatment (A). A new CMB had developed after 1 year of warfarin use (B).
AF patients’ characteristics in the NOAC group compared with the warfarin group.
| Characteristic | NOACs (n = 29) | Warfarin (n = 43) | |
| Age (mean ± SD, yr) | 71.93 ± 13.47 | 73.14 ± 9.14 | .651 |
| Female | 10 (34.5%) | 17 (39.5%) | .664 |
| Hypertension | 18 (62.1%) | 24 (55.8%) | .597 |
| Diabetes mellitus | 5 (17.2%) | 10 (23.3%) | .538 |
| Hypercholesterolemia | 12 (41.4%) | 14 (32.6%) | .445 |
| Coronary heart disease | 15 (51.7%) | 18 (41.9%) | .410 |
| Congestive heart failure | 4 (13.8%) | 9 (20.9%) | .440 |
| Alcohol | 7 (24.1%) | 13 (30.2%) | .571 |
| Smoking | 8 (27.6%) | 16 (37.2%) | .396 |
| Ischemic stroke history | 16 (55.2%) | 23 (53.5%) | .888 |
| Hemorrhage history | 4 (13.8%) | 1 (2.3%) | .160 |
| Chronic kidney disease | 6 (20.7%) | 7 (16.3%) | .633 |
| Leukoaraiosis | 8 (27.6%) | 15 (34.9%) | .515 |
| Antiplatelets | 7 (24.1%) | 14 (32.6%) | .441 |
| HAS-B(L)ED (median) | 3 | 3 | .091 |
| Baseline CMBs | 6 (20.7%) | 12 (27.9%) | .488 |
| New CMBs | 1 (3.4%) | 9 (20.9%) | .079 |
CMBs = cerebral microbleeds, HAS-B(L)ED = hypertension, abnormal renal and/or liver function, previous stroke, bleeding history, or predisposition, labile INR, elderly age, drugs and/or alcohol excess, NOACs = non-vitamin K oral anticoagulants.
Univariate and multivariable logistic regression analyses for new CMBs.
| Univariate | Multivariate | |||
| Variates | OR (95% CI) | OR (95% CI) | ||
| Age ≥75 yr | .020 | 12.46 (1.49–104.51) | .189 | 5.08 (0.45–57.39) |
| Female | .383 | 1.82 (0.47–6.97) | ||
| Hypertension | .151 | 3.29 (0.65–16.78) | ||
| Diabetes mellitus | .944 | 0.94 (0.18–4.99) | ||
| Hypercholesterolemia | .330 | 1.95 (0.51–7.51) | ||
| Coronary heart disease | .111 | 3.23 (0.76–13.68) | ||
| Congestive heart failure | .485 | 0.46 (0.05–4.01) | ||
| Alcohol | .358 | 1.92 (0.48–7.67) | ||
| Smoking | .124 | 0.19 (0.02–1.58) | ||
| Ischemic stroke history | .287 | 2.19 (0.52–9.25) | ||
| Hemorrhage history | .685 | 1.61 (0.16–16.09) | ||
| Chronic kidney disease | .299 | 2.23 (0.49–10.11) | ||
| Leukoaraiosis | .196 | 2.44 (0.63–9.48) | ||
| HAS-B(L)ED ≥4 | .022 | 5.14 (1.27–20.82) | .317 | 2.45 (0.42–14.13) |
| Warfarin | .065 | 7.41 (0.89–62.10) | .077 | 7.81 (0.80–76.08) |
| Baseline CMBs | .002 | 10.82 (2.41–48.55) | .034 | 6.37 (1.15–35.36) |
CMBs = cerebral microbleeds, HAS-B(L)ED = hypertension, abnormal renal and/or liver function, previous stroke, bleeding history, or predisposition, labile INR, elderly age, drugs and/or alcohol excess.