| Literature DB >> 33827445 |
Seung Jae Kim1,2, Oh Deog Kwon3, Ho Chun Choi4, Eung-Joon Lee5, BeLong Cho6.
Abstract
BACKGROUND: We aimed to provide real-world evidence on the benefit of persistence with antiplatelet therapy (APT) on long-term all-cause mortality (ACM) in ischemic stroke patients aged 75 years and older.Entities:
Keywords: Antiplatelet; Associated factors; Ischemic stroke; Mortality; Patients 75 years and older; Persistence
Year: 2021 PMID: 33827445 PMCID: PMC8028245 DOI: 10.1186/s12877-021-02171-4
Source DB: PubMed Journal: BMC Geriatr ISSN: 1471-2318 Impact factor: 3.921
Fig. 1Flow chart of study population selection. NHIS-NSC: National Health Insurance Service-National Sample Cohort; CT: computed tomography; MRI: Magnetic resonance imaging; MPR: medication possession ratio
Baseline characteristics of study population
| Characteristics | All | Non-persistent | Persistent | |
|---|---|---|---|---|
| Total | 887 (100%) | 321 (100%) | 566 (100%) | |
| Sex | 0.889 | |||
| Male | 373 (42.1%) | 134 (41.7%) | 239 (42.2%) | |
| Female | 514 (57.9%) | 187 (58.3%) | 327 (57.8%) | |
| Age (years) | 80.5 ± 3.7 | 81.0 ± 3.8 | 80.2 ± 3.6 | 0.007 |
| 75-79 | 489 (55.1%) | 155 (48.3%) | 334 (59.0%) | |
| 80-84 | 262 (29.6%) | 106 (33.0%) | 156 (27.6%) | |
| ≥ 85 | 136 (15.3%) | 60 (18.7%) | 76 (13.4%) | |
| Household income | 0.046 | |||
| Low | 256 (28.8%) | 135 (42.0%) | 287 (50.7%) | |
| Middle | 209 (23.6%) | 83 (25.9%) | 126 (22.3%) | |
| High | 422 (47.6%) | 103 (32.1%) | 153 (27.0%) | |
| Residential area | 0.191 | |||
| Urban | 722 (81.4%) | 254 (79.1%) | 468 (82.7%) | |
| Rural | 165 (18.6%) | 67 (20.9%) | 98 (17.3%) | |
| Type of health insurance | 0.423 | |||
| Medicare | 805 (90.8%) | 288 (89.7%) | 517 (91.3%) | |
| Medical aid | 82 (9.2%) | 33 (10.3%) | 49 (8.7%) | |
| Charlson comorbidity index | 0.009 | |||
| 1-2 | 420 (47.3%) | 143 (44.6%) | 277 (48.9%) | |
| 3-5 | 415 (46.8%) | 149 (46.4%) | 266 (47.0%) | |
| ≥ 6 | 52 (5.9%) | 29 (9.0%) | 23 (4.1%) | |
| Number of prescribed medications | 0.009 | |||
| < 4 | 154 (17.4%) | 68 (21.2%) | 86 (15.2%) | |
| 4-7 | 566 (63.8%) | 184 (57.3%) | 382 (67.5%) | |
| ≥ 8 | 167 (18.8%) | 69 (21.5%) | 98 (17.3%) | |
| Mean duration of antiplatelets (days) | 465.8 ± 372.5 | 47.8 ± 55.4 | 703.0 ± 245.4 | 0.000 |
Abbreviations SD Standard deviation
Association of persistence with antiplatelets on long-term mortalitya after ischemic stroke
| Duration of antiplatelets | All-cause mortality | CVD mortality | Non-CVD mortality | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Event No | Crude | Adjusted HRb | Event No | Crude | Adjusted HRb | Event No | Crude | Adjusted HRb | |||||||
Non-persistent (< 6 months) ( | 173 | 2.35 (1.90-2.91) | 0.000 | 2.13 (1.72-2.65) | 0.000 | 63 | 2.40 (1.68-3.42) | 0.000 | 2.26 (1.57-3.24) | 0.000 | 110 | 2.33 (1.78-3.03) | 0.000 | 2.06 (1.57-2.70) | 0.000 |
Persistent (≥ 6 months) ( | 168 | Reference | Reference | 59 | Reference | Reference | 109 | Reference | Reference | ||||||
Analysis was performed using Cox proportional hazard regression model
Abbreviations: CVD Cerebro-cardiovascular disease, No Number, HR Hazard ratio
aMedian follow-up was 3.17 years
bAdjusted for sex, age, income, residential area, type of insurance, Charlson comorbidity index, and number of prescribed medications
Fig. 2Kaplan-Meier curves of cumulative probability of event after ischemic stroke between the antiplatelet continuers and discontinuers. CVD: cerebro-cardiovascular disease; non-CVD: non-cerebro-cardiovascular disease
Predictors of the early discontinuation of antiplatelets within 6 months after ischemic stroke compared to continuers
| Factors | Univariate logistic regression analysis | Multivariate logistic regression analysis | ||
|---|---|---|---|---|
| Crude OR (95% CI) | Adjusted ORa(95% CI) | |||
| Sex | ||||
| Male | 1 (reference) | 1 (reference) | ||
| Female | 1.02 (0.77-1.35) | 0.889 | 0.97 (0.73-1.29) | 0.857 |
| Age | ||||
| 75-79 | 1 (reference) | 1 (reference) | ||
| 80-84 | 1.46 (1.07-2.00) | 0.016 | 1.52 (1.11-2.09) | 0.009 |
| ≥ 85 | 1.70 (1.15-2.51) | 0.007 | 1.73 (1.17-2.57) | 0.007 |
| Income | ||||
| High | 1 (reference) | 1 (reference) | ||
| Middle | 1.40 (0.99-1.98) | 0.055 | 1.43 (1.00-2.03) | 0.048 |
| Low | 1.43 (1.04-1.98) | 0.030 | 1.38 (0.95-2.02) | 0.093 |
| Residential area | ||||
| Urban | 1 (reference) | 1 (reference) | ||
| Rural | 1.26 (0.89-1.78) | 0.191 | 1.23 (0.86-1.76) | 0.256 |
| Health insurance | ||||
| Medicare | 1 (reference) | 1 (reference) | ||
| Medical aid | 1.21 (0.76-1.92) | 0.423 | 1.09 (0.63-1.88) | 0.758 |
| Charlson comorbidity index | ||||
| < 6 | 1 (reference) | 1 (reference) | ||
| ≥ 6 | 2.34 (1.33-4.13) | 0.003 | 2.56 (1.43-4.55) | 0.001 |
| Number of prescribed medications | ||||
| ≥ 4 | 1 (reference) | 1 (reference) | ||
| < 4 | 1.50 (1.05-2.13) | 0.024 | 1.54 (1.08-2.21) | 0.000 |
aAdjusted for sex, age, income, residential area, type of health insurance, Charlson comorbidity index, and number of prescribed medications