| Literature DB >> 27873503 |
Young Dae Kim1, Dongbeom Song1, Hyo Suk Nam1, Donghoon Choi2, Jung Sun Kim2, Byeong Keuk Kim2, Hyuk Jae Chang2, Hye Yeon Choi3, Kijeong Lee1, Joonsang Yoo1, Hye Sun Lee4, Chung Mo Nam5, Ji Hoe Heo6.
Abstract
PURPOSE: Although asymptomatic coronary artery occlusive disease is common in stroke patients, the long-term advantages of undergoing evaluation for coronary arterial disease using multi-detector coronary computed tomography (MDCT) have not been well established in stroke patients. We compared long-term cardio-cerebrovascular outcomes between patients who underwent MDCT and those who did not.Entities:
Keywords: Stroke; coronary disease; multi-detector coronary computed tomography; outcome
Mesh:
Year: 2017 PMID: 27873503 PMCID: PMC5122626 DOI: 10.3349/ymj.2017.58.1.114
Source DB: PubMed Journal: Yonsei Med J ISSN: 0513-5796 Impact factor: 2.759
Fig. 1Patient selection for this study. TIA, transient ischemic attack; CAOD, coronary artery occlusive disease; MDCT, multi-detector coronary computed tomography.
Comparison of Baseline Characteristics between the MDCT (+) and MDCT (−) Groups
| Variable | Before matching (n=3117) | After matching (n=1616) | ||||
|---|---|---|---|---|---|---|
| MDCT (+) (n=1842) | MDCT (−) (n=1275) | MDCT (+) (n=808) | MDCT (−) (n=808) | |||
| Age | 64.0±11.1 | 68.1±12.8 | <0.001 | 65.0±11.3 | 65.8±12.9 | 0.109 |
| Male sex | 1176 (63.8) | 710 (55.7) | <0.001 | 483 (59.8) | 479 (59.3) | 0.872 |
| Hypertension | 1350 (73.3) | 1000 (78.4) | 0.001 | 620 (76.7) | 623 (77.1) | 0.903 |
| Diabetes | 565 (30.7) | 430 (33.7) | 0.072 | 254 (31.4) | 265 (32.8) | 0.586 |
| Hypercholesterolemia | 174 (9.4) | 98 (7.7) | 0.087 | 67 (8.3) | 68 (8.4) | >0.999 |
| Current smoker | 505 (27.4) | 237 (18.6) | <0.001 | 192 (23.8) | 179 (22.2) | 0.449 |
| Valvular heart disease | 66 (3.6) | 88 (6.9) | <0.001 | 38 (4.7) | 42 (5.2) | 0.724 |
| Atrial fibrillation | 245 (13.3) | 375 (29.4) | <0.001 | 155 (19.2) | 148 (18.3) | 0.664 |
| Congestive heart failure | 34 (1.8) | 70 (5.5) | <0.001 | 17 (2.1) | 18 (2.2) | >0.999 |
| Previous ischemic stroke | 235 (12.8) | 246 (19.3) | <0.001 | 110 (13.6) | 128 (15.8) | 0.217 |
| Previous intracranial hemorrhage | 59 (3.2) | 47 (3.7) | 0.464 | 25 (3.1) | 24 (3.0) | >0.999 |
| Peripheral arterial occlusive disease | 88 (4.8) | 83 (6.5) | 0.037 | 34 (4.2) | 45 (5.6) | 0.235 |
| Metabolic syndrome | 741 (40.2) | 481 (37.7) | 0.159 | 295 (36.5) | 310 (38.4) | 0.477 |
| Malignancy | 181 (9.8) | 157 (12.3) | 0.028 | 94 (11.6) | 95 (11.8) | >0.999 |
| Chronic kidney disease | 29 (1.6) | 78 (6.1) | <0.001 | 18 (2.2) | 13 (1.6) | 0.442 |
| Prior medication | ||||||
| Antiplatelet | 535 (29.0) | 375 (29.4) | 0.825 | 223 (27.6) | 229 (28.3) | 0.786 |
| Anticoagulant | 71 (3.9) | 114 (8.9) | <0.001 | 49 (6.1) | 45 (5.6) | 0.738 |
| Statin | 253 (13.7) | 192 (15.1) | 0.299 | 115 (14.2) | 117 (14.5) | 0.944 |
| Initial NIHSS | <0.001 | 0.212 | ||||
| 0–5 | 1478 (80.2) | 704 (55.2) | 576 (71.3) | 585 (72.4) | ||
| 6–19 | 350 (19.0) | 440 (34.5) | 221 (27.4) | 216 (26.7) | ||
| ≥20 | 14 (0.8) | 131 (10.3) | 11 (1.4) | 7 (0.9) | ||
| Concomitant cerebral atherosclerosis | 1011 (54.9) | 846 (66.4) | <0.001 | 470 (58.2) | 486 (60.1) | 0.424 |
| Total cholesterol >6.2 mmol/L | 154 (8.4) | 99 (7.8) | 0.549 | 67 (8.3) | 68 (8.4) | >0.999 |
| Triglyceride >3.9 mmol/L | 467 (25.4) | 266 (20.9) | 0.004 | 186 (23.0) | 183 (22.6) | 0.907 |
| High density lipoprotein <1.3 mmol/L | 1435 (77.9) | 926 (72.6) | 0.001 | 611 (75.6) | 612 (75.7) | >0.999 |
| Low density lipoprotein >2.6 mmol/L | 1121 (60.9) | 723 (56.7) | 0.02 | 471 (58.3) | 472 (58.4) | >0.999 |
MDCT, multi-detector coronary computed tomography; NIHSS, National Institutes of Health Stroke Scale.
Values are represented as numbers (%) or mean±SD.
Fig. 2Kaplan-Meier survival curves for (A) death (B) cardiovascular events, and (C) recurrent stroke according to the performance of MDCT in the entire population. MDCT, multi-detector coronary computed tomography.
Impact of Not Performing MDCT on Hazard Ratios for Cardiovascular Events and Recurrent Stroke
| Event | Sample size, no. | Hazard ratio (95% CI) | |
|---|---|---|---|
| Death | |||
| Unadjusted model | 1275 and 1842 | 4.038 (3.302–4.937) | <0.001 |
| Multivariable-adjusted model* | 1275 and 1842 | 2.248 (1.808–2.795) | <0.001 |
| Propensity score-adjusted model† | |||
| Stratification | 1275 and 1842 | 2.410 (1.950–2.980) | <0.001 |
| Within-propensity score quintile | |||
| 1 (kowest propensity) | 149 and 474 | 0.845 (0.170–4.214) | 0.838 |
| 2 | 162 and 462 | 2.347 (1.304–4.225) | 0.004 |
| 3 | 198 and 425 | 1.736 (1.092–2.760) | 0.020 |
| 4 | 303 and 321 | 2.731 (1.834–4.068) | <0.001 |
| 5 (high propensity) | 463 and 160 | 2.888 (1.960–4.257) | <0.001 |
| Regression adjustment | 1275 and 1842 | 2.307 (1.858–2.866) | <0.001 |
| Weighting (stabilized IPTW) | 1275 and 1842 | 2.491 (2.090–2.970) | <0.001 |
| Matching 1:1 | 808 and 808 | 2.783 (1.987–3.897) | <0.001 |
| Cardiovascular events | |||
| Unadjusted model | 1275 and 1842 | 4.476 (2.493–8.034) | <0.001 |
| Multivariable-adjusted model* | 1275 and 1842 | 2.896 (1.551–5.408) | <0.001 |
| Propensity score-adjusted model† | |||
| Stratification | 1275 and 1842 | 2.692 (1.450–4.997) | 0.002 |
| Within-propensity score quintile | |||
| 1 (lowest propensity) | 149 and 474 | -‡ | - |
| 2 | 162 and 462 | 1.932 (0.431–8.662) | 0.389 |
| 3 | 198 and 425 | 1.075 (0.197–5.867) | 0.934 |
| 4 | 303 and 321 | 2.523 (0.777–8.195) | 0.124 |
| 5 (high propensity) | 463 and 160 | 3.740 (1.137–12.304) | 0.030 |
| Regression adjustment | 1275 and 1842 | 2.908 (1.556–5.437) | 0.001 |
| Weighting (stabilized IPTW) | 1275 and 1842 | 3.462 (2.024–5.921) | <0.001 |
| Matching 1:1 | 808 and 808 | 3.200 (1.172–8.735) | 0.023 |
| Recurrent stroke | |||
| Unadjusted model | 1275 and 1842 | 1.962 (1.558–2.470) | <0.001 |
| Multivariable-adjusted model* | 1275 and 1842 | 1.278 (0.993–1.645) | 0.0527 |
| Propensity score-adjusted model† | |||
| Stratification | 1275 and 1842 | 1.419 (1.108–1.816) | 0.005 |
| Within-propensity score quintile | |||
| 1 (lowest propensity) | 149 and 474 | 0.528 (0.177–1.576) | 0.253 |
| 2 | 162 and 462 | 1.868 (0.984–3.546) | 0.056 |
| 3 | 198 and 425 | 1.248 (0.738–2.110) | 0.408 |
| 4 | 303 and 321 | 1.233 (0.776–1.959) | 0.375 |
| 5 (high propensity) | 463 and 160 | 2.091 (1.227–3.565) | 0.007 |
| Regression adjustment | 1275 and 1842 | 1.288 (1.000–1.0659) | 0.050 |
| Weighting (stabilized IPTW) | 1275 and 1842 | 1.527 (1.235–1.889) | <0.001 |
| Matching 1:1 (paired) | 808 and 808 | 1.173 (0.810–1.698) | 0.398 |
MDCT, multi-detector coronary computed tomography; CI, confidence interval; IPTW, inverse probability of treatment weighting.
*This model was adjusted for age, sex, hypertension, diabetes, hypercholesterolemia, current smoking status, valvular heart diseases, atrial fibrillation, congestive heart failure, previous ischemic or hemorrhagic stroke, peripheral arterial occlusive diseases, metabolic syndrome, underlying malignancy, chronic kidney disease, prior antiplatelet/anticoagulant/statin use, initial stroke severity, and lipid profiles, †The propensity of undergoing MDCT was estimated using a multivariate logistic regression model, which included age, sex, hypertension, diabetes, hypercholesterolemia, current smoking status, valvular heart diseases, atrial fibrillation, congestive heart failure, previous ischemic or hemorrhagic stroke, peripheral arterial occlusive diseases, metabolic syndrome, underlying malignancy, chronic kidney disease, prior antiplatelet/anticoagulant/statin use, initial stroke severity, and lipid profiles, ‡This could not be estimated because of no event in MDCT (+) group.
Fig. 3Kaplan-Meier survival curves for (A) death (B) cardiovascular events, and (C) recurrent stroke according to the performance of MDCT in the propensity score-matched population. MDCT, multi-detector coronary computed tomography.