| Literature DB >> 36184606 |
Hao Wang1, Junlin Lu2, Xin Chen1, Qiang Hao3.
Abstract
BACKGROUND: Giant intracranial aneurysms (GIAs) are challenges for surgical treatment. Risk factors of postoperative stroke remain unclear. This study aims to investigate the predictors of postoperative stroke in GIAs and the impact of stroke on outcomes.Entities:
Keywords: Complication; Giant intracranial aneurysms; Microsurgery; Outcome; Stroke
Year: 2022 PMID: 36184606 PMCID: PMC9528132 DOI: 10.1186/s41016-022-00297-x
Source DB: PubMed Journal: Chin Neurosurg J ISSN: 2057-4967
Fig. 1Flow diagram of the study population
Baseline characteristics of patients with and without postoperative stroke
| Characteristic | All Pts ( | Postop stroke | ||
|---|---|---|---|---|
| Present ( | Absent ( | |||
| Mean age, years | 47.79 ± 14.49 | 45.85 ± 16.00 | 48.51 ± 13.95 | 0.426 |
| Age < 18 years | 6 (6.2) | 2 (7.7) | 4 (5.6) | 0.709 |
| Sex | 0.940 | |||
| Male | 33 (34.0) | 9 (34.6) | 24 (33.8) | |
| Female | 64 (66.0) | 17 (65.4) | 47 (66.2) | |
| Onset symptoms | 0.066 | |||
| SAH | 11 (11.3) | 3 (11.5) | 8 (11.3) | |
| Neurological deficits | 36 (37.1) | 7 (26.9) | 29 (40.8) | |
| Headache | 28 (28.9) | 13 (50.0) | 15 (21.1) | |
| Dizziness | 10 (10.3) | 2 (7.7) | 8 (11.3) | |
| Asymptomatic | 12 (12.4) | 1 (3.8) | 11 (15.5) | |
| Medical history | ||||
| Smoking | 14 (14.4) | 5 (19.2) | 9 (12.7) | 0.416 |
| Drinking | 10 (10.3) | 2 (7.7) | 8 (11.3) | 0.608 |
| Diabetes | 4 (4.1) | 0 (0) | 4 (5.6) | 0.216 |
| Hypertension | 41 (42.3) | 11 (42.3) | 30 (42.3) | 0.996 |
| Hyperlipidemia | 3 (3.1) | 0 (0) | 3 (4.2) | 0.287 |
| Preop mRS score | 0.934 | |||
| < 2 | 93 (95.9) | 25 (96.2) | 68 (95.8) | |
| ≥ 2 | 4 (4.1) | 1 (3.8) | 3 (4.2) | |
| Recurrent aneurysm | 8 (8.2) | 6 (23.1) | 2 (2.8) | 0.001 |
| Multiple aneurysm | 18 (18.6) | 3 (11.5) | 15 (21.1) | 0.282 |
| Size, cm | 2.96 ± 6.23 | 3.12 ± 6.46 | 2.89 ± 6.07 | 0.107 |
| < 3.5 cm | 78 (80.4) | 17 (65.4) | 61 (85.9) | 0.024 |
| ≥ 3.5 cm | 19 (19.6) | 9 (34.6) | 10 (14.1) | |
| Location | 0.913 | |||
| Anterior circulation | 90 (92.8) | 24 (92.3) | 66 (93.0) | |
| Posterior circulation | 7 (7.2) | 2 (7.7) | 5 (7.0) | |
| Shape | 0.416 | |||
| Saccular | 91 (93.8) | 23 (88.5) | 68 (95.8) | |
| Fusiform | 2 (2.1) | 1 (3.8) | 1 (1.4) | |
| Serpentine | 4 (4.1) | 2 (7.7) | 2 (2.8) | |
| Surgical modalities | 0.077 | |||
| Clipping | 85 (87.7) | 21 (80.8) | 64 (90.1) | |
| Trapping with bypass | 8 (8.2) | 5 (19.2) | 3 (4.2) | |
| ICA ligation | 1 (1.0) | 0 (0) | 1 (1.4) | |
| Bypass alone | 3 (3.1) | 0 (0) | 3 (4.2) | |
| LOS, days | 19.39 ± 8.90 | 23.04 ± 8.39 | 18.06 ± 8.76 | 0.014 |
Data are n (%) unless otherwise indicated. Mean values are given with SDs
SAH Subarachnoid hemorrhage, Preop Preoperative, mRS Modified ranking scale, LOS Length of hospital stays
Anatomic distribution of the giant aneurysms
| Location | Total ( | Postop stroke | |
|---|---|---|---|
| Present ( | Absent ( | ||
| Anterior circulation | 90 (92.8) | 24 (92.4) | 66 (93.0) |
| ICA | 39 (40.2) | 10 (38.0) | 29 (40.8) |
| Cavernous segment | 4 (4.1) | 1 (3.8) | 3 (4.2) |
| Clinoid segment | 7 (7.2) | 3 (11.5) | 4 (5.6) |
| Ophthalmic segment | 9 (9.3) | 0 (0) | 9 (12.7) |
| Bifurcation | 19 (19.6) | 6 (23.1) | 13 (18.3) |
| PCoA | 4 (4.1) | 2 (7.6) | 2 (2.8) |
| ACA | 1 (1.0) | 0 (0) | 1 (1.4) |
| ACoA | 4 (4.1) | 0 (0) | 4 (5.6) |
| MCA | 42 (43.4) | 12 (46.4) | 30 (42.0) |
| Posterior circulation | 7 (7.2) | 2 (7.6) | 5 (7.0) |
| VA | 2 (2.1) | 1 (3.8) | 1 (1.4) |
| PICA | 1 (1.0) | 0 (0) | 1 (1.4) |
| PCA | 4 (4.1) | 1 (3.8) | 3 (4.2) |
Data are n (%) unless otherwise indicated
ICA Internal carotid artery, PCoA Posterior communicating artery, ACA Anterior cerebral artery, ACoA Anterior communicating artery, MCA Middle cerebral artery, VA Vertebral artery, PICA Posterior inferior cerebellar artery, PCA Posterior cerebral artery
Logistic regression analysis for postoperative strokes
| Covariate | Univariable | Multivariable | ||
|---|---|---|---|---|
| OR (95% CI) | OR (95% CI) | |||
| Mean age, years | 0.988 (0.958–1.018) | 0.423 | ||
| Sex | 1.037 (0.403–2.670) | 0.940 | ||
| Ruptured aneurysm | 0.796 (0.201–3.151) | 0.745 | ||
| Smoking | 1.640 (0.494–5.446) | 0.419 | ||
| Drinking | 0.656 (0.130–3.314) | 0.610 | ||
| Diabetes | —— | 0.999 | ||
| Hypertension | 1.002 (0.404–2.488) | 0.996 | ||
| Hyperlipidemia | —— | 0.999 | ||
| Recurrent aneurysm | 10.350 (1.937–55.308) | 0.006 | 10.982 (1.976–61.045) | 0.006 |
| Size ≥ 3.5 cm | 3.229 (1.131–9.217) | 0.028 | 3.420 (1.133–10.327) | 0.029 |
| Location | ||||
| Anterior | Ref | Ref | ||
| Posterior | 1.100 (0.200–6.052) | 0.913 | ||
| Shape | ||||
| Non-saccular | Ref | Ref | ||
| Saccular | 0.338 (0.064–1.794) | 0.203 | ||
| Surgical modalities | ||||
| Non-clipping | Ref | Ref | ||
| Clipping | 0.459 (0.132–1.602) | 0.222 | ||
Perioperative and follow-up outcomes in the postoperative stroke and no-postoperative strokes groups
| Periop outcomes | Total | Postop stroke | ||
|---|---|---|---|---|
| Present | Absent | |||
| No. of patients | 97 | 26 | 71 | |
| Aneurysm residual | 3 (3.1) | 0 (0) | 3 (4.2) | 0.287 |
| mRS score 1 month postop | < 0.001 | |||
| < 2 | 71 (73.2) | 7 (26.9) | 64 (90.1) | |
| ≥ 2 | 26 (26.8) | 19 (73.1) | 7 (9.9) | |
| Mortality 1 month postop | 4 (4.1) | 2 (7.7) | 2 (2.8) | 0.285 |
| Follow-up outcomes | ||||
| No. of patients | 89 | 23 | 66 | |
| Hemorrhage | 3 (3.4) | 0 (0) | 3 (4.5) | 0.298 |
| Aneurysm recurrence | 1 (1.1) | 0 (0) | 1 (1.5) | 0.553 |
| De novo aneurysm formation | 3 (3.4) | 2 (8.7) | 1 (1.5) | 0.100 |
| mRS score at last follow-up | < 0.001 | |||
| < 2 | 75 (84.3) | 12 (52.2) | 63 (95.6) | |
| ≥ 2 | 14 (15.7) | 11 (47.8) | 3 (4.5) | |
| Mortality at last follow-up | 4 (4.5) | 2 (8.7) | 2 (3.0) | 0.259 |
| Neural function deterioration | 14 (15.7) | 11 (47.8) | 3 (4.5) | < 0.001 |
Fig. 2Comparison of mRS scores of patients with and without postoperative stroke. The proportions of patients with mRS scores ranging from 0 to 6 are shown for all patients on admission (A), at discharge (B), and the last follow-up (C)