| Literature DB >> 34276341 |
Junhua Yang1,2,3,4, Qingyuan Liu1,2,3,4, Shaohua Mo1,2,3,4, Kaiwen Wang1,2,3,4, Maogui Li1,2,3,4, Jun Wu1,2,3,4, Pengjun Jiang1,2,3,4, Shuzhe Yang1,2,3,4, Rui Guo1,2,3,4, Yi Yang1,2,3,4, Jiaming Zhang1,2,3,4, Yang Liu1,2,3,4, Yong Cao1,2,3,4, Shuo Wang1,2,3,4.
Abstract
BACKGROUND ANDEntities:
Keywords: antiplatelet; complications; spontaneous intracranial hematoma; stroke; surgery
Year: 2021 PMID: 34276341 PMCID: PMC8283695 DOI: 10.3389/fnagi.2021.681998
Source DB: PubMed Journal: Front Aging Neurosci ISSN: 1663-4365 Impact factor: 5.750
Patient’s baseline characteristics according to preoperative APT.
| Variables | nAPT ( | APT ( | |
| Gender | 0.175 | ||
| Male | 97 (84.35%) | 26 (74.29%) | |
| Female | 18 (15.65%) | 9 (25.71%) | |
| Age (years) | 48.39 ± 12.713 | 57.29 ± 13.024 | 0.001 |
| Smoking | 59 (51.30%) | 12 (34.29%) | 0.077 |
| Alcohol | 73 (63.48%) | 16 (45.71%) | 0.061 |
| Hypertension | 107 (93.04%) | 32 (91.43%) | 0.719 |
| Diabetes | 11 (9.57%) | 6 (17.14%) | 0.230 |
| Coronary heart disease | 6 (5.22%) | 5 (14.29%) | 0.129 |
| Ischemic stroke history | 5 (4.35%) | 14 (40.00%) | 0.000 |
| Cerebral hemorrhage history | 4 (3.49%) | 3 (8.57%) | 0.355 |
| Side | 0.709 | ||
| Left | 60 (52.17%) | 17 (48.57%) | |
| Right | 55 (47.83%) | 18 (51.43%) | |
| Localization | 0.096 | ||
| Lobar | 21 (18.26%) | 11 (31.43%) | |
| Deep | 94 (81.74%) | 24 (68.57%) | |
| Hematoma volume (ml) | 46.37 (31.36, 58.58) | 54.11 (33.36, 76.90) | 0.077 |
| Hemorrhage expansion | 43 (37.39%) | 10 (28.57%) | 0.629 |
| Ventricular hematoma | 52 (45.22%) | 29 (82.86%) | 0.000 |
| Subarachnoid hemorrhage | 25 (21.74%) | 7 (20.00%) | 0.826 |
| Time from symptom onset to surgery (h) | 45 (22, 93) | 32 (15, 60) | 0.149 |
| Surgery | 0.368 | ||
| Craniotomy | 50 (43.48%) | 19 (54.29%) | |
| Endoscopic surgery | 10 (8.70%) | 4 (11.43%) | |
| Minimally invasive surgery | 55 (47.83%) | 12 (34.29%) | |
| Intraoperative blood loss (ml) | 200 (100, 400) | 300 (200, 500) | 0.053 |
| Rate of hematoma evacuation (%) | 92.30 (75.90, 96.77) | 89.00 (70.42, 93.40) | 0.226 |
| Postoperative residual hematoma volume (ml) | 2.63 (1.03, 12.79) | 4.33 (1.12, 21.14) | 0.645 |
| PLT 10^9/l | 0.102 | ||
| <125 | 2 (1.74%) | 3 (8.57%) | |
| 125–350 | 107 (93.04%) | 29 (82.8%) | |
| >350 | 6 (5.22%) | 3 (8.57%) | |
| INR | 0.96 (0.89, 1.02) | 0.99 (0.94, 1.04) | 0.087 |
| APTT (s) | 26.00 (23.50, 28.48) | 26.80 (24.20, 30.40) | 0.109 |
| Platelet transfusion | 7 (6.09%) | 5 (14.29%) | 0.152 |
| Neurological condition at admission | 1.000 | ||
| mRS (0–3) | 12 (10.43%) | 4 (11.43%) | |
| mRS (4–5) | 103 (89.57%) | 31 (88.57%) | |
The association between preoperative APT and postoperative rehemorrhage or outcomes.
| nAPT ( | APT ( | ||
| Postoperative rehemorrhage | 12 (10.43%) | 9 (25.71%) | 0.047 |
| Postoperative hematoma expansion volume (ml) | 15.76 (3.26, 24.48) | 8.50 (3.80, 13.99) | 0.286 |
| Outcomes | 0.222 | ||
| mRS (0–3) | 19 (16.52%) | 9 (25.71%) | |
| mRS (4–5) | 94 (81.74%) | 23 (65.72%) | |
| Mortality | 2 (1.74%) | 3 (8.57%) |
FIGURE 1The outcomes of patients with ICH after surgery. APT, antiplatelet therapy; nAPT, no antiplatelet therapy; mRS, modified Rankin Scale.
The effects of preoperative APT on postoperative rehemorrhage after adjustment.
| Variables | Odds ratio (95% CI) | |
| APT | 3.046 (0.926, 10.031) | 0.067 |
| Age (years) | 0.998 (0.962, 1.036) | 0.920 |
| Ischemic stroke history | 0.941 (0.237, 3.735) | 0.931 |
| Ventricular hematoma | 1.034 (0.368, 2.906) | 0.949 |
The effects of APT on outcomes after adjustment.
| Variables | Odds ratio (95% CI) | |
| APT | 0.324 (0.095, 1.105) | 0.072 |
| Age (years) | 0.991 (0.958, 1.026) | 0.620 |
| Ischemic stroke history | 1.160 (0.279, 4.813) | 0.838 |
| Ventricular hematoma | 3.792 (1.408, 10.213) | 0.008 |