| Literature DB >> 33409830 |
Weiliang Luo1, Jiming Li2, Zhuqin Li2, Xuanwen Luo2, Minrui Chen3, Chunsheng Cai4.
Abstract
BACKGROUND ANDEntities:
Keywords: COVID-19; Reperfusion; Stroke
Mesh:
Year: 2021 PMID: 33409830 PMCID: PMC7787931 DOI: 10.1007/s10072-020-04938-w
Source DB: PubMed Journal: Neurol Sci ISSN: 1590-1874 Impact factor: 3.307
Characteristics of patients with reperfusion treatment from Jan 1 to May 31 in 2019 and 2020
| 2019 ( | 2020 ( | Total ( | |||
|---|---|---|---|---|---|
| Sex | Female ( | 126 (33.4%) | 97 (30.8%) | 223 (32.2%) | 0.461 |
| Male ( | 251 (66.6%) | 218 (69.2%) | 469 (67.8%) | ||
| Age | 64.30 ± 12.57 | 62.98 ± 12.83 | 63.70 ± 12.70 | 0.379 | |
| Wake-up stroke | No ( | 320 (84.9%) | 277 (87.9%) | 597 (86.3%) | 0.992 |
| Yes ( | 44 (11.7%) | 38 (12.1%) | 82 (11.8%) | ||
| Miss ( | 13 (3.4%) | 13 (1.9%) | |||
| Mode of transport to hospital | Self-visit ( | 264 (70.0%) | 216 (68.6%) | 480 (69.4%) | 0.141 |
| Call 120 ambulance ( | 47 (12.5%) | 34 (10.8%) | 81 (11.7%) | ||
| Transfer from outside hospital ( | 41 (10.9%) | 51 (16.2%) | 92 (13.3%) | ||
| Onset in the hospital ( | 9 (2.4%) | 13 (4.1%) | 22 (3.2%) | ||
| Miss ( | 16 (4.2%) | 1 (0.3%) | 17 (2.5%) | ||
| Reperfusion method | Intravenous thrombolysis ( | 293 (77.7%) | 231 (73.3%) | 524 (75.7%) | 0.331 |
| Mechanical thrombectomy ( | 67 (17.8%) | 70 (22.2%) | 137 (19.8%) | ||
| Bridging thrombolysis ( | 17 (4.5%) | 13 (4.1%) | 30 (4.3%) | ||
| Miss ( | 1 (0.3%) | 1 (0.1%) | |||
| NIHSS score before treatment | Median (IQR) | 7 (3, 13) | 8 (4, 15) | 7 (3, 14) | 0.024 |
| Medicine of intravenous thrombolysis | None | 60 (15.9%) | 71 (22.5%) | 131 (18.9%) | 0.950 |
| Alteplase ( | 276 (73.2%) | 212 (67.3%) | 488 (70.5%) | ||
| Urokinase ( | 41 (10.9%) | 32 (10.2%) | 73 (10.5%) | ||
| Stroke type | Anterior circulation ( | 315 (83.3%) | 268 (85.4.8%) | 583 (84.2%) | 0.530 |
| Posterior circulation ( | 63 (16.7%) | 46 (14.6%) | 109 (15.8%) | ||
| ODT (min) | Median (IQR) | 120.0 (64.0, 179.0) | 126 (67.5210.0) | 120.0 (64.0, 199.0) | 0.032 |
| DNT (min) | Median (IQR) | 48 (36, 59) | 40 (32.5, 55) | 44 (34, 58) | 0.003 |
| ONT (min) | Median (IQR) | 160 (106.75, 212.25) | 157.5 (103.75, 211.75) | 158.5 (106, 212) | 0.791 |
| DPT (min) | Median (IQR) | 135 (82.5, 209.5) | 118 (89, 149.25) | 128 (87, 179) | 0.118 |
ODT, onset to door time; DNT, door to needle time; ONT, onset to needle time; DPT, door to puncture time
Fig. 1Comparison for transport mode to hospital of patients with reperfusion treatment in 2019 and 2020
Comparison of transport mode to hospital for patients with reperfusion treatment from Jan 1 to May 31 in 2019 and 2020
| Self-visit | Call 120 ambulance | |||
|---|---|---|---|---|
| NIHSS score before treatment | Median (IQR) | 6.00 (3.00, 12.00) | 14.00 (9.00, 19.00) | 0.000 |
| ODT | Median (IQR) | 105.00 (60.00, 165.00) | 302.50 (167.50, 617.75) | 0.012 |
| DNT | Median (IQR) | 44.00 (34.00, 58.00) | 86.75 (51.00, 122.50) | 0.518 |
| ONT | Median (IQR) | 158.00 (107.50, 210.50) | 235.00 (235.00, 235.00) | 0.002 |
| DPT | Median (IQR) | 150.00 (60.00, 310.50) | 116.00 (79.00, 170.50) | 0.127 |
ODT, onset to door time; DNT, door to needle time; ONT, onset to needle time; DPT, door to puncture time
Comparison of transport mode to hospital for AIS patients with reperfusion treatment by severity from Jan 1 to May 31 in 2019 and 2020
| 2019 ( | 2020 ( | |||
|---|---|---|---|---|
| Self-visit | Call 120 ambulance | Self-visit | Call 120 ambulance | |
| Total | 264 | 47 | 216 | 34 |
| Mild AIS (NIHSS < 8) | 152 (57.6%) | 20 (45.6%) | 123 (56.9%) | 5 (14.7%) |
| Moderate AIS (NIHSS 8–15) | 47 (17.8%) | 14 (29.8%) | 57 (26.4%) | 17 (50.0%) |
| Severe AIS (NIHSS > 15) | 31 (11.7%) | 10 (21.3%) | 32 (14.8%) | 11 (32.4%) |
| Miss | 34 (12.9%) | 3 (6.4%) | 4 (1.8%) | 1 (2.9%) |
| 0.034 | < 0.001 | |||
AIS, acute ischemic stroke
Fig. 2The number of AIS patients with reperfusion treatment from Jan to May in 2019 and 2020
Fig. 3The trend of AIS patients with reperfusion treatment by week in 2019 and 2020
Fig. 4Huizhou hospitals green channel process for stroke patients during the epidemic period