| Literature DB >> 35338400 |
Hossam Shokri1, Nevine El Nahas2, Ahmed El Basiony3, Thanh N Nguyen4, Mohamad Abdalkader4, Piers Klein4, Pablo M Lavados5, Verónica V Olavarría5, Pablo Amaya6, Natalia Llanos-Leyton7, Waldemar Brola8, Lipowski Michał8, Donoband Edson Dejesus Melgarejo Fariña9, Analia Cardozo9, Cesar David Caballero9, Fatima Pedrozo9, Aminur Rahman10, Elyar Sadeghi Hokmabadi11, Javad Jalili12, Mehdi Farhoudi11, Hany Aref2, Tamer Roushdy2.
Abstract
BACKGROUND: It has been reported that acute stroke services were compromised during COVID-19 due to various pandemic-related issues. We aimed to investigate these changes by recruiting centers from different countries.Entities:
Keywords: Acute stroke services; Hemorrhagic stroke; Pandemic-related issues; Stroke data base
Mesh:
Year: 2022 PMID: 35338400 PMCID: PMC8956331 DOI: 10.1007/s10072-022-06018-7
Source DB: PubMed Journal: Neurol Sci ISSN: 1590-1874 Impact factor: 3.307
The number of patients recruited in each center and their demographics
| Iran | USA | Egypt | Poland | Chile | Colombia | Bangladesh | Paraguay | |
|---|---|---|---|---|---|---|---|---|
| No. of patient recruited in each center | 1519 | 1224 | 1174 | 579 | 272 | 260 | 168 | 117 |
| Age, median (minimum- maximum) | 69 (13–102) | 67 (7–101) | 63 (20–98) | 73 (32–92) | 74 (21–101) | 72 (22–103) | 56 (31––85) | 69 (33–89) |
| Male gender, % | 53.9 | 51.1 | 60.9 | 58.7 | 57 | 50.4 | 54.8 | 68.4 |
| Hypertension, % | 70.8 | 68 | 61.1 | 88.9 | 59.9 | 66.5 | 97 | 90.6 |
| Diabetes mellitus, % | 24.1 | 24.6 | 46.3 | 52.8 | 16.2 | 24.2 | 60.1 | 35.9 |
| Atrial fibrillation, % | 5.7 | 16.7 | 7.8 | 58 | 21.3 | 20 | 28.6 | 16.2 |
| Previous stroke, % | 17.2 | 17.6 | 13 | 9.8 | 19.9 | 15.8 | 21.4 | 13.7 |
Clinical characteristics of the total sample and comparison between clinical characteristics of patients pre- and during COVID-19 period:
| Variables | Total sample | Pre COVID-19 | During COVID-19 | |
|---|---|---|---|---|
| Age (years)* | 66.7 (14) | 68 (58–77) | 67 (57–76) | < 0.01 |
| Male gender, % | 55.6% | 55.2% | 56.1% | 0.54 |
| Management, % | 0.054 | |||
| Standard | 78.8% | 79.4% (2219) | 78% (1965) | |
| rtPA | 15.9% | 16.1% (450) | 15.8% (397) | |
| Thrombectomy | 2.8% | 2.3% (65) | 3.3% (84) | |
| rtPA and thrombectomy | 2.5% | 2.2% (61) | 2.9% (72) | |
| Onset to door (minutes)* | 360 (162–1022) | 370 (154–1199) | 360 (165–901) | 0.161 |
| Door to needle (minutes)* | 41 (30–57) | 38 (30–49) | 45 (30–64) | < 0.01 |
| Door to groin (minutes)* | 121 (80–177) | 122 (72–180) | 121 (91–175) | 0.616 |
| Hospitalization (days)* | 7 (4–11) | 7 (4–12) | 7 (3–10) | < 0.01 |
| NIHSS baseline* | 9 (4–15) | 8 (4–14) | 10 (3–16) | < 0.01 |
| NIHSS 24 h* | 7 (3–12) | 6 (3–10) | 8 (4–12) | < 0.01 |
| NIHSS discharge* | 6 (2–11) | 5 (2–11) | 6 (2–11) | 0.280 |
| mRS discharge | 33% | 34.9% | 31.1% | 0.005 |
| mRS 3 months | 40.2% | 42.5% | 37.4% | < 0.01 |
mRS, favorable outcome < 2, *median (interquartile range); p value, between clinical characteristics of patients over the two time periods
Clinical characteristics and comparison between clinical characteristics of patients pre- and during COVID-19 in each center separately
| Age (years)* | Male gender, % | Management, % | Onset to door (minutes)* | Door to needle (minutes)* | Door to groin (minutes)* | Hospitalization (days)* | NIHSS baseline* | NIHSS 24 h* | NIHSS discharge* | mRS discharge, % | mRS 3 months, % | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Conservative | rtPA | Thrombectomy | rtPA and thrombectomy | |||||||||||||
| Iran | Pre COVID-19 | 71 (60–81) | 54.1 | 78.9 | 21.1 | 0 | 0 | 252 (117–804) | 42 (32–54) | - | 7 (4–13) | 12 (6–20) | 10 (4–17) | 9 (3–21) | 27.6 | 30.9 |
| During COVID-19 | 67 (56–76) | 53.5 | 84.9 | 14.5 | 0 | 0.6 | 293 (134–788) | 47 (38–60) | 105 (102–131) | 7 (4–11) | 14 (6–25) | 10 (5–16) | 11 (4–40) | 25.1 | 24.8 | |
| p-value | 0.00 | 0.8 | < 0.01 | 0.1 | < 0.01 | N/A | 0.01 | 0.03 | 0.8 | < 0.01 | 0.3 | 0.01 | ||||
| USA | Pre COVID-19 | 67 (56–78) | 47.3 | 83.9 | 5.1 | 7 | 4.1 | 608 (210–1702) | 48.5 (35.5–71) | 74.5 (58–112.5) | 5 (3–10) | 4 (1–13) | - | - | 38 | - |
| During COVID-19 | 66 (55–77) | 55.9 | 84.3 | 2.4 | 9 | 4.3 | 871 (294–2232) | 52 (38–78) | 94 (52–130) | 5 (2–10) | 4 (1–15) | - | - | 32.7 | - | |
| p-value | 0.5 | < 0.01 | 0.07 | < 0.01 | 0.5 | 0.9 | 0.3 | 0.8 | N/A | N/A | 0.05 | N/A | ||||
| Egypt | Pre COVID-19 | 63 (55–70) | 60.6 | 82.2 | 15.8 | 0.6 | 1.4 | 600 (300–1440) | 30 (30–30) | - | - | 6 (3–10) | 5 (3–8) | 4 (2–6) | 41.3 | 56.9 |
| During COVID-19 | 65 (57–71) | 61.3 | 72.5 | 25.3 | 0.8 | 1.4 | 360 (150–960) | 30 (30–45) | - | - | 7 (4–11) | 6 (3–10) | 4 (2–8) | 34.4 | 49.8 | |
| p-value | < 0.01 | 0.8 | < 0.01 | < 0.01 | 0.01 | - | - | < 0.01 | < 0.01 | < 0.01 | 0.03 | 0.02 | ||||
| Poland | Pre COVID-19 | 73 (68–79) | 60.7 | 72.5 | 22.2 | 0.6 | 4.8 | 265 (130–347.5) | 40 (30–45) | 170 (160–185) | 10 (9–12) | 12 (11–13) | 8 (6–11) | 6 (3–7) | 32 | 35.1 |
| During COVID-19 | 73 (68–78) | 55.6 | 74.4 | 20.6 | 4.9 | 255 (130–340) | 40 (30–45) | 180 (167–191) | 10 (9–11) | 12 (11–14) | 8 (6–12) | 6 (3–7) | 28.9 | 29.7 | ||
| p-value | 1 | 0.3 | 0.7 | 0.9 | 0.9 | 0.2 | 0.6 | 0.4 | 0.4 | 0.8 | 0.4 | 0.2 | ||||
| Chile | Pre COVID-19 | 75 (61–83) | 56 | 59 | 29.9 | 6.7 | 4.5 | 186 (56.5–908.5) | 36 (25–56) | 84 (70–120) | 4 (3–8) | 3 (1–7) | 2 (1–5) | 1 (0–3) | 58.1 | 69.1 |
| During COVID-19 | 73 (62–82) | 58 | 59.4 | 24.6 | 5.8 | 10.1 | 195.5 (85.7–803) | 38 (26–60.5) | 108 (77–139) | 3 (2–6) | 3 (1–10) | 3 (0–7) | 0 (0–3) | 58.1 | 64.3 | |
| p-value | 0.8 | 0.7 | 0.3 | 0.4 | 0.9 | 0.2 | < 0.01 | 0.8 | 0.5 | 0.2 | 1 | 0.4 | ||||
| Colombia | Pre COVID-19 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| During COVID-19 | 72 (62–81) | 50.4 | 75.4 | 10.4 | 9.2 | 5 | 274 (152–681) | 65 (47.5–84) | 127.5 (103–231) | 4 (2–8.8) | 6 (2–15.8) | 5 (1–16) | 2 (0.8–7) | 43.8 | 51.8 | |
| p-value | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | ||||
| Bangladesh | Pre COVID-19 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| During COVID-19 | 56 (50–63) | 54.8 | 73.8 | 26.2 | 0 | 0 | 360 (180–480) | 130 (120–180) | - | 7 (5–8) | 16 (15–18) | 12 (12–15) | 10 (8–10) | 0 | 0 | |
| p-value | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | ||||
| Paraguay | Pre COVID-19 | 67 (59–76) | 67.3 | 90.9 | 5.5 | 3.6 | 0 | 720 (300–2880) | - | - | 11 (8–14) | 7 (3–10) | 6 (2–10) | 5 (2–10) | 18.2 | - |
| During COVID-19 | 69 (61–76) | 69.4 | 72.6 | 27.4 | 0 | 0 | 360 (204–1440) | 45 (30–60) | - | 13 (9–17) | 7.5 (4–15) | 6.5 (3–13.5) | 4.5 (2–10) | 37.1 | - | |
| p-value | 0.7 | 0.8 | < 0.01 | 0.02 | N/A | N/A | 0.05 | 0.3 | 0.5 | 0.5 | 0.02 | N/A | ||||
N/A, not appropriate; -, not available; mRS, favorable outcome < 2, *median (interquartile range); p value, between clinical characteristics of patients over the two time periods
Types of stroke pre- and during COVID-19 period
| Type of stroke | Pre-COVID-19 | During COVID-19 | |
|---|---|---|---|
| Ischemic | 87.7% | 84.5% | 0.01 |
| TIA | 0.6% | 0.8% | |
| Intracerebral hemorrhage | 8.5% | 11.2% | |
| Subarachionid Hemorrhage | 3.1% | 3.5% |
TIA transient ischemic attack