| Literature DB >> 32997605 |
Solveig Dahl1, Clara Hjalmarsson2, Björn Andersson1.
Abstract
OBJECTIVES: Stroke is a major cause of long-term disability and death worldwide. Several studies have shown that women in general have more severe symptoms at arrival to hospital and are less likely to return home and independent living. Our aim with the present study was to update previous results concerning sex differences in baseline characteristics, stroke management, and outcome in a population study from Sahlgrenska University Hospital, Gothenburg, Sweden.Entities:
Keywords: differences; prognosis; sex; stroke; treatment
Mesh:
Year: 2020 PMID: 32997605 PMCID: PMC7533936 DOI: 10.1177/1745506520952039
Source DB: PubMed Journal: Womens Health (Lond) ISSN: 1745-5057
Baseline characteristics before stroke.
| Variable | Males | Females | p-value[ |
|---|---|---|---|
| Age, y (mean ± SD) | 72 (13) | 78 (13) |
|
| Sex, n (%) | 775 (53.3) | 678 (46.7) |
|
| Living at home, n (%) | 702 (91.3) | 593 (87.7) | 0.03 |
| Living alone, n (%) | 324 (42.3) | 455 (67.7) |
|
| mRS 0–2, n (%) | 678 (90.0) | 519 (78.5) |
|
| Previous stroke, n (%) | 200 (26.2) | 140 (20.9) | 0.02 |
| Atrial fibrillation, n (%) | 159 (20.7) | 148 (22.1) | 0.56 |
| Diabetes, n (%) | 181 (23.5) | 102 (15.2) |
|
| Hypertension, n (%) | 419 (54.8) | 381 (57) | 0.39 |
| Smokers, n (%) | 111 (16.0) | 79 (13.4) | 0.21 |
y: years; SD: standard deviation; mRS: modified Rankin Scale.
Sample size for each variable may differ due to missing data in some patients.
Non-parametric tests were used for comparing continuous variables, while chi-square test was used for discrete variables.
In-hospital care.
| Variable | Men | Women | p-value[ |
|---|---|---|---|
| N= | 775 (53.3) | 678 |
|
| Intracerebral hemorrhagia, n (%) |
|
|
|
| Ischemic stroke |
|
|
|
| Time to hospital | |||
| Arrival, hrs (mean, SD) | 9 (19) | 7 (12) | 0.86 |
| NIHSS, scores (mean, SD) | 5 (6) | 6 (7) | 0.17 |
| Unconscious at arrival, n (%) | 120 (15.9) | 125 (18.7) | 0.16 |
| Stroke unit care, n (%) | 702 (91.3) | 593 (87.7) | 0.03 |
| Thrombolysis, n (%) | 55 (8.4) | 49 (8.7) | 0.92 |
| Thrombectomy, n (%) | 32 (4.9) | 29 (5.1) | 0.90 |
| MRT, n (%) | 184 (23.9) | 109 (16.2) |
|
| CT, n (%) | 753 (97.8) | 664 (98.2) | 0.58 |
| Carotid ultrasound, n (%) | 331 (44.0) | 242 (36.7) | 0.01 |
| Holter monitoring, n (%) | 546 (74.2) | 428 (66.9) | 0.00 |
| Case fatality 27 days, n (%) | 66 (9.7) | 84 (14.0) | 0.02 |
| Discharge to home, n (%) | 477 (69.7) | 368 (62.3) | 0.01 |
| Discharge to a rehabilitation | 52 (7.6) | 44 (7.4) | 1.00 |
| Clinic, n (%) | |||
| Discharge to municipal institution, n (%) | 123 (18.0) | 162 (27.4) |
|
SD: standard deviation; hrs: hours; NIHSS: National Institute of Health Stroke Scale; MRT: magnetic resonance tomography; CT: computed tomography.
Sample size for each variable may differ due to missing data in some patients. Patients discharged to other hospital or other department are not included (male = 40 (4.7), women = 17 (2.9).
In 13 patients, stroke etiology was unknown.
Non-parametric tests were used for comparing mean values of continuous variables, while chi-square test was used for discrete variables.
Drugs at hospital admittance and at discharge.
| Variable | Before stroke | p-value[ | At discharge | p-value[ | ||
|---|---|---|---|---|---|---|
| Men | Women | Men | Women | |||
| Lipid lowering drugs, n (%) | 243 (32.1) | 142 (21.5) |
| 485 (63.0) | 362 (53.9) | 0.00 |
| Aspirin, n (%) | 217 (28.7) | 178 (27.0) | 0.48 | 160 (23.1) | 96 (16.3) | 0.00 |
| Clopidogrel, n (%) | 59 (7.8) | 40 (6.0) | 0.21 | 343 (44.7) | 285 (42.4) | 0.40 |
| Warfarin (AF and IS), n (%) | 43 (32.8) | 30 (24.2) | 0.17 | 29 (26.1) | 19 (18.3) | 0.19 |
| NOAC (AF and IS), n (%) | 12 (9.2) | 7 (5.6) | 0.34 | 47 (43.1) | 48 (47.1) | 0.58 |
AF: atrial fibrillation; IS: ischemic stroke; NOAC: non-vitamin K oral anticoagulants.
Sample size for each variable may differ due to missing data in some patients.
Chi-square test was used for discrete variables.
Three-months follow-up.
| Variable | Men | Women | p-value[ |
|---|---|---|---|
| mRS (0–2), n (%) | 386 (69.8) | 249 (54.2) | |
| Depression, n (%) | 319 (59.3) | 309 (71.5) | |
| Treatment for depression, n (%) | 132 (24.5) | 111 (25.6) | 0.71 |
| Fatigue, n (%) | 470 (84.4) | 409 (91.1) | 0.00 |
| Living alone, n (%) | 206 (37.7) | 254 (57.7) |
|
| Living at home, n (%) | 473 (84.6) | 361 (79.2) | 0.03 |
| Case fatality 90 dy, n (%) | 95 (14.2) | 117 (19.9) | 0.01 |
mRS: modified Rankin Scale; dy: days.
Sample size for each variable may differ due to missing data in some patients.
Chi-square test was used for discrete variables.
Binary logistic regression analysis showing the relationship between female sex and explanatory variables.
| Variables | OR (CI) | p value |
|---|---|---|
| mRS before stroke | 2.05 (1.46–2.87) |
|
| Stroke unit | 1.44 (0.94–2.20) | 0.09 |
| mRS at 3-months follow-up | 1.50 (1.05–2.14) | 0.03 |
| Depression at 3-months follow-up | 1.67 (1.23–2.27) | 0.00 |
| Fatigue at 3-months follow-up | 1.71 (1.14–2.58) | 0.01 |
| Mortality at 27 days | 0.71 (0.35–1.46) | 0.35 |
| Mortality at 90 days | 1.07 (0.61–1.85) | 0.82 |
OR: odds ratio; CI: confidence interval; mRS: modified Rankin Scale (0–2 = independent in daily life; 3–5 = increasing disability, from unable to walk independently to entirely bedridden); NIHSS: National Institute of Health Stroke Scale; AF: atrial fibrillation.
Binary logistic regression adjusted for age, NIHSS at admittance, consciousness, AF, diabetes, a history of previous stroke, pre-stroke mRS, mRS at 3-months follow-up, living alone at 3-months follow-up, and post-stroke depression.
Sample size for each variable may differ due to missing data in some patients.