| Literature DB >> 34368489 |
Joana Teles1, Joana Martinez1, Maria Mouzinho1, Patrícia Guilherme2, Ana Marreiros1,3, Hipólito Nzwalo1,3.
Abstract
INTRODUCTION: the prognosis of spontaneous intracerebral hemorrhage (SICH) remains poor. Understanding gender differences can clarify the clinico-epidemiological and process of care related factors that influence SICH prognosis. We analyzed the long-term gender differences of mortality after SICH in Algarve, southern Portugal. PATIENTS AND METHODS: analysis of consecutive community representative of SICH survivors (2009-2015). Logistic regression analysis and Kaplan-Meier method was used to assess gender differences on 1-year mortality and survival. We further analyzed if differences exist between 4 age and gender based subgroups (women <75 years, women ≥75 years, men <75 years, men ≥75 years).Entities:
Keywords: gender; intracerebral hemorrhage; long-term mortality; stroke
Year: 2021 PMID: 34368489 PMCID: PMC8341340 DOI: 10.1097/j.pbj.0000000000000137
Source DB: PubMed Journal: Porto Biomed J ISSN: 2444-8664
Gender based comparison of baseline demographics, clinical, imaging and process of care characteristics among 30-days survivors of spontaneous intracerebral hemorrhage in Algarve
| Male (n = 189) | Female (n = 96) | ||
|---|---|---|---|
| Age group, n (%) | .110 | ||
| <75 | 119 (63.0%) | 51 (53.1%) | |
| ≥75 | 70 (37.0%) | 45 (46.9%) | |
| Prior to ICH characteristics, n (%) | |||
| Number of previous hospitalizations ≥2, n (%) | 30 (15.9%) | 13 (13.5%) | .603 |
| Diabetes | 50 (26.5%) | 27 (28.1%) | .776 |
| Alcohol abuse | 54 (28.6%) | 6 (6.3%) | |
| Social insertion income | 57 (30.60%) | 36 (37.50%) | .246 |
| Clinical and radiological admission characteristics, n (%) | |||
| ICH Score | .110 | ||
| 0 | 92 (48.7%) | 33 (34.7%) | |
| 1 | 68 (36.0%) | 42 (44.2%) | |
| 2 | 25 (13.2%) | 14 (14.7%) | |
| 3 | 4 (2.1%) | 4 (4.2%) | |
| 4 | 0 (0.0%) | 1 (1.1%) | |
| 5 | 0 (0.0%) | 1 (1.1%) | |
| Lobar SICH | 34 (18.0%) | 34 (35.4%) | |
| Admission delay ≤6 h, n (%) | 95 (50.3%) | 43 (46.2%) | .525 |
| Stroke Unit admission, n (%) | 152 (89.4) | 66 (68.8) | |
| Complications during hospitalization, n (%) | |||
| Pneumonia | 26 (13.8%) | 14 (14.6%) | .849 |
| Hyperactive delirium | 29 (37%) | 17 (17.7%) | .380 |
| Discharge modified Rankin scale, n (%) | |||
| <2 | 56 (9.6%) | 17 (17.7%) | |
| ≥3 | 133 (70.4%) | 79 (82.3%) | |
| Discharge destination, n (%) | .173 | ||
| Intensive rehabilitation | 52 (27.5%) | 19 (19.8%) | |
| Home | 56 (29.6%) | 38 (39.6%) | |
| Nursing/convalescence | 81 (42.9%) | 39 (40.6%) | |
Multivariate logistic analysis of factors associated with long-term mortality among intracerebral hemorrhage 30-day survivors (model 1)
| Unadjusted OR (95%CI) | Adjusted OR (95%CI) | |||
|---|---|---|---|---|
| Female gender | 1.30 (0.62–2.74) | .491 | 1.20 (0.80–2.32) | .965 |
| ≥75 yr | 4.63 (2.06–10.39) | <.001 | 3.58 (1.53–8.39) | |
| ≥2 hospitalizations prior to SICH | 1.96 (0.82–4.68) | .132 | 1.02 (0.37–2.83) | .969 |
| Lobar SICH | 1.21 (0.53–2.74) | .652 | 0.72 (0.29–1.81) | .486 |
| In-hospital pneumonia | 6.69 (2.33–15.66) | <.001 | 2.12 (1.17–7.33) | |
| Social Insertion income | 1.96 (0.82–4.7) | .132 | 2.52 (0.28–6.75) | .075 |
| Stroke Unit admission | 0.36 (0.17–0.78) | .009 | 0.34 (0.11–1.08) | .066 |
| Discharge mRS ≥3 | 5.36 (2.35–12.22) | .000 | 3.78 (1.41–10.08) | |
| Discharge destination | ||||
| Home | 1.000 (reference) | 1.000 (reference) | ||
| Nursing/convalescence | 3.35 (1.28–8.79) | .014 | 1.64 (0.52–5.15) | .397 |
| Intensive rehabilitation unit | 0.46 (0.14–1.58) | .219 | 0.32 (0.08–1.18) | .087 |
Multivariate logistic analysis of factors associated with long-term mortality among spontaneous intracerebral hemorrhage 30-day survivors (model 2)
| Unadjusted OR (95%CI) | Adjusted OR (95%CI) | |||
|---|---|---|---|---|
| Female gender | 1.30 (0.62–2.74) | .491 | 1.20 (0.80–2.32) | .965 |
| Age by gender | ||||
| Men <75 yr | 1.000 (reference) | 1.000 (reference) | ||
| Men ≥75 yr | 1.28 (0.44–3.71) | .649 | 1.86 (0.59–5.86) | .287 |
| Women <75 yr | (0.03–2.19) | .221 | 0.81 (0.31–2.12) | .671 |
| Women ≥75 yr | 2.76 (1.4–6.56) | .042 | 2.91 (1.23–8.1) | |
| ≥2 hospitalizations prior to SICH | 1.96 (0.82–4.68) | .132 | 1.05 (0.35–2.81) | .832 |
| In-hospital pneumonia | 6.69 (2.33–15.66) | <.001 | 1.99 (1.11–6.01) | |
| Stroke Unit admission | 0.36 (0.17–0.78) | .009 | 0.52 (0.21–1.26) | .147 |
| Discharge mRS ≥3 | 5.36 (2.35–12.22) | .000 | 3.21 (1.82–8.91) | |
| Discharge destination | ||||
| Home | 1.000 (reference) | 1.000 (reference) | ||
| Nursing/convalescence | 3.35 (1.28–8.79) | .014 | 1.62 (0.54–4.86) | .389 |
| Intensive rehabilitation unit | 0.46 (0.14–1.58) | .219 | 0.36 (0.1–1.29) | .116 |
mRS = modified Rankin scale; SICH = spontaneous intracerebral hemorrhage.
Figure 1Kaplan–Meier curves show survival after spontaneous intracerebral hemorrhage according to gender. There was no significant difference in the seizure event curves between treatment group (log-rank test P = .52).
Figure 2Kaplan–Meier curves show survival after spontaneous intracerebral hemorrhage according to age and gender subgroup. There was a significant difference in death curves between the group (log-rank test P < .001).