| Literature DB >> 34804500 |
Binod Bhattarai1, Shashi Bhushan Sah1.
Abstract
BACKGROUND: Stroke is a significant global health hazard that ripples continuum multi-spectral effects to the patients as well their caretakers.Entities:
Keywords: Recurrent; outcome; patterns; stroke
Mesh:
Year: 2021 PMID: 34804500 PMCID: PMC8581597 DOI: 10.12688/f1000research.54981.1
Source DB: PubMed Journal: F1000Res ISSN: 2046-1402
Summary of pertinent findings in our study.
| Variables | Frequency |
|---|---|
| Male: Female | 1.54:1 |
| Mean Age (years) | Male-67.65 ±10.39
|
| Medical Compliance | 18 (64.28%) |
| Smoking Status | 10(35.71%) |
| Alcohol Intake | 18(64.28%) |
| Mean Motor Score at Presentation | 1.46 ±0.63 |
|
| |
| Hemorrhagic-Hemorrhagic | 14(50%) |
| Ischemic-Hemorrhagic | 12 (42.85%) |
| Ischemic -Ischemic | 2 (7.14%) |
|
| |
| Cortical-Cortical | 11 ±0.67 (39.28%) |
| Cortical –Basal Ganglion | 2 ±0 (7.14%) |
| Basal Ganglion-Basal Ganglion | 9 ±0.72 (32.14%) |
| Basal Ganglion-Thalamic | 3 ±0.57 (10.71%) |
| Thalamic-Thalamic | 2 ±0.63 (7.14%) |
| Cortical-Thalamic | 1 ±0 (3.57%) |
|
| |
| Surgical | 5 (17.85%) |
| Medical | 12 (42.85%) |
| Leave Against Medical Advice | 11 (39.28%) |
Figure 1. The receiver operating curve (ROC) of the variables governing mode of management.
Figure 2. The receiver operating curve (ROC) of the variables governing leave against medical advice.
ANOVA analysis of variables governing mode of management.
| Sum of
| df | Mean
| F | Sig. | ||
|---|---|---|---|---|---|---|
| Motor | Between Groups | 5.200 | 1 | 5.200 | 23.451 | .000 |
| Within Groups | 5.765 | 26 | .222 | |||
| Total | 10.964 | 27 | ||||
| Territory | Between Groups | 24.614 | 1 | 24.614 | 10.655 | .003 |
| Within Groups | 60.064 | 26 | 2.310 | |||
| Total | 84.679 | 27 | ||||
| Ictus event | Between Groups | .037 | 1 | .037 | .140 | .712 |
| Within Groups | 6.963 | 26 | .268 | |||
| Total | 7.000 | 27 |
ANOVA analysis of variables governing leave against medical advice.
| Sum of
| df | Mean
| F | Sig. | ||
|---|---|---|---|---|---|---|
| Motor | Between Groups | 5.200 | 1 | 5.200 | 23.451 | .000 |
| Within Groups | 5.765 | 26 | .222 | |||
| Total | 10.964 | 27 | ||||
| Territory | Between Groups | 24.614 | 1 | 24.614 | 10.655 | .003 |
| Within Groups | 60.064 | 26 | 2.310 | |||
| Total | 84.679 | 27 | ||||
| Ictus event | Between Groups | .037 | 1 | .037 | .140 | .712 |
| Within Groups | 6.963 | 26 | .268 | |||
| Total | 7.000 | 27 | ||||
| Age | Between Groups | 2.228 | 1 | 2.228 | .015 | .903 |
| Within Groups | 3803.487 | 26 | 146.288 | |||
| Total | 3805.714 | 27 | ||||
| Sex | Between Groups | 1.074 | 1 | 1.074 | 4.984 | .034 |
| Within Groups | 5.604 | 26 | .216 | |||
| Total | 6.679 | 27 |
Multivariate analysis of variables governing mode of management.
| Source | Dependent
| Type III Sum
| df | Mean
| F | Sig. |
|---|---|---|---|---|---|---|
| Corrected Model | Age | 8.502 a | 2 | 4.251 | .028 | .972 |
| Sex | 1.083 b | 2 | .542 | 2.420 | .109 | |
| Motor | 5.248 c | 2 | 2.624 | 11.474 | .000 | |
| Territory | 26.030 d | 2 | 13.015 | 5.548 | .010 | |
| Management | Age | 8.502 | 2 | 4.251 | .028 | .972 |
| Sex | 1.083 | 2 | .542 | 2.420 | .109 | |
| Motor | 5.248 | 2 | 2.624 | 11.474 | .000 | |
| Territory | 26.030 | 2 | 13.015 | 5.548 | .010 |
Multivariate analysis of variables governing leave against medical advice.
| Source | Dependent
| Type III Sum
| df | Mean
| F | Sig. |
|---|---|---|---|---|---|---|
| Corrected Model | Age | 2.228 a | 1 | 2.228 | .015 | .903 |
| Sex | 1.074 b | 1 | 1.074 | 4.984 | .034 | |
| Motor | 5.200 c | 1 | 5.200 | 23.451 | .000 | |
| Territory | 24.614 d | 1 | 24.614 | 10.655 | .003 | |
| LAMA | Age | 2.228 | 1 | 2.228 | .015 | .903 |
| Sex | 1.074 | 1 | 1.074 | 4.984 | .034 | |
| Motor | 5.200 | 1 | 5.200 | 23.451 | .000 | |
| Territory | 24.614 | 1 | 24.614 | 10.655 | .003 |