The Influence of Neurological Rehabilitation on Patients’ Quality of Life After Ischemic Stroke: A Prospective Study in Romania
Bibliographic record
Abstract
Background: Stroke is a public health problem in Romania, with important medical, social and financial implications, and sustained efforts are being made to improve post-stroke rehabilitation phase. A significant concern nowadays is the patient’s quality of life (QOL); a successful stroke recovery therapy implies the increasing of QOL index. However, there are very few studies evaluating patients’ QOL after stroke in Romania. In this context, the aim of this study was to evaluate the benefits that 1-year rehabilitation therapy brings to a patient with a history of ischemic stroke, highlighting the factors that influence the QOL index. Methods: A prospective study was conducted in which the QOL (calculated using the stroke-specific QOL (SSQOL) questionnaire) was measured in a group of 40 patients who had suffered an ischemic stroke in the left middle cerebral artery territory and benefited from rehabilitation therapy for 1 year. Patients admitted in our Neurology Department between January 2018 and June 2019 were divided into several subgroups according to age, gender, domicile, educational level, familial support and comorbidities. Statistical data were processed in SPSS v.20. Results: Among the individual factors studied, young age (under 60) showed a positive impact on QOL improvement after 1 year of stroke rehabilitation therapy (P = 0.005). This was explained by the young patient’s profile, with urban domicile (55% vs. 45%), higher educational level (60% vs. 40%) and family support. The best recovered functions as noted by the questionnaire were language (18.25 ± 4.95; P = 0.015), upper motor functions (21.50 ± 2.70; P = 0.039), personality (12 ± 0.81; P = 0.032) and family roles (11.53 ± 1.81; P = 0.007). On the other hand, patient’s gender (male 155.55 ± 31.21 vs. female 152.94 ± 28.14) did not influence the outcome of the therapy (P = 0.267). Conclusion: Stroke rehabilitation treatment is an essential component for improving the QOL of the patient after stroke; it has become topic of concern in the literature nowadays. This work complements the existing data on this topic for stroke patients in Romania. J Neurol Res. 2020;10(3):80-90 doi: https://doi.org/10.14740/jnr596
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".