Potential candidacy for thrombolysis among ischemic stroke patients presenting to Khyber Teaching Hospital, Peshawar
Bibliographic record
Abstract
Objectives: To determine the number of ischemic stroke patients presenting to a tertiary care hospital that are potential candidates for thrombolysis. Methods: This need analysis study was conducted on one hundred consecutive ischemic stroke patients during the last quarter of 2022 at the Department of Medicine, Khyber Teaching Hospital, Peshawar. The Arrival National Institute of Health Stroke Scale (NIH Stroke Scale) was calculated for all suspected stroke patients after a detailed history and clinical examination. An urgent non-contrast-enhanced CT scan brain was carried out. Patients were included in the study group after intra-cranial bleed was excluded on imaging. Results: The majority (43%) of the patients (male and female) fell in the age group 51-60 years. Fifty-nine (59%) patients had hypertension as a co-morbid condition; 49% had diabetes mellitus while the remaining percentages were constituted by other risk factors. Fifty-seven (57%) patients presented with NIH Stroke Scale between 5-15; 25% had NIH Stroke Scale greater than or equal to 21. Forty-one (41%) patients having daytime (8 am to 8 pm) strokes presented within 4.5 hours of stroke onset to the hospital while 31% of patients having nighttime strokes (8 pm to 8 am) presented within 4.5 hours of stroke onset to the hospital. Conclusion: The majority (72%) of ischemic stroke patients reached the hospital facility within 4.5 hours of stroke onset. These patients can be benefited from thrombolysis leading to improved outcomes if available in that particular health facility. doi: https://doi.org/10.12669/pjms.40.1.7717 How to cite this: Badshah A, Haider I, Atif D, Taimoor M. Potential candidacy for thrombolysis among ischemic stroke patients presenting to Khyber Teaching Hospital, Peshawar. Pak J Med Sci. 2024;40(1):60-63. doi: https://doi.org/10.12669/pjms.40.1.7717 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".