HUBUNGAN KADAR TROMBOSIT DENGAN ALBERTA STROKE PROGRAM EARLY CT SCORE (ASPECTS) PADA STROKE ISKEMIK AKUT: CORRELATION BETWEEN PLATELET COUNT AND ALBERTA STROKE PROGRAM EARLY CT SCORE (ASPECTS) IN ACUTE ISCHEMIC STROKE
Bibliographic record
Abstract
Latar belakang : Peningkatan kadar trombosit pada stroke iskemik akut mempengaruhi faktor koagulopati darah sehingga berdampak pada luasnya daerah iskemik. Tujuan : Penelitian ini bertujuan untuk mengetahui hubungan kadar trombosit dengan Alberta Stroke Program Early CT Score ( ASPECTS ) pada stroke iskemik akut. Metode : Penelitian ini bersifat deskriptif analitik dengan uji potong lintang. Pengambilan sampel memakai data sekunder di bagian neurologi RSUP Prof. Dr. R.D. Kandou, Manado periode Oktober -Desember 2017. Analisa data statistik memakai SPSS 22. Hasil : Hasil pada penelitian ini menunjukkan bahwa hasil uji Fisher Exact diperoleh tidak ada hubungan bermakna antara trombosit dengan ASPECTS ( p = 0,553 ). Faktor – faktor resiko lainnya seperti tekanan darah, kadar Low Density Lipoprotein (LDL), Gula Darah Sewaktu (GDS) dan kolesterol juga tidak didapatkan hubungan yang bermakna dengan nilai ASPECTS dengan nilai p > 0,05. Kesimpulan : Tidak terdapat hubungan yang signifikan antara kadar trombosit dengan Alberta Stroke Program Early CT Score (ASPECTS) pada stroke iskemik akut di RSUP Prof.Dr.R.D.Kandou, Manado. Kata kunci : ASPECTS, stroke iskemik akut, trombosit. ABSTRACT Introduction : The elevation of platelet count in acute ischemic stroke influencing the blood coagulation factors due to broadening ischemic area. Aim : This study aim to find the correlation of platelet count with Alberta Stroke Program Early CT Score (ASPECTS) in acute ischemic stroke. Methods : A descriptive – analysis cross sectional study was conducted in the Neurological Department of National Hospital Prof. R. D.Kandou Manado from October until December 2017 by using secondary data. Result : Based on Fisher Exact test, there is no correlation between Platelet count and ASPECTS ( p = 0,553 ), as well as other influence factor such as blood pressure, Low Density Lipoprotein (LDL), random blood sugar and cholesterol level ( p > 0,05 ). Discussion : This study found a no significant relationship between platelet count and ASPECTS of ischemic stroke in acute phase in RSUP.Prof.Dr.R.D.Kandou, Manado. Keywords: ASPECTS, acute ischemic stroke, platelet.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".