Sinambela, AndreTP (2012) Perbandingan Nilai Diagnostik Algoritma Stroke Gajah Mada Dibandingkan dengan Skor Stroke Siriraj dalam Mendiagnosis Jenis Patologi Stroke. Magister thesis, Universitas Brawijaya.
Abstract
Tujuan : Penegakkan diagnosis antara stroke perdarahan dan iskemik merupakan hal yang sa-ngat penting dalam tatalaksana stroke. Untuk itu, saat ini telah dipergunakan skor stroke di derah-daerah dengan keterbatasan sumberdaya dimana tidak tersedia pemeriksaan CT scan. penelitian ini bertujuan untuk mengkaji perbandingan nilai diagnostik dari Algoritma Stroke Gajah Mada dan Skor Stroke Siriraj dalam mendiagnosis jenis patologi stroke . Metoda: Penelitian dilakukan dengan menilai skor stroke secara consecutive terhadap pasien-pasien stroke lalu hasilnya dibandingkan dengan CT scan sehingga diperoleh hasil sensitifitas, spesifisitas, nilai duga positif, dan rasio kemungkinan positif. Hasil: Penelitian dilakukan terhadap 119 pasien stroke dengan 46 stroke perdarahan intraserebral dengan umur rata-rata 54,8 tahun dan 73 pasien dengan stroke infark, dengan umur rata-rata 59,5 tahun. ASGM memiliki sensitifitas, spesifisitas, NDP, NDN, dan OR untuk mendiagnosis PIS sebesar 89,13%, 84,93%, 78,85%, 92,54%, dan 46,218. dan SSS sebesar 86,96%., 64,38%, 60,61%, 88,68%, 12,051. Kesimpulan: ASGM merupakan alat diagnostik yang valid dibandingkan dengan SSS dalam mendiagnosis jenis patologi stroke bagi daerah-daerah dengan sumberdaya yang terbatas dimana tidak tersedia fasilitas pemeriksaan CT scan.
English Abstract
Objective: distinction between hemorrhagic and ischemic stroke has critical implications for management. For that purpose, clinical scores have been proposed to be used in areas with limited health care resources where brain computed tomographic CT scan is not readily available. We conducted this study to evaluate diagnostic value of Gajah Mada Stroke Algorhytm and Siriraj stroke scores in differential diagnosis of stroke subtypes. Methods : We assessed stroke scores of pathologic stroke type in consecutive patients with stroke over 5 months. We calculated accuracy of scores and compared with computed tomography brain scan (sensitivity, specificity, positive, predictive value, likelihood ratio ). Results: study was conducted on 119 stroke patients with intracerebral hemorrhage stroke 46 with an average age of 54.8 years and 73 patients with infarction stroke, with an average age of 59.5 years. ASGM has sensitivity, specificity, PPV, NPV, and OR for diagnosis of PIS at 89.13%, 84.93%, 78.85%, 92.54%, and 46.218. and by 86.96% and SSS., 64.38%, 60.61%, 88.68%, 12.051, respectively. Conclusion : Gajah Mada Stroke Algorhitm is a valid and useful tool for predicting stroke subtype in a clinical setting in which financial constraints make systematic brain CT scan unfeasible.
| Item Type: | Thesis (Magister) |
|---|---|
| Identification Number: | TES/616.81/SIN/p/041204094 |
| Subjects: | 600 Technology (Applied sciences) > 616 Diseases > 616.8 Diseases of nervous system and mental disorders |
| Divisions: | Profesi Kedokteran > Spesialis THT Kepala dan Leher, Fakultas Kedokteran |
| Depositing User: | Endro Setyobudi |
| Date Deposited: | 19 Dec 2012 10:26 |
| Last Modified: | 19 Dec 2012 10:26 |
| URI: | http://repository.ub.ac.id/id/eprint/158432 |
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