PERBANDINGAN ANTARA SKOR APFEL DAN SKOR KOIVURANTA TERHADAP PREDIKSI TERJADINYA MUAL DAN MUNTAH PASCA OPERASI PADA ANESTESI UMUM

• Main Authors: , Isnafianing Palupi, , Dr. I Gusti Ngurah Rai Artika, SpAn, KAKV, KAR.
• Format: Theses and Dissertations NonPeerReviewed
• Published: [Yogyakarta] : Universitas Gadjah Mada 2014
• Subjects: ETD
• Online Access: https://repository.ugm.ac.id/133515/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=74205
• Institution: Universitas Gadjah Mada

Background. PONV is one of the side effects that often occur after general anesthesia, occurs in the first 24 hours post surgery and occurs in as many as 30 - 70 % of hospitalized patients. PONV greatly avoided by most patients and anesthesiologists. Recent risk score for prediction of PONV has been used as a way to classify patients according to risk prediction and provide prophylaxis in accordance with this classification. For everyday clinical purposes, a simple risk score in easy to do and shows the correlation between the predicted incidence of PONV in patients hospitalized. In the clinical practice known various risk score for prediction of PONV as Apfel scores, Koivuranta scores, Sinclair scores, Palazzo scores, Gan scores, and Scholz scores varying accuracy. Objective. The main purpose of this study is to determine whether the scores Apfel more accurate than Koivuranta scores in predicting the occurrence of PONV in patients with general anesthesia. Methods. The research design was a cohort study with the total of 80 patients recruited. Data analysis is done by determining sensitivity, spesifisity, positive predictive value, negative predictive value, and ROC curve. Results. Apfel scores has sensitivity 78,1%, spesifisity 12,5%, positive predictive value 78,1% and negative predictive value 12,5%. ROC curve of Apfel scores has strength values 0,818. Koivuranta scores has sensitivity 91,7%, spesifisity 46,4%, positive predictive value 42,3% and negative predictive value 92,8%. ROC curve of Koivuranta scores has strength values 0,848. It means Koivuranta scores more accurate than Apfel scores with sensitivity ( 91,7% and 78,1% ), spesifisity ( 46,4% and 12,5% ), and strength values of ROC curve ( 0,848 dan 0,818 ) Koivuranta scores higher than Apfel scores. Conclusions. Koivuranta scores are more accurate than the Apfel scores in predicting the occurrence of PONV in patients with general anesthesia. Keywords : PONV, PONV predicting score, Apfel score, Koivuranta score, nausea, vomiting