<![CDATA[Penerapan sistem jaminan kesehatan nasional (SJKN) dalam pelayanan di ruang terapi intensif (RTI) mendorong pelayanan di RTI untuk lebih efektif dan efisien. Prediksi hasil perawatan penting baik secara administrasi ataupun klinis dalam manajemen RTI. Pasien non-bedah meskipun jumlahnya tidak banyak, namun memiliki angka mortalitas yang tinggi. Untuk mendapatkan sistem skoring yang baik dan mudah diterapkan dilakukan penilaian missing value, dan diskriminasi dari masing masing sistem skoring. Penelitian ini melibatkan 184 pasien non-bedah yang dirawat di RTI RSUP Sanglah Denpasar yang diambil secara retrospektif dari data tanggal 1 Januari 2014 sampai dengan 31 Desember 2014. Semua pasien dilakukan penilaian APACHE II, SOFA, dan CSOFA. Uji analisis regresi logistik dilakukan untuk menilai pengaruh masing masing sub-variabel terhadap mortalitas, dan selanjutnya mencari cut off point dari analisis kurva ROC untuk mendapatkan sensitivitas dan spesifisitas masing masing. Area under receiver operating characteristic (AuROC) pada acute physiological and chronic health evaluation II (APACHE II), sequential organ failure assessment (SOFA), dan customized sequential organ failure assessment (CSOFA) berturut turut didapatkan 0,892, 0,919, dan 0,9172. Missing value terbanyak didapatkan berturut turut pada SOFA, APACHE II, dan CSOFA sebesar 84,23%, 8,15%, dan 1,65%, dengan dominan sub-variabel hepar (bilirubin). Uji regresi logistik memperlihatkan sub-variabel neurologi, dan kardiovaskular memberikan hubungan bermakna terhadap mortalitas dengan RO 4,58, dan 2,24. Sub-variabel lain yang berpengaruh antara lain acute kidney injury (AKI), sepsis, dan penyakit kronis dengan RO 8,14, dan 3,89. Sistem skoring CSOFA lebih valid dalam memperkirakan mortalitas pasien di RTI RSUP Sanglah Denpasar, karena mempunyai nilai diskriminasi yang lebih baik dan missing value yang lebih sedikit dibandingkan dengan sistem skoring APACHE II dan SOFA. [MEDICINA 2015;46:145-51].Application of sistem jaminan kesehatan nasional (SJKN) in intensive care unit (ICU) service encourages ICU services for being more effective and efficient. Prediction of mortality is important either for administration or clinical in ICU management. Even non-surgical patient population is not large, but it has high mortality rate. To gain good and easy to used scoring system, we assessed missing value, and discrimination for all scoring system. This research enrolled 184 non-surgical patients in ICU of Sanglah Hospital restrospectively started from 1 st january to 31 december 2014. All patient assessed by acute physiological and chronic health evaluation II (APACHE II), sequential organ failure assessment (SOFA), and customized sequential organ failure assessment (CSOFA). Analytic logistic regression test was used to determine each sub-variable correlation with mortality, and then to gain cut off point of ROC analytical curve to get sensitivity and specificity. Area under receiver operating characteristic (AuROC) for APACHE, SOFA, and CSOFA were 0.892, 0.919, and 0.9172 consecutively. The missing value for SOFA, APACHE II, and CSOFA is 84.23%, 8.15%, dan 1.65%, which was dominated by bilirubin parameter. Logistic regression analysis shows sub-variable neurology, and cardiovascular respiration gave significant correlation with mortality with OR 4.58 and 2.24. Other significant subvariable were AKI and sepsis with OR 8.14 and 3.89. Customized sequential organ failure assessment scoring system is more valid than APACHE II and SOFA to predict mortality, because it had better discrimination value and less missing value. [MEDICINA 2015;46:145-51].]]>
