Electronic Theses and Dissertation

ABSTRAK

Perawatan intensif di ICU memiliki persentase mortalitas yang cukup tinggi di seluruh dunia mulai dari 9-61%. Analisis data menggunakan parameter klinis berguna untuk memprediksi mortalitas, sehingga dapat diberikan tatalaksana dini sehingga dapat menurunkan mortalitas. Mortality probability model (MPM) merupakan model statistik untuk memprediksi mortalitas pada pasien ICU berdasarkan berbagai variabel klinis tertentu. Penelitian ini bertujuan untuk mengetahui kemaknaan MPM sebagai prediktor mortalitas pada perawatan intensif. Penelitian ini merupakan studi diagnostik. Seluruh data dilakukan uji Chi-Squared dengan alternatif Fisher test. Perbedaan persentasi MPM II terhadap mortalitas diuji menggunakan independent sample t-test dengan uji alternatif Mann Whitney U test. Total 255 pasien menjadi subjek penelitian. Sebanyak 55 subjek yang meninggal menunjukkan skor MPM II >50% dengan sensitifitas 67,9%, spesifisitas 90,23%, nilai duga positif 76,39%, nilai duga negatif 86,7% dan akurasi 83,14%. Berdasarkan analisis ROC, diketahui AUC sebesar 0,891. Penelitian ini menyimpulkan bahwa skor MPM II menunjukkan nilai akurasi sebesar 83,14%.

Kata kunci : mortalitas, ICU, MPM II

ABSTRACT Intensive care in ICUs has a fairly high mortality percentage worldwide ranging from 9-61%. Data analysis using clinical parameters is useful for predicting mortality, so that early management can be provided so that mortality can be reduced. The mortality probability model (MPM) is a statistical model to predict mortality in ICU patients based on various specific clinical variables. This study aims to determine the significance of MPM as a predictor of mortality in intensive care. This study is a diagnostic study. All data were carried out by Chi-Squared test with an alternative Fisher test. The difference in the percentage of MPM II to mortality was tested using an independent sample t-test with the Mann Whitney U test. A total of 255 patients were the subjects of the study. A total of 55 subjects who died showed an MPM II score of >50% with sensitivity of 67.9%, specificity of 90.23%, positive presumption value of 76.39%, negative presumption value of 86.7% and accuracy of 83.14%. Based on ROC analysis, it is known that the AUC is 0.891. This study concluded that the MPM II score showed an accuracy value of 83.14%. Keywords : mortality, ICU, MPM IIABSTRACT Intensive care in ICUs has a fairly high mortality percentage worldwide ranging from 9-61%. Data analysis using clinical parameters is useful for predicting mortality, so that early management can be provided so that mortality can be reduced. The mortality probability model (MPM) is a statistical model to predict mortality in ICU patients based on various specific clinical variables. This study aims to determine the significance of MPM as a predictor of mortality in intensive care. This study is a diagnostic study. All data were carried out by Chi-Squared test with an alternative Fisher test. The difference in the percentage of MPM II to mortality was tested using an independent sample t-test with the Mann Whitney U test. A total of 255 patients were the subjects of the study. A total of 55 subjects who died showed an MPM II score of >50% with sensitivity of 67.9%, specificity of 90.23%, positive presumption value of 76.39%, negative presumption value of 86.7% and accuracy of 83.14%. Based on ROC analysis, it is known that the AUC is 0.891. This study concluded that the MPM II score showed an accuracy value of 83.14%. Keywords : mortality, ICU, MPM II