Doctor of FKM UI Researches: Siloam Scoring Model Predicts Length of Stay and Mortality in ICU Siloam Hospital Lippo Village

On Saturday, July 16, 2022, the Faculty of Public Health (FPH) Universitas Indonesia (UI) held an open session for the Promotion of Doctor of Epidemiology with promovendus Veli Sungono, S.K.M, M.Sc., online. Veli defended his dissertation entitled “Siloam Scoring Model for Predicting Length of Stay and Mortality in the ICU of Siloam Hospital Lippo Village.” The session was chaired by Prof. dr. Asri C. Adisasmita, M.P.H., M.Phil., Ph.D., with promoter Prof. dr. Mondastri Korib Sudaryo, M.S., D.Sc., and the co-promoter consisting of Dr. dr. Tri Edhi Budhi Soesilo, M.Sc., and Dr. dr. Hori Hariyanto, Sp.An., KIC, KMN. Meanwhile, the testing team consisted of dr. Syahrizal Syarif, M.P.H., Ph.D.; Dr. dr. Antonia Lukito, SpJP(K), FIHA, FAPSIC, FasCC, FSCAI.; Dr. dr. Allen Widysanto, SpP., CTTS., and Dr. dr. Vivien Puspitasari, Sp.S.

Through his dissertation, Veli created an innovative new scoring model to predict the length of stay and mortality in Intensive Care Unit (ICU) patients at Siloam Lippo Village Hospital. This model was later named the “Siloam Model.” This model is considered more relevant for implementation in the ICU because it is simpler, uses essential variables, and clinically has an influence on predicting length of stay and mortality. This study is based on the idea that severity can be measured from physiological abnormalities that can be predicted through a scoring system that will assist the ICU team in assessing it objectively. The results of the Siloam model discriminant test showed satisfactory results.

Veli analyzed to find the most evident vital signs and laboratory test results on the length of stay and mortality of ICU patients with the support of clinical theory and statistics. Then, Siloam scoring is used to predict ICU patient length of stay and mortality. As a result, the variables that most influence the length of stay are age, respiratory rate (RR), sodium, and the Glasgow Coma Scale (GCS; level of consciousness of ICU patients). Meanwhile, the variables most influencing mortality prediction are mean arterial blood pressure, heart rate, RR, blood pH, sodium, and GCS.

Given the novelty of the Siloam inj scoring model, further validation and research are needed at both the Siloam Lippo Village Hospital and other branch hospitals. Evaluations are also needed from other institutions nationally to generalize this model. In addition, further research is also needed, especially for variables that have a strong influence on mortality and length of stay in ICU patients. Veli’s research can help doctors who treat ICU patients to be able to identify critical patients earlier who have a high risk of dying with the detection of this scoring model.

Based on the results of his dissertation, Veli Sungono, S.K.M, M.Sc., successfully passed and became a Doctor in Epidemiology with a Very Satisfactory graduation. Veli is an exceptional graduate of the Doctoral Epidemiology study program because he majored in Clinical Epidemiology which fellow Specialist Doctors usually occupy. Veli is the 97th Ph.D. graduate of Epidemiology, the 347th Ph.D. graduate of FKM UI and the 6th Ph.D. graduate of Epidemiology in 2022. (BK)