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"ABSTRACTBackground: to identify other factors other than the TIMI scores that can be used as predictors of 30-day mortality in STEMI patients by including variables of left ventricle ejection fraction (LVEF) and glomerulus filtration rate (GFR) at Cipto Mangunkusumo National Central General Hospital. Methods: a retrospective cohort study was conducted in 487 STEMI patients who were hospitalized at RSUPN Cipto Mangunkusumo between 2004 and 2013. Sample size was calculated using the rule of thumbs formula. Data were obtained from medical records and analyzed with bivariate and multivariate method using Coxs Proportional Hazard Regression Model. Subsequently, a new scoring system was developed to predict 30-day mortality rate in STEMI patients. Calibration and discrimination features of the new model were assessed using Hosmer-Lemeshow test and area under receiver operating characteristic curve (AUC). Results: bivariate and multivariate analyses showed that only two variables in the new score system model were statistically significant, i.e. the Killip class II to IV and GFR with a range of total score between 0 and 4,6. Thirty-day mortality risk stratification for STEMI patient included high, moderate and low risks. The risk was considered high when the total score was >3,5 (46,5%). It was considered moderate if the total score was between 2,5 and 3,5 (23,2%) and low if the total score was <2,5 (5,95%). Both variables of the score had satisfactory calibration (p > 0,05) and discrimination (AUC 0,816 (0,756-0,875; CI 95%). Conclusion: There are two new score variables that can be used as predictors of 30-day mortality risks for STEMI patients, i.e. the Killip class and GFR with satisfactory calibration and discrimination rate."

"Seluruh aspek kehidupan telah dipengaruhi oleh pandemi COVID-19 termasuk bidang kesehatan. Disisi lain, terdapat peningkatan jumlah penderita kanker setiap tahunannya. Hubungan karakteristik klinis kanker ginekologi dengan infeksi COVID-19 terhadap mortalitas belum banyak diteliti. Dalam penelitian ini digunakan metode retrospective cross-sectional yang menggunakan data pasien penderita kanker ginekologi dengan infeksi COVID-19 yang terdaftar pada Departemen Obstetri Ginekologi RSPUN Dr. Cipto Mangunkusumo pada tahun 2020-2022. Penelitian ini menggunakan analisis uji Chi Square untuk menentukan variable yang akan dimasukan kedalam analisis regresi logistik backward stepwise. Dalam penelitian ini ditemukan usia >59 (OR, 0.020; Cl 95% 0.001-0.577; P= 0.023), anemia(OR,0.053; Cl 95% 0.005-0.565; P= 0.015), ARDS (OR, 50,010; CL 95%, 1,145-2185.101; P = 0.042), Hyperkalemia (OR, 11,189; Cl 95% 1,491-83.992; P = 0.019), Sepsis (OR, 18,386; Cl 95% 2,220-152.253; P= 0.007), ECOG >2 (OR, 12.859; Cl 95% 2.582-64.020; P= 0.002), and Degree of Severe-Critical COVID-19 (OR, 111.310; Cl 95% 3.961-3128.117; P= 0.006). Dapat disimpulkan ARDS, hyperkalemia, sepsis, ECOG >2, dan derajat COVID-19 berat-kritis memiliki signifikansi baik terhadap statistik maupun klinis dengan mortalitas, namun usia > 59 dan anemia secara klinis tidak memiliki signifikansi.

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All aspects of life have been affected by the COVID-19 pandemic, including the health sector. On the other hand, the number of cancer patients is continuously increasing every year. The relationship between clinical characteristics of gynecological cancer with COVID-19 infection and mortality has not been widely studied. This study used a retrospective cross-sectional method using data on patients with gynecological cancer with COVID-19 infection registered in the gynecology department of Dr. Cipto Mangunkusumo Hospital in 2020-2022. This study used chi-squared test analysis to determine the variables to be included in backward stepwise logistic regression analysis. In this study, it was found that age >59 (OR, 0.020; Cl 95% 0.001-0.577; P = 0.023), anemia (OR, 0.020; Cl 95% 0.001-0.578; p= 0.023), ARDS (OR, 48.796;  Cl 95%, 1.131-2105.921; P=0.043), hyperkalemia (OR, 10.960; Cl 95% 1.462-82.187; p= 0.020), sepsis (OR, 18.087; Cl 95% 2.192-149.271; P= 0.007), ECOG >2 (OR, 12.629; Cl 95% 2.538-62.854; P= 0.002), and degree of severe-critical COVID-19 (OR, 108.771; Cl 95% 3.917-3020.095; P= 0.006). It can be concluded that ARDS, hyperkalemia, sepsis, ECOG >2 and degree of severe-critical COVID-19 have both statistical and clinical significance with mortality, but age >59 and anemia have no clinical significance."

"Latar Belakang: COVID-19 telah ditetapkan WHO sebagai Kedaruratan Kesehatan Masyarakat Yang Meresahkan Dunia dengan case fatality rate (CFR) di Indonesia mencapai 8,7% pada April 2020. Sampai saat ini belum ada biomarker prognosis untuk membedakan pasien yang membutuhkan perhatian segera dan menjadi prediktor mortalitas COVID-19 di ICU. Skor Simplified Acute Physiology Score 3 (SAPS 3) menilai kondisi pasien sejak pertama kali datang ke rumah sakit dan mengevaluasi data yang diperoleh saat masuk ICU dalam menentukan prediktor mortalitas 28 hari. Tujuan: Studi ini menganalisis hubungan skor SAPS 3 dengan mortalitas 28 hari pada pasien COVID-19 yang dirawat di ICU RSCM dan RSUI. Metode: Penelitian ini merupakan studi kohort retrospektif di Rumah Sakit Cipto Mangunkusumo selama bulan Maret-Agustus 2020. Sebanyak 208 subjek yang sesuai kriteria inklusi dianalisis dari data rekam medis. Data demografis dan penilaian skor SAPS 3 dicatat sesuai data rekam medis. Variabel SAPS 3 yang berpengaruh terhadap mortalitas 28 hari dilakukan analisis bivariat dan regresi logistik multivariat. Kesahihan dinilai menggunakan uji diskriminasi dengan melihat Area Under Curve (AUC) dan uji kalibrasi Hosmer Lemeshow. Titik potong optimal ditentukan secara statistik. Hasil: Angka mortalitas 28 hari akibat COVID-19 periode Maret-Agustus sebesar 43.8%. Variabel SAPS 3 yang secara statistik berpengaruh signifikan (p<0.05) terhadap mortalitas 28 hari pasien COVID-19 di ICU adalah usia, riwayat penggunaan obat vasoaktif sebelum masuk ICU, penyebab masuk ICU (defisit neurologis fokal dan gagal napas), kadar kreatinin dan trombosit. Skor SAPS 3 menunjukkan nilai diskriminasi yang baik (AUC 80.5% Interval Kepercayaan 95% 0.747-0.862) dan kalibrasi yang baik (Hosmer-Lemeshow p=0.395). Titik potong optimal skor SAPS 3 adalah 39 dengan sensitivitas 70.3% dan spesifisitas 74.4%. Kesimpulan: Skor SAPS 3 memiliki hubungan dengan mortalitas 28 hari pada pasien COVID-19 yang dirawat di ICU.

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Background: COVID-19 has been declared as a Public Health Emergency of International Concern by WHO with case fatality rate (CFR) of 8,7% in April 2020 in Indonesia. Until now, there is no prognostic biomarker to differentiate patients who require immediate attention and be a mortality predictor for COVID-19 patients in ICU. Simplified Acute Physiology Score 3 (SAPS 3) score assessed the patient’s condition since the first time he came to the hospital and evaluated the data obtained in the first hour of admission to the ICU in predicting 28-days mortality. Goals: This study aims to analyze the correlation between SAPS 3 score and 28-days mortality caused by COVID-19 in the ICU RSCM and RSUI.

Methods: This retrospective cohort study was conducted in Cipto Mangunkusumo Hospital from March to August 2020 on 208 subjects who met the inclusion criteria. Demographic data and SAPS 3 score were recorded, the data was taken from medical records. Bivariate and multivariate logistic regression was used to investigate the relationship between SAPS 3 variables and 28-days mortality. The validity of SAPS 3 score was assessed by measurement of the Area Under Curve (AUC) and Hosmer- Lemeshow calibration test. The optimal cut-off point was determined statistically.

Results: The mortality rate of COVID-19 in our study from March to August 2020 is 43.8%. Five SAPS 3 variables were found to be significantly associated with 28-days mortality of COVID-19 patients in the ICU (p<0.05) are age, use of vasoactive drugs before ICU admission, reason for ICU admission (focal neurologic defisit and respiratory failure), creatinine, and thrombocyte level. SAPS 3 showed a good discrimination ability (AUC 80.5% Confidence Interval 95% 0.747-0.862) and calibration ability (Hosmer-Lemeshow p=0.395). The optimal cut off point of SAPS 3 score was 39 with sensitivity 70.3% and specificity 74.4%.

Conclusion: SAPS 3 score have a correlation with 28-days mortality caused by COVID-19 in the ICU."

"Unit Perawatan Intensif (UPI) merupakan bagian rumah sakit yang berfungsi untuk melakukan perawatan pada pasien yang mengalami penyakit dengan potensi mengancam nyawa. Data menunjukkan angka mortalitas pasien UPI dewasa di seluruh dunia memiliki rerata sekitar 10-29%, sedangkan di RSCM berada di kisaran 28,63-33,56%. Keadaan tersebut membuat kemampuan memprediksi luaran mortalitas menjadi penting untuk menentukan perawatan yang tepat. Logistic Organ Dysfunction System (LODS) merupakan salah satu metode skoring yang dapat digunakan untuk memprediksi luaran mortalitas pasien, namun penelitian untuk menguji hal tersebut belum pernah dilakukan di Indonesia. Penelitian ini bertujuan untuk menilai kemampuan skor LODS dalam memprediksi luaran mortalitas pasien dewasa UPI RSCM. Penelitian ini menggunakan 331 sampel data rekam medik pasien UPI RSCM, didapati hasil bahwa rerata pasien meninggal memiliki skor LODS yang lebih besar daripada pasien yang hidup, yaitu rerata 5,854 (median: 6) pada pasien meninggal, dan rerata 2,551 (median: 2) pada pasien yang hidup. Pada uji kalibrasi, didapati hasil Hosmer-Lemeshow test sebesar 0,524, yang menandakan hasil uji kalibrasi yang baik (>0,05). Sedangkan pada uji diskriminasi menggunakan kurva Receiver Operating Characteristic (ROC), nilai Area Under the Curve (AUC) sebesar 79,2%, yang menandakan kemampuan diskriminasi dari skor LODS cukup (70-80%). Hasil tersebut menunjukkan bahwa skor LODS dapat digunakan sebagai salah satu acuan dalam memprediksi luaran mortalitas pasien UPI RSCM.

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Intensive Care Unit (ICU) is the part of hospital that do the care for patients with disease that threaten their life. Data shows that the mortality rate in ICU in the whole world revolved aroung 10-29%, and in RSCM revolved around 28,63-33,56%. This condition makes the ability to predict mortality outcome become important to help decide the correct treatment. Logistic Organ Dysfunction System (LODS) is one of scoring method that is able to help predict patients mortality outcome, but there is still no study for this scoring method for adult patients in Indonesia. This study inteded to evaluate the ability of LODS scoring in predicting ICU RSCM patients mortality outcome. This study used 331 ICU RSCM patients as its samples, and the result shows that the mean LODS score of the patients that died is greater than the one that lives, the mean LODS score of the patients that died is 5,854 (median: 6), and the mean score of the patients that lives is 2,551 (median: 2). In calibration test using Hosmer-Lemeshow test, the result shows a good outcome that is 0,524 (P>0,05). While in discrimantion test using Receiver Operating Characteristic (ROC) curve, the Area Under the Curve (AUC) value is 79,2%, showing that the ability of LODS score to discriminate is sufficient. This results show that LOD score can be used as one of the refference to predict patients mortality outcome in ICU RSCM."