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Tesis
Model Prediksi Pneumonia 30 Hari Pasca Bedah Pada Pasien Usia Lanjut Yang Menjalani Bedah Abdomen di Rumah Sakit Cipto Mangunkusumo
2018 | BY Harini Oktadiana - Gurmeet Singh - Noto Dwimartutie - Wifanto Saditya Jeo - Kuntjoro Harimurti- Prediction Model of 30-Day Postoperative Pneumonia in Elderly Patients Undergoing Abdominal Surgery at Cipto Mangunkusumo General Hospital .
- Nomor Panggil T18479fk
Tesis
Pengaruh Status Frailty terhadap Komplikasi Pascabedah Elektif pada Pasien Usia Lanjut
2018 | BY Popy Yusnidar - Noto Dwimartutie - Susilo Chandra - Kuntjoro Harimurti- The Impact of Frailty on 30-day complications after elective surgery in the elderly patients.
- Nomor Panggil T18422fk
Tesis
Model Prediksi Mortalitas Pasien Usia Lanjut yang Menjalani Pembedahan Elektif di Rumah Sakit Cipto Mangunkusumo
2018 | BY Fitria - Noto Dwimartutie - Susilo Chandra - Kuntjoro Harimurti- Predictive Model for Mortality in Elderly Patients Undergoing Elective Surgery in Cipto Mangunkusumo Hospital.
- Nomor Panggil T18421fk
Tesis
Model Prediksi Mortalitas 30 Hari Pasien Usia Lanjut Di Ruang Rawat Akut Geriatri Menggunakan Domain Pendekatan Paripurna Pasien Geriatri (P3G)
2014 | BY Noto Dwimartutie - Siti Setiati - Edy Rizal Wahyudi - Kuntjoro Harimurti- Prediction Model Of 30-Day Mortality In Elderly Patients Admitted To Geriatric Acute Ward Using Comprehensive Geriatric Assessment (CGA) Domain.
- Nomor Panggil T14302fk
Tesis
Perbedaan Kesintasan 30-Hari Pasien Usia Lanjut dengan Pneumonia Komunitas pada Berbagai Derajat Ketergantungan di Awal Perawatan
2015 | BY Kuntjoro Harimurti - Petry - Arya Govinda Roosheroe- The Difference of 30-Days Survival in Elderly Patients With Community-Acquired Pneumonia in Various Degree Of Dependency During Admission.
- Nomor Panggil T 15 068 FK
Tesis
Modifikasi Kuesioner Identification of Senior at Risk (ISAR) untuk Memprediksi Mortalitas 30 Hari Pasien Usia Lanjut yang Datang ke Instalasi Gawat Darurat
2016 | BY Aulia Rizka - Kuntjoro Harimurti - Ceva W Pitoyo - Sukamto Koesnoe- Modification of Identification of Senior at Risk (ISAR) to Predict 30-day Mortality of Elderly in Emergency Department .
- Nomor Panggil T 16 422 FK