Analisis Survival pada Pasien Leukemia Akut di Rumah Sakit Universitas Airlangga Menggunakan Regresi Cox

Anindita, Bening (2026) Analisis Survival pada Pasien Leukemia Akut di Rumah Sakit Universitas Airlangga Menggunakan Regresi Cox. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Leukemia merupakan salah satu jenis kanker dengan angka mortalitas yang masih tinggi, baik secara global maupun di Indonesia. Analisis survival diperlukan untuk memahami pola ketahanan hidup pasien serta faktor-faktor prognostik yang berhubungan dengan risiko kejadian. Penelitian ini bertujuan untuk menganalisis karakteristik pasien leukemia serta mengidentifikasi faktor-faktor yang berhubungan dengan waktu survival pasien leukemia di Rumah Sakit Universitas Airlangga menggunakan pendekatan regresi Cox Proportional Hazard. Penelitian ini menggunakan desain retrospektif dengan data pasien leukemia yang menjalani perawatan selama periode pengamatan tertentu. Variabel yang dianalisis meliputi usia, jenis kelamin, jenis leukemia, kadar hemoglobin, leukosit, hematokrit, trombosit, durasi mengidap leukemia, serta status kemoterapi. Analisis dilakukan melalui estimasi Kaplan-Meier, uji Log-Rank, pemodelan regresi Cox Proportional Hazard dengan metode forward selection. Hasil analisis deskriptif menunjukkan adanya variasi karakteristik demografis dan klinis pasien. Uji Log-Rank menunjukkan perbedaan kelangsungan hidup yang signifikan berdasarkan jumlah trombosit dan kemoterapi. Pemodelan regresi Cox Proportional Hazard menunjukkan bahwa jenis kelamin dan kadar hemoglobin berhubungan signifikan dengan waktu survival pasien leukemia. Estimasi hazard ratio menunjukkan bahwa jenis kelamin laki-laki memiliki risiko kematian yang lebih tinggi dan pasien dengan kadar hemoglobin di atas 13,2 g/dL memiliki risiko kematian yang lebih rendah. Pengujian asumsi proportional hazard menunjukkan bahwa seluruh variabel memenuhi asumsi proportional hazard. Survival rate pasien leukemia pada satu tahun adalah 27%. Secara keseluruhan, hasil penelitian ini menunjukkan bahwa faktor prognosis dan penanganan klinis berperan penting dalam memengaruhi waktu survival pasien leukemia. Analisis regresi Cox Proportional Hazard mampu memberikan gambaran faktor-faktor prognostik yang relevan dan dapat menjadi dasar evaluasi klinis di tingkat rumah sakit.
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Leukemia is a type of cancer with a persistently high mortality rate, both globally and in Indonesia. Survival analysis is essential to understand patient survival patterns and to identify prognostic factors associated with the risk of events. This study aims to analyze the characteristics of leukemia patients and to identify factors associated with survival time among leukemia patients at Universitas Airlangga Hospital using the Cox Proportional Hazard regression approach. This study employed a retrospective design using data from leukemia patients who received treatment during a defined observation period. The variables analyzed included age, sex, type of leukemia, hemoglobin level, leukocyte count, hematocrit level, platelet count, duration of leukemia, and chemotherapy status. The analysis was conducted using Kaplan-Meier estimation, Log-Rank testing, Cox Proportional Hazard regression modeling with forward selection. Descriptive analysis revealed variability in patients’ demographic and clinical characteristics. The Log-Rank test indicated significant differences in survival based on platelet count and chemotherapy status. Proportional Hazard Cox regression modeling showed that sex and hemoglobin level were significantly associated with survival time in leukemia patients. Hazard ratio estimates indicated that male patients had a higher risk of mortality, while patients with hemoglobin levels above 13,2 g/dL had a lower risk of death. Testing of the proportional hazard assumption confirmed that all variables satisfied the proportional hazard assumption. Overall, the findings demonstrate that prognostic factors and clinical management play an important role in influencing survival time among leukemia patients. Proportional Hazard Cox regression provides meaningful insight into relevant prognostic factors and may serve as a basis for clinical evaluation at the hospital level.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Leukemia, Regresi Cox Proportional Hazard, Survival, Leukemia, Regresi Cox Proportional Hazard, Survival
Subjects:	Q Science > QA Mathematics Q Science > QA Mathematics > QA276 Mathematical statistics. Time-series analysis. Failure time data analysis. Survival analysis (Biometry)
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User:	Bening Anindita
Date Deposited:	29 Jan 2026 01:56
Last Modified:	29 Jan 2026 01:56
URI:	http://repository.its.ac.id/id/eprint/131135

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