Analisis Survival pada Penderita Gagal Ginjal di Unit Hemodialisa RSUD Dr. R. Sosodoro Djatikoesoemo

Zunayda, Fitria Evi (2018) Analisis Survival pada Penderita Gagal Ginjal di Unit Hemodialisa RSUD Dr. R. Sosodoro Djatikoesoemo. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Gagal ginjal merupakan penyakit yang sudah tidak asing di telinga. Sebanyak 0,2% penduduk Indonesia menderita gagal ginjal. Salah satu terapi untuk penyakit gagal ginjal adalah Hemodialisis. Hemodialisis akan mencegah kematian, namun tidak menyembuhkan atau memulihkan penyakit ginjal. Faktor yang diduga mempengaruhi waktu survival pasien gagal ginjal diantaranya adalah umur, frekuensi hemodialisis, jenis kelamin, status pernikahan, status hipertensi, dan status diabetes. Analisis untuk mendapatkan faktor-faktor yang mempengaruhi waktu survival penderita gagal ginjal yang menjalani hemodialisi rutin dilakukan dengan metode regresi cox proportional hazard (Cox PH). Berdasarkan pemodelan dengan menggunakan regresi (cox PH) menghasilkan variabel yang berpengaruh terhadap waktu survival pasien gagal ginjal yaitu Usia dan Status Pernikahan. Perubahan usia satu tahun pada pada pasien gagal ginjal akan meningkatkan resiko untuk mengalami rawat jalan 1,034 kali lebih besar. Sementar itu, pasien pasien gagal ginjal dengan status menikah memiliki resiko untuk rawat inap 5 kali lebih besar dibandingkan daripada pasien dengan status menikah. =========================================================================================== Kidney failure is a familiar disease. 0.2% of Indonesia's population suffers from kidney failure. One of the therapies for kidney failure is Hemodialysis. Hemodialysis will prevent death, but does not cure or recover kidney disease. Factors that suspected to affect the survival time of renal failure are age, frequency of hemodialysis, sex, marital status, hypertension status, and diabetes status. Analysis to obtain the factors that affect the survival time of renal failure patients undergoing routine hemodialysis is done by cox proportional hazard regression method (Cox PH). Based on modeling by using regression (cox PH) to produce variable which have effect the survival time of renal failure are Age and Status of Marriage. A one-year age change in patients with kidney failure will increase the risk of hospitalization 1,034 times greater. In addition, patients with marital renal failure have a risk of hospitalization 5 times greater than married patients.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: analisis survival, gagal ginjal, hemodialisis, regresi cox proportional hazard, survival analysis, kidney failure, hemodialysis, cox proportional hazard regression
Subjects: H Social Sciences > HA Statistics
R Medicine > R Medicine (General)
R Medicine > RC Internal medicine
R Medicine > RZ Other systems of medicine
Divisions: Faculty of Mathematics and Science > Statistics > (S1) Undergraduate Theses
Depositing User: Fitria Evi Zunayda
Date Deposited: 21 Feb 2018 04:41
Last Modified: 21 Feb 2018 04:41
URI: http://repository.its.ac.id/id/eprint/50771

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