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Survival Analysis of Chronic Kidney Disease (CKD) Patients Undergoing Hemodialysis at RSUD Ratu Zalecha Martapura

Jurnal Matematika, Statistika dan Komputasi · Vol. 22 No. 1 (2025) · pp. 159–177

DOI
10.20956/j.v22i1.44666
ISSN
2614-8811, 1858-1382
Published
2025-09-08
Publisher
Department of Mathematics, Hasanuddin University
Language
en
License
creativecommons.org/licenses/by/4.0

Abstract

The kidneys play an important role in excreting the body's metabolic waste. The progressive decline in kidney function triggers Chronic Kidney Disease (CKD) which can be fatal if it’s not treated by undergoing regular hemodialysis or kidney transplantation. Research related to the effectiveness of the survival time of CKD patients is still limited, therefore this study aims to analyze the survival of CKD patients undergoing hemodialysis at Ratu Zalecha Martapura Hospital using survival analysis. The data collection method used purposive sampling. The research data were obtained from secondary source of medical records of 335 CKD patients who underwent hemodialysis during the observation in period from January 2022 until October 2024. The survival analysis methods used include Kaplan-Meier and Log-Rank tests for estimation of the survival function and Cox Proportional Hazard regression models by comparing 3 methods of handling co-occurrence (ties) namely Breslow, Efron, and Exact to identify factors that affect patient survival. The results showed that CKD patients without comorbidities had a higher survival chance than patients with hypertension, diabetes mellitus, and cardiovascular disease. In comparing the methods of handling ties, Exact method was the most appropriate for the data with the smallest Akaike Information Criterion (AIC) value of 481.3439. In addition, it was found that the factors that significantly influenced the length of CKD patient’s survival were hypertension status, diabetes mellitus status, and cardiovascular status.

Keywords

Collaboration network of the authors

10 authors · 16 co-authorship links

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  • Lambung Mangkurat University
  • Different organisations
  • Same organisation
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Co-authorOrganisationJoint articles
Dewi Sri SusantiLambung Mangkurat University1
Na’imah HijriatiLambung Mangkurat University1
Irma Sari YuliantiLambung Mangkurat University1
Siti Fatimah Marliany IrawanLambung Mangkurat University1
Selvi AnnisaLambung Mangkurat University1
Syamsul ArifinLambung Mangkurat University1
Eko SuhartonoLambung Mangkurat University1
Yuni YulidaLambung Mangkurat University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/jmsk/oai, first harvested 5 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Survival Analysis of Chronic Kidney Disease (CKD) Patients Undergoing Hemodialysis at RSUD Ratu Zalecha Martapura</dc:title>
	<dc:creator xml:lang="en">Azzahro, Nasywa Nabilah</dc:creator>
	<dc:creator xml:lang="en">Anggraini, Dewi</dc:creator>
	<dc:subject xml:lang="en">Chronic Kidney Disease</dc:subject>
	<dc:subject xml:lang="en">Hemodialysis</dc:subject>
	<dc:subject xml:lang="en">Survival Analysis</dc:subject>
	<dc:subject xml:lang="en">Cox Proportional Hazard Regression</dc:subject>
	<dc:subject xml:lang="en">Ties</dc:subject>
	<dc:description xml:lang="en">The kidneys play an important role in excreting the body's metabolic waste. The progressive decline in kidney function triggers Chronic Kidney Disease (CKD) which can be fatal if it’s not treated by undergoing regular hemodialysis or kidney transplantation. Research related to the effectiveness of the survival time of CKD patients is still limited, therefore this study aims to analyze the survival of CKD patients undergoing hemodialysis at Ratu Zalecha Martapura Hospital using survival analysis. The data collection method used purposive sampling. The research data were obtained from secondary source of medical records of 335 CKD patients who underwent hemodialysis during the observation in period from January 2022 until October 2024. The survival analysis methods used include Kaplan-Meier and Log-Rank tests for estimation of the survival function and Cox Proportional Hazard regression models by comparing 3 methods of handling co-occurrence (ties) namely Breslow, Efron, and Exact to identify factors that affect patient survival. The results showed that CKD patients without comorbidities had a higher survival chance than patients with hypertension, diabetes mellitus, and cardiovascular disease. In comparing the methods of handling ties, Exact method was the most appropriate for the data with the smallest Akaike Information Criterion (AIC) value of 481.3439. In addition, it was found that the factors that significantly influenced the length of CKD patient’s survival were hypertension status, diabetes mellitus status, and cardiovascular status.</dc:description>
	<dc:publisher xml:lang="en">Department of Mathematics, Hasanuddin University</dc:publisher>
	<dc:date>2025-09-08</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/jmsk/article/view/44666</dc:identifier>
	<dc:identifier>10.20956/j.v22i1.44666</dc:identifier>
	<dc:source xml:lang="en">Jurnal Matematika, Statistika dan Komputasi; Vol. 22 No. 1 (2025): SEPTEMBER 2025; 159-177</dc:source>
	<dc:source>2614-8811</dc:source>
	<dc:source>1858-1382</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/jmsk/article/view/44666/13338</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Jurnal Matematika, Statistika dan Komputasi</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
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