Logo-iejm
Submitted: 20 Oct 2019
Accepted: 30 Nov 2019
ePublished: 15 Dec 2019
EndNote EndNote

(Enw Format - Win & Mac)

BibTeX BibTeX

(Bib Format - Win & Mac)

Bookends Bookends

(Ris Format - Mac only)

EasyBib EasyBib

(Ris Format - Win & Mac)

Medlars Medlars

(Txt Format - Win & Mac)

Mendeley Web Mendeley Web
Mendeley Mendeley

(Ris Format - Win & Mac)

Papers Papers

(Ris Format - Win & Mac)

ProCite ProCite

(Ris Format - Win & Mac)

Reference Manager Reference Manager

(Ris Format - Win only)

Refworks Refworks

(Refworks Format - Win & Mac)

Zotero Zotero

(Ris Format - Firefox Plugin)

Int Electron J Med. 2019;8(2): 124-129.
doi: 10.34172/iejm.2019.09
  Abstract View: 236
  PDF Download: 151

Original Article

Determining the Factors Affecting the Survival of HIV Patients: Comparison of Cox Model and the Random Survival Forest Method

Nasim Karimi 1 ORCID logo, Maliheh Safari 2 ORCID logo, Mohammad Mirzaei 3 ORCID logo, Amir Kassaeian 4 ORCID logo, Ghodratollah Roshanaei 5 * ORCID logo, Tahereh Omidi 2 ORCID logo

1 Clinical Research Development Unit of Shahid Beheshti Hospital, Student Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
2 Student Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
3 Deputy of Health, Hamadan University of Medical Sciences, Hamadan, Iran.
4 Hematology-Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran.
5 Modeling of Noncommunicable Diseases Research Center, School of Health, Department of Statistics, Hamadan University of Medical Sciences, Hamadan, Iran.
*Correspondence to Ghodratollah Roshanaei, Modeling of Noncommunicable Diseases Research Center, School of Health, Department of Statistics, Hamadan University of Medical Sciences, Hamadan, Iran. Tel: +989122145528, Email: gh.roshanaei@umsha.ac.ir

Abstract

Background: In recent years, sexually transmitted diseases such as AIDS have become an epidemic and are growing rapidly. Given the importance of controlling the disease in recent years, the awareness of the most important risk factors associated with patient survival is important. Therefore, this study aimed to determine the most important factors affecting the survival of HIV patients using the random survival forest (RSF) method.

Materials and Methods: In this retrospective study, medical records of 769 HIV patients in Hamadan Health Center from 1997 to 2017 were used to determine the most important factors in patient survival using Cox proportional hazards model and RSF method. The Brier score and C-index were applied to compare the Cox model and RSF method.

Results: Based on the results, 662 (86.1%) patients were male. The mean ± SD diagnosis age was 33.83 ± 9.63 years. Using Cox model, variables such as injection history, co-injection history, tuberculosis (TB) status, the first CD4 cell count, and the time of disease diagnosis until TB were determined to be variables affecting the survival of patients. According to the hazard ratio (HR), the risk of death for those with a history of injections was 12.328 times greater than that of noninjectors, and for those with TB, it was 13.565 times greater than that of non-TB patients. An increase in CD4 cell counts was associated with a decline in the risk of mortality. Based on the log-rank model, the variables such as the time until diagnosis of TB, the first CD4 cell count, ART, and history of co-injection had the highest impact on predicting the survival of HIV+ patients, respectively.

Conclusion: In case of the presence of many risk factors and the relationship between risk factors, the use of RSF offers a better performance in determining the influential survival factors as compared to Cox model which has limiting presumptions.

Keywords: HIV, AIDS, Random Survival Forest, Cox proportional hazards model
First Name
 
Last Name
 
Email Address
 
Comments
 
Security code


Abstract View: 236

Your browser does not support the canvas element.


PDF Download: 151

Your browser does not support the canvas element.