Evaluate of influential factors affecting survival of patients with Leukemia cancer using Logistic Regression model

سال انتشار: 1396
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 414

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شناسه ملی سند علمی:

IPMCMED02_037

تاریخ نمایه سازی: 29 فروردین 1397

چکیده مقاله:

Leukemia is one of the disease which is a burden of severe disease. Its mortality rate is 2.8%. Therefore it is necessery to study corelation between affecting factors of this disease.Logistic regression model is the most common statistical method in data analysis that have a random response variable in this paper, with using a logistic regresion model we examined the corelation between patient s life after receiving transplant with the gender of patient and the level of hemoglobin in the blood.Data used in this research extracted from the records of patients in the bone marrow transplant departement related to the Taleghani Hospital affiliated of Shahid Beheshti University of Medical Sciences. The patient s record were formed during 2007 to 2015 years. And their review was carried out between 2015 and 2016 years.Taking into account the condition of life as a response variable. We have fitted the data binary logistic regression model, and the meaningful explanatory variable of gender and blood hemoglobin level were assessed.After estimated a binary logistic regression model, the explanatory variable of gender didn t have any statistically significant correlation with the patient s life status in this study.Estimated odds ratio survival for a unit of increase in blood hemoglobin level is 1.2 time and 95% confidence interval is obtained for odds ratio of the hemoglobin level of the blood (0.53 , 1.42).Blood hemoglobin level has a significant effect on patient s life status. (P-value=0.048)This study showed that, there is a significant correlation between variables hemoglobin level and the life of patients with Leukemia.

نویسندگان

Nazanin Ramezani

Department of Biostatistics/Faculty of Paramedicalsciences, Shahid Beheshti University of medical sciences, Tehran, Iran

Mahsa Moosavi

Department of Biostatistics/Faculty of Paramedicalsciences, Bu Ali University of medical sciences, Hamedan, Iran

Ahmadreza Baghestani

Department of Biostatistics/Faculty of Paramedicalsciences, Shahid Beheshti University of medical sciences, Tehran, Iran