首页> 外文期刊>American Journal of Theoretical and Applied Statistics >Survival Analysis of Type II Diabetes Mellitus Patients: A Case Study at Menellik II Referral Hospital Addis Ababa, Ethiopia
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Survival Analysis of Type II Diabetes Mellitus Patients: A Case Study at Menellik II Referral Hospital Addis Ababa, Ethiopia

机译:II型糖尿病患者的生存分析:埃塞俄比亚亚的斯亚贝巴Menellik II转诊医院的病例研究

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Diabetes Mellitus is characterized by abnormally high levels of glucose in the blood. It is a chronic disease with a high prevalence and a growing concern worldwide. The main objective of this study was to analyze Survival Analysis of Type II Diabetic patients in Menellik II referral hospital found in Addis Ababa. The study was based on the data which have 151 type II Diabetes Mellitus patients with 10 independent variables. The independent variables that considered in the study were Sex, Age, past medical history, Family History, Complication Status, Regimen type, Specific drug (treatment) type order by Physician, Systolic Blood Pressure of Patients, Diastolic Blood Pressure of Patients and Weight of Patients. The study more explored using survival models such as semi-parametric (Cox PH model) and parametric models (Accelerated Failure Time). The number of patients that recovers from type II Diabetes Mellitus were 116 (76.82%) while the remaining 36 (23.18%) did not recovered from type II Diabetes Mellitus. Finally, the result of this study showed that in Cox PH model past medical history and weight of type II Diabetes Mellitus patients were statistically significant with time to recover from type II Diabetes Mellitus. Likewise age, systolic blood pressure and diastolic blood pressure of patients were time dependent covariates and they were satisfies assumption of proportionality. Accordingly, we obtained gamma distribution was the best fit among other distribution in case of AFT model.
机译:糖尿病的特征在于血液中葡萄糖的异常高水平。它是一种慢性病,在世界范围内患病率很高,并且受到越来越多的关注。这项研究的主要目的是分析位于亚的斯亚贝巴的梅尼利克二世转诊医院的二型糖尿病患者的生存分析。该研究基于151名II型糖尿病患者的数据,这些患者具有10个独立变量。研究中考虑的独立变量是性别,年龄,既往病史,家族史,并发症状况,养生方式,医师指定的特定药物(治疗)类型顺序,患者的收缩压,患者的舒张压和体重耐心。使用半参数(Cox PH模型)和参数模型(加速故障时间)等生存模型进行了更多研究。从II型糖尿病中康复的患者人数为116(76.82%),而其余36(23.18%)未从II型糖尿病中康复。最后,这项研究的结果表明,在Cox PH模型中,II型糖尿病患者的既往病史和体重随时间的推移在统计学上具有统计学意义。同样,患者的年龄,收缩压和舒张压也是时间依赖性协变量,它们满足比例假设。因此,在AFT模型的情况下,我们获得的伽马分布是其他分布中最合适的。

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