<?xml version="1.0"?>
<Articles JournalTitle="Journal of Biostatistics and Epidemiology">
  <Article>
    <Journal>
      <PublisherName>Tehran University of Medical Sciences</PublisherName>
      <JournalTitle>Journal of Biostatistics and Epidemiology</JournalTitle>
      <Issn>2383-4196</Issn>
      <Volume>7</Volume>
      <Issue>3</Issue>
      <PubDate PubStatus="epublish">
        <Year>2021</Year>
        <Month>10</Month>
        <Day>23</Day>
      </PubDate>
    </Journal>
    <title locale="en_US">Multistate Models for the Analysis of Time to Type II Chronic Diabetic Complications in  Debre Markos Referral Hospital, Northwest Ethiopia</title>
    <FirstPage>285</FirstPage>
    <LastPage>304</LastPage>
    <AuthorList>
      <Author>
        <FirstName>Muluye</FirstName>
        <LastName>Ayaneh</LastName>
        <affiliation locale="en_US">Department of Statistics, Debre Markos University, Debre Markos, Ethiopia.</affiliation>
      </Author>
      <Author>
        <FirstName>Ashagrie</FirstName>
        <LastName>Iyasu</LastName>
        <affiliation locale="en_US">Department of Statistics, Debre Markos University, Debre Markos, Ethiopia.</affiliation>
      </Author>
    </AuthorList>
    <History>
      <PubDate PubStatus="received">
        <Year>2021</Year>
        <Month>05</Month>
        <Day>25</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2021</Year>
        <Month>07</Month>
        <Day>07</Day>
      </PubDate>
    </History>
    <abstract locale="en_US">Introduction: Diabetes is a chronic, non-communicable disease characterized by elevated blood glucose&#xA0;levels. The purpose of this study was to jointly model the transition of diabetic patients in a series of clinical&#xA0;states and to assess the relationship between each state and different patient characteristics.&#xA0;
&#xD;

Methods: A hospital-based retrospective study was conducted on 524 patients with type II diabetes, aged 18&#xA0;years or older, who attended their medication between January 1, 2005, and December 31, 2017. Multistate&#xA0;models with different assumptions were considered to explore the effects of different prognostic factors on the&#xA0;transition intensity of type II diabetes mellitus patients.
&#xD;

Results: During a median follow-up time of 7.4 years (Inter-Quartile Range=4.01), 54.8% of diabetic patients&#xA0;developed either microvascular or macrovascular complications, and 10.5% of them experienced both microand macrocomplications, and 16.66% of diabetes patients died. The assumption Markov was assessed by using&#xA0;the likelihood ratio test showed that Markov assumption was not held just for the transition. The transition&#xA0;rate of patients from the macrovascular state to the death state was affected by the residence of the patients (P=0.05) and age at diagnosis (p=0.01). The transition rates of patients with microvascular complications&#xA0;to death were significantly affected by baseline triglyceride level (P&lt;0.001), age at first diagnosis (P=0.01),&#xA0;baseline glucose level (P=0.03, and baseline serum creatinine level (P=0.04).&#xA0;
&#xD;

Conclusion: The semi-Markov model fitted the data well and could be used as a convenient model for the&#xA0;analysis of time to diabetes-related complications or death.</abstract>
    <web_url>https://jbe.tums.ac.ir/index.php/jbe/article/view/536</web_url>
  </Article>
</Articles>
