The Optimal Time to Initiate HIV Therapy Under Ordered Health States

نویسندگان

  • Steven M. Shechter
  • Matthew D. Bailey
  • Andrew J. Schaefer
  • Mark S. Roberts
چکیده

The question of when to initiate HIV treatment is considered the most important question in HIV care today. Benefits of delaying therapy include avoiding the negative side effects and toxicities associated with the drugs, delaying selective pressures that induce the development of resistant strains of the virus, and preserving a limited number of treatment options. On the other hand, the risks of delayed therapy include the possibility of irreversible damage to the immune system, development of AIDS-related complications, and death. We use Markov decision processes to develop the first HIV optimization models that aim to maximize the expected lifetime or quality-adjusted lifetime of a patient. We prove conditions that establish structural properties of the optimal solution and compare them to our data and results. Model solutions, based on clinical data, support a strategy of treating HIV earlier in its course as opposed to recent trends toward treating it later.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Sub-optimal Estimation of HIV Time-delay Model using State-Dependent Impulsive Observer with Time-varying Impulse Interval: Application to Continuous-time and Impulsive Inputs

Human Immunodeficiency Virus (HIV) weakens the immune system in confronting various diseases by attacking to CD4+T cells. In modeling HIV behavior, the number of CD4+T cells is considered as the output. But, continuous-time measurement of these cells is not possible in practice, and the measurement is only available at variable intervals that are several times bigger than sampling time. In this...

متن کامل

Comparative study of predictive ability of AIDS incidence in HIV positive people using Markov model according to two criteria, WHO and CDC in CD4 cell categorization

Background: The Multi state Markov models have extensively application with categorization of laboratory marker of CD4 cells for evaluation of HIV disease progression. These models with different states result in different effects of covariates and prediction of HIV disease trend. The main purpose of this study was comparison of four and five states models with the three- state in order to sele...

متن کامل

تعیین ارتباط تعداد کل لنفوسیت‌ها با تعداد سلول‌های CD4 در بیماران با عفونت HIV

Normal 0 false false false EN-US X-NONE AR-SA MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal" mso-tsty...

متن کامل

Factors Affecting Treatment Adherence among HIV-Positive Patients in Eritrea

Strict adherence to anti-retroviral therapy (ART) is critical for sustained suppression of viral replication and prevention of opportunistic infections that often lead to disability or death. With increased availability of ART in recent years, achievement of optimal adherence has become very important in the management of HIV/AIDS in Eritrea. To assess the factors affecting adherence to ART of ...

متن کامل

مدل‌سازی روند تغییرات سیستم ایمنی در افراد آلوده به ویروس HIV تحت درمان با داروهای ضدرتروویروسی به‌وسیله مدل مارکوف

Background: After primary infection, the number of CD4 T-cells decreases with disease progress. The patient’s immunological status could inform by The CD4 T-cell counts over the time. The main purpose of this study is to assess the trend of CD4 cell count in HIV+ patient that received Antiretroviral Therapy (ART) by using a multistate Markov model to estimate transition intensities and transiti...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Operations Research

دوره 56  شماره 

صفحات  -

تاریخ انتشار 2008