35
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Opportunity Cost for Early Treatment of Chagas Disease in Mexico

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Given current neglect for Chagas disease in public health programs in Mexico, future healthcare and economic development policies will need a more robust model to analyze costs and impacts of timely clinical attention of infected populations.

          Methodology/Principal Findings

          A Markov decision model was constructed to simulate the natural history of a Chagas disease cohort in Mexico and to project the associated short and long-term clinical outcomes and corresponding costs. The lifetime cost for a timely diagnosed and treated Chagas disease patient is US$ 10,160, while the cost for an undiagnosed individual is US$ 11,877. The cost of a diagnosed and treated case increases 24-fold from early acute to indeterminate stage. The major cost component for lifetime cost was working days lost, between 44% and 75%, depending on the program scenario for timely diagnosis and treatment.

          Conclusions/Significance

          In the long term, it is cheaper to diagnose and treat chagasic patients early, instead of doing nothing. This finding by itself argues for the need to shift current policy, in order to prioritize and attend this neglected disease for the benefit of social and economic development, which implies including treatment drugs in the national formularies. Present results are even more relevant, if one considers that timely diagnosis and treatment can arrest clinical progression and enhance a chronic patient's quality of life.

          Author Summary

          Chagas disease is caused by the flagellated protozoan parasite Trypanosoma cruzi, vectored in Mexico in both rural and urban areas via one of 18 triatomine bug species. Despite ample morbidity and mortality evidence, however, health policy managers in Mexico have continued to neglect prevention, control and clinical attention for the disease. A computer simulation Markov model was programmed and fed with information from published evidence and an expert panel. The lifetime cost for a timely diagnosed and treated Chagas disease patient is US$ 10,160, while the cost for an undiagnosed individual is US$ 11,877. The cost of a diagnosed and treated case increases 24-fold from early acute to indeterminate stage. The major cost component for lifetime cost was working days lost, between 44% and 75%, depending on the program scenario for timely diagnosis and treatment. Timely medical attention for infected individuals is cheaper than doing nothing, especially if life and labor costs are included. The evidence provided, essential for decision-making, should be used to develop disease-specific prevention, control and patient clinical diagnosis and treatment policies for Chagas disease in Mexico.

          Related collections

          Most cited references28

          • Record: found
          • Abstract: found
          • Article: not found

          Clinical and epidemiological aspects of Chagas disease.

          A. Prata (2001)
          Chagas disease is caused by the protozoan parasite Trypanosoma cruzi. During the past decades, after urban migrations, Chagas disease became frequent in cities and a health problem in non-endemic countries, where it can be transmitted vertically and by blood transfusion or organ transplantation. Microepidemics of acute Chagas disease have been reported, probably due to oral transmission. Heart involvement is the major feature of the disease because of its characteristics, frequency, and consequences, and is also the source of most controversies. The indeterminate clinical form, despite its good prognosis on at least a medium-term basis (5-10 years), has acquired increasing importance due to the controversial meaning of the abnormality of some tests and the myocardial focal lesions found in many patients. Simultaneous evaluation of the parasympathetic and of the sympathetic system in the heart has been done by spectral analysis of heart rate. The physiopathological and clinical significance of denervation in Chagas disease is still incompletely understood. There are major divergences of opinion on specific treatment during the chronic phase because of the doubts about cure rates. Changes of Chagas disease prevalence in many countries have been certified by the Pan American Health Organization, and are ascribed to large-scale vector-control programmes with modern pyrethroid insecticides and to improvement in lifestyle.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Markov models in medical decision making: a practical guide.

            Markov models are useful when a decision problem involves risk that is continuous over time, when the timing of events is important, and when important events may happen more than once. Representing such clinical settings with conventional decision trees is difficult and may require unrealistic simplifying assumptions. Markov models assume that a patient is always in one of a finite number of discrete health states, called Markov states. All events are represented as transitions from one state to another. A Markov model may be evaluated by matrix algebra, as a cohort simulation, or as a Monte Carlo simulation. A newer representation of Markov models, the Markov-cycle tree, uses a tree representation of clinical events and may be evaluated either as a cohort simulation or as a Monte Carlo simulation. The ability of the Markov model to represent repetitive events and the time dependence of both probabilities and utilities allows for more accurate representation of clinical settings that involve these issues.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Pathogenesis of chagas' disease: parasite persistence and autoimmunity.

              Acute Trypanosoma cruzi infections can be asymptomatic, but chronically infected individuals can die of Chagas' disease. The transfer of the parasite mitochondrial kinetoplast DNA (kDNA) minicircle to the genome of chagasic patients can explain the pathogenesis of the disease; in cases of Chagas' disease with evident cardiomyopathy, the kDNA minicircles integrate mainly into retrotransposons at several chromosomes, but the minicircles are also detected in coding regions of genes that regulate cell growth, differentiation, and immune responses. An accurate evaluation of the role played by the genotype alterations in the autoimmune rejection of self-tissues in Chagas' disease is achieved with the cross-kingdom chicken model system, which is refractory to T. cruzi infections. The inoculation of T. cruzi into embryonated eggs prior to incubation generates parasite-free chicks, which retain the kDNA minicircle sequence mainly in the macrochromosome coding genes. Crossbreeding transfers the kDNA mutations to the chicken progeny. The kDNA-mutated chickens develop severe cardiomyopathy in adult life and die of heart failure. The phenotyping of the lesions revealed that cytotoxic CD45, CD8(+) γδ, and CD8α(+) T lymphocytes carry out the rejection of the chicken heart. These results suggest that the inflammatory cardiomyopathy of Chagas' disease is a genetically driven autoimmune disease.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Negl Trop Dis
                PLoS Negl Trop Dis
                plos
                plosntds
                PLoS Neglected Tropical Diseases
                Public Library of Science (San Francisco, USA )
                1935-2727
                1935-2735
                April 2014
                17 April 2014
                : 8
                : 4
                : e2776
                Affiliations
                [1 ]Regional Center for Public Health Research, National Institute for Public Health Research, Tapachula, Chiapas, Mexico
                [2 ]Center for Research in Health Systems, National Institute for Public Health Research, Cuernavaca, Mexico
                [3 ]Salud, Población y Economía AC, Mexico City, Mexico
                [4 ]Epidemiological Research Unit and Health Services, National Medical Center XXI Century, Mexican Social Security Institute, Mexico City, Mexico
                Universidad de Buenos Aires, Argentina
                Author notes

                The authors have declared that no competing interests exist.

                Analyzed the data: JMR MEC GSG AFL. Contributed reagents/materials/analysis tools: MEC GSG AFL. Wrote the paper: JMR AFL. Development of the idea, writing of the proposal protocol, obtaining the funding for the proposal: JMR. Development of study: MEC GSG APN. Development of the Markov model: MEC GSG AFL. Conducted the literature review: APN AFL. Coordination of the working group: JMR AFL. Coordinator of the expert panel: AFL. Reviewed manuscript: MEC GSG APN.

                Article
                PNTD-D-13-00902
                10.1371/journal.pntd.0002776
                3990484
                24743112
                1da323d6-e6de-4e16-b2d3-7d681d57694b
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 17 June 2013
                : 22 February 2014
                Page count
                Pages: 8
                Funding
                The funding source for the present study is the grant CONACyT-FONSEC #161405, to JMR. The CONACyT's website is: www.conacyt.mx. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Health Care
                Health Economics
                Social Sciences
                Economics

                Infectious disease & Microbiology
                Infectious disease & Microbiology

                Comments

                Comment on this article