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Background and non-endemic countries Background Care for patients with Chagas Disease is also a challenge for health care in endemic and non-endemic countries. The expansion of Primary Health Care services to remote and impoverished areas in Brazil's public health system has improved patient access to medical care, but this is in a situation where care insecurity remains, with insufficient public funding and inadequate distribution of services. This report looked at the potential for studies on care to patients with CD in various settings, as well as providing medical services to patients with CD in a endemic area in Brazil with high coverage of public PHC services.
Source link: https://doi.org/10.1371/journal.pntd.0008782
The World Health Organization has listed Chagas disease as one of the thirteen most common tropical diseases worldwide. More than 80% of people affected by CD will not have access to diagnosis or ongoing care, which partially explains the high mortality and mortality rate. Machine Learning can find patterns in data that can be used to expand our knowledge of a specific problem or make predictions about the future. This research was also designed to analyze various models of ML to predict death in two years of patients with CD. The results of a cohort study of CD patients called SaMi-Trop were analyzed, as well as data from a research with CD patients called SaMi-Trop. The test was administered with the combination of interview questions and complementary exams, resulting in a G-mean of 0. 75 percent. ML can be used as a useful tool with the ability to aid in the care of patients with CD by identifying patients with the highest likelihood of death.
Source link: https://doi.org/10.1371/journal.pntd.0010356
Background Chagas disease remains a leading cause of cardiovascular disease in endemic regions. Focused echocardiography is a point-of-care method of measuring cardiac function, which can be helpful in diagnosing cardiac involvement. Patients with Chagas disease from an endemic area were chosen from a large cohort. According to a survey, a 61% and 87% enlargement for LV dysfunction, 63% and 92% for LV enlargement, and 63% and 92% for LV dysfunction, respectively, as well as 50% and 49% for RV size and 46% and 79% for RV dysfunction, respectively. Aneurysm in 45 patients with the lowest sensitivity of the FoCUS study was discovered. Conclusions FocuS reported good validity and reliability for determining cardiac chambers in Chagas disease patients, except for apical aneurysm.
Source link: https://doi.org/10.1371/journal.pone.0258767
Because of people migration, Chagas disease, originally a South American endemic health condition, is on the rise around the world. These conditions result in cardiomyopathy with heart failure, frequent cardiac arrhythmias, and heart blockage. Therapeutic management of Chagas Heart Failure does not differ significantly from the most common treatment for dilated cardiomyopathy, with special emphasis on arrhythmias and various degrees of heart block. This paper presents an epidemiological, prevention, diagnosis, and the relationship between Chagas disease and heart disease.
Source link: https://doi.org/10.15420/ecr.2018.30.2
Chagas Disease is a neglected zoonotic disease in the United States. The CD cases submitted to the Texas Department of State Healthcare Services are not dispersed throughout the state, but rather, demonstrate that the majority of the cases are concentrated in clusters and mainly in urban areas, where greater access to physician care, CD research, and diagnostic capabilities is available.
Source link: https://doi.org/10.1186/s12879-022-07577-y
Trypanosoma cruzi is a tropical zoonosis caused by Chagas disease. The most individuals in the chronic phase have no symptoms or organ damage, according to a state designated indeterminate IND form. Cardiomyocytes play a key role in the formation of Chronic Chagas Cardiomyopathy due to transcriptional and metabolic changes that are essential for parasite survival and replication. T. cruzi infection and reproduction capabilities are not significant in PBMCs and hiPSC-CM from both groups, according to our results. However, RNA-seq analysis in hiPSC-CM infected for 24 hours revealed a significantly different transcriptional response to the parasite in cells from IND or CCC patients. IND cardiomyocytes from IND showed significant differences in the expression of genes linked to antigen processing and display, as well as immune co-stimulatory proteins. CCC cardiomyocytes from CCC, in turn, showed elevated expression of mTORC1 pathway and unfolded protein response genes, which were both related to elevated intracellular ROS production.
Source link: https://doi.org/10.3389/fcimb.2022.904747
In the United States, approximately 300,000 people have been infected with T. cruzi. After information sessions, the number of diagnostic tests performed at a community health center serving an at-risk population for Chagas disease increased. Methodology/principal findings We conducted a retrospective review of the number of Chagas serology tests administered at a community health center before and after information sessions for clinicians. At East Boston Neighborhood Health Center, a time series review was done, focusing on the Adult and Family Medicine Departments. Testing numbers remained steady over time after the session, according to interrupted time series analysis by different departments, testing volume remained stable over time ahead of the sessions, followed by an immediate shift after the session, and delayed testing volume remained steady over time.
Source link: https://doi.org/10.1371/journal.pntd.0010524
BACKGROUND BAC is a neglected tropical disease that is also regarded as a global health emergency. This research was designed to determine myocardial damage in patients with acute Chagas disease before and after treatment. Methods and Results We reviewed 23 patients with acute Chagas disease in three stages of progression. After diagnosis and therapy, Group 1 had 12 patients monitored during the acute phase, at the time of diagnosis, and 1 year after surgery, and 11 patients were analyzed in Group 2's late postacute phase, with 11 patients in the late postacute phase who were evaluated 5. 2 years on average. Conclusions For the first time, myocardial injury caused by cardiovascular magnetic resonance imaging in a group of patients with acute Chagas disease has been documented, and this article discusses the importance of early detection and follow-up of cardiac disease in these patients.
Source link: https://doi.org/10.1161/JAHA.121.021806
Chronic Chagas disease patients have chronic T cell disease, and persistent infection with T. cruzi has resulted in exhaustion of parasite-specific T cell responses. The complement system is a key component of the primitive immune system, but new results have also shown that the interaction between its components and immune cell receptors may influence multiple functions of the adaptive immune system. Moreover, the finding that the majority of immune cells can produce complement proteins and announce their receptors have led to the assumption that the complement system also has noncanonical roles in the T cell. During chronic human T. cruzi infection, we'll address the putative role of effector complement molecules on T-cell immune exhaustion.
Source link: https://doi.org/10.3389/fcimb.2022.910854
Left ventricular systolic dysfunction in Chagas disease is relatively common, and its treatment with low-cost drugs can prolong symptoms and reduce mortality. Objectivity: The aim was to investigate the ability of AI to detect LVSD in ChD patients with ChD, as determined by the Echocardiogram u2264 40%. Methodology/principal results This is a cross-sectional review of ECG obtained from a large population of ChD patients with ChD named Su00e3o Paulo-Minas Gerais Tropical Medicine Research Center Study. The AUC was 0. 89 percent, with a sensitivity of 73%, a specificity of 83%, a general accuracy of 83%, and a negative predictive value of 97%. The AI algorithm identified LVSD among ChD patients with a likelihood ratio of 63. 3, a sensitivity of 73%, a specificity of 83%, a positive predictive value of 97%, and a negative predictive value of 97%; the AUC was 0. 839. Conclusion The results of the AI analysis of Chagas disease patients' ECG can be turned into a useful tool for diagnosing LVSD.
Source link: https://doi.org/10.1371/journal.pntd.0009974
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