https://orcid.org/0000-0002-4312-1609
Figures
Abstract
Chagas disease (CD) is a neglected parasitic zoonotic disease that affects over 6 million people worldwide. We conducted a retrospective study to analyze the spatiotemporal trends and risk factors for hospitalization rates of CD with cardiac and digestive diagnoses in Chile. We used the Mann-Kendall analysis for temporal trends, Global Moran’s Index, and Local Indicators of Spatial Association to identify spatial autocorrelation, and regression models to determine the risk factors associated with in-hospital mortality and surgical intervention. Between 2010 and 2020, a total of 654 hospitalizations were reported, corresponding to 527 individuals. The hospitalization rate steadily decreased over the years (t = -0.636; p = 0.009). The Global Moran’s I for the study period showed a positive spatial autocorrelation for hospitalization municipality and for residence municipality of CD patients (I = 0.25, p<0.001 and I = 0.45, p<0.001 respectively), indicating a clustering of hospitalizations in northern municipalities. The most frequent diagnosis was a chronic CD with digestive system involvement (55.8%) followed by a chronic CD with heart involvement (44.2%). The highest percentage of hospital discharges was observed among males (56.9%) and in the 60–79 age group (52.7%). In-hospital mortality risk was higher with increasing age (OR = 1.04), and in patients with cardiac involvement (OR = 2.3), whereas factors associated with the risk of undergoing a surgical intervention were sex (OR = 1.6) and diagnosis of CD with digestive involvement (OR = 4.4). The findings of this study indicate that CD is still a significant public health burden in Chile. Efforts should focus on improving access to timely diagnoses and treatment, reducing disease progression and hospitalization burden, and supporting clinicians in preventing complications and deaths.
Author summary
Chagas disease (CD), caused by the parasite Trypanosoma cruzi, is a neglected tropical disease affecting 21 Latin American countries. Transmission occurs through the bite of infected bugs, blood and organ transfusions, mother-to-child transmission, and contaminated food. The disease progresses through acute there most patients are asymptomatic, or a chronic phase where around 60–70% show no symptoms for 10–30 years or life, but some may progress to a serious cardiac or digestive form. In this study, we analyze the geographical and temporal distribution of hospitalizations for chronic CD.
We utilized the national database of hospitalizations for public and private hospitals. A total of 527 hospitalized patients were observed between 2010 and 2020, corresponding to 624 hospitalizations. Our findings revealed that hospitalizations are concentrated in the northern zone and have slightly decreased over the years. The most frequent diagnosis was chronic Chagas disease (CD) with digestive system involvement (55.8%) compared to cardiac diagnosis (44.2%). However, the risk of in-hospital mortality was higher for CD with cardiac involvement, increasing with age. Meanwhile, a chronic digestive diagnosis and male sex pose a higher risk of undergoing surgery.
Citation: Atero N, Torres M, Domínguez A, Diethelm-Varela B, Córdova-Bührle F, Mardones FO (2024) Spatio-temporal distribution of hospitalizations for chronic Chagas disease and risk factors associated with in-hospital mortality and surgical intervention in Chile. PLoS Negl Trop Dis 18(4): e0012124. https://doi.org/10.1371/journal.pntd.0012124
Editor: Susan Madison-Antenucci, Wadsworth Center, UNITED STATES
Received: November 14, 2023; Accepted: April 1, 2024; Published: April 25, 2024
Copyright: © 2024 Atero et al. 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.
Data Availability: The data that support the findings of this study are publicly available from Departamento de Estadísticas e Información en Salud https://deis.minsal.cl/#datosabiertos and search "Egresos Hospitalarios". All other relevant data are within the paper and its Supporting information files.
Funding: NA was funded by the National Agency for Research and Development (ANID) / Scholarship Program / National Master scholarship (Beca Magíster Nacional)/2020 - 2220045 and by the National Agency for Research and Development (ANID) / Scholarship Program / PhD. scholarship (Beca Doctorado Nacional)/2024 - 21241079. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Chagas disease (CD) is a potentially life-threatening illness caused by the protozoan parasite Trypanosoma cruzi. It is endemic in 21 countries of Latin America, but due to an increase in human migration in recent years, a considerable number of cases have been described in Europe, Asia, and North America [1,2]. About six-eight million people worldwide are estimated to be infected, and about 12 thousand deaths are recorded annually [2,3]. T. cruzi is transmitted to humans by contact with feces/urine of infected blood-sucking triatomine bugs, and can also be transmitted through blood and organ transfusions, vertically from mother to child and orally by contaminated food or beverages [4,5].
The disease evolves from an acute to a chronic phase lasting from eight to twelve weeks and often remains undiagnosed because most patients are asymptomatic or manifest mild symptoms such as fever, malaise, and splenomegaly. In some cases, patients exhibit signs like chagoma or Romaña signs, a periorbital swelling syndrome [6]. Following infection, 60–70% of patients enter a chronic indeterminate phase for 10–30 years or even for life, characterized by positive serology, lack of symptoms, and normal electrocardiogram [7]. About 10–30% progress to a determinate form, developing mainly cardiac or digestive symptoms. The cardiac form is the most serious manifestation, developing in 20–30% of individuals, characterized by chronic cardiac failure [6,7]. The digestive form affects 15–20% of patients and is characterized by alterations in the motor, secretory, and absorptive functions of the gastrointestinal tract [6].
CD is endemic in Chile [8]. Transmission in past decades occurred mainly by the intradomiciliary nocturnal vector, Triatoma infestans, a triatomine bug. This route of transmission was interrupted in Chile in 1999, and ratified in 2016 by experts from the Southern Cone Initiative and Pan American Health Organization. The reproductive wild cycle of T. cruzi is maintained by the sylvatic diurnal species Mepraia spinolai, M. gajardoi, and M. parapatrica. These species comprise the wild animal reservoir consisting of rodents, small marsupials, rabbits, among others [9], and species that transit between the peridomestic and wild environments such as dogs, cats, goats, and other farm animals [10,11]. Surveillance encompasses mandatory notification, vector control, screening of blood and organs, as well as testing pregnant women at the first prenatal appointment, newborns, and siblings of infected mothers [8]. These strategies have identified more than 1500 cases per year in Chile in the last decade [12]. Nevertheless, CD remains underreported and misdiagnosed probably due to limited access to opportune diagnostic tests, lack of clinical awareness, and because most cases are asymptomatic [5,13]. In addition, restricted access to healthcare, or clinical referral to tertiary healthcare facilities over long distances [14], potentially leads to preventable complications or death.
Diagnosis and severity factors of CD vary according to patient comorbidities, transmission mechanisms, or geographical regions [6,15]. Nevertheless, most CD research focuses on prevalence or mortality in a specific diagnosis and few studies have described the characteristics of hospitalizations at the national level [16–18]. To our knowledge, no previous investigations have examined the epidemiological characteristics of hospitalizations related to CD in Chile and its spatial and temporal distribution. This is relevant to the health care system of the disease because hospitalizations for CD usually occur as a result of complex and untreated infections in the late stages, leading to costly surgical interventions [16].
This study aimed to (1) determine the temporal and spatial distribution of hospitalizations for chronic CD and (2) identify factors associated with in-hospital mortality and surgical intervention in chronic CD patients during 2010–2020. Our results will serve as valuable information for guiding clinical decisions and informing stakeholders involved in shaping ongoing and future public policies and integrated surveillance.
Methods
Ethic statement
The Scientific Ethics Committee for Health Sciences at the Pontificia Universidad Católica de Chile reviewed and approved study protocol (Resolution Act: protocol ID 2011120007 of January 07, 2021).
Data sources
A retrospective study was conducted nationwide from hospitalized cases diagnosed with chronic CD from 2010 to 2020 (available at https://https://deis.minsal.cl/#datosabiertos). These data include hospitalizations from public and private hospitals, and the diagnoses were coded under the International Classification of Diseases (ICD-10). Two main diagnoses were included for chronic stages, CD with heart involvement (B57.2) and CD with digestive system involvement (B57.3). Acute diagnoses (B57.0 and B57.1) were not included given the interrupted vector transmission status in Chile according to official reports, so these diagnoses are likely to be overestimated as a result of reporting errors [8]. Also, P00.2 was excluded since it corresponds to congenital CD but also includes other congenital diagnoses. No records for Z22.8 were observed, as it applies to asymptomatic patients who do not require hospitalization for complications associated with the disease.
It is important to note that there may be one or more discharges for the same patient in the database due to re-admission. Nevertheless, the data was analyzed at the patient level, and re-admission data was consolidated into a single observation. Thus, information such as sex, age, municipality/region of residence and hospitalization, and date of discharge was maintained from the first record. Given that the data used had an identification code, it was possible to estimate the total number of admissions, the length of stay (sum of days hospitalized), the number of surgeries during the period, and in-hospital mortality. Number of surgeries as a numerical variable, corresponds to the number of surgeries the patient had during the whole study period, as a categorical variable, if he/she had any intervention during the period (yes/no). Hospital mortality refers to whether the patient died (yes/no) in the last discharge recorded in the study period.
Data analysis
Demographic and clinical variables were described using proportions for categorical variables, and mean, standard deviation or median and range for numerical variables. Differences in proportions, mean and median were assessed with the Chi-squared test (X2), Student’s t-test, and Wilcoxon rank test, respectively. Crude and sex- and age-adjusted annual hospitalization rates were calculated through direct standardization using the World Health Organization (WHO) World Standard population and the national population data from the National Institute of Statistics (INE; Instituto Nacional de Estadísticas) [19,20]. Using “Kendall” package in R [21,22], the Mann–Kendall test was conducted to analyze the trend of sex and age-adjusted hospitalization rates from 2010 to 2020, aiming to identify the increasing and/or decreasing pattern over the period.
Average rates of hospitalizations were estimated along the entire period according to the residence and hospitalization municipality. The global Moran’s Index was used to assess the presence of global spatial autocorrelation for chronic CD. Values close to zero indicate spatial randomness; values approaching +1 indicate positive spatial autocorrelation and, those approaching −1, negative spatial autocorrelation [23]. Local Indicators of Spatial Association (LISA) was used to detect municipalities with significant spatial autocorrelation. Four types of clustering were identified: 1) High-High (HH) clusters occur where a municipality with high rate was surrounded by other municipalities with high values; 2) Low-Low (LL) clusters occur where a municipality with low rate was adjacent to municipalities with low values; 3) High-Low (HL) outliers occur where a high rate municipality was surrounded by low rate municipalities, and 4) Low-high (LH) outliers occur where a low rate municipality was near high values municipalities. GeoDa v1.18 and QGIS v3.34 software was used for spatial analysis [24].
Simple and multiple logistic models were conducted to understand the risk factors for in-hospital mortality and surgical intervention. The explanatory variables considered in each model included: sex, age, re-admission, and diagnosis. A stepwise model selection procedure was used to determine the most parsimonious explanatory model. Models were ranked employing Akaike Information Criterion (AIC), with the lowest AIC value considered best fitting the data. Odds ratios and 95% confidence intervals (95% CI) were reported. All analyses were conducted using R version 4.3.2 [21]. The level of significance was set at 0.05.
Results
A total of 527 hospitalized patients were observed between 2010 and 2020, corresponding to 624 hospitalizations (15.2% had re-admission) (Table 1). CD with digestive involvement was the most reported diagnosis (55.8%). Hospitalizations were slightly more frequent in men for both digestive and cardiac diagnoses, but this difference was not significant (p = 0.149). The mean age of cases for the first hospitalization was significantly higher for digestive diagnoses than CD with heart involvement (68.5 and 64.3 years, respectively). When classified by age group, the highest percentage of hospitalizations was observed in patients aged 60–79 (p = 0.015). Overall, in-hospital mortality was 9.1%, higher for CD with cardiac involvement (12.4%) in contrast to digestive diagnosis (6.5%).
The total length of stay during the study period varied between 1 and 654 days, with a median of seven days, which was higher for CD with digestive involvement. This diagnosis also had the highest percentage of surgical intervention, 48.1% compared to 16.4% for CD with cardiac involvement (χ2 = 55.2; p<0.001). In addition, the most common surgical procedure for digestive diagnosis was hemicolectomy (21%) and colon descent with preservation of the sphincter (15%) whereas for the cardiac diagnosis, the most frequent procedures were pacemaker placement (47.5%) and pacemaker generator replacement (17.5%) (Table 2).
The annual hospitalization rate (age- and sex-adjusted) for CD over 11 years was 0.26 per 100,000 inhabitants (Fig 1 and S1 Table), and it was slightly higher for male patients (0.33 per 100,000) compared to female patients (0.19 per 100,000). The Mann-Kendall index (Table 3) showed a significant decreasing trend in overall hospitalizations over the years (t = -0.673). Although both sexes showed a decrease, it was only significant for females (t = -0.564).
The error bars represent confidence intervals (CI 95%).
Hospitalizations were concentrated in the northern municipalities of the country. The average adjusted rate for the municipality of residence was 0.47 (ranging from 0 to 21.89), and the average rate for the municipality of hospitalization, it was 0.24 (ranging from 0 to 15.2). Patients hospitalized by CD resided in 26.4% (91) of the 345 Chilean municipalities (Fig 2a and S2 Table), although their hospitalizations occurred in only 12% (41) of them (Fig 2b and S2 Table). The Global Moran’s Index for the study period showed a positive spatial autocorrelation for the municipality of residence (0.449, p = 0.001) (Fig 3a). A HH cluster that included 20 municipalities located in three regions (Atacama, Coquimbo, and Valparaíso) and three HL clusters widely distributed were identified. Only one LH cluster was identified in the Coquimbo region, surrounded by municipalities with high rates. Moreover, hospitalizations showed a significant, but slightly lower spatial autocorrelation (0.254, p = 0.001) (Fig 3b). HH clusters that included 10 municipalities, located in two regions (Coquimbo and Valparaiso). This map does not show areas where autocorrelation is not significant (grey polygons), it does not imply the absence of hospitalizations in the municipality.
The map was made using QGIS v3.34. The shapefile of the base layer used in this map is freely available from https://www.ine.gob.cl/herramientas/portal-de-mapas/geodatos-abiertos.
The map was made using QGIS v3.34. The shapefile of the base layer used in this map is freely available from https://www.ine.gob.cl/herramientas/portal-de-mapas/geodatos-abiertos.
Results from univariate and multivariate models are presented in Tables 4 and 5. The univariate analysis indicates significant associations of in-hospital mortality for chronic CD with increased age (OR: 1.04; 95% CI: 1.02–1.1), and heart-involvement diagnosis (OR: 2.05; 95% CI: 1.1–3.8) compared to digestive diagnosis. The best multivariate models to explain in-hospital mortality included significant associations with increased age (OR: 1.04; 95% CI: 1.01–1.07) and heart-related diagnosis (OR: 2.3; 95% CI: 1.2–4.5).
Regarding surgical intervention, univariate models showed a significant association in male patients (OR: 1.7; 95% CI: 1.2–2.5), an increased number of discharges (OR: 1.8; 95% CI: 1.3–2.7), and digestive diagnosis (OR: 4.7; 95% CI: 3.1–7.3). In contrast, the best multivariate model indicated an increased risk of surgical intervention in males (OR = 1.6; 95% CI 1.1–2.4), digestive diagnosis (OR = 4.4; 95% CI: 2.9–6.9).
Discussion
This study is the first that deeply analyze CD hospitalization discharges in Chile and one of the few in Latin America. CD was observed in 0.26 per 100,000 Chilean inhabitants over the study period (2010–2020), with a decreasing trend over time, and slightly higher in men than women. We found that chronic CD with digestive system involvement was the most common clinical form, although the cardiac diagnosis represents the highest risk of in-hospital mortality. Our results suggest that the highest rates of hospitalizations were observed among males, advanced age groups, and in Chilean municipalities that encompassing important CD endemic areas in the past.
The rates of hospitalizations due to CD presented here seem rather modest compared to the hospitalization rate for other infectious diseases in Chile [25–27]. Nevertheless, these results include only principal diagnoses and do not consider secondary diagnoses, which in the latest reports were 271 during the 2018–2021 period, 1.7 times higher than the 156 principal diagnoses in the same period [28]. Furthermore, it is widely recognized that CD is significantly underdiagnosed [29]. For instance, the WHO estimated that in 2010, 119,660 people were infected by T. cruzi [30], and more recent projections by Gomez-Ochoa et al. (2022) suggest an increase to 247,197 cases [2]. Nevertheless, despite these substantial estimations, around 1,500 cases are officially reported to the surveillance system annually [31]. Moreover, several cases were misclassified as acute CD and, consequently, excluded from the analysis. Finally, the interpretation of these results must consider that in the chronic phase, approximately 70% of seropositive individuals are asymptomatic (indeterminate form), whereas 30% develop serious cardiac and/or digestive pathologies [32]. Therefore, hospitalizations occur predominantly in cases of chronic diagnoses with severe symptoms that frequently require special care or surgical interventions [16].
Based on the figures mentioned above, it is crucial to highlight the financial burden of CD on the healthcare system. Ecuador has estimated US$ 300 per day hospitalized whereas Brazil reported a median cost of US$ 550 per hospitalization event, increasing to US$ 800 when surgical procedures are involved [16,17]. In Chile, the median cost per day of hospital stay is approximately US$ 400 [33,34]. Considering the total of 624 discharges, and the fact that patients diagnosed with CD usually stay in the hospital for a median of seven days, an approximate cost of US$1.7 million could be estimated for the study period, only in principal diagnoses.
The hospitalizations for chronic CD gradually decreased over the period, which may be partially attributed to improvements in the diagnosis and opportune treatment, which prevents the development of future complications, and a better understanding of the disease’s natural history. Regarding spatial distribution, there was an important autocorrelation in CD hospitalizations among the Chilean municipalities. The findings of our study revealed an important disparity between the number of municipalities where patients reside and the considerably smaller number of municipalities where hospitalization occurs. Residence municipalities are restricted to the northern zone, where high mortality has also been reported [13]. This distribution can be explained by the fact that these are municipalities with high endemicity and abundant vector transmission over the past decades [35–39]. Studies in endemic countries have reported strong spatial associations between CD cases related to environmental factors and housing characteristics [16,40,41], whereas hospitalizations are more concentrated in capitals and larger cities where complex medical care, equipment, and specialists are more likely available. This phenomenon has been consistently observed in other CD endemic countries such as Bolivia and Brazil [16,42,43]. On the other hand, individuals from socially disadvantaged backgrounds and rural origins, who already face challenges in health care access in general, encounter additional difficulties in accessing hospitals. In addition, Herazo et al. (2023) reported a 5.5 times higher of economic cost when patients were treated in a specialized reference hospital compared to when they were treated in a local primary health care hospital [14].
The spatio-temporal dynamic of CD is similar in hospitalizations and morality but differs for prevalence and notified cases. Previous studies have shown that the prevalence has remained stable over the last 65 years, with an increase in its incidence [44]. Additionally, epidemiological reports indicate that the number of notified cases has slightly increased during the last few years, except for 2020, when it decreased by 56.3% attributed to the COVID-19 pandemic [28]. As a consequence, two crucial components for the spatio-temporal distribution of CD can be identified: internal migration [45] and the heterogeneous implementation of surveillance measures in the country. The screening of blood donors began in the high endemic area in 1996 and it was extended to the entire country in 2008 [8]. Whereas screening for pregnant women started in high endemic areas in 2014 and it was extended to the entire country in 2018 [46]. In addition, the incorporation of new ICD-10 codes for asymptomatic and congenital cases in 2011, and improvements in access and coverage of healthcare services and treatment could modify these trends. All these aspects should be considered in the future of CD epidemiology and the public health system because the improvement in diagnosed cases in low endemic areas could prevent complications that require hospitalization in the future. Therefore, health personnel throughout Chile need to be trained. Also, future studies should consider the delay in CD diagnosis due to the COVID-19 pandemic, an observed phenomenon in other pathologies [47,48], since it could lead to an increase in preventable hospitalizations and deaths.
The most frequent diagnosis was CD with digestive system involvement, in contrast to chronic CD with heart involvement. This finding aligns with existing literature, which highlights that the digestive diagnoses are predominantly observed in Southern Cone countries such as Argentina, Bolivia, Paraguay, Perú, and Brazil [6,49]. However, it is important to note that the cardiac form is the most common and extensively studied diagnosis [6]. Differences in manifestations among countries have been linked to the geographical distribution of the parasite strain [50]. Sex was not associated with hospitalization diagnosis. However, previous national and international literature has shown that severity and mortality are significantly higher in men [13,40,42]. The higher prevalence and severe manifestations in men have been attributable to greater exposure due to mobility and circulation in places that favor T. cruzi transmission [42]. A significant aspect that may contribute to the observed frequency of diagnoses is that digestive CD generates a higher level of clinical suspicion. Infection with T. cruzi is globally recognized as the most common cause of acquired megacolon [51] and is the most frequent in Chile [52]. Consequently, when megacolon is detected, the probability of it being accurately reported as CD is better. On the other hand, cardiac symptoms such as arrhythmias or stroke can be attributed to numerous concurrent causes, including hypertension and atherosclerosis [15,53]. This complexity can pose challenges in diagnosis, potentially leading to underdiagnosis.
In the multivariate models, in-hospital mortality risk increases with age and in patients with cardiac involvement. The increase in mortality due to age is consistent, since the disease requires a prolonged period to develop, commonly between the third and fifth decades of life [16,17,40,54], This risk is further compounded by comorbidities such as hypertension, dyslipidemia, and ischemic conditions, which are also associated with CD in older patients [15,53]. Probably, these individuals were infected during the period of significant triatomine infestation in Chile until 1999, similar to the situation described in Brazil [16,40]. Our findings revealed a 2.6 times higher in-hospital mortality in cardiac diagnoses compared to digestive forms. This is consistent due to the cardiac diagnosis has been described as the most important clinical form of CD due to its high morbidity which leads to high work absenteeism and reduced quality of life [55,56]. Limited studies have reported in-hospital mortality. Bierrenbach et al. (2022) [16] reported an in-hospital mortality of 5.8% for the digestive form in Brazil, and Vasconez-Gonzalez et al. (2023) reported a mortality of 69.4% for severe cases[17]. However, general mortality (in and out-of-hospital) has been consistently reported to be higher in cardiac diagnosis, for instance, in Chile, Salas (2020) described the cardiac form as the most significant specific cause of CD Núñez-González et al. (2018) [41]. Additionally, reported that in Ecuador 98% of deaths were attributed to chagasic cardiopathy, compared to 2% for digestive forms, and in Brazil, Martins-Melo et al. (2021) reported 80.9% of deaths related to heart involvement compared to the 12.8% related to digestive system involvement [57].
The risk of undergoing surgery is notably higher in male patients with digestive system involvement. Specifically, the probability of undergoing surgery for digestive involvement was 4.2 times higher than for cardiac diagnoses, with 48.1% of hospitalizations involving digestive issues necessitating at least one surgical intervention, compared to 16.4% for cardiac cases. These disparities align with findings from related studies, for example, Bierrenbach et al. (2022) found that 52% of patients underwent surgical procedures for digestive diagnosis, a higher percentage than the 19.7% reported by Lima et al. (2021) for Chagas heart disease [18]. The literature suggests various surgical treatments for both diagnoses [16]. Our findings reveal that the most common surgeries in digestive diagnoses were hemicolectomy and colon descent with 21% and 15% respectively. However, more than 20 types of procedures were reported. In contrast, cardiac diagnoses involved around 10 procedures, with 47.5% involving pacemaker implantation and 17.5% requiring pacemaker battery replacements. Interestingly, despite heart transplant being described as the preferred treatment for individuals with end-stage heart failure [58], such procedures have not been performed on CD patients in Chile, as well as the use of implantable cardiac defibrillators (ICDs), used mainly in patients with malignant ventricular arrhythmias and high risk of dead [59–61].
Some strengths of our study are the use of national data and the use of CIE-10 codes, which enabled precise diagnosis identification, including the digestive form. Despite being the most common diagnosis in Chile and other countries of the region, this form has been globally neglected, with research focused on cardiac involvement [16,62]. In contrast, this study also has some limitations. Firstly, consider that Chagas disease (CD) is subject to underdiagnosis and underreporting in the surveillance system, which may extend to hospital reports. Additionally, the available data only include the principal diagnosis, excluding patients with CD as a secondary diagnosis from this study. In addition, numerous cases were erroneously categorized as acute CD. The misclassification of cases as acute CD highlights a significant error in the diagnosis process. A comprehensive understanding and in-depth knowledge of the disease are pivotal. Enhancing this understanding can lead to improved diagnosis and accurate classification of CD cases, resulting in more precise estimates and facilitating research efforts. Secondly, our use of information such as diagnosis, age, and recurrence of first discharge may introduce a bias by not accounting for changes in the characteristics of subsequent discharges.
In conclusion, our study presents a detailed analysis of the hospitalizations attributable to chronic CD in Chile, revealing that it remains a major epidemiological and public health challenge, especially in high endemic areas, and particularly for severe forms of the disease that can rapidly progress to organ complications and death. We hope our findings can help physicians recognize clinical conditions associated with higher risk for mortality and need for surgical intervention, to implement more adequate and rapid patient triaging. Efforts should focus on improving access to timely diagnoses and treatments, address the pressing need for more healthcare infrastructure and specialized professionals in high-risk regions, in order to reduce disease progression and lessen the burden of CD in hospitals.
Supporting information
S1 Table. Number and Age- and sex-adjusted hospitalization rate for chronic Chagas disease in Chile from 2010 to 2020.
https://doi.org/10.1371/journal.pntd.0012124.s001
(DOCX)
S2 Table. Average adjusted rate of hospitalizations of Chagas disease in Chile from 2010 to 2020.
https://doi.org/10.1371/journal.pntd.0012124.s002
(DOCX)
Acknowledgments
We would like to thank Dr. Jaime Cerda, Dra. Paola Viviani, Dr. Jaime Labarca, Dra. Claudia Bambs and Dr. Gonzalo Valdivia from the Pontificia Universidad Católica de Chile (UC), Dr. Mauricio Canals from the Universidad de Chile, and Eliana L. Parra Barrera from the Instituto Nacional de Salud of Colombia and UC, for their help in interpreting the results, corrections, and comments on this work.
References
- 1. Antinori S, Galimberti L, Bianco R, Grande R, Galli M, Corbellino M. Chagas disease in Europe: A review for the internist in the globalized world. Eur J Intern Med. 2017;43:6–15. pmid:28502864
- 2. Gomez-Ochoa SA, Rojas LZ, Echeverria LE, Muka T, Franco OH. Global, Regional, and National Trends of Chagas Disease from 1990 to 2019: Comprehensive Analysis of the Global Burden of Disease Study. Glob Heart. 2022;17(1):59. pmid:36051318
- 3.
World Health Organization. Chagas disease (also known as American trypanosomiasis) 2023 [https://www.who.int/news-room/fact-sheets/detail/chagas-disease-(american-trypanosomiasis).
- 4. Bruneto EG, Fernandes-Silva MM, Toledo-Cornell C, Martins S, Ferreira JMB, Correa VR, et al. Case-fatality From Orally-transmitted Acute Chagas Disease: A Systematic Review and Meta-analysis. Clin Infect Dis. 2021;72(6):1084–92. pmid:32772104
- 5. Apt W, G I, Jercic MI, M L, V P, H I, et al. Guías clínicas de la Enfermedad de Chagas. Parte I. Introducción y epidemiología. Revista Chilena De Infectologia—REV CHIL INFECTOL. 2008;25.
- 6. Nunes MCP, Beaton A, Acquatella H, Bern C, Bolger AF, Echeverría LE, et al. Chagas Cardiomyopathy: An Update of Current Clinical Knowledge and Management: A Scientific Statement From the American Heart Association. Circulation. 2018;138(12):e169–e209. pmid:30354432
- 7.
Rassi A, de Rezende JM, Luquetti AO, Rassi A. 28—Clinical phases and forms of Chagas disease. In: Telleria J, Tibayrenc M, editors. American Trypanosomiasis Chagas Disease (Second Edition). London: Elsevier; 2017. p. 653–86.
- 8.
Ministerio de Salud. Norma General Técnica Control y Prevención Nacional de la Enfermedad de Chagas. Ministerio de Salud; 2014.
- 9. Correa JP, Bacigalupo A, Yefi-Quinteros E, Rojo G, Solari A, Cattan PE, Botto-Mahan C. Trypanosomatid Infections among Vertebrates of Chile: A Systematic Review. Pathogens. 2020;9(8):661. pmid:32824290
- 10. Reyes C, Gonzalez CR, Alvarado S, Flores L, Martin C, Oyarce A, et al. Chagas disease in northern Chile: Detection of Trypanosoma cruzi in children, dogs and triatomine bugs. Acta Trop. 2022;235:106631. pmid:35948082
- 11. Opazo A, Bacigalupo A, Urrutia S, Chávez G. Detection of Trypanosoma cruzi infection by PCR in Canis lupus familiaris and their ectoparasites in Chile. Medical and Veterinary Entomology. 2022;36(1):88–96. pmid:34716716
- 12.
Instituto de Salud Pública. Vigilancia de laboratorio de la infección por Trypanosoma cruzi Chile, 2012–2019. 2020.
- 13. Salas RP. [Epidemiology of Chagas disease: high mortality and incidence rate, Coquimbo Region]. Rev Chilena Infectol. 2020;37(4):402–12.
- 14. Herazo R, Rey A, Galvão D, Camargo MM, Pinzón NJC, Sanchez ACR, et al. Analysis of the costs incurred by patients with Chagas disease: The experience in endemic municipalities in Colombia. Acta Tropica. 2023;245:106963. pmid:37302690
- 15. Portela LF, Mesquita MB, Giraldes JM, Varela MC, Brasil PEAA, Costa AR, et al. Socio-epidemiological factors and comorbidities associated with Chagas disease manifestations in two urban reference health care centres in Rio de Janeiro, Brazil. Transactions of The Royal Society of Tropical Medicine and Hygiene. 2022;117(2):102–10.
- 16. Bierrenbach AL, Quintino ND, Moreira CHV, Damasceno RF, Nunes MdCP, Baldoni NR, et al. Hospitalizations due to gastrointestinal Chagas disease: National registry. PLOS Neglected Tropical Diseases. 2022;16(9):e0010796. pmid:36121897
- 17. Vasconez-Gonzalez J, Izquierdo-Condoy JS, Fernandez-Naranjo R, Gamez-Rivera E, Tello-De-la-Torre A, Guerrero-Castillo GS, et al. Severe Chagas disease in Ecuador: a countrywide geodemographic epidemiological analysis from 2011 to 2021. Front Public Health. 2023;11:1172955. pmid:37143984
- 18. Lima NA, Martin DT, de Castro RL, Ladzinski A, Ring A, Vos D, Melgar TA. Hospitalization for Chagas Heart Disease in the United States From 2002 to 2017. JAMA Netw Open. 2021;4(10):e2129959. pmid:34665243
- 19. Ahmad OB, Boschi Pinto C, Lopez AD. Age Standardization of Rates: A New WHO Standard. GPE Discussion Paper Series: No 31. 2001:10–2.
- 20.
Proyecciones de población [Internet]. https://www.ine.gob.cl/estadisticas/sociales/demografia-y-vitales/proyecciones-de-poblacion.
- 21.
R Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing; 2022.
- 22.
McLeod A. Kendall: Kendall Rank Correlation and Mann-Kendall Trend Test. 2.2.1 ed2022.
- 23. Chen Y. New approaches for calculating Moran’s index of spatial autocorrelation. PLoS One. 2013;8(7):e68336. pmid:23874592
- 24. Anselin L, Syabri I, Kho Y. GeoDa: An Introduction to Spatial Data Analysis. Geographical Analysis. 2006;38(1):5–22.
- 25. Jaramillo T, Vidal C, Moya P, Hoffmeister L. Evolución temporal de los egresos hospitalarios por enfermedades infecciosas en Chile, 2004–2014. Revista chilena de infectología. 2018;35:358–62.
- 26. Oyarce A, Ayala S, Canals M. Riesgo y distribución geográfica de neurocisticercosis en Chile según egresos hospitalarios (2002–2019). Revista médica de Chile. 2022;150:222–31.
- 27. Colombe S, Togami E, Gelaw F, Antillon M, Fuentes R, Weinberger DM. Trends and correlates of cystic echinococcosis in Chile: 2001–2012. PLOS Neglected Tropical Diseases. 2017;11(9):e0005911. pmid:28915247
- 28.
Ministerio de Salud. Informe Epidemiológico Anual. Enfermedad de Chagas 2020. Ministerio de Salud, Departamento de Epidemiología; 2021.
- 29. Capuani L, Bierrenbach AL, Pereira Alencar A, Mendrone A, Ferreira JE, Custer B, et al. Mortality among blood donors seropositive and seronegative for Chagas disease (1996–2000) in São Paulo, Brazil: A death certificate linkage study. PLOS Neglected Tropical Diseases. 2017;11(5):e0005542.
- 30. World Health Organization. Chagas disease in Latin America: an epidemiological update based on 2010 estimates. Wkly Epidemiol Rec. 2015;90(6):33–43. pmid:25671846
- 31.
Ministerio de Salud de Chile. Informe de Vigilancia integrada Anual Enfermedad de Chagas Periodo 2020. Ministerio de Salud de Chile; 2022.
- 32.
World Health Organization. Research priorities for Chagas disease, human African trypanosomiasis and leishmaniasis. Geneva: World Health Organization; 2012 2012.
- 33. Alvear S, Canteros J, Jara J, Rodríguez P. Costos reales de tratamientos intensivos por paciente y día cama. Revista médica de Chile. 2013;141:202–8.
- 34. del Campo Rivas MN, Alarcon Tapia K, Escobar Coccio M, Bañados Leiro Y, Silva Ríos AP. Evaluación económica del costo de estadía hospitalaria en una unidad de paciente crítico. Ciencia y enfermería. 2020;26.
- 35. Garrido R, Bacigalupo A, Pena-Gomez F, Bustamante RO, Cattan PE, Gorla DE, Botto-Mahan C. Potential impact of climate change on the geographical distribution of two wild vectors of Chagas disease in Chile: Mepraia spinolai and Mepraia gajardoi. Parasit Vectors. 2019;12(1):478. pmid:31610815
- 36. Hernández J, Núñez I, Bacigalupo A, Cattan PE. Modeling the spatial distribution of Chagas disease vectors using environmental variables and people’s knowledge. International Journal of Health Geographics. 2013;12(1):29.
- 37.
Instituto de Salud Pública. Vigilancia de Enfermedad de Chagas 2005–2013: Componente vectorial. Instituto de Salud Pública; 2014. Contract No.: 6.
- 38.
Instituto de Salud Pública. Vigilancia de Enfermedad de Chagas 2014–2017: Componente vectorial. 2018. Contract No.: 3.
- 39. Reyes R, Yohannessen K, Ayala S, Canals M. Estimaciones de la distribución espacial del riesgo relativo de mortalidad por las principales zoonosis en Chile: enfermedad de Chagas, hidatidosis, síndrome cardiopulmonar por hantavirus y leptospirosis. Revista chilena de infectología. 2019;36:599–606.
- 40. Goes JAP, Andrade LA, Carvalho MS, Araujo DDC, Santos MB, Tanajura DM, et al. Spatial patterns and temporal tendency of mortality related to Chagas disease in an endemic area of northeastern Brazil. Trop Med Int Health. 2020;25(10):1298–305. pmid:32726864
- 41. Núñez-González S, Gault C, Simancas-Racines D. Spatial analysis of dengue, cysticercosis and Chagas disease mortality in Ecuador, 2011–2016. Transactions of The Royal Society of Tropical Medicine and Hygiene. 2018;113(1):44–7.
- 42. Cardoso LP, Paiva TR, Nogueira LMV, Guimarães R, Rodrigues ILA, André SR. Spatial distribution of Chagas disease and its correlation with health services. Rev Esc Enferm USP. 2020;54:e03565. pmid:32609183
- 43. Jimeno I, Mendoza N, Zapana F, de la Torre L, Torrico F, Lozano D, et al. Social determinants in the access to health care for Chagas disease: A qualitative research on family life in the "Valle Alto" of Cochabamba, Bolivia. PLoS One. 2021;16(8):e0255226. pmid:34383775
- 44. Canals M, González C, Canals L, Canals A, Cáceres D, Alvarado S, et al. ¿Qué dicen los números de la evolución temporal de la enfermedad de Chagas? Revista chilena de infectología. 2017;34:120–7.
- 45. Canals M, Canals A, Ayala S, Valdebenito J, Alvarado S, Caceres D. Changes in Age and Geographic Distribution of the Risk of Chagas Disease in Chile from 1989 to 2017. Vector Borne Zoonotic Dis. 2021;21(2):98–104. pmid:33226892
- 46.
Ministerio de Salud. Informe de vigilancia integrada de Plan Nacional de Enfermedad de Chagas 2018–2019. Ministerio de Salud; 2020.
- 47. Zaidel EJ, Forsyth CJ, Novick G, Marcus R, Ribeiro ALP, Pinazo MJ, et al. COVID-19: Implications for People with Chagas Disease. Glob Heart. 2020;15(1):69. pmid:33150134
- 48.
Colegio Médico de Chile. El impacto del COVID-19 en el sistema de salud y propuestas para la reactivación. Colegio Médico de Chile; 2020.
- 49. Meymandi S, Hernandez S, Park S, Sanchez DR, Forsyth C. Treatment of Chagas Disease in the United States. Curr Treat Options Infect Dis. 2018;10(3):373–88. pmid:30220883
- 50. Messenger LA, Miles MA, Bern C. Between a bug and a hard place: Trypanosoma cruzi genetic diversity and the clinical outcomes of Chagas disease. Expert Rev Anti Infect Ther. 2015;13(8):995–1029. pmid:26162928
- 51.
Foxx-Orenstein AE. Chapter 120—Ileus and Pseudo-obstruction. In: Feldman M, Friedman LS, Brandt LJ, editors. Sleisenger and Fordtran’s Gastrointestinal and Liver Disease (Ninth Edition). Philadelphia: W.B. Saunders; 2010. p. 2121–44.e5.
- 52. Apt W, G I, Jercic MI, M L, V P, H I, et al. Guías clínicas de la enfermedad de Chagas: Parte II. Enfermedad de Chagas en el adulto, la infancia y adolescencia / Guidelines for the Chagas disease. Part II. Chagas disease in adults, infancy and adolescence. Revista Chilena De Infectologia—REV CHIL INFECTOL. 2008;25.
- 53. Ribeiro AL, Marcolino MS, Prineas RJ, Lima-Costa MF. Electrocardiographic abnormalities in elderly Chagas disease patients: 10-year follow-up of the Bambui Cohort Study of Aging. J Am Heart Assoc. 2014;3(1):e000632. pmid:24510116
- 54. Apt W, Arribada A, Zulantay I, Saavedra M, Araya E, Solari A, et al. Trypanosoma cruzi burden, genotypes, and clinical evaluation of Chilean patients with chronic Chagas cardiopathy. Parasitology Research. 2015;114(8):3007–18. pmid:25935204
- 55. Almeida I, Oliveira LFL, Figueiredo PHS, Oliveira RDB, Damasceno TR, Silva WT, et al. The health-related quality of life in patients with Chagas disease: the state of the art. Rev Soc Bras Med Trop. 2022;55:e0657. pmid:35293550
- 56. Silva WT, Oliveira LFF, Xavier DM, Figueiredo PHS, Lacerda ACR, Mendonca VA, et al. Health-Related Quality of Life Reported by Patients With Chagas Disease: A Systematic Review of Qualitative Evidence With GRADE Recommendations. Rev Soc Bras Med Trop. 2022;55. pmid:36542018
- 57. Martins-Melo FR, Castro MC, Werneck GL. Levels and trends in Chagas disease-related mortality in Brazil, 2000–2019. Acta Trop. 2021;220:105948. pmid:33971159
- 58. Benck L, Kransdorf E, Patel J. Diagnosis and Management of Chagas Cardiomyopathy in the United States. Current Cardiology Reports. 2018;20(12):131. pmid:30311008
- 59. Cardinalli-Neto A, Greco OT, Bestetti RB. Automatic implantable cardioverter-defibrillators in Chagas’ heart disease patients with malignant ventricular arrhythmias. Pacing Clin Electrophysiol. 2006;29(5):467–70. pmid:16689840
- 60. García-Chamorro LG, Zaidel EJ, Gheco L, Oliva MA, de-la-Vega A, Orosco A, et al. [First appropriate implantable defibrillator shocks in patients with Chagasic heart disease]. Arch Cardiol Mex. 2022;92(3):342–8.
- 61. Rassi A, Rassi A, Marin-Neto JA. Chagas disease. The Lancet. 2010;375(9723):1388–402.
- 62. Pinazo MJ, Lacima G, Elizalde JI, Posada EJ, Gimeno F, Aldasoro E, et al. Characterization of digestive involvement in patients with chronic T. cruzi infection in Barcelona, Spain. PLoS Negl Trop Dis. 2014;8(8):e3105. pmid:25144648