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While the literature has largely focused on legal challenges to public healthcare rationing decisions, claims against private insurance companies in voluntary health insurance (VHI) schemes have received less attention. This paper aims to fill this gap by analysing a representative sample of 1,547 court of appeal decisions related to treatment funding claims filed against private insurance companies in Brazil from 2018 to 2021. Courts decided 83.6% of cases in favour of patients, ordering VHI companies to fully fund the claimed treatment. Patients´ rate of success is even higher (96%) in the cases in which insurance companies denied coverage on the grounds that the claimed treatment was not listed in the benefits package mandated by regulation. Court decisions present additional challenges to setting priorities through health technology assessment and explicit packages in the VHI sector. This has broader implications for health care equality and access in Brazil.
This paper reports the methods and preliminary findings of Germina, an ongoing cohort study to identify biomarkers and trajectories of executive functions and language development in the first 3 years of life. 557 mother-infant dyads (mean age of mothers 33.7 years, 65.2% white, 48.7% male infants) have undergone baseline and are currently collecting data for other timepoints. A linear regression was used to predict baseline Bayley-III using scores derived from data-driven sparse partial least squares utilizing a multiple holdout framework of 15 domains. Significant associations were found between socioeconomic/demographic characteristics (B = 0.29), epigenetics (B = 0.11), EEG theta (B = 0.14) and beta activity (B = 0.11), and microbiome functional pathways (B = 0.08) domains, and infant development measured by the Bayley-III at T1, suggesting potential interventions to prevent impairments.
Data on arterial thromboembolism in children undergoing cardiac surgery are limited. We sought to characterise, and estimate rates of, incident and recurrent arterial thromboembolism, and describe antithrombotic therapies for treatment in a large multinational population of children with CHD undergoing cardiac surgery.
Methods:
We queried the TriNetX global electronic health record (derived real-world data research platform) from 2017 to 2024 for patients less than 18 years of age and an index arterial thromboembolism within 1 year of congenital cardiac surgery. Data were descriptively analysed.
Results:
Of 20,102 children who underwent an index cardiac surgery for CHD, 206 (1.1%) developed an index arterial thromboembolism within 1 year of surgery: 111 (53.9%) had only arterial thromboembolism and 95 (46.1%) had concomitant venous thromboembolism. The most common anatomic site for arterial thromboembolism was the lower extremity (n = 141, 68.4%), and the most common surgery was the Glenn procedure (n = 35, 17%). Unfractionated heparin was utilised in 136 (67 %) and aspirin in 91 (44.2%) patients. Recurrent thromboembolism occurred in 36 (17.5%) patients within 1 year of the index thromboembolism.
Conclusions:
Among children undergoing congenital cardiac surgery, arterial thromboembolism was rare (1% of patients), but the 1-year risk of recurrent thromboembolism was high, at 17.5%. Multicentre prospective cohort studies are warranted to further evaluate risk factors for recurrent thromboembolism, to facilitate future risk-stratified interventional trials designed to reduce the high thromboembolism recurrence risk in these children.
Understanding the population structure and genetic diversity of green turtles is crucial for effective conservation. This study investigated the occurrence, genetic composition, and potential origins of green turtles (Chelonia mydas) in the Potiguar Basin, northeastern Brazil, based on stranding data from 2010 to 2019. Analysis revealed that 87.36% of the population consisted of juveniles, primarily females with a curved carapace length (CCL) between 30 and 59.9 cm. Genetic analysis of the mtDNA control region (481 bp, n = 39) revealed eight haplotypes, with CM-A8 (48.7%) and CM-A5 (30.8%) being the most common. This may be related to the geographic position of the Potiguar Basin, located in the ‘corner’ of the South American continent. High haplotype diversity and low nucleotide diversity were observed, consistent with other Brazilian foraging grounds. Mixed stock analysis identified Ascension Island as the primary source population, followed by Guinea-Bissau and Surinam. The results highlight the importance of the Potiguar Basin as a foraging area for green turtles and emphasize the need for comprehensive conservation strategies to protect this vulnerable population.
Brazil’s public health system serves most of the population, but 25 percent of citizens rely on private health insurance. The National Regulatory Agency for Private Health Insurance and Plans (ANS) regulates private medicine reimbursements, which diverge from the public sector threshold. In 2022, the National Committee for Health Technology Incorporation (CONITEC) set a willingness-to-pay benchmark of BRL40,000 (USD8,215) per quality-adjusted life-year. The ANS has no such benchmark, highlighting a pivotal gap in economic evaluations for private health care.
Methods
This quantitative study investigated the Incremental cost-effectiveness ratios (ICER) for reimbursed medicines in Brazil’s private health sector, comparing them with CONITEC’s benchmarks and international thresholds. Data were extracted from industry reimbursement submissions to the ANS and analyzed for statistical disparity and policy implications.
Results
Preliminary findings found an ICER peak of BRL619,900 (USD127,220) per quality-adjusted life-year for talazoparib, which is used to treat certain advanced breast cancers. This contrasted sharply with CONITEC’s established threshold, indicating a critical need to evaluate ANS policies.
Conclusions
Early results indicate that the ICERs for some medicines surpass CONITEC’s willingness-to-pay limit, suggesting that the ANS should consider establishing a defined cost-effectiveness threshold. This is imperative to harmonize with global standards and maintain sustainable health financing.
Despite medical advancements, endocarditis still results in high mortality rates. Surgery, while often essential, elevates the risk of hyperinflammation, sepsis, and cytokine release. The use of a cytokine filter to prevent this remains controversial. This study reviewed existing literature to assess the efficacy of cytokine filters and to support its integration into supplementary health services.
Methods
An exhaustive search of the MEDLINE, Cochrane Library, Embase, LILACS, and CytoSorbents Corporation databases was conducted to identify relevant meta-analyses and systematic reviews. The study focused on randomized controlled trials and case series studies assessing the efficacy of cytokine filtration. Key variables considered were the duration of antibiotic treatment, severity of endocarditis, and surgical treatment rationale. These factors were crucial for evaluating clinical outcomes and patient survival after surgery.
Results
The systematic reviews yielded mixed outcomes. Two found no benefits for hemoadsorption, while one found that it reduced mortality rates and intensive care unit stays based on observational studies. Randomized controlled trials, however, showed no significant impact for cytokine filters on mortality rates or postoperative hemodynamic parameters. In contrast, case series studies reported potential benefits, but these results were confounded by biases in patient allocation and failure to account for critical variables like antibiotic treatment duration, case severity, and surgical rationale. These discrepancies highlight the complexity of evaluating the effectiveness of cytokine filtration in surgical settings.
Conclusions
Randomized and non-randomized controlled trials on the role of cytokine filters in cardiac surgery for endocarditis reported contradictory findings. Only case series studies suggested benefits from cytokine filters, necessitating further high quality research before recommending their widespread use. Understanding the implications of these results is essential, underscoring the need for more rigorous studies to resolve these inconsistencies.
Informed healthcare policies in Brazil rely on robust health technology assessment (HTA), especially for conditions like non-small cell lung cancer (NSCLC). We present an efficiency frontier analysis to evaluate NSCLC treatments that correlates annual treatment costs with clinical outcomes, offering a systematic approach to enhance decision-making in the Brazilian healthcare context.
Methods
This quantitative study analyzed NSCLC drug costs within the Brazilian healthcare system and the clinical efficacy data of pivotal studies. The data were analyzed using Python and R software. The dataset comprised drug costs and hazard ratios for overall survival. After data preparation, which involved normalization and outlier management, we constructed an efficiency frontier by ranking drugs based on cost and effectiveness. A linear regression model was then developed to extrapolate this frontier, deriving a formula that predicts treatment costs for specified improvements in overall survival.
Results
The analysis delineated an efficiency frontier and revealed cost-effective NSCLC treatments in Brazil. The following linear regression equation was derived: overall survival = (1.033551 − 0.000003) × treatment cost (USD). This allows for the estimation of appropriate treatment costs for new therapies based on their expected clinical outcomes. This initial model provides a foundation for estimating the economic impact of new treatments.
Conclusions
This preliminary efficiency frontier analysis offers a novel perspective for evaluating NSCLC treatment strategies in Brazil to support sustainable healthcare policy decisions. The model is subject to limitations due to the absence of a systematic literature review. However, it represents an initial step towards a more comprehensive HTA framework. Further research should refine the model by including systematic data collection and analysis.
In Brazil, equitable access to medications is critical. There are significant pricing disparities between the National Health System and private health care, which are influenced by the National Committee for Health Technology Incorporation (CONITEC) and Law 14.307. This study investigated these disparities, with aim of proposing strategies for equitable access and sustainability in health care.
Methods
This analysis compared prices between the public and private sectors for trastuzumab and adalimumab. Public sector prices were obtained from the Health Prices Database (HPD) and private sector prices were obtained from the Unimed National Table of Materials and Medications (TNUMM), as of May 2023. The study evaluated the extent of pricing discrepancies, considering Drug Market Regulation Chamber ceiling prices and industry discounts.
Results
The cost of the trastuzumab biosimilar, KANJINTI® (Amgen Inc.), was BRL15.79 (USD3.24) per mg in the private sector, compared with BRL4.50 (USD0.92) per mg in the public sector (a 250% difference). The original version of adalimumab, HUMIRA® (AbbVie), was priced at BRL5,450.38 (USD1,120.53) in the TNUMM versus BRL2,445.46 (USD502.33) in the HPD (a 123% difference). The adalimumab biosimilar, HYRIMOZ® (Sandoz Inc.), was priced at BRL7,723.99 (USD1,586.87) in the TNUMM compared with BRL2,449.19 (USD503.05) in the HPD (a 215% price discrepancy).
Conclusions
The study highlights significant disparities in drug pricing between Brazil’s public and private healthcare sectors. These disparities affect the financial sustainability of private health entities and elevate costs for consumers, potentially increasing reliance on the National Health System. Policy revisions, price parity strategies, and further studies are vital for a sustainable healthcare system.
The age at first calving (AFC) is an important trait to be considered in breeding programmes of dairy buffaloes, where new approaches and technologies, such as genomic selection, are constantly applied. Thus, the objective of this study was to compare the predictive ability of different genomic single-step methods using AFC information from Murrah buffaloes. From a pedigree file containing 3320 buffaloes, 2247 cows had AFC records and 553 animals were genotyped. The following models were performed: pedigree-based BLUP (PBLUP), single-step GBLUP (ssGBLUP), weighted single-step GBLUP (WssGBLUP), and single-step Bayesian regression methods (ssBR-BayesA, BayesBπ, BayesCπ, Bayes-Lasso, and BayesRR). To compare the methodologies, the accuracy and dispersion of (G)EBVs were assessed using the LR method. Accuracy estimates for the genotyped animals ranged from 0.30 (PBLUP) to 0.39 (WssGBLUP). Predictions with the traditional model (PBLUP) were very dispersed from what was expected, while BayesCπ (0.99) and WssGBLUP (1.00) obtained the lowest dispersion. The results indicate that the use of genomic information can improve the genetic gain for AFC by increasing the accuracy and reducing inflation/deflation of predictions compared to the traditional pedigree-based model. In addition, among all genomic single-step models studied, WssGBLUP and single-step BayesA were the most advantageous methods to be used in the genomic evaluation of AFC of buffaloes from this population.
Climate factors, pesticides, and landscape in coffee agroecosystems directly affect the populations of the coffee leaf miner and its parasitoids. This study aimed to investigate the effects of climate factors, insecticide use, and landscape on natural parasitism, parasitoid diversity, and infestation of L. coffeella in coffee plantations in the Planalto region, Bahia, Brazil. Mined leaves were collected monthly in six coffee plantations with varying edge density, vegetation cover, landscape diversity in scales of 500 to 3000 m of radius, insecticide use, and climate factors. Closterocerus coffeellae, and Proacrias coffeae (Eulophidae) predominated in the pest's natural parasitism. Our record is the first for the occurrence of Stiropius reticulatus, Neochrysocharis sp. 1, Neochrysocharis sp. 2, and Zagrammosoma sp. in Bahia. Higher temperature and larger forest cover increased the coffee leaf miner infestation. Higher rainfall values, insecticide use, and landscape diversity decreased the pest infestations. Natural parasitism and species diversity are favoured by increase in temperature, forest cover, and edge density, while increase in rainfall, insecticide use, and landscape diversity lead them to decrease.The natural parasitism and diversity of parasitoid species of the coffee leaf miner have been enhancing in the areas with greater forest cover and edge density associated with low use of insecticides. The areas composed of different lands with annual croplands surrounding the coffee plantations showed less natural parasitism and parasitoid species diversity. The ecosystem services provided by C. coffeellae and P. coffeae in coffee crops areas require conservation and these species are potential bioproducts for applied biological control programmes.
Personality disorders are a group of psychological disorders characterised by a developmental nature, long-lasting impairment and emotional suffering. Personality disorders have an estimated prevalence rate of approximately 8% in community settings, but in in-patient settings the rate might be as high as 76%. Cognitive–behavioural therapies (CBTs) include psychotherapies that emphasise the identification and modification of maladaptive thought patterns and behaviours that contribute to the maintenance of psychological disorders. CBTs have demonstrated their effectiveness in treating various types of personality disorder. This article focuses on the nature of personality disorders and their categorial and dimensional assessment and neurobiology. We present three influential CBT models used in personality disorders: schema therapy, cognitive interpersonal therapy and dialectical behaviour therapy. For each one, we outline the rationale, intervention strategies and therapeutic techniques, with practical examples and summary tables to illustrate their application.
Congenital Zika is a devastating consequence of maternal Zika virus infections. Estimates of age-dependent seroprevalence profiles are central to our understanding of the force of Zika virus infections. We set out to calculate the age-dependent seroprevalence of Zika virus infections in Brazil. We analyzed serum samples stratified by age and geographic location, collected from 2016 to 2019, from about 16,000 volunteers enrolled in a Phase 3 dengue vaccine trial led by the Institute Butantan in Brazil. Our results show that Zika seroprevalence has a remarkable age-dependent and geographical distribution, with an average age of the first infection varying from region to region, ranging from 4.97 (3.03–5.41) to 7.24 (6.98–7.90) years. The calculated basic reproduction number, $ {R}_0 $, varied from region to region, ranging from 1.18 (1.04–1.41) to 2.33 (1.54–3.85). Such data are paramount to determine the optimal age to vaccinate against Zika, if and when such a vaccine becomes available.
To assess the association of obesogenic environmental characteristics around schools with body adiposity and adipokine concentrations in Brazilian children.
Design:
Cross-sectional study. Body adiposity was assessed using the dual-energy X-ray absorptiometry. Concentrations of leptin, adiponectin, retinol-binding protein 4 (RBP4) and chemerin were measured. Predominantly ultra-processed food (UPF) stores, public physical activity (PA) facilities, green spaces, walkability, traffic accidents and crime were evaluated. The neighbourhood unit was the 400 m (0·25 miles) road network buffer around schools. The association of environmental characteristics with body adiposity and adipokine concentrations was assessed by linear regression models using generalised estimating equations.
A higher density of predominantly UPF stores and a lower percentage of green space were associated with higher total (β: 0·12; 95 % CI 0·06, 0·18 and β: –0·10; 95 % CI –0·16, –0·04, respectively) and android body fat (β: 0·28; 95 % CI 0·13, 0·43 and β: –0·18; 95 % CI –0·32, –0·04, respectively). In addition, the densities of PA facilities and crime were inversely associated with leptin concentrations. Traffic accidents density and percentage of green spaces around schools had, respectively, a positive and an inverse association with concentrations of adiponectin and RBP4.
Conclusions:
Obesogenic environmental characteristics around schools were associated with total and android body fat, as well as with pro-inflammatory adipokine concentrations in Brazilian children from a medium-sized city.
This work aimed to study the role of different SARS-CoV-2 lineages in the epidemiology of multiple waves of the COVID-19 pandemic in Ribeirão Preto (São Paulo state), with comparison within Brazil and globally. Viral genomic sequencing was combined with clinical and sociodemographic information of 2,379 subjects at a large Brazilian hospital. On the whole 2,395 complete SARS-CoV-2 genomes were obtained from April 2020 to January 2022. We report variants of concern (VOC) and interest (VOI) dynamics and the role of Brazilian lineages. We identified three World Health Organization VOCs (Gamma, Delta, Omicron) and one VOI (Zeta), which caused distinct waves in this cohort. We also identified 47 distinct Pango lineages. Consistent with the high prevalence of Gamma in Brazil, Pango lineage P.1 dominated infections in this cohort for half of 2021. Each wave of infection largely consisted of a single variant group, with each new group quickly and completely rising to dominance. Despite increasing vaccination in Brazil starting in 2021, this pattern was observed throughout the study and is consistent with the hypothesis that herd immunity tends to be SARS-CoV-2 variant-specific and does not broadly protect against COVID-19.
Disorder named entity recognition (DNER) is a fundamental task of biomedical natural language processing, which has attracted plenty of attention. This task consists in extracting named entities of disorders such as diseases, symptoms, and pathological functions from unstructured text. The European Clinical Case Corpus (E3C) is a freely available multilingual corpus (English, French, Italian, Spanish, and Basque) of semantically annotated clinical case texts. The entities of type disorder in the clinical cases are annotated at both mention and concept level. At mention -level, the annotation identifies the entity text spans, for example, abdominal pain. At concept level, the entity text spans are associated with their concept identifiers in Unified Medical Language System, for example, C0000737. This corpus can be exploited as a benchmark for training and assessing information extraction systems. Within the context of the present work, multiple experiments have been conducted in order to test the appropriateness of the mention-level annotation of the E3C corpus for training DNER models. In these experiments, traditional machine learning models like conditional random fields and more recent multilingual pre-trained models based on deep learning were compared with standard baselines. With regard to the multilingual pre-trained models, they were fine-tuned (i) on each language of the corpus to test per-language performance, (ii) on all languages to test multilingual learning, and (iii) on all languages except the target language to test cross-lingual transfer learning. Results show the appropriateness of the E3C corpus for training a system capable of mining disorder entities from clinical case texts. Researchers can use these results as the baselines for this corpus to compare their own models. The implemented models have been made available through the European Language Grid platform for quick and easy access.
The outbreak of the COVID-19 pandemic generated the need to adapt patients’ access to health services, given the rapid and exponential increase in demand at all levels of care, making social distancing one of the few weapons available in this fight. In this scenario, telehealth proved to be a fundamental tool in tracking and guiding patients with suspected or confirmed disease. This work presents the demographic profile of the people attended, the most prevalent clinical situations in care and the clinical outcomes of the remote care.
Methods
This was an observational, descriptive, cross-sectional, retrospective study carried out at Unimed Belo Horizonte, a medical work cooperative, from March 2020 to May 2021. We analyzed anonymized data on remote care from electronic medical records provided by the operator, with the remote contacts of these patients being spontaneous.
Results
In the period evaluated, 380,663 remote calls were made, with a monthly average of 36,888 calls. Of these visits, 59.5% were carried out by women and 40.5% by men. There were, 13,211 (3.5%) consultations with patients aged 0 to 9 years, 19,933 (5.2%) 10 to 19 years, 319,882 (84%) in people aged 20 to 59 years, and 27,633 (7.3%) aged 60 years or older. There were 64,348 (17%) consultations in patients with confirmed COVID-19 and 40,997 (11%) with suspected COVID-19. There were 194,746 (51.2%) consultations due to respiratory complaints and 14% of consultations due to other causes, but whose initial care was due to signs and symptoms suggestive of COVID-19. Of people assisted remotely, 29,734 (7.8%) attended the emergency room within 3 days, while 38,685 (10.2%) sought the emergency room within 14 days. There were 2,846 (0.7%) consultations in the emergency room that resulted in the hospitalization of patients.
Conclusions
Telehealth proved to be resolute and an important tool for accessing health services during the pandemic.
Patients with chronic kidney disease (CKD) and COVID-19 are at high risk of adverse outcomes due to the presence of comorbidities. However, it is still unclear whether dialysis therapy is associated with a worse prognosis in patients infected with SARS-CoV-2. The objectives were to assess mortality and risk factors associated with a worse prognosis of these patients (e.g., age, sex, comorbidities, Intensive Care Admission [ICU] admission, and need for invasive mechanical ventilation [IMV]).
Methods
An observational, descriptive, retrospective study was conducted in the private healthcare maintenance organization (Unimed-BH) of Belo Horizonte and 33 surrounding cities in Brazil. We used data collected from the organization’s database. We included adult inpatients with CKD on previous dialysis therapy who tested positive for COVID-19, from February 2020 to June 2021.
Results
During the period, 16182 patients were admitted to Unimed-BH with a diagnosis of COVID-19. Of these, 333 (2%) had dialysis CKD. Male patients were 180 (54%), age ranged from 22.85 to 95.75 years and the mean was 60.91 years. Of the 333 patients, 109 (32.7%) were admitted to the ICU, and 56 (16.8%) required IMV. Among the 14 comorbidities analysed, the mean number of comorbidities was 6, with 93 (27.9%) dyslipidaemia, 74 (22%) diabetic, 270 (81%) hypertensive, 25 (7.5%) asthmatic, 42 (12.6%) with chronic pulmonary disease (CPD) and 122 (36.6%) with congestive heart failure (CHF). There were 66 (19.8%) deaths, 29 (43.9%) were male, the mean age was 60.8 years, and 23 patients (34.8%) were elderly (>60 years). Among the patients who died, 55 (83.3%) were in the ICU and 46 (69.7%) on IMV. The mean number of comorbidities was 9.27 being 16 (24.2%) dyslipidaemia, 44 (66.6%) diabetic, 60 (90.9%) hypertensive, 5 (7%) asthmatic, 10 (15%) with CPD and 32 (48.5%) with CHF.
Conclusions
Dialysis patients appear more susceptible to unfavourable outcomes than the general population. Our findings are similar to those reported in the world literature which is still scarce. It is important to conduct more studies on this population.
Life expectancy is increasing worldwide. However, during the COVID-19 pandemic, people 100 years or more (centenaries) were challenged by a potentially fatal disease. We evaluated the outcome of centenaries hospitalized due to COVID-19 in a private healthcare system of Belo Horizonte/Brazil (Unimed-BH).
Methods
Administrative data were collected from the hospital database. Patients were included if they had a severe adult respiratory syndrome due to coronavirus type 2 (SARS-CoV-2) ribonucleic acid identified by quantitative real-time reverse transcriptase polymerase chain reaction (RT-qPCR) or by the International Code of Disease-10th review (ICD-10) hospitalization codes U07.1, B34.2, or B97.2.
Results
From March 1 2020 to October 31 2021, 316.4 ± 12.9 centenaries/month were registered. Eighteen hospitalizations due to COVID-19 were identified. Median age was 101.8 years (inter-quartile range [IQR]:100.7,103.0). Most patients were female (83%). There was a median of 6.0 morbidities per patient (IQR:5.3,7.8), range 2-12 morbidities, among 71 possible morbidities. The most described morbidities were systemic arterial hypertension (94%), dementia (61%), and congestive heart failure (61%). Median length of hospitalization was 6.5 days (IQR:3.3,8.0). No patient was dialyzed. Seven (39%) patients died during hospitalization, of whom 3 (17%) were admitted to the Intensive Care Unit and 2 (11%) were oxygenated by invasive mechanical ventilation. No other patients were admitted to the Intensive Care Unit or invasively mechanically ventilated.
Conclusions
Although the hospitalization rate was low, the mortality rate during hospitalization was high among centenaries. Further research is required to evaluate the actual risks of centenaries to be infected by SARS-CoV-2 and the subsequent outcomes.