Avaliação econômica das anticitocinas adalimumabe, etanercepte e infliximabe no tratamento da artrite reumatoide no Estado do Paraná

Este estudo objetivou realizar uma avaliação econômica das anticitocinas adalimumabe (ADA), etanercepte (ETA) e infliximabe (IFX) para o tratamento da artrite reumatoide no Estado do Paraná, sob a perspectiva do SUS. Os dados de eficácia e segurança dos tratamentos foram buscados na literatura, e os custos foram calculados com valores gastos pelo SUS para cada um dos tratamentos. Foi elaborado o modelo de Markov para obter a relação custo-efetividade de cada tratamento. A relação custo-efetividade incremental (ICER) comparado ao tratamento padrão também foi calculada para cada anticitocina. Análises de sensibilidade e taxas de desconto foram aplicadas. Na avaliação custo-efetividade, encontraram-se custos por QALY de R$511.633,00, R$ 437.486,00 e R$657.593,00 para ADA, ETA e IFX, respectivamente. O ICER por QALY foi R$ 628.124,00, R$509.974,00 e R$ 965.927,00 para ADA, ETA e IFX, respectivamente. Nas análises de sensibilidade, o ETA e o ADA apresentaram valores próximos. Cabe aos gestores públicos e aos médicos prescritores a escolha adequada para cada paciente, entre os tratamentos disponibilizados.This study aimed to perform an economic evaluation of anticytokines adalimumab (ADA), etanercept (ETA) and infliximab (IFX) for the treatment of rheumatoid arthritis in the State of Parana, in Brazil, in the perspective of the Brazilian Unified Health System. Data on efficacy and safety of treatment were collected in literature, and costs were calculated on the amounts spent by the Government for each treatment. A Markov model was performed to get the cost-effectiveness of each treatment. The incremental cost-effectiveness relationship (ICER) compared to a standard treatment was also calculated for each anticytokine. Sensitivity analysis and discount rates were applied. In assessing cost-effectiveness we found the following values (cost at R$per QALY): 511,633.00, 437,486.00 and 657,593.00 (respectively for ADA, ETA and IFX). The ICER (R$ per QALY) was 628,124.00, 509,974.00 and 965,927.00 (for ADA, ETA and IFX). In the sensitivity analysis, ETA and ADA showed similar values. It is for public managers and physicians the choice for each patient, among the treatments available

Long COVID and cardiovascular disease: a prospective cohort study

Background Pre-existing cardiovascular disease (CVD) or cardiovascular risk factors have been associated with an increased risk of complications following hospitalisation with COVID-19, but their impact on the rate of recovery following discharge is not known. Objectives To determine whether the rate of patient-perceived recovery following hospitalisation with COVID-19 was affected by the presence of CVD or cardiovascular risk factors. Methods In a multicentre prospective cohort study, patients were recruited following discharge from the hospital with COVID-19 undertaking two comprehensive assessments at 5 months and 12 months. Patients were stratified by the presence of either CVD or cardiovascular risk factors prior to hospitalisation with COVID-19 and compared with controls with neither. Full recovery was determined by the response to a patient-perceived evaluation of full recovery from COVID-19 in the context of physical, physiological and cognitive determinants of health. Results From a total population of 2545 patients (38.8% women), 472 (18.5%) and 1355 (53.2%) had CVD or cardiovascular risk factors, respectively. Compared with controls (n=718), patients with CVD and cardiovascular risk factors were older and more likely to have had severe COVID-19. Full recovery was significantly lower at 12 months in patients with CVD (adjusted OR (aOR) 0.62, 95% CI 0.43 to 0.89) and cardiovascular risk factors (aOR 0.66, 95% CI 0.50 to 0.86). Conclusion Patients with CVD or cardiovascular risk factors had a delayed recovery at 12 months following hospitalisation with COVID-19. Targeted interventions to reduce the impact of COVID-19 in patients with cardiovascular disease remain an unmet need

Post-acute COVID-19 neuropsychiatric symptoms are not associated with ongoing nervous system injury

A proportion of patients infected with severe acute respiratory syndrome coronavirus 2 experience a range of neuropsychiatric symptoms months after infection, including cognitive deficits, depression and anxiety. The mechanisms underpinning such symptoms remain elusive. Recent research has demonstrated that nervous system injury can occur during COVID-19. Whether ongoing neural injury in the months after COVID-19 accounts for the ongoing or emergent neuropsychiatric symptoms is unclear. Within a large prospective cohort study of adult survivors who were hospitalized for severe acute respiratory syndrome coronavirus 2 infection, we analysed plasma markers of nervous system injury and astrocytic activation, measured 6 months post-infection: neurofilament light, glial fibrillary acidic protein and total tau protein. We assessed whether these markers were associated with the severity of the acute COVID-19 illness and with post-acute neuropsychiatric symptoms (as measured by the Patient Health Questionnaire for depression, the General Anxiety Disorder assessment for anxiety, the Montreal Cognitive Assessment for objective cognitive deficit and the cognitive items of the Patient Symptom Questionnaire for subjective cognitive deficit) at 6 months and 1 year post-hospital discharge from COVID-19. No robust associations were found between markers of nervous system injury and severity of acute COVID-19 (except for an association of small effect size between duration of admission and neurofilament light) nor with post-acute neuropsychiatric symptoms. These results suggest that ongoing neuropsychiatric symptoms are not due to ongoing neural injury

Immersive intelligence genomic data visualisation

Genomics data are very complex and could contain crucial information about a disease or how a treatment method may perform well on one but not on another. Understanding such genomic data would enable better insight into the correlation between genes and diseases, which could facilitate personalised treatments for the patients. Although visualisations have been increasingly used in the genomic analysis, there is still limited research work on interactive visualisations on immersive platforms, such as in Augmented and Virtual Reality. This paper presents a new interactive visualisation and navigation of genomics data in such environments. We provide an overview of the patient cohort in 3D genetic similarity-space as well as the views of the genes of interests for detail study. The visualisation employs avatars to represent the patients to enhance the realistic look-and-feel of the patients in the immersive environments. We illustrate the effectiveness of our platform through a childhood cancer dataset, B-cell Acute Lymphoblastic Leukaemia