Concordance analysis of two databases to search for potential drug interactions in onco-hematologic patients.

INTRODUCTION: Potential drug interactions exert a significant impact on patient safety, especially within intricate onco-hematological treatments, potentially resulting in toxicity or treatment failures. Despite the availability of databases for potential drug interaction investigation, persistent heterogeneity in concordance rates and classifications exists. The additional variability in database agreement poses further complexity, notably in critical contexts like onco-hematology. AIM: To analyze the concordance of two databases for researching potential drug interaction in prescriptions for hematological patients at a University Hospital in the Midwest region of Brazil. METHOD: Cross-sectional study developed in a Brazilian hospital. The search for potential drug interaction was conducted in Micromedex® and UpToDate®. The variables were: the presence of potential drug interaction, severity, mechanism, management, and documentation. Data was analyzed in terms of frequency (absolute and relative), Cohen's kappa, and Fleiss kappa. RESULTS: The presence of potential drug interaction, showed a lack of concordance between the databases (k = -0.115 [95% CI: 0.361-0.532], p = 0.003). Regarding the mechanism, a strong agreement was observed (k = 0.805, p < 0.001 [95% CI: 0.550-0.941]). The management concordance showed a fair agreement, 46.8% (k = 0.22, p < 0.001 [95% CI: 0.099-0.341]). Stratifying the categories, significant concordance was observed in "Adjustment of dose + Monitoring" (k = 0.302, p = 0.018) and "Monitoring" (k = 0.417, p = 0.001), while other categories did not reach statistical significance. CONCLUSION: Our study emphasizes the variability in potential drug interaction research, revealing disparities in severity classification, management recommendations, and documentation practices across databases.

Consistent trajectories of rhinitis control and treatment in 16,177 weeks: The MASK-air® longitudinal study.

INTRODUCTION: Data from mHealth apps can provide valuable information on rhinitis control and treatment patterns. However, in MASK-air®, these data have only been analyzed cross-sectionally, without considering the changes of symptoms over time. We analyzed data from MASK-air® longitudinally, clustering weeks according to reported rhinitis symptoms. METHODS: We analyzed MASK-air® data, assessing the weeks for which patients had answered a rhinitis daily questionnaire on all 7 days. We firstly used k-means clustering algorithms for longitudinal data to define clusters of weeks according to the trajectories of reported daily rhinitis symptoms. Clustering was applied separately for weeks when medication was reported or not. We compared obtained clusters on symptoms and rhinitis medication patterns. We then used the latent class mixture model to assess the robustness of results. RESULTS: We analyzed 113,239 days (16,177 complete weeks) from 2590 patients (mean age ± SD = 39.1 ± 13.7 years). The first clustering algorithm identified ten clusters among weeks with medication use: seven with low variability in rhinitis control during the week and three with highly-variable control. Clusters with poorly-controlled rhinitis displayed a higher frequency of rhinitis co-medication, a more frequent change of medication schemes and more pronounced seasonal patterns. Six clusters were identified in weeks when no rhinitis medication was used, displaying similar control patterns. The second clustering method provided similar results. Moreover, patients displayed consistent levels of rhinitis control, reporting several weeks with similar levels of control. CONCLUSIONS: We identified 16 patterns of weekly rhinitis control. Co-medication and medication change schemes were common in uncontrolled weeks, reinforcing the hypothesis that patients treat themselves according to their symptoms.

Patient-centered digital biomarkers for allergic respiratory diseases and asthma: The ARIA-EAACI approach - ARIA-EAACI Task Force Report.

Biomarkers for the diagnosis, treatment and follow-up of patients with rhinitis and/or asthma are urgently needed. Although some biologic biomarkers exist in specialist care for asthma, they cannot be largely used in primary care. There are no validated biomarkers in rhinitis or allergen immunotherapy (AIT) that can be used in clinical practice. The digital transformation of health and health care (including mHealth) places the patient at the center of the health system and is likely to optimize the practice of allergy. Allergic Rhinitis and its Impact on Asthma (ARIA) and EAACI (European Academy of Allergy and Clinical Immunology) developed a Task Force aimed at proposing patient-reported outcome measures (PROMs) as digital biomarkers that can be easily used for different purposes in rhinitis and asthma. It first defined control digital biomarkers that should make a bridge between clinical practice, randomized controlled trials, observational real-life studies and allergen challenges. Using the MASK-air app as a model, a daily electronic combined symptom-medication score for allergic diseases (CSMS) or for asthma (e-DASTHMA), combined with a monthly control questionnaire, was embedded in a strategy similar to the diabetes approach for disease control. To mimic real-life, it secondly proposed quality-of-life digital biomarkers including daily EQ-5D visual analogue scales and the bi-weekly RhinAsthma Patient Perspective (RAAP). The potential implications for the management of allergic respiratory diseases were proposed.

UCRAID (Ukrainian Citizen and refugee electronic support in Respiratory diseases, Allergy, Immunology and Dermatology) action plan.

Eight million Ukrainians have taken refuge in the European Union. Many have asthma and/or allergic rhinitis and/or urticaria, and around 100,000 may have a severe disease. Cultural and language barriers are a major obstacle to appropriate management. Two widely available mHealth apps, MASK-air® (Mobile Airways Sentinel NetworK) for the management of rhinitis and asthma and CRUSE® (Chronic Urticaria Self Evaluation) for patients with chronic spontaneous urticaria, were updated to include Ukrainian versions that make the documented information available to treating physicians in their own language. The Ukrainian patients fill in the questionnaires and daily symptom-medication scores for asthma, rhinitis (MASK-air) or urticaria (CRUSE) in Ukrainian. Then, following the GDPR, patients grant their physician access to the app by scanning a QR code displayed on the physician's computer enabling the physician to read the app contents in his/her own language. This service is available freely. It takes less than a minute to show patient data to the physician in the physician's web browser. UCRAID-developed by ARIA (Allergic Rhinitis and its Impact on Asthma) and UCARE (Urticaria Centers of Reference and Excellence)-is under the auspices of the Ukraine Ministry of Health as well as European (European Academy of Allergy and Clinical immunology, EAACI, European Respiratory Society, ERS, European Society of Dermatologic Research, ESDR) and national societies.

Multidisciplinary Development and Initial Validation of a Clinical Knowledge Base on Chronic Respiratory Diseases for mHealth Decision Support Systems.

Most mobile health (mHealth) decision support systems currently available for chronic obstructive respiratory diseases (CORDs) are not supported by clinical evidence or lack clinical validation. The development of the knowledge base that will feed the clinical decision support system is a crucial step that involves the collection and systematization of clinical knowledge from relevant scientific sources and its representation in a human-understandable and computer-interpretable way. This work describes the development and initial validation of a clinical knowledge base that can be integrated into mHealth decision support systems developed for patients with CORDs. A multidisciplinary team of health care professionals with clinical experience in respiratory diseases, together with data science and IT professionals, defined a new framework that can be used in other evidence-based systems. The knowledge base development began with a thorough review of the relevant scientific sources (eg, disease guidelines) to identify the recommendations to be implemented in the decision support system based on a consensus process. Recommendations were selected according to predefined inclusion criteria: (1) applicable to individuals with CORDs or to prevent CORDs, (2) directed toward patient self-management, (3) targeting adults, and (4) within the scope of the knowledge domains and subdomains defined. Then, the selected recommendations were prioritized according to (1) a harmonized level of evidence (reconciled from different sources); (2) the scope of the source document (international was preferred); (3) the entity that issued the source document; (4) the operability of the recommendation; and (5) health care professionals' perceptions of the relevance, potential impact, and reach of the recommendation. A total of 358 recommendations were selected. Next, the variables required to trigger those recommendations were defined (n=116) and operationalized into logical rules using Boolean logical operators (n=405). Finally, the knowledge base was implemented in an intelligent individualized coaching component and pretested with an asthma use case. Initial validation of the knowledge base was conducted internally using data from a population-based observational study of individuals with or without asthma or rhinitis. External validation of the appropriateness of the recommendations with the highest priority level was conducted independently by 4 physicians. In addition, a strategy for knowledge base updates, including an easy-to-use rules editor, was defined. Using this process, based on consensus and iterative improvement, we developed and conducted preliminary validation of a clinical knowledge base for CORDs that translates disease guidelines into personalized patient recommendations. The knowledge base can be used as part of mHealth decision support systems. This process could be replicated in other clinical areas.

Patients' Satisfaction with Remote Asthma Medical Follow-Up Before and During the COVID-19 Pandemic.

Background: The COVID-19 pandemic forced the change of health care services, favoring the use of remote consultations. Objective: To assess the differences in asthma medical follow-up before and during the COVID-19 pandemic and to evaluate patients' satisfaction regarding remote consultations. Methods: A cross-sectional, observational, web-based study, including 335 Portuguese patients with self-reported physician-diagnosed asthma, was conducted. The survey was available between February and May 2021 and included questions about patients' sociodemographic and clinical characteristics and follow-up (consultations' type and satisfaction in 2019 and 2020). Satisfaction was assessed using 10 statements on different aspects of patient experience (Likert scale 1-5), with a total score between 10 and 50. Results: The 335 patients included had a median [P25-P75] age of 27 [21-43] years and 75% had uncontrolled asthma. Overall, fewer participants had consultations during the pandemic compared to 2019 (161 vs. 185; p < 0.001). Most patients had ≥1 face-to-face consultation both in 2020 and 2019 (131 vs. 184; p < 0.001). In 2020, there was an increase in the proportion of participants reporting ≥1 remote (telephonic plus video) consultation (40% vs. 3%; p < 0.001). This increase was mainly attributed to the use of telephonic consultation (38% vs. video 3%, p < 0.001). Patients' satisfaction was similar in 2020 and 2019 for face-to-face consultations (44 [38-47] and 44 [39-48], p = 0.136). In 2020, satisfaction with remote consultations was slightly lower than with face-to-face (43 [37-46] vs. 44 [38-47], p < 0.001). Conclusions: Even though patients were slightly more satisfied with face-to-face consultations, remote consultations can be an alternative in follow-up services for patients with asthma in the near future.

Comparison of rhinitis treatments using MASK-air® data and considering the minimal important difference.

BACKGROUND: Different treatments exist for allergic rhinitis (AR), including pharmacotherapy and allergen immunotherapy (AIT), but they have not been compared using direct patient data (i.e., "real-world data"). We aimed to compare AR pharmacological treatments on (i) daily symptoms, (ii) frequency of use in co-medication, (iii) visual analogue scales (VASs) on allergy symptom control considering the minimal important difference (MID) and (iv) the effect of AIT. METHODS: We assessed the MASK-air® app data (May 2015-December 2020) by users self-reporting AR (16-90 years). We compared eight AR medication schemes on reported VAS of allergy symptoms, clustering data by the patient and controlling for confounding factors. We compared (i) allergy symptoms between patients with and without AIT and (ii) different drug classes used in co-medication. RESULTS: We analysed 269,837 days from 10,860 users. Most days (52.7%) involved medication use. Median VAS levels were significantly higher in co-medication than in monotherapy (including the fixed combination azelastine-fluticasone) schemes. In adjusted models, azelastine-fluticasone was associated with lower average VAS global allergy symptoms than all other medication schemes, while the contrary was observed for oral corticosteroids. AIT was associated with a decrease in allergy symptoms in some medication schemes. A difference larger than the MID compared to no treatment was observed for oral steroids. Azelastine-fluticasone was the drug class with the lowest chance of being used in co-medication (adjusted OR = 0.75; 95% CI = 0.71-0.80). CONCLUSION: Median VAS levels were higher in co-medication than in monotherapy. Patients with more severe symptoms report a higher treatment, which is currently not reflected in guidelines.

Behavioural patterns in allergic rhinitis medication in Europe: A study using MASK-air® real-world data.

BACKGROUND: Co-medication is common among patients with allergic rhinitis (AR), but its dimension and patterns are unknown. This is particularly relevant since AR is understood differently across European countries, as reflected by rhinitis-related search patterns in Google Trends. This study aims to assess AR co-medication and its regional patterns in Europe, using real-world data. METHODS: We analysed 2015-2020 MASK-air® European data. We compared days under no medication, monotherapy and co-medication using the visual analogue scale (VAS) levels for overall allergic symptoms ('VAS Global Symptoms') and impact of AR on work. We assessed the monthly use of different medication schemes, performing separate analyses by region (defined geographically or by Google Trends patterns). We estimated the average number of different drugs reported per patient within 1 year. RESULTS: We analysed 222,024 days (13,122 users), including 63,887 days (28.8%) under monotherapy and 38,315 (17.3%) under co-medication. The median 'VAS Global Symptoms' was 7 for no medication days, 14 for monotherapy and 21 for co-medication (p < .001). Medication use peaked during the spring, with similar patterns across different European regions (defined geographically or by Google Trends). Oral H1 -antihistamines were the most common medication in single and co-medication. Each patient reported using an annual average of 2.7 drugs, with 80% reporting two or more. CONCLUSIONS: Allergic rhinitis medication patterns are similar across European regions. One third of treatment days involved co-medication. These findings suggest that patients treat themselves according to their symptoms (irrespective of how they understand AR) and that co-medication use is driven by symptom severity.

Hospitalizations and deaths related to adverse drug events worldwide: Systematic review of studies with national coverage.

PURPOSE: Adverse drug events are related to negative outcomes in healthcare, including hospitalization, increased duration of hospital stay and death. The aim of this study was to conduct a systematic review to evaluate hospitalizations and deaths related to adverse drug events worldwide, reported in studies with national coverage. METHODS: The protocol was registered in PROSPERO (CRD42020157008). We performed a systematic search on Medline, Embase, CINAHL, LILACS, and the Cochrane Library (until March 2020) using pre-specified terms. We included published studies that reported data on hospitalizations and/or deaths related to adverse drug events from a national perspective and the use of secondary data as a source of information. Two reviewers independently extracted and synthesized data. The quality of the studies was assessed using an adapted version of the Joanna Briggs Institute critical appraisal checklist for prevalence studies. Narrative summaries of findings were undertaken. RESULTS: Among 59,336 citations, 62 studies were included for data extraction and synthesis. Among these studies, 41 studies included the outcome of hospitalization, 16 included the death outcome, and five included both outcomes. Administrative databases regarding discharges and registries of vital statistics were the most common sources of information. The relative frequency of hospitalizations ranged from 0.03% to 7.3%, and from 9.7 to 383.0/100,000 population, whereas mortality rate ranged from 0.1 to 7.88/100,000 population. CONCLUSION: Our study highlights information about adverse drug events using large administrative databases in a national scenario and provides an overview of databases and methods implemented to detect adverse drug events.

Development and Validation of a Digital Image Processing-Based Pill Detection Tool for an Oral Medication Self-Monitoring System.

Long-term adherence to medication is of critical importance for the successful management of chronic diseases. Objective tools to track oral medication adherence are either lacking, expensive, difficult to access, or require additional equipment. To improve medication adherence, cheap and easily accessible objective tools able to track compliance levels are necessary. A tool to monitor pill intake that can be implemented in mobile health solutions without the need for additional devices was developed. We propose a pill intake detection tool that uses digital image processing to analyze images of a blister to detect the presence of pills. The tool uses the Circular Hough Transform as a feature extraction technique and is therefore primarily useful for the detection of pills with a round shape. This pill detection tool is composed of two steps. First, the registration of a full blister and storing of reference values in a local database. Second, the detection and classification of taken and remaining pills in similar blisters, to determine the actual number of untaken pills. In the registration of round pills in full blisters, 100% of pills in gray blisters or blisters with a transparent cover were successfully detected. In the counting of untaken pills in partially opened blisters, 95.2% of remaining and 95.1% of taken pills were detected in gray blisters, while 88.2% of remaining and 80.8% of taken pills were detected in blisters with a transparent cover. The proposed tool provides promising results for the detection of round pills. However, the classification of taken and remaining pills needs to be further improved, in particular for the detection of pills with non-oval shapes.

What Do Physicians Think About the Use of Telemedicine to Recruit and Assess Participants in mHealth-Related Clinical Studies as a Consequence of the COVID-19 Pandemic?

Objectives: To evaluate physician's opinion and availability to participate in mHealth-related clinical studies with patient recruitment and assessment via telemedicine and to identify characteristics associated with the willingness to participate. Methods: Cross-sectional, observational study, based on an anonymous web survey conducted in May-Jun of 2020 to 237 physicians, from Portugal and Spain that collaborated with an asthma mHealth project (INSPIRERS). Results: Response rate was 51% (n = 120). Most (74%, n = 89) physicians were available to participate in such studies, but 62% anticipated lower recruiting capacity and 40% increased difficulty in obtaining quality data. Physicians aged ≤40 years, from secondary care (vs. general practitioners) and that used apps in personal life or clinical practice were more likely to be available. Conclusions: Three-quarters of the physicians were available to participate in mHealth-related clinical studies with patient recruitment and assessment through telemedicine. Age group, medical specialty, and app use were associated with the willingness to participate.

Determinants of the Use of Health and Fitness Mobile Apps by Patients With Asthma: Secondary Analysis of Observational Studies.

BACKGROUND: Health and fitness apps have potential benefits to improve self-management and disease control among patients with asthma. However, inconsistent use rates have been reported across studies, regions, and health systems. A better understanding of the characteristics of users and nonusers is critical to design solutions that are effectively integrated in patients' daily lives, and to ensure that these equitably reach out to different groups of patients, thus improving rather than entrenching health inequities. OBJECTIVE: This study aimed to evaluate the use of general health and fitness apps by patients with asthma and to identify determinants of usage. METHODS: A secondary analysis of the INSPIRERS observational studies was conducted using data from face-to-face visits. Patients with a diagnosis of asthma were included between November 2017 and August 2020. Individual-level data were collected, including age, gender, marital status, educational level, health status, presence of anxiety and depression, postcode, socioeconomic level, digital literacy, use of health services, and use of health and fitness apps. Multivariate logistic regression was used to model the probability of being a health and fitness app user. Statistical analysis was performed in R. RESULTS: A total of 526 patients attended a face-to-face visit in the 49 recruiting centers and 514 had complete data. Most participants were ≤40 years old (66.4%), had at least 10 years of education (57.4%), and were in the 3 higher quintiles of the socioeconomic deprivation index (70.1%). The majority reported an overall good health status (visual analogue scale [VAS] score>70 in 93.1%) and the prevalence of anxiety and depression was 34.3% and 11.9%, respectively. The proportion of participants who reported using health and fitness mobile apps was 41.1% (n=211). Multivariate models revealed that single individuals and those with more than 10 years of education are more likely to use health and fitness mobile apps (adjusted odds ratio [aOR] 2.22, 95%CI 1.05-4.75 and aOR 1.95, 95%CI 1.12-3.45, respectively). Higher digital literacy scores were also associated with higher odds of being a user of health and fitness apps, with participants in the second, third, and fourth quartiles reporting aORs of 6.74 (95%CI 2.90-17.40), 10.30 (95%CI 4.28-27.56), and 11.52 (95%CI 4.78-30.87), respectively. Participants with depression symptoms had lower odds of using health and fitness apps (aOR 0.32, 95%CI 0.12-0.83). CONCLUSIONS: A better understanding of the barriers and enhancers of app use among patients with lower education, lower digital literacy, or depressive symptoms is key to design tailored interventions to ensure a sustained and equitable use of these technologies. Future studies should also assess users' general health-seeking behavior and their interest and concerns specifically about digital tools. These factors may impact both initial engagement and sustained use.

Institutional strategies as a mechanism to rationalize the negative effects of the judicialization of access to medicine in Brazil.

BACKGROUND: Recently, the Executive Branch and Judiciary in Brazil increased spending due to larger numbers of lawsuits that forced the State to provide health goods and services. This phenomenon, known as health judicialization, has created challenges and required the Executive Branch and Judiciary to create institutional strategies such as technical chambers and departments to reduce the social, economic and political distortions caused by this phenomenon. This study aims to evaluate the effects of two institutional strategies deployed by a Brazilian municipality in order to cope with the economic, social and political distortions caused by the phenomenon of health judicialization regarding access to medicines. METHODS: A longitudinal study was carried out in a capital in the Central-West Region of Brazil. A sample of 511 lawsuits was analyzed. The variables were placed into three groups: the sociodemographic characteristics and the plaintiffs' disease, the characteristics of the claimed medical products and the institutional strategies. To analyze the effect of the interventions on the total cost of the medicines in the lawsuits, bivariate and multivariate linear regressions with variance were performed. For the categorical outcomes, Poisson regressions were performed with robust variance, using a significance level of 5%. RESULTS: A reduction in the costs of medicines in the lawsuits and of the requests for medicines within the SUS formulary was verified after the deployment of the Department of Assessment of Nonstandardized Medicines (DAMNP) and the Technical Chamber of Health Assessment (CATS); an increase in processed prescriptions from the Brazilian Universal Health System was observed after the deployment of the CATS; and an increase in medicines outside the SUS formulary without a therapeutic alternative was verified after the CATS. CONCLUSION: The institutional strategies deployed were important tools to reduce the high costs of the medicines in the lawsuits. In addition, they represented a step forward for the State, provided a benefit to society and indicated a potential path for the health and justice systems of other countries that also face problems caused by the judicialization of health.

Disentangling the heterogeneity of allergic respiratory diseases by latent class analysis reveals novel phenotypes.

BACKGROUND: Refined phenotyping of allergic diseases may unravel novel phenotypes. Conjunctivitis as an independent disorder has never been approached. AIM: To identify distinct classes of allergic respiratory diseases using latent class analysis (LCA) and distinguish each class using classification and regression tree (CART) analysis. METHODS: Seven hundred and twenty-eight adults from the Portuguese general population study ICAR had a structured medical interview combined with blood collection, skin prick tests, spirometry with bronchodilation, and exhaled nitric oxide. LCA was applied to 19 variables. The CART algorithm selected the most likely variables distinguishing LCA-classes. RESULTS: A six-class model was obtained. Class 1 (25%): nonallergic participants without bronchial or ocular symptoms. Classes 2 (22%) and 3 (11%): nasal and ocular (low levels) symptoms without nasal impairment, monosensitized (Class 2) or polysensitized (Class 3). Class 4 (13%): polysensitized participants with high levels of nasal and ocular symptoms, and nasal impairment. Classes 5 (16%) and 6 (14%): high level of nasal, bronchial and ocular symptoms with nasal impairment (non-allergic or polysensitized, respectively). Participants in classes 5 and 6 had more bronchial exacerbations and unscheduled medical visits (P < 0.001). Ocular symptoms were significantly higher in classes with nasal impairment, compared to those without impairment (P < 0.001) or no nasal symptom (P < 0.001). CART highlighted ocular symptoms as the most relevant variable in distinguishing LCA-classes. CONCLUSION: Novel severe phenotypes of participants with co-occurrence of ocular, nasal and bronchial symptoms, and exacerbation-prone were identified. The tree algorithm showed the importance of the ocular symptoms in the expression of allergic diseases phenotypes.

Administrative cases: an effective alternative to lawsuits in assuring access to medicines?

BACKGROUND: Although public policy in Brazil supports access to essential medicines, the health system cannot meet all demand. Increasingly, the population has used legal demands to seek access to medicines, an approach that can undermine equitable access by creating policy inconsistencies (e.g., granting access to medicines outside the SUS formulary). In response, the Executive Branch has signed institutional agreements to create an administrative case for submitting requests for medicines directly to the Executive Branch. The objective of this study was to assess the degree to which the administrative cases for requests are in accordance with public policies and guidelines, e.g., if administrative cases results in fewer decisions to purchase outside the SUS formulary. METHODS: This descriptive study used secondary data from lawsuits filed against the Executive Branch from 2003 to 2015 and from administrative cases granted by the Executive Branch from 2010 to 2015 in the capital of a state located in the central-western region of Brazil. The variables included plaintiffs' sociodemographic characteristics and diseases as well as the characteristics of the medical products sought via the processes. RESULTS: Comparing the requests submitted through lawsuits and the administrative cases revealed differences in the incomes of plaintiffs and the costs of medicines. Both methods for submission recorded requests for medicines for diseases of endocrine and circulatory systems; the only difference was the prevalence of diseases of the genitourinary system in the lawsuits. A higher proportion of lawsuits sought medicines outside the SUS formulary with therapeutic alternatives, while medicines outside the SUS formulary without an alternative were more commonly requested in administrative cases. CONCLUSION: Administrative cases adhere to the public policies and guidelines of the SUS. The administrative cases results in fewer decisions to purchase outside the SUS formulary with alternative, and more decisions to purchase drugs for which there is a formulary alternative. In addition, administrative cases provide greater equity by favoring lower income applicants. However, administrative cases also reveal deficiencies in the State's implementation of existing pharmaceutical policies. The public pressure for effective implementation of existing policies may help expand access to medicines.

Cost of asthma in children: A nationwide, population-based, cost-of-illness study.

BACKGROUND: Childhood asthma is very prevalent and costs can be high, especially in severe disease. This study aimed to estimate the cost of asthma in Portuguese children and the variations by level of asthma control. METHODS: A nationwide, population- and prevalence-based cost-of-illness study with a societal perspective was conducted. We measured direct and indirect costs using a bottom-up approach and a human capital method, respectively, for 208 children (<18 years), from two national repositories. Generalized linear modelling for analysis of asthma costs' determinants and sensitivity analysis to assess uncertainty were performed. RESULTS: The mean annualized asthma cost per child was €929.35 (95% CI, 809.65-1061.11): €698.65 (95% CI, 600.88-798.27) for direct costs and €230.70 (95% CI, 197.36-263.81) for indirect costs. Extrapolations for the Portuguese children amounted to €161 410 007.61 (95% CI, 140 620 769.55-184 293 968.55) for total costs. Direct costs represent 75.2% with the costliest domain (51.1% of total costs) being the healthcare service use: 20.7% for scheduled medical visits and 30.4% for acute asthma care-non-scheduled medical visits (7.9%, €12 766 203.20), emergency department visits (11.7%, €18 932 464.80) and hospitalizations (10.8%, €17 406 946.00). Children with partly controlled and uncontrolled asthma had higher mean costs per year (adjusted coefficients: 1.46 [95% CI, 1.12-1.90] and 2.25 [95% CI, 1.56-3.24], respectively). CONCLUSIONS: Costs of childhood asthma are high (0.9% of the healthcare expenditures in Portugal). Direct costs represented three-fourth of total costs, mainly related to the use of healthcare services for acute asthma care. Policies and interventions to improve asthma control and reduce acute use of healthcare services have the potential to reduce asthma costs.

Control of Allergic Rhinitis and Asthma Test for Children (CARATKids): Validation in Brazil and cutoff values.

BACKGROUND: The Control of Allergic Rhinitis and Asthma Test for Children (CARATKids) assesses asthma and allergic rhinitis control in children younger than 12 years. OBJECTIVE: To validate the Brazilian Portuguese version of the CARATKids and to define the cutoff values for identifying uncontrolled disease. METHODS: Children aged 6 to 12 years with asthma and allergic rhinitis were studied (n = 102). CARATKids, childhood Asthma Control Test (cACT), total nasal symptom score (TNSS), and visual analog scale (VAS) scores were obtained at baseline and after 4 to 6 weeks. Internal consistency, test-retest reliability, responsiveness, and validity of the Brazilian CARATKids were assessed according to the Consensus-based Standards for the Selection of Health Measurements Instruments checklist. The minimal clinically important difference (MCID) was evaluated using distribution and anchor methods. Spearman correlations were used to compare CARATKids scores with external measures of control. Receiver operating characteristic curve analysis was performed to establish cutoff values. RESULTS: Fifty children completed both visits. The Cronbach α and intraclass correlation coefficient of CARATKids were 0.81 and 0.85, respectively. The Guyatt responsiveness index was -1.34, and within-patient change in clinically unstable patients (n = 31) was significant (P = .02). As for cross-sectional and longitudinal validity, correlation coefficients ranged from 0.58 to 0.77 (P < .001) and 0.30 to 0.57 (P < .05), respectively. The estimated MCID for CARATKids was 3. The optimal cutoffs (sensitivity and specificity) to exclude uncontrolled and controlled disease were 3 or less (97% and 67%) and 6 or greater (56% and 96%), respectively. CONCLUSION: CARATKids is a reliable and valid tool to assess asthma and allergic rhinitis control in Brazilian children. A score of 6 or higher on CARATKids identifies uncontrolled disease, and a score of 3 or lower excludes poor disease control.

Quality of life of patients with 46,XX and 46,XY disorders of sex development.

Disorders of sex development (DSD) result from abnormalities in the complex process of sex determination and differentiation. An important consideration to guide the assignment of social sex in newborns with ambiguous genitalia is the quality of life (QoL) of these patients in adulthood. The rarity of most DSD conditions makes it difficult to conduct a long-term follow-up of affected patients through adulthood. This review of papers on the QoL of DSD patients evaluated in developing and developed countries by qualitative and quantitative instruments revealed a large spectrum of QoL, ranging from very poor to similar to, or even better than, the normal population. A more adequate QoL was found in patients from tertiary centres, indicating that the medical care of DSD patients should be multidisciplinary and carried out by specialized teams.

Quality of life in a large cohort of adult Brazilian patients with 46,XX and 46,XY disorders of sex development from a single tertiary centre.

OBJECTIVE: Few studies have focused on the quality of life (QoL) of patients with disorders of sex development (DSD). Our aim was to evaluate QoL in DSD patients with defined diagnoses followed until adulthood in a single tertiary centre. PATIENTS AND METHODS: Adult patients with DSD (56 patients with 46,XX DSD - 49 with female social sex and 7 with male social sex as well as 88 patients with 46,XY DSD - 54 with female social sex and 34 with male social sex). MEASUREMENTS: QoL using WHOQOL-Bref questionnaire. RESULTS: Both patients with 46,XX DSD and patients with 46,XY DSD had similar QoL scores on the WHOQOL-Bref, comparable to the scores of the Brazilian general population. The chronological age at the start of treatment was negatively and significantly associated with general QoL score. Patients with male social sex DSD had better scores on the psychological domain than patients with female social sex DSD, as found in the Brazilian general population. In addition, among the 46,XY DSD group, the male social sex patients had better QoL compared with the female social sex patients. There was a positive and significant correlation between sexual performance and general QoL, although it explained only 4% of the variability of the general QoL score. The most influencing variables were general health, positive feelings and spirituality, religion and personal beliefs, each of them contributing with 18% of the variability of the general QoL score. CONCLUSION: Our large cohort of adult patients with DSD, which was followed by a multidisciplinary team in a single tertiary centre, had good QoL in adulthood; in addition, late treatment compromised the QoL of patients with DSD, whereas sexual performance has little influence on QoL.

Validation of control of allergic rhinitis and asthma test for children (CARATKids)--a prospective multicenter study.

BACKGROUND: Control of Allergic Rhinitis and Asthma Test for Children (CARATKids) is the first questionnaire that assesses simultaneously allergic rhinitis and asthma control in children. It was recently developed, but redundancy of questions and its psychometric properties were not assessed. This study aimed to (i) establish the final version of the CARATKids questionnaire and (ii) evaluate its reliability, responsiveness, cross-sectional validity, and longitudinal validity. METHODS: A prospective observational study was conducted in 11 Portuguese centers. During two visits separated by 6 wk, CARATKids, visual analog scale scales and childhood asthma control test were completed, and participant's asthma and rhinitis were evaluated by his/her physician without knowing the questionnaires' results. Data-driven item reduction was conducted, and internal consistency, responsiveness analysis, and associations with external measures of disease status were assessed. RESULTS: Of the 113 children included, 101 completed both visits. After item reduction, the final version of the questionnaire has 13 items, eight to be answered by the child and five by the caregiver. Its Cronbach's alpha was 0.80, the Guyatt's responsiveness index was -1.51, and a significant (p < 0.001) within-patient change of CARATKids score in clinical unstable patients was observed. Regarding cross-sectional validity, correlation coefficients of CARATKids with the external measures of control were between 0.45 and -0.69 and met the a priori predictions. In the longitudinal validity assessment, the correlation coefficients between the score changes of CARATKids and those of external measures of control ranged from 0.34 to 0.46. CONCLUSION: CARATKids showed adequate psychometric properties and is ready to be used in clinical practice.