The Portuguese Version of the Immunosuppressant Therapy Adherence Scale (ITAS) among Liver Transplant Recipient Patients: Translation and Psychometric Properties.

INTRODUCTION AND AIM: Transplant recipients are chronically ill patients who rely on medical treatment throughout life to achieve positive results. Despite that, medication nonadherence after liver transplantation is extremely common. The self-report, one of several methods for measuring adherence, is easy to apply and low cost. Thus, this study aims to translate and validate the Immunosuppressant Therapy Adherence Instrument (ITAS) in Brazilian Portuguese for liver transplant recipients. MATERIAL AND METHODS: A total of 139 liver transplant recipients were selected from a general hospital, who were assessed by using the Portuguese version of ITAS. The scale was translated based on the model proposed by Wild, et al. and its psychometric properties were assessed. RESULTS: The average Cronbach's α coefficient was 0.830. ITAS and Basel Assessment of Adherence with Immunosuppressive Medications Scale (BAASIS) presented significant correlation, with a Spearman's ρ coefficient = 0.300 (S = 309,580; p < 0.001). The area under the receiver operating characteristics (ROC) curve was 0.638 (95% CI: 0.557 - 0.715). Factor analysis results indicated that the carelessness factor model was the optimal model, and the factor "feeling worse" was the lowest. CONCLUSION: The Portuguese version of ITAS has adequate psychometric properties to measure adherence to immunosuppressant therapy.

Predicting outcomes in partial nephrectomy: is the renal score useful?

INTRODUCTION AND OBJECTIVE: The R.E.N.A.L. nephrometry system (RNS) has been validated in multiple open, laparoscopic and robotic partial nephrectomy series. The aim of this study was to test the accuracy of R.E.N.A.L. nephrometry system in predicting perioperative outcomes in surgical treatment of kidney tumors <7.0cm in a prospective model. MATERIALS AND METHODS: Seventy-one patients were selected and included in this prospective study. We evaluate the accuracy of RNS in predicting perioperative outcomes (WIT, OT, EBL, LOS, conversion, complications and surgical margins) in partial nephrectomy using ROC curves, univariate and multivariate analyses. R.E.N.A.L. was divided in 3 groups: low complexity (LC), medium complexity (MC) and high complexity (HC). RESULTS: No patients in LC group had WIT >20 min, versus 41.4% and 64.3% MC and HC groups respectively (p=0.03); AUC=0.643 (p=0.07). RNS was associated with convertion rate (LC:28.6% ; MC:47.6%; HC:77.3%, p=0.02). Patients with RNS <8 were most often subjected to partial nephrectomy (93% x 72%, p=0.03) and laparoscopic partial nephrectomy (56.8% x 28%, p=0.02), AUC=0.715 (p=0.002). The RNS was also associated with operative time. Patients with a score >8 had 6.06 times greater chance of having a surgery duration >180 min. (p=0.017), AUC=0.63 (p=0.059). R.E.N.A.L. score did not correlate with EBL, complications (Clavien >3), LOS or positive surgical margin. CONCLUSION: R.E.N.A.L. score was a good method in predicting surgical access route and type of nephrectomy. Also was associated with OT and WIT, but with weak accuracy. Although, RNS was not associated with Clavien >3, EBL, LOS or positive surgical margin.

Detecting at-risk mental states for psychosis (ARMS) using machine learning ensembles and facial features.

AIMS: Our study aimed to develop a machine learning ensemble to distinguish "at-risk mental states for psychosis" (ARMS) subjects from control individuals from the general population based on facial data extracted from video-recordings. METHODS: 58 non-help-seeking medication-naïve ARMS and 70 healthy subjects were screened from a general population sample. At-risk status was assessed with the Structured Interview for Prodromal Syndromes (SIPS), and "Subject's Overview" section was filmed (5-10 min). Several features were extracted, e.g., eye and mouth aspect ratio, Euler angles, coordinates from 51 facial landmarks. This elicited 649 facial features, which were further selected using Gradient Boosting Machines (AdaBoost combined with Random Forests). Data was split in 70/30 for training, and Monte Carlo cross validation was used. RESULTS: Final model reached 83 % of mean F1-score, and balanced accuracy of 85 %. Mean area under the curve for the receiver operator curve classifier was 93 %. Convergent validity testing showed that two features included in the model were significantly correlated with Avolition (SIPS N2 item) and expression of emotion (SIPS N3 item). CONCLUSION: Our model capitalized on short video-recordings from individuals recruited from the general population, effectively distinguishing between ARMS and controls. Results are encouraging for large-screening purposes in low-resource settings.

Psychometric properties the of Brazilian Portuguese version of Snaith-Hamilton Pleasure Scale (SHAPS).

INTRODUCTION: Anhedonia is defined as the reduced ability to feel pleasure and is a core symptom of various psychiatric disorders such as depression and schizophrenia. The Snaith-Hamilton Pleasure Scale (SHAPS) was developed to assess the presence of anhedonia. The objective of this study was to assess the psychometric properties of the Brazilian Portuguese version of the SHAPS. METHODS: In this study, the SHAPS (14 items) was translated into Brazilian Portuguese and validated using data obtained from 228 subjects within a clinical sample. Psychometric properties were assessed using item response theory (logistic models) and classical test theory (Cronbach's alpha). We checked for external validity using a non-parametric correlation with an independent scale: Hospital Anxiety and Depression Scale - Depression subscale (HAD-D). RESULTS: The SHAPS presented good internal consistency, with a Cronbach's α coefficient of 0.759 and adequacy to an IRT 1 parameter logistic (Rasch) model. The SHAPS presented significant correlation with the external measure HAD-D, with Spearman's ρ = 0.249 (S = 1368914; p < 0.001). CONCLUSION: These results suggest that the Brazilian Portuguese version of the SHAPS is a reliable and valid instrument to assess hedonic tone.

Implementation of a Regional Network for ST-Segment-Elevation Myocardial Infarction (STEMI) Care and 30-Day Mortality in a Low- to Middle-Income City in Brazil: Findings From Salvador's STEMI Registry (RESISST).

BACKGROUND: Few data exist on regional systems of care for the treatment of ST-segment-elevation myocardial infarction (STEMI) in developing countries. Our objective was to describe temporal trends in 30-day mortality and identify predictors of mortality among STEMI patients enrolled in a prospective registry in Brazil. METHODS AND RESULTS: From January 2011 to June 2013, 520 patients who received initial STEMI care at 23 nonspecialized public health units or hospitals, some of whom were transferred to a public cardiology referral center, were identified through a regional STEMI network supported by telemedicine and the local prehospital emergency medical service. We stratified patients into five 6-month periods based on presentation date. Mean age (±SD) of patients was 62.0 (±12.2) years, and 55.6% were men. The mean Global Registry of Acute Coronary Events (GRACE) score was 145 (±34). Overall mortality at 30 days was 15.0%. Use of dual antiplatelet therapy and statins increased significantly from baseline (January 2011) to period 5 (June 2013): 61.8% to 93.6% (P<0.001) and 60.4% to 79.7% (P<0.001), respectively. Rates of primary reperfusion also increased (29.1%-53.8%; P<0.001), and more patients were transferred to the referral center (44.7%-76.3%; P=0.001). Thirty-day mortality rates decreased from 19.8% to 5.1% (P<0.001). In multivariable analysis, factors independently associated with 30-day mortality were higher GRACE score, history of previous stroke, lack of transfer to the referral center, and lack of use of optimized medical therapy. CONCLUSIONS: Implementation of a regional STEMI system was associated with lower mortality and higher use of evidence-based therapies.

Predicting outcomes in partial nephrectomy: is the renal score useful?

ABSTRACT Introduction and Objective The R.E.N.A.L. nephrometry system (RNS) has been validated in multiple open, laparoscopic and robotic partial nephrectomy series. The aim of this study was to test the accuracy of R.E.N.A.L. nephrometry system in predicting perioperative outcomes in surgical treatment of kidney tumors <7.0cm in a prospective model. Materials and Methods Seventy-one patients were selected and included in this prospective study. We evaluate the accuracy of RNS in predicting perioperative outcomes (WIT, OT, EBL, LOS, conversion, complications and surgical margins) in partial nephrectomy using ROC curves, univariate and multivariate analyses. R.E.N.A.L. was divided in 3 groups: low complexity (LC), medium complexity (MC) and high complexity (HC). Results No patients in LC group had WIT >20 min, versus 41.4% and 64.3% MC and HC groups respectively (p=0.03); AUC=0.643 (p=0.07). RNS was associated with convertion rate (LC:28.6% ; MC:47.6%; HC:77.3%, p=0.02). Patients with RNS <8 were most often subjected to partial nephrectomy (93% x 72%, p=0.03) and laparoscopic partial nephrectomy (56.8% x 28%, p=0.02), AUC=0.715 (p=0.002). The RNS was also associated with operative time. Patients with a score >8 had 6.06 times greater chance of having a surgery duration >180 min. (p=0.017), AUC=0.63 (p=0.059). R.E.N.A.L. score did not correlate with EBL, complications (Clavien >3), LOS or positive surgical margin. Conclusion R.E.N.A.L. score was a good method in predicting surgical access route and type of nephrectomy. Also was associated with OT and WIT, but with weak accuracy. Although, RNS was not associated with Clavien >3, EBL, LOS or positive surgical margin.

Modelo Probabilístico Regional para Avaliação Prognóstica da Cirurgia de Revascularização Miocárdica / Probabilistic Model for Prediction of Prognostics in Myocardial Revascularization: Complications in Coronary Surgery

Fundamento: Escores de risco avaliam risco pré-operatório e permitem definir cuidados durante a intervenção, porém a performance destes instrumentos em amostras distintas das originais é pouco investigada. Objetivos: Testar a validade externa de escores de risco cirúrgico cardíaco (STS e Euroscore) e investigar o poder preditivo de características clínicas da amostra. Métodos: Estudo de coorte retrospectivo realizado entre outubro de 2010 e abril de 2015. Fatores de risco para morbidade hospitalar foram identificados através de regressão logística. A amostra foi separada para validação cruzada, com 2/3 dos pacientes usados no ajuste do modelo e 1/3 para predições. A performance do STS, do Euroscore e de variáveis clínicas na amostra foi avaliada através de estatística-C (área sob a curva ROC) e calibração através do pelo de Hosmer-Lemeshow (H-L). Resultados: 72 pacientes foram operados de doença arterial coronariana no Hospital Santa Izabel da Santa Casa, BA. A idade média foi 62,8 anos e 32,5% eram mulheres. Os escores de risco não apresentaram poder discriminativo significativo para amostra. Os fatores identificados como preditores independentes para o desfecho foram: idade, revascularização prévia e creatinina prévia. O modelo ajustado apresentou valores de discriminação e calibração semelhantes no ajuste (AUROC = 0,72; IC 95% 0,59-0,84; H-L valor p: 0,410) e na validação cruzada (AUROC = 0,70; IC 95% 0,55 - 0,84; H-L valor p: 0,197). Conclusão: Escores de risco apresentaram desempenho insatisfatório. Variáveis clínicas permitiram a construção de um modelo com boa performance para predição de morbidade nos pacientes operados de revascularização

Introduction: Risk scores evaluate pre-operatory risk and present support for clinical decisions, however the performance of these tools in samples different from the original ones remains unclear. Objectives: Investigate the external validity of risk scores (STS and Euroscore) in cardiac surgery and the predictive performance of clinical features derived from the sample. Methods: Retrospective Cohort study conducted between October,2010, and April, 2015. We used logistic regression to identify risk factors for hospital morbidity. The sample was divided for cross-validation, with 2/3 of the patients selected for model fitting and 1/3 for prediction testing. The performance of risk scores and clinical features was evaluated through AUROC and calibraton the Hosmer-Lemeshow test (H-L). Results: Data was retrieved from 472 patients who underwent coronary cardiac surgery in Hospital Santa Izabel da Santa Casa, BA. Mean age was 62.8 years old and 32.5% of the sample were women. Traditional surgical risk scores did not present significant discriminative performance for this sample. Factors associated with the outcome after adjusting for covariates were: age, previous myocardial revascularization and presurgical creatinine levels. The adjusted model presented similar discrimination and calibration values during training (AUROC = 0,72; IC 95% 0,59-0,84; H-L valor p: 0,41) and validation (AUROC = 0,70; IC 95% 0,55 - 0,84; H-L valor p: 0,197) Conclusion: Traditional scores may be inaccurate when applied to different environments. New risk scores with good predictive power can be developed using local clinical variables