Perda de peso em pacientes oncológicos: prevalência e prognóstico relacionados a sexo, idade, localização do tumor e sintomas de impacto nutricional

ABSTRACT Introduction: Cancer causes an increase in nutritional demands and the presence of of nutritional impact symptoms (NIS) contributes to reduction of nutrient intake and absorption, leading to weight loss, malnutrition and predicting overall survival. Assess the prevalence and predict the weight loss related to cancer, the Grade Scheme and the NIS. Methods: Data were collected from 2012 to 2018 from the first nutritional consultation of cancer patients in a clinic linked to SUS in the city of Guarapuava-PR. The primary outcome was to determine the % of weight loss (% WL), NIS and by the Grade Scheme proposed by Martin et. al (2015) the prognosis was determined by univariate and multivariate Multinomial Logistic Regression (MLR) analysis (adjusted for age, sex and tumor location). Results: 1164 patients aged 56.9 years. In the first consultation, a 6.7 %WL was observed, and it was observed that 21.6% of the patients were underweight. The main sites and %WL were, respectively: Lung 140 (12.0%) and 9.4 %WL, Head and Neck 113 (9.7%) and 10.5 %WL, Colorectal 84 (7.2%) and 10.3 %WL, Stomach 90 (7.7%) and 13.7 %WL, Esophagus 85 (7.3%) and 14.0 %WL, Pancreas 24 (2.1%) and 16.1 %WL. The main NIS were: dry mouth (51.0%), abdominal pain (23.0%), constipation (21.7%), nausea (15.3%) and altered taste (10.5%). In the RML for univariate analysis, age, sex, cancer site and SIN and for multivariate analysis, all cancer locations showed significant OR to be classified in grades 3 and 4. Conclusion: Before chemotherapy, weight loss and malnutrition are present. The cancer site and SIN increase the chance of the patient being classified in grades 3 and 4, leading these patients to a worse nutritional status and contributing to adverse results.

Reproducibility of Grading in Chronic Intervillositis of Unknown Etiology

Chronic intervillositis of unknown etiology (CIUE) is a rare placental inflammatory process associated with pregnancy loss and recurrence. We conducted a quality assurance study to assess the diagnostic accuracy and reproducibility of CIUE grading at our institution. Hematoxylin and eosin-stained slides from 20 CIUE cases (31 slides) were reviewed by 7 perinatal pathologists in 2 sequential rounds. Reviewers were instructed to use the diagnostic criteria they were presently following for CIUE and to grade each slide according to the Rota scheme. In the first round, 20 slides were assessed. The diagnostic accuracy was 94%, the average percent agreement of Rota grade was 79%, and the Fleiss’ kappa value for interobserver variability was 0.54. The results were reviewed by all pathologists with diagnostic and grading criteria agreed upon prior to the second round. In round 2, the remaining 11 slides were assessed. Diagnostic accuracy was 83%, the average percent agreement on Rota grade was 70%, and the Fleiss’ kappa value for interobserver variability was 0.36. Overall, diagnostic accuracy was high and agreement on Rota grade was moderate. Group review did not appear to improve accuracy. Simplifying CIUE grading to a low-grade/high-grade scheme (<50% or ≥50%) might improve grading reproducibility.

Searching Grade Scheme and Malware Recognition Within Google Play Application

To introduce FairPlay, a work of fiction system that discover and leverages traces left behind by fraudsters, to distinguish both malware and apps subjected to investigate status fraud. FairPlay associate review behavior and distinctively combine detect review associations with linguistic and behavioral signals gleaned from Google Play app records (87 K apps, 2.9 M reviews, and 2.4M reviewers, unruffled over half a year), in order to organize suspicious apps. FairPlay achieves over 95 percent accuracy in classify gold regular datasets of malware, counterfeit and legitimate apps. Deceptive behaviors in Google Play, the most trendy Android app market, fuel Search rank abuse and malware proliferation. To make out malware, preceding work has paying attention on app executable and acquiescence analysis. It will show that 75 percent of the acknowledged malware apps engage in hunt rank fraud. FairPlay discover hundreds of fraudulent apps that presently evade Google Bouncer’s recognition machinery.