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Little is known about whether risk classification at diagnosis predicts post-hematopoietic cell transplantation (HCT) outcomes in patients with acute myeloid leukemia (AML). We evaluated 8709 patients with AML from the CIBMTR database, and after selection and manual curation of the cytogenetics data, 3779 patients in first complete remission were included in the final analysis: 2384 with intermediate-risk, 969 with adverse-risk, and 426 with KMT2A-rearranged disease. An adjusted multivariable analysis detected an increased risk of relapse for patients with KMT2A-rearranged or adverse-risk AML as compared to those with intermediate-risk disease (hazards ratio [HR], 1.27; P = .01; HR, 1.71; P < .001, respectively). Leukemia-free survival was similar for patients with KMT2A rearrangement or adverse risk (HR, 1.26; P = .002, and HR, 1.47; P < .001), as was overall survival (HR, 1.32; P < .001, and HR, 1.45; P < .001). No differences in outcome were detected when patients were stratified by KMT2A fusion partner. This study is the largest conducted to date on post-HCT outcomes in AML, with manually curated cytogenetics used for risk stratification. Our work demonstrates that risk classification at diagnosis remains predictive of post-HCT outcomes in AML. It also highlights the critical need to develop novel treatment strategies for patients with KMT2A-rearranged and adverse-risk disease.

PURPOSE Since the development of the International Germ Cell Cancer Collaborative Group (IGCCCG) risk classification in a 1997 study, high-income countries have reported a significant increase in survival for poor prognosis patients. There are scant data on IGCCCG risk-stratified survival from low- and middle-income countries. We assessed the progression-free survival (PFS) and overall survival (OS) rates in a contemporary cohort of Belarusian patients with advanced germ cell cancer (GCC) stratified by the IGCCCG prognostic classification and analyzed prognostic factors for survival. MATERIALS AND METHODS The consecutive cohort of patients with clinical stage IIb-III testicular GCC or extragonadal germ cell tumors who received treatment or consultation in our two centers between 2010 and 2015 was included. All patients underwent primary chemotherapy. The patients were divided into seminoma and nonseminomatous germ cell carcinoma (NSGCC) subgroups. The Kaplan-Meier method was used to estimate 5-year PFS and OS. RESULTS This study included 111 patients with a median age of 32 years, 95% of whom were diagnosed with testicular cancer. Seminoma and NSGCC were identified in 32 (29%) and 79 (71%) patients, respectively. The median follow-up was 6.1 years. The 5-year PFS and OS rates for the entire cohort were 70% and 77%, respectively. In patients with good prognosis seminoma and good, intermediate, and poor prognosis NSGCC, the estimated PFS rates were 76%, 88%, 74%, and 39% and those for OS were 83%, 97%, 83%, and 38%, respectively. CONCLUSION In our cohort of Belarusian patients with advanced germ cell tumors, we failed to demonstrate an improvement in PFS and OS compared with the 1997 IGCCCG study. Moreover, survival in poor prognosis group is inferior to that in IGCCCG and all contemporary series from high-income countries.

This systematic review aimed to assess the methods used to classify mammographic breast parenchymal features in relation to prediction of future breast cancer including the time from mammogram to diagnosis of breast cancer, and methods for the identification of texture features and selection of features for inclusion in analysis. The databases including Medline (Ovid) 1946-,Embase.com1947-, CINAHL Plus 1937-, Scopus 1823-, Cochrane Library (including CENTRAL), andClinicaltrials.gov. were searched through October 2021 to extract published articles in English describing the relationship of parenchymal texture features with risk of breast cancer. Twenty-eight articles published since 2016 were included in the final review. Of these, 7 assessed texture features from film mammograms images, 3 did not report details of the image used, and the others used full field mammograms from Hologic, GE and other manufacturers. The identification of parenchymal texture features varied from using a predefined list to machine-driven identification. Reduction in number of features chosen for analysis in relation to cancer incidence then varied across statistical approaches and machine learning methods. The variation in approach and number of features identified for inclusion in analysis precluded generating a quantitative summary or meta-analysis of the value of these to improve predicting risk of future breast cancers. This updated overview of the state of the art revealed research gaps; based on these, we provide recommendations for future studies using parenchymal features for mammogram images to make use of accumulating image data, and external validation of prediction models that extend to 5 and 10 years to guide clinical risk management. By following these recommendations, we expect to improve risk classification and risk prediction for women to tailor screening and prevention strategies to level of risk.

Objective To investigate the association of movement patterns evaluated by the Dynamic Movement Assessment (DMA) with the occurrence of musculoskeletal injuries in navy cadets. Design Cohort study. Setting Participants were filmed performing the six functional tests of the DMA (deep squat, step up, single-leg squat, hop, plank and side-plank tests). Participants 240 navy cadets. Main outcome measurements Depending on the number of certain movement patterns on the Dynamic Movement Assessment (DMA), participants were classified as high, moderate, medium or low risk of developing injuries. Predictive associations between injuries and risk classification were examined using logistic regression analysis. Results Considering sex, previous injuries and the type of secondary school as covariates, participants who were classified as high risk were not more likely to develop injuries. Non-military high school was an independent risk factor for any injuries (OR = 3.14, 95% CI [1.43,6.91]; OR = 4.57, 95% CI [1.92,10.83]), overuse injuries (OR = 2.58, 95% CI [1.05,6.30]; OR = 2.55, 95% CI [1.06, 6.14]) and acute injuries (OR = 4.88, 95% CI [1.19,19.99]), respectively. Previous musculoskeletal symptoms also increased the chance of AI (OR = 4.45, 95% CI [1.15,17.18]; OR = 5.91, 95% CI [1.13,30.88]). Conclusions Movement patterns evaluated by DMA are not associated with an increased risk of injuries. However, attendance of a non-military high school and previous musculoskeletal symptoms are associated with musculoskeletal injuries.

Background This study aims to formulate a risk classification system predicting the cancer-specific survival (CSS) for postoperative stage IB NSCLC patients without lymphovascular (LVI) and visceral pleural (VPI) invasion to guide treatment decision making and assist patient counseling. Method A total of 4,238 patients were included in this study. Patients were randomly divided into training and validation cohorts (7:3). The risk factors were identified by Cox regression. Concordance index (C-index), calibration curves, and Decision Curve Analyses (DCAs) were used to evaluate the performance of nomogram. We applied X-tile to calculate the optimal cut-off points and develop a risk classification system. The Kaplan-Meier method was conducted to evaluate CSS in different risk groups, and the significance was evaluated by log-rank test. Result Among the 4,238 patients, 1,014(23.9%) suffered cancer-specific death. In the training cohort, univariable and multivariable Cox regression analyses revealed that age, gender, pathological subtype, grade, tumor size, the number of removed lymph nodes and surgical type were significantly associated with CSS. According to these results, the nomogram was formulated. The C-index of the prediction model was 0.755 in the training cohort (95%CI: 0.733–0.777) and 0.726 (95%CI: 0.695–0.757) in the validation cohort. The calibration curves in training and validation cohort exhibited good agreement between the predictions and actual observations. The Decision Curve Analyses (DCAs) showed net benefit can be achieved for nomogram. A risk classification system was further constructed that could perfectly classify patients into three risk groups. Conclusion In this study, we constructed a nomogram to support individualized evaluation of CSS and a risk classification system to identify patients in the different risk groups in stage IB NSCLC patients without LVI and VPI. These tools could be useful in guiding treatment decision making and assisting patient counseling.

Public health inspectors may schedule the frequency of their inspections by using a criterion that reflects the level of risk in a food facility’s food handling practices. Previous research has shown that higher risk facilities have more difficulty adhering to food safety practices, and thus are linked with more restaurant associated foodborne illness outbreaks. Given limits on state spending for public health, this methodology of spending more resources on perceived higher risk establishments makes fiscal sense. Foodservice establishments with a greater potential risk for harm are inspected more often. The next logical point would be to record whether the high-risk foodservice establishment had more opportunities for food safety infractions simply because of a greater total observed and applicable food safety practices. For example, there are significant differences in the number of potential food safety violations for a facility that only serves pre-packaged foods compared to a facility that prepares raw ingredients and cooks meals on site. The objective of the present study was to address gaps in the literature by accounting for variations in health inspections in Arkansas validating whether foodservice establishments labeled as higher risk are more likely to incur food safety violations. Our analysis of Arkansas food service inspection reports showed that high priority facilities had the highest critical and non-critical violation rates, followed by medium and low priority facilities. Average critical violations per inspection were 0.65, 1.01, and 2.07 for low, medium, high priority establishments, respectively. The results in this study show the risk classification scheme used by the Arkansas state health department coincides with health inspection violation rates and total applicable and observed food safety items.

Purpose. Radiotherapy resistance is now recognized as the major obstacle to the effective therapeutic management of non-small-cell lung cancer (NSCLC). As a single biomarker has limited effect in stratifying NSCLC patients, this research aimed to identify long non-coding RNAs (lncRNAs) correlated with radiotherapy response to ameliorate forecast of NSCLC prognosis. Methods. In a cohort of NSCLC patients with radiotherapy history (n = 96) from TCGA, genetic data of lncRNA expression profiling were performed. To identify radioresponse-related lncRNA sets which dysregulated significantly between radiosensitive (RS) and radioresistant (RR) groups, differential expression analysis was carried out. Cox relative regression was implemented to set up a radioresponse-related risk model. Moreover, we adopted survival analysis to measure the predictive potentiality of the prognosis model. Results. Four radioresponse-related lncRNAs (CASC19, LINC01977, LINC02471, and MAGI2-AS3) were screened to create a prognostic signature. Then, we described a lncRNA signature-based regulatory network and explored the correlation of the immune microenvironment and the signature. Additionally, in vitro assays uncovered inhibition of LINC01977 weakened radioresistance of NSCLC cells. Conclusion. We provided a novel radioresponse-related lncRNAs signature with excellent clinical potency for an effective prognostic forecast of patients.

A Atenção Básica (AB) é considerada o primeiro nível de atenção em saúde e tem na Saúde da Família sua estratégia prioritária para expansão e consolidação. O objetivo do estudo foi descrever o perfil e a classificação de risco familiar dos usuários de uma Unidade Básica de Saúde da Família em Uberlândia, Minas Gerais. Trata-se de um estudo transversal, com dados coletados dos Sistemas de Informações, nos anos 2017 e 2018. Foram analisadas variáveis sociodemográficas, classificação dos grupos populacionais e risco familiar. Para a classificação de risco familiar foram considerados fatores socioeconômicos (grau de alfabetização do chefe da família, renda e abastecimento de água) e fatores clínicos (grau de risco dos seguintes grupos/condições: gestante, criança, hipertensão, diabetes, doença renal crônica ou outras condições crônicas de alto risco). Foram avaliados 1553 usuários, sendo 70,6% do sexo feminino. A faixa etária predominante foi entre 40 e 59 anos (33,23%) e a menos atendida foi a de adolescentes entre 14 e 17 anos (1,55%). Em relação à classificação de risco, observou-se maiores prevalências de hipertensão com médio risco, diabetes de alto risco e tuberculose de baixo risco. O estudo evidencia a importância do fortalecimento de políticas públicas, que visem à promoção e monitoramento das condições de saúde na AB. Palavras-chave: atenção básica, fator de risco, doença crônica. Abstract Primary Health Care (PHC) is considered the first level of health care and has in Family Health its priority strategy for expansion and consolidation. The objective of the study was to describe the profile and family risk classification of users of the Family Health Unit in Uberlândia, Minas Gerais. This is a cross-sectional study, with data collected from the municipality's Information Systems, during the years 2017 and 2018. Sociodemographic variables, classification of population groups and family risk were analyzed. For the classification of family risk, socioeconomic factors (degree of literacy of the head of the household, income and water supply) and clinical factors (degree of risk of the following groups/conditions: pregnant woman, child, hypertension, diabetes, chronic kidney disease or other high-risk conditions). A total of 1553 users were evaluated, 70.6% of whom were female. The predominant age group was that of adults between 40 and 59 years old (33.23%) and the least attended was that of adolescents between 14 and 17 years old (1.55%). Regarding the risk classification, there was a higher prevalence of medium-risk hypertension, high-risk diabetes and low-risk tuberculosis. The study highlights the importance of strengthening public policies, aimed at promoting and monitoring health conditions in PHC. Keywords: primary health care, risk factors, chronic disease.

Jian-Wei Mi,1 Jia-Qi Wang,2 Jie Liu,3 Li-Xian Zhang,1 Hong-Wei Du,1 Dong-Qiang Zhao1 1Department of Gastroenterology, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, People’s Republic of China; 2Basic Medical College, Hebei Medical University, Shijiazhuang, 050000, People’s Republic of China; 3Department of Trauma Emergency, Medical Noncommissioned Officer School, Army Medical University, Shijiazhuang, 050000, People’s Republic of ChinaCorrespondence: Dong-Qiang ZhaoDepartment of Gastroenterology, The Second Hospital of Hebei Medical University, No. 215 of West Peace Road, Xinhua District, Shijiazhuang, 050000, People’s Republic of ChinaTel +86 0311 66636179Email drzhaodq_1124@163.comObjective: This study aimed to explore the clinical value of endoscopic ultrasonography (EUS) in the endoscopic resection of gastrointestinal stromal tumors (GISTs).Methods: A retrospective study of 92 patients who were confirmed to have GISTs by endoscopic resection after EUS examination was conducted. The preoperative features of the EUS examination, ultrasound diagnosis, endoscopic resection methods, surgical procedures, complications, and complete degree of lesion resection were recorded. And 16 patients who were diagnosed by endoscopy and EUS and confirmed by surgical operation were included and analyzed in the subsequent part of the investigation (gastroscopy and EUS image analysis, EUS image and risk classification).Results: The preoperative diagnosis rate of EUS and postoperative pathological diagnosis of GISTs was 78.7% (85/108), and the presence of a non-homogeneous echo and liquid anechoic zone in GISTs often indicated higher risk (P < 0.05). There was a positive correlation between tumor size and risk (P < 0.05).Conclusion: The endoscopic resection of GISTs is feasible and safe. EUS is of great significance for the diagnosis and risk assessment of GISTs and can assist in the endoscopic resection of GISTs.Keywords: endoscopic ultrasonography, endoscopic resection, gastric stromal tumor, risk assessment, complications

Objetivo: identificar o perfil das enfermeiras atuantes em uma maternidade pública no acolhimento com classificação de risco de uma emergência obstétrica. Método: trata-se de uma pesquisa descritiva e exploratória, realizada entre os meses de outubro e novembro de 2020 por meio de um questionário online. Resultados: ao analisar o questionário respondido pelas enfermeiras que participaram do estudo atuantes no setor de Acolhimento com Classificação de Risco da referida maternidade, é perceptí­vel que o público é predominantemente de mulheres jovens, pretas e pardas, com média de 38 anos de idade e oriundas de faculdades do ensino privado da cidade de Salvador Bahia, com contrato de trabalho terceirizado, e 62,5% com duplo ví­nculo. Conclusão: este perfil possibilita identificar o desenho dos profissionais atuantes nas salas de classificação de risco nas emergências obstétricas e pode ser o caminho de apontar a realidade da precarização dos ví­nculos nos serviços públicos de saúde.

Objective: To develop and validate a prediction model for identifying pregnant women at risk of developing pregnancy-induced hypertension (PIH) to guide treatment decision and classification of man...

Background Esophageal cancer (EC) is a malignant tumor with high mortality. Nomogram is an important tool used in clinical prognostic assessment. We aimed to establish a novel nomogram to predict the overall survival (OS) of EC patients after radical esophagectomy. Methods Data pertaining to the survival, demography, and clinicopathology of 311 EC patients who underwent radical esophagectomy were retrospectively investigated. The nomogram was established based on Cox hazard regression analysis. The calibration curves and Harrell's concordance index (C‐index) were used to verify the predictive accuracy and ROC curves were used to assess the efficacy of the nomogram. Kaplan–Meier curves showed the prognostic value of the related risk classification system. Pearson correlation test was performed to determine the correlation between the risk classification system and TNM staging. Results The median OS and 5‐year survival rates in the primary and validation cohorts were 44 months and 29.8%, and 52 months and 27.1%, respectively. We used six independent prognostic factors—age, Sex, AGR, PRL, N stage, and PNI—in the nomogram. The C‐index of nomogram was 0.75 and 0.70 in the primary and validation cohorts, respectively. Calibration curves indicated high consistency between actual and predicted OS. ROC curves showed that nomogram has a better efficacy compared with TNM staging in both cohorts. Patients were divided into three risk groups according to the total nomogram score, the median OS in each group was significantly different in both cohorts. Furthermore, the risk classification system was strongly correlated with the T and N staging system and exhibited a better OS prediction capability. Conclusions We established a novel and practical nomogram with a subordinate risk classification system to predict the OS of patients after radical esophagectomy. Compared with AJCC staging, this nomogram had preferable clinical capability in terms of individual prognosis assessment., We built and validated a novel nomogram to predict OS in radical esophageal cancer resection patients, the nomogram showed considerable prognostic capability especially compared with AJCC staging. Furthermore, a related risk classification system was generated for clinical evaluation.

Background and Objective Pre-operative risk classification of patients undergoing anesthesia is an essential interest and has been the focus of many research and categorizations. On the other hand, the ideal categorization system, based on medical doctors’ clinical experience and cooperation with other disciplines, has not been developed yet. Methods In this study, 218 consecutive patient undergoing laparoscopic cholecystectomy operations were included. A novel fuzzy logic evaluation model consisting of 270 rules was constructed. Five major (pulmonary, cardiac, diabetes mellitus and renal or liver disease) and three minor criteria (patientsʼ age, cigarette smoking and body mass index) were chosen to be used during high-risk groups determination. Results The verification of the success of risk value decision with the proposed novel fuzzy logic algorithm is the main goal of this study. On the other hand, though not essential aim, a statistical consistency check was also included to have a deeper understanding and evaluation of the graphical results. During the statistical analysis the 0-30%, 30-60% and 60-90% risk ranges were found to be in a very strong positive relationship with complication occurrence. In this study, 172, 31, 15 patients were in 0-30, 30-60 and 60-90% risk ranges, respectively. Complication rates were 7/172 (4.07%) in 0-30% range, 3/31 (9.68%) in 30-60% range; and 2/15 (13.33%) in 60-90% range. Conclusions Fuzzy based risk classification model was successfully used to predict medical results for patients undergoing laparoscopic cholecystectomy operations and reliable deductions were reached.

ObjectiveTo compare the performance of the new ESGO-ESTRO-ESP (European Society of Gynecological Oncology-European Society for Radiotherapy & Oncology-European Society for Pathology) 2020 risk classification system with the previous 2016 risk classification in predicting survival and patterns of recurrence in the Danish endometrial cancer population.MethodsThis Danish national cohort study included 4516 patients with endometrial cancer treated between 2005 and 2012. Five-year Kaplan–Meier adjusted and unadjusted survival estimates and actuarial recurrence rates were calculated for the previous and the new classification systems.ResultsIn the 2020 risk classification system, 81.0% of patients were allocated to low, intermediate, or high-intermediate risk compared with 69.1% in the 2016 risk classification system, mainly due to reclassification of 44.5% of patients previously classified as high risk to either intermediate or especially high-intermediate risk. The survival of the 2020 high-risk group was significantly lower, and the recurrence rate, especially the non-local recurrence rate, was significantly higher than in the 2016 high risk group (2020/2016, overall survival 59%/66%; disease specific 69%/76%; recurrence 40.5%/32.3%, non-local 34.5%/25.8%). Survival and recurrence rates in the other risk groups and the decline in overall and disease-specific survival rates from the low risk to the higher risk groups were similar in patients classified according to the 2016 and 2020 systems.ConclusionThe new ESGO-ESTRO-ESP 2020 risk classification system allocated fewer patients to the high risk group than the previous risk classification system. The main differences were lower overall and disease-specific survival and a higher recurrence rate in the 2020 high risk group. The introduction of the new 2020 risk classification will potentially result in fewer patients at high risk and allocation to the new high risk group will predict lower survival, potentially allowing more specific selection for postoperative adjuvant therapy.

ABTRACTWe aimed to assess the correlation between ISUP 2014 grades of needle biopsy (NB) and radical prostatectomy (RP) specimens and the parameters effecting this correlation. A total of 353 patients, who underwent a radical prostatectomy with diagnose of prostate cancer, were included in the study. Especially, the maximum percentage of core involved by cancer (MPCI) of upgraded group was significantly higher than those of correlated group and downgraded group. MPCI might be used as a preoperative value to determine risk classification and to help counsel patients with regard to treatment decision and prognosis of disease.

Microhematuria is a prevalent condition and the American Urological Association has developed a new risk-stratified approach for the evaluation of patients with microhematuria. Our objective was to provide the first evaluation of this important guideline.This multinational cohort study combines contemporary patients from 5 clinical trials and 2 prospective registries who underwent urological evaluation for hematuria. Patients were stratified into American Urological Association risk strata (low, intermediate or high risk) based on sex, age, degree of hematuria, and smoking history. The primary end point was the incidence of bladder cancer within each risk stratum.A total of 15,779 patients were included in the analysis. Overall, 727 patients (4.6%) were classified as low risk, 1,863 patients (11.8%) were classified as intermediate risk, and 13,189 patients (83.6%) were classified as high risk. The predominance of high risk patients was consistent across all cohorts. A total of 857 bladder cancers were diagnosed with a bladder cancer incidence of 5.4%. Bladder cancer was more prevalent in men, smokers, older patients and patients with gross hematuria. The cancer incidence for low, intermediate and high risk groups was 0.4% (3 patients), 1.0% (18 patients) and 6.3% (836 patients), respectively.The new risk stratification system separates hematuria patients into clinically meaningful categories with differing likelihoods of bladder cancer that would justify evaluating the low, intermediate and high risk groups with incremental intensity. Furthermore, it provides the relative incidence of bladder cancer in each risk group which should facilitate patient counseling regarding the risks and benefits of evaluation for bladder cancer.

Graphical abstract, Introduction Ovarian cancer (OC) is one of the most frequent gynecologic cancers among women, and high-accuracy risk prediction techniques are essential to effectively select the best intervention strategies and clinical management for OC patients at different risk levels. Current risk prediction models used in OC have low sensitivity, and few of them are able to identify OC patients at high risk of mortality, which would both optimize the treatment of high-risk patients and prevent unnecessary medical intervention in those at low risk. Objectives To this end, we have developed a bagging-based algorithm with GA-XGBoost models that predicts the risk of death from OC using gene expression profiles. Methods Four gene expression datasets from public sources were used as training (n = 1) or validation (n = 3) sets. The performance of our proposed algorithm was compared with fine-tuning and other existing methods. Moreover, the biological function of selected genetic features was further interpreted, and the response to a panel of approved drugs was predicted for different risk levels. Results The proposed algorithm showed good sensitivity (74–100%) in the validation sets, compared with two simple models whose sensitivity only reached 47% and 60%. The prognostic gene signature used in this study was highly connected to AKT, a key component of the PI3K/AKT/mTOR signaling pathway, which influences the tumorigenesis, proliferation, and progression of OC. Conclusion These findings demonstrated an improvement in the sensitivity of risk classification of OC patients with our risk prediction models compared with other methods. Ongoing effort is needed to validate the outcomes of this approach for precise clinical treatment.

Backgrounds Oligometastatic Non-Small Cell Lung Cancer (NSCLC) patients represent a category without a standard therapeutic approach. However, in selected oligometastatic NSCLC, radical surgery seems to offer a good prognosis. This retrospective study aimed to analyse the long-term outcomes of synchronous oligometastatic patients treated with curative intent and identify the factors associated with better results and the proposal of a risk stratification system for classifying the synchronous oligometastatic NSCLC. Methods The medical records of patients from 18 centres with pathologically diagnosed synchronous oligometastatic NSCLC were retrospectively reviewed. The inclusion criteria were synchronous oligometastatic NSCLC, radical surgical treatment of the primary tumour with or without neoadjuvant/adjuvant therapy and radical treatment of all metastatic sites. The Kaplan – Meier method estimated survivals. A stratified backward stepwise Cox regression model was assessed for multivariable survival analyses. Results 281 patients were included. The most common site of metastasis was the brain, in 50.89 % patients. Median overall survival was 40 months (95 % CI: 29–53). Age ≤65 years (HR = 1.02, 95 % CI: 1.00–1.05; p = 0.019), single metastasis (HR = 0.71, 95 % CI: 0.45–1.13; p = 0.15) and presence of contralateral lung metastases (HR = 0.30, 95 % CI: 0.15 – 0.62; p = 0.001) were associated with a good prognosis. The presence of pathological N2 metastases negatively affected survival (HR = 2.00, 95 % CI: 1.21–3.32; p = 0.0065). These prognostic factors were used to build a simple risk classification scheme. Conclusions Treatment of selected synchronous oligometastatic NSCLC with curative purpose could be conducted safely and at acceptable 5-year survival levels, especially in younger patients with pN0 disease.

Although refeeding syndrome (RFS) has been recognized as a potentially fatal metabolic complication, the definition of RFS has remained unclear. Recently, European researchers suggested an evidence-based and consensus-supported algorithm that consisted of a new RFS risk classification and treatment strategies for medical inpatients. The classification was based on the National Institute for Health and Clinical Excellence (NICE) criteria for patients at risk of developing RFS. In this study, we aimed to investigate the frequency of each applied new risk group and the association between the new classification and mortality in critically ill patients.This cohort study was conducted at a Japanese metropolitan tertiary-care university hospital from December 2016 to December 2018. We included critically ill adult patients who were admitted to the intensive care unit (ICU) via the emergency department and who stayed in the ICU for 24 h or longer. We applied the new risk classification based on the NICE RFS risk factors on ICU admission. The main exposure was risk classification of RFS: no risk, low risk, high risk, or very high risk. The primary outcome was in-hospital mortality censored at day 30 after ICU admission. We performed a multivariable analysis using Cox proportional hazard regression.We analyzed 542 patients who met the eligibility criteria. The prevalence of the four RFS risk classification groups was 25.8% for no risk, 25.7% for low risk, 46.5% for high risk, and 2.0% for very high risk. The 30-day mortality was 5.0%, 7.2%, 16.3%, and 27.3%, respectively (log-rank trend test: p 0.001). In the multivariable Cox regression, adjusted hazard ratios with no risk group as a reference were 1.28 (95% CI 0.48-3.38) for low risk, 2.81 (95% CI 1.24-6.35) for high risk, and 3.17 (95% CI 0.78-12.91) for very high risk.Approximately half the critically ill patients were categorized as high or very high risk based on the new risk classification. Furthermore, as the risk categories progressed, the 30-day in-hospital mortality increased. Early recognition of patients at risk of developing RFS may improve patient outcomes through timely and optimal nutritional treatment.

Background and Aims This study aimed to investigate whether AI via a deep learning algorithm using endoscopic ultrasonography (EUS) images could predict the malignant potential of gastric gastrointestinal stromal tumors (GISTs). Methods A series of patients who underwent EUS before surgical resection for gastric GISTs were included. A total of 685 images of GISTs from 55 retrospectively included patients were used as the training data set for the AI system. Convolutional neural networks were constructed to build a deep learning model. After applying the synthetic minority oversampling technique, 70% of the generated images were used for AI training and 30% were used to test AI diagnoses. Next, validation was performed using 153 EUS images of 15 patients with GISTs. In addition, conventional EUS features of 55 patients in the training cohort were evaluated to predict the malignant potential of GISTs and mitotic index. Results The overall sensitivity, specificity, and accuracy of the AI system for predicting malignancy risk were 83%, 94%, and 82% in the training dataset, and 75%, 73%, and 66% in the validation cohort, respectively. When patients were divided into low-risk and high-risk groups, sensitivity, specificity, and accuracy increased to 99% in the training dataset and 99.7%, 99.7%, and 99.6%, respectively, in the validation cohort. No conventional EUS features were found to be associated with either malignant potential or mitotic index (P > 0.05). Conclusions AI via a deep learning algorithm using EUS images could predict the malignant potential of gastric GISTs with high accuracy. Graphic

Objective: The study aims to explore the role of computed tomography (CT) in clinical diagnosis, thus having a preliminary understanding of the relationship between CT signs and the risk of gastric stromal tumors (GSTs). Methods: In this study, 213 patients with GST with complete preoperative CT and postoperative pathological results in Yancheng No. 1 People's Hospital from January 2016 to August 2019 are selected as research objects. The patient's basic information is collected. CT machine (Toshiba 320 row CT and Siemens dualsource CT (Somatom Definition Flash)) is used to examine all patients. The obtained image data are evaluated. Patients are divided into low-risk group, medium risk group and high-risk group according to the risk classification standard of GST. The data collected are analyzed statistically. Results: After risk classification of all patients, 87 patients in low-risk group, 74 in medium-risk group and 52 in high-risk group are found. After further analysis of the risk classification, it is found that there is no significant difference in GST risk classification between the tumor sites (P > 0.05). In the GST risk classification, the smaller the tumor, the more the low-risk group, the larger the tumor, the more the high-risk group, the difference is statistically significant (P < 0.05). In the observation of the relationship between tumor growth pattern and risk classification, it is found that the number of intraluminal growth is the most, while mixed growth is the least (P < 0.05). Further analysis of tumor density, solid part enhancement, distant metastasis and risk grade show that there are significant differences (P < 0.05). Conclusion: As an auxiliary diagnostic method in clinic, CT signs can be used to analyze the relationship with risk grade from tumor location, tumor size, tumor growth mode, tumor density, solid part enhancement degree and tumor distant metastasis, so as to have a more accurate understanding of patients' situation, and provide experimental basis for the later application of CT signs in tumor and auxiliary diagnosis.

A Prospective cross-sectional examination was completed so as to survey the solution design in pregnant ladies. Going to Antenatal in and Outpatient Department of a Tertiary Care Hospital. A cross-sectional investigation was led by looking into the antenatal consideration In & outpatient office case papers of 230 irregular pregnant ladies. The remedy design was surveyed and the medications were arranged dependent on the US FDA Risk Classification. Out of 230 solutions, just 177 remedies had medicates other than iron, folic corrosive and calcium lactate. In this examination the majority of the medications endorsed falls under class B (26.6%), a reasonable number of medications falls under classification A (16.60%) and C (16.60%) and a couple of medications fall under classification D (6.66%). No medications having a place with class X were recommended. The current examination uncovers that the medication use during pregnancy in and around Bapatla area was insignificant and the majority of the medications were recommended by their conventional names. Recommending by nonexclusive name is known to decrease the expense of medication treatment, defended drug treatment and maintains a strategic distance from disarray.

Background A subset of patients with hypertrophic cardiomyopathy (HCM) is at high risk of sudden cardiac death (SCD). Practice guidelines endorse use of a risk calculator, which requires entry of left atrial (LA) diameter. However, American Society of Echocardiography (ASE) guidelines recommend the use of LA volume index (LAVI) for routine quantification of LA size. The aims of this study were to (a) develop a model to estimate LA diameter from LAVI and (b) evaluate whether substitution of measured LA diameter by estimated LA diameter derived from LAVI reclassifies HCM‐SCD risk. Methods The study cohort was comprised of 500 randomly selected HCM patients who underwent transthoracic echocardiography (TTE). LA diameter and LAVI were measured offline using digital clips from TTE. Linear regression models were developed to estimate LA diameter from LAVI. A European Society of Cardiology endorsed equation estimated SCD risk, which was measured using LA diameter and estimated LA diameter derived from LAVI. Results The mean LAVI was 48.5 ± 18.8 mL/m2. The derived LA diameter was 45.1 mm (SD: 5.5 mm), similar to the measured LA diameter (45.1 mm, SD: 7.1 mm). Median SCD risk at 5 years estimated by measured LA diameter was 2.22% (interquartile range (IQR): 1.39, 3.56), while median risk calculated by estimated LA diameter was 2.18% (IQR: 1.44, 3.52). 476/500 (95%) patients maintained the same risk classification regardless of whether the measured or estimated LA diameter was used. Conclusions Substitution of measured LA diameter by estimated LA diameter in the HCM‐SCD calculator did not reclassify risk.

Introduction: Tracheoesophageal fistula (TEF) is one of the common congenital anomalies presented at birth. Management of TEF is a challenging task as outcome of these cases not only depends on surgeon and anaesthesiologist’s skills but also depends on various factors associated with new born. This prospective study evaluates the association of various factors on survival of TEF patients. Materials and Methods: 16 newborn patients in a calendar year were enrolled in this prospective study and impact of various factors like age, weight, parity of mother, associated congenital anomalies and family history, mode of delivery, place of delivery, associated hydramnios and type of TEF were evaluated on the survival of neonates born with TEF. Results: Male, female ratio was equal. Patient with birth weight >2.5 kg had higher survival rate (100%) compared to patient Conclusion: Birth weight remains the single most important predictor of mortality among TEF patients, as suggested with Waterston risk classification. Keywords: Tracheoesophageal fistula, Birth weight, Neonates, Waterston classification.

Introduction. Prostate cancer is currently a public health problem with a frequency that varies from country to country. This study aims to describe the epidemiological, clinical, and histopathological and outcome features of prostate cancer in Lubumbashi in the Democratic Republic of Congo. Materials and Methods. This was a descriptive longitudinal study of patients diagnosed with prostate cancer at the University Clinics of Lubumbashi. The study period was 3 years (2017 to 2019). Parameters studied were age and clinical, biological (PSA level, prostatic specific antigen), histopathological, and outcome features. Results. The mean age of patients was 68.7 years (range: 47 and 90 years). The 60 to 69 age group was the most affected (43.18%). Elderly subjects (≥60 years old) represented 89.77% of the cases (n = 79). Voiding disorders were the main reason for consultation in 55.68% of the cases. The mean PSA level was 133.7 ng/ml (range: 4 and 1564.5 ng/ml) at diagnosis and 125.4 ng/ml after 3 months of follow-up (range: 0.16 and 1782.1 ng/ml). Adenocarcinoma was the predominant histological type (100%). In prognosis, 31.82% of patients had a Gleason score greater than 7 and 59.10% had a high risk at the D’Amico risk classification for Prostate Cancer. Hormone therapy was administered alone in 75% of the cases and in combination with pulpectomy in 13.64% of the cases. The 3-year overall survival was 56.82%. Conclusion. Prostate cancer is frequent and has a poor outcome in our country. The establishment of an individual screening policy would be an undeniable advantage in improving the prognosis.

Aim: Stratification of hepatoblastoma (HB) patients is based on clinical and imaging characteristics obtained at the time of diagnosis. We aim to integrate biomarkers into a tool that accurately predicts survival of HB patients. Methods: We retrospectively analysed 174 HB patients for the presence of four biomarkers and explored their prognostic potential by correlating with overall survival (OS) and event-free survival (EFS). Results: Mutations of CTNNB1, NFE2L2 and TERT were found in 135 (78%), 10 (6%) and 10 (6%) patients, respectively, and the adverse C2 subtype of the 16-gene signature in 63 (36%) patients. C2-patients had more frequent metastatic disease, higher alpha-fetoprotein levels, non-fetal histology and significantly worse 3-year OS (68% versus 95%) and EFS (63% versus 87%) than C1-patients. Patients carrying a NFE2L2 mutation had a significantly worse 3-year OS (57% versus 88%) than NFE2L2 wild-type patients and were more likely to have vessel invasive growth and non-fetal histology. TERT mutations were almost exclusively found in older patients, whereas CTNNB1 mutations showed no association with any clinical feature or outcome. In a multivariable analysis, the C2 subtype remained a significant predictor of poor outcome with hazard ratios of 6.202 and 3.611 for OS and EFS, respectively. When added to the Children's Hepatic tumors International Collaboration risk stratification, the presence of the C2 subtype identified a group of high-risk patients with a very poor outcome. Conclusion: We propose a new stratification system based on the combination of clinical factors and the 16-gene signature, which may facilitate a risk-adapted management of HB patients. (C) 2020 The Author(s). Published by Elsevier Ltd.

Este estudo tem como objetivo analisar e caracterizar a demanda de pacientes com doença crônica não transmissí­vel que utilizam a UPA, foram selecionadas as DCNT mais comuns entre a população de acordo com o Ministério da Saúde. Trata-se de um estudo descritivo, de natureza quantitativa, realizado em uma UPA, no municí­pio de Piracicaba, nos meses de maio e junho de 2018. Na coleta de dados foram analisados um total de 25.748 Fichas de Atendimento Ambulatorial, deste total foram selecionadas 582 fichas que apresentavam uma queixa relacionada a uma DCNT. Observou-se uma predominância do sexo feminino e a faixa etária entre 50 a 54 anos, a classificação de risco com maior frequência foi a da cor verde. As principais DCNT apresentadas foram lombalgia (46,2%; n =244) e asma (21,6%; n =114) e as queixas presentes no momento da triagem foram dor lombar (54,4%; n = 287) e falta de ar (20,1%; n = 106), os pacientes desta UPA em sua maioria recebem alta após medicação ou alta com receita médica e o estudo evidência que há uma recidiva de usuários na unidade, o qual pode ser de 1 í 5 vezes no mesmo mês (90,9%; n = 468). Conclui-se que houve pouco quantitativo de atendimentos relacionados a DCNT, as queixas mais comuns podem estar relacionadas ao clima do ano. Porém, algumas fichas não apresentavam concordância entre suas informações e as recidivas indicam que o usuário não procurou a atenção básica, que deve ser a principal porta de entrada para o sistema de saúde.

BackgroundPatients with type 1 diabetes (T1D) have higher mortality risk compared to the general population; this is largely due to increased rates of cardiovascular disease (CVD). As accurate CVD risk stratification is essential for an appropriate preventive strategy, we aimed to evaluate the concordance between 2019 European Society of Cardiology (ESC) CVD risk classification and the 10-year CVD risk prediction according to the Steno Type 1 Risk Engine (ST1RE) in adults with T1D.MethodsA cohort of 575 adults with T1D (272F/303M, mean age 36 ± 12 years) were studied. Patients were stratified in different CVD risk categories according to ESC criteria and the 10-year CVD risk prediction was estimated with ST1RE within each category.ResultsMen had higher BMI, WC, SBP than women, while no difference was found in HbA1c levels between genders. According to the ESC classification, 92.5% of patients aged 20 years) alone identified few patients (ConclusionsUsing ESC criteria, a large proportion (45%) of T1D patients without CVD are classified at very high CVD risk; however, among them, none of those

Neoadjuvant chemoradiotherapy (nCRT) followed by total mesorectal excision and adjuvant chemotherapy is the standard regimen for patients with locally advanced rectal cancer (LARC). However, whether and to which extent neoadjuvant radiotherapy could be removed from nCRT for patients with LARC is still unclear. This was a multicenter, retrospectively recruited, prospectively maintained cohort study. A propensity score matching model was employed to minimize potential confounding factors between subgroup patients treated with neoadjuvant chemotherapy (nCT) or nCRT. Overall survival (OS), disease‐free survival (DFS), local recurrence‐free survival (LRFS), and distant metastasis‐free survival (DMFS) were assessed between subgroup patients by Kaplan‐Meier analysis, log‐rank test, and Cox regression model. In total, 3233 consecutive patients, consist of 571 nCT and 2662 nCRT‐treated cases, were included. After propensity score matching (1:4), 565 nCT‐treated patients were matched to 1852 nCRT‐treated patients. Compared with nCT, nCRT treatment indeed decreased 3‐y local recurrence (10.0% vs 6.6%, P = .026), but had no impact on OS, DFS and DMFS (all P > .05) for LARC. Stratified analysis further confirmed that nCRT treatment was associated with higher 3‐y LRFS and 3‐y DFS than nCT treatment for baseline high‐risk subgroup (cT4, cN+, and cIII stage) patients (all P < .05). Conversely, for the baseline low‐risk subgroup patients (cT3, cN0, and cII stage), nCRT and nCT treatment had similar 3‐y OS, LRFS, DFS, and DMFS (all P > .05). The administration of neoadjuvant radiotherapy for LARC patients might be determined by baseline risk classification, the high‐risk individuals could be delivered while low‐risk patients might be omitted., Neoadjuvant radiotherapy could not increase survival for baseline low‐risk (cT3, cN0, cII stage) subgroup locally advanced rectal cancer patients. But neoadjuvant radiotherapy should not be removed from neoadjuvant treatment regimen for the baseline high‐risk (cT4, cN+, cIII) subset locally advanced rectal cancer patients.

Objective: Although the prognostic role of BRAFV600E mutation in papillary thyroid carcinoma (PTC) is controversial, the American Thyroid Association (ATA) includes the mutational status in their risk stratification system. To evaluate the impact of the BRAFV600E mutation status on PTC risk stratification. Subjects and methods: PTC patients attending a university-based hospital who had the analysis of the BRAFV600E mutation were included. Persistent disease was defined as the presence of biochemical or structural disease. The performance of the ATA risk stratification system on predicting persistent disease with or without the BRAFV600E mutation status information was evaluated. Results: Of the 134 patients evaluated, 44 (32.8%) carried BRAFV600E mutation. The median tumor size was 1.7 cm (P25-75 1.0-3.0), 64 (47.8%) patients had lymph node, and 11 (8.2%) distant metastases. According to the ATA risk stratification system, patients were classified as low, intermediate, and high risk in 55 (41%), 59 (44%), and 20 (14%) patients, respectively.The data on BRAFV600E mutation reclassified 12 (8.9%) patients from low to intermediate risk. After a median follow-up of 8.5 years, the prevalence of persistent disease was similar in patients with and without BRAFV600E mutation (P = 0.42). Multivariate analysis failed to demonstrate an association between the BRAFV600E mutation and persistent disease status (RR 0.96; 95%CI 0.47-1.94). Notably, none of the patients reclassified from low to intermediate risk showed persistent disease on follow-up. Conclusion: Inclusion of BRAFV600E mutational status has a limited impact on risk stratification and does not add to the prediction of outcomes in PTC patients. Arch Endocrinol Metab. 2020;64(6):751-7., SCOPUS: ar.j, info:eu-repo/semantics/published

Ovarian germ cell tumors (GCTs) are rare in adults, but are more common in adolescents and young adults. Contemporary management of ovarian GCTs is evolving as collaboration among pediatric, medical, and gynecologic oncologists increases, and studies increasingly incorporate female adult patients. Despite an improved understanding of ovarian GCT, many questions remain. Areas of continued controversy include which stage I ovarian GCTs and immature teratomas can be observed without adjuvant therapy, appropriate risk classification for ovarian GCT, surveillance strategies, and optimal therapy for recurrence. These topics as well as active areas of clinical investigation are discussed.

Minor salivary gland carcinoma (MiSGC) is rare, and the understanding of this disease is insufficient. This study aimed to identify independent risk factors and develop a nomogram for evaluating the overall survival (OS) and cancer-specific survival (CSS) of patients with MiSGC.Retrospective cohort study.SEER database (Surveillance, Epidemiology, and End Results).We collected data from patients diagnosed with MiSGC between 2004 and 2015 from the SEER database. According to patient registration, all patients were randomly allocated to training sets and validation sets (2:1). Then, Kaplan-Meier product limit curves and Cox proportional hazard regressions were performed to estimate the prognostic effect of variables. Nomograms based on Cox proportional hazard regressions were established to estimate 3- and 5-year OS and CSS. Finally, the nomogram was developed by the training set, and validation was performed with the concordance index, calibration curves, and decision curve analyses.In total, 1787 MiSGC cases were registered in SEER. The concordance index for internal validation of OS and CSS prediction was 0.842 and 0.816; that of external validation was 0.871 and 0.831. The calibration plots showed good consistency between nomogram prediction and actual survival. The decision curve analysis showed substantial net benefits of the new predictive model.We constructed nomograms and a corresponding risk classification system predicting the OS and CSS of patients with MiSGC. These tools can generate simple-to-use clinical risk grouping and determine the relationship between adjuvant therapy and active surveillance.

Objectives Despite just a 4-year interval from the last version (2015) of the Clinical Practice Guidelines for Bladder Cancer, several dramatic paradigm shifts have occurred in the latest clinical practice regarding both the diagnosis and treatment of bladder cancer. Herein, we updated the 2019 version of the Clinical Practice Guidelines for Bladder Cancer under the instruction of the Japanese Urological Association. Methods We previously reported in a revision working position paper for Clinical Practice Guidelines for Bladder Cancer 2019 edition and described the methods of revision detail. Results The major points of change in the 2019 version are presented and explanations are given as follows: (i) introduction of the new reference assessment system; (ii) modification of the risk classification for non-muscle-invasive bladder cancer; (iii) addition of clinical questions for the new tumor-visible techniques in non-muscle-invasive bladder cancer; (iv) inclusion of minimally invasive surgeries for muscle-invasive bladder cancer and immune checkpoint inhibitors for locally advanced/metastatic muscle-invasive bladder cancer; (v) overview chapter of the histological variant of urothelial cancer and rare cancers of the bladder; and (vi) recommendation of follow up in non-muscle-invasive bladder cancer and muscle-invasive bladder cancer. Conclusions Guidelines should be updated based on the current evidence and updates carried out without delay. The hope is that this guidelines will be assessed by many urologists and will be the cornerstone for the next revision.

Several studies have shown improvement in cardiometabolic risk factors, as well as in the related mortality following bariatric surgery. However, few studies have assessed changes in the estimated cardiovascular risk. The aim of the present study was to investigate the effect of bariatric surgery on the estimated 10-year atherosclerotic cardiovascular disease (ASCVD) risk. We performed a retrospective analysis from a prospectively maintained database of patients who underwent a primary bariatric procedure from 2004 to 2018. The 10-year ASCVD risk was estimated before and after 1 year of surgery using the ASCVD Risk Estimator Plus of the American College of Cardiology. Changes in the ASCVD risk were evaluated. There were 58 (51.3%) women and 55 (48.7%) men with a mean age of 49.9 years. Before surgery, 64 patients had arterial hypertension, 57 T2DM, and 49 were smokers. Baseline mean estimated 10-year ASCVD risk was 8.50 ± 7.92%. Fifty-one (45.1%), 10 (8.8%), 41 (36.3%), and 11 (9.7%) patients were classified as low, borderline, intermediate, and high risk, respectively. One year after surgery, 92.9% of the patients showed a reduction of the estimated 10-year ASCVD risk. Mean values were significantly lower (5.31 ± 5.95%) when compared to basal ones (p

Purpose: To investigate the relation between the eighth edition of the American Joint Committee on Cancer staging system and histological risk classification for primary eyelid basal cell carcinoma. Methods: Retrospective, observational case series of patients undergoing excisional biopsy for primary eyelid basal cell carcinoma in two tertiary centres between 2008 and 2018. Patients with Results: A total of 222 cases were included over a 10-year period, with a mean (range) follow-up of 25.74 (6–120) months and a median (range) age of 70 (28–93) years. According to American Joint Committee on Cancer 8, the most common T category was T1a (64%), followed by T1b (18%) and T2a (8%). Of the 222 specimens, 183 (82.43%), 17 (7.66%), 19 (8.56%) and 3 (1.35%) were staged as IA, IB, IIA and IIB, respectively. The most common histological subtype was nodular in IA category and infiltrative in categories IB and IIA. Histologically, low-risk basal cell carcinomas were related to lower American Joint Committee on Cancer staging (IA), whereas high-risk basal cell carcinomas were related to American Joint Committee on Cancer stages IB and IIA (p Conclusion: American Joint Committee on Cancer 8 staging system is strongly related to primary eyelid basal cell carcinoma histological risk classification.

Eine moglichst standardisierte, aber trotzdem den individuellen Erkrankungen angepasste und zielgerichtete Anamnese und korperliche Untersuchung sind essenzieller Bestandteil einer praoperativen Evaluation. Das im Rahmen der nichtapparativen Diagnostik erhobene individuelle kardiovaskulare Risikoprofil bedarf einer gezielten weiterfuhrenden Diagnostik mit nicht-invasiven und invasiven Untersuchungen, um das individuelle Risiko fur das Auftreten unerwunschter kardiovaskularer Ereignisse valide einzuschatzen. Dabei sollten die praoperativen Untersuchungsablaufe auf den medizinisch notwendigen Bedarf begrenzt werden, um die materiellen und personellen Ressourcen optimal einsetzen zu konnen. Im nachfolgenden Manuskript soll ein praktischer Leitfaden zur praoperativen kardiovaskularen Risikoevaluation vor elektiven, allgemeinchirurgischen Eingriffen vorgestellt werden.

Atherosclerosis, a systemic disease, is the predominant cause of cardiovascular disease (CVD) that far exceeds other causes (egs: congenital, hypertension, arrhythmia). CVD is the leading cause of mortality globally (18 million lives, including 9 million from coronary artery disease (CAD) annually).1 The Global Burden of Disease study reported that in the year 2017, India had one of the highest mortality, most of them premature, from CVD (2.64 million, women 1.18, men 1.45) and CAD (1.54 million, women 0.62, men 0.92) in the world.2 A systemic disease of this magnitude and impact warrants a proactive preventive strategy and not a reactive, invasive and focal approach. In this editorial, we call for a wider use of statins in Indians, explain our rationale based on risk factors and risk-enhancing factors, and present a simplified and cost effective approach to combat CVD.

Guidelines published by the Japan Association of Endocrine Surgeons (JAES)/Japanese Society of Thyroid Surgery (JSTS) for patients with papillary thyroid carcinoma describe four risk classes (very low-, low-, intermediate- and high-risk) for deciding on therapeutic strategies. Here, we investigate cause-specific survival (CSS) of high- and intermediate-risk patients, taking their age into consideration. CSS of intermediate-risk patients ≥55 years was poorer than that of those55 years (p0.0001) (20-year CSS rates, 96.9% vs. 98.7%). CSS of intermediate-risk patients55 years was excellent but still poorer (p = 0.0152) than that of low- or very low-risk patients (20-year CSS rates, 100%). CSS of high-risk patients55 years (20-year CSS rates, 96.0%) was similar (p = 0.7412) to that of intermediate-risk patients ≥55 years, while high-risk patients ≥55 years (20-year CSS rates, 80.6%) showed much poorer prognosis (p0.0001) than the others. In high-risk patients55 years, distant metastasis (M1), extrathyroid extension (Ex), node metastasis ≥3 cm, and extranodal tumor extension, and in those ≥55 years, M1, Ex, and tumor size4 cm were regarded as prognostic factors on multivariate analysis. We therefore conclude that 1) prognosis of high-risk patients ≥55 years should be carefully treated because of significantly poor prognosis, 2) prognostic factors of high-risk patients vary according to patient age, and 3) overtreatment of intermediate-risk patients and young high-risk patients should be avoided; however, appropriate treatment strategies need to be established, considering that their prognoses are excellent, but still poorer than low- or very low-risk patients.

Telematicsdevices installed in insured vehicles provide actuaries with new risk factors, such as the time of the day, average speeds, and other driving habits. This paper extends the multivariate mixed model describing the joint dynamics of telematics data and claim frequencies proposed by Denuit et al. (2019a) by allowing for signals with various formats, not necessarily integer-valued, and by replacing the estimation procedure with the Expected Conditional Maximization algorithm. A numerical study performed on a database related to Pay-How-You-Drive, or PHYD motor insurance illustrates the relevance of the proposed approach for practice.

A previously developed and centrally validated MammaPrint® (MP) and BluePrint® (BP) targeted RNA next-generation sequencing (NGS) kit was implemented and validated in two large academic European hospitals. Additionally, breast cancer molecular subtypes by MP and BP RNA sequencing were compared with immunohistochemistry (IHC). Patients with early breast cancer diagnosed at University Hospitals Leuven and Curie Institute Paris were prospectively included between September 2017 and January 2018. Formalin-fixed paraffin-embedded tissue sections were analyzed with MP and BP NGS technology at the beta sites and with both NGS and microarray technology at Agendia. Raw NGS data generated on Illumina MiSeq instruments at the beta sites were interpreted and compared with NGS and microarray data at Agendia. MP and BP NGS molecular subtypes were compared to surrogate IHC breast cancer subtypes. Equivalence of MP and BP indices was determined by Pearson's correlation coefficient. Acceptable limits were defined a priori, based on microarray data generated at Agendia between 2012 and 2016. The concordance, the Negative Percent Agreement and the Positive Percent Agreement were calculated based on the contingency tables and had to be equal to or higher than 90%. Out of 124 included samples, 48% were MP Low and 52% High Risk with microarray. Molecular subtypes were BP luminal, HER2 or basal in 82%, 8% and 10% respectively. Concordance between MP microarray at Agendia and MP NGS at the beta sites was 91.1%. Concordance of MP High and Low Risk classification between NGS at the beta sites and NGS at Agendia was 93.9%. Concordance of MP and BP molecular subtyping using NGS at the beta sites and microarray at Agendia was 89.5%. Concordance between MP and BP NGS subtyping, and IHC was 71.8% and 76.6%, for two IHC surrogate models. The MP/BP NGS kit was successfully validated in a decentralized setting. ispartof: Translational Oncology vol:12 issue:12 pages:1557-1565 ispartof: location:United States status: Published online

Purpose We initially aimed to ascertain the application value of inflammatory indexes in predicting severe acute radiation pneumonitis (SARP). Furthermore, a novel nomogram and risk classification system integrating clinicopathologic, dosimetric, and biological parameters were built to provide individualized risk assessment and accurate prediction of SARP in patients with esophageal cancer who received radiation therapy. Methods and Materials All data were retrospectively collected from 416 esophageal cancer patients in 2 participating institutes. A novel nomogram was constructed that forecasted SARP based on logistic regression analyses. The concordance index, calibration curves, and decision curve analyses were used by both internal and external validation to demonstrate discriminatory and predictive capacity. Moreover, a corresponding risk classification system was generated by recursive partitioning analysis. Results The Subjective Global Assessment score, pulmonary fibrosis score, planning target volume/total lung volume, mean lung dose, and ratio of change regarding systemic immune inflammation index at 4 weeks in the course of treatment were independent predictors of SARP and finally incorporated into our nomogram. The concordance index of nomogram for SARP prediction was 0.852, which showed superior discriminatory power (range, 0.604-0.712). Calibration curves indicated favorable consistency between the nomogram prediction and the actual outcomes. Decision curve analyses exhibited satisfactory clinical utility. A risk classification system was established to perfectly divide patients into 3 different risk groups, which were low-risk group (6.1%, score 0-158), intermediate-risk group (37.3%, score 159-280), and high-risk group (78.9%, score >280). Conclusions The Subjective Global Assessment score, pulmonary fibrosis score, planning target volume/total lung volume, mean lung dose, and ratio of change regarding systemic immune inflammation index at 4 weeks were potential valuable markers in predicting SARP. The developed nomogram and corresponding risk classification system with superior prediction ability for SARP could assist in patient counseling and provide guidance when making treatment decisions.

Background It is uncertain whether risk classification under the nationwide program on screening and lifestyle modification for metabolic syndrome captures well high‐risk individuals who could benefit from lifestyle interventions. We examined the validity of risk classification by linking the incidence of cardiovascular disease (CVD). Methods and Results Individual‐level data of 29 288 Japanese individuals aged 40 to 74 years without a history of CVD from 10 prospective cohort studies were used. Metabolic syndrome was defined as the presence of high abdominal obesity and/or overweight plus risk factors such as high blood pressure, high triglyceride or low high‐density lipoprotein cholesterol levels, and high blood glucose levels. The risk categories for lifestyle intervention were information supply only, motivation‐support intervention, and intensive support intervention. Sex‐ and age‐specific hazard ratios and population attributable fractions of CVD, which were also further adjusted to consider non–high density lipoprotein cholesterol levels, were estimated with reference to nonobese/overweight individuals, using Cox proportional hazard regression. Since the reference category included those with risk factors, we set a supernormal group (nonobese/overweight with no risk factor) as another reference. We documented 1023 incident CVD cases (565 men and 458 women). The adjusted CVD risk was 60% to 70% higher in men and women aged 40 to 64 years receiving an intensive support intervention, and 30% higher in women aged 65 to 74 years receiving a motivation‐support intervention, compared with nonobese/overweight individuals. The population attributable fractions in men and women aged 40 to 64 years receiving an intensive support intervention were 17.7% and 6.6%, respectively, while that in women aged 65 to 74 years receiving a motivation‐support intervention was 9.4%. Compared with the supernormal group, nonobese/overweight individuals with risk factors had similar hazard ratios and population attributable fractions as individuals with metabolic syndrome. Conclusions Similar CVD excess and attributable risks among individuals with metabolic syndrome components in the absence and presence of obesity/overweight imply the need for lifestyle modification in both high‐risk groups.

Aim: To clinically validate the 40-gene expression profile (40-GEP) test for cutaneous squamous cell carcinoma patients and evaluate coupling the test with individual clinicopathologic risk factor-based assessment methods. Patients & methods: In a 33-site study, primary tumors with known patient outcomes were assessed under clinical testing conditions (n = 420). The 40-GEP results were integrated with clinicopathologic risk factors. Kaplan–Meier and Cox regression analyses were performed for metastasis. Results: The 40-GEP test demonstrated significant prognostic value. Risk classification was improved via integration of 40-GEP results with clinicopathologic risk factor-based assessment, with metastasis rates near the general cutaneous squamous cell carcinoma population for class 1 and ≥50% for class 2B. Conclusion: Combining molecular profiling with clinicopathologic risk factor assessment enhances stratification of cutaneous squamous cell carcinoma patients and may inform decision-making for risk-appropriate management strategies.

This study was conducted to compare the long-term oncological outcomes of laparotomy and laparoscopic surgeries in endometrial cancer under the light of the 2016 ESMO-ESGO-ESTRO risk classification system, with particular focus on the high–intermediate-and high-risk categories. Using multicentric databases between January 2005 and January 2016, disease-free and overall survivals of 2745 endometrial cancer cases were compared according to the surgery route (laparotomy vs. laparoscopy). The high–intermediate-and high-risk patients were defined with respect to the 2016 ESMO-ESGO-ESTRO risk classification system, and they were analyzed with respect to differences in survival rates. Of the 2745 patients, 1743 (63.5%) were operated by laparotomy, and the remaining were operated with laparoscopy. The total numbers of high–intermediate- and high-risk endometrial cancer cases were 734 (45%) patients in the laparotomy group and 307 (30.7%) patients in the laparoscopy group. Disease-free and overall survivals were not statistically different when compared between laparoscopy and laparotomy groups in terms of low-, intermediate-, high–intermediateand high-risk endometrial cancer. In conclusion, regardless of the endometrial cancer risk category, long-term oncological outcomes of the laparoscopic approach were found to be comparable to those treated with laparotomy. Our results are encouraging to consider laparoscopic surgery for high–intermediate- and high-risk endometrial cancer cases., NA

Purpose The validity of the risk classification according to Ang for human papillomavirus (HPV)-related oropharyngeal squamous cell carcinoma (OPSCC) remains to be studied in patients treated by methods other than chemoradiotherapy and in Japanese patients. In this study, the validity of Ang's risk classification was studied in Japanese patients treated using various methods, including surgery.Material and Method Between 2010 and 2018, 122 patients with HPV-related OPSCC stages III and IV according to the TNM classification 7th edition (TNM-7) were treated curatively at a single institution in Japan. The median age was 62.7 years. Sixty-seven patients (54.9%) were classified as stage I according to the TNM 8th edition (TNM-8). Over 50% of the patients underwent surgery with or without adjuvant therapy. The influence of multiple factors on survival was determined.Results Age, amount of smoking, secondary cancer, and N-stage according to the TNM-7 significantly influenced survival. Ang's risk classification was also predictive of prognosis, but if 30 pack-years (PYs) instead of 10 PYs is employed to dichotomize the amount of smoking, the new risk classification can significantly better predict prognosis. According to the new risk classification, favorable and unfavorable risk patients showed 5-year progression-free survival, disease-specific survival, and overall survival rates of 72.7% and 35.9%, 94.6% and 76.2%, and 92.6% and 62.7%, respectively.Conclusions Even in patients treated by methods other than chemoradiotherapy and in Japanese patients, the combination of the amount of smoking and neck node status is useful in prognosis prediction.

PURPOSE OF REVIEW Historically, children with congenital heart disease have been restricted from exercise, contributing to a sedentary lifestyle as well as increased cardiovascular risk factors. Given the large benefits and small risks of exercise in this population, guidelines have recently shifted towards exercise promotion. However, these recommendations have yet not gained traction and children with congenital heart disease continue to live sedentary lives. The purpose of this review is to summarize the current literature on exercise and exercise promotion in this population. RECENT FINDINGS New literature reinforces the importance of recommending exercise and improving exercise capacity both in congenital heart disease in general and for specific lesions. Exercise recommendations should be individualized based on functional parameters using a structured methodology to approach the evaluation, risk classification, and prescriptions of exercise and physical activity. SUMMARY Regular exercise is essential for children with congenital heart disease and providers must take an active role in providing exercise recommendations for their patients. Exercise promotion remains a challenge, necessitating novel approaches to promote exercise. Further studies are needed to improve the risk stratification of patients with congenital heart disease, assess the long-term outcomes of specific exercise interventions, and inform individualized recommendations to encourage children with congenital heart disease to safely engage in exercise and establish healthy lifelong habits that will decrease their cardiovascular risk.

Background: The objective of this study was to construct a risk classification system integrating cell-free Epstein-Barr virus (cfEBV) DNA with T- and N- categories for better prognostication in nasopharyngeal carcinoma (NPC). Methods: Clinical records of 10,149 biopsy-proven, non-metastatic NPC were identified from two cancer centers; this comprised a training ( N = 9,259) and two validation cohorts ( N = 890; including one randomized controlled phase 3 trial cohort). Adjusted hazard ratio (AHR) method using a two-tiered stratification by cfEBV DNA and TN-categories was applied to generate the risk model. Primary clinical endpoint was overall survival (OS). Performances of the models were compared against American Joint Committee on Cancer/Union for International Cancer Control (AJCC/UICC) 8th edition TNM-stage classification and two published recursive partitioning analysis (RPA) models, and were validated in the validation cohorts. Results: We chose a cfEBV DNA cutoff of ⩾2,000 copies for optimal risk discretization of OS, disease-free survival (DFS) and distant metastasis-free survival (DMFS) in the training cohort. AHR modeling method divided NPC into six risk groups with significantly disparate survival ( p low); AHR2B, T1N1/T2-3N0 cfEBV DNA ⩾ 2,000 (EBVhigh) and T1-2N2/T2-3N1 EBVlow; AHR3, T1-2N2/T2-3N1 EBVhigh and T3N2/T4N0 EBVlow; AHR4, T3N2/T4 N0-1 EBVhigh and T1-3N3/T4N1-3 EBVlow; AHR5, T1-3N3/T4 N2-3 EBVhigh. Our AHR model outperformed the published RPA models and TNM stage with better hazard consistency (1.35 versus 3.98–12.67), hazard discrimination (5.29 versus 6.69–13.35), explained variation (0.248 versus 0.164–0.225), balance (0.385 versus 0.438–0.749) and C-index (0.707 versus 0.662–0.700). In addition, our AHR model was superior to the TNM stage for risk stratification of OS in two validation cohorts ( p Conclusion: Herein, we developed and validated a risk classification system that combines the AJCC/UICC 8th edition TN-stage classification and cfEBV DNA for non-metastatic NPC. Our new clinicomolecular model provides improved OS prediction over the current staging system.

Introduction/Background* In 2021, a joint ESGO/ESTRO/ESP committee updated their evidence-based guidelines for endometrial cancer, recommending a new risk grouping incorporating both clinicopathologic and molecular parameters. We applied the new risk grouping and compared the results to those of the prior 2016 clinicopathologic system. Methodology We classified molecularly a cohort of 604 women diagnosed with endometrial cancer using immunohistochemistry for TP53 and MMR proteins on a tissue microarray, as well as Sanger sequencing for POLE mutations. These results, combined with clinicopathologic data, allowed the patients to be risk grouped using both the new 2021 molecular/clinicopathologic parameters and the prior 2016 clinicopathologic system. Result(s)* The application of the 2021 molecular markers shows Kaplan-Meier curves with a significant difference between the groups for all survival. Molecular classification under the 2021 guidelines revealed a total of 39 patients (39/594, 7%) with a change in risk group in relation to the 2016 classification system: the shift was alone due to either P53abn or POLEmut molecular marker. In order to ensure correct 2021 molecular risk classification, not all patients with endometrial cancer need a molecular diagnostic: 433 (72.9%) cases would need to be analyzed by TP53 IHC, only 46 (7.7%) by MMR IHC and 286 (48.1%) POLE sequencing reactions. Conclusion* Application of the 2021 molecular risk groups is feasible and shows significant differences in survival. IHC for TP53 and MMR and applying POLE sequencing is only needed in selected cases and leads to shifting risk groups both upward and downward for a sizeable number of patients. It is possible to significantly reduce the number of analyses required to implement the classification if resources are limited.