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Objectives: Few data are available regarding follow up of patients with coronavirus disease 2019 (COVID-19) after their discharge. We aim to describe the long-term outcomes of survivors of hospitalization for COVID-19 followed up first at an outpatient facility and subsequently by telephone., Methods: Observational prospective study conducted at a tertiary general hospital. Clinical and radiological progression was assessed and data were recorded on a standardized reporting form. Patients were divided into three groups according to Pao 2 /Fio 2 at hospitalization: Pao 2 /Fio 2 >300, Pao 2 /Fio 2 300-200 and Pao 2 /Fio 2 <200. A logistic multivariate regression model was performed to identify factors associated with persistence of symptoms., Results: For facility follow up, 302 individuals were enrolled. Median follow up was 45 days after discharge; 78% (228/294) of patients had COVID-19-related symptoms (53% asthenia, 56% respiratory symptoms) and 40% (122/302) had residual pulmonary radiographic lesions. Pao 2 /Fio 2 <200 was an independent predictor of persistent dyspnoea (OR 1.87, 95% CI 1.38-2.52, p < 0.0001). Pao 2 /Fio 2 >300 was associated with resolution of chest radiographic lesions (OR 0.56, 95% CI 0.42-0.74, p < 0.0001). Fifty per cent of patients required specific medical follow up after the first consultation and were transferred to another physician. A total of 294 patients were contacted for telephone follow up after a median follow-up time of 7 months. Fifty per cent of patients (147/294) still presented symptoms and 49% (145/294) had psychological disorders. Asthenia was identified in 27% (78/294) and dyspnoea in 10% (28/294) of patients independently of Pao 2 /Fio 2 ., Conclusions: Patients with COVID-19 require long-term follow up because of the persistence of symptoms; patients with low Pao 2 /Fio 2 during the acute illness require special attention., (Copyright © 2021 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved.)

Background: Pathology laboratories are one of the main information sources for cancer registries and have traditionally been coded with SNOMED; some of them are migrating to SNOMED CT (SCT). Cancer registries encode topography and morphology of neoplasms by the International Classification of Diseases for Oncology (ICD-O). ICD-O updates morphology with WHO Classification of Tumors (Blue-Books). Morphological codes of the ICD-O, Blue-Books and SNOMED (former SNOMEDID) have always coincided. In 2017, SCT removed the SNOMEDID., Objectives: to define neoplastic and topographic subsets in SCT and map them to ICD-O-3.1/Blue-Books; reduce the original number of SCT concepts; correctly identify neoplasms in the laboratories in accordance with international cancer registry rules., Methodology: SCT neoplastic concepts were identified by manual revision and SCT resources ("is a", "Associated morphology" relationships; Simple Map Reference Set). Topographic concepts were extracted from the body structure hierarchy of SCT. Both subsets were mapped to ICD-O-3.1/Blue-Books, afterwards. Updating algorithms were designed to automate and update each subset with every SCT release. The process of neoplasms identification was validated in a sample of 5212 specimens with 7378 records from 8 Catalan hospitals., Results: The number of concepts in neoplastic and topographic subsets (16,448 and 32,278) was reduced after the mapping to ICD-O-3.1/Blue-Books (2115 and 330, respectively). Neoplastic subset classified the specimens correctly in the 98.6% of the specimens., Conclusions: This article presents a flexible tool to exhaustively identify neoplasms in pathology laboratories that code with SCT, following international PBCRs standards and in line with the pathologists, oncologists and epidemiologists' needs., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Background: Fast-track colonoscopy to detect patients with colorectal cancer based on high-risk symptoms is associated with low sensitivity and specificity. The aim was to derive a predictive score of advanced colonic neoplasia in symptomatic patients in fast-track programs., Methods: All patients referred for fast-track colonoscopy were evaluated. Faecal immunological haemoglobin test (3 samples; positive> 4 μg Hb/g), and a survey to register clinical variables of interest were performed. Colorectal cancer and advanced adenoma were considered as advanced colonic neoplasia. A sample size of 600 and 500 individuals were calculated for each phase 1 and phase 2 of the study, respectively (Phase 1, derivation and Phase 2, validation cohort). A Bayesian logistic regression analysis was used to derive a predictive score., Results: 1495 patients were included. Age (OR, 21), maximum faecal-Hb value (OR, 2.3), and number of positive samples (OR, 28) presented the highest ORs predictive of advanced colonic neoplasia. The additional significant predictive variables adjusted for age and faecal-Hb variables in Phase 1 were previous colonoscopy (last 5 years) and smoking (no, ex/active). With these variables a predictive score of advanced colonic neoplasia was derived. Applied to Phase 2, patients with a Score > 20 had an advanced colonic neoplasia probability of 66% (colorectal cancer, 32%), while those with a Score ≤ 10, a probability of 10% (colorectal cancer, 1%). Prioritizing patients with Score > 10, 49.4% of patients would be referred for fast-track colonoscopy, diagnosing 98.3% of colorectal cancers and 77% of advanced adenomas., Conclusions: A scoring system was derived and validated to prioritize fast-track colonoscopies according to risk, which was efficient, simple, and robust.

SNOMED CT terminology is not backed by standard norms of encoding among pathologists. The vast number of concepts ordered in hierarchies and axes, together with the lack of rules of use, complicates the functionality of SNOMED CT for coding, extracting, and analyzing the data. Defining subgroups of SNOMED CT by discipline could increase its functionality. The challenge lies in how to choose the concepts to be included in a subset from a total of over 300,000. Besides, SNOMED CT does not cover daily need, as the clinical reality is dynamic and changing. To adapt SNOMED CT to needs in a flexible way, the possibility exists to create extensions. In Catalonia, most pathology departments have been migrating from SNOMED II to SNOMED CT in a bid to advance the development of the Catalan Pathology Registry, which was created in 2014 as a repository for all the pathological diagnoses. This article explains the methodology used to: (a) identify the clinico-pathological entities and the molecular diagnostic procedures not included in SNOMED CT; (b) define the theoretical subset and microglossary of pathology; (c) describe the SNOMED CT concepts used by pathologists of 1.17 million samples of the Catalan Pathology Registry; and (d) adapt the theoretical subset and the microglossary according to the actual use of SNOMED CT. Of the 328,365 concepts available for coding the diagnoses (326,732 in SNOMED CT and 1576 in Catalan extension), only 2% have been used. Combining two axes of SNOMED CT, body structure and clinical findings, has enabled coding most of the morphologies., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Herein a direct β-sulfido carbonyl compound synthesis by the easy activation of RS-Bpin reagents with α,β-unsaturated ketones and aldehydes is reported. This convenient methodology can be performed at room temperature with no other additives. The key point of this reactivity is based on the Lewis acidic properties of the boryl unit of the RS-Bpin reagent interacting with the C═O oxygen. Consequently, the SR unit becomes more nucleophilic and promotes the 1,4- versus the 1,2-addition, as a function of the involved substrate. The thioborated products can be further transformed into β-sulfido carbonyl compounds by addition of MeOH.

Background: Breast cancer (BC) is the most frequent cancer in women, accounting for 28% of all tumors among women in Catalonia (Spain). Mastectomy has been replaced over time by breast-conserving surgery (BCS) although not as rapidly as might be expected. The aim of this study was to assess the evolution of surgical procedures in incident BC cases in Catalonia between 2005 and 2011, and to analyze variations based on patient and hospital characteristics., Methods: We processed data from the Catalonian Health Service's Acute Hospital Discharge database (HDD) using ASEDAT software (Analysis, Selection and Extraction of Tumor Data) to identify all invasive BC incident cases according to the codes 174.0-174.9 of the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) that were attended for the one-year periods in 2005, 2008 and 2011. Patients were classified according to surgical procedures (BCS vs mastectomy, and immediate vs delayed reconstruction), and results were compared among periods according to age, stage, comorbidity and hospital level., Results: BC surgical procedures were performed in more than 80% of patients. Surgical cases showed a significant increasing trend in the proportion of women aged 50-69 years, more advanced disease stages, higher comorbidity and they were attended in hospitals of less complexity level throughout the study period. Similar pattern was found for patients treated with BCS, which increased significantly from 67.9% in 2005 to 74.0% in 2011.Simple lymph node removal increased significantly (from 48.8% to 71.4% and from 63.6% to 67.8% for 2005 and 2011 in conservative and radical surgery, respectively). A slightly increase in the proportion of mastectomized young women (from 28% in 2005 to 34% in 2011) was detected, due to multiple factors. About 22% of women underwent post-mastectomy breast reconstruction, this being mostly immediate., Conclusions: The use of HDD linked to the ASEDAT allowed us to evaluate BC surgical treatment in Catalonia. A consolidating increasing trend of BCS was observed in women aged 50-69 years, which corresponds with the pattern in most European countries. Among the mastectomized patients, immediate breast reconstructions have risen significantly over the period 2005-2011.

The demand for breast cancer care has increased as cancer treatment innovations have proliferated. Adjuvant radiotherapy to the breast is considered to be part of the standard treatment in breast cancer. The role of radiotherapy in terms of reducing loco-regional recurrence and increased survival after conservative surgery, and also after a mastectomy in selected cases, has been previously shown in several randomized trials. Patterns of radiotherapy commonly used for breast cancer comprise a period of approximately five weeks, frequently with the addition of an additional 1-1.5 weeks of a radiation boost to the primary tumour area. In last years, there has been a renewed interest in hypofractionated and accelerated radiotherapy schedules that reduce the overall treatment time to barely three weeks, leading to an improvement in quality of life for patients and also optimizing workload of radiation oncology departments. However, despite the existing evidence supporting the use of hypofractionated treatment regimens, their widespread is still far from complete. Many questions have generated resistance among clinical oncologists for their regular use. The aim of this review is to answer those questions that may arise with the use of moderate hypofractionation in breast cancer., (Copyright © 2014 Elsevier Ltd. All rights reserved.)

Background: The repertoire of statistical methods dealing with the descriptive analysis of the burden of a disease has been expanded and implemented in statistical software packages during the last years. The purpose of this paper is to present a web-based tool, REGSTATTOOLShttp://regstattools.net intended to provide analysis for the burden of cancer, or other group of disease registry data. Three software applications are included in REGSTATTOOLS: SART (analysis of disease's rates and its time trends), RiskDiff (analysis of percent changes in the rates due to demographic factors and risk of developing or dying from a disease) and WAERS (relative survival analysis)., Results: We show a real-data application through the assessment of the burden of tobacco-related cancer incidence in two Spanish regions in the period 1995-2004. Making use of SART we show that lung cancer is the most common cancer among those cancers, with rising trends in incidence among women. We compared 2000-2004 data with that of 1995-1999 to assess percent changes in the number of cases as well as relative survival using RiskDiff and WAERS, respectively. We show that the net change increase in lung cancer cases among women was mainly attributable to an increased risk of developing lung cancer, whereas in men it is attributable to the increase in population size. Among men, lung cancer relative survival was higher in 2000-2004 than in 1995-1999, whereas it was similar among women when these time periods were compared., Conclusions: Unlike other similar applications, REGSTATTOOLS does not require local software installation and it is simple to use, fast and easy to interpret. It is a set of web-based statistical tools intended for automated calculation of population indicators that any professional in health or social sciences may require.