19 research outputs found

    Portrait d’initiatives québécoises de recherche ayant utilisé une méthode dite d’enquête citoyenne

    Get PDF
    Ce rapport de recherche présente, dans un premier temps, un cadre de réflexion propice à la réalisation d’activités de recherche qui reposent sur une mobilisation de connaissances détenues par la population d’un territoire local. Dans un deuxième temps, cinq expériences de collecte de données impliquant une participation citoyenne sont présentées. Deux de ces expériences illustrent des démarches ayant pour objectif de mobiliser des citoyennes. Les trois autres sont des exemples où la collecte d’informations détenues par la population locale est vue comme un plus pour définir des projets qui soient mieux ancrés dans leur communauté

    Frequency, risk factors, and outcomes of hospital readmissions of COVID-19 patients

    Get PDF
    To determine the proportion of patients with COVID-19 who were readmitted to the hospital and the most common causes and the factors associated with readmission. Multicenter nationwide cohort study in Spain. Patients included in the study were admitted to 147 hospitals from March 1 to April 30, 2020. Readmission was defined as a new hospital admission during the 30 days after discharge. Emergency department visits after discharge were not considered readmission. During the study period 8392 patients were admitted to hospitals participating in the SEMI-COVID-19 network. 298 patients (4.2%) out of 7137 patients were readmitted after being discharged. 1541 (17.7%) died during the index admission and 35 died during hospital readmission (11.7%, p = 0.007). The median time from discharge to readmission was 7 days (IQR 3-15 days). The most frequent causes of hospital readmission were worsening of previous pneumonia (54%), bacterial infection (13%), venous thromboembolism (5%), and heart failure (5%). Age [odds ratio (OR): 1.02; 95% confident interval (95% CI): 1.01-1.03], age-adjusted Charlson comorbidity index score (OR: 1.13; 95% CI: 1.06-1.21), chronic obstructive pulmonary disease (OR: 1.84; 95% CI: 1.26-2.69), asthma (OR: 1.52; 95% CI: 1.04-2.22), hemoglobin level at admission (OR: 0.92; 95% CI: 0.86-0.99), ground-glass opacification at admission (OR: 0.86; 95% CI:0.76-0.98) and glucocorticoid treatment (OR: 1.29; 95% CI: 1.00-1.66) were independently associated with hospital readmission. The rate of readmission after hospital discharge for COVID-19 was low. Advanced age and comorbidity were associated with increased risk of readmission

    Impact of Arterial Stiffness on All-Cause Mortality in Patients Hospitalized With COVID-19 in Spain

    Get PDF
    Older age and cardiovascular comorbidities are well-known risk factors for all-cause mortality in patients with coronavirus disease 2019 (COVID-19). Hypertension and age are the 2 principal determinants of arterial stiffness (AS). This study aimed to estimate AS in patients with COVID-19 requiring hospitalization and analyze its association with all-cause in-hospital mortality. This observational, retrospective, multicenter cohort study analyzed 12 170 patients admitted to 150 Spanish centers included in the SEMI-COVID-19 Network. We compared AS, defined as pulse pressure ≥60 mm Hg, and clinical characteristics between survivors and nonsurvivors. Mean age was 67.5 (±16.1) years and 42.5% were women. Overall, 2606 (21.4%) subjects died. Admission systolic blood pressure (BP) <120 and ≥140 mm Hg was a predictor of higher all-cause mortality (23.5% and 22.8%, respectively, P<0.001), compared with systolic BP between 120 and 140 mm Hg (18.6%). The 4379 patients with AS (36.0%) were older and had higher systolic and lower diastolic BP. Multivariate analysis showed that AS and systolic BP <120 mm Hg significantly and independently predicted all-cause in-hospital mortality (adjusted odds ratio [ORadj]: 1.27, P=0.0001; ORadj: 1.48, P=0.0001, respectively) after adjusting for sex (males, ORadj: 1.6, P=0.0001), age tertiles (second and third tertiles, ORadj: 2.0 and 4.7, P=0.0001), Charlson Comorbidity Index (second and third tertiles, ORadj: 4.8 and 8.6, P=0.0001), heart failure, and previous and in-hospital antihypertensive treatment. Our data show that AS and admission systolic BP <120 mm Hg had independent prognostic value for all-cause mortality in patients with COVID-19 requiring hospitalization

    Healthcare workers hospitalized due to COVID-19 have no higher risk of death than general population. Data from the Spanish SEMI-COVID-19 Registry

    Get PDF
    Aim To determine whether healthcare workers (HCW) hospitalized in Spain due to COVID-19 have a worse prognosis than non-healthcare workers (NHCW). Methods Observational cohort study based on the SEMI-COVID-19 Registry, a nationwide registry that collects sociodemographic, clinical, laboratory, and treatment data on patients hospitalised with COVID-19 in Spain. Patients aged 20-65 years were selected. A multivariate logistic regression model was performed to identify factors associated with mortality. Results As of 22 May 2020, 4393 patients were included, of whom 419 (9.5%) were HCW. Median (interquartile range) age of HCW was 52 (15) years and 62.4% were women. Prevalence of comorbidities and severe radiological findings upon admission were less frequent in HCW. There were no difference in need of respiratory support and admission to intensive care unit, but occurrence of sepsis and in-hospital mortality was lower in HCW (1.7% vs. 3.9%; p = 0.024 and 0.7% vs. 4.8%; p<0.001 respectively). Age, male sex and comorbidity, were independently associated with higher in-hospital mortality and healthcare working with lower mortality (OR 0.211, 95%CI 0.067-0.667, p = 0.008). 30-days survival was higher in HCW (0.968 vs. 0.851 p<0.001). Conclusions Hospitalized COVID-19 HCW had fewer comorbidities and a better prognosis than NHCW. Our results suggest that professional exposure to COVID-19 in HCW does not carry more clinical severity nor mortality

    Development and validation of a nomogram to predict kidney survival at baseline in patients with C3 glomerulopathy

    Get PDF
    10 p.-4 fig.-2 tab. 1 graph. abst.Background: C3 glomerulopathy is a rare and heterogeneous complement-driven disease. It is often challenging to accurately predict in clinical practice the individual kidney prognosis at baseline. We herein sought to develop and validate a prognostic nomogram to predict long-term kidney survival.Methods: We conducted a retrospective, multicenter observational cohort study in 35 nephrology departments belonging to the Spanish Group for the Study of Glomerular Diseases. The dataset was randomly divided into a training group (n = 87) and a validation group (n = 28). The least absolute shrinkage and selection operator (LASSO) regression was used to screen the main predictors of kidney outcome and to build the nomogram. The accuracy of the nomogram was assessed by discrimination and risk calibration in the training and validation sets.Results: The study group comprised 115 patients, of whom 46 (40%) reached kidney failure in a median follow-up of 49 months (range 24–112). No significant differences were observed in baseline estimated glomerular filtration rate (eGFR), proteinuria or total chronicity score of kidney biopsies, between patients in the training versus those in the validation set. The selected variables by LASSO were eGFR, proteinuria and total chronicity score. Based on a Cox model, a nomogram was developed for the prediction of kidney survival at 1, 2, 5 and 10 years from diagnosis. The C-index of the nomogram was 0.860 (95% confidence interval 0.834–0.887) and calibration plots showed optimal agreement between predicted and observed outcomes.Conclusions: We constructed and validated a practical nomogram with good discrimination and calibration to predict the risk of kidney failure in C3 glomerulopathy patients at 1, 2, 5 and 10 years.Work on this study was supported by the Instituto de Salud Carlos III / Fondo Europeo de Desarrollo Regional (ISCIII/FEDER; grants PI16/01685 and PI19/1624) and Red de Investigación Renal (RD12/0021/0029; to M.P.) and the Autonomous Region of Madrid (S2017/BMD-3673; to M.P.). S.R.d.C. is supported by the Ministerio de Economia y Competitividad (grant PID2019-104912RB-I00) and the Autonomous Region of Madrid (grant S2017/BMD-3673).Peer reviewe

    Training Institute on Climate and Health: Mercosur Experience

    No full text
    A key component of adapting to climate change and variability is the creation of a new generation of professionals able to understand the role of climate on disease and to quantify its risk in public health. Capacity building in different regions of the globe will help strengthen the decisions made in the health sector and is reflected in the reduction of climate risk. The International Research Institute for Climate and Society (IRI), the InterAmerican Institute for Global Change Research (IAI), the Ministry of Public Health of Uruguay, the Intergovernmental Commission for Environmental and Occupational Health of (CISAT), and the Pan American Health Organization (PAHO) joined forces to organize the first regional Training Institute on Climate and Health based on the curriculum on climate information for public health developed and implemented worldwide by the IRI. Participants from member countries of Mercosur region were trained for 2 weeks and regional working teams made up of climate and health professionals were formed and presented research projects to address climate sensitive issues on health in response to the objectives of the Mercosur Action Strategy to Protect Human Health effects of Climate Change. Projects were meant to strengthen and build regional networks of cooperation and participants were able to practically apply the knowledge and tools provided by the course to address relevant topics. A lot of knowledge remains to be built in climate and public health and the field efficiency of the new approaches implemented is yet to be assessed. It is critical to continue training professionals and to provide spaces for networking and also to create collaborative programs that allow professionals from different institutions, sectors and disciplines to communicate and share their expertise to tackle climate risk.Fil: Mantilla, Gilma. International Research Institute for Climate and Society; Estados UnidosFil: Ciganda, Carmen. Ministerio de Salud Pública; UruguayFil: Barboza, Graciana. Ministerio de Salud Pública; UruguayFil: Chesini, Francisco. Ministerio de Salud de la Nación; ArgentinaFil: Frasco Zuker, Laura. Universidad Nacional de La Matanza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Fontan, Silvia. Ministerio de Salud de la Nación; ArgentinaFil: González, Carolina. Ministerio de Defensa. Secretaria de Planeamiento. Servicio Meteorológico Nacional; ArgentinaFil: Saravia, Celmira. Universidad de la República; Urugua

    Esofagectomia trans-hiatal no tratamento do megaesôfago chagásico avançado

    Get PDF
    OBJETIVO: Avaliar os resultados da esofagectomia trans-hiatal no tratamento do megaesôfago chagásico avançado. MÉTODO: Foram estudados retrospectivamente 28 pacientes portadores de megaesôfago chagásico avançado (MCA), graus III e IV, segundo a classificação radiológica de Rezende (adotada pela Organização Mundial de Saúde), e que foram submetidos à esofagectomia subtotal trans-hiatal no Serviço de Clínica Cirúrgica do Hospital Universitário Prof. Alberto Antunes (HUPAA) da Universidade Federal de Alagoas, entre 1982 e 2000. Foram analisadas, as seguintes variáveis: A) Queixas clínicas pré-operatórias versus as pós-operatórias (disfagia, regurgitação, pirose, diarréia, dumping, plenitude pós-prandial, pneumonia e o estado ponderal). B) avaliação radiológica pós-operatória da boca anastomótica esofagogástrica cervical e do estômago transposto. C) avaliação endoscópica pós-operatória do coto esofágico e da boca anastomótica. RESULTADOS: O seguimento variou de 4 a 192 meses, média de 58,18 meses. Dezesseis pacientes eram do sexo feminino e 12 masculinos. Idade mínima de 16 e máxima de 67 anos, média de 36,5 anos. Não houve mortalidade nesta série. Houve resolução plena da disfagia na maioria dos pacientes (20/28 - 71,4%), um (3,6%) referiu disfagia leve que não necessitou tratamento e 7/28 (25%) necessitaram de uma ou mais sessões de dilatação. Nenhum necessitou de dilatação permanente. A pirose foi o sintoma mais importante no seguimento tardio (35,7%), seguida da regurgitação (25%), diarréia (14,3%), plenitude pós-prandial (10,7%) e dumping (3,6%). Houve ganho ponderal em 87,5% dos pacientes avaliados. A esofagite no coto esofágico foi o achado endoscópico mais significativo (46,4%). O esôfago de Barrett no coto remanescente foi encontrada em 10,7% dos casos. A maioria dos achados radiológicos foi normal, embora três doentes (10,7%) tenham apresentado estase gástrica. CONCLUSÃO: A esofagectomia trans-hiatal mostrou-se eficaz para o tratamento da disfagia no megaesôfago chagásico avançado, embora com morbidade elevada, porém com mortalidade nula

    WHO Ordinal Scale and Inflammation Risk Categories in COVID-19

    Full text link
    Background: The WHO ordinal severity scale has been used to predict mortality and guide trials in COVID-19. However, it has its limitations. Objective The present study aims to compare three classificatory and predictive models: the WHO ordinal severity scale, the model based on inflammation grades, and the hybrid model. Design Retrospective cohort study with patient data collected and followed up from March 1, 2020, to May 1, 2021, from the nationwide SEMI-COVID-19 Registry. The primary study outcome was in-hospital mortality. As this was a hospital-based study, the patients included corresponded to categories 3 to 7 of the WHO ordinal scale. Categories 6 and 7 were grouped in the same category. Key Results A total of 17,225 patients were included in the study. Patients classified as high risk in each of the WHO categories according to the degree of inflammation were as follows: 63.8% vs. 79.9% vs. 90.2% vs. 95.1% (p<0.001). In-hospital mortality for WHO ordinal scale categories 3 to 6/7 was as follows: 0.8% vs. 24.3% vs. 45.3% vs. 34% (p<0.001). In-hospital mortality for the combined categories of ordinal scale 3a to 5b was as follows: 0.4% vs. 1.1% vs. 11.2% vs. 27.5% vs. 35.5% vs. 41.1% (p<0.001). The predictive regression model for in-hospital mortality with our proposed combined ordinal scale reached an AUC=0.871, superior to the two models separately. Conclusions The present study proposes a new severity grading scale for COVID-19 hospitalized patients. In our opinion, it is the most informative, representative, and predictive scale in COVID-19 patients to date
    corecore