30 research outputs found

    Effects of immunosuppressive drugs on COVID-19 severity in patients with autoimmune hepatitis

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    Background: We investigated associations between baseline use of immunosuppressive drugs and severity of Coronavirus Disease 2019 (COVID-19) in autoimmune hepatitis (AIH). Patients and methods: Data of AIH patients with laboratory confirmed COVID-19 were retrospectively collected from 15 countries. The outcomes of AIH patients who were on immunosuppression at the time of COVID-19 were compared to patients who were not on AIH medication. The clinical courses of COVID-19 were classified as (i)-no hospitalization, (ii)-hospitalization without oxygen supplementation, (iii)-hospitalization with oxygen supplementation by nasal cannula or mask, (iv)-intensive care unit (ICU) admission with non-invasive mechanical ventilation, (v)-ICU admission with invasive mechanical ventilation or (vi)-death and analysed using ordinal logistic regression. Results: We included 254 AIH patients (79.5%, female) with a median age of 50 (range, 17-85) years. At the onset of COVID-19, 234 patients (92.1%) were on treatment with glucocorticoids (n = 156), thiopurines (n = 151), mycophenolate mofetil (n = 22) or tacrolimus (n = 16), alone or in combinations. Overall, 94 (37%) patients were hospitalized and 18 (7.1%) patients died. Use of systemic glucocorticoids (adjusted odds ratio [aOR] 4.73, 95% CI 1.12-25.89) and thiopurines (aOR 4.78, 95% CI 1.33-23.50) for AIH was associated with worse COVID-19 severity, after adjusting for age-sex, comorbidities and presence of cirrhosis. Baseline treatment with mycophenolate mofetil (aOR 3.56, 95% CI 0.76-20.56) and tacrolimus (aOR 4.09, 95% CI 0.69-27.00) were also associated with more severe COVID-19 courses in a smaller subset of treated patients. Conclusion: Baseline treatment with systemic glucocorticoids or thiopurines prior to the onset of COVID-19 was significantly associated with COVID-19 severity in patients with AIH.Fil: Efe, Cumali. Harran University Hospita; TurquĂ­aFil: Lammert, Craig. University School of Medicine Indianapolis; Estados UnidosFil: TaĆŸĂ§Ä±lar, Koray. Universitat Erlangen-Nuremberg; AlemaniaFil: Dhanasekaran, Renumathy. University of Stanford; Estados UnidosFil: Ebik, Berat. Gazi Yasargil Education And Research Hospital; TurquĂ­aFil: Higuera de la Tijera, Fatima. Hospital General de MĂ©xico; MĂ©xicoFil: CalÄ±ĆŸkan, Ali R.. No especifĂ­ca;Fil: Peralta, Mirta. Gobierno de la Ciudad de Buenos Aires. Hospital de Infecciosas "Dr. Francisco Javier Muñiz"; ArgentinaFil: Gerussi, Alessio. UniversitĂ  degli Studi di Milano; ItaliaFil: Massoumi, Hatef. No especifĂ­ca;Fil: Catana, Andreea M.. Harvard Medical School; Estados UnidosFil: Purnak, Tugrul. University of Texas; Estados UnidosFil: Rigamonti, Cristina. UniversitĂ  del Piemonte Orientale ; ItaliaFil: Aldana, Andres J. G.. Fundacion Santa Fe de Bogota; ColombiaFil: Khakoo, Nidah. Miami University; Estados UnidosFil: Nazal, Leyla. Clinica Las Condes; ChileFil: Frager, Shalom. Montefiore Medical Center; Estados UnidosFil: Demir, Nurhan. Haseki Training And Research Hospital; TurquĂ­aFil: Irak, Kader. Kanuni Sultan Suleyman Training And Research Hospital; TurquĂ­aFil: Melekoğlu Ellik, Zeynep. Ankara University Medical Faculty; TurquĂ­aFil: Kacmaz, HĂŒseyin. Adıyaman University; TurquĂ­aFil: Balaban, Yasemin. Hacettepe University; TurquĂ­aFil: Atay, Kadri. No especifĂ­ca;Fil: Eren, Fatih. No especifĂ­ca;Fil: Alvares da-Silva, Mario R.. Universidade Federal do Rio Grande do Sul; BrasilFil: Cristoferi, Laura. UniversitĂ  degli Studi di Milano; ItaliaFil: Urzua, Álvaro. Universidad de Chile; ChileFil: EƟkazan, Tuğçe. CerrahpaƟa School of Medicine; TurquĂ­aFil: Magro, Bianca. No especifĂ­ca;Fil: Snijders, Romee. No especifĂ­ca;Fil: Barutçu, Sezgin. No especifĂ­ca;Fil: Lytvyak, Ellina. University of Alberta; CanadĂĄFil: Zazueta, Godolfino M.. Instituto Nacional de la NutriciĂłn Salvador Zubiran; MĂ©xicoFil: Demirezer Bolat, Aylin. Ankara City Hospital; TurquĂ­aFil: Aydın, Mesut. Van Yuzuncu Yil University; TurquĂ­aFil: AmorĂłs MartĂ­n, Alexandra NoemĂ­. No especifĂ­ca;Fil: De Martin, Eleonora. No especifĂ­ca;Fil: Ekin, Nazım. No especifĂ­ca;Fil: Yıldırım, SĂŒmeyra. No especifĂ­ca;Fil: Yavuz, Ahmet. No especifĂ­ca;Fil: Bıyık, Murat. Necmettin Erbakan University; TurquĂ­aFil: Narro, Graciela C.. Instituto Nacional de la NutriciĂłn Salvador Zubiran; MĂ©xicoFil: Bıyık, Murat. Uludag University; TurquĂ­aFil: Kıyıcı, Murat. No especifĂ­ca;Fil: Kahramanoğlu Aksoy, Evrim. No especifĂ­ca;Fil: Vincent, Maria. No especifĂ­ca;Fil: Carr, Rotonya M.. University of Pennsylvania; Estados UnidosFil: GĂŒnƟar, Fulya. No especifĂ­ca;Fil: Reyes, Eira C.. Hepatology Unit. Hospital Militar Central de MĂ©xico; MĂ©xicoFil: Harputluoğlu, Murat. InönĂŒ University School of Medicine; TurquĂ­aFil: Aloman, Costica. Rush University Medical Center; Estados UnidosFil: Gatselis, Nikolaos K.. University Hospital Of Larissa; GreciaFil: ÜstĂŒndağ, YĂŒcel. No especifĂ­ca;Fil: Brahm, Javier. Clinica Las Condes; ChileFil: Vargas, Nataly C. E.. Hospital Nacional Almanzor Aguinaga Asenjo; PerĂșFil: GĂŒzelbulut, Fatih. No especifĂ­ca;Fil: Garcia, Sandro R.. Hospital Iv VĂ­ctor Lazarte Echegaray; PerĂșFil: Aguirre, Jonathan. Hospital Angeles del Pedregal; MĂ©xicoFil: Anders, Margarita. Hospital AlemĂĄn; ArgentinaFil: Ratusnu, Natalia. Hospital Regional de Ushuaia; ArgentinaFil: Hatemi, Ibrahim. No especifĂ­ca;Fil: Mendizabal, Manuel. Universidad Austral; ArgentinaFil: Floreani, Annarosa. UniversitĂ  di Padova; ItaliaFil: Fagiuoli, Stefano. No especifĂ­ca;Fil: Silva, Marcelo. Universidad Austral; ArgentinaFil: Idilman, Ramazan. No especifĂ­ca;Fil: Satapathy, Sanjaya K.. No especifĂ­ca;Fil: Silveira, Marina. University of Yale. School of Medicine; Estados UnidosFil: Drenth, Joost P. H.. No especifĂ­ca;Fil: Dalekos, George N.. No especifĂ­ca;Fil: N.Assis, David. University of Yale. School of Medicine; Estados UnidosFil: Björnsson, Einar. No especifĂ­ca;Fil: Boyer, James L.. University of Yale. School of Medicine; Estados UnidosFil: Yoshida, Eric M.. University of British Columbia; CanadĂĄFil: Invernizzi, Pietro. UniversitĂ  degli Studi di Milano; ItaliaFil: Levy, Cynthia. University of Miami; Estados UnidosFil: Montano Loza, Aldo J.. University of Alberta; CanadĂĄFil: Schiano, Thomas D.. No especifĂ­ca;Fil: Ridruejo, Ezequiel. Universidad Austral; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. CEMIC-CONICET. Centro de Educaciones MĂ©dicas e Investigaciones ClĂ­nicas "Norberto Quirno". CEMIC-CONICET; ArgentinaFil: Wahlin, Staffan. No especifĂ­ca

    Risk factors and outcomes associated with recurrent autoimmune hepatitis following liver transplantation

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    Background & Aims: Autoimmune hepatitis can recur after liver transplantation (LT), though the impact of recurrence on patient and graft survival has not been well characterized. We evaluated a large, international, multicenter cohort to identify the probability and risk factors associated with recurrent AIH and the association between recurrent disease and patient and graft survival.Methods: We included 736 patients (77% female, mean age 42 +/- 1 years) with AIH who underwent LT from January 1987 through June 2020, among 33 centers in North America, South America, Europe and Asia. Clinical data before and after LT, biochemical data within the first 12 months after LT, and immunosuppression after LT were analyzed to identify patients at higher risk of AIH recurrence based on histological diagnosis.Results: AIH recurred in 20% of patients after 5 years and 31% after 10 years. Age at LT <= 42 years (hazard ratio [HR] 3.15; 95% CI 1.22-8.16; p = 0.02), use of mycophenolate mofetil post-LT (HR 3.06; 95% CI 1.39-6.73; p = 0.005), donor and recipient sex mismatch (HR 2.57; 95% CI 1.39-4.76; p = 0.003) and high IgG pre-LT (HR 1.04; 95% CI 1.01-1.06; p = 0.004) were associated with higher risk of AIH recurrence after adjusting for other confounders. In multivariate Cox regression, recurrent AIH (as a time-dependent covariate) was significantly associated with graft loss (HR 10.79, 95% CI 5.37-21.66, p <0.001) and death (HR 2.53, 95% CI 1.48-4.33, p = 0.001).Conclusion: Recurrence of AIH following transplant is frequent and is associated with younger age at LT, use of mycophenolate mofetil post-LT, sex mismatch and high IgG pre-LT. We demonstrate an association between disease recurrence and impaired graft and overall survival in patients with AIH, highlighting the importance of ongoing efforts to better characterize, prevent and treat recurrent AIH.Lay summary: Recurrent autoimmune hepatitis following liver transplant is frequent and is associated with some recipient features and the type of immunosuppressive medications use. Recurrent autoimmune hepatitis negatively affects outcomes after liver transplantation. Thus, improved measures are required to prevent and treat this condition. (C) 2022 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.Cellular mechanisms in basic and clinical gastroenterology and hepatolog

    Incubator poster presentations

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    Objective: Antibiotics are a class of medication which can be challenging for medical students to learn, as microbiology and pharmacology must be learned in addition to the diagnostic component of infectious disease content. A learning need was identified by pre-clerkship medical students for supplemental learning material on antibiotics to complement didactic lectures in the pre-clerkship curriculum. Methods: A module covering common antibiotic classes was created to assist pre-clerkship medical student learning. Objectives were developed to guide student learning. They include recalling spectrum of activity, mechanism of action, and adverse reactions of antibiotic classes covered, as well as selecting treatment on a case-by-case basis, based on patientspecific factors. The module was designed to optimize recall of information through the use of mnemonics, questions, cases and a historical description of antibiotic design as it pertains to spectrum of activity for ÎČ-lactam antibiotics. A post-module evaluation was conducted to determine the opinion of twentyfive pre-clerkship medical students. Eight questions used a 1–5 Likert scale and two questions assessed student opinion on module strengths and areas for improvement. Results: Responses to quantitative questions ranged from 4.3 to 4.6, with “amount of detail” scoring lowest and “recommending module to others” scoring highest. Areas for improvement included adding more cases to provide a broader range of difficulty and including more information on certain classes. Strengths included mnemonics, simplified spectrum of activity, and review questions and cases. Conclusion: The module received positive feedback and evaluation results were used to make changes to improve the module for future students. Additions include more clinical cases, more information on certain antibiotics, and appendices to summarize module topics. The module is available to undergraduate medical students online to be used as a supplemental learning tool

    Impact of a 3-year multi-centre community-based intervention on risk factors for chronic disease and obesity among free-living adults: the Healthy Alberta Communities study

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    Abstract Background Healthy Alberta Communities (HAC) was a 3-year community-based intervention to reduce lifestyle-related risk factors for chronic disease and obesity at a population-level. The current paper examines changes in blood pressure (BP) and anthropometric indicators within HAC communities compared to secular trends. Methods Between 2006 and 2009, this community-academic partnership sought to create environments supportive of healthier dietary and physical activity behaviours within four diverse communities in Alberta, Canada. Height, weight, waist and hip circumference and BP were measured among 1554 and 1808 community residents at baseline (2006) and follow-up (2009), respectively. A comparison sample was drawn from a representative national survey. Samples were stratified by age and change between pre- and post-intervention was assessed using t-tests. Changes in parameters over time between groups were compared using meta-analysis. The net difference in change in outcomes (change in intervention communities minus change in comparison group) represented the effect of the intervention. Results Adjusted systolic (SBP) and diastolic (DBP) BP declined within most age groups in HAC communities from pre- to post-intervention. The net decline in SBP was 1 mmHg in 20–39 year olds (p = 0.006) and 2 mmHg in 40–59 year olds (p = 0.001), while the net decline in DBP was 3 mmHg in 20–39 year olds (p < 0.001), 2 mmHg in 40–59 year olds (p < 0.001) and 3 mmHg in 60–79 year olds (p < 0.001). The net increase in the proportion of individuals with normal BP was 5.9 % (p < 0.001), while the net decline in the proportion of individuals with stage 1 hypertension was 4.5 % (p < 0.001). BMI and body weight were unchanged. There was a significant net increase in waist and hip circumference among 20–39 year olds within intervention communities. Conclusions Findings suggest HAC succeeded in shifting the population distribution of BP in a leftward direction. By contrast, anthropometric parameters remained unchanged or worsened within intervention communities. Therefore, while improvements in some clinical risk factors can be achieved through relatively diffuse and shorter-term community-level environmental changes, improvements in others may require interventions of greater intensity and duration. Evaluating the success of community-based interventions based on their efficacy in changing individual-level clinical indicators may, however, underestimate their potential
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