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1.

001-es BibID:BIBFORM111659
035-os BibID:(Scopus)85166916995
Első szerző:Czapári Dóra
Cím:Detailed characteristics of post-discharge mortality in acute pancreatitis / Dóra Czapári, Alex Váradi, Nelli Farkas, Gergely Nyári, Katalin Márta, Szilárd Váncsa, Rita Nagy, Brigitta Teutsch, Stefania Bunduc, Bálint Erőss, László Czakó, Áron Vincze, Ferenc Izbéki, Mária Papp, Béla Merkely, Andrea Szentesi, Peter Hegyi, Hungarian Pancreatic Study Group
Dátum:2023
ISSN:0016-5085
Megjegyzések:Background and aims The in-hospital survival of patients suffering from acute pancreatitis (AP) is 95?98%. However, there is growing evidence that patients discharged after AP may be at risk of serious morbidity and mortality. Here, we aimed to investigate the risk, causes, and predictors of the most severe consequence of the post-AP period: mortality. Methods 2,613, well-characterized patients from twenty-five centers were collected and followed by the Hungarian Pancreatic Study Group between 2012 and 2021. A general and a hospital-based population was used as the control group. Results After an AP episode patients have an approximately three-fold higher incidence rate of mortality than the general population (0.0404 vs. 0.0130 person-years). First-year mortality after discharge was almost double than in-hospital mortality (5.5% vs. 3.5%), with 3.0% occurring in the first 90-day period. Age, comorbidities, and severity were the most significant independent risk factors for death following AP. Furthermore, multivariate analysis identified creatinine, glucose, and pleural fluid on admission as independent risk factors associated with post-discharge mortality. In the first 90-day period, cardiac failure and AP-related sepsis were among the main causes of death following discharge, while cancer-related cachexia and non-AP-related infection were the key causes in the later phase. Conclusion Almost as many patients in our cohort die in the first 90-day period after discharge asduring their hospital stay. Evaluation of cardiovascular status, follow-up of local complications, and cachexia-preventing oncological care should be an essential part of post-AP patient care. Future study protocols in AP must include at least a 90-day follow-up period after discharge.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Gastroenterology. - 165 : 3 (2023), p. 682-695. -
További szerzők:Váradi Alex (1991-) (biológus) Farkas Nelli Nyári Gergely Róbert Márta Katalin Váncsa Szilárd Nagy Rita Teutsch Brigitta Bunduc, Stefania Erőss Bálint Czakó László Vincze Áron Izbéki Ferenc Papp Mária (1975-) (belgyógyász, gasztroenterológus) Merkely Béla (1965-) (orvos) Szentesi Andrea Hegyi Péter Jr. (belgyógyász) Vitális Zsuzsanna (1963-) (belgyógyász, gasztroenterológus) Hungarian Pancreatic Study Group
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2.

001-es BibID:BIBFORM088207
Első szerző:Demcsák Alexandra
Cím:Acid suppression therapy, gastrointestinal bleeding and infection in acute pancreatitis - An international cohort study / Alexandra Demcsak, Alexandra Soos, Lilla Kincses, Ines Capunge, Georgi Minkov, Mila Kovacheva-Slavova, Radislav Nakov, Dong Wu, Wei Huang, Qing Xia, Lihui Deng, Marcus Hollenbach, Alexander Schneider, Michael Hirth, Orestis Ioannidis, Aron Vincze, Judit Bajor, Patrícia Sarlos, Laszló Czakó, Dora Illés, Ferenc Izbeki, Laszló Gajdán, Maria Papp, Jozsef Hamvas, Marta Varga, Peter Kanizsai, Ernő Bóna, Alexandra Miko, Szilard Váncsa, Márk Félix Juhász, Klementina Ocskay, Erika Darvasi, Emőke Miklós, Balint Erőss, Andrea Szentesi, Andrea Parniczky, Riccardo Casadei, Claudio Ricci, Carlo Ingaldi, Laura Mastrangelo, Elio Jovine, Vincenzo Cennamo, Marco V. Marino, Giedrius Barauskas, Povilas Ignatavicius, Mario Pelaez-Luna, Andrea Soriano Rios, Svetlana Turcan, Eugen Tcaciuc, Ewa Małecka-Panas, Hubert Zatorski, Vitor Nunes, Antonio Gomes, Tiago Cúrdia Gonçalves, Marta Freitas, Júlio Constantino, Milene Sa, Jorge Pereira, Bogdan Mateescu, Gabriel Constantinescu, Vasile Sandru, Ionut Negoi, Cezar Ciubotaru, Valentina Negoita, Stefania Bunduc, Cristian Gheorghe, Sorin Barbu, Alina Tantau, Marcel Tantau, Eugen Dumitru, Andra Iulia Suceveanu, Cristina Tocia, Adriana Gherbon, Andrey Litvin, Natalia Shirinskaya, Yliya Rabotyagova, Mihailo Bezmarevic, Péter Jenő Hegyi, Jimin Han, Juan Armando Rodriguez-Oballe, Isabel Miguel Salas, Eva Pijoan Comas, Daniel de la Iglesia Garcia, Andrea Jardi Cuadrado, Adriano Quiroga Castineira, Yu-Ting Chang, Ming-Chu Chang, Ali Kchaou, Ahmed Tlili, Sabite Kacar, Volkan Gokbulut, Deniz Duman, Haluk Tarik Kani, Engin Altintas, Serge Chooklin, Serhii Chuklin, Amir Gougol, George Papachristou, Peter Hegyi Jr.
Dátum:2020
ISSN:1424-3903
Megjegyzések:Background:Acid suppressing drugs (ASD) are generally used in acute pancreatitis (AP); however, largecohorts are not available to understand their efficiency and safety. Therefore, our aims were to evaluatethe association between the administration of ASDs, the outcome of AP, the frequency of gastrointestinal(GI) bleeding and GI infection in patients with AP.Methods:We initiated an international survey and performed retrospective data analysis on AP patientshospitalized between January 2013 and December 2018.Results:Data of 17,422 adult patients with AP were collected from 59 centers of 23 countries. We foundthat 23.3% of patients received ASDs before and 86.6% during the course of AP. ASDs were prescribed to57.6% of patients at discharge. ASD administration was associated with more severe AP and highermortality. GI bleeding was reported in 4.7% of patients, and it was associated with pancreatitis severity,mortality and ASD therapy. Stool culture test was performed in 6.3% of the patients with 28.4% positiveresults.Clostridium difficilewas the cause of GI infection in 60.5% of cases. Among the patients with GIinfections, 28.9% received ASDs, whereas 24.1% were without any acid suppression treatment. GI infec-tion was associated with more severe pancreatitis and higher mortality.Conclusions:Although ASD therapy is widely used, it is unlikely to have beneficial effects either on theoutcome of AP or on the prevention of GI bleeding during AP. Therefore, ASD therapy should be sub-stantially decreased in the therapeutic management of AP.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Acid suppressing drug
Gastrointestinal bleeding
Gastrointestinal infection
Acute pancreatitis
Proton pump inhibitor
Megjelenés:Pancreatology. - 20 : 7 (2020), p. 1323-1331. -
További szerzők:Soós Alexandra Kincses Lilla Capunge, Ines Minkov, Georgi Kovacheva-Slavova, Mila Nakov, Radislav Wu, Dong Huang, Wei Xia, Qing Deng, Lihui Hollenbach, Marcus Schneider, Alexander Hirth, Michael Ioannidis, Orestis Vincze Áron Bajor Judit Sarlós Patrícia Czakó László Illés Dóra Izbéki Ferenc Gajdán László Papp Mária (1975-) (belgyógyász, gasztroenterológus) Hamvas József Varga Márta Kanizsai Péter Bóna Ernő Mikó Alexandra Váncsa Szilárd Juhász Márk Félix Ocskay Klementina Darvasi Erika Miklós Emőke Erőss Bálint Szentesi Andrea Párniczky Andrea (gyermekgyógyász) Casadei, Riccardo Ricci, Claudio Ingaldi, Carlo Mastrangelo, Laura Jovine, Elio Cennamo, Vincenzo Marino, Marco Vito Barauskas, Giedrius Ignatavicius, Povilas Pelaez-Luna, Mario Rios, Andrea Soriano Turcan, Svetlana Tcaciuc, Eugen Małecka-Panas, Ewa Zatorski, Hubert Nunes, Vitor Gomes, António Pedro Gonçalves, Tiago Cúrdia Freitas, Marta Constantino, Júlio Sá, Milene Pereira, Jorge Mateescu, Bogdan Constantinescu, Gabriel Sandru, Vasile Negoi, Ionut Ciubotaru, Cezar Negoita, Valentina Bunduc, Stefania Gheorghe, Cristian Barbu, Sorin Tantau, Alina Tantau, Marcel Dumitru, Eugen Suceveanu, Andra Iulia Tocia, Cristina Gherbon, Adriana Litvin, A. Andrey Shirinskaya, Natalia V. Rabotyagova, Yliya Bezmarevic, Mihailo Hegyi Péter Jenő (belgyógyász) Han, Jimin Rodriguez-Oballe, Juan Armando Salas, Isabel Miguel Comas, Eva Pijoan Garcia, Daniel de la Iglesia Cuadrado, Andrea Jardi Castiñeira, Adriano Quiroga Chang, Yu-Ting Chang, Ming-Chu Kchaou, Ali Tlili, Ahmed Kacar, Sabite Gökbulut, Volkan Duman, Deniz Kani, Haluk Tarik Altintas, Engin Chooklin, Serge Chuklin, Serhii Gougol, Amir Papachristou, Georgios I. Hegyi Péter Jr. (belgyógyász)
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3.

001-es BibID:BIBFORM101539
035-os BibID:(Cikkazonosító)7827 (WOS)000795163100024 (Scopus)85130054194 (PMID)35552440
Első szerző:Kiss Szabolcs
Cím:Early prediction of acute necrotizing pancreatitis by artificial intelligence : a prospective cohort-analysis of 2387 cases / Szabolcs Kiss, József Pintér, Roland Molontay, Marcell Nagy, Nelli Farkas, Zoltán Sipos, Péter Fehérvári, László Pecze, Mária Földi, Áron Vincze, Tamás Takács, László Czakó, Ferenc Izbéki, Adrienn Halász, Eszter Boros, József Hamvas, Márta Varga, Artautas Mickevicius, Nándor Faluhelyi, Orsolya Farkas, Szilárd Váncsa, Rita Nagy, Stefania Bunduc, Péter Jenő Hegyi, Katalin Márta, Katalin Borka, Attila Doros, Nóra Hosszúfalusi, László Zubek, Bálint Erőss, Zsolt Molnár, Andrea Párniczky, Péter Hegyi, Andrea Szentesi, Hungarian Pancreatic Study Group
Dátum:2022
ISSN:2045-2322
Megjegyzések:Pancreatic necrosis is a consistent prognostic factor in acute pancreatitis (AP). However, the clinical scores currently in use are either too complicated or require data that are unavailable on admission or lack sufficient predictive value. We therefore aimed to develop a tool to aid in necrosis prediction. The XGBoost machine learning algorithm processed data from 2,387 patients with AP. The confidence of the model was estimated by a bootstrapping method and interpreted via the 10th and the 90th percentiles of the prediction scores. Shapley Additive exPlanations (SHAP) values were calculated to quantify the contribution of each variable provided. Finally, the model was implemented as an online application using the Streamlit Python-based framework. The XGBoost classifier provided an AUC value of 0.757. Glucose, C-reactive protein, alkaline phosphatase, gender and total white blood cell count have the most impact on prediction based on the SHAP values. The relationship between the size of the training dataset and model performance shows that prediction performance can be improved. This study combines necrosis prediction and artificial intelligence. The predictive potential of this model is comparable to the current clinical scoring systems and has several advantages over them.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Scientific Reports. - 12 : 1 (2022), p. 1-1. -
További szerzők:Pintér József (1930-) (urológus) Molontay Roland Nagy Marcell Farkas Nelli Sipos Zoltán (1988-) (vegyész, angol-magyar szakfordító) Fehérvári Péter Pecze László Földi Mária Vincze Áron Takács Tamás (Szeged) Czakó László Izbéki Ferenc Halász Adrienn Boros Eszter Hamvas József Varga Márta Mickevicius, Artautas Faluhelyi Nándor Farkas Orsolya Váncsa Szilárd Nagy Rita Bunduc, Stefania Hegyi Péter Jenő (belgyógyász) Márta Katalin Borka Katalin Doros Attila Hosszúfalusi Nóra Zubek László (1970-) (aneszteziológus és intenzív terápiás, kardiológus, oxyológus) Erőss Bálint Molnár Zsolt (Pécs, aneszteziológus) Párniczky Andrea (gyermekgyógyász) Hegyi Péter (pszichológus) Szentesi Andrea Papp Mária (1975-) (belgyógyász, gasztroenterológus) Vitális Zsuzsanna (1963-) (belgyógyász, gasztroenterológus) Hungarian Pancreatic Study Group
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4.

001-es BibID:BIBFORM101294
035-os BibID:(cikkazonosító)e842 (wos)000804849400001
Első szerző:Kui Balázs
Cím:EASY-APP : an artificial intelligence model and application for early and easy prediction of severity in acute pancreatitis / Kui Balázs, Pintér József, Molontay Roland, Nagy Marcell, Farkas Nelli, Gede Noémi, Vincze Áron, Bajor Judit, Gódi Szilárd, Czimmer József, Szabó Imre, Illés Anita, Sarlós Patrícia, Hágendorn Roland, Pár Gabriella, Papp Mária, Vitális Zsuzsanna, Kovács György, Fehér Eszter, Földi Ildikó, Izbéki Ferenc, Gajdán László, Fejes Roland, Németh Balázs Csaba, Török Imola, Farkas Hunor, Artautas Mickevicius, Ville Sallinen, Shamil Galeev, Elena Ramirez Maldonado, Párniczky Andrea, Erőss Bálint, Hegyi Péter Jenő, Márta Katalin, Váncsa Szilárd, Sutton Robert, Enrique de-Madaria, Elizabeth Pando, Piero Alberti, Maria José Gómez-Jurado, Alina Tantau, Szentesi Andrea, Hegyi Péter, Hungarian Pancreatic Study Group
Dátum:2022
ISSN:2001-1326
Megjegyzések:Background: Acute pancreatitis (AP) is a potentially severe or even fatal inflammation of the pancreas. Early identification of patients, who are at high risk for developing a severe course of the disease is crucial for preventing organ failure and death. Most of the former predictive scores require many parameters or at least 24 hours to predict the severity, so the early therapeutic window is missing. Methods: The early achievable severity index (EASY) is a registered multicentre, multinational, prospective, observational study (ISRCTN10525246). Clinical parameters were collected from 15 countries and 28 medical centres via eCRF. The predictions were made using machine learning models including Decision Tree, Random Forest, Logistic Regression, SVM, CatBoost, and XGBoost. For the modeling, we used the scikit-learn, xgboost, and catboost Python packages. We have evaluated our models using 4-fold cross-validation and the receiver operating characteristic (ROC) curve, the area under the ROC curve (AUC), and accuracy metrics have been calculated on the union of the test sets of the cross-validation. The most important factors and their contribution to the prediction were identified using a modern tool of explainable artificial intelligence, called SHapley Additive exPlanations (SHAP). Using the XGBoost machine learning algorithm for prediction, the SHAP values for the explanation, and the bootstrapping method for the estimation of confidence we have developed a web application in the Streamlit Python-based framework. Results: The prediction model is based on the international cohort of 1184 patients and a validation cohort of 3543 patients. The best performing model has been an XGBoost classifier with an average AUC score of 0.81 and accuracy of 89.1% and the model is improving with experience. The six most influential features are the respiratory rate, body temperature, abdominal muscular reflex, gender, age, and glucose level. Finally, a free and easy-to-use web application was developed (http://easy-app.org/). Conclusions: The EASY prediction score is a practical tool for identifying patients at high risk for severe acute pancreatitis within hours of hospital admission. The easy-to-use web application is available for clinicians and contributes to the improvement of the model.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
severity prediction
acute pancreatitis
artificial intelligence
Megjelenés:Clinical and Translational Medicine. - 12 : 6 (2022), p. 1-13. -
További szerzők:Pintér József (1930-) (urológus) Molontay Roland Nagy Marcell Farkas Nelli Gede Noémi Vincze Áron Bajor Judit Gódi Szilárd Czimmer József Szabó Imre Illés Anita Sarlós Patrícia Hágendorn Roland Pár Gabriella Papp Mária (1975-) (belgyógyász, gasztroenterológus) Vitális Zsuzsanna (1963-) (belgyógyász, gasztroenterológus) Kovács György (1982-) (belgyógyász, gasztroenterológus) Fehér Eszter Földi Ildikó (1981-) (orvos) Izbéki Ferenc Gajdán László Fejes Roland Németh Balázs Csaba Török Imola Farkas Hunor Mickevicius, Artautas Sallinen, Ville Galeev, Shamil Ramírez-Maldonado, Elena Párniczky Andrea (gyermekgyógyász) Erőss Bálint Hegyi Péter Jenő (belgyógyász) Márta Katalin Váncsa Szilárd Sutton, Robert de-Madaria, Enrique Pando, Elizabeth Alberti, Piero Gómez-Jurado, Maria José Tantau, Alina Szentesi Andrea Hegyi Péter (pszichológus) Hungarian Pancreatic Study Group
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5.

001-es BibID:BIBFORM095975
Első szerző:Nagy Anikó
Cím:Glucose levels show independent and dose-dependent association with worsening acute pancreatitis outcomes: Post-hoc analysis of a prospective, international cohort of 2250 acute pancreatitis cases / Aniko Nagy, Mark Félix Juhász, Anikó Görbe, Alex Váradi, Ferenc Izbéki, Áron Vincze, Patrícia Sarlós, József Czimmer, Zoltán Szepes, Tamás Takács, Mária Papp, Eszter Fehér, József Hamvas, Klaudia Kárász, Imola Török, Davor Stimac, Goran Poropat, Ali Tüzün Ince, Bálint Erőss, Katalin Márta, Dániel Pécsi, Dóra Illés, Szilárd Váncsa, Mária Földi, Nándor Faluhelyi, Orsolya Farkas, Tamás Nagy, Péter Kanizsai, Zsolt Márton, Andrea Szentesi, Péter Hegyi, Andrea Párniczky
Dátum:2021
ISSN:1424-3903
Megjegyzések:Background: Metabolic risk factors, such as obesity, hypertension, and hyperlipidemia are independent risk factors for the development of various complications in acute pancreatitis (AP). Hypertriglyceridemia dose-dependently elicits pancreatotoxicity and worsens the outcomes of AP. The role of hyperglycemia, as a toxic metabolic factor in the clinical course of AP, has not been examined yet. Methods: We analyzed a prospective, international cohort of 2250 AP patients, examining associations between (1) glycosylated hemoglobin (HbA1c), (2) on-admission glucose, (3) peak in-hospital glucose and clinically important outcomes (mortality, severity, complications, length of hospitalization (LOH), maximal C-reactive protein (CRP)). We conducted a binary logistic regression accounting for age, gender, etiology, diabetes, and our examined variables. Receiver Operating Characteristic Curve (ROC) was applied to detect the diagnostic accuracy of the three variables. Results: Both on-admission and peak serum glucose are independently associated with AP severity and mortality, accounting for age, gender, known diabetes and AP etiology. They show a dose-dependen association with severity (p < 0.001 in both), mortality (p < 0.001), LOH (p < 0.001), maximal CRP (p < 0.001), systemic (p < 0.001) and local complications (p < 0.001). Patients with peak glucose >7 mmol/l had a 15 times higher odds for severe AP and a five times higher odds for mortality. We found a trend of increasing HbA1c with increasing LOH (p < 0.001), severity and local complications. Conclusions: On-admission and peak in-hospital glucose are independently and dose-dependently associated with increasing AP severity and mortality. In-hospital laboratory control of glucose and adequate treatment of hyperglycemia are crucial in the management of AP. ? 2021 Published by Elsevier B.V. on behalf of IAP and EPC.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Pancreatology. - 21 : 7 (2021), p. 1237-1246. -
További szerzők:Juhász Márk Félix Görbe Anikó Váradi Alex (1991-) (biológus) Izbéki Ferenc Vincze Áron Sarlós Patrícia Czimmer József Szepes Zoltán Takács Tamás (Szeged) Papp Mária (1975-) (belgyógyász, gasztroenterológus) Fehér Eszter Hamvas József Kárász Klaudia Török Imola Štimac, Davor Poropat, Goran Ince, Ali Tüzün Erőss Bálint Márta Katalin Pécsi Dániel Illés Dóra Váncsa Szilárd Földi Mária Faluhelyi Nándor Farkas Orsolya Nagy Tamás Kanizsai Péter Márton Zsolt Szentesi Andrea Hegyi Péter Jenő (belgyógyász) Párniczky Andrea (gyermekgyógyász)
Pályázati támogatás:EFOP-3.6.2-16-2017-00006
EFOP
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6.

001-es BibID:BIBFORM094178
035-os BibID:(WOS)000727779500019 (Scopus)85106978919
Első szerző:Szakó Lajos
Cím:Early occurrence of pseudocysts in acute pancreatitis - A multicenter international cohort analysis of 2275 cases / Lajos Szakó, Noémi Gede, Alex Váradi, Benedek Tinusz, Nóra Vörhendi, Dóra Mosztbacher, Áron Vincze, Tamás Takács, László Czakó, Ferenc Izbéki, László Gajdán, Veronika Dunás-Varga, József Hamvas, Mária Papp, Krisztina Eszter Fehér, Márta Varga, Artautas Mickevicius, Imola Török, Klementina Ocskay, Márk Félix Juhász, Szilárd Váncsa, Nándor Faluhelyi, Orsolya Farkas, Attila Miseta, András Vereczkei, Alexandra Mikó, Péter Jenő Hegyi, Andrea Szentesi, Andrea Párniczky, Bálint Erőss, Péter Hegyi
Dátum:2021
ISSN:1424-3903
Megjegyzések:BACKGROUND Pseudocysts being the most frequent local complications of acute pancreatitis (AP) have substantial effect on the disease course, hospitalization and quality of life of the patient. Our study aimed to understand the effects of pre existing (OLD-P) and newly developed (NEW-P) pseudocysts on AP. METHODS Data were extracted from the Acute Pancreatitis Registry organized by the Hungarian Pancreatic Study Group (HPSG). 2275 of 2461 patients had uploaded information concerning pancreatic morphology assessed by imaging technique. Patients were divided into "no pseudocyst" (NO-P) group, "old pseudocyst" (OLD-P) group, or "newly developed pseudocyst" (NEW-P) groups. RESULTS The median time of new pseudocyst development was nine days from hospital admission and eleven days from the beginning of the abdominal pain. More NEW-P cases were severe (15.9% vs 4.7% in the NO-P group p<0.001), with longer length of hospitalization (LoH) (median: 14 days versus 8 days, p<0.001), and were associated with several changed laboratory parameters. OLD-P was associated with male gender (72.2% vs. 56.1%, p=0.0014), alcoholic etiology (35.2% vs. 19.8% in the NO-P group), longer hospitalization (median: 10 days, p<0.001), a previous episode of AP (p<0.001), pre-existing diagnosis of chronic pancreatitis (CP) (p<0.001), current smoking (p<0.001), and increased alcohol consumption (unit/week) (p=0.014). CONCLUSION Most of the new pseudocysts develop within two weeks. Newly developing pseudocysts are associated with a more severe disease course and increased length of hospitalization. Pre-existing pseudocysts are associated with higher alcohol consumption and smoking. Because CP is more frequently associated with a pre-existing pseudocyst, these patients need closer attention after AP.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Pancreatology. - 21 : 6 (2021), p. 1161-1172. -
További szerzők:Gede Noémi Váradi Alex (1991-) (biológus) Tinusz Benedek Vörhendi Nóra Mosztbacher Dóra Vincze Áron Takács Tamás (Szeged) Czakó László Izbéki Ferenc Gajdán László Dunás-Varga Veronika Hamvas József Papp Mária (1975-) (belgyógyász, gasztroenterológus) Fehér Krisztina Eszter Varga Márta Mickevicius, Artautas Török Imola Ocskay Klementina Juhász Márk Félix Váncsa Szilárd Faluhelyi Nándor Farkas Orsolya Miseta Attila Vereczkei András Mikó Alexandra Hegyi Péter Jr. (belgyógyász) Szentesi Andrea Párniczky Andrea (gyermekgyógyász) Erőss Bálint Hegyi Péter Jenő (belgyógyász)
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7.

001-es BibID:BIBFORM113553
035-os BibID:(scopus)85153309480 (wos)000973548200001
Első szerző:Váncsa Szilárd
Cím:Metabolic-associated fatty liver disease is associated with acute pancreatitis with more severe course : Post hoc analysis of a prospectively collected international registry / Váncsa Szilárd, Sipos Zoltán, Váradi Alex, Nagy Rita, Ocskay Klementina, Juhász Félix Márk, Márta Katalin, Teutsch Brigitta, Mikó Alexandra, Hegyi Péter Jenő, Vincze Áron, Izbéki Ferenc, Czakó László, Papp Mária, Hamvas József, Varga Márta, Török Imola, Mickevicius Artautas, Erőss Bálint, Párniczky Andrea, Szentesi Andrea, Pár Gabriella, Hegyi Péter, Hungarian Pancreatic Study Group
Dátum:2023
ISSN:2050-6406 2050-6414
Megjegyzések:Introduction - Non?alcoholic fatty liver disease (NAFLD) is a proven risk factor for acute pancreatitis (AP). However, NAFLD has recently been redefined as metabolic?associated fatty liver disease (MAFLD). In this post hoc analysis, we quantified the effect of MAFLD on the outcomes of AP. Methods - We identified our patients from the multicentric, prospective International Acute Pancreatitis Registry of the Hungarian Pancreatic Study Group. Next, we compared AP patients with and without MAFLD and the individual components of MAFLD regarding in?hospital mortality and AP severity based on the revised Atlanta classification. Lastly, we calculated odds ratios (ORs) with 95% confidence intervals (CIs) using multivariate logistic regression analysis. Results - MAFLD had a high prevalence in AP, 39% (801/2053). MAFLD increased the odds of moderate?to?severe AP (OR = 1.43, CI: 1.09?1.89). However, the odds of in?hospital mortality (OR = 0.89, CI: 0.42?1.89) and severe AP (OR = 1.70, CI: 0.97?3.01) were not higher in the MAFLD group. Out of the three diagnostic criteria of MAFLD, the highest odds of severe AP was in the group based on metabolic risk abnormalities (OR = 2.68, CI: 1.39?5.09). In addition, the presence of one, two, and three diagnostic criteria dose?dependently increased the odds of moderate?to?severe AP (OR = 1.23, CI: 0.88?1.70, OR = 1.38, CI: 0.93?2.04, and OR = 3.04, CI: 1.63?5.70, respectively) and severe AP (OR = 1.13, CI: 0.54?2.27, OR = 2.08, CI: 0.97?4.35, and OR = 4.76, CI: 1.50?15.4, respectively). Furthermore, in patients with alcohol abuse and aged ?60 years, the effect of MAFLD became insignificant. Conclusions - MAFLD is associated with AP severity, which varies based on the components of its diagnostic criteria. Furthermore, MAFLD shows a dose? dependent effect on the outcomes of AP.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:United European Gastroenterology Journal. - 11 : 4 (2023), p. 371-382. -
További szerzők:Sipos Zoltán (1988-) (vegyész, angol-magyar szakfordító) Váradi Alex (1991-) (biológus) Nagy Rita Ocskay Klementina Juhász Márk Félix Márta Katalin Teutsch Brigitta Mikó Alexandra Hegyi Péter Jenő (belgyógyász) Vincze Áron Izbéki Ferenc Czakó László Papp Mária (1975-) (belgyógyász, gasztroenterológus) Hamvas József Varga Márta Török Imola Mickevicius, Artautas Erőss Bálint Párniczky Andrea (gyermekgyógyász) Szentesi Andrea Pár Gabriella Hegyi Péter (pszichológus) Hungarian Pancreatic Study Group
Pályázati támogatás:ÚNKP?22?3?II
Egyéb
ÚNKP?22?3?I
Egyéb
ÚNKP?22?5
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ÚNKP?22?4?II
Egyéb
FK131864
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