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001-es BibID:BIBFORM116951
035-os BibID:(scopus)85119325898 (wos)000718879000001
Első szerző:Földi Mária
Cím:The characteristics and prognostic role of acute abdominal on-admission pain in acute pancreatitis : A prospective cohort analysis of 1432 cases / Földi Mária, Gede Noémi, Kiss Szabolcs, Vincze Áron, Bajor Judit, Szabó Imre, Szepes Zoltán, Izbéki Ferenc, Gervain Judit, Hamvas József, Vitális Zsuzsanna, Fehér Eszter, Crai Stefan, Sallinen Ville, Ramirez-Maldonado Elena, Meczker Ágnes, Varjú Péter, Poropat Goran, Stimac Davor, Faluhelyi Nándor, Miseta Attila, Nagy Tamás, Márton Zsolt, Vereczkei András, Jenő Hegyi Péter, Párniczky Andrea, Hegyi Péter, Szentesi Andrea, Hungarian Pancreatic Study Group
Dátum:2021
ISSN:1090-3801
Megjegyzések:Introduction Pain is the most common symptom in acute pancreatitis (AP) and is among the diagnostic criteria. Therefore, we aimed to characterize acute abdominal pain in AP. Methods The Hungarian Pancreatic Study Group prospectively collected multicentre clinical data on 1435 adult AP patients between 2012 and 2017. Pain was characterized by its intensity (mild or intense), duration prior to admission (hours), localization (nine regions of the abdomen) and type (sharp, dull or cramping). Results 97.3% of patients (n = 1394) had pain on admission. Of the initial population with acute abdominal pain, 727 patients answered questions about pain intensity, 1148 about pain type, 1134 about pain localization and 1202 about pain duration. Pain was mostly intense (70%, n = 511/727), characterized by cramping (61%, n = 705/1148), mostly starting less than 24 h prior to admission (56.7%, n = 682/1202). Interestingly, 50.9% of the patients (n = 577/1134) had atypical pain, which means pain other than epigastric or belt-like upper abdominal pain. We observed a higher proportion of peripancreatic fluid collection (19.5% vs. 11.0%; p = 0.009) and oedematous pancreas (8.4% vs. 3.1%; p = 0.016) with intense pain. Sharp pain was associated with AP severity (OR = 2.481 95% CI: 1.550?3.969) and increased mortality (OR = 2.263, 95% CI: 1.199?4.059) compared to other types. Longstanding pain (>72 h) on admission was not associated with outcomes. Pain characteristics showed little association with the patient's baseline characteristics. Conclusion A comprehensive patient interview should include questions about pain characteristics, including pain type. Patients with sharp and intense pain might need special monitoring and tailored pain management. Significance Acute abdominal pain is the leading presenting symptom in acute pancreatitis; however, we currently lack specific guidelines for pain assessment and management. In our cohort analysis, intense and sharp pain on admission was associated with higher odds for severe AP and several systemic and local complications. Therefore, a comprehensive patient interview should include questions about pain characteristics and patients with intense and sharp pain might need closer monitoring.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:European Journal Of Pain. - 26 : 3 (2021), p. 610-623. -
További szerzők:Gede Noémi Kiss Szabolcs Vincze Áron Bajor Judit Szabó Imre Szepes Zoltán Izbéki Ferenc Gervain Judit Hamvas József Vitális Zsuzsanna (1963-) (belgyógyász, gasztroenterológus) Fehér Eszter Crai, Stefan Sallinen, Ville Ramírez-Maldonado, Elena Meczker Ágnes Varjú Péter Poropat, Goran Štimac, Davor Faluhelyi Nándor Miseta Attila Nagy Tamás (1977-) (vegyész, orvosi laboratóriumi analitikus) Márton Zsolt Vereczkei András Hegyi Péter Jenő (belgyógyász) Párniczky Andrea (gyermekgyógyász) Hegyi Péter (pszichológus) Szentesi Andrea Hungarian Pancreatic Study Group
Pályázati támogatás:GINOP-2.3.2-15-2016-00048-STAY?ALIVE
GINOP
GINOP-2.3.2-15-2016-00015-I-KOM
GINOP
ÚNKP-20-3
Egyéb
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2.

001-es BibID:BIBFORM090166
Első szerző:Hágendorn Roland
Cím:Disturbance of consciousness deteriorates the severity of acute pancreatitis. An international multicentre cohort analyses of 1220 prospectively collected patients / R. Hagendorn, Á. Vincze, F. Izbeki, L. Gajdan, S. Godi, A. Illes, P. Sarlos, N. Farkas, B. Erős, V. Lillik, D. Illes, P. Varjú, K. Marta, I. Török, M. Papp, Z. Vitalis, B. Bod, J. Hamvas, Z. Szepes, T. Takacs, L. Czakó, A. Szentesi, A. Parniczky, P. Hegyi, A. Miko
Dátum:2020
ISSN:1424-3903
Megjegyzések:Purpose: Disturbance of consciousness (DOC) may develop in acute pancreatitis (AP). In clinical practice, it is known that DOC may worsen the patient's condition, but we have no exact data on how DOC affects the outcome of AP. Materials and methods: From the Hungarian Pancreatic Study Groups' AP registry, 1220 cases contained the exact data on DOC. Patients were separated to Non-DOC and DOC, whereas DOC was further divided into non-alcohol related DOC (Non-ALC DOC) and ALC-DOC groups. Statistical analysis was performed by SPSS 24 Software Package. Results: From the 1220 patients, 47 (3.85%) developed DOC, 23 (48.9%) cases were ALC DOC vs. 24 (51.1%) Non-ALC DOC. The incidence of severe AP was higher in the DOC compared to the Non-DOC group (19.15% vs. 5.29%, p<0.001). The mortality was higher in the DOC vs. Non-DOC group (14.89% vs. 1.71%, p<0.001). Length of hospitalization (LOH) was longer in the DOC vs. non-DOC group (Me:11; IQR:8-17 days vs. Me:9; IQR:6-13 days, p?0.049). Patients with ALC DOC developed more frequently moderately-severe AP vs. Non-ALC DOC (43.48% vs. 12.5%), while the incidence of severe AP was significantly higher in Non-ALC vs. ALC DOC group (33.33% vs. 4.35%) (p<0.001). LOH showed tendency to be longer in Non-ALC DOC compared to ALC DOC respectively (Me:13; IQR:7-20 days vs. Me:9.5; IQR:8-15.5 days, p?0.119). Conclusions: DOC during AP is associated with a higher rate of moderate and severe AP and increases the risk of mortality; therefore, the DOC should be closely monitored and prevented in AP.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idézhető absztrakt
folyóiratcikk
Megjelenés:Pancreatology. - 20 (2020), p. S25. -
További szerzők:Vincze Áron Izbéki Ferenc Gajdán László Gódi Szilárd Illés Árpád (1959-) (belgyógyász, haematológus, onkológus) Sarlós Péter Farkas Nelli Erős Bálint Lillik Veronika Illés Dóra Varjú Péter Márta Katalin Török I. Papp Mária (1975-) (belgyógyász, gasztroenterológus) Vitális Zsuzsanna (1963-) (belgyógyász, gasztroenterológus) Bod Barnabás Hamvas József Szepes Zoltán Takács T. Czakó László Szentesi Andrea Párniczky Andrea (gyermekgyógyász) Hegyi Péter Jenő (belgyógyász) Mikó Alexandra
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3.

001-es BibID:BIBFORM085501
Első szerző:Hágendorn Roland
Cím:Development of disturbance of consciousness is associated with increased severity in acute pancreatitis / Roland Hágendorn, Áron Vincze, Ferenc Izbéki, László Gajdán, Szilárd Gódi, Anita Illés, Patrícia Sarlós, Nelli Farkas, Bálint Erőss, Veronika Lillik, Dóra Illés, Péter Varjú, Katalin Márta, Imola Török, Mária Papp, Zsuzsanna Vitális, Barnabás Bod, József Hamvas, Zoltán Szepes, Tamás Takács, László Czakó, Zsolt Márton, Andrea Szentesi, Andrea Párniczky, Péter Hegyi, Alexandra Mikó
Dátum:2020
ISSN:1424-3903
Megjegyzések:Background Disturbance of consciousness (DOC) may develop in acute pancreatitis (AP). In clinical practice, it is known that DOC may worsen the patient's condition, but we have no exact data on how DOC affects the outcome of AP. Methods From the Hungarian Pancreatic Study Groups' AP registry, 1220 prospectively collected cases were analysed, which contained exact data on DOC, included patients with confusion, delirium, convulsion, and alcohol withdrawal, answering a post hoc defined research question. Patients were separated to Non-DOC and DOC, whereas DOC was further divided into non-alcohol related DOC (Non-ALC DOC) and ALC DOC groups. For statistical analysis, independent sample t-test, Mann-Whitney, Chi-squared, or Fisher exact test were used. Results From the 1220 patients, 47 (3.9%) developed DOC, 23 (48.9%) cases were ALC DOC vs. 24 (51.1%) Non-ALC DOC. Analysis between the DOC and Non-DOC groups showed a higher incidence of severe AP (19.2% vs. 5.3%, p<0.001), higher mortality (14.9% vs. 1.7%, p<0.001), and a longer length of hospitalization (LOH) (Me=11; IQR: 8-17 days vs. Me=9; IQR: 6-13 days, p=0.049) respectively. Patients with ALC DOC developed more frequently moderate AP vs. Non-ALC DOC (43.5% vs. 12.5%), while the incidence of severe AP was higher in Non-ALC vs. ALC DOC group (33.3% vs. 4.4%) (p<0.001). LOH showed a tendency to be longer in Non-ALC DOC compared to ALC DOC, respectively (Me:13; IQR:7-20 days vs. Me:9.5; IQR:8-15.5 days, p=0.119). Conclusion DOC during AP is associated with a higher rate of moderate and severe AP and increases the risk of mortality.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
disturbance of consciousness
acute pancreatitis
alcohol
delirium
mortality
Megjelenés:Pancreatology. - 20 : 5 (2020), p. 806-812. -
További szerzők:Vincze Áron Izbéki Ferenc Gajdán László Gódi Szilárd Illés Anita Sarlós Patrícia Farkas Nelli Erőss Bálint Lillik Veronika Illés Dóra Varjú Péter Márta Katalin Török Imola Papp Mária (1975-) (belgyógyász, gasztroenterológus) Vitális Zsuzsanna (1963-) (belgyógyász, gasztroenterológus) Bod Barnabás Hamvas József Szepes Zoltán Takács Tamás (Szeged) Czakó László Márton Zsolt Szentesi Andrea Párniczky Andrea (gyermekgyógyász) Hegyi Péter Jenő (belgyógyász) Mikó Alexandra
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4.

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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5.

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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6.

001-es BibID:BIBFORM103703
035-os BibID:(cikkazonosító)2131 (Scopus)85130241509 (WoS)000803398400001
Első szerző:Nagy Rita
Cím:In-Hospital Patient Education Markedly Reduces Alcohol Consumption after Alcohol-Induced Acute Pancreatitis / Nagy Rita, Ocskay Klementina, Váradi Alex, Papp Mária, Vitális Zsuzsanna, Izbéki Ferenc, Boros Eszter, Gajdán László, Szentesi Andrea, Erőss Bálint, Hegyi Péter Jenő, Vincze Áron, Bajor Judit, Sarlos Patricia, Mikó Alexandra, Márta Katalin, Pécsi Dániel, Párniczky Andrea, Hegyi Péter
Dátum:2022
ISSN:2072-6643
Megjegyzések:Although excessive alcohol consumption is by far the most frequent cause of recurrent acute pancreatitis (AP) cases, specific therapy is still not well established to prevent recurrence. Generally, psychological therapy (e.g., brief intervention (BI)) is the cornerstone of cessation programs; however, it is not yet widely used in everyday practice. We conducted a post-hoc analysis of a prospectively collected database. Patients suffering from alcohol-induced AP between 2016 and 2021 received 30 min BI by a physician. Patient-reported alcohol consumption, serum gamma-glutamyl-transferase (GGT) level, and mean corpuscular volume (MCV) of red blood cells were collected on admission and at the 1-month follow-up visit to monitor patients' drinking habits. Ninety-nine patients with alcohol-induced AP were enrolled in the study (mean age: 50 ? 11, 89% male). A significant decrease was detected both in mean GGT value (294 ? 251 U/L vs. 103 ? 113 U/L, p < 0.001) and in MCV level (93.7 ? 5.3 U/L vs. 92.1 ? 5.1 U/L, p < 0.001) in patients with elevated on-admission GGT levels. Notably, 79% of the patients (78/99) reported alcohol abstinence at the 1-month control visit. Brief intervention is an effective tool to reduce alcohol consumption and to prevent recurrent AP. Longitudinal randomized clinical studies are needed to identify the adequate structure and frequency of BIs in alcohol-induced AP
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Nutrients. - 14 : 10 (2022), p. 1-9. -
További szerzők:Ocskay Klementina Váradi Alex (1991-) (biológus) Papp Mária (1975-) (belgyógyász, gasztroenterológus) Vitális Zsuzsanna (1963-) (belgyógyász, gasztroenterológus) Izbéki Ferenc Boros Eszter Gajdán László Szentesi Andrea Erőss Bálint Hegyi Péter Jenő (belgyógyász) Vincze Áron Bajor Judit Sarlós Patrícia Mikó Alexandra Márta Katalin Pécsi Dániel Párniczky Andrea (gyermekgyógyász) Hegyi Péter (pszichológus)
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