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1.

001-es BibID:BIBFORM082673
035-os BibID:(cikkazonosító)1092 (WoS)000483784200001 (Scopus)85072948362
Első szerző:Farkas Nelli
Cím:A Multicenter, International Cohort Analysis of 1435 Cases to Support Clinical Trial Design in Acute Pancreatitis / Nelli Farkas, Lilla Hanák, Alexandra Mikó, Judit Bajor, Patrícia Sarlós, József Czimmer, Áron Vincze, Szilárd Gódi, Dániel Pécsi, Péter Varjú, Katalin Márta, Péter Jenő Hegyi, Bálint Erőss, Zsolt Szakács, Tamás Takács, László Czakó, Balázs Németh, Dóra Illés, Balázs Kui, Erika Darvasi, Ferenc Izbéki, Adrienn Halász, Veronika Dunás-Varga, László Gajdán, József Hamvas, Mária Papp, Ildikó Földi, Krisztina Eszter Fehér, Márta Varga, Klára Csefkó, Imola Török, Farkas Hunor-Pál, Artautas Mickevicius, Elena Ramirez Maldonado, Ville Sallinen, János Novák, Ali Tüzün Ince, Shamil Galeev, Barnabás Bod, János Sümegi, Petr Pencik, Attila Szepes, Andrea Szentesi, Andrea Párniczky, Péter Jr. Hegyi, Hungarian Pancreatic Study Group
Dátum:2019
ISSN:1664-042X
Megjegyzések:Background: C-reactive protein level (CRP) and white blood cell count (WBC) have been variably used in clinical trials on acute pancreatitis (AP). We assessed their potential role. Methods: First, we investigated studies which have used CRP or WBC, to describe their current role in trials on AP. Second, we extracted the data of 1435 episodes of AP from our registry. CRP and WBC on admission, within 24 h from the onset of pain and their highest values were analyzed. Descriptive statistical tools as Kruskal?Wallis, Mann? Whitney U, Levene's F tests, Receiver Operating Characteristic (ROC) curve analysis and AUC (Area Under the Curve) with 95% confidence interval (CI) were performed. Results: Our literature review showed extreme variability of CRP used as an inclusion criterion or as a primary outcome or both in past and current trials on AP. In our cohort, CRP levels on admission poorly predicted mortality and severe cases of AP; AUC: 0.669 (CI:0.569?0.770); AUC:0.681 (CI: 0.601?0.761), respectively. CRP levels measured within 24 h from the onset of pain failed to predict mortality or severity; AUC: 0.741 (CI:0.627?0.854); AUC:0.690 (CI:0.586?0.793), respectively. The highest CRP during hospitalization had equally poor predictive accuracy for mortality and severity AUC:0.656 (CI:0.544?0.768); AUC:0.705 (CI:0.640?0.769) respectively. CRP within 24 h from the onset of pain used as an inclusion criterion markedly increased the combined event rate of mortality and severe AP (13% for CRP > 25 mg/l and 28% for CRP > 200 mg/l). Conclusion: CRP within 24 h from the onset of pain as an inclusion criterion elevates event rates and reduces the number of patients required in trials on AP.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
acute pancreatitis
C-reactive protein
white blood cell
trial design
sample size calculation
Megjelenés:Frontiers in Physiology. - 10 (2019), p. 1-12. -
További szerzők:Hanák Lilla Mikó Alexandra Bajor Judit Sarlós Patrícia Czimmer József Vincze Áron Gódi Szilárd Pécsi Dániel Varjú Péter Márta Katalin Hegyi Péter Jenő (belgyógyász) Erőss Bálint Szakács Zsolt Takács Tamás (Szeged) Czakó László Németh Balázs Tamás Illés Dóra Kui Balázs Darvasi Erika Izbéki Ferenc Halász Adrienn Dunás-Varga Veronika Gajdán László Hamvas József Papp Mária (1975-) (belgyógyász, gasztroenterológus) Földi Ildikó (1981-) (orvos) Fehér Krisztina Eszter Varga Márta Csefkó Klára Török Imola Farkas Hunor Mickevicius, Artautas Maldonado, Elena Ramirez Sallinen, Ville Novák János Ince, Ali Tüzün Galeev, Shamil Bod Barnabás Sümegi János Pencik, Petr Szepes Attila (Szeged) Szentesi Andrea Párniczky Andrea (gyermekgyógyász) Hegyi Péter Jr. (belgyógyász) Hungarian Pancreatic Study Group
Pályázati támogatás:GINOP 2.3.2-15-2016-00048
GINOP
EFOP-3.6.2-16-2017-00006
EFOP
Internet cím:Szerző által megadott URL
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2.

001-es BibID:BIBFORM090160
035-os BibID:(cikkazonosító)1367 (WOS)000626774100081 (Scopus)85099483306
Első szerző:Hegyi Péter Jr. (belgyógyász)
Cím:Evidence for diagnosis of early chronic pancreatitis after three episodes of acute pancreatitis : a cross-sectional multicentre international study with experimental animal model / Péter J. Hegyi, Alexandra Soós, Emese Tóth, Attila Ébert, Viktória Venglovecz, Katalin Márta, Péter Mátrai, Alexandra Mikó, Judit Bajor, Patrícia Sarlós, Áron Vincze, Adrienn Halász, Ferenc Izbéki, Zoltán Szepes, László Czakó, György Kovács, Mária Papp, Zsolt Dubravcsik, Márta Varga, József Hamvas, Balázs C. Németh, Melania Macarie, Ali Tüzüm Ince, Elena A. Dubtsova, Mariya A. Kirynkova, Igor E. Khatkov, Tanya Bideeva, Artautas Mickevicius, Elena Ramírez-Maldonado, Ville Sallinen, Bálint Erős, Dániel Pécsi, Andrea Szentesi, Andrea Párniczky, László Tiszlavicz, Péter Hegyi
Dátum:2021
ISSN:2045-2322
Megjegyzések:Abstract Chronic pancreatitis (CP) is an end-stage disease with no specific therapy; therefore, an early diagnosis is of crucial importance. In this study, data from 1315 and 318 patients were analysed from acute pancreatitis (AP) and CP registries, respectively. The population from the AP registry was divided into AP (n = 983), recurrent AP (RAP, n = 270) and CP (n = 62) groups. The prevalence of CP in combination with AP, RAP2, RAP3, RAP4 and RAP5 + was 0%, 1%, 16%, 50% and 47%, respectively, suggesting that three or more episodes of AP is a strong risk factor for CP. Laboratory, imaging and clinical biomarkers highlighted that patients with RAP3 + do not show a significant difference between RAPs and CP. Data from CP registries showed 98% of patients had at least one AP and the average number of episodes was four. We mimicked the human RAPs in a mouse model and found that three or more episodes of AP cause early chronic-like morphological changes in the pancreas. We concluded that three or more attacks of AP with no morphological changes to the pancreas could be considered as early CP (ECP).The new diagnostic criteria for ECP allow the majority of CP patients to be diagnosed earlier. They can be used in hospitals with no additional costs in healthcare.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Scientific Reports. - 11 : 1 (2021), p. 1-14. -
További szerzők:Soós Alexandra Tóth Emese Ébert Attila Venglovecz Viktória Márta Katalin Mátrai Péter Mikó Alexandra Bajor Judit Sarlós Patrícia Vincze Áron Halász Adrienn Izbéki Ferenc Szepes Zoltán Czakó László Kovács György (1982-) (belgyógyász, gasztroenterológus) Papp Mária (1975-) (belgyógyász, gasztroenterológus) Dubravcsik Zsolt (belgyógyász, gasztroenterológus) Varga Márta Hamvas József Németh Balázs Csaba Macarie, Melania Ince, Ali Tüzün Dubtsova, Elena A. Kirynkova, Mariya A. Khatkov, Igor E. Bideeva, Tanya Mickevicius, Artautas Ramírez-Maldonado, Elena Sallinen, Ville Erős Bálint Pécsi Dániel Szentesi Andrea Párniczky Andrea (gyermekgyógyász) Tiszlavicz László Hegyi Péter Jenő (belgyógyász)
Internet cím:DOI
Intézményi repozitóriumban (DEA) tárolt változat
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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
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
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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
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
DOI
Borító:

5.

001-es BibID:BIBFORM084964
Első szerző:Mosztbacher Dóra
Cím:Hypertriglyceridemia-induced acute pancreatitis : a prospective, multicenter, international cohort analysis of 716 acute pancreatitis cases / Mosztbacher Dóra, Hanák Lilla, Farkas Nelli, Szentesi Andrea, Mikó Alexandra, Bajor Judit, Sarlós Patrícia, Czimmer József, Vincze Áron, Hegyi Péter Jenő, Erőss Bálint, Takács Tamás, Czakó László, Németh Balázs Csaba, Izbéki Ferenc, Halász Adrienn, Gajdán László, Hamvas József, Papp Mária, Földi Ildikó, Fehér Krisztina Eszter, Varga Márta, Csefkó Klára, Török Imola, Farkas Hunor Pál, Mickevicius Artautas, Maldonado Elena Ramirez, Sallinen Ville, Novák János, Ince Ali Tüzün, Galeev Shamil, Bod Barnabás, Sümegi János, Pencik Petr, Dubravcsik Zsolt, Illés Dóra, Gódi Szilárd, Kui Balázs, Márta Katalin, Pécsi Dániel, Varjú Péter, Szakács Zsolt, Darvasi Erika, Párniczky Andrea, Hegyi Péter Jr., Hungarian Pancreatic Study Group
Dátum:2020
ISSN:1424-3903
Megjegyzések:Background. Hypertriglyceridemia is the third most common cause of acute pancreatitis (AP). It has been shown that hypertriglyceridemia aggravates the severity and related complications of AP; however, detailed analyses of large cohorts are inadequate and contradictory. Our aim was to investigate the dose-dependent effect of hypertriglyceridemia on AP. Methods. AP patients over 18 years old who underwent triglyceride measurement within the initial three days were included into our cohort analysis from a prospective international, multicenter AP registry operated by the Hungarian Pancreatic Study Group. Data on 716 AP cases were analyzed. Six groups were created based on the highest triglyceride level (<1.7 mmol/l, 1.7?2.19 mmol/l, 2.2?5.59 mmol/l, 5.6?11.29 mmol/l, 11.3?22.59 mmol/l, ?22.6 mmol/l). Results. Hypertriglyceridemia (?1.7 mmol/l) presented in 30.6% of the patients and was significantly and dose- dependently associated with younger age and male gender. In 7.7% of AP cases, hypertriglyceridemia (?11.3 mmol/l) was considered as a causative etiological factor; however, 43.6% of these cases were associated with other etiologies (alcohol and biliary). Hypertriglyceridemia was significantly and dose-dependently related to obesity and diabetes. The rates of local complications, organ failure and maximum CRP level were significantly and dose- dependently raised by hypertriglyceridemia. Triglyceride above 11.3 mmol/l was linked to a significantly higher incidence of moderately severe AP and longer hospital stay, whereas triglyceride over 22.6 mmol/l was significantly associated with severe AP as well. Conclusion. Hypertriglyceridemia dose-dependently aggravates the severity and related complications of AP. Diagnostic workup for hypertriglyceridemia requires better awareness regardless of the etiology of AP.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
acute pancreatitis
hypertriglyceridemia
etiology
cohort
severity
Megjelenés:Pancreatology. - 20 : 4 (2020), p. 608-616. -
További szerzők:Hanák Lilla Farkas Nelli Szentesi Andrea Mikó Alexandra Bajor Judit Sarlós Patrícia Czimmer József Vincze Áron Hegyi Péter Jenő (belgyógyász) Erőss Bálint Takács Tamás (Szeged) Czakó László Németh Balázs Csaba Izbéki Ferenc Halász Adrienn Gajdán László Hamvas József Papp Mária (1975-) (belgyógyász, gasztroenterológus) Földi Ildikó (1981-) (orvos) Fehér Krisztina Eszter Varga Márta Csefkó Klára Török Imola Farkas Hunor Mickevicius, Artautas Maldonado, Elena Ramirez Sallinen, Ville Novák János Ince, Ali Tüzün Galeev, Shamil Bod Barnabás Sümegi János Pencik, Petr Dubravcsik Zsolt (belgyógyász, gasztroenterológus) Illés Dóra Gódi Szilárd Kui Balázs Márta Katalin Pécsi Dániel Varjú Péter Szakács Zsolt Darvasi Erika Párniczky Andrea (gyermekgyógyász) Hegyi Péter Jr. (belgyógyász) Hungarian Pancreatic Study Group
Pályázati támogatás:K131996
OTKA
FK131864
OTKA
FK124632
OTKA
K120335
OTKA
GINOP 2.3.2-15-2016-00048
GINOP
EFOP-3.6.2-16-2017-00006
EFOP
ÚNKP-19-4
ÚNKP
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:

6.

001-es BibID:BIBFORM103700
035-os BibID:(scopus)85121564971 (wos)000731322900016 (cikkazonosító)24158
Első szerző:Ocskay Klementina
Cím:Hypoalbuminemia affects one third of acute pancreatitis patients and is independently associated with severity and mortality / Ocskay Klementina, Vinkó Zsófia, Németh Dávid, Szabó László, Bajor Judit, Gódi Szilárd, Sarlós Patrícia, Czakó László, Izbéki Ferenc, Hamvas József, Papp Mária, Varga Márta, Török Imola, Mickevicius Artautas, Sallinen Ville, Maldonado Elena Ramirez, Galeev Shamil, Mikó Alexandra, Erőss Bálint, Imrei Marcell, Hegyi Péter Jenő, Faluhelyi Nándor, Farkas Orsolya, Kanizsai Péter, Miseta Attila, Nagy Tamás, Hágendorn Roland, Márton Zsolt, Szakács Zsolt, Szentesi Andrea, Hegyi Péter, Párniczky Andrea
Dátum:2021
ISSN:2045-2322
Megjegyzések:The incidence and medical costs of acute pancreatitis (AP) are on the rise, and severe cases still have a 30% mortality rate. We aimed to evaluate hypoalbuminemia as a risk factor and the prognostic value of human serum albumin in AP. Data from 2461 patients were extracted from the international, prospective, multicentre AP registry operated by the Hungarian Pancreatic Study Group. Data from patients with albumin measurement in the frst 48 h (n= 1149) and anytime during hospitalization (n= 1272) were analysed. Multivariate binary logistic regression and Receiver Operator Characteristic curve analysis were used. The prevalence of hypoalbuminemia (<35 g/L) was 19% on admission and 35.7% during hospitalization. Hypoalbuminemia dose-dependently increased the risk of severity, mortality, local complications and organ failure and is associated with longer hospital stay. The predictive value of hypoalbuminemia on admission was poor for severity and mortality. Severe hypoalbuminemia (<25 g/L) represented an independent risk factor for severity (OR 48.761; CI 25.276?98.908) and mortality (OR 16.83; CI 8.32?35.13). Albumin loss during AP was strongly associated with severity (p< 0.001) and mortality (p= 0.002). Hypoalbuminemia represents an independent risk factor for severity and mortality in AP, and it shows a dose-dependent relationship with local complications, organ failure and length of stay.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Scientific Reports. - 11 : 1 (2021), p. 1-12. -
További szerzők:Vinkó Zsófia Németh Dávid Szabó László Bajor Judit Gódi Szilárd Sarlós Patrícia Czakó László Izbéki Ferenc Hamvas József Papp Mária (1975-) (belgyógyász, gasztroenterológus) Varga Márta Török Imola Mickevicius, Artautas Sallinen, Ville Maldonado, Elena Ramirez Galeev, Shamil Mikó Alexandra Erőss Bálint Imrei Marcell Hegyi Péter Jenő (belgyógyász) Faluhelyi Nándor Farkas Orsolya Kanizsai Péter Miseta Attila Nagy Tamás Hágendorn Roland Márton Zsolt Szakács Zsolt Szentesi Andrea Hegyi Péter (pszichológus) Párniczky Andrea (gyermekgyógyász)
Pályázati támogatás:EFOP-3.6.2-16-2017-00006
EFOP
GINOP-2.3.2-15-2016-00015
GINOP
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:

7.

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)
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
DOI
Borító:

8.

001-es BibID:BIBFORM082672
035-os BibID:(cikkazonosító)1202 (WoS)000487293600001 (Scopus)85072974153
Első szerző:Szentesi Andrea
Cím:Multiple Hits in Acute Pancreatitis : Components of Metabolic Syndrome Synergize Each Other's Deteriorating Effects / Andrea Szentesi, Andrea Párniczky, Áron Vincze, Judit Bajor, Szilárd Gódi, Patricia Sarlós, Noémi Gede, Ferenc Izbéki, Adrienn Halász, Katalin Márta, Dalma Dobszai, Imola Török, Hunor Farkas, Mária Papp, Márta Varga, József Hamvas, János Novák, Artautas Mickevicius, Elena Ramirez Maldonado, Ville Sallinen, Dóra Illés, Balázs Kui, Bálint Erőss, László Czakó, Tamás Takács, Péter Jr. Hegyi, Hungarian Pancreatic Study Group
Dátum:2019
ISSN:1664-042X
Megjegyzések:Introduction: The incidence of acute pancreatitis (AP) and the prevalence of metabolic syndrome (MetS) are growing worldwide. Several studies have confirmed that obesity (OB), hyperlipidemia (HL), or diabetes mellitus (DM) can increase severity, mortality, and complications in AP. However, there is no comprehensive information on the independent or joint effect of MetS components on the outcome of AP. Our aims were (1) to understand whether the components of MetS have an independent effect on the outcome of AP and (2) to examine the joint effect of their combinations. Methods: From 2012 to 2017, 1435 AP cases from 28 centers were included in the prospective AP Registry. Patient groups were formed retrospectively based on the presence of OB, HL, DM, and hypertension (HT). The primary endpoints were mortality, severity, complications of AP, and length of hospital stay. Odds ratio (OR) with 95% confidence intervals (CIs) were calculated. Results: 1257 patients (55.7 ? 17.0 years) were included in the analysis. The presence of OB was an independent predictive factor for renal failure [OR: 2.98 (CI: 1.33?6.66)] and obese patients spent a longer time in hospital compared to non-obese patients (12.1 vs. 10.4 days, p = 0.008). HT increased the risk of severe AP [OR: 3.41 (CI: 1.39?8.37)], renal failure [OR: 7.46 (CI: 1.61?34.49)], and the length of hospitalization (11.8 vs. 10.5 days, p = 0.020). HL increased the risk of local complications [OR: 1.51 (CI: 1.10?2.07)], renal failure [OR: 6.4 (CI: 1.93?21.17)], and the incidence of newly diagnosed DM [OR: 2.55 (CI: 1.26?5.19)]. No relation was found between the presence of DM and the outcome of AP. 906 cases (mean age ? SD: 56.9 ? 16.7 years) had data on all four components of MetS available. The presence of two, three, or four MetS factors increased the incidence of an unfavorable outcome compared to patients with no MetS factors. Conclusion: OB, HT, and HL are independent risk factors for a number of complications. HT is an independent risk factor for severity as well. Components of MetS strongly synergize each other's detrimental effect. It is important to search for and follow up on the components of MetS in AP.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
acute pancreatitis
metabolic syndrome
obesity
diabetes mellitus
hypertension
hyperlipidemia severity
mortality
Megjelenés:Frontiers in Physiology. - 10 (2019), p. 1-13. -
További szerzők:Párniczky Andrea (gyermekgyógyász) Vincze Áron Bajor Judit Gódi Szilárd Sarlós Patrícia Gede Noémi Izbéki Ferenc Halász Adrienn Márta Katalin Dobszai Dalma Török Imola Farkas Hunor Papp Mária (1975-) (belgyógyász, gasztroenterológus) Varga Márta Hamvas József Novák János Mickevicius, Artautas Maldonado, Elena Ramirez Sallinen, Ville Illés Dóra Kui Balázs Erőss Bálint Czakó László Takács Tamás (Szeged) Hegyi Péter Jr. (belgyógyász) Hungarian Pancreatic Study Group
Pályázati támogatás:KH125678
Egyéb
K116634
Egyéb
K120335
Egyéb
K128222
Egyéb
GINOP 2.3.2-15-2016-00048
GINOP
EFOP-3.6.2-16-2017-00006
EFOP
LP2014-10/2014
Egyéb
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:

9.

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
Egyéb
ÚNKP?22?4?II
Egyéb
FK131864
Egyéb
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:
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