CCL

Összesen 4 találat.
#/oldal:
Részletezés:
Rendezés:

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
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:

2.

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:

3.

001-es BibID:BIBFORM090171
Első szerző:Mikó Alexandra
Cím:Early Phase of Chronic Pancreatitis : results of the First 20 Months of the GOULASH-PLUS Clinical Study / A. Mikó, D. Kato, V. Lillik, L. Gajdán, M. Papp, I. Földi, B. Bodis, N. Faluhelyi, P. Sarlos, Á. Vincze, Z. Szepes, G. Elsayed, P. Mosler, B. Erős, L. Czakó, P. Hegyi
Dátum:2020
ISSN:1424-3903
Megjegyzések:Purpose: Acute pancreatitis (AP) is a severe inflammatory disease that can lead to irreversible complications such as recurrent acute pancreatitis (RAP) and chronic pancreatitis (CP). CP is often diagnosed in an advanced form, though it could be effectively managed at an early stage. However, parameters indicative of early CP are still unknown. We aim to find measurable biomarkers and clinical signs of this early phase through the GOULASH-PLUS follow-up study. Materials and methods: GOULASH-PLUS is a longitudinal study of AP with a 6-year follow-up of patients with a well documented episode of AP. Imaging, physical and laboratory testing is performed annually. To detect endocrine function, blood glucose, HbA1C were measured, and oral glucose tolerance test (OGTT) was performed; exocrine parameters were measured by a stool elastase test. Chi-square test and Fisher exact test were used for statistical analysis. Results: Of the first 133 patients, 57 (43%)were women, 76 (57%)were men, and the average age was 55. 27 (20%) patients had moderate AP, 6 (5%) had severe AP, and 15 (14%) had RAP in the first year. 13 (16%) patients were diagnosed with severe exocrine pancreas insufficiency, 17 (15%) were diagnosed with diabetes and 23 (20%) with impaired glucose tolerance (IGT). Exocrine abnormalities were present in 70% of patients with RAP, compared with only 18% in the group without RAP (p <0.001). There was no difference in endocrine function between RAP and non-RAP groups. Based on OGTT, hyperinsulinemia was detected in IGT and diabetic groups, and endocrine disruption (IGT, DM) was not associated with AP severity. Conclusions: One year after AP, exocrine and endocrine insufficiency can be measured in the majority of patients. In RAP, exocrine abnormalities appear earlier, while the endocrine function is not affected. The development of IGT and DM is independent of the severity of AP.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idézhető absztrakt
folyóiratcikk
Megjelenés:Pancreatology. - 20 (2020), p. S29. -
További szerzők:Kató D. Lillik V. Gajdán László Papp Mária (1975-) (belgyógyász, gasztroenterológus) Földi Ildikó (1981-) (orvos) Bódis Beáta Faluhelyi Nándor Sarlós Patrícia Vincze Áron Szepes Zoltán Elsayed, G. Mosler, P. Erős Bálint Czakó László Hegyi Péter Jenő (belgyógyász)
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
Borító:

4.

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:
Rekordok letöltése1