CCL

Összesen 7 találat.
#/oldal:
Részletezés:
Rendezés:

1.

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
DOI
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: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)
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:

4.

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:

5.

001-es BibID:BIBFORM103702
035-os BibID:(cikkazonosító)671917 (scopus)85114319818 (wos)000692562300001
Első szerző:Tod Pál
Cím:Initial Renal Function (eGFR) Is a Prognostic Marker of Severe Acute Pancreatitis : a Cohort-Analysis of 1,224 Prospectively Collected Cases / Tod Pál, Farkas Nelli, Németh Dávid, Szénási Gábor, Vincze Áron, Hágendorn Roland, Czakó László, Illés Dóra, Izbéki Ferenc, Dunás-Varga Veronika, Papp Mária, Hamvas József, Varga Márta, Gombos Katalin, Nagy Tamás, Márton Zsolt, Faluhelyi Nándor, Török Imola, Ince Ali Tüzün, Galeev Shamil, Hegyi Péter Jenő, Szentesi Andrea, Párniczky Andrea, Szakács Zsolt, Hegyi Péter, Hamar Péter
Dátum:2021
ISSN:2296-858X
Megjegyzések:Background: Acute pancreatitis (AP) is a life-threatening disease. We aimed to explore the prognostic relevance of renal function based on estimated glomerular filtration rate (eGFR). Methods: A prospective registry of AP patients was established by the Hungarian Pancreatic Study Group. Data of 1,224 consecutive patients were collected between 2012 and 2017. Patients were divided into 3 groups according to their eGFR measured within 24 h of hospitalization: normal renal function: >90 mL/min, mild to moderate renal functional impairment: 30?90 mL/min and severe renal dysfunction: <30 mL/min. Associations of eGFR with outcome (survival, length of hospitalization, AP severity, blood glucose), inflammatory markers (erythrocyte sedimentation rate, white blood cell count), anemia and organ failure (heart, kidney, liver) were analyzed. Results: Death, longer hospitalization and severe AP, but not the cause of AP, were significantly associated with lower eGFR. The inflammatory markers (CRP, WBC count) but not anemia (Hb, Htk) were closely associated with severe renal dysfunction. Renal function was associated with heart and renal failure but not with other complications of AP such as respiratory failure, local pancreatic complications, diabetes or peptic ulcer. eGFR was not associated with liver damage (ALAT, ?-GT) or liver function (serum bilirubin) although biliary complications, alcohol and metabolic syndrome were the most common etiologies of AP. Tod et al. eGFR in Severe Acute Pancreatitis Conclusions: Our study suggests a useful prognostic value of initial eGFR in AP patients. Even mild eGFR reduction predicted mortality, severity of AP and the length of hospitalization. Thus, precise evaluation of renal function should be considered for assessing AP severity and outcome.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
AP severity and mortality
renal dysfunction
CKD-EPI
EGFR
human retrospective cohort
Megjelenés:Frontiers in Medicine. - 8 (2021), p. 1-10. -
További szerzők:Farkas Nelli Németh Dávid Szénási Gábor Vincze Áron Hágendorn Roland Czakó László Illés Dóra Izbéki Ferenc Dunás-Varga Veronika Papp Mária (1975-) (belgyógyász, gasztroenterológus) Hamvas József Varga Márta Gombos Katalin Nagy Tamás (1977-) (vegyész, orvosi laboratóriumi analitikus) Márton Zsolt Faluhelyi Nándor Török Imola Ince, Ali Tüzün Galeev, Shamil Hegyi Péter Jenő (belgyógyász) Szentesi Andrea Párniczky Andrea (gyermekgyógyász) Szakács Zsolt Hegyi Péter (pszichológus) Hamar Péter
Pályázati támogatás:EFOP-3.6.2-16-2017-00006
EFOP
GINOP-2.3.2-15-2016-00048
GINOP
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:

6.

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:

7.

001-es BibID:BIBFORM082674
Első szerző:Zádori Noémi
Cím:EarLy elimination of fatty acids iN hypertriglyceridemia-induced acuTe pancreatitis (ELEFANT trial) : protocol of an open-label, multicenter, adaptive randomized clinical trial / Noémi Zádori, Noémi Gede, Judit Antal, Andrea Szentesi, Hussain Alizadeh, Áron Vincze, Ferenc Izbéki, Mária Papp, László Czakó, Márta Varga, Enrique de-Madaria, Ole H. Petersen, Vijay P. Singh, Julia Mayerle, Nándor Faluhelyi, Attila Miseta, István Reiber, Péter Hegyi
Dátum:2020
ISSN:1424-3903
Megjegyzések:Introduction: Acute pancreatitis (AP) is a life-threatening inflammatory disease, with no specific pharmacologi- cal treatment. However, concerning some etiologies, early specific intervention (such as ERCP in biliary AP) has proven to be remarkably beneficial. Hypertriglyceridemia (HTG) induces severe pancreatic damage by several direct (cellular damage) and indirect (deterioration of microcirculation) mechanisms. Published data suggest that early removal of triglycerides (TGs) and toxic free fatty acids (FFAs) may be advantageous; however, high-quality evidence is still missing in the literature. Methods: /Design: ELEFANT is a randomized controlled, multicenter, international trial testing the concept that early elimination of TGs and FFAs from the blood is beneficial in HTG-AP. The study will be performed with the adaptive "drop-the-loser" design, which supports the possibility of dropping the inferior treatment arm, based on the results of the interim analysis. Patients with HTG-AP defined by TG level over 11.3 mmol/l (1000 mg/dL) are randomized into three groups: (A) patients who undergo plasmapheresis and receive aggressive fluid resuscita- tion; (B) patients who receive insulin and heparin treatment with aggressive fluid resuscitation; and (C) patients with aggressive fluid resuscitation. Please note that all intervention must be started within 48 h from the onset of abdominal pain. Exclusion criteria are designed logically to decrease the possibility of any distorting effects of other diseases. The composite primary endpoint will include both severity and mortality.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Acute pancreatitis
Hypertriglyceridemia
Plasmapheresis
Free fatty acids
Heparin
Insulin
Randomized clinical trial
Megjelenés:Pancreatology. - 20 : 3 (2020), p. 369-376. -
További szerzők:Gede Noémi Antal Judit Szentesi Andrea Alizadeh, Hussain Vincze Áron Izbéki Ferenc Papp Mária (1975-) (belgyógyász, gasztroenterológus) Czakó László Varga Márta de-Madaria, Enrique Petersen, Ole H. Singh, Vijay P. Mayerle, Julia Faluhelyi Nándor Miseta Attila Reiber István Hegyi Péter (pszichológus)
Pályázati támogatás:GINOP-2.3.2-15-2016-00048
GINOP
KH-125678
Egyéb
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:
Rekordok letöltése1 
Corvina könyvtári katalógus v8.2.27 © 2023 Monguz kft. Minden jog fenntartva.