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  • 1
    Online Resource
    Online Resource
    Early prediction of acute necrotizing pancreatitis by artificial intelligence: a prospective cohort-analysis of 2387 cases
    Springer Science and Business Media LLC ; 2022
    In:  Scientific Reports Vol. 12, No. 1 ( 2022-05-12)
    Details
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 12, No. 1 ( 2022-05-12)
    Abstract: 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 2387 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.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    URL: Article
    DOI: 10.1038/s41598-022-11517-w
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2615211-3
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  • 2
    Online Resource
    Online Resource
    The Prognostic Value of Anemia in Patients with Preserved, Mildly Reduced and Recovered Ejection Fraction
    MDPI AG ; 2022
    In:  Diagnostics Vol. 12, No. 2 ( 2022-02-17), p. 517-
    Details
    In: Diagnostics, MDPI AG, Vol. 12, No. 2 ( 2022-02-17), p. 517-
    Abstract: Data on the relevance of anemia in heart failure (HF) patients with an ejection fraction (EF) 〉 40% by subgroup—preserved (HFpEF), mildly reduced (HFmrEF) and the newly defined recovered EF (HFrecEF)—are scarce. Patients with HF symptoms, elevated NT-proBNP, EF ≥ 40% and structural abnormalities were registered in the HFpEF-HFmrEF database. We described the outcome of our HFpEF-HFmrEF cohort by the presence of anemia. Additionally, HFrecEF patients were also selected from HFrEF patients who underwent resynchronization and, as responders, reached 40% EF. Using propensity score matching (PSM), 75 pairs from the HFpEF-HFmrEF and HFrecEF groups were matched by their clinical features. After PMS, we compared the survival of the HFpEF-HFmrEF and HFrecEF groups. Log-rank, uni-and multivariate regression analyses were performed. From 375 HFpEF-HFmrEF patients, 42 (11%) died during the median follow-up time of 1.4 years. Anemia (HR 2.77; 95%CI 1.47–5.23; p 〈 0.01) was one of the strongest mortality predictors, which was also confirmed by the multivariate analysis (aHR 2.33; 95%CI 1.21–4.52; p = 0.01). Through PSM, the outcomes for HFpEF-HFmrEF and HFrecEF patients with anemia were poor, exhibiting no significant difference. In HFpEF-HFmrEF, anemia was an independent mortality predictor. Its presence multiplied the mortality risk in those with EF ≥ 40%, regardless of HF etiology.
    Type of Medium: Online Resource
    ISSN: 2075-4418
    URL: Article
    DOI: 10.3390/diagnostics12020517
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2662336-5
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  • 3
    Online Resource
    Online Resource
    The Struggle between Cash and Electronic Payments
    MDPI AG ; 2022
    In:  Economies Vol. 10, No. 12 ( 2022-11-30), p. 304-
    Details
    In: Economies, MDPI AG, Vol. 10, No. 12 ( 2022-11-30), p. 304-
    Abstract: The assessment of consumer behavior regarding the choice of financial instruments may be extremely important in the near future, since the fight between cash and electronic money has reached a turning point, and electronic payments are slowly defeating cash. On one hand, in the long term, this possible separation threatens sustainable development goals, and on the other hand, financial awareness can affect the number of purchases and savings. In a survey of 499 people, we examined the reasons behind their decisions, with a particular focus on financial awareness. The result shows that the vast majority of Hungarian consumers are not yet ready to fully accept electronic payments. It can be stated that financial awareness is not present at all in one-fifth of respondents, and one-third are influenced by habituation in everyday shopping situations, which indicates a lack of financial awareness. Based on our results, we have concluded that our consumers still find it difficult to abandon cash payments. Financial awareness needs to be improved in parallel with the Hungarian government’s strategy to reduce the use of cash.
    Type of Medium: Online Resource
    ISSN: 2227-7099
    URL: Article
    DOI: 10.3390/economies10120304
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2704214-5
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  • 4
    Online Resource
    Online Resource
    EASY‐APP: An artificial intelligence model and application for early and easy prediction of severity in acute pancreatitis
    Wiley ; 2022
    In:  Clinical and Translational Medicine Vol. 12, No. 6 ( 2022-06)
    Details
    In: Clinical and Translational Medicine, Wiley, Vol. 12, No. 6 ( 2022-06)
    Abstract: Acute pancreatitis (AP) is a potentially severe or even fatal inflammation of the pancreas. Early identification of patients 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 h to predict the severity; therefore, the early therapeutic window is often missed. Methods The early achievable severity index (EASY) is a multicentre, multinational, prospective and observational study (ISRCTN10525246). The predictions were made using machine learning models. We used the scikit‐learn, xgboost and catboost Python packages for modelling. We evaluated our models using fourfold cross‐validation, and the receiver operating characteristic (ROC) curve, the area under the ROC curve (AUC), and accuracy metrics were calculated on the union of the test sets of the cross‐validation. The most critical factors and their contribution to the prediction were identified using a modern tool of explainable artificial intelligence called SHapley Additive exPlanations (SHAP). Results The prediction model was based on an international cohort of 1184 patients and a validation cohort of 3543 patients. The best performing model was an XGBoost classifier with an average AUC score of 0.81 ± 0.033 and an accuracy of 89.1%, and the model improved with experience. The six most influential features were the respiratory rate, body temperature, abdominal muscular reflex, gender, age and glucose level. Using the XGBoost machine learning algorithm for prediction, the SHAP values for the explanation and the bootstrapping method to estimate confidence, we developed a free and easy‐to‐use web application in the Streamlit Python‐based framework (http://easy‐app.org/). Conclusions The EASY prediction score is a practical tool for identifying patients at high risk for severe AP within hours of hospital admission. The web application is available for clinicians and contributes to the improvement of the model.
    Type of Medium: Online Resource
    ISSN: 2001-1326 , 2001-1326
    URL: Issue
    URL: Article
    DOI: 10.1002/ctm2.v12.6
    DOI: 10.1002/ctm2.842
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2697013-2
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  • 5
    Online Resource
    Online Resource
    Personalised health education against health damage of COVID-19 epidemic in the elderly Hungarian population (PROACTIVE-19): protocol of an adaptive randomised controlled clinical trial
    Springer Science and Business Media LLC ; 2020
    In:  Trials Vol. 21, No. 1 ( 2020-09-29)
    Details
    In: Trials, Springer Science and Business Media LLC, Vol. 21, No. 1 ( 2020-09-29)
    Abstract: Early reports indicate that COVID-19 may require intensive care unit (ICU) admission in 5–26% and overall mortality can rise to 11% of the recognised cases, particularly affecting the elderly. There is a lack of evidence-based targeted pharmacological therapy for its prevention and treatment. We aim to compare the effects of a World Health Organization recommendation-based education and a personalised complex preventive lifestyle intervention package (based on the same WHO recommendation) on the outcomes of the COVID-19. Methods PROACTIVE-19 is a pragmatic, randomised controlled clinical trial with adaptive “sample size re-estimation” design. Hungarian population over the age of 60 years without confirmed COVID-19 will be approached to participate in a telephone health assessment and lifestyle counselling voluntarily. Volunteers will be randomised into two groups: (A) general health education and (B) personalised health education. Participants will go through questioning and recommendation in 5 fields: (1) mental health, (2) smoking habits, (3) physical activity, (4) dietary habits, and (5) alcohol consumption. Both groups A and B will receive the same line of questioning to assess habits concerning these topics. Assessment will be done weekly during the first month, every second week in the second month, then monthly. The composite primary endpoint will include the rate of ICU admission, hospital admission (longer than 48 h), and mortality in COVID-19-positive cases. The estimated sample size is 3788 subjects per study arm. The planned duration of the follow-up is a minimum of 1 year. Discussion These interventions may boost the body’s cardiovascular and pulmonary reserve capacities, leading to improved resistance against the damage caused by COVID-19. Consequently, lifestyle changes can reduce the incidence of life-threatening conditions and attenuate the detrimental effects of the pandemic seriously affecting the older population. Trial registration The study has been approved by the Scientific and Research Ethics Committee of the Hungarian Medical Research Council (IV/2428- 2 /2020/EKU) and has been registered at clinicaltrials.gov ( NCT04321928 ) on 25 March 2020.
    Type of Medium: Online Resource
    ISSN: 1745-6215
    URL: Article
    DOI: 10.1186/s13063-020-04733-0
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2040523-6
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  • 6
    Online Resource
    Online Resource
    A Termini magyar–magyar szótár és adatbázis szerkezeti és szerkesztési sajátosságai
    Eötvös Loránd University ; 2021
    In:  Magyar Nyelvőr Vol. 145, No. 4 ( 2021), p. 378-389
    Details
    In: Magyar Nyelvőr, Eötvös Loránd University, Vol. 145, No. 4 ( 2021), p. 378-389
    Type of Medium: Online Resource
    ISSN: 0025-0236 , 1585-4515
    URL: Journal
    URL: Article
    DOI: 10.38143/Nyr
    DOI: 10.38143/Nyr.2021.4.378
    Language: Unknown
    Publisher: Eötvös Loránd University
    Publication Date: 2021
    detail.hit.zdb_id: 2199019-0
    SSG: 7,52
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  • 7
    Online Resource
    Online Resource
    The Role of Online Bible Readers in Biblical Concordance Making
    Walter de Gruyter GmbH ; 2022
    In:  Hungarian Studies Yearbook Vol. 4, No. 1 ( 2022-11-01), p. 183-196
    Details
    In: Hungarian Studies Yearbook, Walter de Gruyter GmbH, Vol. 4, No. 1 ( 2022-11-01), p. 183-196
    Abstract: Bible concordances lead Bible readers with rendering words and phrases of the Holy Bible in alphabetical listings and show where the terms occur throughout all books of Scripture. With cross-references for verses, concordances make it easy to understand the meaning of terms and the context in which those words are used. In Hungarian Bible studies several translations of the Bible are available (also online) and some of the contemporary translations are provided with on-the-fly concordances. Online versions of the Bible translations can easily build KWIC-concordances but not in an equal way. The study shows different approaches to online Bible concordance of the Hungarian translations to be found online and also tries to illustrate bottlenecks of concordance making on the off-line concordance being built to the so called ÚRK Bible (Újonnan Revideált Biblia – Newly Revised Bible). The obstacles in this concordance are connected with terminological and lexicographic approaches as this concordance is based on translations of the keywords of the ESV Bible Concordance.
    Type of Medium: Online Resource
    ISSN: 2668-7542
    URL: Article
    DOI: 10.2478/hsy-2022-0009
    Language: English
    Publisher: Walter de Gruyter GmbH
    Publication Date: 2022
    detail.hit.zdb_id: 3147750-1
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  • 8
    Online Resource
    Online Resource
    The effect of COVID-19 vaccination status on all-cause mortality in patients hospitalised with COVID-19 in Hungary during the delta wave of the pandemic
    Springer Science and Business Media LLC ; 2023
    In:  GeroScience
    Details
    In: GeroScience, Springer Science and Business Media LLC
    Abstract: The high mortality of patients with coronavirus disease 2019 (COVID-19) is effectively reduced by vaccination. However, the effect of vaccination on mortality among hospitalised patients is under-researched. Thus, we investigated the effect of a full primary or an additional booster vaccination on in-hospital mortality among patients hospitalised with COVID-19 during the delta wave of the pandemic. This retrospective cohort included all patients ( n  = 430) admitted with COVID-19 at Semmelweis University Department of Medicine and Oncology in 01/OCT/2021–15/DEC/2021. Logistic regression models were built with COVID-19-associated in-hospital/30 day-mortality as outcome with hierarchical entry of predictors of vaccination, vaccination status, measures of disease severity, and chronic comorbidities. Deceased COVID-19 patients were older and presented more frequently with cardiac complications, chronic kidney disease, and active malignancy, as well as higher levels of inflammatory markers, serum creatinine, and lower albumin compared to surviving patients (all p   〈  0.05). However, the rates of vaccination were similar (52–55%) in both groups. Based on the fully adjusted model, there was a linear decrease of mortality from no/incomplete vaccination (ref) through full primary (OR 0.69, 95% CI: 0.39–1.23) to booster vaccination (OR 0.31, 95% CI 0.13–0.72, p  = 0.006). Although unadjusted mortality was similar among vaccinated and unvaccinated patients, this was explained by differences in comorbidities and disease severity. In adjusted models, a full primary and especially a booster vaccination improved survival of patients hospitalised with COVID-19 during the delta wave of the pandemic. Our findings may improve the quality of patient provider discussions at the time of admission.
    Type of Medium: Online Resource
    ISSN: 2509-2723
    URL: Article
    DOI: 10.1007/s11357-023-00931-1
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2886418-9
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  • 9
    Online Resource
    Online Resource
    The effects of CRF and the urocortins on the hippocampal acetylcholine release in rats
    Elsevier BV ; 2021
    In:  Neuropeptides Vol. 88 ( 2021-08), p. 102147-
    Details
    In: Neuropeptides, Elsevier BV, Vol. 88 ( 2021-08), p. 102147-
    Type of Medium: Online Resource
    ISSN: 0143-4179
    URL: Article
    DOI: 10.1016/j.npep.2021.102147
    RVK:
    WA 15000
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 2002474-5
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  • 10
    Online Resource
    Online Resource
    Presence of TRPA1 Modifies CD4+/CD8+ T Lymphocyte Ratio and Activation
    MDPI AG ; 2022
    In:  Pharmaceuticals Vol. 15, No. 1 ( 2022-01-01), p. 57-
    Details
    In: Pharmaceuticals, MDPI AG, Vol. 15, No. 1 ( 2022-01-01), p. 57-
    Abstract: Transient Receptor Potential Ankyrin 1 (TRPA1) has been reported to influence neuroinflammation and lymphocyte function. We analysed the immune phenotype and activation characteristics of TRPA1-deficient mice (knockout—KO) generated by targeted deletion of the pore-loop domain of the ion channel. We compared TRPA1 mRNA and protein expression in monocyte and lymphocyte subpopulations isolated from primary and secondary lymphatic organs of wild type (WT) and KO mice. qRT-PCR and flow cytometric studies indicated a higher level of TRPA1 in monocytes than in lymphocytes, but both were orders of magnitude lower than in sensory neurons. We found lower CD4+/CD8+ thymocyte ratios, diminished CD4/CD8 rates, and B cell numbers in the KO mice. Early activation marker CD69 was lower in CD4+ T cells of KO, while the level of CD8+/CD25+ cells was higher. In vitro TcR-mediated activation did not result in significant differences in CD69 level between WT and KO splenocytes, but lower cytokine (IL-1β, IL-6, TNF-α, IL-17A, IL-22, and RANTES) secretion was observed in KO splenocytes. Basal intracellular Ca2+ level and TcR-induced Ca2+ signal in T lymphocytes did not differ significantly, but interestingly, imiquimod-induced Ca2+ level in KO thymocytes was higher. Our results support the role of TRPA1 in the regulation of activation, cytokine production, and T and B lymphocytes composition in mice.
    Type of Medium: Online Resource
    ISSN: 1424-8247
    URL: Article
    DOI: 10.3390/ph15010057
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2193542-7
    SSG: 15,3
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