TY - JOUR AU - Terhes, Gabriella AU - Bede, Olga TI - Investinalis virom jellemzői cystás fibrosisban (Szemlézett közlemény). Coffey MJ, Low I, Stelzer-Braid S, et L The intestinal virome in children with cytic fibrosis differs from healthy controls. Plos One 2020; 15(5): e0233557 TS - Coffey MJ, Low I, Stelzer-Braid S, et L The intestinal virome in children with cytic fibrosis differs from healthy controls. Plos One 2020; 15(5): e0233557 JF - MUCOVISCIDOSIS HUNGARICA J2 - MUCOVISCIDOSIS HUNGARICA VL - 9 PY - 2023 IS - 2 SP - 703 EP - 705 PG - 3 SN - 2416-0695 UR - https://m2.mtmt.hu/api/publication/34542037 ID - 34542037 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Bede, Olga AU - Sólyom, Enikő AU - Kosaras, Éva AU - Demeter, Botond AU - Vass, Klára AU - Adonyi, Mária AU - Székely, Györgyi AU - Terhes, Gabriella AU - Zsoldiné Urbán, Edit TI - A nem tuberculosis Mycobacterium abscessus complex jelentősége cystás fibrosisban JF - MUCOVISCIDOSIS HUNGARICA J2 - MUCOVISCIDOSIS HUNGARICA VL - 9 PY - 2023 IS - 2 SP - 681 EP - 695 PG - 15 SN - 2416-0695 UR - https://m2.mtmt.hu/api/publication/34542009 ID - 34542009 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Terhes, Gabriella AU - Bede, Olga TI - Korai vírusfertőzés előfordulása és hatása CF-es csecsemőkben (Szemelvények a nemzetközi irodalomból) JF - MUCOVISCIDOSIS HUNGARICA J2 - MUCOVISCIDOSIS HUNGARICA VL - 9 PY - 2023 IS - 1 SP - 652 EP - 654 PG - 3 SN - 2416-0695 UR - https://m2.mtmt.hu/api/publication/34410824 ID - 34410824 N1 - Mucoviscidosis Hungarica : cystas fibriosist kezelők oktató és továbbképző szaklapja, ISSN 2416-0695 LA - Hungarian DB - MTMT ER - TY - GEN AU - Juhász, Hajnalka AU - Burián, Katalin AU - Terhes, Gabriella TI - RESPIRATORY SYNCYTIAL VÍRUS IZOLÁTUMOK MOLEKULÁRIS EPIDEMIOLÓGIAI VIZSGÁLATA A DÉL-ALFÖLDI RÉGIÓBAN PY - 2023 UR - https://m2.mtmt.hu/api/publication/34194573 ID - 34194573 LA - Hungarian DB - MTMT ER - TY - GEN AU - Tóth, Ákos AU - Ungvári, Erika AU - Erdősi, Tímea AU - Tóth, Kinga AU - Terhes, Gabriella AU - Kristóf, Katalin TI - STREPTOCOCCUS PYOGENES M1UK HIPERVIRULENS KLÓN HELYZETE MAGYARORSZÁGON - A MOLEKULÁRIS EPIDEMIOLÓGIAI SURVEILLANCE ELSŐ EREDMÉNYEI PY - 2023 UR - https://m2.mtmt.hu/api/publication/34194566 ID - 34194566 LA - Hungarian DB - MTMT ER - TY - GEN AU - Terhes, Gabriella TI - COVID-19 - végtelen történet, a mikrobiológus szemszögéből PY - 2023 UR - https://m2.mtmt.hu/api/publication/34194562 ID - 34194562 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Csáti, Anett AU - Szok, Délia AU - Végh, Rita AU - Jakab, Katalin AU - Sárvári, Károly Péter AU - Terhes, Gabriella AU - Pásztor, Gyula AU - Gaál, Magdolna AU - Klivényi, Péter AU - Tajti, János TI - Neurosyphilis vagy nem – egy differenciáldiagnosztikai kihívás esete [Neurosyphilis or not – a case of a differential diagnostic challenge] JF - IDEGGYOGYASZATI SZEMLE / CLINICAL NEUROSCIENCE J2 - IDEGGYOGY SZEMLE VL - 76 PY - 2023 IS - 9-10 SP - 356 EP - 360 PG - 5 SN - 0019-1442 DO - 10.18071/isz.76.0356 UR - https://m2.mtmt.hu/api/publication/34178492 ID - 34178492 N1 - Szövegében 3 oldalas esetismertetés, ezért besorolása rövid közlemény az MTA V. Osztályának ajánlása alapján. (SE, SZTE admin5, 2023-10-11) AB - Paraparesis hátterében igazolódott myelitis transversa differenciáldiagnosztikai kihívást jelentő esetét mutatjuk be egy 42 éves nőbetegnél. A részletes kivizsgálás eredményeként a syphilis egyértelműen igazolódott, a myelitis hátterében a liquor mikrobiológiai eredményei, a liquor rutinvizsgálata és a klinikai tünetek alapján a valószínűsíthető neurosyphilis diagnózis volt felállítható. Esetünkben a syphilis kezelési protokollja alapján alkalmazott antibiotikum-kezelésre adott jó terápiás válasz a neurosyphilis diagnózisát valószínűsíti. Jelen esetismertetés kapcsán áttekintjük a myelopathia/myelitis differenciáldiagnosztikai lehetőségeit. Napjainkban a syphilis világszintű terjedése miatt a témával kapcsolatos tudásunk bővítése szükséges. LA - Hungarian DB - MTMT ER - TY - JOUR AU - Pietiäinen, Vilja AU - Polso, Minttu AU - Migh, Ede AU - Guckelsberger, Christian AU - Harmati, Mária AU - Diósdi, Ákos AU - Turunen, Laura AU - Hassinen, Antti AU - Potdar, Swapnil AU - Koponen, Annika AU - Gyukity-Sebestyén, Edina AU - Kovács, Ferenc AU - Kriston, András AU - Hollandi, Réka AU - Burián, Katalin AU - Terhes, Gabriella AU - Visnyovszki, Ádám AU - Fodor, Eszter AU - Lacza, Zsombor AU - Kantele, Anu AU - Kolehmainen, Pekka AU - Kakkola, Laura AU - Strandin, Tomas AU - Levanov, Lev AU - Kallioniemi, Olli AU - Kemény, Lajos AU - Julkunen, Ilkka AU - Vapalahti, Olli AU - Buzás, Krisztina AU - Paavolainen, Lassi AU - Horváth, Péter AU - Hepojoki, Jussi TI - Image-based and machine learning-guided multiplexed serology test for SARS-CoV-2 JF - CELL REPORTS METHODS J2 - CELL REP METH VL - 3 PY - 2023 IS - 8 PG - 19 SN - 2667-2375 DO - 10.1016/j.crmeth.2023.100565 UR - https://m2.mtmt.hu/api/publication/34107493 ID - 34107493 N1 - HCEMM-USZ Skin Research Group Funding Agency and Grant Number: LENDULET-BIOMAG grant; European Regional Development Funds; H2020-discovAIR; H2020 ATTRACT-Spheroid -Picker; Chan Zuckerberg Initiative, Seed Networks for the HCA-DVP [2018-342, GINOP-2.3.2-15-2016-00006, GINOP-2.3.2-15-2016-00026]; Finnish TEKES/BusinessFinland FiDiPro [GINOP-2.3.2-15-2016-00037]; Academy of Finland; EU H2020 VEO project; Minerva Foundation for COVID-19 Research project grant [874656]; Academy of Finland Flagship program, Finnish Center for Artificial Intelligence [40294/13, iCOIN-336496, 308613, 321809, 310552, 337530]; NKFIH grants; [FIRI2020-337036]; [2020-1.1.6-JOVO-2021-00010]; [TKP2020-NKA-17] Funding text: The authors thank the Minerva Institute (Helsinki, Finland) for providing utilities for the project, Prof. Perttu Hamalainen (Aalto University, Finland) for providing the expertise of his group for the project, the FIMM High Throughput Biomedicine Unit for providing access to high-throughput robotics, the FIMM High Content Imaging and Analysis Unit for HC imaging and analysis (HiLIFE, University of Helsinki and Biocenter Finland; EuroBioImaging, ISIDORe partner), and the CSC - IT Center for Science, Finland, for computational resources. We acknowledge support from the LENDULET-BIOMAG grant (2018-342), from the European Regional Development Funds (GINOP-2.3.2-15-2016-00006, GINOP-2.3.2-15-2016-00026, and GINOP-2.3.2-15-2016-00037), from the H2020-discovAIR (874656), from the H2020 ATTRACT-Spheroid -Picker, and from the Chan Zuckerberg Initiative, Seed Networks for the HCA-DVP. The Finnish TEKES/BusinessFinland FiDiPro Fellow Grant 40294/13 (to V.P., O.K., L.P., and P.H.), grants awarded by the Academy of Finland (iCOIN-336496 to O.K., V.P., and O.V.; 308613 to J.H.; 321809 to T.S.; 310552 to L.P.; 337530 to I.J.; and FIRI2020-337036 to FIMM-HCA, A.H., L.P., V.P., and P.H.), the EU H2020 VEO project (O.V.), and a Minerva Foundation for COVID-19 Research project grant (to V.P.) are also acknowledged. C.G. is funded by the Academy of Finland Flagship program, Finnish Center for Artificial Intelligence. OrthoSera Ltd. was funded by NKFIH grants (2020-1.1.6-JOVO-2021-00010 and TKP2020-NKA-17). The authors thank Dora Bokor, PharmD, for proofreading the manuscript. LA - English DB - MTMT ER - TY - JOUR AU - Takács, Andrea Tímea AU - Bukva, Mátyás AU - Bereczki, Csaba AU - Burián, Katalin AU - Terhes, Gabriella TI - Diagnosis of Epstein-Barr and cytomegalovirus infections using decision trees: an effective way to avoid antibiotic overuse in paediatric tonsillopharyngitis JF - BMC PEDIATRICS J2 - BMC PEDIATR VL - 23 PY - 2023 IS - 1 PG - 9 SN - 1471-2431 DO - 10.1186/s12887-023-04103-0 UR - https://m2.mtmt.hu/api/publication/34028861 ID - 34028861 LA - English DB - MTMT ER - TY - JOUR AU - Takács, Andrea Tímea AU - Bukva, Mátyás AU - Gavaller, Gabriella AU - Kapus, Katalin AU - Rozsa, Maria AU - Ban-Gagyi, Boglarka AU - Sinko, Maria AU - Szűcs, Dániel AU - Terhes, Gabriella AU - Bereczki, Csaba TI - Epidemiology and clinical features of SARS-CoV-2 infection in hospitalized children across four waves in Hungary: A retrospective, comparative study from March 2020 to December 2021 JF - HEALTH SCIENCE REPORTS J2 - HEAL SCI REP VL - 5 PY - 2022 IS - 6 PG - 11 SN - 2398-8835 DO - 10.1002/hsr2.937 UR - https://m2.mtmt.hu/api/publication/33314398 ID - 33314398 AB - Background and AimsFrom 2019 till the present, infections induced by the novel coronavirus and its mutations have posed a new challenge for healthcare. However, comparative studies on pediatric infections throughout waves are few. During four different pandemic waves, we intended to investigate the clinical and epidemiological characteristic of the pediatric population hospitalized for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus infection. MethodsBetween March 2020 and December 2021, we performed our retrospective research on children infected with the SARS-CoV-2 virus at the University of Szeged. We analyzed the data of all patients who required hospitalization due to positive results of SARS-CoV-2 tests (Nucleic Acid Amplification Test or rapid antigen test). Data analysis included demographic data, medical history, clinical findings, length of hospitalization, and complications, using medical records. ResultsIn this study, data from 358 coronavirus-infected children were analyzed. The most affected age group was children over 1 month and under 1 year (30.2%). The highest number of cases was recorded in the fourth wave (53.6%). Fever (65.6%), cough (51.4%), nasal discharge (35.3%), nausea and vomiting (31.3%), and decreased oral intake (28.9%) were the most common symptoms. The most common complications were dehydration (50.5%), pneumonia (14.9%), and bronchitis/bronchiolitis (14.5%). Based on RR values, there are considerable differences in the prevalence of the symptoms and complications between the different age groups and waves. Cox proportional hazard model analyzes showed that fever and tachypnoea had a relevant effect on days to recovery. ConclusionsWe found trends similar to those previously published, overall statistics. The proportion of children requiring hospitalization varied from wave to wave, with the fourth wave affecting the Hungarian child population the most. Our findings suggest that hospitalization time is unrelated to age, but that certain symptoms (fever and tachypnoea) are associated with longer hospitalization. The onset of certain symptoms may differ by age group. LA - English DB - MTMT ER -