TY - JOUR AU - Mavrogeni, Panayiota AU - Molnár, András AU - Molnár, Viktória AU - Tamás, László AU - Maihoub, Stefani TI - Correlation Between the Pitch and Loudness of Tinnitus, Hearing Levels, and Tinnitus Handicap Inventory Scores in Patients with Chronic Subjective Tinnitus JF - JOURNAL OF CLINICAL MEDICINE J2 - J CLIN MED VL - 13 PY - 2024 IS - 23 PG - 11 SN - 2077-0383 DO - 10.3390/jcm13237261 UR - https://m2.mtmt.hu/api/publication/35613051 ID - 35613051 N1 - Mavrogeni, P.; Molnár, A. contributed equally to this work and are co-first authors. AB - Objectives: The aim of this study was to investigate the relationships between tinnitus pitch and loudness, the frequency of hearing loss, hearing level, and the Tinnitus Handicap Inventory (THI) scores reported by patients. Methods: In total, 139 patients (50 men and 89 women; mean age ± SD, 60.19 ± 11.47 years) who suffered from chronic primary tinnitus associated with sensorineural hearing loss were included in the study. Participants underwent pure-tone audiometry and tinnitus pitch matching assessments. Additionally, all participants completed the Hungarian version of the THI questionnaire. Correlations were assessed using simple linear, Spearman’s, and Pearson’s correlation tests, and a linear regression model was applied. The Mann–Whitney U test was also used. Results: This study identified a significant correlation between the pitch of tinnitus and the frequency of hearing loss (p = 0.000 *; rho = 0.549). There was also a significant correlation between tinnitus noise and hearing levels (p = 0.000 *; rho = 0.375). Age was shown to significantly affect tinnitus loudness (p = 0.016 *) and hearing levels (p = 0.000 *) as determined by a linear regression model. Tinnitus duration only significantly influenced tinnitus loudness (p = 0.022). There was no significant effect of sex on tinnitus or audiometry parameters. Total THI scores were influenced solely by tinnitus loudness (p = 0.021 *). Furthermore, sex did have an effect on total THI scores, with women reporting higher scores (p = 0.000 *). Conclusions: This study concluded that there is a significant correlation between the pitch and loudness of tinnitus and hearing levels, suggesting a connection in their underlying mechanisms. The intensity of tinnitus and hearing level are primarily affected by ageing processes. Furthermore, the severity of self-perceived tinnitus is mainly related to the loudness of tinnitus. LA - English DB - MTMT ER - TY - JOUR AU - Lakner, Zoltán AU - Popp, József AU - Oláh, Judit AU - Zéman, Zoltán AU - Molnár, Viktória TI - Possibilities and limits of modelling of long-range economic consequences of air pollution. a case study TS - a case study JF - HELIYON J2 - HELIYON VL - 10 PY - 2024 IS - 4 PG - 21 SN - 2405-8440 DO - 10.1016/j.heliyon.2024.e26483 UR - https://m2.mtmt.hu/api/publication/34629686 ID - 34629686 LA - English DB - MTMT ER - TY - JOUR AU - Dékány, Lea AU - Molnár, Viktória AU - Molnár, András AU - Bikov, András AU - Lázár, Zsófia AU - Csenteri, Orsolya AU - Benedek, Pálma Edina TI - Analysis of possible risk factors for the severity of paediatric obstructive sleep apnoea syndrome. JF - EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY J2 - EUR ARCH OTO-RHINO-L VL - 280 PY - 2023 IS - 12 SP - 5607 EP - 5614 PG - 8 SN - 0937-4477 DO - 10.1007/s00405-023-08237-w UR - https://m2.mtmt.hu/api/publication/34178890 ID - 34178890 N1 - Department of Otolaryngology and Head and Neck Surgery, Semmelweis University, Budapest, Hungary Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom Department of Pulmonology, Semmelweis University, Budapest, Hungary Gottsegen György Hungarian Institute of Cardiology, Budapest, Hungary Sleep Laboratory and Sleep Surgery Unit, Heim Pál National Paediatric Institute, Budapest, Hungary Export Date: 06 October 2024; Cited By: 10; Correspondence Address: V. Molnár; Department of Otolaryngology and Head and Neck Surgery, Semmelweis University, Budapest, Hungary; email: molnar.viktoria@semmelweis.hu; CODEN: EAOTE AB - This study aimed to determine the effect of body mass index (BMI) percentile, asthma, sex, and age on the paediatric obstructive sleep apnoea (OSA) severity. Furthermore, to determine the possible predictive role of the BMI percentile and age in severe OSA.This retrospective study included 921 children aged 2-18 years diagnosed with OSA by polysomnography. Analysis of Covariance (ANCOVA), Spearman's correlation, Receiver Operating Characteristics (ROC) analyses were performed and area under the curve (AUC) was determined.We observed a significant association between a higher BMI percentile and the severity of OSA (p < 0.001, ρ = 0.15). The correlation also was significant under (p = 0.007, ρ = 0.11) and over 7 (p = 0.0002, ρ = 0.23) years of age. There was no association between the severity of OSA and the presence of asthma (p = 0.9) or sex (p = 0.891), respectively. Age was significantly related to OSA severity (p = 0.01, ρ = 0.08). Although both the BMI percentile (0.59 AUC [0.54-0.65]) and age (0.58 AUC [0.52-0.63]) predicted severe OSA, according to the sensitivity and specificity values of the ROC curve, the association presents a slight clinical relevance.OSA severity is determined by the BMI percentile and age in children; however, these factors are unsuitable for predicting severe OSA in clinical practice. Based on our results, obesity is also a significant risk factor for OSA in younger children. Our study highlights that older, overweight, and obese children have a higher risk for severe OSA. LA - English DB - MTMT ER - TY - JOUR AU - Bódis, Fruzsina AU - Orosz, Gábor AU - Szabó, Marcell AU - Molnár, Viktória AU - Tóth, József AU - Élő, László Gergely AU - Tamás, László AU - Élő, Gábor TI - Az antropometriai paraméterek szerepe a cadaveren végzett percutan tracheostomás módszerekben [Role of anthropometric parameters in percutaneous tracheostomies performed on cadavers] JF - ORVOSI HETILAP J2 - ORV HETIL VL - 164 PY - 2023 IS - 16 SP - 630 EP - 635 PG - 6 SN - 0030-6002 DO - 10.1556/650.2023.32746 UR - https://m2.mtmt.hu/api/publication/33768994 ID - 33768994 N1 - Semmelweis Egyetem, Általános Orvostudományi Kar, Fül-Orr-Gégészeti és Fej-Nyaksebészeti Klinika, Szigony u. 36., Budapest, 1083, Hungary Semmelweis Egyetem, Általános Orvostudományi Kar, Aneszteziológiai és Intenzív terápiás Klinika, Budapest, Hungary Semmelweis Egyetem, Általános Orvostudományi Kar, Sebészeti, Transzplantációs és Gasztoenterológiai Klinika, Budapest, Hungary Export Date: 16 October 2023 CODEN: ORHEA AB - Bevezetés és célkitűzés: A tartós gépi lélegeztetésre szoruló betegeknél tracheostoma képzése javasolt, mely számos sebészi és percutan módszerrel történhet. Vizsgálatunk során három különböző percutan dilatatiós tracheostomás technikát alkalmaztunk. Célunk volt a megfelelő magasságban behelyezett légcsőkanüllel összefüggő antropometriai paraméterek azonosítása. Anyag és módszerek: Randomizált, kontrollált obszervációs cadavervizsgálatunk során 118 esetet vizsgáltunk. A tracheostomás technikák közül a Griggs-technikát (n = 37), az Élő szerint módosított Griggs-technikát (n = 45) és a Ciaglia szerinti Blue Rhino folyamatos tágítást (n = 36) alkalmaztuk. Megmértük a cadaverek nyakkörfogatát, jugulomentalis távolságát és felkarkörfogatát. Megvizsgáltuk ezek összefüggését a tracheostomás kanül helyzetével. Eredmények: A felkarkörfogat és a nem megfelelő magasságban (a 4. tracheaporc alatt) behelyezett kanülpozíció között találtunk szignifikáns összefüggést (p = 0,0287). Ideális vágópontnak a 30 cm-es felkarkörfogatot határoztuk meg (szenzitivitás: 63,63%, specificitás: 60,22%). Következtetés: Percutan tracheostoma tervezésekor fontos az antropometriai paraméterek mérése. 30 cm vagy annál nagyobb felkarkörfogat esetén egyéb vizsgálómódszer és/vagy fül-orr-gégészeti konzultáció javasolt. Orv Hetil. 2023; 164(16): 630–635. LA - Hungarian DB - MTMT ER - TY - JOUR AU - Molnár, Viktória AU - Kunos, László AU - Tamás, László AU - Lakner, Zoltán TI - Evaluation of the Applicability of Artificial Intelligence for the Prediction of Obstructive Sleep Apnoea JF - APPLIED SCIENCES-BASEL J2 - APPL SCI-BASEL VL - 13 PY - 2023 IS - 7 PG - 18 SN - 2076-3417 DO - 10.3390/app13074231 UR - https://m2.mtmt.hu/api/publication/33719245 ID - 33719245 AB - Background Due to the large number of undiagnosed obstructive sleep apnoea (OSA) patients, our aim was to investigate the applicability of artificial intelligence (AI) in preliminary screening, based on simple anthropometric, demographic and questionnaire parameters. Methods Based on the results of the polysomnography performed, the 100 patients in the study were grouped as follows: non-OSA, mild OSA and moderately severe–severe OSA. Anthropometric measurements were performed, and the Berlin and Epworth questionnaires were completed. Results OSA prediction based on body mass index (BMI), gender and age was accurate in 81% of cases. With the completion of the questionnaires, accuracy rose to 83%. The Epworth questionnaire alone yielded a correct OSA prediction in 75%, while the Berlin questionnaire was correct in 62% of all cases. The best results for categorization by severity were obtained by combining BMI, gender and age parameters, together with responses to the questionnaires (71%). Supplemented with neck circumference, this result improves slightly (73%). Conclusion Based on the results, it can be concluded that OSA can be effectively and easily categorized using AI by combining anthropometric and demographic parameters, as well as questionnaire data. LA - English DB - MTMT ER - TY - JOUR AU - Molnár, Viktória AU - Molnár, András AU - Lakner, Zoltán AU - Tárnoki, Dávid László AU - Tárnoki, Ádám Domonkos AU - Jokkel, Zsófia AU - Kunos, László AU - Tamás, László TI - The prognostic role of ultrasound and magnetic resonance imaging in obstructive sleep apnoea based on lateral oropharyngeal wall obstruction JF - SLEEP AND BREATHING J2 - SLEEP BREATH VL - 27 PY - 2023 IS - 1 SP - 319 EP - 328 PG - 10 SN - 1520-9512 DO - 10.1007/s11325-022-02597-z UR - https://m2.mtmt.hu/api/publication/32774427 ID - 32774427 LA - English DB - MTMT ER - TY - THES AU - Molnár, Viktória TI - A képalkotó módszerek szerepének vizsgálata az obstruktív alvási apnoe diagnosztikájában PY - 2022 DO - 10.14753/SE.2022.2700 UR - https://m2.mtmt.hu/api/publication/33929384 ID - 33929384 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Molnár, Viktória AU - Lakner, Zoltán AU - Molnár, András AU - Tárnoki, Dávid László AU - Tárnoki, Ádám Domonkos AU - Kunos, László AU - Jokkel, Zsófia AU - Tamás, László TI - The Predictive Role of the Upper-Airway Adipose Tissue in the Pathogenesis of Obstructive Sleep Apnoea JF - LIFE-BASEL J2 - LIFE-BASEL VL - 12 PY - 2022 IS - 10 PG - 16 SN - 2075-1729 DO - 10.3390/life12101543 UR - https://m2.mtmt.hu/api/publication/33131611 ID - 33131611 AB - This study aimed to analyse the thickness of the adipose tissue (AT) around the upper airways with anthropometric parameters in the prediction and pathogenesis of OSA and obstruction of the upper airways using artificial intelligence. One hundred patients were enrolled in this prospective investigation, who were divided into control (non-OSA) and mild, moderately severe, and severe OSA according to polysomnography. All participants underwent drug-induced sleep endoscopy, anthropometric measurements, and neck MRI. The statistical analyses were based on artificial intelligence. The midsagittal SAT, the parapharyngeal fat, and the midsagittal tongue fat were significantly correlated with BMI; however, no correlation with AHI was observed. Upper-airway obstruction was correctly categorised in 80% in the case of the soft palate, including parapharyngeal AT, sex, and neck circumference parameters. Oropharyngeal obstruction was correctly predicted in 77% using BMI, parapharyngeal AT, and abdominal circumferences, while tongue-based obstruction was correctly predicted in 79% using BMI. OSA could be predicted with 99% precision using anthropometric parameters and AT values from the MRI. Age, neck circumference, midsagittal and parapharyngeal tongue fat values, and BMI were the most vital parameters in the prediction. Basic anthropometric parameters and AT values based on MRI are helpful in predicting OSA and obstruction location using artificial intelligence. LA - English DB - MTMT ER - TY - JOUR AU - Molnár, Viktória AU - Lakner, Zoltán AU - Molnár, András AU - Tárnoki, Dávid László AU - Tárnoki, Ádám Domonkos AU - Kunos, László AU - Tamás, László TI - The Predictive Role of Subcutaneous Adipose Tissue in the Pathogenesis of Obstructive Sleep Apnoea JF - LIFE-BASEL J2 - LIFE-BASEL VL - 12 PY - 2022 IS - 10 PG - 17 SN - 2075-1729 DO - 10.3390/life12101504 UR - https://m2.mtmt.hu/api/publication/33114427 ID - 33114427 LA - English DB - MTMT ER - TY - JOUR AU - Molnár, Viktória AU - Lakner, Zoltán AU - Molnár, András AU - Tárnoki, Dávid László AU - Tárnoki, Ádám Domonkos AU - Kunos, László AU - Jokkel, Zsófia AU - Tamás, László TI - Ultrasound and Magnetic Resonance Imaging of the Tongue in Obstructive Sleep Apnoea JF - APPLIED SCIENCES-BASEL J2 - APPL SCI-BASEL VL - 12 PY - 2022 IS - 19 PG - 14 SN - 2076-3417 DO - 10.3390/app12199583 UR - https://m2.mtmt.hu/api/publication/33109168 ID - 33109168 LA - English DB - MTMT ER -