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1.

001-es BibID:BIBFORM135285
035-os BibID:(WoS)001670700100001 (Scopus)105028560071
Első szerző:Ahmed, Omar Abdel-Fattah
Cím:Respiratory and related comorbidities` role in the risk of acute sinusitis: a 15-year longitudinal clinical study / Omar Abdel-Fattah Ahmed, Amr Sayed Ghanem, Marianna Móré, Attila Csaba Nagy
Dátum:2026
ISSN:2077-0383
Megjegyzések:Background/Objectives: Acute sinusitis (AS) is a common infection of the upper respiratory tract that places considerable clinical and economic burden worldwide. Although frequently encountered in practice, the factors that predispose individuals to AS remain poorly understood. This study examined how different respiratory disorders and comorbidities influence the likelihood of developing AS, aiming to clarify its underlying risk profile. Methods: A longitudinal analysis was performed using electronic health records from the Clinical Center of the University of Debrecen Hospital. The study cohort (2007?2022) encompassed 37,164 observations. To evaluate the risk of AS progression, Log-Rank tests and Cox proportional hazards regressions were applied whilst adjusting for covariates. Results: The risk of developing AS was significantly higher among individuals with preceding respiratory conditions. Patients with common cold demonstrated a 2.3-fold increased risk of developing AS (95% CI [1.51?3.40]). Compared to those without such disorders, participants with acute bronchitis had a 2.5-fold higher hazard of AS (95% CI 1.90?3.26). The strongest association was observed for allergic rhinitis (HR = 4.04, 95% CI 3.18?5.13), followed by chronic sinusitis (HR = 3.10, 95% CI 2.13?4.51). Chronic obstructive pulmonary disease was also identified as a significant predictor for AS (HR = 1.62, 95% CI 1.04?2.52), whereas dental pathologies were associated with a modest protective effect (HR = 0.69, 95% CI 0.48?0.97). Conclusions: Patients with allergic rhinitis, chronic sinusitis, acute bronchitis, common cold, or chronic obstructive pulmonary disease have a markedly higher risk of developing AS. Clinicians should actively screen for these conditions when assessing patients with recurrent or severe sinus infections. Early recognition and management of underlying respiratory disorders may reduce AS episodes, promote symptom control, and lessen healthcare burdens. Future research should concentrate on precision medicine to leverage AS preventive and management strategies.
Tárgyszavak:Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
respiratory
comorbidities
sinusitis
infection
allergic rhinitis
asthma
COPD
cohort
clinical
epidemiology
Megjelenés:Journal of Clinical Medicine. - 15 : 2 (2026), p. 1-16. -
További szerzők:Ghanem, Amr Sayed (1991-) (orvos, fogorvos) Móré Marianna (1959-) (társadalomkutató) Nagy Attila Csaba (1981-) (megelőző orvostan és népegészségtan szakorvos, epidemiológus)
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2.

001-es BibID:BIBFORM136270
Első szerző:Bata Róbert (informatikus)
Cím:Linear and non-linear feature selection for survival modelling of ischemic heart disease in patients with diabetes: Insights from electronic health records / Róbert Bata, Amr Sayed Ghanem, Attila Csaba Nagy
Dátum:2026
ISSN:1532-0464
Megjegyzések:Cardiovascular disease, particularly ischemic heart disease (IHD), is a major cause of morbidity and mortality in patients with type 2 diabetes mellitus (T2DM). Accurate risk prediction is essential, yet the influence of linear versus non-linear feature selection and survival modelling on performance and feature interpretability remains insufficiently explored. We analysed 12,281 patients with T2DM from a university hospital EHR, followed for up to 15 years. The outcome was incident IHD, defined by ICD-10 codes. After variance thresholding and multicollinearity filtering, 263 predictors were retained. Features were selected using univariate Cox regression, Random Survival Forest (RSF), and their consensus. Seven survival models (Cox, Ridge Cox, Weibull, RSF, Gradient-Boosted Survival [GBS], Survival SVM, XGBoost) were trained using five-fold cross-validation. Performance was assessed using the concordance index (C-index) and Integrated Brier Score (IBS). Feature importance stability, Spearman rank correlations, and top-20 feature contributions were compared across models. RSF, Weibull, GBS, and SSVM achieved the highest discrimination (C-index up to 0.78) with comparable calibration, whereas XGBoost consistently performed poorest (C-index 0.66?0.68). Linear models produced stable, diffuse feature importance profiles, while non-linear models concentrated importance on a narrower set of dominant predictors. Across all approaches, cardiovascular comorbidities (I10, I50, I15, I11) remained the most influential predictors. Linear models ensured stability and interpretability, whereas non-linear methods enhanced discrimination and calibration but increased variability. Combining linear and non-linear feature selection provided complementary insights for EHR-based risk prediction of IHD in T2DM.
Tárgyszavak:Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Ischemic heart disease
Feature importance
Survival analysis
Feature selection
Electronic health record
Type 2 diabetes mellitus
Megjelenés:Journal Of Biomedical Informatics. - 178 : 5 (2026), p. 105020-. -
További szerzők:Ghanem, Amr Sayed (1991-) (orvos, fogorvos) Nagy Attila Csaba (1981-) (megelőző orvostan és népegészségtan szakorvos, epidemiológus)
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3.

001-es BibID:BIBFORM133511
Első szerző:Bata Róbert (informatikus)
Cím:Feature Selection and Model Optimization for Survival Prediction in Patients with Angina Pectoris / Bata Róbert, Ghanem Amr Sayed, Nagy Attila Csaba
Dátum:2025
ISSN:2077-0383
Megjegyzések:With the rapid emergence of novel survival models and feature selection methods, comparing them with traditional approaches is essential to define contexts of optimal performance. Methods: This study systematically evaluates nine survival models combined with nine feature selection methods for predicting the occurrence of angina pectoris using electronic health record (EHR) data from a Hungarian hospital (n = 29,655, features = 1150). Performance was assessed with the concordance index (C-index) and integrated Brier score (IBS) to compare predictive accuracy across methods. Results: Tree-based survival models, particularly gradient-boosted survival (GBS) and random survival forest (RSF), consistently outperformed conventional approaches in terms of C-index, but showed slightly worse calibration as reflected in their higher IBSs. The best-performing model was RSF, which was optimized using Bayesian hyperparameter tuning. For feature selection, tree-based methods such as Boruta and RSF-based approaches showed superior performance. We further identified clusters of feature selection methods and generated consensus feature sets. We also analyzed the internal relationships between the selected features. Survival model performance was also examined over time using the time-dependent Area Under the Curve (AUC) based on the best-performing feature set. Conclusions: Our findings highlight the substantial impact of recent methodological innovations in survival analysis, which offer significant gains in predictive accuracy and efficiency, ultimately support more robust clinical decision-making in the early identification of angina pectoris among patients with diabetes.
Tárgyszavak:Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
survival analysis
machine learning
feature selection
EHR
comparative study
angina pectoris
type 2 diabetes mellitus
Megjelenés:Journal of Clinical Medicine. - 14 : 22 (2025), p. 1-20. -
További szerzők:Ghanem, Amr Sayed (1991-) (orvos, fogorvos) Nagy Attila Csaba (1981-) (megelőző orvostan és népegészségtan szakorvos, epidemiológus)
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4.

001-es BibID:BIBFORM132600
Első szerző:Bata Róbert (informatikus)
Cím:Association rule mining of time-based patterns in diabetes-related comorbidities on imbalanced data: a pre- and post-diagnosis study / Róbert Bata, Amr Sayed Ghanem, Eszter Vargáné Faludi, Ferenc Sztanek, Attila Csaba Nagy
Dátum:2025
ISSN:1472-6947
Megjegyzések:Type 2 diabetes mellitus (T2DM) is affecting over 529 million adults and anticipated to impact 1.3 billion by 2050. This disease often coexists with multiple comorbidities, which can complicate its management. These comorbidities not only increase morbidity and mortality but also challenge the effectiveness of interventions designed to manage diabetes and improve patient outcomes. We analysed imbalanced data of 25.065 patients deriving from the Clinical Centre of the University of Debrecen, Hungary. The aim of the study was to explore the prevalence and temporal patterns of comorbidities before and after the diagnosis of T2DM using Association Rule Mining (ARM) and network visualization. The initial five years following T2DM diagnosis mark a spike in newly emerging health conditions. Hypertension frequently occurs at an earlier stage, while pneumonia, eye-related disorders, and ischemic heart disease consistently appear throughout the progression of the disease. The ARM analysis showed that both acute and chronic kidney diseases, as well as respiratory disorders are common after T2DM diagnosis. Certain gender-specific trends, such as higher instances of heart failure and acute kidney injury in males, are also notable. The study highlights how ARM techniques reveal complex patterns in chronic disease management, suggesting potential pathways for targeted treatments.
Tárgyszavak:Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Type 2 diabetes
T2DM
ICD
Comorbidities
Association rule mining
Clinical data
Imbalanced data
Megjelenés:BMC Medical Informatics and Decision Making. - 25 : 1 (2025), p. 1-12. -
További szerzők:Ghanem, Amr Sayed (1991-) (orvos, fogorvos) Faludi Eszter Sztanek Ferenc (1982-) (orvos) Nagy Attila Csaba (1981-) (megelőző orvostan és népegészségtan szakorvos, epidemiológus)
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5.

001-es BibID:BIBFORM129650
035-os BibID:(WOS)001485420700001
Első szerző:Faludi Eszter
Cím:Influencing factors on attendance in cervical cancer screening among women with diabetes in Hungary: a cross-sectional study using European Health Interview Surveys 2009-2019 / Eszter Faludi Vargáné, Amr Sayed Ghanem, Chau Minh Nguyen, Jenifer Pataki, Gergő József Szőllősi, Attila Csaba Nagy
Dátum:2025
ISSN:2234-943X
Megjegyzések:Introduction: With this study, we examined the participation in cervical cancer screening among women with diabetes and the influencing factors of attendance. Methods: Data from the European Health Interview Surveys in Hungary (2009, 2014, 2019) were analyzed with multivariate and multiple logistic regressions. Results: A higher level of education (OR=2.56, 95% CI: 1.03-6.33 in the case of secondary level in 2014; and OR=3.09, 95% CI: 1.17-8.13 in the case of tertiary level in 2019, OR= 2.24, 95% CI: 1.12-4.46 in the case of tertiary level in the pooled data), a perceived good economic situation (OR=2.31, 95% CI: 1.30-4.09 in the pooled data), participation in breast cancer screening (OR= 5.41, 95% CI: 3.49-8.38 in the pooled data), and social support (OR= 2.04 95% CI: 1.03-4.03 in 2019) have a positive effect on participation in screening. Taking prescription drugs (OR= 0.31 95% CI: 0.12-0.83, in the pooled data), lower economic status (OR=0.25 95% CI:0.07-0.88, in 2009) and worse perceived health (OR= 0.20, 95% CI: 0.06-0.64 in 2014) can be considered factors with a negative effect. Conclusion: This study identified groups with low participation rates and made it clear that those groups with unfavorable health factors (bad financial status, bad perceived health, taking prescription drugs) participate the least in screening.
Tárgyszavak:Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
cervical cancer
cervical cancer screening
attendance
diabetes mellitus
European Health Interview Survey
Megjelenés:Frontiers in Oncology. - 15 (2025), p. 1-11. -
További szerzők:Ghanem, Amr Sayed (1991-) (orvos, fogorvos) Nguyen, Minh Chau Pataki Jenifer (1994-) (dietetikus, népegészségügyi szakember) Szőllősi Gergő József (1991-) (népegészségügyi ellenőr, népegészségügyi szakember) Nagy Attila Csaba (1981-) (megelőző orvostan és népegészségtan szakorvos, epidemiológus)
Pályázati támogatás:EKÖP-24-3-I
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6.

001-es BibID:BIBFORM127501
Első szerző:Faludi Eszter
Cím:Migrén és diabétesz együttes előfordulásának vizsgálata Magyarországon az Európai lakossági egészségfelmérés adatait felhasználva / Vargáné Faludi Eszter, Amr Sayed Ghanem, Chau Minh Nguyen, Nagy Attila Csaba
Dátum:2024
ISSN:0013-2268
Tárgyszavak:Orvostudományok Egészségtudományok magyar nyelvű folyóiratközlemény hazai lapban
folyóiratcikk
migrén
cukorbetegség
cukorbetegséggel összefüggő migrén
Európai lakossági egészségfelmérés
Megjelenés:Egészségtudomány. - 67 : 2 (2024), p. 37-51. -
További szerzők:Ghanem, Amr Sayed (1991-) (orvos, fogorvos) Nguyen, Minh Chau Nagy Attila Csaba (1981-) (megelőző orvostan és népegészségtan szakorvos, epidemiológus)
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7.

001-es BibID:BIBFORM131837
Első szerző:Ghanem, Amr Sayed (orvos, fogorvos)
Cím:Associations Between Diverse Beverage Consumption Patterns and Oral Health : evidence from a National Survey in Hungary / Amr Sayed Ghanem, Zsuzsa Emma Hajzer, Vanessza Hadar, Eszter Vargáné Faludi, Tamari Shenheliia, Marianna Móré, Attila Csaba Nagy, Ágnes Tóth
Dátum:2025
ISSN:2072-6643
Megjegyzések:Background/Objectives: Oral diseases are highly prevalent in Hungary and driven in part by unhealthy beverage consumption, smoking, and other behaviors. No prior study has examined the impact of beverage consumption patterns on oral health in a representative Hungarian population. This study investigated the association between beverage intake, lifestyle factors, and oral health outcomes among Hungarian adults. Methods: Data were drawn from the 2019 Hungarian European Health Interview Survey, a nationally representative cross-sectional study. Oral health outcomes and key exposures, including beverage consumption, smoking, alcohol use, and sociodemographic variables, were self-reported. Associations were assessed using multiple logistic regression models. Results: Among 5425 adults, higher dairy intake was linked to less gum bleeding (odds ratio = 0.76; 95% confidence intervals [0.59?0.96]) and lower odds of teeth missing (0.63 [0.47?0.86]). Weekly juice intake reduced gum bleeding (0.62 [0.51?0.76]) and missing teeth (0.83 [0.71?0.96]). Daily soda was associated with more gum bleeding (1.94 [1.53?2.47]), caries (1.57 [1.27?1.94]), and poor self-perceived oral health (1.32 [1.10?1.59]). Alcohol (1?4 times/week) increased gum bleeding (1.38 [1.07?1.77]) and tooth mobility (1.47 [1.02?2.11]). Smoking raised odds for caries (1.42 [1.21?1.66]) and missing teeth (1.81 [1.55?2.10]). Conclusions: Increasing dairy and fresh juice intake while reducing sugar-sweetened and acidic beverages, alongside tobacco and alcohol control and routine oral health screening, are effective strategies for improving population oral health across all sociodemographic groups.
Tárgyszavak:Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
oral health
beverage consumption
daily intake
sugar-sweetened beverages
dental caries
gum bleeding
periodontitis
smoking
alcohol use
population health
Megjelenés:Nutrients. - 2025 : 17 (2025), p. 1-21. -
További szerzők:Hajzer Zsuzsa Emma (1997-) (tanársegéd) Hadar Vanessza Faludi Eszter Shenheliia, Tamari Móré Mariann (1985-) (élelmiszerminőségbiztosító agrármérnök) Nagy Attila Csaba (1981-) (megelőző orvostan és népegészségtan szakorvos, epidemiológus) Tóth Ágnes
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8.

001-es BibID:BIBFORM131106
035-os BibID:(Scopus)105009864793
Első szerző:Ghanem, Amr Sayed (orvos, fogorvos)
Cím:Oral cancer in Hungary: An epidemiological profile (2015-2019) / Amr Sayed Ghanem, Laszlo Trefan, Ildikó Márton, Petra Fadgyas-Freyler, Attila Csaba Nagy, Marianna Móré
Dátum:2025
ISSN:1932-6203
Megjegyzések:Objective Hungary is among countries with the highest standardised rate oral and mouth cancers. This first national analysis aimed to quantify age-standardized oral cancer incidence in Hungary from 2015 to 2019 by sex and age, determine the median interval from diagnosis to death, and evaluate comorbidity prevalence and its prognostic impact. Methods We used real-world data from the Hungarian National Health Insurance Fund database. Adjusted, standardised incidence- and hospital readmission rates were calculated; time between diagnosis and death and effect of comorbidities coexisting with oral cancer were analysed. Results Generally, incidence and hospitalisation rates decreased in the studied period, for males and older age group both rates were higher. From year 2017 for incidence rates significant differences were found between a particular region and the other regions; and hospitalisation rates differed significantly for three regions from other regions. Almost half (46.3%) of the patients died within a year after diagnosis, mortality rates were 31.8% for males and 14.5% for females. Existence of oral cancer indicated 5.20 (95% confidence interval, 5.03,5.38), 5.84 (95% confidence interval, 5.64,6.04) odd ratios for mortality by two models. Number and relative risk of comorbidities were higher among patients diagnosed with oral cancer than in the control population. Conclusion The study highlighted progress in reducing oral cancer incidence rates in Hungary, however significant challenges remain in reducing mortality rates and improving survival within the first year of diagnosis. The study also showed oral cancer a serious burden in the country, especially for males.
Tárgyszavak:Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Cancers and neoplasms
Hungary
Cancer detection and diagnosis
Cancer risk factors
Age groups
Cancer epidemiology
Death rates
Salivary gland tumors
Megjelenés:Plos One. - 20 : 7 (2025), p. 1-23. -
További szerzők:Trefán László (1969-) (biostatisztikus, bioinformatikus) Márton Ildikó (1954-) (fogszakorvos) Fadgyas-Freyler Petra Nagy Attila Csaba (1981-) (megelőző orvostan és népegészségtan szakorvos, epidemiológus) Móré Marianna (1959-) (társadalomkutató)
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9.

001-es BibID:BIBFORM130710
Első szerző:Ghanem, Amr Sayed (orvos, fogorvos)
Cím:Sociodemographic inequalities in the global burden trends and machine learning-based projections of periodontitis from 1990 to 2030 across different development levels / Amr Sayed Ghanem, Róbert Bata, Nóra Kovács, Attila Csaba Nagy
Dátum:2025
ISSN:2673-4842
Megjegyzések:Introduction: Oral diseases affect billions globally, with periodontitis contributing to significant health disparities and systemic conditions like diabetes and cardiovascular diseases. Methods: This study utilized the GBD 2021 dataset to assess the global burden of periodontitis across 204 countries, analyzing prevalence, incidence, and DALY rates. Socioeconomic disparities were examined using the Sociodemographic Index (SDI) and Gini coefficient, while time-series analysis, regression models, and Joinpoint regression identified trends. Machine learning predicted future burden, and geospatial mapping visualized global distribution. Results: Periodontitis burden remains highest in low-SDI regions, with significantly greater prevalence, incidence, and DALY rates compared to higher-SDI countries (p?<?0.001). Global trends showed a decline until 2010 (AAPC: ASPR ?0.792%, ASIR ?0.719%, DALY ?0.794%; all p?<?0.05), followed by a temporary increase before stabilizing. Disparities widened over time, peaking around 2010. Projections suggest persistent inequalities, with low-SDI regions maintaining the highest burden and minimal expected reductions, while higher-SDI countries exhibit stable, lower rates. Conclusion: Despite global declines, periodontitis disparities have widened, with low-SDI regions facing the highest burden and minimal improvements. Without strong public health policies integrating preventive oral health into diseases management, inequalities will persist, worsening systemic health outcomes. Urgent action is needed to ensure universal access to periodontal care and early interventions, especially in low-resource settings.
Tárgyszavak:Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
disease burden
global burden of disease
inequalities
sociodemographic
oral cavity
periodontitis
periodontal disease
joinpoint regression
Megjelenés:Frontiers in Oral Health. - 6 (2025), p. 124-132. -
További szerzők:Bata Róbert (1982-) (informatikus) Kovács Nóra (1989-) (népegészségügyi szakember) Nagy Attila Csaba (1981-) (megelőző orvostan és népegészségtan szakorvos, epidemiológus)
Pályázati támogatás:EKÖP-24-3
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10.

001-es BibID:BIBFORM130228
Első szerző:Ghanem, Amr Sayed (orvos, fogorvos)
Cím:Flexible Parametric Survival Modeling of Transaminases as Predictive Biomarkers for Non-Alcoholic Fatty Liver Disease : a Retrospective Longitudinal Study (2012-2022) / Ghanem Amr Sayed, Tóth Ágnes, Takács Péter, Ulambayar Battamir, Móré Marianna, Nagy Attila Csaba
Dátum:2025
ISSN:1661-6596 1422-0067
Megjegyzések:Non-alcoholic fatty liver disease (NAFLD) is a common metabolic liver disease linked to obesity and diabetes. This study aimed to assess whether serum GOT and GPT can predict NAFLD early in at-risk individuals. A retrospective cohort study was conducted using hospital records from the University of Debrecen (2012?2022), including 4886 NAFLD-free individuals at baseline. NAFLD incidence was tracked using ICD-10 codes, with transaminase levels (GOT and GPT) and key metabolic comorbidities analyzed as predictors in a longitudinal design. Survival analysis included Fleming?Harrington tests, Kaplan?Meier, and Nelson?Aalen estimators as well as restricted mean survival time. The Royston?Parmar flexible parametric model was used to assess the time-dependent effects of GOT, GPT, and metabolic risk factors on NAFLD incidence. An elevated GOT was significantly associated with an increased NAFLD hazard (HR = 2.71, 95% CI: 1.31?5.58), as was an elevated GPT (HR = 2.21, 95% CI: 1.09?4.43). Disorders of lipid metabolism showed the strongest association (HR = 3.29, 95% CI: 1.51?7.25). Elevated GOT and GPT levels, in combination with demographic and clinical factors, may serve as valuable prognostic biomarkers for NAFLD progression, underscoring the importance of routine liver enzyme monitoring and comprehensive metabolic management to improve long-term patient outcomes.
Tárgyszavak:Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
non-alcoholic fatty liver disease
NAFLD
GOT
GPT
ALT
AST
Royston-Parmar
flexible parametric survival model
Megjelenés:International Journal Of Molecular Sciences. - 26 : 11 (2025), p. 5057-5077. -
További szerzők:Tóth Ágnes (1983-) (biofizikus) Takács Péter (1966-) (informatikus) Ulambayar, Battamir (1986-) (orvos) Móré Marianna (1959-) (társadalomkutató) Nagy Attila Csaba (1981-) (megelőző orvostan és népegészségtan szakorvos, epidemiológus)
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Intézményi repozitóriumban (DEA) tárolt változat
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11.

001-es BibID:BIBFORM128482
035-os BibID:(WoS)001452684400001 (Scopus)105002284153
Első szerző:Ghanem, Amr Sayed (orvos, fogorvos)
Cím:Analysis of Molecular Aspects of Periodontitis as a Risk Factor for Neurodegenerative Diseases : a Single-Center 10-Year Retrospective Cohort Study / Ghanem Amr Sayed, Móré Marianna, Nagy Attila Csaba
Dátum:2025
ISSN:1661-6596 1422-0067
Megjegyzések:Neurodegenerative diseases (NDDs) represent a considerable global health burden with no definitive treatments. Emerging evidence suggests that periodontitis may contribute to NDD through shared inflammatory, microbial, and genetic pathways. A retrospective cohort design was applied to analyze hospital records from 2012-2022 and to determine whether periodontitis independently increases NDD risk when accounting for major cardiovascular, cerebrovascular, metabolic, and inflammatory confounders. Likelihood ratio-based Cox regression tests and Weibull survival models were applied to assess the association between periodontitis and NDD risk. Model selection was guided by Akaike and Bayesian information criteria, while Harrell's C-index and receiver operating characteristic curves evaluated predictive performance. Periodontitis demonstrated an independent association with neurodegenerative disease risk (HR 1.43, 95% CI 1.02-1.99). Cerebral infarction conferred the highest hazard (HR 4.81, 95% CI 2.90-7.96), while pneumonia (HR 1.96, 95% CI 1.05-3.64) and gastroesophageal reflux disease (HR 2.82, 95% CI 1.77-4.51) also showed significant increases in risk. Older individuals with periodontitis are at heightened risk of neurodegenerative disease, an effect further intensified by cerebrovascular, cardiometabolic, and gastroesophageal conditions. Pneumonia also emerged as an independent pathophysiological factor that may accelerate disease onset or progression. Attention to oral and systemic factors through coordinated clinical management may mitigate the onset and severity of neurodegeneration.
Tárgyszavak:Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
periodontitis
neurodegenerative disease
cardiometabolic disease
cardiovascular disease
cerebrovascular disease
retrospective cohort
longitudinal
clinical
Weibull regression
Megjelenés:International Journal Of Molecular Sciences. - 26 : 6 (2025), p. 1-20. -
További szerzők:Móré Marianna (1959-) (társadalomkutató) Nagy Attila Csaba (1981-) (megelőző orvostan és népegészségtan szakorvos, epidemiológus)
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12.

001-es BibID:BIBFORM128370
Első szerző:Ghanem, Amr Sayed (orvos, fogorvos)
Cím:Inflammatory Biomarkers and Oral Health Disorders as Predictors of Head and Neck Cancer : a Retrospective Longitudinal Study / Amr Sayed Ghanem, Kitti Sipos, Ágnes Tóth, Attila Csaba Nagy
Dátum:2025
ISSN:1661-6596 1422-0067
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:International Journal Of Molecular Sciences. - 26 : 5 (2025), p. 1-20. -
További szerzők:Sipos Kitti (1991-) (fogorvos) Tóth Ágnes (1983-) (biofizikus) Nagy Attila Csaba (1981-) (megelőző orvostan és népegészségtan szakorvos, epidemiológus)
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Intézményi repozitóriumban (DEA) tárolt változat
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