Maria Chondrogiorgi
University of Ioannina
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Featured researches published by Maria Chondrogiorgi.
Environment International | 2016
Evangelos Evangelou; Georgios Ntritsos; Maria Chondrogiorgi; Fotini K. Kavvoura; Antonio F. Hernández; Evangelia E. Ntzani; Ioanna Tzoulaki
BACKGROUND Diabetes mellitus has a multifactorial pathogenesis with a strong genetic component as well as many environmental and lifestyle influences. Emerging evidence suggests that environmental contaminants, including pesticides, might play an important role in the pathogenesis of diabetes. OBJECTIVES We performed a systematic review and meta-analysis of observational studies that assessed the association between exposure to pesticides and diabetes and we examined the presence of heterogeneity and biases across available studies. METHODS A comprehensive literature search of peer-reviewed original research pertaining to pesticide exposure and diabetes, published until 30st May 2015, with no language restriction, was conducted. Eligible studies were those that investigated potential associations between pesticides and diabetes without restrictions on diabetes type. We included cohort studies, case-control studies and cross-sectional studies. We extracted information on study characteristics, type of pesticide assessed, exposure assessment, outcome definition, effect estimate and sample size. RESULTS We identified 22 studies assessing the association between pesticides and diabetes. The summary OR for the association of top vs. bottom tertile of exposure to any type of pesticide and diabetes was 1.58 (95% CI: 1.32-1.90, p=1.21×10(-6)), with large heterogeneity (I(2)=66.8%). Studies evaluating Type 2 diabetes in particular (n=13 studies), showed a similar summary effect comparing top vs. bottom tertiles of exposure: 1.61 (95% CI 1.37-1.88, p=3.51×10(-9)) with no heterogeneity (I(2)=0%). Analysis by type of pesticide yielded an increased risk of diabetes for DDE, heptachlor, HCB, DDT, and trans-nonachlor or chlordane. CONCLUSIONS The epidemiological evidence, supported by mechanistic studies, suggests an association between exposure to organochlorine pesticides and Type 2 diabetes.
European Journal of Neurology | 2014
Maria Chondrogiorgi; Athina Tatsioni; H. Reichmann; Spyridon Konitsiotis
Dopamine agonists (DAs) are generally considered to be deprived of the highly dyskinetic effect of levodopa in Parkinsons disease (PD) patients. However, the risk for dyskinesia induced by DA monotherapy and the contribution of clinically significant factors in the development of this disorder have never been systematically assessed.
International Journal of Neuroscience | 2016
Maria Chondrogiorgi; Loukia C. Tzarouchi; Anastasia Zikou; Loukas G. Astrakas; Paraskevi Kosta; Maria I. Argyropoulou; Spiridon Konitsiotis
Purpose of the study: The multimodal imaging investigation of excessive daytime sleepiness (EDS) in Parkinsons disease (PD). The role of dopaminergic treatment and other clinical parameters was also evaluated. Materials and methods: Seventeen non-demented PD patients with EDS (PD-EDS) and 17 PD patients without EDS were enrolled. Clinical, treatment and MRI data were acquired. Gray matter (GM) volume was examined with voxel-based morphometry, while white matter (WM) integrity was assessed with diffusion tensor imaging by means of fractional anisotropy, mean diffusivity, axial diffusivity (AD) and radial diffusivity measures. Results: Increased regional GM volume was found in the PD-EDS group bilaterally in the hippocampus and parahippocampal gyri. Increased AD values were also shown in the PD-EDS group, in the left anterior thalamic radiation and the corticospinal tract and bilaterally in the superior corona radiata and the superior longitudinal fasciculus. Levodopa equivalent dose differed significantly between the groups and was the only predictor of EDS, while the only predictor of the Epworth sleepiness scale score in the PD-EDS group was the dopamine-agonist dose. Increased frequency of gamblers was also observed in the PD-EDS group. Conclusions: Regional GM increases and increased AD values in certain WM tracts were found in the PD-EDS group. The changes could result from disinhibited signaling pathways or represent compensatory changes in response to anatomical or functional deficits elsewhere. The study findings support also the contribution of the total dopaminergic load in the development of EDS, while the dose of dopamine agonists was found to predict the severity of the disorder.
international conference of the ieee engineering in medicine and biology society | 2016
George Rigas; Dimitris Gatsios; Dimitrios I. Fotiadis; Maria Chondrogiorgi; Christos Tsironis; Spyridon Konitsiotis; Giovanni Gentile; Andrea Marcante; Angelo Antonini
In this paper, a method for the assessment of the Unified Parkinson Disease Rating scale (UPDRS) related to tremor is presented. The method described consists of hand resting and posture state detection, tremor detection and tremor quantification based on accelerometer and gyroscope readings from a wrist worn sensor. The initial results on PD patient recordings on home environment indicate the feasibility of the proposed method in monitoring UPDRS tremor in patient home environment.
international conference of the ieee engineering in medicine and biology society | 2016
Jorge Cancela; Samanta Villanueva Mascato; Dimitrios A. Gatsios; George Rigas; Andrea Marcante; Giovanni Gentile; Roberta Biundo; Manuela Giglio; Maria Chondrogiorgi; Robert Vilzmann; Spiros Konitsiotis; Angelo Antonini; María Teresa Arredondo; Dimitrios I. Fotiadis
Parkinsons disease (PD) is a complex, chronic disease that many patients live with for many years. In this work we propose a mHealth approach based on a set of unobtrusive, simple-in-use, off-the-self, co-operative, mobile devices that will be used for motor and non-motor symptoms monitoring and evaluation, as well as for the detection of fluctuations along with their duration through a waking day. Ideally, a multidisciplinary and integrated care approach involving several professionals working together (neurologists, physiotherapists, psychologists and nutritionists) could provide a holistic management of the disease increasing the patients independence and Quality of Life (QoL). To address these needs we describe also an ecosystem for the management of both motor and non-motor symptoms on PD facilitating the collaboration of health professionals and empowering the patients to self-manage their condition. This would allow not only a better monitoring of PD patients but also a better understanding of the disease progression.
The Neurohospitalist | 2018
Aristeidis H. Katsanos; Chrissa Sioka; Maria Chondrogiorgi; Athanasios Papadopoulos; Andreas Fotopoulos; Athanassios P. Kyritsis; Vasileios Ragos
Even though different imaging modalities are available in sole or in combination for the optimal detection of bone metastases, whole-body bone scintigraphy (BS) in a single session seems to be advantageous. We present an 80-year-old male with unilateral left hypoglossal nerve palsy (HNP) and no other focal deficits on neurological examination. Initial brain computed tomography (CT) scan revealed no pathological findings, while the subsequent cranial CT and magnetic resonance imaging (MRI) scans uncovered only mild nonspecific sclerotic lesions in left occipital condyle. All laboratory examinations were within normal limits, except for an elevated alkaline phosphatase (170 U/L) and a markedly increased prostate-specific antigen (609 ng/mL). The patient underwent whole-body BS with technetium-99m that revealed increased radiotracer deposition compatible with metastases in multiple foci, including the left occipital condyle. Prostate biopsy confirmed the diagnosis of prostate adenocarcinoma. Our case suggests that a complete and thorough workup for hidden malignancies should be performed in all patients with HNP, even in the absence of a finding in brain neuroimaging. Bone scintigraphy is an essential investigation that should be considered in uncertain cases of HNP, and especially in those with negative CT and MRI scans.
Brain Imaging and Behavior | 2018
Maria Chondrogiorgi; Loukas G. Astrakas; Anastasia Zikou; Luca Weis; Vassilios Xydis; Angelo Antonini; Maria I. Argyropoulou; Spiridon Konitsiotis
The purpose of the present study was to investigate the pattern of white matter (WM) changes associated with Parkinson’s disease (PD)-related cognitive impairment by using fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD) measures. Diffusion Tensor Imaging (DTI) was performed in 21 PD-patients with dementia (PDD) and in an age-matched control group including 40 PD-patients without dementia (PD-CTRL). The Parkinson’s disease-Cognitive Rating Scale (PD-CRS) was used for patients’ neuropsychological assessment. Local microstructural WM differences associated with the presence of cognitive impairment were tested using tract-based spatial statistics analysis. Multiple regression models investigated the association of DTI indices with total PD-CRS score, PD-CRS raw items and other clinical measures across the whole study sample. Significant FA decreases were found in PDD compared to PD-CTRL patients mainly in the body of corpus callosum, corona radiata and cingulum. Lower PD-CRS score was significantly associated with decreased FA, MD and AD values in multiple WM tracts primarily located in prefrontal and limbic areas as well as across the corpus callosum. Lower performance in specific PD-CRS raw items was also associated with FA decreases in major WM tracts. The results suggest that multifocal microstructural changes of WM accompany the transition from normal to demented cognitive state in PD-patients. The corpus callosum, the corona radiata and the cingulum are among the regions mostly affected during this course. A progressive axonal degeneration is proposed as a key underlying mechanism.
international conference of the ieee engineering in medicine and biology society | 2016
Vasilios C. Protopappas; Konstantinos Tsiouris; Maria Chondrogiorgi; Christos Tsironis; Spiros Konitsiotis; Dimitrios I. Fotiadis
The ALZCARE project aims at assisting people at risk or already suffering of dementia, their family and health professionals in the dementia care pathway by providing an integrated ICT-enabled information System. The system consists of a mobile platform for screening people at risk, a Clinical Information System and a satellite-based patient tracking system. The system is currently on the evaluation phase focusing on addressing the needs of citizens of the cross-border areas of Greece and Albania.
Computer Methods and Programs in Biomedicine | 2013
Evanthia E. Tripoliti; Alexandros T. Tzallas; Markos G. Tsipouras; George Rigas; Panagiota Bougia; Michael Leontiou; Spiros Konitsiotis; Maria Chondrogiorgi; Sofia Tsouli; Dimitrios I. Fotiadis
Sensors | 2014
Alexandros T. Tzallas; Markos G. Tsipouras; Georgios Rigas; Dimitrios G. Tsalikakis; Evaggelos C. Karvounis; Maria Chondrogiorgi; Fotis Psomadellis; Jorge Cancela; Matteo Pastorino; María Teresa Arredondo Waldmeyer; Spiros Konitsiotis; Dimitrios I. Fotiadis