Oral Symptoms and Oral Health-Related Quality of Life in People with Rare Diseases in Germany: A Cross-Sectional Study

Wiemann, Sabrina; Baudisch, Nicolas Frenzel; Jordan, Rainer A.; Kleinheinz, Johannes; Hanisch, Marcel

doi:10.3390/ijerph15071493

Cited by 18 publications

(28 citation statements)

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“…Parents and caregivers of individuals with MPS perceive this impact on OHRQoL, because the oral conditions of individuals with MPS are worse (hygiene, greater presence of malocclusion, greater experience with caries) than individuals without MPS. 7,14 According to the literature, GAGs progressively accumulate in bones, cartilage, muscles and ligaments, generating an inflammatory process and tissue damage that result in functional limitations and pain. 13,16,17,8 A study conducted in Norway involving 209 parents of children and adolescents (six to 18 years) with rare congenital disorders showed that health-related quality of life was lower among the children with rare disorders than children from the general population; the greatest reduction in quality of life was found for physical functioning, whereas the smallest was found for emotional functioning.…”

Section: Discussionmentioning

confidence: 99%

“…7 ,8,9,10,11 Oral health plays a fundamental role in the lives of individuals with MPS, as oral diseases may result in infection as well as nutritional, respiratory, chewing and speech problems, compounding their already severely weakened state of general health. 5,11,12,13,14 Oral health-related quality of life (OHRQoL) regards the impact of oral problems on aspects of daily living. 15 The magnitude of impact in terms of frequency, severity or duration can affect an individual's perception of his or her life in general.…”

Section: Introductionmentioning

confidence: 99%

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Oral health-related quality of life of young people with mucopolysaccharidosis: a paired cross-sectional study

et al. 2020

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The purpose of the present study was to compare the perceptions of the parents/ caregivers of young people with and without Mucopolysaccharidosis (MPS) with regards to their oral health-related quality of life (OHRQoL). A cross-sectional study was conducted with 29 individuals with MPS and 29 normotypic individuals aged three to 21 years and their parents/caregivers. All parents/caregivers of young people with MPS in follow-up at two reference hospitals in the city of Belo Horizonte, southeastern Brazil, were invited to participate in the study. Individuals without MPS were recruited from the pediatric clinics of both hospitals. Parents/caregivers answered a structured questionnaire addressing the sociodemographic characteristics, behavioral habits and medical and dental history of the children as well as the Brazilian shortform version of the Parental-Caregiver (P-CPQ). The individuals with and without MPS were examined for malocclusion, dental caries and oral hygiene by an examiner who had undergone training and calibration exercises. Mean age of the subjects was 12.1 years (± 4.2). Comparing total P-CPQ scores and scores on the oral symptoms, functional limitations and wellbeing domains, the parents/caregivers individuos with MPS reported a statistically significant greater negative impact on OS domain than their counterparts. Regarding the clinical variables, malocclusion was also associated a greater negative impact on OHRQoL of young people with MPS when compared to those of young people without MPS. Our findings show the great negative impact caused by the malocclusion of young people with MPS.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Oral health-related quality of life of young people with mucopolysaccharidosis: a paired cross-sectional study

et al. 2020

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“…Especially in patients with orthodontically relevant symptoms, such as dysgnathia or oligodontia, these not only can give a clue to the underlying disease, but also indicate serious impact on the oral health-related quality of life [21]. Research has also shown that patients with syndromic oligodontia which had not been linked to a rare disease in the first place reported substantially worse outcomes [22].…”

Section: Discussionmentioning

confidence: 99%

Orthodontically Relevant Manifestations in People with Rare Diseases

Hanisch

Kleinheinz

et al. 2019

Med Princ Pract

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Background: Approximately 15% of all rare diseases occur with orofacial manifestations. Symptoms and manifestations of relevance to orthodontists represent a considerable proportion of these diseases and require appropriate strategies for their treatment. This article provides an overview of the orthodontically relevant manifestations of rare diseases. Material and Methods: Overall, 3,639 rare diseases listed at the Orphanet, OMIM or Pubmed database were evaluated for orofacial manifestations. All rare diseases which were indicated with at least one orofacial manifestation were recorded in a database for rare diseases with orofacial manifestations called “ROMSE,” which was developed by the authors. All the rare diseases were analysed with regard to orthodontically relevant orofacial manifestations, such as dysgnathia, changes in the number of teeth, failures of eruption, pathologies of bone metabolism or orofacial clefts. For all rare diseases with orthodontic relevance, an exact analysis was undertaken. Results: The orthodontically relevant orofacial manifestation termed dysgnathia is described in 151 of 535 identified rare diseases (28.2%). In these 151 rare diseases, 15 different subforms of dysgnathia, in the sense of skeletal misdevelopments of the jaws but without dental abnormalities, were described. Also changes in the number of teeth (17.9%), orofacial clefts (27.6%), failures of eruption (8.4%) and pathologies of the bone (2.1%) were described. Conclusions: Orthodontics play an important role in the diagnosis and treatment of orofacial manifestations in rare diseases. Databases such as ROMSE are a first step toward providing valid information in publicly accessible databases.

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“…For this purpose, different researcher concentrates their work in the dental field to predict the oral disease in an earlier stage. Sabrina Wiemann et al, [18] were analyzing the oral health and hygiene to predict the various diseases from German people using clustering techniques. Initially, effective questionnaires are created, which is asked to the patient for collecting the dental information.…”

Section: Related Workmentioning

confidence: 99%

“…The created set consists of 484 questionnaires, which being examined in terms of applying the oral hygiene impact profile factor 14, and similar information are grouped using clustering techniques. In this work, [18] [20] were diagnosing oral cavity related autoimmune disease using clinical analysis. First, the dental information is collected with the help of dentists, which are fed into autoimmune pathologies to get the knowledge of the disease.…”

Section: Related Workmentioning

confidence: 99%

Predicting Neurological Disorders Linked to Oral Cavity Manifestations Using an IoMT-Based Optimized Neural Networks

et al. 2020

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Anatomically, oral cavity and central nervous system have a close relationship; the mouth and face are the location for 30-40% of the body's sensory and motor nerves. The identification of orofacial manifestations of neurological disorders is usually in direct relation with the responsibilities of a dental surgeon. Therefore, familiarizing dental surgeons with theses manifestations is essential to have better recognition, diagnosis, and correct decisions upon treating their associated Neurological Disorders. These manifestations should be efficiently analyzed using novel effective techniques since their related neurological disorders need to be early identified to avoid serious consequences. Furthermore, preventive dental care for patients with neurological disorders and all kind of rehabilitative treatments necessitates well-planned and effective novel approaches. The Internet of Medical Thing (IoMT) is a relatively new technology that has revolutionized health care sector drastically since last decade. It's a combination of medical sensors and wearable devices that can connect to health care storage systems via networking technologies allowing the transfer of medical data over a secure network. The data transferred are of utmost importance in diseases diagnosis and treatment. In this paper, an IoMT-based Intelligent Guided Particle Local Search with Optimized Neural Networks (IGPLONN) approach is proposed. Firstly, dental data are collected from the International Collaboration on Cancer Reporting (ICCR) oral cavity and central nervous system. Secondly, features are extracted from data and IGPLONN algorithm is utilized to select the effective features by minimizing the feature dimension that helps improve the overall prediction rate. Finally, the obtained features are transferred to the central health application through the IoMT platform where they can be analyzed by dental practitioners for neurological disorders prediction. The hybrid optimized technique improves the overall oral-linked neurological diseases detection rate. Moreover, it efficiently manages the forecast parameters that are used to predict the dental metastasis with minimum computational complexity. The performance of the proposed system has been experimentally evaluated on MATLAB to verify its excellence. The results revealed that proposed IoMT-based IGPLONN method attains the maximum accuracy of 98.3% compared to other methods. INDEX TERMS Oral cavity, neurological disorder, central nervous system, intelligent guided particle local search algorithm, neural network, Internet of Medical Things (IoMT).

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Oral Symptoms and Oral Health-Related Quality of Life in People with Rare Diseases in Germany: A Cross-Sectional Study

Cited by 18 publications

References 28 publications

Oral health-related quality of life of young people with mucopolysaccharidosis: a paired cross-sectional study

Oral health-related quality of life of young people with mucopolysaccharidosis: a paired cross-sectional study

Orthodontically Relevant Manifestations in People with Rare Diseases

Predicting Neurological Disorders Linked to Oral Cavity Manifestations Using an IoMT-Based Optimized Neural Networks

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