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“Dry mouth” and “Flammer” syndromes—neglected risks in adolescents and new concepts by predictive, preventive and personalised approach

Overview of attention for article published in EPMA Journal, August 2018
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Title
“Dry mouth” and “Flammer” syndromes—neglected risks in adolescents and new concepts by predictive, preventive and personalised approach
Published in
EPMA Journal, August 2018
DOI 10.1007/s13167-018-0145-7
Pubmed ID
Authors

Analtoly Kunin, Jiri Polivka, Natalia Moiseeva, Olga Golubnitschaja

Abstract

"Dry mouth" syndrome (chronic hyposalivation) can be caused by a number of pathophysiological conditions such as acute and chronic stress exposure, abnormal body weight (both too high and too low ones), eating disorders (such as anorexia nervosa), metabolic syndrome(s), Sjögren's and Sicca syndromes, drugs and head/neck radiotherapy application. In turn, the chronic hyposalivation as a suboptimal health condition significantly reduces quality of life, may indicate a systemic dehydration, provokes and contributes to a number of pathologies such as a strongly compromised protection of the oral cavity, chronic infections and inflammatory processes, periodontitis, voice and digestive disorders. Consequently, "dry mouth" syndrome might be extremely useful as an indicator for an in-depth diagnostics of both-co-existing and snowballing health-threating conditions. However, predictive diagnostics, targeted prevention and personalisation of treatments are evidently underdeveloped for individuals at high risk suffering from the "dry mouth" syndrome. In the current study, we have hypothesised that individuals demonstrating "Flammer syndrome" (FS) phenotype may suffer from the "dry mouth" syndrome more frequently, due to disturbed microcirculation, psychological factors (obsessional personality/perfectionism), and diminished feeling of thirst with consequently insufficient daily liquid intake potentially resulting in the systemic dehydration with individually pronounced level of severity. If confirmed, FS phenotyping linked to the chronic hyposalivation might be predictive for individuals at risk identified by innovative screening programmes. To verify the working hypothesis, healthy individuals (negative control group) versus individuals with evident hyposalivation as well as patients diagnosed with periodontitis (positive control group) observed and treated at the dental clinic were investigated. The degree to which an individual is affected by hyposalivation was determined by the Bother xerostomia Index utilising a questionnaire of 10 issue-specific items and monitoring of a typically matt roof of the mouth in dental practice. An extent to which individuals included in the study are the carriers of the FS phenotype was estimated by the specialised 15-item questionnaire. For both-the target group (hyposalivation) and positive control group (periodontitis)-FS phenotype was demonstrated to be more specific compared to the disease-free (negative control) group. Moreover, self-reports provided by interviewed adolescents of the target group frequently recorded remarkable discomfort related to "dry mouth" syndrome, acute and chronic otorhinolaryngological infections and even delayed wound healing. Further, interviewed adolescents do worry about the symptoms which might be indicative for potential diseases; they are also amazed that too little attention is currently paid to the issue by caregivers. In conclusion, FS questionnaire linked to the "dry mouth" syndrome is strongly recommended for application in primary healthcare. Consequently, targeted preventive measures can be triggered early in life. For example, traditional, complementary and alternative medicine demonstrates positive therapeutic effects in individuals suffering from xerostomia. For in-depth diagnostics, epi/genetic regulations involved into pathophysiologic mechanisms of hyposalivation in FS-affected individuals should be thoroughly investigated at molecular level. Identified biomarker panels might be of great clinical utility for predictive diagnostics and patient stratification that, further, would sufficiently improve personalised care to the patient.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 116 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 14%
Student > Ph. D. Student 15 13%
Student > Bachelor 15 13%
Researcher 6 5%
Student > Postgraduate 5 4%
Other 15 13%
Unknown 44 38%
Readers by discipline Count As %
Medicine and Dentistry 29 25%
Psychology 17 15%
Nursing and Health Professions 10 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Sports and Recreations 2 2%
Other 9 8%
Unknown 47 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 September 2018.
All research outputs
#18,831,119
of 23,999,200 outputs
Outputs from EPMA Journal
#241
of 318 outputs
Outputs of similar age
#243,460
of 334,491 outputs
Outputs of similar age from EPMA Journal
#4
of 6 outputs
Altmetric has tracked 23,999,200 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 318 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 334,491 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.