JDR Clinical & Translational Research最新文献

Background: Treatment for head and neck cancer (HNC) such as radiotherapy (RT) can lead to numerous acute and chronic head and neck sequelae, including dental caries. The goal of the present study was to measure 2-y changes in dental caries after radiotherapy in patients with HNC and test risk factors for caries increment.

Methods: Cancer and dental disease characteristics, demographics, and oral health practices were documented before and 6, 12, 18, and 24 mo after the start of RT for 572 adult patients with HNC. Patients were eligible if they were age 18 y or older, diagnosed with HNC, and planned to receive RT for treatment of HNC. Caries prevalence was measured as decayed, missing, and filled surfaces (DMFS). The association between change in DMFS and risk factors was evaluated using linear mixed models.

Results: On average, DMFS increased from baseline to each follow-up visit: 6 mo, +1.11; 12 mo, +2.47; 18 mo, +3.43; and 24 mo, +4.29 (P < 0.0001). The increase in DMFS during follow-up was significantly smaller for the following patient characteristics: compliant with daily fluoride use (P = 0.0004) and daily oral hygiene (brushing twice daily and flossing daily; P = 0.015), dental insurance (P = 0.004), and greater than high school education (P = 0.001). DMFS change was not significantly associated with average or maximum RT dose to the parotids (P > 0.6) or salivary flow (P > 0.1). In the subset of patients who had salivary hypofunction at baseline (n = 164), lower salivary flow at follow-up visits was associated with increased DMFS.

Conclusion: Increased caries is a complication soon after RT in HNC. Fluoride, oral hygiene, dental insurance, and education level had the strongest association with caries increment after radiotherapy to the head and neck region. Thus, intensive oral hygiene measures, including fluoride and greater accessibility of dental care, may contribute to reducing the caries burden after RT in HNC.

Knowledge transfer statement: The results of this study can be used by clinicians when deciding how to minimize oral complications related to cancer therapy for patients with head and neck cancer. Identification of modifiable factors (e.g., oral hygiene and prescription fluoride compliance) associated with increased caries risk can minimize radiation caries burden.

Knowledge transfer statement: This commentary highlights that effective implementation of best-practice oral health care in acute geriatric units is built on the time and relationship building invested in the preimplementation phase.

Knowledge transfer statement: The reported findings greatly consolidated evidence of detrimental effects of sugars intake on child oral health and overweight and obesity, some of the most prevalent chronic conditions in children. Evidence on population impact of sugars intake is directly informative to policy makers and the public about the potential impact of population-based programs targeting sugars intake to prevent dental caries and overweight and obesity.

Objective: Over the last 2 decades, investigations have demonstrated a decreased trend in the likelihood of osteoradionecrosis of the jaw (ORNJ) after extraction. The aim of this study was to explore the potential risk factors for ORNJ in irradiated head and neck cancer by using patients' electronic dental records (EDRs).

Methods: Patients diagnosed with head and neck cancer who had irradiation between January 2010 and December 2020 were included in this retrospective cohort analysis. Patient charts showing evidence of "head and neck cancer," "oral cancer," "radiotherapy," "radiation," and "oral complication" were identified by an informatics analyst querying the EDR. Subsequently, the charts were manually reviewed, and data quality was assessed on 3 dimensions: completeness, accuracy, and consistency. The patient, tumor, systemic condition/drug, oral condition, treatment/trauma, and radiation were all categorized as potential risk factors.

Results: A total of 359 patients were included. With the exception of radiation-related factors, we found that the data quality was generally sufficient to support the research. Multivariate logistic regression analysis demonstrated that the following factors were significant in predicting the occurrence of ORNJ development in irradiated head and neck cancer: smoking (odds ratio [OR], 9.0; 95% CI, 1.9 to 43.0; P = 0.006), steroid use (OR, 6.4; 95% CI, 1.3 to 30.8; P = 0.021), oral health status (OR, 23.7; 95% CI, 2.7 to 211.0; P = 0.005), and postirradiation extraction (OR, 3.8; 95% CI, 1.0 to 14.4; P = 0.050).

Conclusions: A 10-y retrospective analysis of data from an EDR revealed that smoking, steroid use, poor oral status, and postirradiation extraction are all factors linked to an increased risk of developing ORNJ. The quality of EDR data may be systematically assessed by determining the completeness, accuracy, and consistency of the underlying data. Radiation-related factors in particular were poorly documented, highlighting the need for collecting or incorporating this information into the EDR.

Knowledge transfer statement: EDRs can be used to identify risk factors for developing ORNJ in irradiated head and neck cancer and can help clinicians with selecting treatments by incorporating risk and complication considerations.

Introduction: Developmental disabilities (DDs), obesity, and dental caries are highly prevalent health conditions among adolescents. Evidence indicates that a significant proportion of adolescents with DDs are obese, and those with obesity and dental caries share common risk factors.

Objective: In this first-ever US-based cross-sectional national study, we assessed the likelihood of adolescents with DDs and obesity experiencing chronic difficulty with decayed teeth, toothaches, bleeding gums, and eating and swallowing due to a health condition among adolescents with DDs and obesity compared to adolescents with no DDs or obesity.

Methods: For this secondary data analysis study, we used data of 68,942 adolescents aged 10 to 17 y from the 2016 through 2019 National Survey of Children's Health. Weighted descriptive and bivariate analyses were conducted. Four multiple logistic regression models predicting chronic difficulty in the past 12 mo with decayed teeth, toothaches, bleeding gums, and eating and swallowing due to a health condition were conducted, controlling for other variables.

Results: The adjusted odds ratio (aOR) of experiencing chronic difficulty in the past 12 mo for adolescents with no DDs or obesity was significantly lower for decayed teeth (aOR, 0.64; 95% confidence interval [CI], 0.51-0.80; P < 0.0001), toothaches (aOR, 0.43; 95% CI, 0.30-0.60; P < 0.0001), bleeding gums (aOR, 0.48; 95% CI, 0.33-0.70; P < 0.0001), and eating or swallowing due to a health condition (aOR, 0.34; 95% CI, 0.20-0.57; P < 0.0001) compared to adolescents with both DDs and obesity.

Conclusions: Results from this study indicate that DD adolescents with obesity have more/greater impending oral health needs than adolescents with no DDs or obesity.

Knowledge transfer statement: Results of this study highlight the high oral health needs and the chronic difficulty adolescents with developmental disabilities and obesity experience compared to adolescents without developmental disabilities and obesity. Targeted oral health policies and interventions that will promote oral health among this high-risk group are recommended.

Introduction: Tooth extraction under general anesthetic (GA) is a global health problem. It is expensive, high risk, and resource intensive, and its prevalence and burden should be reduced where possible. Recent innovation in data analysis techniques now makes it possible to assess the impact of GA policy decisions on public health outcomes. This article describes results from one such technique called process mining, which was applied to dental electronic health record (EHR) data. Treatment pathways preceding extractions under general anesthetic were mined to yield useful insights into waiting times, number of dental visits, treatments, and prescribing behaviors associated with this undesirable outcome.

Method: Anonymized data were extracted from a dental EHR covering a population of 231,760 patients aged 0 to 16 y, treated in the Irish public health care system between 2000 and 2014. The data were profiled, assessed for quality, and preprocessed in preparation for analysis. Existing process mining methods were adapted to execute process mining in the context of assessing dental EHR data.

Results: Process models of dental treatment preceding extractions under general anesthetic were generated from the EHR data using process mining tools. A total of 5,563 patients who had 26,115 GA were identified. Of these, 9% received a tooth dressing before extraction with an average lag time of 6 mo between dressing and extraction. In total, 11,867 emergency appointments were attended by the cohort with 2,668 X-rays, 4,370 prescriptions, and over 800 restorations and other treatments carried out prior to tooth extraction.

Discussion and conclusions: Process models generated useful insights, identifying metrics and issues around extractions under general anesthetic and revealing the complexity of dental treatment pathways. The pathways showed high levels of emergency appointments, prescriptions, and additional tooth restorations ultimately unsuccessful in preventing extractions. Supporting earlier publications, the study suggested earlier screening, preventive initiatives, guideline development, and alternative treatments deserve consideration.

Knowledge transfer statement: This study generates insights into tooth extractions under general anesthetic using process mining technologies and methods, revealing levels of extraction and associated high levels of prescriptions, emergency appointments, and restorative treatments. These insights can inform dental planners assessing policy decisions for tooth extractions under general anesthetic. The methods used can be combined with costs and patient outcomes to contribute to more effective decision-making.

Knowledge transfer statement: By following best practices related to equity, diversity, and inclusion, oral health researchers may be able to advance the study of health equity, grow a diverse research workforce, and better respond to pressing public health problems.

Introduction: Markers of poor oral health are associated with impaired cognition and higher risk of Alzheimer disease (AD) and thus may help predict AD.

Objectives: The aim of this study was to evaluate the cross-sectional association between empirically derived groups of 19 IgG antibodies against periodontal microorganisms and cognition in middle-aged and older adults.

Methods: The study population consisted of participants of the third National Health and Nutrition Examination Survey (NHANES III) (1988 to 1994), who were 60 y and older, among whom cognition and IgG antibodies against 19 periodontal microorganisms were measured (N = 5,162).

Results: In multivariable quantile regression analyses, the Orange-Red (Prevotella melaninogenica, Prevotella intermedia, Prevotella nigrescens, Porphyromonas gingivalis) and Yellow-Orange (Staphylococcus intermedius, Streptococcus oralis, Streptococcus mutans, Fusobacterium nucleatum, Peptostreptococcus micros, Capnocytophaga ochracea) cluster scores were negatively associated with cognition. A 1-unit higher cluster score for the Orange-Red cluster was associated on average with a lower cognitive score (β for 30th quantile = -0.2640; 95% confidence interval [CI], -0.3431 to -0.1848). Similarly, a 1-unit higher score for the Yellow-Orange cluster was associated with a lower cognitive score (β for 30th quantile = -0.2445; 95% CI, -0.3517 to -0.1372).

Conclusion: Groups of IgG antibodies against periodontal microorganisms were associated with lower cognition among free living adults 60 years and older, who were previously undiagnosed with cognitive impairment. Though poor oral health precedes the development of dementia and AD, oral health information is currently not used, to our knowledge, to predict dementia or AD risk. Combining our findings with current algorithms may improve risk prediction for dementia and AD.

Knowledge translation statement: IgG antibodies against periodontal microorganisms were associated with lower cognition among adults 60 years and older previously undiagnosed with cognitive impairment. Periodontal disease may predict cognition among older adults.