Association between tooth loss, chronic conditions and common risk factors – results from the 2019 brazilian health survey

Thyroid cancer is the most frequent endocrine neoplasm in the general population. Common risk factors include gender, radiation exposure, and genetic backgrounds. The association of papillary thyroid cancer and celiac disease has frequently been reported in the literature; however, the association of papillary thyroid cancer and thalassemia trait is rare. Likewise, the association of thalassemia major and celiac disease is also rare. We hereby report a unique case of papillary thyroid cancer in a patient with celiac disease and thalassemia trait.

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Longitudinal relationship of diabetes and depressive symptoms in older adults from Mexico: a secondary data analysis

BMJ Open Diabetes Research & Care ◽

10.1136/bmjdrc-2020-001789 ◽

2020 ◽

Vol 8 (2) ◽

pp. e001789

Author(s):

Teresa Alvarez-Cisneros ◽

Paloma Roa-Rojas ◽

Carmen Garcia-Peña

Keyword(s):

Risk Factors ◽

Older Adults ◽

Depressive Symptoms ◽

Secondary Data ◽

Random Effects Models ◽

Health Factors ◽

Longitudinal Association ◽

Common Risk Factors ◽

Nationally Representative ◽

Relationship Of

IntroductionSeveral studies have argued a causal relationship between diabetes and depression, while others have highlighted that their association is a result of common risk factors. Because Mexico is a country with a high prevalence of diabetes, and diabetes and depression are a frequent comorbidity, we chose this country to investigate the longitudinal relationship of these two conditions, focusing on the influence of demographic, health, and socioeconomic factors which could act as common risk factors for both conditions.Research design and methodsUsing the harmonized Mexican Health and Aging Study, a nationally representative sample of adults older than 50 with a response rate of 93%, we analyzed the longitudinal relationship of diabetes and depressive symptoms using ‘between-within’ random-effects models, focusing on the effect of demographic, socioeconomic and health factors.ResultsWhile older adults with diabetes reported a higher prevalence of depressive symptoms in the four waves of the study, there was no causal longitudinal association between them once controlling for demographic, socioeconomic and health factors (between-effect OR=0.88, 95% CI 0.77 to 1.01; within-effect OR=0.87, 95% CI 0.69 to 1.11).ConclusionsThere is no causal longitudinal association between diabetes and depression; the higher prevalence of depression among older adults with diabetes seems a result of socioeconomic and health factors that are not exclusive to respondents with diabetes but are more frequent in this group. Our results highlight the importance of prevention and control of chronic conditions as well as the role of socioeconomic inequalities in mental health.

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The common risk factors for progression and mortality in COVID-19 patients: a meta-analysis

Archives of Virology ◽

10.1007/s00705-021-05012-2 ◽

2021 ◽

Author(s):

Li Zhang ◽

Jie Hou ◽

Fu-Zhe Ma ◽

Jia Li ◽

Shuai Xue ◽

...

Keyword(s):

Risk Factors ◽

Meta Analysis ◽

Common Risk Factors ◽

The Common

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Development of a prognostic tool: based on risk factors for tooth loss after active periodontal therapy

Clinical Oral Investigations ◽

10.1007/s00784-021-04060-x ◽

2021 ◽

Author(s):

Sonja Rahim-Wöstefeld ◽

Dorothea Kronsteiner ◽

Shirin ElSayed ◽

Nihad ElSayed ◽

Peter Eickholz ◽

...

Keyword(s):

Risk Factors ◽

Decision Making ◽

Tooth Loss ◽

Treatment Plan ◽

Periodontal Therapy ◽

Outcome Variable ◽

Individual Treatment ◽

Risk Indicator ◽

Related Factors ◽

Prognostic Tool

Abstract Objectives The aim of this study was to develop a prognostic tool to estimate long-term tooth retention in periodontitis patients at the beginning of active periodontal therapy (APT). Material and methods Tooth-related factors (type, location, bone loss (BL), infrabony defects, furcation involvement (FI), abutment status), and patient-related factors (age, gender, smoking, diabetes, plaque control record) were investigated in patients who had completed APT 10 years before. Descriptive analysis was performed, and a generalized linear-mixed model-tree was used to identify predictors for the main outcome variable tooth loss. To evaluate goodness-of-fit, the area under the curve (AUC) was calculated using cross-validation. A bootstrap approach was used to robustly identify risk factors while avoiding overfitting. Results Only a small percentage of teeth was lost during 10 years of supportive periodontal therapy (SPT; 0.15/year/patient). The risk factors abutment function, diabetes, and the risk indicator BL, FI, and age (≤ 61 vs. > 61) were identified to predict tooth loss. The prediction model reached an AUC of 0.77. Conclusion This quantitative prognostic model supports data-driven decision-making while establishing a treatment plan in periodontitis patients. In light of this, the presented prognostic tool may be of supporting value. Clinical relevance In daily clinical practice, a quantitative prognostic tool may support dentists with data-based decision-making. However, it should be stressed that treatment planning is strongly associated with the patient’s wishes and adherence. The tool described here may support establishment of an individual treatment plan for periodontally compromised patients.

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Swāsthya, an integrated chronic condition management programme for families of patients with hypertension and diabetes mellitus: a study protocol for a randomised controlled trial

BMC Family Practice ◽

10.1186/s12875-020-01357-w ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

M D Saju ◽

Bindiya M Varghese ◽

Lorane Scaria ◽

Anuja Maria Benny ◽

Shilpa V Yohannan ◽

...

Keyword(s):

Diabetes Mellitus ◽

Risk Factors ◽

Randomised Controlled Trial ◽

Social Cohesion ◽

Chronic Conditions ◽

Chronic Condition ◽

Controlled Trial ◽

Risk Groups ◽

Care Model ◽

Randomised Controlled

Abstract Background Kerala is known as the diabetes mellitus (DM) and hypertension (HTN) capital of the world, thus compelling health professionals to model strategies, addressing their social, behavioural, and cognitive risk factors and eliminating various barriers to management. This paper describes the protocol of our study that aims to examine the effectiveness and sustainability of an integrated care model for the management of chronic conditions and their risk factors through a family-based intervention. The proposed care model targets to modify systems and processes that predispose to chronic conditions by enhancing social cohesion and social networks, preventing lifestyle risks, developing iterative cognitive interventions, and engaging the family into customised treatment adherence strategies navigated by community health social workers (CHSWs). Methods A cluster randomised controlled trial (RCT) in selected participants will be conducted involving additional assessments prior to the baseline assessment. The assessment will identify and categorise patients into four risk groups, namely behavioural, social, cognitive, and multiple, based on dominant risks identified. Eligible participants will be randomly allocated (at a ratio of 1:1) into the intervention or control arm. The intervention arm will receive social, behavioural, and cognitive or multiple interventions corresponding to the identified risk groups, whereas the control arm will receive general intervention. Both the groups will be followed up at 6 months and 12 months post baseline to measure outcomes. The primary outcome will be the control of HTN and DM, and secondary outcomes include decreased depression and anxiety and improved functioning, social cohesion, and social network linkages. The sustainability and scalability of this intervention will be assessed through cost effectiveness, acceptability, and user friendliness of the integrated approach by performing a qualitative evaluation. Discussion This RCT will inform the potential paradigm shift from a medical model of chronic condition management to a multidimensional, multisystem, and multidisciplinary convergence model navigated by CHSWs. Such a model is not currently considered in the management of chronic conditions in Kerala. Trial registration Trial has been prospectively registered on Clinical Trial Registry of India- CTRI/2020/12/029474 on 1st December 2020.

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Risk factors for tooth loss with a mean follow-up period of 13.9 years in supportive periodontal therapy patients

BMC Oral Health ◽

10.1186/s12903-021-01573-5 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Tomotaka Kato ◽

Natsuki Fujiwara ◽

Tomohisa Ogawa ◽

Yukihiro Numabe

Keyword(s):

Risk Factors ◽

Tooth Loss ◽

Periodontal Therapy ◽

Dental Hygienists ◽

Multiple Classification Analysis ◽

Hazard Ratios ◽

Dental Office ◽

Multiple Classification ◽

Supportive Periodontal Therapy

Abstract Background Clinical evidence indicates that there are various risk factors of tooth loss. However, the degree of this risk among other risk factors remains unclear. In this retrospective cohort study, the authors evaluated the hazard ratios of several risk factors for tooth loss. Methods Included patients had all been treated for dental disorders, were in the supportive phase of periodontal therapy by dental hygienists, and visited a Japanese dental office continually during a 10-year period. Periodontal parameters, tooth condition, and general status of all teeth (excluding third molars) at the initial visit and at least 10 years later were evaluated by using multiple classification analysis. Results The authors evaluated a total of 7584 teeth in 297 patients (average age: 45.3, mean follow-up time: 13.9 years) Non-vital pulp was the most significant predictor of tooth loss according to Cox hazards regression analysis (hazard ratio: 3.31). The 10-year survival rate was approximately 90% for teeth with non-vital pulp and 99% for teeth with vital pulp. Fracture was the most common reason for tooth loss. Conclusions Non-vital pulp had the most significant association with tooth loss among the parameters. Therefore, it is very important to minimize dental pulp extirpation.

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