Effects of the Co-occurrence of Diabetes Mellitus and Tooth Loss on Cognitive Function

Objective: Both diabetes mellitus (DM) and poor oral health are common chronic conditions and risk factors of Alzheimer’s disease and related dementia among older adults. This study assessed the effects of DM and complete tooth loss (TL) on cognitive function, accounting for their interactions. Methods: Longitudinal data were obtained from the 2006, 2012, and 2018 waves of the Health and Retirement Study. This cohort study included 7,805 respondents aged 65 years or older with 18,331 person-year observations. DM and complete TL were self-reported. Cognitive function was measured by the Telephone Interview for Cognitive Status. Random-effect regressions were used to test the associations, overall and stratified by sex. Results: Compared with older adults without neither DM nor complete TL, those with both conditions (b = -1.35, 95% confidence interval [CI]: -1.68, -1.02), with complete TL alone (b = -0.67, 95% CI: -0.88, -0.45), or with DM alone (b = -0.40, 95% CI: -0.59, -0.22), had lower cognitive scores. The impact of having both conditions was significantly greater than that of having DM alone (p < .001) or complete TL alone (p = 0.001). Sex-stratified analyses showed the effects were similar in males and females, except having DM alone was not significant in males. Conclusion: The co-occurrence of DM and complete TL poses an additive risk for cognition. Healthcare and family-care providers should pay attention to the cognitive health of patients with both DM and complete TL. Continued efforts are needed to improve older adults’ access to dental care, especially for individuals with DM.

Effects of the Co-Occurrence of Diabetes and Tooth Loss on Cognitive Function

Using data from the 2006, 2012, and 2018 waves of the Health and Retirement Study, we estimated effects of co-occurrence of diabetes mellitus (DM) and complete tooth loss (CTL), both self-reported, on cognitive function among 10,816 adults age 50+. Cognitive function was measured using a shortened version of the Telephone Interview for Cognitive Status. Results from the fixed effects linear regression model show that in comparison to those with neither condition, adults having both DM and CTL had the worst cognitive function (b = 1.49, p &lt; 0.001), followed by having CTL alone (b = 0.78, p &lt; 0.001), and having DM alone (b = 0.42, p &lt; 0.001). Our study suggests that CTL is a stronger risk factor for lower cognitive function than DM, and the co-occurrence of DM and CTL poses additive risk. Further research is needed to investigate the pathway from DM and CTL to poor cognition.

Heterogeneity of depression across the socioeconomic spectrum

Why is low socioeconomic status associated with high rates of depression? And, is the surplus of depression at lower SES just more of the same type as depression found at higher levels, or distinctive? We addressed these questions by examining the relations among SES, amygdala volume and symptoms of depression in healthy young adults. Amygdala volume, a risk factor for depression, does not synergize with SES in a diathesis-stress relation, nor does it mediate the relation of SES to depression. Rather, SES and amygdala volume are independent, additive risk factors. They are also associated with different depression symptoms and, whereas perceived stress fully mediates the relation of SES to depression, it has no relation to amygdala volume. These findings suggest heterogeneity of depression across the socioeconomic spectrum, with implications for treatment selection as well as for future genetic and imaging studies.

The partly parametric and partly nonparametric additive risk model

Aalen’s linear hazard rate regression model is a useful and increasingly popular alternative to Cox’ multiplicative hazard rate model. It postulates that an individual has hazard rate function $$h(s)=z_1\alpha _1(s)+\cdots +z_r\alpha _r(s)$$ h ( s ) = z 1 α 1 ( s ) + ⋯ + z r α r ( s ) in terms of his covariate values $$z_1,\ldots ,z_r$$ z 1 , … , z r . These are typically levels of various hazard factors, and may also be time-dependent. The hazard factor functions $$\alpha _j(s)$$ α j ( s ) are the parameters of the model and are estimated from data. This is traditionally accomplished in a fully nonparametric way. This paper develops methodology for estimating the hazard factor functions when some of them are modelled parametrically while the others are left unspecified. Large-sample results are reached inside this partly parametric, partly nonparametric framework, which also enables us to assess the goodness of fit of the model’s parametric components. In addition, these results are used to pinpoint how much precision is gained, using the parametric-nonparametric model, over the standard nonparametric method. A real-data application is included, along with a brief simulation study.

High Fibrosis-4 Index Is Related with Worse Clinical Outcome in Patients with Coronavirus Disease 2019 and Diabetes Mellitus: A Multicenter Observational Study

Background: Based on recent evidence on the importance of the presence of diabetes mellitus (DM) and fibrosis-4 (FIB-4) index in coronavirus disease 2019 (COVID-19) mortality, we analyzed whether these factors could additively predict such mortality.Methods: This multicenter observational study included 1,019 adult inpatients admitted to university hospitals in Daegu. The demographic and laboratory findings, mortality, prevalence of severe disease, and duration of quarantine were compared between patients with and without DM and/or a high FIB-4 index. The mortality risk and corresponding hazard ratio (HR) were analyzed using the Kaplan-Meier method and Cox proportional hazard models.Results: The patients with DM (n=217) exhibited significantly higher FIB-4 index and mortality compared to those without DM. Although DM (HR, 2.66; 95% confidence interval [CI], 1.63 to 4.33) and a high FIB-4 index (HR, 4.20; 95% CI, 2.21 to 7.99) were separately identified as risk factors for COVID-19 mortality, the patients with both DM and high FIB-4 index had a significantly higher mortality (HR, 9.54; 95% CI, 4.11 to 22.15). Higher FIB-4 indices were associated with higher mortality regardless of DM. A high FIB-4 index with DM was more significantly associated with a severe clinical course with mortality (odds ratio, 11.24; 95% CI, 5.90 to 21.41) than a low FIB-4 index without DM, followed by a high FIB-4 index alone and DM alone. The duration of quarantine and hospital stay also tended to be longer in those with both DM and high FIB-4 index.Conclusion: Both DM and high FIB-4 index are independent and additive risk factors for COVID-19 mortality.

Asystole Following Concomitant Intravenous Administration of Neostigmine and Dexmedetomidine in a Patient With Acute Colonic Pseudo-Obstruction

Acute colonic pseudo-obstruction (ACPO) is a condition characterized by acute dilation of the large bowel without evidence of mechanical obstruction that occurs in a variety of hospitalized patients with many predisposing factors. Management includes supportive care and limitation of offending medications with mainstays of treatment of neostigmine administration and colonic decompression. We report the case of a critically ill patient with ACPO who experienced bradycardia and a brief episode of asystole when receiving concomitant dexmedetomidine and neostigmine infusions but who later remained hemodynamically stable when receiving propofol and neostigmine infusions. The bradycardia and associated hemodynamic instability experienced while on dexmedetomidine and neostigmine infusions were rapidly corrected with atropine and cessation of offending agents. Because ACPO is encountered frequently and the use of dexmedetomidine as a sedative agent in the ICU is increasing, practitioners should be aware of the additive risk of bradycardia and potential for asystole with the combination of neostigmine and dexmedetomidine. Electronic drug interaction databases should be updated and drug information sources should include a drug-drug interaction between dexmedetomidine and neostigmine to reduce the likelihood of concomitant administration.

Mild Behavioral Impairment and Subjective Cognitive Decline Predict Cognitive and Functional Decline

Background: Mild behavioral impairment (MBI) and subjective cognitive decline (SCD) are dementia risk states, and potentially represent neurobehavioral and neurocognitive manifestations, respectively, of early stage neurodegeneration. Both MBI and SCD predict incident cognitive decline and dementia, are associated with known dementia biomarkers, and are both represented in the NIA-AA research framework for AD in Stage 2 (preclinical disease). Objective: To assess the associations of MBI and SCD, alone and in combination, with incident cognitive and functional decline in a population of older adults. We tested the hypothesis that MBI and SCD confer additive risk for decline. Methods: Cognitively normal participants were followed up annually at Alzheimer’s Disease Centers. Logistic regression assessed the relationship between baseline classification (MBI-SCD-, MBI-SCD+, MBI+SCD-, or MBI+SCD+) and 3-year outcome. Results: Of 2,769 participants (mean age=76), 1,536 were MBI-SCD-, 254 MBI-SCD+, 743 MBI+SCD-, and 236 MBI+SCD+. At 3 years, 349 (12.6%) declined to CDR >0, including 23.1% of the MBI+group, 23.5% of the SCD+group, and 30.9% of the intersection group of both MBI+and SCD+participants. Compared to SCD-MBI-, we observed an ordinal progression in risk (ORs [95% CI]): 3.61 [2.42–5.38] for MBI-SCD+ (16.5% progression), 4.76 [3.57–6.34] for MBI+SCD- (20.7%), and 8.15 [5.71–11.64] for MBI+SCD+(30.9%). Conclusion: MBI and SCD together were associated with the greatest risk of decline. These complementary dementia risk syndromes can be used as simple and scalable methods to identify high-risk patients for workup or for clinical trial enrichment.