Gestational diabetes mellitus is associated with greater incidence of dementia during long-term post-partum follow-up.

BACKGROUND: The impact of gestational diabetes mellitus (GDM) on incident dementia is unknown. Our aim was to evaluate the relationship between GDM and all-cause dementia and the mediating effects of chronic diseases on this relationship. METHODS: This prospective cohort study included women from the UK Biobank who were grouped based on GDM history. Multivariate Cox proportional hazard models were used to explore the associations between GDM and dementia. We further analysed the mediating effects of chronic diseases on this relationship and the interactions of covariates. RESULTS: A total of 1292 women with and 204,171 women without a history of GDM were included. During a median follow-up period of 45 years after first birth, 2921 women were diagnosed with dementia. Women with a GDM history had a 67% increased risk of incident dementia (hazard ratio 1.67, 95% confidence interval: 1.03-2.69) compared with those without a GDM history. According to mediation analyses, type 2 diabetes, coronary heart disease, chronic kidney disease and comorbidities (diagnosed with any two of the three diseases) explained 34.5%, 8.4%, 5.2% and 18.8% of the mediating effect on the relationship. Subgroup analyses revealed that physical activity modified the association between GDM history and dementia (p for interaction = 0.030). Among physically inactive women, GDM was significantly associated with incident dementia; however, this association was not observed among physically active women. CONCLUSIONS: A history of GDM was associated with a greater risk of incident dementia. Type 2 diabetes partially mediated this relationship. Strategies for dementia prevention might be considered for women with a history of GDM.

Associations between onset age of orthostatic hypotension and incident myocardial infarction, stroke, and dementia: a prospective cohort study.

BACKGROUND: The associations of age at orthostatic hypotension onset with incident myocardial infarction (MI), stroke, and dementia remain unknown. This study aimed to examine whether younger onset age of orthostatic hypotension was associated with higher risks of incident MI, stroke, and dementia. METHODS: Data were obtained from the UK Biobank. Information on the diagnosis of orthostatic hypotension, MI, stroke, and dementia was collected at baseline (2006-2010) and follow-ups (median=13 years). The propensity score matching method and the Cox proportional hazard models were employed. RESULTS: A total of 448 374 adults (mean age: 56.8±8.1 years), of whom 3795 had orthostatic hypotension, were included. orthostatic hypotension patients exhibited higher risks of developing MI, stroke, and dementia than non-orthostatic hypotension participants. Importantly, among orthostatic hypotension patients, younger onset age (per 10-year decrement) was significantly associated with high risks of MI (HR=3.15, 95% CI: 2.54 to 3.90, P<0.001), stroke (HR=1.72, 95% CI: 1.33 to 2.23, P<0.001), and dementia (HR=1.26, 95% CI: 1.02 to 1.57, P=0.034). After propensity score matching, orthostatic hypotension patients had significantly higher risks of MI, stroke, and dementia than matched controls among all onset age groups, and the HRs gradually increased with descending onset age. CONCLUSIONS: Younger onset age of orthostatic hypotension was associated with higher risks of incident MI, stroke, and dementia, underscoring the necessity to pay additional attention to the cardiovascular health and neurocognitive status of individuals diagnosed with orthostatic hypotension at younger ages to attenuate subsequent risks of incident cardiovascular diseases and dementia.

Comprehensive Nomograms Using Routine Biomarkers Beyond Eosinophil Levels: Enhancing Predictability of Corticosteroid Treatment Outcomes in AECOPD.

Purpose: Patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) exhibit heterogeneous responses to corticosteroid treatment. We aimed to determine whether combining eosinophil levels with other routine clinical indicators can enhance the predictability of corticosteroid treatment outcomes and to come up with a scoring system. Patients and Methods: Consecutive patients admitted with AECOPD receiving corticosteroid treatment between July 2013 and March 2022 at Beijing Chao-Yang Hospital were retrospectively analyzed. Data on patients' demographics, smoking status, hospitalization for AECOPD in the previous year, comorbidities, blood laboratory tests, in-hospital treatment and clinical outcomes were collected. Least absolute shrinkage and selection operator (LASSO) regression and backward logistic regression were used for predictor selection, and predictive nomograms were developed. The discrimination and calibration of the nomograms were assessed using the area under the receiver operating curve (AUC) and calibration plots. Internal validation was performed using the 500-bootstrap method, and clinical utility was evaluated using decision curve analysis (DCA). Results: Among the 3254 patients included, 804 (24.7%) had treatment failure. A nomogram of eosinophils, platelets, C-reactive protein (CRP), low density lipoprotein cholesterol, prognostic nutritional index (PNI), hospitalization for AECOPD in the previous year, ischemic heart diseases and chronic hepatic disease was developed to predict treatment failure for patients with a smoking history. For patients without a smoking history, a nomogram of CRP, PNI, ischemic heart diseases and chronic hepatic disease was developed. Although the AUCs of these two nomograms were only 0.644 and 0.647 respectively, they were significantly superior to predictions based solely on blood eosinophil levels. Conclusion: We developed easy-to-use comprehensive nomograms utilizing readily available clinical biomarkers related to inflammation, nutrition and immunity, offering modestly enhanced predictive value for treatment outcomes in corticosteroid-treated patients with AECOPD. Further investigations into novel biomarkers and additional patient data are imperative to optimize the predictive performance.

Association between Age at Diagnosis of Hyperlipidemia and Subsequent Risk of Dementia.

OBJECTIVES: The relationship between age at diagnosis of hyperlipidemia and dementia remains unclear. We examined whether younger age at diagnosis of hyperlipidemia is associated with higher risk of subsequent dementia. DESIGN: A longitudinal population-based study with a median follow-up of 12.8 years. SETTING AND PARTICIPANTS: We analyzed data on a sample of 489,642 participants in the United Kingdom. METHODS: This study was based on the UK Biobank. Information on hyperlipidemia and dementia diagnoses was collected at baseline (2006-2010) and follow-up [median = 12.8 years, interquartile range (IQR): 12.1-13.6 years]. Propensity score matching method and Cox proportional hazards models were used to assess the association between age at diagnosis of hyperlipidemia and dementia. RESULTS: Among 489,642 participants (mean age: 56.9 ± 8.1 years; female: 54.7%), 114,112 (23.3%) were diagnosed with hyperlipidemia. Younger age at diagnosis of hyperlipidemia (per 10-year decrease) was significantly associated with higher risks of all-cause dementia [hazard ratio (HR), 1.12; 95% CI, 1.07-1.18; P < .001], Alzheimer's disease (AD) (HR, 1.22; 95% CI, 1.14-1.31; P < .001), and vascular dementia (VD) (HR, 1.16; 95% CI, 1.05-1.27; P < .001). After propensity score matching, patients with hyperlipidemia diagnosed before 50 years had the highest HR for all-cause dementia (HR, 1.46; 95% CI, 1.15-1.86; P = .002), followed by patients diagnosed between 50 and 69 years (HR, 1.21; 95% CI, 1.12-1.31; P < .001) and then patients diagnosed aged 70 years and older (HR, 0.94; 95% CI, 0.84-1.06; P = .302). Similar results were observed for AD and VD. CONCLUSIONS AND IMPLICATIONS: A dose-response relationship between age at hyperlipidemia diagnosis and risk of dementia was found in the longitudinal cohort study, with younger age at diagnosis of hyperlipidemia being associated with higher subsequent risk.

Real-world effectiveness of nirmatrelvir-ritonavir versus azvudine in hospitalized patients with COVID-19 during the omicron wave in Beijing: a multicenter retrospective cohort study.

BACKGROUND AND AIM: Two oral antivirals (Nirmatrelvir- ritonavir and Azvudine) are widely used in China practice during the Omicron wave of the pandemic. However, little evidence regarding the real-world effectiveness of these two oral antivirals in in-hospital patients. We aimed to evaluate the clinical effectiveness of nirmatrelvir-ritonavir versus azvudine among adult hospitalized patients with COVID-19. METHODS: This retrospective cohort study used data from three Chinese PLA General Hospital medical centres. Hospitalized patients with COVID-19 treated with azvudine or nirmatrelvir-ritonavir from Dec 10, 2022, to February 20, 2023, and did not require invasive ventilation support on admission were eligible for inclusion. RESULTS: After exclusions and propensity-score matching, the final analysis included 486 azvudine recipients and 486 nirmatrelvir-ritonavir recipients. By 28 days of initiation of the antivirus treatment, the crude incidence rate of all-cause death was similar in both types of antivirus treatment (nirmatrelvir-ritonavir group 2.8 events 1000 person-days [95% CI, 2.1-3.6] vs azvudine group 3.4 events/1000 person-days [95% CI, 2.6-4.3], P = 0.38). Landmark analysis showed that all-cause death was lower in the nirmatrelvir-ritonavir (3.5%) group than the azvudine (6.8%, P = 0.029) within the initial 10-day admission period, while no significant difference was observed for results between 10 and 28 days follow-up. There was no significant difference between the nirmatrelvir-ritonavir group and the azvudine group in cumulative incidence of the composite disease progression event (8.6% with nirmatrelvir-ritonavir vs. 10.1% with azvudine, HR, 1.22; 95% CI 0.80-1.86, P = 0.43). CONCLUSION: Among patients hospitalized with COVID-19 during the omicron wave in Beijing, similar in-hospital clinical outcomes on 28 days were observed between patients receiving nirmatrelvir-ritonavir and azvudine. However, it is worth noticing that nirmatrelvir-ritonavir appears to hold an advantage over azvudine in reducing early mortality. Further randomized controlled trials are needed to verify the efficacy of those two antivirus medications especially in early treatment.

Association Between Onset Age of Coronary Heart Disease and Incident Dementia: A Prospective Cohort Study.

BACKGROUND: The association of age at coronary heart disease (CHD) onset with incident dementia remains unexplored. This study aimed to examine whether younger onset age of CHD is associated with a higher risk of incident dementia. METHODS AND RESULTS: Data were obtained from the UK Biobank. Information on the diagnosis of CHD and dementia was collected at baseline and follow-ups. Propensity score matching method and Cox proportional hazards models were used to evaluate the association between different ages at CHD onset and incident dementia. A total of 432 667 adults (mean±SD age, 56.9±8.1 years) were included, of whom 11.7% had CHD. Compared with participants without CHD, participants with CHD exhibited higher risks of developing all-cause dementia, Alzheimer's disease, and vascular dementia. More importantly, younger age at CHD onset (per 10-year decrease) was significantly associated with elevated risks of all-cause dementia (hazard ratio [HR], 1.25 [95% CI, 1.20-1.30]; P<0.001), Alzheimer's disease (HR, 1.29 [95% CI, 1.20-1.38]; P<0.001), and vascular dementia (HR, 1.22 [95% CI, 1.13-1.31]; P<0.001). After propensity score matching, patients with CHD had significantly higher risks of all-cause dementia, Alzheimer's disease, and vascular dementia than matched controls among all onset age groups, and the HRs gradually elevated with decreasing age at CHD onset. CONCLUSIONS: Younger onset age of CHD is associated with higher risks of incident all-cause dementia, Alzheimer's disease, and vascular dementia, underscoring the necessity to pay attention to the neurocognitive status of individuals diagnosed with CHD at younger age to conduct timely interventions to attenuate subsequent risk of incident dementia.

Age at Diagnosis of Atrial Fibrillation and Incident Dementia.

Importance: Epidemiological evidence regarding the association between atrial fibrillation (AF) onset age and risk of incident dementia remains unexplored. Objective: To examine whether age at AF diagnosis is associated with risk of incident dementia and its subtypes. Design, Setting, and Participants: This prospective, population-based cohort study used data from UK Biobank, a public, open-access database in the UK with baseline information collected from 2006 to 2010. A total of 433 746 participants were included in the main analysis after excluding participants with a diagnosis of dementia or AF at baseline, missing data on covariates, or having dementia before AF onset during a median follow-up of 12.6 years. Data were analyzed from October to December 2022. Exposures: AF diagnosis and age at AF diagnosis according to age groups (<65 years, 65-74 years, or ≥75 years). Main Outcomes and Measures: Incident dementia, ascertained through linkage from multiple databases until December 31, 2021. Cox proportional hazards models and the propensity score matching method were adopted to estimate the association between AF onset age and incident dementia. Results: Of 433 746 included participants, 236 253 (54.5%) were female, the mean (SD) age was 56.9 (8.1) years, and 409 990 (94.5%) were White. Compared with individuals without AF, 30 601 individuals with AF had a higher risk of developing all-cause dementia (adjusted hazard ratio [HR], 1.42; 95% CI, 1.32-1.52) and vascular dementia (VD; adjusted HR, 2.06; 95% CI, 1.80-2.36), but not Alzheimer disease (AD; adjusted HR, 1.08; 95% CI, 0.96-1.21). Among participants with AF, younger age at AF onset was associated with higher risks of developing all-cause dementia (adjusted HR per 10-year decrease, 1.23; 95% CI, 1.16-1.32), AD (adjusted HR per 10-year decrease, 1.27; 95% CI, 1.13-1.42), and VD (adjusted HR per 10-year decrease, 1.35; 95% CI, 1.20-1.51). After propensity score matching, individuals with AF diagnosed before age 65 years had the highest HR of developing all-cause dementia (adjusted HR, 1.82; 95% CI, 1.54-2.15), followed by AF diagnosed at age 65 to 74 years (adjusted HR, 1.47; 95% CI, 1.31-1.65) and diagnosed at age 75 years or older (adjusted HR, 1.11; 95% CI, 0.96-1.28). Similar results can be seen in AD and VD. Conclusions and Relevance: In this prospective cohort study, earlier onset of AF was associated with an elevated risk of subsequent all-cause dementia, AD, and VD, highlighting the importance of monitoring cognitive function among patients with AF, especially those younger than 65 years at diagnosis.

Age at Onset of Heart Failure and Subsequent Risk of Dementia: A Longitudinal Cohort Study.

BACKGROUND: The average age at onset of heart failure (HF) shows a progressive decrease in recent years; however, the association between age at onset of HF and risk of subsequent dementia remains undetermined. OBJECTIVES: The study sought to examine whether younger onset age of HF is associated with a higher risk of incident dementia. METHODS: Individual-level data from the UK Biobank cohort study were analyzed in the present study. Cox regression models and the propensity score matching method were used to analyze the associations of HF and its onset age with subsequent all-cause dementia, Alzheimer's disease (AD), and vascular dementia (VD). RESULTS: Compared with 442,791 participants without HF, those with HF had a higher risk of all-cause dementia (HR: 1.14). Among 14,413 participants with HF, multivariable-adjusted HRs for all-cause dementia, AD, and VD were 1.18, 1.64, and 1.27, respectively, per 10-year decrease in age at HF onset. The propensity score matching analyses found that the strength of association between HF and all-cause dementia increased with decreasing onset age of HF (≥75 years, HR: 1.05; 65-74 years, HR: 1.10; <65 years, HR: 1.67) after multivariable adjustment. Similarly, participants with onset age of HF <65 years had the greatest HRs for incident AD and VD, compared with their matched control subjects. CONCLUSIONS: Younger age at HF onset was associated with increased risk of dementia. Individuals with an onset age of HF before 65 years of age may represent a particularly vulnerable population for dementia irrespective of subtypes and need careful monitoring and timely intervention to attenuate subsequent risk of incident dementia.

Onset age of diabetes and incident dementia: A prospective cohort study.

BACKGROUND: Relationship between age at diagnosis of diabetes and dementia is lacking. The aim of the study was to investigate whether diabetes onset at a younger age was associated with a higher incidence of dementia. METHODS: 466,207 participants free of dementia in the UK biobank (UKB) were included in the analysis. Propensity score matching (PSM) was adopted to match diabetic and non-diabetic participants in different onset age of diabetes groups to evaluate onset age of diabetes and incident dementia. RESULTS: Compared with non-diabetic participants, diabetes participants had an adjusted hazard ratio (HR) of 1.87 (95 % confidence interval [CI]: 1.73-2.03) for all-cause dementia, 1.85 (95 % CI: 1.60-2.04) for Alzheimer's disease (AD), and 2.86 (95 % CI: 2.47-3.32) for vascular dementia (VD). Among diabetic participants who reported onset age, the adjusted HRs for incident all-cause dementia, AD, and VD were 1.20 (95 % CI: 1.14-1.25), 1.19 (95 % CI: 1.10-1.29), and 1.19 (95 % CI: 1.10-1.28), respectively, per 10 years decrease in age at diabetes onset. After PSM, strength of association between diabetes and all-cause dementia increased with decreasing onset age of diabetes (≥60 years: HR = 1.47, 95 % CI: 1.25-1.74; 45-59 years: HR = 1.66, 95 % CI: 1.40-1.96; <45 years: HR = 2.92, 95 % CI: 2.13-4.01) after multivariable adjustment. Similarly, diabetic participants with onset age <45 years had greatest HRs for incident AD and VD, compared with their matched controls. LIMITATIONS: Our results only reflect the characteristics of UKB participants. CONCLUSIONS: Younger age at diabetes onset was significantly associated with a higher risk of dementia in this longitudinal cohort study.

Cognitive Decline Before and During COVID-19 Pandemic Among Older People With Multimorbidity: A Longitudinal Study.

OBJECTIVE: To investigate whether older people living with multimorbidity would suffer an accelerated decline in cognition during the COVID-19 pandemic, compared with prepandemic data. DESIGN: A 5-year cohort conducting surveys from year 2016 to 2021, with 2016 to 2019 as the control period and 2019 to 2021 the pandemic period. SETTING AND PARTICIPANTS: In total, 9304 cognitively healthy older participants age ≥50 years were included from the Health and Retirement Study (HRS). METHODS: Multimorbidity was defined as the concurrent presence of 2 or more chronic diseases. A global cognition z score was calculated using memory (immediate and delayed word recall tests) and executive function (counting backwards and the serial sevens tests). Incident dementia was defined using either the reported physician diagnosis or an alternative approach based on cognition summary score. Linear mixed models were used to assess longitudinal changes, while modified Poisson regression models were used to analyze the risk of incident dementia. RESULTS: Of the 9304 participants included, 3649 (39.2%) were men, with a mean age of 65.8 ± 10.8 years. Participants with multimorbidity (n = 4375) suffered accelerated declines of 0.08 standard deviation (95% confidence interval 0.03, 0.13, P = .003) in global cognition and an elevated dementia risk (risk ratio 1.66, 95% confidence 1.05 to 2.61, P = .029), compared with individuals without morbidity (n = 1818) during the pandemic period. After further adjusting sociodemographic characteristics and prepandemic cognitive measurements, these differences remained evident. In contrast, no significant differences in cognitive declines were observed during the control period. CONCLUSIONS AND IMPLICATIONS: During the COVID-19 pandemic, older people with multimorbidity suffered an accelerated decline in cognition and elevated incident dementia risk, while no evident differences in cognitive decline rates were observed before the pandemic. Measures targeting vulnerable older people with multimorbidity could be significant for assisting these individuals to tackle neurocognitive challenges during the pandemic.

Sex differences in changes of depressive symptoms among older adults before and during the COVID-19 pandemic: evidence from two longitudinal cohorts.

BACKGROUND: Major concerns about the adverse mental health impact of the rapidly spread COVID-19 pandemic have been raised. Previous studies on changes of depressive symptoms during the COVID-19 pandemic have yielded inconsistent results regarding the sex differences. Since women have higher depressive symptoms even without the pandemic, it is essential to consider the pre-existing change of depressive symptoms of a similar period to discern the effect of the pandemic on depression. This study aimed to evaluate sex differences in depressive symptoms before and during the pandemic. METHODS: Data from the Health and Retirement Study (HRS; waves 13 to 15) and the English Longitudinal Study of Ageing (ELSA; wave 8 to COVID-19 wave 2) were analyzed. Depressive symptoms were assessed by the 8-item Center for Epidemiological Studies Depression (CES-D) scale. According to the time of COVID-19 outbreak in the US and the UK, the intervals from waves 13 to 14 surveys of the HRS and from waves 8 to 9 surveys of the ELSA were employed as pre-pandemic periods to control for the pre-existing depressive symptoms, respectively. Changes of CES-D scores during the pre-pandemic and pandemic periods were assessed by linear mixed models. RESULTS: Nine thousand, seven hundred thirty-seven participants (mean age: 66.7 ± 10.7 years) from the HRS and 5,098 participants (mean age: 68.7 ± 10.0 years) from the ELSA were included. CES-D scores among women were significantly higher than those among men at all waves in both cohorts. During the pre-pandemic period, no significant sex difference on changes of CES-D scores was detected in either the HRS or the ELSA. During the pandemic period, CES-D scores were increased in both men and women and the sex differences in CES-D increments of the two cohorts were both significant. Enlarged sex differences were demonstrated in increments of CES-D scores during the pandemic period. CONCLUSIONS: Our results suggest women suffered from worse depressive symptoms in response to the pandemic, although the changes of depression were similar between men and women before the pandemic. These findings underscore the necessity to support the vulnerable populations, especially women, to manage the distress brought by the pandemic and maintain optimal mental health status.

Prediction Abilities of SCORE2 Risk Algorithms for Incident Dementia and All-Cause Mortality: Results From the UK Biobank Cohort Study.

BACKGROUND: Whether the updated Systematic COronary Risk Evaluation (SCORE2) risk algorithm is suitable for the prediction of incident dementia and all-cause mortality and whether its discrimination abilities for these outcomes are higher than those of the SCORE and Cardiovascular Risk Factors, Aging, and Dementia (CAIDE) risk algorithms are unclear. METHODS: The present study included 429 033 participants (mean age: 57.1 ± 8.1 years; male: 46.2%; White: 94.1%) free of dementia from the UK Biobank at baseline, with a median follow-up of 12.8 years. Cox regression models were adopted to investigate the longitudinal relationships of SCORE2 risk categories with outcomes, and receiver operating characteristic curve analyses were used to compare the discrimination abilities of the 3 algorithms. RESULTS: During 5 376 778 person-years of follow-up, 6 477 all-cause dementia, 2 726 Alzheimer's disease (AD), 1 439 vascular disease (VD), and 31 981 all-cause deaths were identified. We found that higher SCORE2 risk was associated with higher risks of all-cause dementia, AD, VD, and all-cause mortality. The C-indices of SCORE2 risk for discriminating incident all-cause dementia, AD, VD, and all-cause death were 0.750 (95% confidence interval [CI]: 0.745 to 0.755), 0.750 (95% CI: 0.743 to 0.757), 0.800 (95% CI: 0.791 to 0.809), and 0.721 (95% CI: 0.718 to 0.724), respectively, which were significantly improved in comparison to those of the SCORE and CAIDE risk algorithms. CONCLUSION: The SCORE2 risk algorithm is applicable in predicting incident all-cause dementia, AD, VD, and all-cause mortality in European populations, and its discrimination abilities for dementia and death are significantly higher than those of the SCORE and CAIDE risk algorithms. Further validations in other populations are warranted.

Influence of promoting an "age-friendly cities" strategy on psychological capital and social engagement based on the scenario method.

Holding large conferences and events usually encourages the corresponding government to upgrade the host city. For this process, incorporating additional costs to increase accessibility for the elderly is a feasible means for a city to develop in an age-friendly manner. Providing evidence-based reports to policy makers is conducive to implementing the policies of age-friendly cities. This study used the scenario method to simulate the effect of promoting the "age-friendly cities" strategy on residents' psychological capital and social engagement (SE). We found that promoting the construction of age-friendly cities can significantly improve residents' psychological capital and SE and that residents from all age groups can benefit. This paper provides an economical means to influence policymakers through evidence-based reports in promoting the development of age-friendly cities.

Relationships of Residential Distance to Major Traffic Roads with Dementia Incidence and Brain Structure Measures: Mediation Role of Air Pollution.

Background: Uncertainty exists regarding the operating pathways between near-roadway exposure and dementia incidence. We intend to examine relationships between proximity to major roadways with dementia incidence and brain MRI structure measures, and potential mediation roles of air and noise pollution. Methods: The cohort study was based on the UK Biobank. Baseline survey was conducted from 2006 to 2010, with linkage to electronic health records conducted for follow-up. Residential distance to major roadways was ascertained residential address postcode. A land use regression model was applied for estimating traffic-related air pollution at residence. Dementia incidence was ascertained using national administrative databases. Brain MRI measures were derived as image-derived phenotypes, including total brain, white matter, gray matter, and peripheral cortical gray matter. Results: We included 460,901 participants [mean (SD) age: 57.1 (8.1) years; men: 45.7%]. Compared with individuals living >1,000 m from major traffic roads, living ≤1,000 m was associated with a 13% to 14% higher dementia risk, accounting for 10% of dementia cases. Observed association between residential distance and dementia was substantially mediated by traffic-related air pollution, mainly nitrogen dioxide (proportion mediated: 63.6%; 95% CI, 27.0 to 89.2%) and PM2.5 (60.9%, 26.8 to 87.0%). The shorter residential distance was associated with smaller volumes of brain structures, which was also mediated by traffic-related air pollutants. No significant mediation role was observed of noise pollution. Conclusions: The shorter residential distance to major roads was associated with elevated dementia incidence and smaller brain structure volumes, which was mainly mediated by traffic-related air pollution.

C-reactive protein and coronary atheroma regression following statin therapy: A meta-regression of randomized controlled trials.

Objective: Several clinical trials have indicated that statins stabilize and reverse atherosclerotic plaque. However, different studies have provided inconsistent findings regarding mechanisms and influencing factors of plaque regression under statin therapy. Apart from lipid-lowering effect, statins have pleiotropic effects including anti inflammation in humans. In this study, meta-analysis and meta-regression were used to determine the effects of statin medications on coronary plaque volume. Meanwhile, to assess whether statins promote plaque regression effect was related to their anti-inflammatory ability, the impact of CRP/hsCRP reduction during statin therapy on plaque regression was investigated. Methods: Up to June 15, 2022, a systematic PubMed, EMBASE, and Cochrane search was performed for randomized controlled trials that assessed treatment effect using total atheroma volume (TAV), percent atheroma volume (PAV), or plaque volume (PV). Only CRP/hsCRP and LDL-C values reported before and after treatment were considered. Results: 12 studies (2,812 patients with heart and/or vascular disease) fulfilled the inclusion criteria and were included in the systematic review. A meta-analysis of 15 statin-treated arms reported a significant reduction in change of TAV/PV [standardized mean difference (SMD): -0.27, 95% confidence intervals (-CI): -0.42, -0.12, p < 0.001], compared with the control arms. Another meta-analysis of 7 trials also found that patients in the intervention group had a significant reduction in change of PAV (SMD: -0.16, 95% CI: -0.29, -0.03, p = 0.019), compared with those in the control group. Meta-regressionanalysis revealed that the percent change of CRP/hsCRP was significantly associated with SMD in change of TAV/PV after adjusting for percent change of LDL-C, age, gender and study duration. Meta-regression analysis showed that percent change of CRP/hsCRP statistically influenced SMD in change of PAV, when percent change of CRP/hsCRP was included separately. However, the percent change of CRP/hsCRP was not significantly associated with SMD of PAV change after adjusting for all covariates. Conclusion: In conclusion, statin therapy is beneficial for plaque regression. Statins promote plaque regression, which might be associated to their anti-inflammatory ability.

Cognitive decline among older adults with heart diseases before and during the COVID-19 pandemic: A longitudinal cohort study.

Background: Little is known about the impact induced by the COVID-19 pandemic on the cognitive function of older adults with heart diseases. This study aimed to examine whether older adults with heart diseases suffered larger cognitive deterioration during the COVID-19 pandemic. Methods: This study leveraged longitudinal data from the Health and Retirement Study (HRS), a nationally representative U.S. aging cohort with objective cognitive assessments measured before and during the pandemic. The interval from HRS waves 13 to 14 (April 2016 to June 2019) was defined as the pre-pandemic period to control the pre-existed cognitive difference between participants with and without heart diseases, and the interval from waves 14 to 15 (June 2019 to June 2021) was defined as the pandemic period. The HRS wave 14 survey was considered the baseline. The heart disease status was defined by a self-reported diagnosis. Linear mixed models were performed to evaluate and compare the cognitive differences during different periods. Results: A total of 9,304 participants (women: 5,655, 60.8%; mean age: 65.8 ± 10.8 years) were included, and 2,119 (22.8%) had heart diseases. During the pre-pandemic period, there was no significant difference (-0.03, 95% CI: -0.22 to 0.15, P = 0.716) in the changes in global cognitive scores between participants with and without heart disease. During the pandemic period, a larger decreased change in the global cognitive score was observed in the heart disease group compared with the non-heart disease group (-0.37, 95% CI: -0.55 to -0.19, P < 0.001). An enlarged difference in global cognitive score was observed during the pandemic period (-0.33, 95% CI: -0.65 to -0.02, P = 0.036). Conclusion: The findings demonstrated that the population with heart diseases suffered more cognitive decline related to the pandemic, underscoring the necessity to provide immediate cognitive monitoring and interventions for the population with heart diseases.