Aging Clinical and Experimental Research最新文献

Objective

This study aims to analyze adverse drug events (ADE) related to romosozumab from the second quarter of 2019 to the third quarter of 2023 from FAERS database.

Methods

The ADE data related to romosozumab from 2019 Q2 to 2023 Q3 were collected. After data normalization, four signal strength quantification algorithms were used: ROR (Reporting Odds Ratios), PRR (Proportional Reporting Ratios), BCPNN (Bayesian Confidence Propagation Neural Network), and EBGM (Empirical Bayesian Geometric Mean).

Results

Screening for romosozumab-related AEs (adverse events) included 23 system organ categories (SOCs). PT (preferred terms) levels were screened for adverse drug reaction (ADR) signals. A total of 7055 reports with romosozumab as the primary suspect (PS) and 14,041 PTs induced by romosozumab as PS were identified. Common significant signals of general disorders and administration site conditions, musculoskeletal and connective tissue disorders have emerged. Specifically, unexpected AEs such as gastrointestinal disorder, respiratory, thoracic and mediastinal disorders also occur. Notably, fracture (n = 503, ROR = 107.8, PRR = 103.83, IC = 6.6, EBGM = 97.02) and bone density abnormal (n = 429, ROR = 343.65, PRR = 332.77, IC = 8.08, EBGM = 271.34) exhibited relatively high occurrence rates and signal strengths.

Conclusion

Our study identifies potential new AE signals and provides broader data support for the safety of romosozumab. In clinical application, doctors are provided with a warning to closely monitor adverse reactions to support their rational use in diseases such as osteoporosis.

Background

This study aims to delineate the global, regional, and national burden of malignant neoplasms of bone and articular cartilage (MNBAC) among individuals aged 65 years and older from 1990 to 2021, stratified by age, sex, and sociodemographic index (SDI).

Methods

We harnessed data from the Global Burden of Disease Study 2021 to evaluate the prevalence, incidence, mortality, and disability-adjusted life years (DALYs) associated with MNBAC among individuals aged 65 years and older across 204 countries and territories between 1990 and 2021. The socio-demographic Index (SDI) served as a metric to examine the influence of socioeconomic development on the burden of MNBAC. Furthermore, joinpoint regression analysis was employed to identify the years marked by the most significant temporal changes over the study period.

Results

In 2021, an estimated 163,561 prevalent cases of MNBAC were recorded among individuals aged ≥ 65 years, alongside 28,100 newly diagnosed cases, 27,588 deaths, and 508,202 DALYs. The age-standardized rates per 100,000 population were 21.30 for prevalence, 3.69 for incidence, 3.66 for mortality, and 65.85 for DALYs. Notably, Cuba reported the highest prevalence rate (42.42), while the Philippines exhibited the greatest DALY burden (161.78). Egypt demonstrated the highest incidence (7.44) and mortality rates (8.90). A significant inverse correlation was observed between age-standardized DALY rates and SDI across regions.

Conclusions

This analysis underscores the substantial global burden of MNBAC among older adults, accentuating the imperative for tailored public health interventions, alongside advancements in diagnostic and therapeutic approaches, particularly within resource-constrained settings.

Background

Many studies have developed or validated predictive models to estimate the risk of sarcopenia in dialysis patients, but the quality of model development and the applicability of the models remain unclear.

Objective

To systematically review and critically evaluate currently available predictive models for sarcopenia in dialysis patients.

Methods

We systematically searched five databases until March 2024. Observational studies that developed or validated predictive models or scoring systems for sarcopenia in dialysis patients were considered eligible. We included studies of adults (≥ 18 years of age) on dialysis and excluded studies that did not validate the predictive model. Data extraction was performed independently by two authors using a standardized data extraction table based on a checklist of key assessments and data extraction for systematic evaluation of predictive modeling research. The quality of the model was assessed using the Predictive Model Risk of Bias Assessment Tool.

Results

Of the 104,454 studies screened, 13 studies described 13 predictive models. The incidence of sarcopenia in dialysis patients ranged from 6.6 to 34.4%. The most commonly used predictors were age and body mass index. In the derivation set, the reported area under the curve or C-statistic is between 0.81 and 0.95. The area under the curve reported by the external validation set is between 0.78 and 0.93. All studies had a high risk of bias, mainly due to poor reporting in the outcome and the analysis domains, and three studies had a high risk of bias in terms of applicability.

Conclusion

Future research should focus on validating and improving existing predictive models or developing new models using rigorous methods.

Background

The presence of frailty is common in people with Parkinson’s disease, as is cognitive dysfunction. Previous research on frailty has focused on the physical aspects of the pathology.

Aims

To analyze the relationship between frailty and cognitive impairment in patients with Parkinson’s disease and to know which disease characteristics are associated with frailty.

Methods

An observational, correlational and cross-sectional study was conducted. Participants were recruited from a Home Rehabilitation Service and two Parkinson’s Associations. An individualized assessment was carried out by means of a structured interview. Frailty was assessed with the Fried scale and cognitive function with the Mini Mental State Examination and the Parkinson’s Disease Cognitive Rating Scale.

Results

90 patients were recruited, 60% men, with a mean age of 73.50 (6.71) years. Frailty was associated with age and disease severity (p < 0.05). Frail patients presented worse cognitive performance relative to pre-frail and robust patients. A negative correlation (coefficient − 0.503) was observed between frailty and measures of patients’ cognitive function (p < 0.05).

Discussion

The coexistence of frailty and cognitive impairment should be assessed, as PD patients with both conditions are more vulnerable and have a higher chance of experiencing adverse effects.

Conclusion

Frail patients with Parkinson’s disease present an impairment of cognitive functions dependent on cortical and subcortical regions, being these regions more preserved in the case of robust. The development of programs for early detection of frailty and cognitive function in these patients is necessary to implement strategic intervention plans focused on reversing frailty and cognitive impairment.

Protocol registration number

http://www.ClinicalTrials.gov ID: NCT05388526.

Recent discoveries indicating that the brain retains its ability to adapt and change throughout life have sparked interest in cognitive training (CT) as a possible means to postpone the development of dementia. Despite this, most research has focused on confirming the efficacy of training outcomes, with few studies examining the correlation between performance and results across various stages of training. In particular, the relationship between initial performance and the extent of improvement, the rate of learning, and the asymptotic performance level throughout the learning curve remains ambiguous. In this study, older adults underwent ten days of selective attention training using an adaptive algorithm, which enabled a detailed analysis of the learning curve's progression. Cognitive abilities were assessed before and after CT using the Mini-mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA). The findings indicated that: (1) Initial performance is positively correlated with Learning amount and asymptotic performance level, and negatively correlated with learning speed; (2) Age is negatively correlated with learning speed, while it is positively correlated with the other three parameters. (3) Higher pre-training MMSE scores predicted higher post-training MMSE scores but less improvement; (4) Higher pre-training MoCA scores predicted higher post-training MoCA scores and less improvement; (5) The parameters of the learning curve did not correlate with performance on the MMSE or MoCA. These results indicate that: (1)Selective attention training using adaptive algorithms is an effective tool for cognitive intervention; (2) Older individuals with poor baseline cognitive abilities require more diversified cognitive training; (3) The study supports the compensation hypothesis.

Introduction

As ageing accelerates, frailty increasingly impacts public health. Cough, sputum, wheezing and dyspnea are common respiratory symptoms, and the relationship to frailty is unclear. We aimed to analyze the relationship between respiratory symptoms and frailty.

Methods

Cross-sectional and Mendelian randomization (MR) studies were used. Cross-sectional data involved 14,021 participants from the National Health and Nutrition Examination Survey (NHANES). Logistic and linear regression were used to analyze the relationship between respiratory symptoms (cough, sputum, wheezing, dyspnea) and frailty. We adjusted for multiple variables and used propensity score matching (PSM). Mediation analysis was used to explore the role of inflammatory markers and age in the relationship between the two. We analyzed the relationship using a two-sample MR approach with data from genome-wide association studies (GWAS) to enhance causal inference.

Results

Observational studies have shown that cough (OR 1.74, 95 CI% 1.44, 2.09), sputum (OR 1.87, 95 CI% 1.57, 2.22), wheezing (OR 2.01, 95 CI% 1.68, 2.40), and dyspnea (OR 2.60, 95 CI% 2.28, 2.97) are associated with an elevated risk of frailty. The PSM results were stable. Mediation analyses indicated that elevated inflammatory markers and advancing age were mediators between respiratory symptoms and frailty. The results of the MR study showed that sputum and wheezing were associated with an elevated frailty index; and in the study of FI on respiratory symptoms, all respiratory symptoms were elevated with elevated FI.

Conclusions

Our study identified a potential association between frailty and respiratory symptoms. Inflammation and ageing may be essential factors mediating this association.

Background

Korea is expected to become a super-aged society by 2025. Research has shown that regular participation in physical activity has a positive impact on older adults’ health and reduces national health costs.

Aims

Drawing on Bronfenbrenner’s ecological model, this study examines ecological systems that influence physical activity in older men and women.

Method

The data analysis included information on 537 older adults aged 65 years and older residing in South Korea. The regression analysis identified differences in the ecological systems that influence physical activity in older adults by sex.

Results

By examining the ecological systems that affect physical activity in older men, this study found that the macrosystem affected the exosystem (p <.001) and microsystem (p <.001), the exosystem affected the mesosystem (p <.01), and the microsystem affected individuals (p <.001). In the case of older women, the macrosystem affected the exosystem (p <.001), microsystem (p <.001), and individuals (p <.01); the exosystem affected the microsystem (p <.01), and the microsystem affected individuals (p <.001).

Conclusions

The microsystem commonly affects the physical activity of older men and women, whereas the macrosystem only affects the physical activity of older women, suggesting that older men may experience limited macrosystem support in fostering their participation in physical activity. To address this disparity, the study highlights the need for targeted policies to enhance macrosystem support for older men, such as developing tailored physical activity programs that promote positive attitudes and accessible opportunities for participation.

Background

Various biomarkers associated with sarcopenia have been identified. However, there is a scarcity of studies exploring and validating biomarkers in individuals with age-related sarcopenia.

Aims

This study aimed to investigate the proteome and identify potential biomarkers for age-related sarcopenia.

Methods

Proteomic analysis and experimental validation were conducted using plasma from hospitalized older adults. Sarcopenia diagnosis was based on the Asian Working Group for Sarcopenia 2019 criteria. Data-independent acquisition-based proteomics was performed on plasma from 60 participants, with 30 diagnosed with sarcopenia and 30 without sarcopenia. Differentially expressed proteins (DEPs) were selected and evaluated by Receiver Operating Characteristic (ROC) analysis. Biomarker candidates were further quantitatively validated by enzyme-linked immunosorbent assay (ELISA) utilizing plasma from 6 participants with sarcopenia and 6 without sarcopenia.

Results

A total of 39 DEPs were identified and 12 DEPs were selected for ROC analysis. 8 DEPs were included for ELISA validation based on their predictive performance. Paraoxonase-3 (PON3) consistently showed down-regulation in the sarcopenic group across both methodologies. Insulin-like growth factor-binding protein-2 (IGFBP2) showed inconsistency in the sarcopenic group, with up-regulation observed in proteomic analysis but down-regulation in ELISA.

Discussion

Decline in PON3 may result in an overload of oxidative stress in skeletal muscles and contribute to sarcopenia. Protein modifications of IGFBP2 might exhibit during sarcopenia pathogenesis.

Conclusions

Plasma proteins are implicated in sarcopenia pathogenesis. PON3 is highlighted as a potential biomarker for patients with age-related sarcopenia. Further studies are imperative to gain an in-depth understanding of PON3 and IGFBP2.