Aging Clinical and Experimental Research最新文献

Background

Hip fracture is a common event in older adults, leading to an increased risk of mortality, disability, and higher healthcare costs. Early in-hospital rehabilitation after surgery within orthogeriatric units may improve outcomes with limited incident complications even in the oldest old. We aimed to determine the prevalence and predictors of non-adherence to early rehabilitation in the orthogeriatric unit of an Italian tertiary hospital and its impact on outcomes and setting at discharge.

Methods

Retrospective observational single-centered cohort study. Patients aged ≥ 65 years admitted to the orthogeriatric unit for hip fracture who underwent surgery between April 2019 and October 2020 were considered eligible if able to walk autonomously or with assistance and independent in at least 2 Basic Activities of Daily Living. Along with sociodemographic and geriatric variables, characteristics of surgery and rehabilitation, in-hospital complications and functional outcomes at discharge were collected. The primary outcome was non-adherence to the early in-hospital rehabilitation program.

Results

Among 283 older patients (mean age 82.7 years, 28.6% male), non-compliance with physical therapy was assessed in 49 cases (17.3%), characterized by worse pre-fracture clinical, cognitive, and functional status and showing worse outcomes in terms of mobilization at discharge. After multivariable analysis, non-adherence was independently associated with the onset of delirium (OR 5.26, 95%CI 2.46–11.26; p < 0.001) or infections after surgery (OR 3.26, 95%CI 1.54–6.89; p < 0.001) and a systolic blood pressure at admission < 120 mmHg (OR 4.52, 95%CI 1.96–10.43, p < 0.001).

Conclusions

Pre-fracture poor cognitive and functional status, along with lower systolic blood pressure, seem to make some patients more vulnerable to in-hospital complications (mainly delirium and infections) and negatively affect the adherence to physical therapy and, by consequence, clinical outcomes of rehabilitation.

Background

Sarcopenia (SP) is an aging-related loss of muscle mass and function, affecting the respiratory system. However, the causality of the association between sarcopenia on lung diseases remains elusive.

Methods

The bidirectional univariate Mendelian randomization (UVMR), multivariate MR (MVMR) analysis, and mediation MR were utilized to systematically investigate the genetic causal relationship of SP and 11 respiratory diseases. Independent genomic variants related to sarcopenia or respiratory diseases were identified as instrumental variables (IVs), and the summary level data of genome-wide associated studies (GWAS) were obtained from the UK biobank and FinnGen. MVMR analysis was conducted to explore the mediation effects of body mass index (BMI), Alcohol Use Disorders Identification Test (AUDIT), smoking, education attainment (EA), physical activity, and Type 2 Diabetes Mellitus (T2DM).

Results

Forward UVMR analysis based on the primary method revealed that pneumoconiosis was associated with a higher risk of appendicular lean mass (ALM) (OR = 1.01, p = 0.03), and BMI (10.65%), smoking (10.65%), and physical activity (17.70%) had a mediating role in the effect of pneumoconiosis on ALM. In reverse MR analysis, we found that genetically predicted ALM was significantly associated with an increased risk of pulmonary embolism (PE) (OR = 1.24, p = 7.21E-05). Chronic obstructive pulmonary disease (COPD) (OR = 0.98, p = 0.002) and sarcoidosis (OR = 1.01, p = 0.004) were identified to increase the loss of left-hand grip strength (HGS). Conversely, the increase in left- HGS presented a protective effect on chronic bronchitis (CB) (OR = 0.35, p = 0.03), (OR = 0.80, p = 0.02), and asthma (OR = 0.78, p = 0.04). Similarly, the loss of the right-HGS elevated the risk of low respiratory tract infection (LRTI) (OR = 0.97, p = 0.02) and bronchiectasis (OR = 1.01, p = 0.03), which is also an independent protective factor for LRTI and asthma. In the aspects of low HGS, the risk of LRTI was increased after MVMR analysis, and the risk of sarcoidosis and pneumoconiosis was elevated in the reverse analysis. Lastly, asthma was found to be related to the loss of the usual walking pace, and the reverse MR analysis suggested a causal relationship between the usual walking pace and LRTI (OR = 0.32, p = 2.79 × 10−⁵), asthma (OR = 0.24, p = 2.09 × 10−⁶), COPD (OR = 0.22, p = 6.64 × 10−⁴), and PE(OR = 0.35, p = 0.03).

Conclusions

This data-driven MR analysis revealed SP was bidirectional causally associated with lung diseases, providing genetic evidence for further mechanistic and clinical studies to understand the crosstalk between SP and lung diseases.

Objectives

To compare the efficacy of the various wavelengths of low-level light therapy (LLLT) in alleviating knee pain, dysfunction, and stiffness in patients with knee osteoarthritis (KOA), and to compare the effectiveness of LLLT versus sham treatment in reducing knee pain, dysfunction, and stiffness.

Methods

PubMed, Web of Science, EMBASE, and Cochrane Library were searched from inception to 12 December 2023. Randomized controlled trials that assessed the effects of different wavelengths of LLLT on alleviating pain of patients with KOA were included. A conventional meta-analysis and network meta-analysis were preformed, and standardized mean differences (SMD) with 95% confidence interval (CI) were calculated.

Results

Thirteen studies involving 673 participants with KOA met inclusion criteria. Overall, LLLT was superior to sham LLLT for relieving pain (SMD = 0.96, 95% CI 0.31–1.61) but not for improving function (SMD = 0.21, 95% CI − 0.11 to 0.53) or stiffness (SMD = 0.07, 95% CI − 0.25 to 0.39). Surface under the cumulative ranking curve (SUCRA) value ranking showed the most effective wavelength of LLLT in reducing KOA pain was 904–905 nm (SUCRA, 86.90%), followed by multi-wavelengths (MWL) (SUCRA, 56.43%) and 785–850 nm (SUCRA, 54.97%). Compared to sham LLLT, L2 (SMD = 1.42, 95% CI = 0.31–2.53) and L1 (SMD = 0.82; 95% CI = 0.11–1.50) showed a significant reduction in KOA pain. However, MWL (SMD = 0.83; 95% CI = − 0.06 to 1.72) showed similar KOA pain reduction compared to sham LLLT. The certainty of evidence showed that the quality of evidence regarding the effectiveness of overall LLLT versus sham, and 904–905 nm versus sham were low, while the quality of evidence for MWL versus sham, and 785–850 nm versus sham was very low.

Conclusion

While the 904–905 nm wavelength showed potential benefits in reducing KOA pain, the overall quality of the evidence was low. LLLT with 904–905 nm or 785–850 nm wavelengths yielded significantly better reduction in KOA pain compared to sham LLLT, but further high-quality research is warranted to validate these findings.

Background

Sarcopenia is an aging-related disorder characterized by a loss of muscle mass and function. Calf circumference (CC) is a useful surrogate marker of muscle mass and function. This prospective study was designed to investigate the association between CC and all-cause mortality during a follow-up for 5 years in the Chinese centenarians.

Methods

The China Hainan Centenarian Cohort Study (CHCCS) is conducted in 18 cities and counties of Hainan, China.

Results

All 231 centenarians had a mean age of 103.03 years. Survival participants had a longer CC and were often living alone compared with others (P<0.05 for all). Multivariate Cox regression models showed that CC was negatively associated with all-cause mortality (P < 0.05 for all). Participants with a longer CC had a lower mortality risk compared with others [Exp(β): 0.918; 95%confidence interval: 0.863–0.977]. Participants with a longer CC had a lower mortality risk whether they were males or females and lived with family members or alone.

Conclusion

CC was negatively associated with all-cause mortality and could be an indicator of future mortality among the Chinese centenarians. Further researches should focus on preventing a decline in the CC in order to promote human longevity.

Objective

To investigate the association between depression, accelerated biological aging, and mortality risk, and to assess whether accelerated aging mediates the relationship between major depression and mortality risk.

Methods

A prospective cohort of 12,761 participants aged 20 years or older from the 2005–2010 cycle of the National Health and Nutrition Examination Survey (NHANES) was analyzed. Depression was assessed using the Patient Health Questionnaire-9 (PHQ-9), with scores of ≥ 10 indicating major depression. Accelerated biological aging was measured using phenotypic age acceleration (PhenoAgeAccel). Multivariable linear regression models and subgroup analyses were used to examine the association between depression and accelerated aging, while weighted multivariable Cox proportional hazards regression models and subgroup analyses assessed the impact of major depression on mortality risk. Mediation analysis was performed to assess whether PhenoAgeAccel mediated the relationship between major depression and mortality outcomes.

Results

Among the 12,761 adults, the weighted mean age was 46.6 years, with 48.8% being male, and 6.9% experiencing major depression. The results showed a positive association between major depression and PhenoAgeAccel (β: 0.61, 95% CI: 0.06–1.16). Over a median follow-up duration of 11.3 years (interquartile range: 9.9–13.1), major depression was associated with increased all-cause mortality (HR: 1.35, 95% CI: 1.13–1.62) and cardiovascular mortality (HR: 1.73, 95% CI: 1.18–2.54). However, the relationship with cancer mortality was not statistically significant after full adjustment for confounding factors. The mediation analysis further revealed that PhenoAgeAccel accounted for 10.32% and 5.12% of the associations between major depression and all-cause mortality, and cardiovascular mortality, respectively.

Conclusion

Depression is associated with accelerated aging and contributes to increased all-cause and cardiovascular mortality. Accelerated aging partially mediates the association between major depression and mortality risk. Our findings highlight the urgent need to incorporate mental health care into public health strategies to delay population aging and reduce mortality risk.

Background

Numerous single nutrients have been suggested to be linked with leukocyte telomere length (LTL). However, data on nutrient patterns (NPs), particularly in Chinese population, are scarce. This study aimed to examine the relationship between nutrient-based dietary patterns and LTL, and the potential role of metabolic factors.

Methods

Dietary data was obtained via 24-hour food recalls, and principal component analysis (PCA) was used to identify NPs. LTL was assessed using a real-time PCR assay. Multiple linear regression was conducted to determine the association between NPs and LTL. The potential role of metabolism among them was analyzed using mediation models.

Results

A total of 779 individuals from northern China were included in this cross-sectional analysis. Five main nutrient patterns were identified. Adjusted linear regression showed that the “high sodium” pattern was inversely associated with LTL (B=-0.481(-0.549, -0.413), P < 0.05). The “high vitamin E-fat” pattern exhibited a positive correlation (B = 0.099(0.029, 0.170), P < 0.05), whereas the “high vitamin A-vitamin B2” pattern was negatively correlated with LTL (B=-0.120(-0.183, -0.057), P < 0.05), respectively. No significant associations were observed for the remaining nutrient patterns. The mediation model demonstrated that diastolic blood pressure and waist circumference could individually and collectively mediate the negative impact of the “high sodium” pattern on LTL (B_DBP=-0.0173(-0.0333, -0.0041), B_WC=-0.0075(-0.0186, -0.0004), B_joint=-0.0033 (-0.0072, -0.0006), all P < 0.05). Moreover, glycosylated hemoglobin and non-high-density lipoprotein cholesterol mediate the relationship between the “high vitamin E-fat” pattern and LTL (B_HbA1c=0.0170(0.0010,0.0347), B_non-HDL-C= 0.0335 (0.0067, 0.0626), all P < 0.05), respectively.

Conclusions

The “high sodium” and “high vitamin E-fat” nutrient patterns demonstrated negative and positive associations with LTL and metabolic indicators may play complex mediating roles in these relationships.

Background

Postoperative pulmonary complications (PPCs) remain a prevalent concern among elderly patients undergoing surgery, with a notably higher incidence observed in elderly patients undergoing thoracic surgery. This study aimed to develop a nomogram to predict the risk of PPCs in this population.

Methods

A total of 2963 elderly patients who underwent thoracic surgery were enrolled and randomly divided into a training cohort (80%, n = 2369) or a validation cohort (20%, n = 593). Univariate and multivariate logistic regression analyses were conducted to identify risk factors for PPCs, and a nomogram was developed based on the findings from the training cohort. The validation cohort was used to validate the model. The predictive accuracy of the model was evaluated by receiver operating characteristic (ROC) curve, area under ROC (AUC), calibration curve, and decision curve analysis (DCA).

Results

A total of 918 (31.0%) patients reported PPCs. Nine independent risk factors for PPCs were identified: preoperative presence of chronic obstructive pulmonary disease (COPD), elevated leukocyte count, higher partial pressure of arterial carbon dioxide (PaCO₂) level, surgical site, thoracotomy, intraoperative hypotension, blood loss > 100 mL, surgery duration > 180 min, and malignant tumor. The AUC value for the training cohort was 0.739 (95% CI: 0.719–0.762), and it was 0.703 for the validation cohort (95% CI: 0.657–0.749). The P-values for the Hosmer-Lemeshow test were 0.633 and 0.144 for the training and validation cohorts, respectively, indicating a notable calibration curve fit. The DCA curve indicated that the nomogram could be applied clinically if the risk threshold was between 12% and 84%, which was found to be between 8% and 82% in the validation cohort.

Conclusion

This study highlighted the pressing need for early detection of PPCs in elderly patients undergoing thoracic surgery. The nomogram exhibited promising predictive efficacy for PPCs in elderly patients undergoing thoracic surgery, enabling the identification of high-risk patients and consequently aiding in the implementation of preventive interventions.

Graphical Abstract

Background

The population of Aging cancer survivors in the United States has surged to over 16.9 million. Research on the relationship between statin usage and post-cancer survival rates remains limited.

Aims

This study aims to investigate the association between statin use and various causes of mortality among aging cancer survivors.

Methods

We analyzed NHANES data from 1999 to 2018, Statin usage, both hydrophilic and lipophilic, was derived from NHANES prescription records. We utilized Cox proportional hazards models to associate statin utilization with mortality, differentiating causes of death according to statin type and patterns of use.

Results

Within a cohort of 2,968 participants, statin usage was categorized into non-users (1,738), hydrophilic statin users (216), and lipophilic statin users (982). Compared to those who did not use statins, individuals prescribed hydrophilic statins did not show a reduced risk of all-cause mortality (adjusted hazard ratio [HR] 1.01; 95% confidence interval [CI] 0.72–1.41; P = 0.960), as outlined in Model 3. In contrast, the group receiving lipophilic statins exhibited a notable decrease in all-cause mortality risk (adjusted HR, 0.77; P = 0.003). Nonetheless, both hydrophilic and lipophilic statins were effective in diminishing the risk associated with cancer from its onset until death, with hydrophilic statins showing a greater level of efficacy.

Discussion

The potential of statins to reduce cancer-related mortality may provide avenues for targeted clinical interventions and management strategies.

Conclusions

Our study reveals that the use of lipophilic statins is significantly associated with lower all-cause and cancer-cause mortality risks among aging cancer survivors.

Background

This study aimed to assess the longitudinal association between dynapenic abdominal obesity and new-onset arthritis among the middle-aged and older Chinese population.

Methods

We included 6863 participants from the 2011 and 2015 waves of the China Health and Retirement Longitudinal Study (CHARLS). Dynapenia was defined as handgrip strength < 28 kg for males, and < 18 kg for females. Abdominal obesity was defined as a waist circumference ≥ 90 cm for males and ≥ 85 cm for females. Based on the definitions, all participants were divided into four groups: no dynapenia and no abdominal obesity (ND/NAO), abdominal obesity alone (ND/AO), dynapenia alone (D/NAO), and dynapenia and abdominal obesity (D/AO). The association between dynapenic abdominal obesity and new-onset arthritis was assessed by sex using the Poisson regression models.

Results

After a four-year follow-up, 1272 (18.53%) participants reported new-onset arthritis. Those in the D/AO group had a significantly increased risk of new-onset arthritis compared to those in the ND/NAO group (adjusted relative risk (RR): 1.34, 95% confidence interval (CI): 1.01–1.77). In females, the ND/AO (RR: 1.21, 95% CI: 1.03–1.43) and D/AO (RR: 1.39, 95% CI: 1.01–1.93) groups were associated with a higher risk of arthritis. This significant association was not observed in males.

Conclusions

Our results indicated that the combined effect of dynapenia and abdominal obesity significantly increased the risk of new-onset arthritis in females, but this association was not observed in males.

Background

The mechanisms at the basis of depression are still matter of debate, but several studies in the literature suggest common pathways with dementia (genetic predispositions, metabolic and inflammatory mechanisms, neuropathological changes) and other geriatric syndromes.

Aims

To evaluate the role of cortisol (as marker of the HPA, hypothalamus–pituitary–adrenal axis hyperactivity) in elderly subjects with depressive symptoms (by the means of the AGICO, AGIng and COrtisol, study), in relationship to the presence of the major geriatric syndromes.

Methods

The AGICO study enrolled patients from ten Geriatric Units in Italy. Every subject received a comprehensive geriatric assessment or CGA (including the Mini Mental State Examination or MMSE, Geriatric Depression Scale or GDS and Cornell Scale for Depression in Dementia or CSDD), the neurological examination (with a computed tomography scan or magnetic resonance imaging of the brain), the assessment of the metabolic syndrome (MetS), the evaluation of the cortisol activity by two consecutive urine collections (diurnal and nocturnal), a CGA-derived frailty index (FI) and a modified measure of allostatic load (AL).

Results

The MMSE scores were significantly and inversely related to the values of GDS (p < 0.001) and CSDD (p < 0.05), respectively. The patients with depressive symptoms (GDS/CSDD > 8) showed significantly increased disability, MetS, inflammation, FI and AL and significantly reduced MMSE and renal function.

The diurnal and nocturnal urinary cortisol levels in the patients with depressive symptoms (GDS/CSDD > 8) were higher with respects to controls (p < 0.05 for nocturnal difference).

Discussion

The AGICO study showed that the stress response is activated in the patients with depression.

Conclusion

The depression in elderly patient should be reconsidered as a systemic disease, with coexisting major geriatric syndromes (disability, dementia, frailty) and combined pathogenetic mechanisms (metabolic syndrome, impaired renal function, low-grade inflammation, and allostatic load). Cortisol confirmed its role as principal mediator of the aging process in both dementia and metabolic syndrome.