Surgical aortic valve replacement in elderly patients: effects on physical performance, cognitive function and health-related quality of life.

BACKGROUND: Surgical aortic valve replacement (SAVR) is still the gold standard for treating aortic valve stenosis (AVS). Its effectiveness has been extensively examined in terms of perioperative mortality, but its impact on overall health has received much less attention. AIMS: To assess the physical performance, cognitive status, and health-related quality of life of elderly patients undergoing SAVR, in the short, medium and long term. METHODS: This single-center prospective study enrolled patients aged > 70 years who underwent isolated SAVR for severe AVS. Data were collected on each participant's clinical status, physical performance, cognitive status, mood, and health-related quality of life. This multidimensional geriatric assessment was performed before surgery (T0), and again at 45 days (T1), 3 months (T2), 6 months (T3), and 12 months (T4) post-surgery. Baseline (T0) and follow-up (T2-T4) data were compared separately for patients grouped by gender using paired t-tests. RESULTS: Data from a total of 35 patients were analyzed. Compared with the baseline (T0), nutritional status worsened at T1, then gradually improved through to T4. Physical performance, mood, and health-related quality of life improved significantly after surgery. Cognitive function showed no change through to T3, but then deteriorated at T4. CONCLUSIONS: Our results show that SAVR in patients over 70 years of age has a positive impact on nutrition, mood, and health-related quality of life. Cognitive function was not negatively affected in the short and medium term, although it deteriorated in the long term. SAVR also had a positive impact on the physical performance of our sample.

Falls may trigger body weight decline in nursing home residents.

OBJECTIVES: The effect of falls on changes in body weight is still unknown. This study investigated the extent to which falls can modify the course of body weight in nursing home residents, and aimed to identify the factors that might modulate this effect. METHODS: The sample included 132 residents aged ≥60 y who had experienced at least one fall after nursing home admission. Body weight was measured monthly in the 6 mo after the fall in the entire sample, and also in the 6 mo prefall in a subsample (n = 111). Sociodemographic and health data were obtained from medical records. Linear mixed models were used to estimate the average monthly changes in body weight after the fall in the total sample, and as a function of the sociodemographic and medical factors. RESULTS: Falls modified the course of body weight in the total sample (ß = -0.28, 95% confidence interval, -0.44 to -0.12, for the change in slope before and after fall) in all age classes and especially in individuals with severe cognitive impairment who received less-frequent informal visits (ß = -0.55, 95% confidence interval, -0.87 to -0.22). Individuals aged ≥90 y and those with severe cognitive impairment had a steeper monthly weight decline in the 6 mo postfall, of 0.23 and 0.35 kg greater, respectively, than their younger and cognitively healthier counterparts. CONCLUSIONS: Falls may trigger a body weight loss in nursing home residents, especially in the oldest old people and those with severe cognitive impairment who receive little support from informal caregivers. These findings highlight the importance of monitoring nutritional status of people who live in institutions after falls.

Gender differences in the impact of metabolic syndrome components on mortality in older people: A systematic review and meta-analysis.

BACKGROUND AND AIMS: The influence of metabolic syndrome (MetS) on mortality may be influenced by age- and gender-related changes affecting the impact of individual MetS components. We investigated gender differences in the association between MetS components and mortality in community-dwelling older adults. METHODS AND RESULTS: Prospective studies were identified through a systematic literature review up to June 2019. Random-effect meta-analyses were run to estimate the pooled relative risk (RR) and 95% confidence intervals (95% CI) of all-cause and cardiovascular (CV) mortality associated with the presence of MetS components (abdominal obesity, high triglycerides, low HDL cholesterol, high fasting glycemia, and high blood pressure) in older men and women. Meta-analyses considering all-cause (103,859 individuals, 48,830 men, 55,029 women; 10 studies) and CV mortality (94,965 individuals, 44,699 men, 50,266 women; 8 studies) did not reveal any significant association for abdominal obesity and high triglycerides in either gender. Low HDL was associated with increased all-cause (RR = 1.16, 95% CI: 1.02-1.32) and CV mortality (RR = 1.34, 95% CI: 1.03-1.74) among women, while weaker results were found for men. High fasting glycemia was associated with higher all-cause mortality in older women (RR = 1.35, 95% CI: 1.22-1.50) more than in older men (RR = 1.21, 95% CI: 1.13-1.30), and CV mortality only in the former (RR = 1.36, 95% CI: 1.04-1.78). Elevated blood pressure was associated with increased all-cause mortality (RR = 1.16, 95% CI: 1.03-1.32) and showed marginal significant results for CV death only among women. CONCLUSIONS: The impact of MetS components on mortality in older people present some gender differences, with low HDL cholesterol, hyperglycemia, and elevated blood pressure being more strongly associated to all-cause and CV mortality in women.

Malnutrition is associated with increased risk of hospital admission and death in the first 18 months of institutionalization.

OBJECTIVES: This study aimed to investigate the association between different nutritional and anthropometric parameters with the risk of hospitalizations and death within 18 months from nursing home admission. Our hypothesis was that measures of malnutrition could be more strongly associated with worse clinical outcomes than measures of overweight/obesity. METHODS: This prospective study involved 144 older adults newly admitted in nursing home and followed up over 18 months. A multidimensional assessment focusing on clinical, functional and cognitive status was performed at baseline. Assessment also included body mass index (BMI), waist circumference, calf circumference, MNA Short-Form (MNA-SF), and serum albumin and lymphocytes levels. Anthropometric measurements were repeated at 6 months. Data on hospitalizations and mortality over the study period, with their respective causes, were obtained from administrative data. The associations between baseline nutritional parameters and the risk of hospitalizations or death were analyzed through multinomial logistic regressions and Cox regressions, respectively. RESULTS: During the follow-up, 64 individuals (44.4%) were hospitalized, and 52 (36.1%) died. Residents who reported low MNA-SF and calf circumference at nursing home admission had more than threefold-increased odds of hospitalizations compared with their healthier counterparts. Adults with low calf circumference also had the highest mortality (HR = 3.39, 95%CI:1.80-6.39), while more attenuated results were observed for low serum albumin, MNA-SF, and BMI (either when considering cut-offs of excess weight or malnutrition). When assessing the associations between 0 and 6 month changes in calf circumference and mortality in the following 12 months, we found that each 1 cm decrease in calf circumference increased the one-year mortality by 29% (95%CI 1.04-1.60). CONCLUSIONS: Malnutrition, but not overweight/obesity, seems associated with a higher risk of hospitalization and mortality after nursing home admission. Monitoring calf circumference, in particular, may help in the early detection of individuals who are potentially vulnerable to adverse health-related outcomes after institutionalization.

The Impact of Smoking on Bone Metabolism, Bone Mineral Density and Vertebral Fractures in Postmenopausal Women.

BACKGROUND: Smoking is recognized among the risk factors for osteoporosis, but only few studies have comprehensively explored its influence on bone metabolism and strength. We aimed to evaluate smoking effects on calcium-phosphate metabolism, bone mineral density (BMD) and fracture risk in postmenopausal women. METHODS: Our sample included 1067 postmenopausal women who arrived to our osteoporosis outpatient clinic. Anamnestic data, smoking habits (categorized as never, former, and current; and by smoking intensity and duration), biochemical parameters, lumbar/femoral BMD, and presence of vertebral fractures were recorded. In a subsample of 357 women, the changes in BMD after a 2-yr follow-up period were also assessed. RESULTS: Current smokers had shorter reproductive age, lower body mass index, and higher prevalence of heavy alcohol consumption than former/never smokers. They also had lower PTH values and weaker linear association between serum vitamin D and parathyroid hormone (current ß = -0.11[SE = 0.004]; former ß = -0.14[SE = 0.01]; never ß = -0.20[SE = 0.003]; p < 0.01 for all). Baseline BMD did not reflect differences based on smoking habits, duration or intensity. However, after 2 years, only current smokers significantly worsened in femural BMD. After adjustment for confounders, the chance of having sustained vertebral fractures at the first evaluation increased by 74% (95% confidence interval:1.07-2.83) in current compared with never smokers, especially among heavy smokers. CONCLUSIONS: Smoking may negatively affect bone by inhibiting vitamin D-parathyroid hormone axis, reducing estrogen exposure, promoting risky health behaviors, and accelerating bone loss, especially at the femur. No significant differences were observed in these outcomes among former smokers, suggesting that quitting smoking has beneficial effects on bone health.

Phase angle and metabolic equivalents as predictors of frailty transitions in advanced age.

OBJECTIVES: The aim of this prospective study was to investigate whether two cellular and metabolic health indices, phase angle (PhA) and metabolic equivalents (METs), can predict changes in frailty states in fit community-dwelling older people. METHODS: A sample of 118 individuals aged ≥65 years who attended a twice-weekly mild fitness program of aerobic and/or resistance exercises was enrolled in the study. At baseline and after three years, individuals underwent a clinical examination, biochemical determinations, bioelectrical impedance analysis, body composition assessment with dual energy X-ray absorptiometry, physical performance tests, and frailty and sarcopenia assessment. In 78 participants was executed indirect calorimetry, too. Based on frailty transitions during the follow-up between non-frailty, pre-frailty and frailty, participants were categorized as improved, stable (non-frail or pre-frail), and worsened or remaining frail. The chances to experience different frailty changes by baseline PhA and METs were explored through multinomial regression analysis and expressed as odds ratios (OR) and 95% Confidence intervals (95%CI). RESULTS: During the follow-up, 8 participants improved in frailty status, 84 were stable and 26 worsened or remained frail. For each one-unit increase in PhA, the odds of improving in frailty increased by 4.53 times (95%CI:1.18-17.46); while for each one-unit increase in METs, the odds of worsening in frailty decreased by 65% (95%CI:0.16-0.79). CONCLUSIONS: PhA and METs may be indirect measures of functional reserve, with lower values being potential biomarkers of evolving frailty.

Influence of serum 25-hydroxyvitamin D levels, fat-free mass, and fat mass on bone density, geometry and strength, in healthy young and elderly adults.

PURPOSE: The association between serum 25-hydroxyvitamin D (25-OHD) levels and cortical/trabecular bone parameters has been explored in the elderly, but less so in younger adults; body composition may also influence bone parameters across the life span. We aimed to investigate, with peripheral quantitative computerized tomography (pQCT), the relationship between serum 25-OHD levels and bone geometry and strength and, at the same time, to explore the influence of fat mass and fat-free mass on bone parameters, for the tibia and radius, in healthy young and elderly adults. METHODS: The study involved 149 healthy adults grouped by age: 65 were under 65 years old, and 84 were older. All participants were assessed in terms of: clinical history; serum 25-OHD levels; fat-free mass (FFM) and fat mass (FM), measured with DXA; total and cortical bone cross-sectional area (CSA, CSAc), and trabecular and cortical bone mineral density (BMDt, BMDc); and fracture load x and y for the tibia and radius, measured with pQCT. RESULTS: In the younger group, the association between 25-OHD levels and bone parameters did not remain as significant for any parameters after multivariate adjustment. In the elderly, 25-OHD correlated with CSAc (partial R2 = 0.33), fracture load x (partial R2 = 0.54), and fracture load y (partial R2 = 0.46) for the radius, and marginally with BMDt (partial R2 = 0.09; B-H adjusted p < 0.05 for all) for the tibia. FFM correlated with all bone parameters in both age groups. In the elderly group alone, FM correlated with BMDt at the tibia (r = 0.25, p < 0.05), with CSA at both sites (radius r = -0.25, p < 0.05; tibia r = -0.32, p < 0.001), and with fracture load y on the radius (r = -0.22, p < 0.05). CONCLUSION: While serum 25-OHD levels correlated only weakly with bone parameters in younger adults, a significant relationship was observed for elderly people. Fat-free mass showed positive simple correlation with pQCT-derived bone parameters in both age groups except with BMDc in the younger group. Further longitudinal studies are needed to clarify these relationships.