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1.
Acta Clin Belg ; 71(4): 227-30, 2016 Aug.
Article in English | MEDLINE | ID: mdl-27118256

ABSTRACT

OBJECTIVES: Frailty is a geriatric syndrome characterized by decreased physiological reserves and an age-related vulnerability to stressors with higher risk of adverse health outcomes. Comprehensive geriatric assessment (CGA) might detect frailty but is time-consuming, implying the need for initial frailty screening. Most frailty screening tools do not include functional measures. Hand grip strength (HGS) is a reliable surrogate for overall muscle strength and predicts functional decline, morbidity and mortality. No studies are available in cancer patients on HGS as screening tool for frailty. We aimed to assess whether HGS can be used as a screening tool to predict an abnormal CGA and therefore frailty. METHODS: Single centre cohort study in 59 patients aged 70 years or more with a haematological malignancy. HGS was measured using a vigorimeter. A patient was considered frail if any of the CGA elements were impaired. RESULTS: Mean HGS before start of therapy in women was 37.0 ± 14.3 kPa and in men 66.1 ± 13.1 kPa. An abnormal CGA was present in 52 subjects (88%). HGS was associated with concurrent abnormal CGA (p = 0.058 in women, p = 0.009 in men). AUC was 0.800 (SE = 0.130) in women and 0.847 (SE = 0.118) in men. Optimal HGS cut-off points for likelihood of abnormal CGA were ≤52 kPa in women and ≤80 kPa in men. DISCUSSION: In older patients with haematological malignancies, impairment in muscle function is present at diagnosis. HGS seems a promising screening tool to identify patients with abnormal CGA.


Subject(s)
Frail Elderly/statistics & numerical data , Geriatric Assessment/methods , Hand Strength/physiology , Hematologic Neoplasms/epidemiology , Hematologic Neoplasms/physiopathology , Aged , Aged, 80 and over , Female , Humans , Male , ROC Curve
2.
Bone ; 29(3): 286-91, 2001 Sep.
Article in English | MEDLINE | ID: mdl-11557374

ABSTRACT

Bone loss is accelerated in elderly men. Little is known about the pathophysiology of senile bone loss or about the role played by relative sex steroid deficiency in the determination of bone turnover in elderly men. In a population-based sample of 283 healthy, ambulatory men, aged 71-86 years, we sought to determine whether lower bone mineral density (BMD; using dual-energy X ray absorptiometry at the hip and the forearm) is associated with higher bone turnover, and we assessed the impact of sex steroid status on bone turnover. Indices of bone formation, serum osteocalcin (s-Oc), and bone-specific alkaline phosphatase (s-bAP) and indices of bone resorption, serum and urinary telopeptide of type I collagen (s-CTx and u-CTx), and urinary free deoxypyridinoline (u-Dpd) were intercorrelated (r = 0.29-0.76, p < 0.001). Bone turnover indices were negatively associated with BMD (r = -0.17 to -0.34, p < 0.01). In univariate analyses, there was a trend toward weak negative associations of bone turnover markers with serum free testosterone (FT), significant only for s-Oc and s-CTx (r = -0.16 and -0.14, p < 0.01), and with serum free estradiol (FE(2)), significant only for u-CTx and s-CTx (r = -0.18 and -0.19; p < 0.01). The lower quartile for FE(2) was associated with higher values of u-CTx (p = 0.003) and s-CTx (p < 0.001). However, in multivariate models, for the individual markers of bone turnover a negative association between estradiol (E(2)) or FE(2) and s-CTx was the only remaining (marginally) significant association (p < 0.05) for the relationship between sex steroids and any of the bone turnover indices assessed. In community-dwelling men age >70 years, bone turnover rate, as determined by biochemical markers, is a significant negative determinant of prevalent BMD. However, the findings do not support the view that relative differences in sex steroid status, as observed among healthy elderly men, have a major impact on bone turnover.


Subject(s)
Aging/physiology , Bone Density , Bone Remodeling , Testosterone/blood , Aged , Aged, 80 and over , Biomarkers , Cohort Studies , Cross-Sectional Studies , Humans , Male , Motor Activity
3.
Calcif Tissue Int ; 65(5): 354-8, 1999 Nov.
Article in English | MEDLINE | ID: mdl-10541759

ABSTRACT

The aim of this study was to assess the efficiency of a self-administered questionnaire to identify subjects with postmenopausal osteoporosis in the setting of first line medical care. A sample of 300 postmenopausal women completed the questionnaire based on 18 items. Bone mineral density at the lumbar spine (BMD-L), total hip (BMD-H), and femoral neck (BMD-N) was used as objective criterion for evaluation. The mean risk score was 8.2 +/- 3.21. BMD was correlated with total risk score: r = -0.32 for BMD-L, -0.36 for BMD-N, and -0.43 for BMD-H. Cutoff points for the risk score (equal likelihood points) according to a T-score threshold of -2.5 were 8.6 for BMD-L and BMD-N and 9.3 for BMD-H; specificity and sensitivity was 62% and 62%, respectively, for BMD-L, 65% and 62% for BMD-N, and 75% and 63% for BMD-H. Stepwise multiple regression analysis of the questionnaire items in relation to BMD showed higher correlation coefficients for models including individual items rather than the overall risk score. Items concerning low weight, older age, and wrist fracture after 50 years of age were always selected as significant determinants of BMD (R = 0.43-0.55). Hormonal replacement therapy was also an important determinant. Lifestyle-related items did not contribute significantly. In conclusion, the diagnostic performance of the 18-item self-administered questionnaire was poorer than a shortened questionnaire omitting lifestyle factors. The clinical utility of a questionnaire should ultimately be evaluated in the specific optic of a chosen global strategy for prevention of osteoporotic fractures.


Subject(s)
Osteoporosis, Postmenopausal/prevention & control , Surveys and Questionnaires , Absorptiometry, Photon , Age Factors , Aged , Aged, 80 and over , Analysis of Variance , Body Weight , Bone Density/physiology , Bone and Bones/metabolism , Cohort Studies , Female , Humans , Life Style , Middle Aged , Multicenter Studies as Topic , Osteoporosis, Postmenopausal/diagnosis , Regression Analysis , Risk Factors
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