Τετάρτη 26 Ιουνίου 2019

Aging Clinical and Experimental Research

Waist circumference or sarcopenic obesity: which is more predictive?


Methodological aspects in studies involving high-intensity interval training


Response to letter to the editor on "Methodological aspects in studies involving high-intensity interval training"


Basic guide for the application of the main variables of resistance training in elderly


Possible association between circulating CTRP3 and knee osteoarthritis in postmenopausal women

Abstract

Background

Osteoarthritis (OA) is considered as one of the most common cause of chronic pain and functional disabilities in the elderly.

Aim

To examine serum levels of complement-C1q TNF-related protein 3 (CTRP3) in postmenopausal women with knee OA.

Methods

A population-based cross-sectional study was performed in women who complained of chronic knee pain. All subjects were followed by clinical and weight-bearing bilateral anteroposterior radiographical examinations. The Kellgren and Lawrence (K&L) score was used for knee OA classification. Two groups of postmenopausal women were chosen to investigate CTRP3 as an OA marker who had the K&L score ≥ 3 as a case group and K&L ≤ 1 as a control group. Serum levels of CTRP3 were measured in two groups.

Results

According to K&L classification, 36 subjects with knee OA and 54 age-matched without or mild OA were selected. After adjusting the obtained data for taking NSAID drugs, the concentration of Ln CTRP3 in serum of patients with OA was lower compared to control group [mean ± SE, (0.39 ± 0.05 ng/ml vs. 0.48 ± 0.03 ng/ml, respectively, p = 0.04)].

Discussion

There is a possible role for CTRP3 as an anti-inflammatory mediator in knee OA in postmenopausal women.

Conclusions

Our results indicate an association between CTRP3 and knee OA. However, a much more robust study is required to draw that circulating CTRP3 could be a clinical marker for osteoarthritis.



Cut-off points for weight and body mass index adjusted bioimpedance analysis measurements of muscle mass

Abstract

Aim

Low skeletal muscle mass (LMM) is a criterion to define both sarcopenia and malnutrition. Muscle mass varies with gender, height, weight or fat mass, and many indices of adjusted-muscle mass have been proposed. We aimed to find reference cut-off points of the skeletal muscle mass index (SMMI) adjusted for weight and body mass index (BMI) in Turkish population.

Materials and methods

Adults between 18 and 39 years of age and community-dwelling older adults of 60–99 years of age were included. Body composition was assessed with bioimpedance analysis (BIA). SMMI adjusted for weight and BMI were calculated [SMMI (weight) and SMMI (BMI)]. Muscle strength was assessed by hand-grip-strength with hand dynamometer. SMMI (weight) cut points were calculated from the healthy young adults' data as "mean SMMI-2 standard deviation (SD)". SMMI (BMI) cut points that predict low muscle strength were calculated with ROC analysis. To define low muscle strength, we used three currently suggested low muscle-strength thresholds, i.e., 32 kg/22 kg, 30 kg/20 kg, 26 kg/16 kg in males/females, respectively.

Results

301 healthy young adults (187 male, 114 female) and 992 older people (308 male, 684 female) were included. LMM cut points for SMMI (weight) were 37.4% and 33.6% for males and females, respectively. SMMI (BMI) cut points that best predict the low grip-strength for 32 kg/22 kg; 30 kg/20 kg; 26 kg/16 kg thresholds were1.017 kg/BMI and 0.677 kg/BMI; 1.014 kg/BMI and 0.710 kg/BMI; 1.036 kg/BMI and 0.770 kg/BMI for males and females, respectively.

Conclusions

Muscle-mass adjustment methods and techniques show diversity among the studies and have impact on the LMM cut-off points. This study presents population specific LMM thresholds for skeletal muscle mass adjusted for weight and BMI aiming to increase and improve the general applicability of the leading sarcopenia consensus definitions.



Prevalence of sarcopenia and 9-year mortality in nursing home residents

Abstract

Background

Sarcopenia is a progressive loss of muscle mass, strength, and function. It is linked to functional decline, and secondary to this, to nursing home admission.

Aims

To look into the prevalence of sarcopenia in a nursing home population and to gain insight into the relation of sarcopenia with mortality in this cohort.

Methods

A longitudinal cohort follow-up started in October 2007 in 52 nursing homes in Belgium. Following data were procured: anthropometrics (weight/length), body composition (muscle mass through bio-impedance absorptiometry, BIA), functional status (Katz), nutritional status (mini-nutritional assessment-short form, MNA), and a number of laboratory parameters.

Results

In total, 745 residents were included. Mean age was 84.6 ± 7.2 years. Mean follow-up time was 1632 ± 1026 days. In total, 17% had severe sarcopenia, 45% had moderate sarcopenia, and 38% had no sarcopenia. Following items were significant (p < 0.05) on univariate analysis with mortality as outcome: sarcopenia, gender, BMI, skeletal muscle mass, age, MNA, and functional level. In multivariate analysis, only MNA, skeletal muscle mass, and age were still significant. Odds ratio for skeletal muscle mass was 1.171 for the highest percentile group, 2.277 for the middle percentile group, and 4.842 for the lowest percentile group.

Discussion

The prevalence of sarcopenia was higher than in comparative literature, for which there are a few hypotheses. Cut-off values for sarcopenia using BIA for specific cohorts need to be re-evaluated.

Conclusions

It seems to remain useful to screen for muscle mass in institutionalized elderly, because there is a clear and significant correlation with long-term mortality.



Prevalence and related factors of office and home hypotension in older treated hypertensive patients

Abstract

Background

Older hypertensive adults under treatment are especially susceptible to hypotensive episodes, which entail an elevated risk. However, data on this subject are very scarce.

Aim

The purpose of this study was to determine the prevalence and predictors of office and home hypotension in older (≥ 65 years) treated hypertensive adults.

Methods

Blood pressure (BP) was measured at the office and at home, using a validated oscillometric device. Office and home hypotension were defined as systolic BP (SBP) < 110 and/or diastolic BP (DBP) < 70 mmHg, and SBP < 105 and/or DBP < 65 mmHg, respectively. Masked hypotension was considered when office BP ≥ 110/70 and home BP < 105 and/or < 65 mmHg. We evaluated factors associated with hypotension both at the office and at home through multivariable models.

Results

The prevalence of hypotension among the 302 patients included in the study was 29.8% at the office and 23.9% at home, whereas the prevalence of masked hypotension was 10.4%. Older age, lower body mass index and use of calcium channel blockers were associated with office hypotension, while older age, diabetes and ischemic heart disease were predictors for home hypotension.

Conclusion

Hypotension is frequent in older hypertensive adults under treatment. The presence of diabetes, ischemic heart disease and older age should alert for screening of hypotension at home to avoid overtreatment.



Practical guidance for engaging patients in health research, treatment guidelines and regulatory processes: results of an expert group meeting organized by the World Health Organization (WHO) and the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO)

Abstract

There is increasing emphasis on patient-centred research to support the development, approval and reimbursement of health interventions that best meet patients' needs. However, there is currently little guidance on how meaningful patient engagement may be achieved. An expert working group, representing a wide range of stakeholders and disciplines, was convened by the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO) and the World Health Organization (WHO). Through a structured, collaborative process the group generated practical guidance to facilitate optimal patient engagement in clinical development and regulatory decisions. Patient engagement is a relational process. The principles outlined in this report were based on lessons learned through applied experience and on an extensive dialogue among the expert participants. This practice guidance forms a starting point from which tailoring of the approach to suit different chronic diseases may be undertaken.



Predictive model of length of stay in hospital among older patients

Abstract

Background

Most National Health Service (NHS) hospital bed occupants are older patients because of their frequent admissions and prolonged length of stay (LOS). We evaluated demographic and clinical factors as predictors of LOS in a single NHS Trust and derived an equation to estimate LOS.

Methods

Stepwise logistic and linear regressions were used to predict prolonged LOS (upper-quintile LOS > 17 days) and LOS respectively, from demographic factors and acute and pre-existing conditions.

Results

Of 374 (men:women = 127:247) admitted patients (20% to orthogeriatric, 69% to general medical and 11% to surgical wards), median age of 85 years (IQR = 78–90), 77 had acute first hip fracture; 297 had previous hip fracture (median time since previous fracture = 2.4 years) and 21 (7.1%) had recurrent hip fracture, with median time since first fracture = 2.4 years. Median LOS was 6.5 days (IQR = 1.8–14.8), and 38 (10.2%) died after 4.8 days (IQR = 1.6–14.3). Prolonged LOS was associated with discharge to places other than usual residence: OR = 3.1 (95% CI 1.7–5.7), acute stroke: OR = 10.1 (3.7–26.7), acute first hip fractures: OR = 6.8 (3.1–14.8), recurrent hip fractures: OR = 9.5 (3.2–28.7), urinary tract infection/pneumonia: OR = 4.0 (2.1–8.0), other acute fractures: OR = 9.8 (3.0–32.3) and malignancy: OR = 15.0 (3.1–71.8). Predictive equation showed estimated LOS was 11.6 days for discharge to places other than usual residence, 15 days for pre-existing or acute stroke, 9–14 days for acute and recurrent hip fractures, infections, other acute fractures and malignancy; these factors together explained 32% of variability in LOS.

Conclusions

A useful estimate of outcome and LOS can be made by constructing a predictive equation from information on hospital admission, to provide evidence-based guidance for resource requirements and discharge planning.



Alexandros Sfakianakis
Anapafseos 5 . Agios Nikolaos
Crete.Greece.72100
2841026182
6948891480

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