Effectiveness of adductor pollicis muscle thickness as risk marker for sarcopenia in Central-West Brazilian elderly communities

The adductor pollicis muscle thickness is not associated with physical function, lean mass, and nutritional status in patients on maintenance hemodialysis

Background

The adductor pollicis muscle thickness (APMT) may be associated with the muscle strength in patients on hemodialysis. However, the association of APMT with other physical function assessment tests has not yet been tested. Moreover, because it is considered a good nutritional indicator and not influenced by fluid overload, the APMT may be associated with the muscle mass and nutritional status of these patients. Therefore, the objective was to assess the association of APMT with physical function, muscle mass and nutritional status in patients on hemodialysis.

Methods

The APMT was measured using a skinfold caliper between pollicis finger and index finger. Physical function was evaluated by handgrip strength (HGS), Short Physical Performance Battery (SPPB), the sit-to-stand test, gait speed test, and timed up and go (TUG). Appendicular muscle mass index (AMMI) was estimated using bioelectrical impedance. The nutritional status was evaluated by the Malnutrition Inflammation Score (MIS).

Results

Fifty-one patients were included, 60.8% men, mean age 58.4 ± 12.6 years. There were no significant correlations of APMT with physical function, muscle mass and nutritional status. Values of APMT were not different between the groups according to adequate physical function or muscle mass. In the multiple linear regression analysis adjusted for sex, age and diabetes, APMT was not significantly associated with physical function tests, as HGS (β = 0.101; p = 0.778), gait speed (β = -0.014; p = 0.180), SPPB (β = -0.054; p = 0.590), TUG (β = 0.202; p = 0.109), lean mass AMMI (β = 0.058; p = 0.147).

Conclusion

There were no associations of APMT with physical function, muscle mass and nutritional status in patients on hemodialysis. We suggest APMT should not be used in physical function and nutritional assessments of these patients.

Accuracy of determining gait independence using adductor pollicis muscle thickness and skeletal muscle mass index in community-dwelling older adults undergoing outpatient rehabilitation

OBJECTIVE

The accuracy of determining gait independence using adductor pollicis muscle thickness (APMT) and skeletal muscle mass index (SMI) in community-dwelling older adults undergoing outpatient rehabilitation remains unclear. The purpose of this study was to compare the accuracy of determining gait independence using APMT and SMI in community-dwelling older adults undergoing outpatient rehabilitation.

METHODS

This study included 98 older adults (mean age: 85.2 years). Participants received outpatient rehabilitation one to three times a week. The main outcomes were gait independence (functional independence measure gait score: 6 or 7), skeletal muscle mass index (SMI), and APMT. Receiver operating characteristic (ROC) curves of APMT and SMI for gait independence were created, and cut-off values were calculated using the Youden index. Additionally, the area under the curve (AUC) s of the APMT model and the SMI model were compared using the Delong test.

RESULTS

Among the 98 participants (male; 19, female; 79), 53 (54.1%) were in the gait independent group. The cut-off value of APMT calculated from the ROC curve was 13 mm; the sensitivity and specificity were 67.9% and 86.7%, respectively; and the AUC was 0.800. The cut-off value of SMI calculated from the ROC curve was 4.6 kg/m2; the sensitivity and specificity were 90.6% and 26.7%, respectively; and the AUC was 0.582. The AUC for the APMT model was significantly higher than the SMI model (P < 0.001).

CONCLUSIONS

The results of this study show that the cut-off value of APMT for determining the gait independence was 13 mm. In addition, APMT had a higher accuracy of determining gait independence than SMI. This indicates that measuring APMT is more useful for predicting gait independence than SMI in community-dwelling older adults undergoing outpatient rehabilitation.

The predictive capacity of adductor pollicis muscle thickness for physical frailty in older adults

PURPOSE

There is a need for an easily measurable and reliable surrogate marker for physical frailty. This study aims to investigate the predictive capacity of adductor pollicis muscle thickness (AMPT), which can be easily measured externally and minimally influenced by subcutaneous adipose tissue, for physical frailty.

METHODS

A total of 589 patients (16.3% physically frail, 54.7% pre-frail, 29% robust) were included. Comprehensive geriatric assessments and anthropometric measurements of the patients were performed. APMT was assessed with a skinfold caliper. Physical frailty was diagnosed using the fried frailty phenotype. The predictive ability of APMT for the diagnosis of frailty was examined.

RESULTS

Of all the participants, 64.3% were women, and the average age was 74 ± 5.9 years. There was no significant difference in waist and hip circumference, or body mass index between the frail and non-frail groups. APMT, handgrip strength, gait speed, and calf circumference were significantly lower in frail patients than in non-frail ones (p < 0.01). The area under the curve (AUC) of APMT for physical frailty was determined to be 0.627 (95% confidence interval [CI] 0.58-0.66; p < 0.001). The best cut-off value for APMT was ≤ 18.5 mm for all individuals.

CONCLUSION

Adductor pollicis muscle thickness can be a useful anthropometric marker for evaluating the risk of physical frailty.

Predictive value of adductor pollicis muscle thickness for ultrasound-based sarcopenia in older adults

BACKGROUND

The adductor pollicis muscle thickness (APMT) is least affected by subcutaneous adipose tissue and can be measured externally. The aim of this study is to identify the predictive value of APMT for the diagnosis of ultrasonography-based sarcopenia.

METHODS

A total of 245 outpatients who were aged ≥65 years (49 with sarcopenia and 196 without sarcopenia) were included in this cross-sectional study. Patients with knee or hip replacement, advanced dementia, cerebrovascular disease, neurodegenerative disease, or decompensated heart failure and those using drugs that affect muscle functions, such as steroids, were excluded. Comprehensive geriatric assessments and anthropometric measurements of the patients were performed. APMT was assessed with a skinfold caliper. The diagnosis of sarcopenia was based on a low Sonographic Thigh Adjustment Ratio (STAR) index (anterior thigh muscle thickness by ultrasonography/body mass index [BMI] ratio, cutoff points are <1.4 for men and <1.0 for women) and low handgrip strength. The predictive ability of APMT for ultrasound-based sarcopenia diagnosis was examined.

RESULTS

There was no significant difference in terms of arm and calf circumference and BMI between the sarcopenic and nonsarcopenic groups. APMT, handgrip strength, anterior thigh muscle thickness, and gait speed were significantly lower in the patients with sarcopenia. The best cutoff points of APMT for sarcopenia were ≤16.5 for women and ≤21.5 for men with areas under the curve of 0.70 and 0.66, respectively, and negative predictive values of 91.2 and 94.3, respectively (P < 0.001).

CONCLUSION

APMT can be a useful anthropometric marker for ultrasound-based sarcopenia diagnosis.

Association between adductor pollicis muscle thickness and low skeletal muscle mass index in community-dwelling older women undergoing outpatient rehabilitation

OBJECTIVE

The performance of sarcopenia diagnosis using adductor pollicis muscle thickness (APMT) has been reported. However, the relationship between APMT and low skeletal muscle mass index (SMI) is unclear. The purpose of this study is to investigate the relationship between APMT and low SMI and APMT performance to diagnose low SMI in community-dwelling older women undergoing outpatient rehabilitation.

METHODS

This study included 65 older women (mean age: 86.4 years). Subjects were received outpatient rehabilitation one to three times a week. The main outcomes were low SMI as diagnosed using the Asian working group for sarcopenia 2019 and APMT. Logistic regression analysis was performed with low SMI as the dependent variable, APMT, and propensity score calculated using age, sex, number of medications, and updated Charlson comorbidity index as the independent variable. A receiver operating characteristic (ROC) curve of APMT for low SMI was created. A cut-off value was calculated using the Youden index.

RESULTS

Among the 65 subjects, 45 (69.2 %) had low SMI. The results of the logistic regression analysis showed a significant association between APMT and low SMI (odds ratio: 0.482 {95 % confidence interval [CI]: 0.313-0.744}). The cut-off value of APMT calculated from the ROC curve was 13 mm. The sensitivity and specificity of this cut-off value were 0.800 (95 % CI: 0.654-0.904) (36 out of 45 subjects) and 0.850 (95 % CI: 0.621-0.968) (17 out of 20 subjects), respectively. The positive predictive value, negative predictive value, and area under the curve were 0.923 (95 % CI: 0.791-0.984), 0.654 (95 % CI: 0.443-0.828), and 0.843 (95 % CI: 0.731-0.955), respectively. The APMT cut-off value of 13 mm is good to identify low SMI.

CONCLUSIONS

The results of this study show that APMT is associated with low SMI. Furthermore, the cut-off value of APMT for diagnosing low SMI was 13 mm. The APMT cut-off value of 13 mm is good to identify low SMI. Our findings indicate that measuring APMT is useful for diagnosing low SMI in community-dwelling older women undergoing outpatient rehabilitation.

Risk Factors Associated with Acute Sarcopenia in Patients Hospitalized with COVID-19

Background

The COVID-19 pandemic is an extraordinary global emergency. The pandemic has changed profoundly people's lifestyles. This resulted in reductions in physical activity and changes in dietary intakes that have the potential to accelerate sarcopenia.

Objective

The aim of this study was to evaluate the risk factors associated with acute sarcopenia in patients hospitalized with COVID-19.

Methods

This was a cross-sectional study conducted from January/2021 to March/2022 in a private hospital in Cuiabá/MT, central region of Brazil. The main variable was the prevalence of acute sarcopenia among adults hospitalized with COVID19. Patients were assessed for acute sarcopenia using the SARC-F ≥4 questionnaire (strength, assistance with walking, rise from a chair, climb stairs, and falls), grip strength (<20 kg (female) and <35 kg (male)), and calf circumference (<33 cm (female) and <34 cm (male)).

Results

In all, 213 patients aged 57.4 ± 15.4 years, 63.8% male, were studied. Thirty-four (16.0%) patients were diagnosed with acute sarcopenia. Advanced age (older people) and the percentage of weight lost ≥3% before hospitalization were independent risk factors for acute sarcopenia in hospitalized patients with COVID-19.

Conclusion

Acute sarcopenia was present in 16% of patients. Advanced age and percentage of weight lost ≥3% were independent risk factors for acute sarcopenia in patients hospitalized with COVID-19.

Low appendicular skeletal muscle mass index is associated with the anthropometric variables of post-menopausal women

BACKGROUND

Skeletal muscle mass is a central component of body composition and its decline is enhanced during aging. We verified the association between the appendicular skeletal muscle mass index (ASMI) with the anthropometric variables, biochemical variables, and lifestyle of postmenopausal women.

METHODS

Cross-sectional observational study conducted with postmenopausal women. Sociodemographic, clinical, lifestyle, physical activity level, biochemical, and anthropometric markers were collected. Body composition was assessed by dual-energy densitometry. Multivariate logistic regression analysis was applied.

RESULTS

One hundred fourteen women aged in average 66.0 ± 5.8 years were evaluated. There was a significant association between ASMI and age (p = 0.004), body mass (p < 0.001), body mass index (BMI) (p < 0.001), adductor pollicis muscle thickness (APMT) (p < 0.001), plasma calcium levels (p = 0.003), calf circumference (CC), and waist circumference (WC) (p < 0.001 for both). Adjusted regression analyses revealed the influence of BMI, CC, and APMT in the 1st tertile of ASMI (p < 0.05), BMI and CC in the 2rd tertile of ASMI.

CONCLUSIONS

ASMI was associated with BMI and muscle mass reserve indicators such as CC and DAPMT. In clinical practice, this indicates that simple, low-cost measures with good applicability can be used to predict and track the risk of depletion of skeletal muscle mass and consequent sarcopenia.

Metabolic syndrome and unfavorable outcomes on body composition and in visceral adiposities indexes among early breast cancer women post-chemotherapy

PURPOSE

The study objected to investigate potential changes in metabolic, dietary, and nutritional status in women with stages I-III breast cancer exposed to chemotherapy.

METHODS

Women who were starting chemotherapy with no previous treatment were recruited. Anthropometrics, bioelectrical impedance analysis, handgrip strength, blood pressure and blood sample were collected. Visceral adiposity index and lipid accumulation product were calculated. Dietary intake was evaluated, and the multiple source methods program was applied. Metabolic syndrome (MetS) was assessed following the NCEP-ATP III criteria (defined as 3 of 5 components of MetS). All data were collected at 2-time points: diagnosis (T0) and after 1 month of completion of therapy (T1). Mean, standard deviation, percentage, and ANOVA in SAS Studio® were used to explore the results.

RESULTS

61 women were included. We did not find any changes in anthropometrics and body composition. However, phase angle, extracellular water (EX) and ratio EX to total body water had expressive changes (p < 0.001). The results showed changes in lipid profile (p < 0.001), and greater unfavorable outcomes on adiposities index (p < 0.001). At the end of the study, 68,8% (N = 42) of the women developed MetS post-chemotherapy.

CONCLUSION

We have found supporting evidence for chemotherapy treatment resulting in worsening of nutritional markers, lipid profile and adiposity markers. After chemotherapy part of the sample developed MetS, even without changes in body weight, fat mass, and food intake. Breast cancer patients may benefit from targeted interventions before starting chemotherapy to prevent MetS post-treatment, and therefore reduce the risk of cardiovascular disease. Further investigation into this theme is needed.