Analysis of related factors for sarco-osteoporosis in middle-aged and elderly inpatients and development and validation of a nomogram.

BACKGROUND: Sarco-osteoporosis is a skeletal muscle disease associated with aging and complex pathological factors. At present, there are few studies on the analysis of its related factors, and a nomogram to estimate the risk of sarco-osteoporosis in middle-aged and elderly patients is not available. METHODS: A total of 386 patients admitted to our hospital from October 2021 to October 2022 were collected, and the general demographic data and clinical data of the patients were collected.386 subjects were enrolled in the study and randomly divided into training set and validation set at a ratio of 7:3. In the training set, the Least absolute shrinkage and selection operator(LASSO)regression technique was used to select the optimal predictive features, and multivariate logistic regression was used to screen the factors associated with sarco-osteoporosis, and a nomogram was constructed using meaningful variables from multivariate analysis. The performance of the nomograms was assessed and validated by Area Under Curve (AUC) and calibration curves. RESULTS: There were no significant differences in baseline characteristic of individuals in training set and validation set, six variables with non-zero coefficients were screened based on LASSO regression in the training set. Multivariate logistic regression analysis showed that the related factors for sarco-osteoporosis in middle-aged and elderly inpatients included age (OR = 1.08, 95%CI 1.03 ∼ 1.14), regular exercise (OR = 0.29, 95%CI 0.15 ∼ 0.56), albumin (OR = 0.9, 95%CI 0.82 ∼ 0.98), height (OR = 0.93, 95%CI 0.88 ∼ 0.99) and lean mass index (OR = 0.66, 95%CI 0.52 ∼ 0.85), and a nomogram was constructed based on the above factors. AUC of nomogram were 0.868(95%CI 0.825 ∼ 0.912) in the training set and 0.737(95%CI 0.646 ∼ 0.828) in the validation set. Calibration curve analysis showed that the predicted probability of sarco-osteoporosis had high consistency with the actual probability, and the absolute error of the training set and verification set was 0.018 and 0.03, respectively. CONCLUSIONS: Our research showed that the occurrence of sarco-osteoporosis was associated with age, regular exercise, albumin, height and lean mass index, and we have developed a nomogram that can be effectively used in the preliminary and in-depth risk prediction of sarco-osteoporosis in middle-aged and elderly hospitalized patients.

Sarcopenia and osteoporosis are interrelated in geriatric inpatients.

BACKGROUND: Sarcopenia and osteoporosis share an underlying pathology and reinforce each other in terms of negative outcomes. OBJECTIVE: To evaluate the extent of concomitance of sarcopenia as defined by the European Working Group on Sarcopenia in Older People (EWGSOP) and osteoporosis as defined by the World Health Organization (WHO) in geriatric inpatients and their relationship to nutritional and functional status. MATERIAL AND METHODS: A cross-sectional analysis of geriatric inpatients from the sarcopenia in geriatric elderly (SAGE) study. Measurements included dual X­ray absorptiometry for bone mineral density and appendicular muscle mass; gait speed and hand grip strength, the Barthel index, body mass index (BMI) and the mini nutritional assessment short form (MNA-SF). RESULTS: Of the 148 patients recruited for SAGE, 141 (84 women, 57 men; mean age 80.6 ± 5.5 years) had sufficient data to be included in this ancillary investigation: 22/141 (15.6%) were only osteoporotic, 19/141 (13.5%) were only sarcopenic and 20/141 (14.2%) osteosarcopenic (i.e. both sarcopenia and osteoporosis). The prevalence of osteoporosis was higher in sarcopenic than in non-sarcopenic individuals (51.3% vs. 21.6%, p < 0.001). Sarcopenic, osteoporotic and osteosarcopenic subjects had a lower BMI, MNA-SF, handgrip and gait speed (p < 0.05) than the reference group (those neither osteoporotic nor sarcopenic, n = 80). The Barthel index was lower for sarcopenic and osteosarcopenic (p < 0.05) but not for osteoporotic (p = 0.07) subjects. The BMI and MNA-SF were lower in osteosarcopenia compared to sarcopenia or osteoporosis alone (p < 0.05) while there were no differences in functional criteria. CONCLUSION: Osteoporosis and sarcopenia are linked to nutritional deficits and reduced function in geriatric inpatients. Co-occurrence (osteosarcopenia) is common and associated with a higher degree of malnutrition than osteoporosis or sarcopenia alone.

Osteosarcopenia: where bone, muscle, and fat collide.

As the world's population ages, the prevalence of chronic diseases increases. Sarcopenia and osteoporosis are two conditions that are associated with aging, with similar risk factors that include genetics, endocrine function, and mechanical factors. Additionally, bone and muscle closely interact with each other not only anatomically, but also chemically and metabolically. Fat infiltration, a phenomenon observed in age-related bone and muscle loss, is highly prevalent and more severe in sarcopenic and osteoporotic subjects. Clinically, when individuals suffer a combination of both disorders, negative outcomes such as falls, fractures, loss of function, frailty, and mortality increase, thus generating significant personal and socio-economic costs. Therefore, it is suggested that when bone mineral density loss is synchronic with decreased muscle mass, strength, and function, it should be interpreted as a single diagnosis of osteosarcopenia, which may be preventable and treatable. Simple interventions such as resistance training, adequate protein and calcium dietary intake, associated with maintenance of appropriate levels of vitamin D, have a dual positive effect on bone and muscle, reducing falls, fractures, and, consequently, disability. It is essential that fracture prevention approaches-including postfracture management-involve assessment and treatment of both osteoporosis and sarcopenia. This is of particular importance as in older persons the combination of osteopenia/osteoporosis and sarcopenia has been proposed as a subset of frailer individuals at higher risk of institutionalization, falls, and fractures. This review summarizes osteosarcopenia epidemiology, pathophysiology, diagnosis, outcomes, and management strategies.

Osteosarcopenia Predicts Falls, Fractures, and Mortality in Chilean Community-Dwelling Older Adults.

OBJECTIVES: The objective of this study was to describe the prevalence of osteosarcopenia and its association with falls, fractures, and mortality in community-dwelling older adults. DESIGN: Follow-up of ALEXANDROS cohorts designed to study disability associated with obesity in older adults. SETTING AND PARTICIPANTS: Community-dwelling people aged 60 years and older living in Chile. MEASURES: At baseline, 1119 of 2372 participants had a dual-energy X-ray absorptiometry scan and the measurements for the diagnosis of sarcopenia. World Health Organization standards for bone mineral density were used to classify them as normal, osteopenia, and osteoporosis. Sarcopenia was identified using the algorithm from the European Working Group on Sarcopenia in Older People 1, validated for the Chilean population. Osteosarcopenia was defined as having sarcopenia plus osteoporosis or osteopenia. RESULTS: The sample of 1119 participants (68.5% female) had a mean age of 72 years. At baseline, osteoporosis was identified in 23.2%, osteopenia in 49.8%, sarcopenia in 19.5%, and osteosarcopenia in 16.4% of the sample. The prevalence of osteosarcopenia increases with age, reaching 33.7% for those older than 80 years. Sarcopenia was found in 34.4% of osteoporotic people and osteoporosis in 40.8% of those with sarcopenia. After 5640 person-years of follow-up, 86 people died. The mortality was significantly higher for the group with osteosarcopenia (15.9%) compared with those without the condition (6.1%). After an adjusted Cox Regression analysis, the hazard ratio for death in people with osteosarcopenia was 2.48. Falls, fractures, and functional impairment were significantly more frequent in osteosarcopenic patients. CONCLUSIONS AND IMPLICATIONS: Osteosarcopenia is a common condition among older adults and is associated with an increased risk of falls, fractures, functional impairment, and mortality. Considering the high proportion of sarcopenia among osteoporotic patients and vice versa, screening for the second condition when the first is suspected should be advised.

[Osteosarcopenia: A narrative review]. / Osteosarcopenia: una revisión narrativa.

Osteosarcopenia is a phenotype resulting from the combination of sarcopenia and low bone mineral density. Based on the relationship between bone and muscle, this phenotype is associated with a higher risk of falls, fractures, dependence, and health care costs than its individual components. Given its characteristics, it can be considered as a new geriatric syndrome. Therefore, understanding its pathophysiology and diagnosis, as well as its non-pharmacological and pharmacological management is a task of great importance. The problem in addressing this phenotype arises from the tradition of managing sarcopenia and osteoporosis separately. There is also a lack of consensus on what to call it (sarco-osteopenia, sarco-osteoporosis, osteosarcopenia). The aim of this review is to outline the epidemiology, pathophysiology, diagnoses, adverse events, and management of osteosarcopenia.

Incremental predictive value of sarcopenia for incident fracture in an elderly Chinese cohort: results from the Osteoporotic Fractures in Men (MrOs) Study.

OBJECTIVES: We examined whether sarcopenia is predictive of incident fractures among older men, whether the inclusion of sarcopenia in models adds any incremental value to bone mineral density (BMD), and whether sarcopenia is associated with a higher risk of fractures in elderly with osteoporosis. METHODS: A cohort of 2000 community-dwelling men aged ≥65 years were examined for which detailed information regarding demographics, socioeconomic, medical history, clinical, and lifestyle factors were documented. Body composition and BMD were measured using dual energy X-ray absorptiometry. Sarcopenia was defined according to the Asian Working Group for Sarcopenia (AWGS) algorithm. Incident fractures were documented during the follow-up period from 2001 to 2013, and related to sarcopenia and its component measures using Cox proportional hazard regressions. The contribution of sarcopenia for predicting fracture risk was evaluated by receiver operating characteristic analysis, net reclassification improvement (NRI), and integrated discrimination improvement (IDI). RESULTS: During an average of 11.3 years of follow-up, 226 (11.3%) men sustained at least 1 incident fracture, making the incidence of fractures 1200.6/100,000 person-years. After multivariate adjustments, sarcopenia was associated with increased fracture risk (hazard ratio [HR], 1.87, 95% confidence interval [CI], 1.26-2.79) independent of BMD and other clinical risk factors. The addition of sarcopenia did not significantly increase area under curve or IDI but significantly improved the predictive ability on fracture risk over BMD and other clinical risk factors by 5.12% (P < .05) using the NRI approach. In addition, the combination of osteoporosis and sarcopenia (sarco-osteoporosis) resulted in a significantly increased risk of fractures (HR, 3.49, 95% CI, 1.76-6.90) compared with those with normal BMD and without sarcopenia. CONCLUSIONS: This study confirms that sarcopenia is a predictor of fracture risk in this elderly men cohort, establishes that sarcopenia provides incremental predictive value for fractures over the integration of BMD and other clinical risk factors, and suggests that the combination of osteoporosis and sarcopenia could identify a subgroup with a particularly high fracture risk.