Sarcopenia screening strategies in older people: a cost effectiveness analysis in Iran

Perceptions of healthcare providers on benefits, risks and barriers regarding intradialytic exercise among haemodialysis patients

PURPOSE

Clinical guidelines call for the inclusion of exercise interventions in every patient's dialysis session, but these recommendations are rarely adopted. Healthcare providers play a key role in this. Therefore, the aim of this study was to explore how healthcare providers perceive the benefits, risks and barriers of intradialytic exercise (IDE).

METHODS

We conducted 21 individual, semi-structured interviews with 11 nurses, 5 nephrologists, 3 training assistants and 2 managers from two dialysis centres in Slovakia. Verbatim transcripts of digitally recorded interviews were thematically analysed using MAXQDA®.

RESULTS

Participants reported the benefits of IDE as improvements in patients' physical and psychosocial functioning, independence and self-efficacy, clinical profile and quality of therapy. As risks of IDE, they most frequently reported exercise-related damage to vascular access, insufficient individualization of training and musculoskeletal injuries. The presence of psychological problems among patients was reported as a major barrier for initiating and maintaining patients' exercise. Other reported barriers included limitations in financial and personnel resources of haemodialysis care.

CONCLUSIONS

Safe and sustainable implementation of IDE, which might improve a patient's well-being, need to be prescribed in alignment with the patient's clinical profile, be delivered individually according to the patient's characteristics and requires adjustments in the available resources.

Comparison of the performance of four screening tools for sarcopenia in patients with chronic liver disease

Objectives

Early identification of sarcopenia in patients with chronic liver disease is crucial for patient management and prevention of severe complications. We aimed to assess the effectiveness of Ishii score, Strength, Assistance with Walking, Rise from a Chair, Climb Stairs and Falls (SARC-F), SARC-F and Calf Circumference (SARC-CalF), and Mini Sarcopenia Risk Assessment-7 (MSRA-7) to screen sarcopenia in patients with chronic liver disease.

Methods

This prospective study included patients with chronic liver disease in the infectious department of a tertiary hospital in Sichuan, China. Ishii score, SARC-F, SARC-CalF, and MSRA-7 were used to screen for sarcopenia risk. Sarcopenia was diagnosed according to the Asian Myometriosis Working Group (AWGS) 2019, which was used as the gold standard to compare the performance of the four screening tools. We completed clinical registration on the Chinese Clinical Trial Registration website (ChiCTR2100043910).

Results

A total of 366 patients with chronic liver disease (22.4% women, mean age 48.96 ± 11.88 years) were evaluated. Based on the AWGS 2019 standard, the prevalence of sarcopenia in patients with chronic liver disease was 17.5%. Among all participants, receiver operating characteristic (ROC) produced an area under the curve (AUC) of 0.82 for Ishii score (sensitivity 85.94%, specificity 78.15%), 0.53 for SARC-F (sensitivity 6.25%, specificity 99.34%), 0.64 for SARC-CalF (sensitivity 45.31%, specificity 83.11%), and 0.55 for MSRA-7 (sensitivity 87.50%, specificity 22.85%). Based on AUC, decision curve analysis, and calibration curves, we concluded that Ishii score was the most accurate screening tool and was superior to the other tools.

Conclusions

Ishii score is more suitable for screening sarcopenia in patients with chronic liver disease than the SARC-F, SARC-CalF, and MSRA-7, based on the AWGS 2019 criteria. Nursing professionals can use Ishii score as a clinical tool to screen for sarcopenia in patients with chronic liver disease, providing an indication cue for the final diagnosis of sarcopenia, improving diagnostic efficiency, and enabling early identification and prevention of complications resulting from sarcopenia.

Ethical considerations in sarcopenia research

The Article Abstract is not available.

Cost-effectiveness analysis of sarcopenia management interventions in Iran

OBJECTIVES

Identification the optimal management intervention of sarcopenia is a concern of health systems. We aimed to analyze the cost-effectiveness of sarcopenia management strategies in Iran.

METHODS

We constructed a lifetime Markov model based on natural history. The strategies comparedincluded exercise training, nutritional supplements, whole body vibration (WBV), and various exercise interventions and nutritional supplement combinations. A total of 7 strategies was evaluated in addition to the non-intervention strategy. Parameter values were extracted from primary data and the literature, and the costs and Quality-adjusted life years (QALYs) were calculated for each strategy. Deterministic and probabilistic sensitivity analysis, including the expected value of perfect information (EVPI), was also performed to determine the robustness of the model. Analyses were performed using the 2020 version of TreeAge Pro software.

RESULTS

All seven strategies increased lifetime effectiveness (QALYs). The protein and Vitamin D₃ (P + D) strategy had the highest effectiveness values among all strategies. After removing the dominated strategies, the estimated ICER for the P + D compared to Vitamin D₃ alone (D) strategy was calculated as $131,229. Considering the cost-effectiveness threshold ($25,249), base-case results indicated that the D strategy was the most cost-effective strategy in this evaluation. Sensitivity analysis of model parameters also demonstrated the robustness of results. Also, EVPI was estimated at $273.

CONCLUSIONS

Study results, as the first economic evaluation of sarcopenia management interventions, showed that despite the higher effectiveness of D + P, the D strategy was the most cost-effective. Completing clinical evidence of various intervention options can lead to more accurate results in the future.

AI-based opportunistic CT screening of incidental cardiovascular disease, osteoporosis, and sarcopenia: cost-effectiveness analysis

PURPOSE

To assess the cost-effectiveness and clinical efficacy of AI-assisted abdominal CT-based opportunistic screening for atherosclerotic cardiovascular (CV) disease, osteoporosis, and sarcopenia using artificial intelligence (AI) body composition algorithms.

METHODS

Markov models were constructed and 10-year simulations were performed on hypothetical age- and sex-specific cohorts of 10,000 U.S. adults (base case: 55 year olds) undergoing abdominal CT. Using expected disease prevalence, transition probabilities between health states, associated healthcare costs, and treatment effectiveness related to relevant conditions (CV disease/osteoporosis/sarcopenia) were modified by three mutually exclusive screening models: (1) usual care ("treat none"; no intervention regardless of opportunistic CT findings), (2) universal statin therapy ("treat all" for CV prevention; again, no consideration of CT findings), and (3) AI-assisted abdominal CT-based opportunistic screening for CV disease, osteoporosis, and sarcopenia using automated quantitative algorithms for abdominal aortic calcification, bone mineral density, and skeletal muscle, respectively. Model validity was assessed against published clinical cohorts.

RESULTS

For the base-case scenarios of 55-year-old men and women modeled over 10 years, AI-assisted CT-based opportunistic screening was a cost-saving and more effective clinical strategy, unlike the "treat none" and "treat all" strategies that ignored incidental CT body composition data. Over a wide range of input assumptions beyond the base case, the CT-based opportunistic strategy was dominant over the other two scenarios, as it was both more clinically efficacious and more cost-effective. Cost savings and clinical improvement for opportunistic CT remained for AI tool costs up to $227/patient in men ($65 in women) from the $10/patient base-case scenario.

CONCLUSION

AI-assisted CT-based opportunistic screening appears to be a highly cost-effective and clinically efficacious strategy across a broad array of input assumptions, and was cost saving in most scenarios.

Oculomics for sarcopenia prediction: a machine learning approach toward predictive, preventive, and personalized medicine

Aims

Sarcopenia is characterized by a gradual loss of skeletal muscle mass and strength with increased adverse outcomes. Recently, large-scale epidemiological studies have demonstrated a relationship between several chronic disorders and ocular pathological conditions using an oculomics approach. We hypothesized that sarcopenia can be predicted through eye examinations, without invasive tests or radiologic evaluations in the context of predictive, preventive, and personalized medicine (PPPM/3PM).

Methods

We analyzed data from the Korean National Health and Nutrition Examination Survey (KNHANES). The training set (80%, randomly selected from 2008 to 2010) data were used to construct the machine learning models. Internal (20%, randomly selected from 2008 to 2010) and external (from the KNHANES 2011) validation sets were used to assess the ability to predict sarcopenia. We included 8092 participants in the final dataset. Machine learning models (XGBoost) were trained on ophthalmological examinations and demographic factors to detect sarcopenia.

Results

In the exploratory analysis, decreased levator function (odds ratio [OR], 1.41; P value <0.001), cataracts (OR, 1.31; P value = 0.013), and age-related macular degeneration (OR, 1.38; P value = 0.026) were associated with an increased risk of sarcopenia in men. In women, an increased risk of sarcopenia was associated with blepharoptosis (OR, 1.23; P value = 0.038) and cataracts (OR, 1.29; P value = 0.010). The XGBoost technique showed areas under the receiver operating characteristic curves (AUCs) of 0.746 and 0.762 in men and women, respectively. The external validation achieved AUCs of 0.751 and 0.785 for men and women, respectively. For practical and fast hands-on experience with the predictive model for practitioners who may be willing to test the whole idea of sarcopenia prediction based on oculomics data, we developed a simple web-based calculator application (https://knhanesoculomics.github.io/sarcopenia) to predict the risk of sarcopenia and facilitate screening, based on the model established in this study.

Conclusion

Sarcopenia is treatable before the vicious cycle of sarcopenia-related deterioration begins. Therefore, early identification of individuals at a high risk of sarcopenia is essential in the context of PPPM. Our oculomics-based approach provides an effective strategy for sarcopenia prediction. The proposed method shows promise in significantly increasing the number of patients diagnosed with sarcopenia, potentially facilitating earlier intervention. Through patient oculometric monitoring, various pathological factors related to sarcopenia can be simultaneously analyzed, and doctors can provide personalized medical services according to each cause. Further studies are needed to confirm whether such a prediction algorithm can be used in real-world clinical settings to improve the diagnosis of sarcopenia.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13167-022-00292-3.

Self-reported difficulty in walking 400 meters: the “red flag” for probable sarcopenia

Background

Sarcopenia is associated with adverse outcomes in older people. Several tools are recommended to assess muscle mass, muscle strength and physical performance, but are not always available in daily practice.

Objective

The aim of the present study is to evaluate if there is a correlation between the personal perception of physical performance (assessed through a question on personal functional status) and the effective presence of sarcopenia (according to the EWGSOP2 definition) using data from the Longevity Check-up 7 + project.

Design

Cross-sectional study.

Setting

The Longevity Check-up 7 + project is an ongoing study started in June 2015 and conducted in unconventional settings (i.e., exhibitions, malls, and health promotion campaigns).

Subjects

Candidate participants are eligible for enrollment if they are at least 18 years of age and provide written informed consent. For the present study subjects 65 years age old and older have been considered (n = 2901).

Methods

According to the most recent EWGSOP2 consensus definition, subjects were defined to be affected by probable sarcopenia when handgrip strength was less than 27 kg in male and less than 16 kg in female, respectively. Furthermore, a single question assessed the perceived health status regarding own physical performance: “Do you have any difficulty in walking 400 m?”.

Results

Using the EWGSOP2 algorithm, 529 (18,9%) participants were identified as affected by probable sarcopenia with a significant higher prevalence among subjects with self-reported difficulty in walking 400 m compared to participant without any difficulty (33.6% versus 13.1%, respectively; p < 0.001). Relative to participants without self-reported difficulty, those subjects with self-reported difficulty in walking 400 m showed a significantly higher risk of sarcopenia (odds ratio [OR]: 3.34; 95% confidence interval [CI]: 2.75–4.07).

Conclusions

A single “Red Flag” question such as “Do you have any difficulty in walking 400 m?” should be considered as a recommended method for screening probable sarcopenia risk.

SARC-F and other screening tests for sarcopenia

PURPOSE OF REVIEW

Sarcopenia screening tools can enable clinicians to select individuals for more demanding evaluations, and hence, may facilitate its timely diagnosis and management. The most common recommended screening test is SARC-F, whereas many others are proposed. We aimed to summarize the recent studies and evidence performed on SARC-F and other sarcopenia screening tools.

RECENT FINDINGS

Meta-analysis studies reported that despite having moderate-high specificity, SARC-F has low-moderate sensitivity to detect sarcopenia, which would cause a significant number of individuals having sarcopenia to be unrecognized. Several recent studies aimed to increase sensitivity and utility of SARC-F as a screening tool by i.e., application of lower cut-offs, adding extra-items, and combining with other screening tests. Some of these approaches increased its screening efficacy significantly. In line with its previous studies, SARC-F showed success to predict adverse outcomes in the latest studies as well. Recently, it has also been suggested as a reasonable screening test for frailty. In addition to the long-standing screening tests i.e., anthropometric measures, Ishii Test and Mini Sarcopenia Risk Assessment (MSRA) Questionnaire; new tests, i.e., Taiwan Risk Score for Sarcopenia, Sarcopenia Scoring Assessment Model (SarSA-Mod) and re-purposed tests, i.e., SARQoL questionnaire and fracture risk assessment tool have been investigated as potential screening tests for sarcopenia. Some of these tests performed as well as or superior to standard SARC-F.

SUMMARY

Screening of sarcopenia is critical for public health given its significant prevalence and adverse outcomes. SARC-F is the most recommended tool for screening but has low-moderate sensitivity. Studies performed recently indicate that its sensitivity can be increased by some attempts and it may be used as a reasonable test to screen frailty as well. Some other tests have also been developed/re-purposed for an efficient screening, needing to be tested for their performance and usability with future studies in different populations and settings.