Effect of Low Skeletal Muscle Mass on Post-operative Survival of Patients With Abdominal Aortic Aneurysm: A Prognostic Factor Review and Meta-Analysis of Time-to-Event Data
Abstract:WHAT THIS PAPER ADDSPatients with abdominal aortic aneurysm (AAA) often present with a significant burden of comorbidities and are likely to be frail. Low skeletal muscle mass, a surrogate of sarcopenia and indicator of frailty, has been associated with increased mortality and morbidity after surgery. The prognostic role of low skeletal muscle mass in the survival of patients with AAA undergoing open or endovascular repair was investigated by conducting a metaanalysis of bibliographic data. Patients with low s… Show more
“…Measurement of skeletal muscle mass on pre-operative computed tomography (CT) as a proxy for sarcopenia (defined by low muscle mass, strength, and performance) may improve risk stratification. 3 This single centre retrospective cohort study investigated the association between low muscle mass and survival after elective AAA surgery. The study protocol was approved by the local review board of the ethics committee (Medical research Ethics Committee United, number R&D/ Z19.005).…”
Section: Research Lettermentioning
confidence: 99%
“…4 Total cross sectional muscle area (CSMA) analysis was performed at the level of the third lumbar vertebra. 3 The inner and outer contour of the CSMA was traced manually and the tissue within the threshold of À30 to þ150 Hounsfield Units (HU) was selected. Average tracing time was 5 min per patient.…”
Section: Research Lettermentioning
confidence: 99%
“…To analyse SMI, patients were divided into tertiles, based on SMI, and classified as low (lowest tertile) or normal muscle mass (middle and highest tertile). 3 Separate sex specific cut off values were determined. The association between low muscle mass and mortality rate was analysed with Cox proportional hazard models and adjusted for the Vascular-POSSUM physiology score (comorbidities), age, and surgical approach, resulting in a hazard ratio (HR) and 95% confidence intervals.…”
Section: Research Lettermentioning
confidence: 99%
“…These results confirmed that low muscle mass was associated with lower survival, irrespective of the procedure and comorbidities. 3 This study addresses several important issues. First, after adjustment for age, comorbidity, and surgical approach, low muscle mass was a significant risk factor for overall mortality after AAA surgery.…”
“…Measurement of skeletal muscle mass on pre-operative computed tomography (CT) as a proxy for sarcopenia (defined by low muscle mass, strength, and performance) may improve risk stratification. 3 This single centre retrospective cohort study investigated the association between low muscle mass and survival after elective AAA surgery. The study protocol was approved by the local review board of the ethics committee (Medical research Ethics Committee United, number R&D/ Z19.005).…”
Section: Research Lettermentioning
confidence: 99%
“…4 Total cross sectional muscle area (CSMA) analysis was performed at the level of the third lumbar vertebra. 3 The inner and outer contour of the CSMA was traced manually and the tissue within the threshold of À30 to þ150 Hounsfield Units (HU) was selected. Average tracing time was 5 min per patient.…”
Section: Research Lettermentioning
confidence: 99%
“…To analyse SMI, patients were divided into tertiles, based on SMI, and classified as low (lowest tertile) or normal muscle mass (middle and highest tertile). 3 Separate sex specific cut off values were determined. The association between low muscle mass and mortality rate was analysed with Cox proportional hazard models and adjusted for the Vascular-POSSUM physiology score (comorbidities), age, and surgical approach, resulting in a hazard ratio (HR) and 95% confidence intervals.…”
Section: Research Lettermentioning
confidence: 99%
“…These results confirmed that low muscle mass was associated with lower survival, irrespective of the procedure and comorbidities. 3 This study addresses several important issues. First, after adjustment for age, comorbidity, and surgical approach, low muscle mass was a significant risk factor for overall mortality after AAA surgery.…”
“…Firstly, we would like to emphasise that our goal was to assess the skeletal muscle mass (or a surrogate marker thereof), not sarcopenia, as a prognostic factor. 1 We tried to be consistent with correct terminology despite source Eur J Vasc Endovasc Surg (2019) 58, 940e942…”
Antoniou et al. are to be commended for drawing together the results of the current literature on the potential role of sarcopenia following abdominal aortic aneurysm (AAA) repair. 1 They analysed the effects of low skeletal muscle mass (SMM) on outcomes after elective open and endovascular AAA repair. Several methodological challenges were highlighted in the paper; however, attempts to address these were limited. The authors derived hazard ratios from survival curves or log rank tests for meta-analysis. Therefore, the results were unable to be adjusted for confounding variables, specifically age, sex, and height, which have been shown to influence both muscle mass and outcomes after AAA repair. Similar to previous findings, the meta-analysis found that those with low SMM were significantly older. 1e3 Therefore, the conclusions derived may reflect an older cohort and should not be generalised. SMM has also been shown to be lower in women, who incidentally, have a higher mortality after AAA repair. However, only three studies included in the analyses stratified groups according to sex. 3e5 This may have resulted in a higher proportion of women in the low SMM group, which raises further questions about the generalisability of the conclusions reached. Furthermore, the heterogeneity in the standardisation of measurements, namely by height, of SMM has also not been addressed. It remains ambiguous whether there is a need to standardise measurements as opposing results were reported by studies using standardised and non-standardised measurements of SMM. 3,6,7 Acquiring data sets from the respective authors and performing a uniform analysis to minimise methodological variations would have enabled meaningful interpretation of heterogenous data. The apparent reduced survival with low SMM may be explained by these methodological limitations; therefore, the results should be interpreted with caution.
The relationship between muscle wasting and mortality risk in the general population remains unclear. Our study was conducted to examine and quantify the associations between muscle wasting and all‐cause and cause‐specific mortality risks. PubMed, Web of Science and Cochrane Library were searched until 22 March 2023 for main data sources and references of retrieved relevant articles. Prospective studies investigating the associations of muscle wasting with risks of all‐cause and cause‐specific mortality in the general population were eligible. A random‐effect model was used to calculate the pooled relative risk (RR) and 95% confidence intervals (CIs) for the lowest versus normal categories of muscle mass. Subgroup analyses and meta‐regression were performed to investigate the potential sources of heterogeneities among studies. Dose–response analyses were conducted to evaluate the relationship between muscle mass and mortality risk. Forty‐nine prospective studies were included in the meta‐analysis. A total of 61 055 deaths were ascertained among 878 349 participants during the 2.5‐ to 32‐year follow‐up. Muscle wasting was associated with higher mortality risks of all causes (RR = 1.36, 95% CI, 1.28 to 1.44, I2 = 94.9%, 49 studies), cardiovascular disease (CVD) (RR = 1.29, 95% CI, 1.05 to 1.58, I2 = 88.1%, 8 studies), cancer (RR = 1.14, 95% CI, 1.02 to 1.27, I2 = 38.7%, 3 studies) and respiratory disease (RR = 1.36, 95% CI, 1.11 to 1.67, I2 = 62.8%, 3 studies). Subgroup analyses revealed that muscle wasting, regardless of muscle strength, was significantly associated with a higher all‐cause mortality risk. Meta‐regression showed that risks of muscle wasting‐related all‐cause mortality (P = 0.06) and CVD mortality (P = 0.09) were lower in studies with longer follow‐ups. An approximately inverse linear dose–response relationship was observed between mid‐arm muscle circumference and all‐cause mortality risk (P < 0.01 for non‐linearity). Muscle wasting was associated with higher mortality risks of all causes, CVD, cancer and respiratory disease in the general population. Early detection and treatment for muscle wasting might be crucial for reducing mortality risk and promoting healthy longevity.
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