Psoas Muscle Size Predicts Risk-Adjusted Outcomes After Surgical Aortic Valve Replacement

Hawkins, Robert B.; Mehaffey, J. Hunter; Charles, Eric J.; Kern, John A.; Lim, D. Scott; Teman, Nicholas R.; Ailawadi, Gorav

doi:10.1016/j.athoracsur.2018.02.010

Cited by 72 publications

(89 citation statements)

References 34 publications

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“…The characteristic of PMI as a reflection of the skeletal muscle condition of the whole body may need further discussion. Indeed PMI was reported to be an effective predictor of major postoperative complications in many clinical studies [57][58][59] and our meta-analysis has also validated this role.…”

Section: Discussionsupporting

confidence: 71%

Computed Tomography-Assessed Sarcopenia Indexes Predict Major Complications following Surgery for Hepatopancreatobiliary Malignancy: A Meta-Analysis

et al. 2018

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Background: Computed tomography (CT)-assessed sarcopenia indexes have been reported to predict postoperative morbidity and mortality; however conclusions drawn from different indexes and studies remain controversial. Aim: The purpose of this meta-analysis was to evaluate various CT-assessed sarcopenia indexes as predictors of risk for major complications in patients undergoing hepatopancreatobiliary surgery for malignancy. Methods: Medline/PubMed, Web of Science, and Embase databases were systematically searched to identify relevant studies published before June 2018. PRISMA guidelines for systematic reviews were followed. The pooled risk ratio (RR) for major postoperative complications (Clavien-Dindo ≥III) was estimated in patients with sarcopenia versus patients without sarcopenia. Data extracted were meta-analyzed using Review Manager (version 5.3). Results: Twenty-eight studies comprising 6,656 patients were included in this study. CT-assessed sarcopenia indexes, such as skeletal muscle index (SMI, RR 1.36; 95% CI 1.14–1.63; p = 0.0008; I² = 24%), psoas muscle index (PMI, RR 1.35; 95% CI 1.15–1.58; p = 0.0002; I² = 0%), muscle attenuation (MA, RR 1.40; 95% CI 1.14–1.73; p = 0.002; I² = 4%), and intramuscular adipose tissue content (IMAC, RR 1.63; 95% CI 1.28–2.09; p < 0.0001; I² = 0%) were all predictors of postoperative major complications, although moderate heterogeneity existed and cutoffs for these indexes to define sarcopenia varied. Conclusions: All commonly used CT-assessed sarcopenia indexes, such as SMI, PMI, MA, and IMAC can predict the risk of major postoperative complications; however, a consensus on the cutoffs for these indexes to define sarcopenia is still lacking.

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Section: Discussionsupporting

confidence: 71%

Computed Tomography-Assessed Sarcopenia Indexes Predict Major Complications following Surgery for Hepatopancreatobiliary Malignancy: A Meta-Analysis

et al. 2018

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“…They found that the measurement of psoas muscle area is more predictive for mortality than other clinical parameters. Hawkins et al [31] determined the place of psoas muscle size as a finding of frailty for the prediction of risk-adjusted outcomes in moderate to high-risk patients after aortic valve placement. They calculated the psoas index by dividing the mean psoas cross-sectional area to the body surface area.…”

Section: Discussionmentioning

confidence: 99%

Psoas Muscle Area Measured with Computed Tomography at Admission to Intensive Care Unit: Prediction of In‐Hospital Mortality in Patients with Pulmonary Embolism

Akkoç

Toptaş

Yalcin

et al. 2020

BioMed Research International

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Aim. Sarcopenia, a core component of physical frailty, is an independent risk factor for suboptimal health outcomes in hospitalized patients, especially in the intensive care patients. Psoas muscle areas can be assessed to identify sarcopenia. The aim of this study was to determine the prognostic value of psoas muscle area measured with CT for the prediction of in-hospital mortality in patients with pulmonary embolism at admission to the intensive care unit. Methods. Patients with an admission abdominal computed tomography scan and requiring intensive care unit (ICU) stay were reviewed. Selected clinical data of patients admitted to intensive care unit for the management of pulmonary embolism were collected. Using CT scan images at the level of L3 vertebra, the psoas muscle area value was obtained by dividing the sum of the right and left psoas muscle areas into the body surface area. Results. In-hospital mortality rate was 22.5% in 89 patients. The pulmonary embolism patients with in-hospital mortality had higher PESI and lower value of psoas muscle area, in addition to the lower systolic blood pressure and arterial oxygen saturation at admission. The increase in the value of psoas muscle area is associated with a decrease in the rate of in-hospital mortality. In patients with in-hospital mortality related to pulmonary embolism, the higher PESI and the lower value of psoas muscle area were considered in accordance with the outcome of patients. Conclusions. For the prediction of in-hospital mortality risk in patients with pulmonary embolism managed in intensive care unit, the psoas muscle area value has a merit to be used among the routine diagnostic procedures after further studies conducted with different severity of pulmonary embolism.

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“…Several recently published articles measuring muscle mass for diagnosis of sarcopenia, however, have evaluated the psoas muscle. [2][3][4] This suggests that measurement of regional muscle mass, such as the area or volume of the psoas muscle, can be performed easily in clinical practice at many centers.…”

Section: Sarcopenia Andmentioning

confidence: 99%

How is preoperative sarcopenia assessed in patients undergoing heart valve surgery?

Okamura

Kimura

Tanno

et al. 2019

The Journal of Thoracic and Cardiovascular Surgery

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Psoas Muscle Size Predicts Risk-Adjusted Outcomes After Surgical Aortic Valve Replacement

Abstract: Psoas index is an easily obtained and reproducible measure of frailty that predicts risk-adjusted resource utilization, morbidity, and long-term mortality. Psoas index may improve procedural selection and risk adjustment in high-risk patients with aortic valve disease.

Cited by 72 publications

References 34 publications

Computed Tomography-Assessed Sarcopenia Indexes Predict Major Complications following Surgery for Hepatopancreatobiliary Malignancy: A Meta-Analysis

Computed Tomography-Assessed Sarcopenia Indexes Predict Major Complications following Surgery for Hepatopancreatobiliary Malignancy: A Meta-Analysis

Psoas Muscle Area Measured with Computed Tomography at Admission to Intensive Care Unit: Prediction of In‐Hospital Mortality in Patients with Pulmonary Embolism

How is preoperative sarcopenia assessed in patients undergoing heart valve surgery?

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