Computed tomographic measurements of the psoas muscle as a predictor of mortality in hip fracture patients: Muscle attenuation helps predict mortality in hip fracture patients

被引:15
作者
Bae, Sung Jin [1 ,2 ]
Lee, Sun Hwa [1 ]
机构
[1] Ewha Womans Univ, Ewha Womans Univ Mokdong Hosp, Dept Emergency Med, Coll Med, 1071 Anyangcheon Ro, Seoul, South Korea
[2] Chung Ang Univ, Dept Emergency Med, Coll Med, Seoul 06973, South Korea
来源
INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED | 2021年 / 52卷 / 06期
关键词
Psoas muscle; Sarcopenia; Hip fractures; Computed tomography; Mortality; OLDER-ADULTS; SARCOPENIA; SURGERY; MORBIDITY; SURVIVAL;
D O I
10.1016/j.injury.2020.11.062
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Introduction: In recent years, sarcopenia has been identified as an important risk factor of patient prognosis. The aim of this study was to determine the association between prognosis of hip fracture and sarcopenia and to evaluate the prognostic performance of psoas muscle volume and attenuation measurements in hip computed tomography (CT). Material and methods: This was a retrospective cohort study of patients with hip fracture in our institution from 2014 to 2017. Baseline character data and hip CT scans were obtained. Two readers independently measured muscle size (cross-sectional area) and attenuation of the psoas muscle at the L4 vertebra on CT scans. Logistic regression analysis was used to identify the association between mortality and muscle index (the sum of the left and right muscle sizes divided by patient height) and muscle attenuation after adjusting for demographic variables. In addition, receiver operating characteristic (ROC) curves were obtained. Results: In the 462 patients included in the study, in-hospital mortality was 4%. Multivariate logistic regression analysis revealed that muscle attenuation was a risk factor for mortality. Among baseline characteristics, age, sex, diastolic blood pressure, and albumin were significant variables for mortality. The area under the ROC curve (AUC) of muscle attenuation for prediction of death was 0.839 (0.803-0.872) with 84.2% sensitivity and 69.5% specificity. Furthermore, when we combined all independent factors according to the results, the AUC was 0.929 (0.902-0.951) with 84.2% sensitivity and 93.6% specificity for prediction of mortality among hip fracture patients. Conclusion: Among many variables, the most significant was muscle attenuation. CT is the most typical modality to determine treatment of hip fracture patients. Measuring muscle size and attenuation is simple using PACS software. Muscle attenuation has significant value for predicting the prognosis of hip patients. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1456 / 1461
页数:6
相关论文
共 33 条
[1]   Psoas Muscle Area Measured with Computed Tomography at Admission to Intensive Care Unit: Prediction of In-Hospital Mortality in Patients with Pulmonary Embolism [J].
Akkoc, Ibrahim ;
Toptas, Mehmet ;
Yalcin, Mazhar ;
Demir, Eren ;
Toptas, Yasar .
BIOMED RESEARCH INTERNATIONAL, 2020, 2020
[2]   Multi-detector CT for suspected hip fragility fractures: A diagnostic test accuracy systematic review and meta-analysis [J].
Alabousi, Mostafa ;
Gauthier, Isabelle D. ;
Li, Nicole ;
dos Santos, Goncalo M. F. ;
Golev, Dmitry ;
Patlas, Michael N. ;
Alabousi, Abdullah .
EMERGENCY RADIOLOGY, 2019, 26 (05) :549-556
[3]   Measurement of skeletal muscle radiation attenuation and basis of its biological variation [J].
Aubrey, J. ;
Esfandiari, N. ;
Baracos, V. E. ;
Buteau, F. A. ;
Frenette, J. ;
Putman, C. T. ;
Mazurak, V. C. .
ACTA PHYSIOLOGICA, 2014, 210 (03) :489-497
[4]   Pre-fracture quality of life predicts 1-year survival in elderly patients with hip fracture-development of a new scoring system [J].
Bliemel, C. ;
Sielski, R. ;
Doering, B. ;
Dodel, R. ;
Balzer-Geldsetzer, M. ;
Ruchholtz, S. ;
Buecking, B. .
OSTEOPOROSIS INTERNATIONAL, 2016, 27 (06) :1979-1987
[5]   Use it or lose it to age: A review of bone and muscle communication [J].
Bonewald, Lynda .
BONE, 2019, 120 :212-218
[6]   CT of Patients With Hip Fracture: Muscle Size and Attenuation Help Predict Mortality [J].
Boutin, Robert D. ;
Bamrungchart, Sara ;
Bateni, Cyrus P. ;
Beavers, Daniel P. ;
Beavers, Kristen M. ;
Meehan, John P. ;
Lenchik, Leon .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2017, 208 (06) :W208-W215
[7]   Body composition analysis in older adults with dementia. Anthropometry and bioelectrical impedance analysis: a critical review [J].
Camina Martin, M. A. ;
de Mateo Silleras, B. ;
Redondo del Rio, M. P. .
EUROPEAN JOURNAL OF CLINICAL NUTRITION, 2014, 68 (11) :1228-1233
[8]   Paraspinous muscle as a predictor of surgical outcome [J].
Canvasser, Leah D. ;
Mazurek, Alyssa A. ;
Cron, David C. ;
Terjimanian, Michael N. ;
Chang, Eric T. ;
Lee, Chris S. ;
Alameddine, Mitchell B. ;
Claflin, Jake ;
Davis, Elyse D. ;
Schumacher, Tucker M. ;
Wang, Stewart C. ;
Englesbe, Michael J. .
JOURNAL OF SURGICAL RESEARCH, 2014, 192 (01) :76-81
[9]   A NEW METHOD OF CLASSIFYING PROGNOSTIC CO-MORBIDITY IN LONGITUDINAL-STUDIES - DEVELOPMENT AND VALIDATION [J].
CHARLSON, ME ;
POMPEI, P ;
ALES, KL ;
MACKENZIE, CR .
JOURNAL OF CHRONIC DISEASES, 1987, 40 (05) :373-383
[10]   Sarcopenia: European consensus on definition and diagnosis [J].
Cruz-Jentoft, Alfonso J. ;
Baeyens, Jean Pierre ;
Bauer, Juergen M. ;
Boirie, Yves ;
Cederholm, Tommy ;
Landi, Francesco ;
Martin, Finbarr C. ;
Michel, Jean-Pierre ;
Rolland, Yves ;
Schneider, Stephane M. ;
Topinkova, Eva ;
Vandewoude, Maurits ;
Zamboni, Mauro .
AGE AND AGEING, 2010, 39 (04) :412-423