Computed tomography measured psoas density predicts outcomes in trauma.
Computed tomography measured psoas density predicts outcomes in trauma.
复制标题
计算机断层扫描测量的腰大肌密度预测创伤的结果。
DOI：
10.1016/j.surg.2017.03.014
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发表时间：
2017-08
期刊：
影响因子：
3.8
通讯作者：
Evans DC
中科院分区：
文献类型：
--
作者：
Yoo T;Lo WD;Evans DC
Age-related loss of muscle mass and function (sarcopenia) is linked to poor outcomes after surgery and trauma. Here we evaluate CT measured psoas muscle density and area using quick and simple tools available to the beside clinician. We hypothesize these measures will predict poor outcomes after blunt traumatic injury. We conducted a retrospective cohort study of patients ages ≥ 45 years in the Ohio State University Trauma Registry in 2008 that received a CT abdomen/pelvis with intravenous contrast. Psoas Index (PI) and Hounsfield Unit average calculation (HUAC) were measured at the L3 level. 90-day mortality, complication, length of stay ≥ 7 days, dependent discharge were compared to PI and HUAC. 151 patients met inclusion criteria. Patients were stratified into interquartile ranges based either on PI or HUAC values. After adjustment with sex-specific cutoffs, the lowest interquartile range of PI was associated with 90-day mortality (RR 5.95, p < 0.008) but did not reach significance in other outcomes. The lowest interquartile range of HUAC was associated with 90-day mortality (RR 5.95, p < 0.008) length of stay ≥ 7 days (RR 1.63, p = 0.048), complication risk (RR 2.30, p = 0.002), and dependent discharge 2.14, p = 0.015). Psoas muscle density is a significant predictor of poor outcomes after traumatic injury. This objective, quick, and readily available measure of sarcopenia can identify patients requiring aggressive nutritional and physical therapy to improve prognosis, prevent recurrent traumatic injury, and aid in discharge planning.
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DOI：
10.1016/j.jamcollsurg.2010.03.039
发表时间：
2010-08
影响因子：
5.2
作者：
Englesbe, Michael J.;Patel, Shaun P.;He, Kevin;Lynch, Raymond J.;Schaubel, Douglas E.;Harbaugh, Calista;Holcombe, Sven A.;Wang, Stewart C.;Segev, Dorry L.;Sonnenday, Christopher J.
通讯作者：
Sonnenday, Christopher J.
影响因子：
6.3
作者：
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通讯作者：
Wolfe, Robert R.
影响因子：
4.5
作者：
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通讯作者：
Lee, Young Seok
影响因子：
3.4
作者：
Weijs, Peter J. M.;Stapel, Sandra N.;Beishuizen, Albertus
通讯作者：
Beishuizen, Albertus
影响因子：
3.8
作者：
Miller, Barbra S.;Ignatoski, Kathleen M.;Wang, Stewart C.
通讯作者：
Wang, Stewart C.