Relationship between low basal metabolic rate and mortality in older adults with hip fractures

Chinese Journal of Tissue Engineering Research www.crter.org ( 221006) DOI:10.3969/j.issn.2095-4344.0218 ORCID: 0000-0002-8618-0967() 1 30 d ( 2 h ) 1992 221006 :R318 :A 2018-01-13 1 2014 1 2016 3 507 60 1 Logistic 507 1315 1 13.41%(68/507) (P < 0.05)Logistic 1 1 (2016M5919292017T10048)(QNRC2016801) Relationship between low basal metabolic rate and mortality in older adults with hip fractures Sun Chun-sheng, Zheng Xin, Guo Kai-jin, Li Dong-ya, Li Cheng-yu, Wang Yi, Chang Bu-qing, Feng Shuo, Li Hong-wei (Department of Orthopedics, Affiliated Hospital of Xuzhou Medical University, Xuzhou 221006, Jiangsu Province, China) Abstract BACKGROUND: Basal metabolic rate (BMR) is an important indicator of human energy metabolism, and low BMR leads to the dysfunction of liver and kidney. Low BMR is usually found in patients with hip fractures, but there is a lack of study on the relationship between mortality of hip fracture and low BMR. OBJECTIVE: To investigate the effect of low BMR on the 1-year mortality in older adults with hip fractures. METHODS: Totally 507 patients with hip fractures aged more than 60 years from January 2014 to March Sun Chun-sheng, Master candidate, Department of Orthopedics, Affiliated Hospital of Xuzhou Medical University, Xuzhou 221006, Jiangsu Province, China Corresponding author: Li Hong-wei, M.D., Chief physician, Master s supervisor, Department of Orthopedics, Affiliated Hospital of Xuzhou Medical University, Xuzhou 221006, Jiangsu Province, China :2095-4344(2018)16-02467-05 2467

. [J]. 201822(16):2467-2471. DOI:10.3969/j.issn.2095-4344.0218 2016 were included in this retrospective study. Age, sex, surgery or not, surgical pathway, duration from injury to surgery, hospitalized pulmonary infection, number and kind of comorbidities, and 1-year mortality were recorded. BMR on admission was recorded, and multiple Logistic regression analysis was applied. RESULTS AND CONCLUSION: All patients were followed up for 1315 months, and the 1-year mortality was 13.41% (68/507). The mortality in the low BMR group was significantly higher than that in the non-low BMR group (P < 0.05). Logistic regression analysis showed that older age, conventional treatment, number of combined medical diseases, hospitalized pulmonary infection, and low BMR are risk factors for 1-year mortality in older adults with hip fracture. These results imply that low BMR is strongly associated with 1-year mortality in older adults with hip fracture. BMR can reflect the nutritional status, neuroendocrine, cellular and energy metabolism. Thereafter, for older adults with hip fractures and low BMI, nutrition therapy, re-warming, and endocrine therapy may help reduce the trauma-induced mortality. Subject headings: Tissue Engineering; Fractures, Bone; Mortality; Basal Metabolism Funding: the Postdoctoral Science Foundation of China, No. 2016M591929 and 2017T10048; the Youth Medical Talents Project of Jiangsu Province, No. QNRC2016801 0 Introduction 2050 600 [1] 100 2002200610% [2] [3] 112%37% [4] 13.5 [5] [6] 2014120163 601 1Subjects and methods 1.1 1.2 2015120175 1.3 2014120163 507 [7] 60 12 1.4 1.4.1 2014120163666 76(<6013 322 2810)590 1283 <12(6320 )507 6096(77.3±8.2) 171336249 258412 212(PFNA)200 95 1212 1.4.2 =(+ )111±10%±15% 20%<20% 20 25 ( 25 20 min) ()37.5 1.5 1.6x _ ±s SPSS 16.0(IBM) ()t 8 Logisticα 2468 ISSN 2095-4344 CN 21-1581/R CODEN: ZLKHAH

. [J]. 201822(16):2467-2471. DOI:10.3969/j.issn.2095-4344.0218 2 1 () Table 2 Multiple Logistic regression analysis of 1-year mortality in patients with hip fracture Β 2 P OR 95%CI 0.082 0.023 12.628 0 0.922 0.881 0.964 () 0.385 0.336 1.314 0.252 1.469 0.761 2.836 (2) 1.018 0.157 42.24 0 0.361 0.266 0.491 1.235 0.362 11.648 0.001 3.438 1.692 6.989 1.309 0.363 12.986 0 3.702 1.817 7.545 2.043 0.379 28.989 0 7.711 3.666 16.22 1 3 1 () Table 3 Multiple Logistic regression analysis of 1-year mortality in patients with hip fracture undergoing surgery β 2 P OR 95%CI 0.083 0.029 80.478 0.004 0.92 0.87 0.973 0 0.002 0.327 0.568 0.999 0.996 10.002 () 0.004 0.402 0 0.992 10.004 0.457 20.206 () 0.639 0.41 20.432 0.119 10.895 0.849 40.229 (2) 10.055 0.185 320.37 0 0.348 0.242 0.501 10.38 0.425 100.534 0.001 30.975 10.728 90.148 10.681 0.468 120.895 0 50.372 20.146 130.447 1 [19] [20] Faizi [21] < 36.5 30 d [22-24] [25] [26] [23] ( ) [27] [28] 70% [29] Galusova [30] ICU1 (TSH)T4FT420% T333%FT3 7FT4 [31] 2025 25 20 min 2470 ISSN 2095-4344 CN 21-1581/R CODEN: ZLKHAH

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