دورية أكاديمية
Multifrequency Bioelectrical Impedance Analysis Compared With Computed Tomography for Assessment of Skeletal Muscle Mass in Primary Colorectal Malignancy: A Predictor of Short-Term Outcome After Surgery.
العنوان: | Multifrequency Bioelectrical Impedance Analysis Compared With Computed Tomography for Assessment of Skeletal Muscle Mass in Primary Colorectal Malignancy: A Predictor of Short-Term Outcome After Surgery. |
---|---|
المؤلفون: | Kim EY; Division of Trauma and Surgical Critical Care, Department of Surgery, Seoul St. Mary's Hospital, Seoul, South Korea., Kim SR; Division of Colorectal Surgery, Department of Surgery, Seoul St. Mary's Hospital, Seoul, South Korea., Won DD; Division of Colorectal Surgery, Department of Surgery, Seoul St. Mary's Hospital, Seoul, South Korea., Choi MH; Department of Radiology, Seoul St. Mary's Hospital, Seoul, South Korea., Lee IK; Division of Colorectal Surgery, Department of Surgery, Seoul St. Mary's Hospital, Seoul, South Korea. |
المصدر: | Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition [Nutr Clin Pract] 2020 Aug; Vol. 35 (4), pp. 664-674. Date of Electronic Publication: 2019 Jun 24. |
نوع المنشور: | Comparative Study; Journal Article |
اللغة: | English |
بيانات الدورية: | Publisher: Wiley Country of Publication: United States NLM ID: 8606733 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1941-2452 (Electronic) Linking ISSN: 08845336 NLM ISO Abbreviation: Nutr Clin Pract Subsets: MEDLINE |
أسماء مطبوعة: | Publication: 2018- : [Hoboken, NJ] : Wiley Original Publication: [Baltimore, Md. : Williams & Wilkins, c1986- |
مواضيع طبية MeSH: | Electric Impedance*, Colorectal Neoplasms/*physiopathology , Muscle, Skeletal/*physiopathology , Risk Assessment/*methods , Tomography, X-Ray Computed/*statistics & numerical data, Adult ; Aged ; Aged, 80 and over ; Body Composition ; Body Mass Index ; Colectomy ; Colorectal Neoplasms/surgery ; Female ; Humans ; Length of Stay/statistics & numerical data ; Male ; Middle Aged ; Predictive Value of Tests ; Preoperative Period ; Reproducibility of Results ; Tomography, X-Ray Computed/methods ; Treatment Outcome |
مستخلص: | Background: Herein, we evaluate the accuracy and reliability of multifrequency bioelectrical impedance analysis (BIA) to assess skeletal muscle mass (SMM) in the colorectal cancer patient compared with computed tomography (CT) scan and also analyze the association between SMM of BIA and postoperative outcomes. Methods: From March to May 2017, the body composition of patients scheduled for elective surgery due to primary colorectal cancer in our institution was analyzed at the time of admission using BIA (InBody S20, Biospace Co Ltd, Seoul, South Korea). The relationship between the single cross-sectional area of skeletal muscle at the lumbar region using preoperative CT scan and the SMM determined via BIA were assessed. Postoperative outcomes were compared according to different status of SMM on BIA categorized into 3 groups (low, medium, or high). Results: Fifty patients were analyzed, and the length of hospital stay was shorter and the initiation of oral diet was significantly earlier in the group with high SMM than in other groups (P = 0.001 and 0.038, respectively). The SMM on BIA showed a very significant correlation with skeletal muscle index using CT scan (0.705 of correlation coefficients, P < 0.001) and also strongly correlated with skeletal muscle index after adjusting for age, weight, and BMI on multivariate analysis (β = 0.391 ± 0.057, P < 0.001). Conclusion: SMM determined by BIA is strongly correlated with SMM estimated by CT scan. Authors suppose that BIA could be an alternative to CT scan for the assessment of SMM in colorectal cancer patients. (© 2019 American Society for Parenteral and Enteral Nutrition.) |
References: | de Graeff A, Vogel J, Jager-Wittenaar H, Chua-Hendriks J, Beijer S. Malnutrition in patients with cancer. Ned Tijdschr Geneeskd. 2012,156(38):A4911. Paccagnella A, Morassutti I, Rosti G. Nutritional intervention for improving treatment tolerance in cancer patients. Curr Opin Oncol. 2011,23(4):322-330. van Vledder MG, Levolger S, Ayez N, Verhoef C, Tran TC, Ijzermans JN. Body composition and outcome in patients undergoing resection of colorectal liver metastases. Br J Surg. 2012,99(4):550-557. Prado CM, Lieffers JR, McCargar LJ, et al. Prevalence and clinical implications of sarcopenic obesity in patients with solid tumours of the respiratory and gastrointestinal tracts: a population-based study. Lancet Oncol. 2008,9(7):629-635. Pamoukdjian F, Bouillet T, Levy V, Soussan M, Zelek L, Paillaud E. Prevalence and predictive value of pre-therapeutic sarcopenia in cancer patients: a systematic review. Clin Nutr. 2018;37(4):1101-1113. Lieffers JR, Bathe OF, Fassbender K, Winget M, Baracos VE. Sarcopenia is associated with postoperative infection and delayed recovery from colorectal cancer resection surgery. Br J Cancer. 2012,107(6):931-936. Richards CH, Roxburgh CSD, MacMillan MT, et al. The relationships between body composition and the systemic inflammatory response in patients with primary operable colorectal cancer. Plos One. 2012,7(8):e41883. Melchior JC, Preaud E, Carles J, et al. Clinical and economic impact of malnutrition per se on the postoperative course of colorectal cancer patients. Clin Nutr. 2012,31(6):896-902. Zarowitz BJ, Pilla AM. Bioelectrical impedance in clinical practice. DICP. 1989,23(7-8):548-555. Sergi G, De Rui M, Stubbs B, Veronese N, Manzato E. Measurement of lean body mass using bioelectrical impedance analysis: a consideration of the pros and cons. Aging Clin Exp Res. 2017,29(4):591-597. Malbrain ML, Huygh J, Dabrowski W, De Waele JJ, Staelens A, Wauters J. The use of bio-electrical impedance analysis (BIA) to guide fluid management, resuscitation and deresuscitation in critically ill patients: a bench-to-bedside review. Anaesthesiol Intensive Ther. 2014,46(5):381-391. Kumar S, Dutt A, Hemraj S, Bhat S, Manipadybhima B. Phase angle measurement in healthy human subjects through bio-impedance analysis. IJBMS. 2012,15(6):1180-1184. Lukaski HC, Kyle UG, Kondrup J. Assessment of adult malnutrition and prognosis with bioelectrical impedance analysis: phase angle and impedance ratio. Curr Opin Clin Nutr Metab Care. 2017,20(5):330-339. Buffa R, Mereu E, Comandini O, Ibanez ME, Marini E. Bioelectrical impedance vector analysis (BIVA) for the assessment of two-compartment body composition. Eur J Clin Nutr. 2014,68(11):1234-1240. Kim M, Kim H. Accuracy of segmental multi-frequency bioelectrical impedance analysis for assessing whole-body and appendicular fat mass and lean soft tissue mass in frail women aged 75 years and older. Eur J Clin Nutr. 2013,67(4):395-400. Ling CH, de Craen AJ, Slagboom PE, et al. Accuracy of direct segmental multi-frequency bioimpedance analysis in the assessment of total body and segmental body composition in middle-aged adult population. Clin Nutr. 2011,30(5):610-615. Gallagher D, Visser M, De Meersman RE, et al. Appendicular skeletal muscle mass: effects of age, gender, and ethnicity. J Appl Physiol (1985). 1997,83(1):229-239. Heymsfield SB, Smith R, Aulet M, et al. Appendicular skeletal muscle mass: measurement by dual-photon absorptiometry. The Am J Clin Nutr. 1990,52(2):214-218. Maltoni M, Caraceni A, Brunelli C, et al. Prognostic factors in advanced cancer patients: evidence-based clinical recommendations-a study by the Steering Committee of the European Association for Palliative Care. J Clin Oncol. 2005,23(25):6240-6248. SR Walsh, Cook EJ, Goulder F, Justin TA, Keeling NJ. Neutrophil-lymphocyte ratio as a prognostic factor in colorectal cancer. J. Surg. Oncol. 2005,91(3):181-184. McMillan DC. An inflammation-based prognostic score and its role in the nutrition-based management of patients with cancer. Proc Nutr Soc. 2008,67(3):257-262. Proctor MJ, Morrison DS, Talwar D, et al. A comparison of inflammation-based prognostic scores in patients with cancer. a Glasgow inflammation outcome study. Eur J Cancer. 2011,47(17):2633-2641. Roxburgh CS, McMillan DC. Role of systemic inflammatory response in predicting survival in patients with primary operable cancer. Future Oncol. 2010,6(1):149-163. Dindo D, Demartines N, Clavien PA. Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey. Ann Surg. 2004,240(2):205-213. Janssen I, Heymsfield SB, Baumgartner RN, Ross R. Estimation of skeletal muscle mass by bioelectrical impedance analysis. J Appl Physiol (1985). 2000,89(2):465-471. Ito H, Ohshima A, Ohto N, et al. Relation between body composition and age in healthy Japanese subjects. Eur J Clin Nutr. 2001,55(6):462-470. Mitsiopoulos N, Baumgartner RN, Heymsfield SB, Lyons W, Gallagher D, Ross R. Cadaver validation of skeletal muscle measurement by magnetic resonance imaging and computerized tomography. J Appl Physiol (1985). 1998,85(1):115-122. Proctor MJ, Morrison DS, Talwar D, et al. An inflammation-based prognostic score (mGPS) predicts cancer survival independent of tumour site: a Glasgow Inflammation Outcome Study. Br J Cancer. 2011,104(4):726-734. Kyle UG, Pirlich M, Schuetz T, Lochs H, Pichard C. Is nutritional depletion by nutritional risk index associated with increased length of hospital stay? A population-based study. JPEN J Parenter Enteral Nutr. 2004,28(2):99-104. Reisinger KW, Derikx JP, van Vugt JL, et al. Sarcopenia is associated with an increased inflammatory response to surgery in colorectal cancer. Clin Nutr. 2016,35(4):924-927. Fearon K, Strasser F, Anker SD, et al. Definition and classification of cancer cachexia: an international consensus. Lancet Oncol. 2011,12(5):489-495. Morley JE, Thomas DR, Wilson MM. Cachexia: pathophysiology and clinical relevance. Am J Clin Nutr. 2006,83(4):735-743. Cousin S, Hollebecque A, Koscielny S, et al. Low skeletal muscle is associated with toxicity in patients included in phase I trials. Invest New Drugs. 2014,32(2):382-387. Park SE, Hwang IG, Choi CH, et al. Sarcopenia is poor prognostic factor in older patients with locally advanced rectal cancer who received preoperative or postoperative chemoradiotherapy. Medicine. 2018,97(48). Jung HW, Kim JW, Kim JY, et al. Effect of muscle mass on toxicity and survival in patients with colon cancer undergoing adjuvant chemotherapy. Support Care Cancer. 2015,23(3):687-694. Reisinger KW, van Vugt JL, Tegels JJ, et al. Functional compromise reflected by sarcopenia, frailty, and nutritional depletion predicts adverse postoperative outcome after colorectal cancer surgery. Ann Surg. 2015,261(2):345-352. Makiura D, Ono R, Inoue J, et al. Preoperative sarcopenia is a predictor of postoperative pulmonary complications in esophageal cancer following esophagectomy: a retrospective cohort study. J Geriatr Oncol. 2016,7(6):430-436. Heymsfield SB, Gonzalez MC, Lu J, Jia G, Zheng J. Skeletal muscle mass and quality: evolution of modern measurement concepts in the context of sarcopenia. Proc Nutr Soc. 2015,74(4):355-366. Tosato M, Marzetti E, Cesari M, et al. Measurement of muscle mass in sarcopenia: from imaging to biochemical markers. Aging Clin Exp Res. 2017,29(1):19-27. Song EJ, Lee CW, Jung SY, et al. Prognostic impact of skeletal muscle volume derived from cross-sectional computed tomography images in breast cancer. Breast Cancer Res Treat. 2018,172(2):425-436. van Vugt JLA, Coebergh van den Braak RRJ, Lalmahomed ZS, et al. Impact of low skeletal muscle mass and density on short and long-term outcome after resection of stage I-III colorectal cancer. Eur J Surg Oncol. 2018,44(9):1354-1360. Wirth R, Volkert D, Rosler A, Sieber CC, Bauer JM. Bioelectric impedance phase angle is associated with hospital mortality of geriatric patients. Arch Gerontol Geriatr. 2010,51(3):290-294. Bohm A, Heitmann BL. The use of bioelectrical impedance analysis for body composition in epidemiological studies. Eur J Clin Nutr. 2013,67:S79-S85. Kim YS, Kim EY, Kang SM, Ahn HK, Kim HS. Single cross-sectional area of pectoralis muscle by computed tomography - correlation with bioelectrical impedance based skeletal muscle mass in healthy subjects. Clin Physiol Funct Imaging. 2017,37(5):507-511. Malietzis G, Currie AC, Athanasiou T, et al. Influence of body composition profile on outcomes following colorectal cancer surgery. Br J Surg. 2016,103(5):572-580. |
معلومات مُعتمدة: | Seoul St. Mary's Hospital; The Catholic University of Korea |
فهرسة مساهمة: | Keywords: bioelectrical impedance analysis; body composition; colorectal cancer; computed tomography; skeletal muscle mass |
تواريخ الأحداث: | Date Created: 20190626 Date Completed: 20210421 Latest Revision: 20210421 |
رمز التحديث: | 20240628 |
DOI: | 10.1002/ncp.10363 |
PMID: | 31237032 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1941-2452 |
---|---|
DOI: | 10.1002/ncp.10363 |