Quantitative Assessment of Visceral Obesity and Postoperative Colon Cancer Outcomes
Background Quantitative computed tomography (CT) assessment of visceral adiposity may be superior to body mass index (BMI) as a predictor of surgical morbidity. We sought to examine the association of CT measures of obesity and BMI with short-term postoperative outcomes in colon cancer patients. Met...
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Published in | Journal of gastrointestinal surgery Vol. 21; no. 3; pp. 534 - 542 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
Springer US
01.03.2017
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 1091-255X 1873-4626 |
DOI | 10.1007/s11605-017-3362-9 |
Cover
Summary: | Background
Quantitative computed tomography (CT) assessment of visceral adiposity may be superior to body mass index (BMI) as a predictor of surgical morbidity. We sought to examine the association of CT measures of obesity and BMI with short-term postoperative outcomes in colon cancer patients.
Methods
In this retrospective study, 110 patients treated with colectomy for stage I–III colon cancer were classified as obese or non-obese by preoperative CT-based measures of adiposity or BMI [obese: BMI ≥ 30 kg/m
2
, visceral fat area (VFA) to subcutaneous fat area ratio (
V
/
S
) ≥0.4, and VFA > 100 cm
2
]. Postoperative morbidity and mortality rates were compared.
Results
Obese patients, by
V
/
S
and VFA but not BMI, were more likely to be male and have preexisting hypertension and diabetes. The overall complication rate was 25.5%, and there were no mortalities. Obese patients by VFA (with a trend for
V
/
S
but not BMI) were more likely to develop postoperative complications as compared to patients classified as non-obese: VFA (30.5 vs.10.7%,
p =
0.03),
V
/
S
(29.2 vs. 9.5%,
p
= 0.05), and BMI (32.4 vs. 21.9%,
p
= 0.23).
Conclusions
Elevated visceral obesity quantified by CT is associated with the presence of key metabolic comorbidities and increased postoperative morbidity and may be superior to BMI for risk stratification. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 These authors contributed equally to this work. |
ISSN: | 1091-255X 1873-4626 |
DOI: | 10.1007/s11605-017-3362-9 |