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Radiographic sarcopenia predicts postoperative infectious complications in patients undergoing pancreaticoduodenectomy

Overview of attention for article published in BMC Surgery, May 2017
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Title
Radiographic sarcopenia predicts postoperative infectious complications in patients undergoing pancreaticoduodenectomy
Published in
BMC Surgery, May 2017
DOI 10.1186/s12893-017-0261-7
Pubmed ID
Authors

Kosei Takagi, Ryuichi Yoshida, Takahito Yagi, Yuzo Umeda, Daisuke Nobuoka, Takashi Kuise, Toshiyoshi Fujiwara

Abstract

Recently, skeletal muscle depletion (sarcopenia) has been reported to influence postoperative outcomes after certain procedures. This study investigated the impact of sarcopenia on postoperative outcomes following pancreaticoduodenectomy (PD). We performed a retrospective study of consecutive patients (n = 219) who underwent PD at our institution between January 2007 and May 2013. Sarcopenia was evaluated using preoperative computed tomography. We evaluated postoperative outcomes and the influence of sarcopenia on short-term outcomes, especially infectious complications. Subsequently, multivariate analysis was used to assess the impact of prognostic factors (including sarcopenia) on postoperative infections. The mortality, major complication, and infectious complication rates for all patients were 1.4%, 16.4%, and 47.0%, respectively. Fifty-five patients met the criteria for sarcopenia. Sarcopenia was significantly associated with a higher incidence of in-hospital mortality (P = 0.004) and infectious complications (P < 0.001). In multivariate analyses, sarcopenia (odds ratio = 3.43; P < 0.001), preoperative biliary drainage (odds ratio = 2.20; P = 0.014), blood loss (odds ratio = 1.92; P = 0.048), and soft pancreatic texture (odds ratio = 3.71; P < 0.001) were independent predictors of postoperative infections. Sarcopenia is an independent preoperative predictor of infectious complications after PD. Clinical assessment combined with sarcopenia may be helpful for understanding the risk of postoperative outcomes and determining perioperative management strategies.

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Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 16%
Other 6 10%
Researcher 6 10%
Student > Bachelor 5 8%
Student > Doctoral Student 5 8%
Other 7 11%
Unknown 22 36%
Readers by discipline Count As %
Medicine and Dentistry 29 48%
Nursing and Health Professions 1 2%
Economics, Econometrics and Finance 1 2%
Arts and Humanities 1 2%
Social Sciences 1 2%
Other 3 5%
Unknown 25 41%