Visceral-to-Subcutaneous Fat Ratio Is a Potential Predictor of Postoperative Complications in Colorectal Cancer.


Journal

Medical science monitor : international medical journal of experimental and clinical research
ISSN: 1643-3750
Titre abrégé: Med Sci Monit
Pays: United States
ID NLM: 9609063

Informations de publication

Date de publication:
08 Jun 2021
Historique:
entrez: 8 6 2021
pubmed: 9 6 2021
medline: 15 12 2021
Statut: epublish

Résumé

BACKGROUND Colorectal cancer (CRC) is one of the most common malignant tumors. Surgery is the primary treatment for CRC. Recent studies have shown that visceral-to-subcutaneous fat ratio (VSR) may be a potential indicator of risk. The aim of the present study was to determine whether VSR is a suitable predictor of the impact of postoperative complications in CRC. MATERIAL AND METHODS Clinical data from 129 patients were analyzed retrospectively. All patients underwent laparoscopic surgery for CRC. Preoperative imaging was used to quantify VSR. The primary outcome was 30-day postoperative complications. Multivariate logistic regression was used to determine the association between obesity indexes and postoperative complications. RESULTS There were 129 patients who underwent primary resections of colorectal cancer. At 30 days after surgery, postoperative complications had occurred in 33 (25.6%) patients. VSR was significantly associated with postoperative complications in multivariate analysis (P=0.032, OR 6.103, 95% CI 1.173-31.748). In ROC analysis, VSR was a potential predictor of complications (AUC 0.650). A cutoff value of VSR ≥0.707 was associated with 60% sensitivity and 29% specificity for postoperative complications. Patients with VSR ≥0.707 had 41.7% risk of morbidity, whereas those with <0.707 had 16.0% risk (P=0.001). CONCLUSIONS Our study shows that VSR is superior to VFA for prediction of the risk of complications following CRC laparoscopic surgery. We have also identified the optimal cutoff values for the use of VSR for this purpose. Measurement of VSR and identifying patients with increased risk of postoperative complications facilitate making perioperative decisions.

Identifiants

pubmed: 34099612
pii: 930329
doi: 10.12659/MSM.930329
pmc: PMC8196549
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e930329

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Auteurs

An-Qi He (AQ)

Department of General Surgery, Tianjin Medical University General Hospital, Tianjin, China (mainland).

Chun-Qiang Li (CQ)

Department of General Surgery, Tianjin Medical University General Hospital, Tianjin, China (mainland).

Qi Zhang (Q)

Department of General Surgery, Tianjin Medical University General Hospital, Tianjin, China (mainland).

Tong Liu (T)

Department of General Surgery, Tianjin Medical University General Hospital, Tianjin, China (mainland).

Jian Liu (J)

Department of General Surgery, Tianjin Medical University General Hospital, Tianjin, China (mainland).

Gang Liu (G)

Department of General Surgery, Tianjin Medical University General Hospital, Tianjin, China (mainland).

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Classifications MeSH