Simple Postoperative Markers for Early Identification of Low-Risk Patients After Gastric or Colorectal Cancer Surgery: A Retrospective Cohort Study
BackgroundEarly identification of low-risk patients after curative gastric or colorectal surgery can enable safe, timely discharge. We evaluated two routinely available postoperative markers-serum prealbumin (PA) and lymphocyte percentage (L%)-as a simple rule-out strategy.MethodsThis is a single-center retrospective cohort study with a temporal external validation set. Prealbumin (mg/dL) and L% (%) were measured on postoperative day (POD)1/3/5. We prespecified a high-sensitivity threshold (sensitivity ≥90%) in the training cohort and assessed its performance in the validation cohort. Multivariable logistic models were fitted at POD3 and POD5.ResultsPostoperative day 1 L% showed limited discrimination; analyses focused on POD3/5. At both time points, PA and L% were independent protective predictors, with no effect modification by tumor site. Slim (PA + L%) and Full models had similar discrimination; both were well calibrated, and decision-curve analysis indicated clear net benefit over default strategies. Under the fixed high-sensitivity approach, the POD3 Slim model maintained high sensitivity and NPV with moderate specificity.ConclusionsBy POD3, combining PA and L% provides a low-cost, readily deployable, rule-out-oriented approach that supports safe early discharge within structured postoperative pathways. Multicenter prospective validation and impact studies are warranted.
Authors
- Xiaohua Jiang (ORCID: https://orcid.org/0000-0001-7001-4676)
- H W Chen (ORCID: https://orcid.org/0009-0006-7583-8811)
- Xiaobin Zhu (ORCID: https://orcid.org/0000-0001-5853-090X)
- Xiaoqiao Zhang (ORCID: https://orcid.org/0000-0001-7060-6030)
- D Li (ORCID: https://orcid.org/0009-0003-2865-345X)
Institutions
- Shandong Provincial Hospital (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- The American Surgeon
- Published
- 2025-11-27
- DOI
- https://doi.org/10.1177/00031348251405539
- Primary Topic
- Inflammatory Biomarkers in Disease Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00