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.

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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
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article

Simple Postoperative Markers for Early Identification of Low-Risk Patients After Gastric or Colorectal Cancer Surgery: A Retrospective Cohort Study

Xiaohua Jiang, H W Chen, Xiaobin Zhu, Xiaoqiao Zhang et al.
The American Surgeon
Inflammatory Biomarkers in Disease Prognosis
article

Simple Postoperative Markers for Early Identification of Low-Risk Patients After Gastric or Colorectal Cancer Surgery: A Retrospective Cohort Study

Xiaohua Jiang, H W Chen, Xiaobin Zhu, Xiaoqiao Zhang, D Li
article en

Abstract

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.

The American Surgeon
Shandong Provincial Hospital (CN), Shandong First Medical University (CN)
Openalex Percentile: Top 49%
Inflammatory Biomarkers in Disease Prognosis
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Simple Postoperative Markers for Early Identification of Low-Risk Patients After Gastric or Colorectal Cancer Surgery: A Retrospective Cohort Study — Xiaohua Jiang, H W Chen, et al. · The American Surgeon (2025) | TGRS Research Map | TGRS