Development and internal validation of a multivariable nomogram for predicting postoperative complications…

Cohort studyFrontiers in medicine· 2026

Development and internal validation of a multivariable nomogram for predicting postoperative complications and prolonged length of hospital stay in patients undergoing video-assisted thoracoscopic surgery: a single-center prospective cohort study.

Yan Yang, Feng Shao, Guanghui Xia … Yang Yang

General Thoracic & LungCohort studyPrognosisQ1IF 3.4

Nomogram predicts postoperative complications after thoracoscopic lung cancer surgery accurately

Development and internal validation of a multivariable nomogram for predicting postoperative complications and prolonged length of hospital stay in patients undergoing video-assisted thoracoscopic surgery: a single-center prospective cohort study.

Yan Yang … Yang Yang

Frontiers in medicine · 2026 · Q1 in General Medicine

Purpose

To develop and internally validate a nomogram prediction model for postoperative complications and prolonged length of hospital stay in patients undergoing video-assisted thoracoscopic surgery based on the Enhanced Recovery After Surgery concept.

Methods

We selected 399 lung cancer patients who underwent thoracoscopic surgery at the Thoracic Surgery Department of the Affiliated Brain Hospital of Nanjing Medical University from June 2022 to April 2023.

n = 399 lung cancer patients

Results

correctly separates complications from no complications in most cases, 1.0 would be perfect

AUC 0.83 (95% CI 0.78 to 0.94)

CI excludes the null - significant

More results

Multivariate logistic regression identified factors such as preoperative prediction, early rehabilitation nursing, and bed activity time as significant for postoperative complications and hospitalization time ( P < 0.05).

For prolonged hospital stay, the ROC area was 0.856 (95% CI: 0.749-0.941), with a C-index of 0.767.

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Conclusion · 1 of 2

This model has high clinical prediction ability. Nursing interventions based on rapid rehabilitation surgery benefit lung cancer patients post-thoracoscopic surgery by reducing complications and shortening hospital stays.

Conclusion · 2 of 2

The prediction model, combined with basic clinical data, aids in creating better treatment plans.

Development and internal validation of a multivariable nomogram for predicting postoperative complications and prolonged length of hospital stay in patients undergoing video-assisted thoracoscopic surgery: a single-center prospective cohort study.

Development and internal validation of a multivariable nomogram for predicting postoperative complications and prolonged length of hospital stay in patients undergoing video-assisted thoracoscopic surgery: a single-center prospective cohort study.

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