• 国家药监局综合司 国家卫生健康委办公厅
  • 国家药监局综合司 国家卫生健康委办公厅

Construction and validation of Nomogram analysis model for nausea and vomiting after lobectomy in non-small cell lung cancer patients

DOI: 10.12201/bmr.202507.00001
Statement: This article is a preprint and has not been peer-reviewed. It reports new research that has yet to be evaluated and so should not be used to guide clinical practice.
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    Abstract: Objective To investigate the influencing factors of nausea and vomiting in patients with non-small cell lung cancer (NSCLC) after lobectomy, and to construct and validate a nomogram risk prediction model. Method 180 NSCLC patients admitted to the hospital from September 2022 to February 2024 were selected as the training set, and their postoperative clinical data were followed up. According to whether there was nausea and vomiting within 48 hours after surgery, they were divided into nausea and vomiting group and no nausea and vomiting group. Obtain independent influencing factors through multiple logistic regression analysis and construct a nomogram prediction model. 77 NSCLC patients admitted to the hospital from March 2024 to February 2025 were selected as the validation set to validate the model. Result There were 55 cases (30.56%) in the nausea and vomiting group and 125 cases (69.44%) in the non nausea and vomiting group. Multiple logistic regression analysis showed that gender (β=-0.921, OR=0.398, 95% CI: 0.184-0.864), surgical time (β=0.027, OR=1.027, 95% CI: 1.013-1.042), history of motion sickness (β=1.219, OR=3.385, 95% CI: 1.301-8.811), and postoperative use of opioid drugs (β=1.476, OR=4.376, 95% CI: 1.862-10.287) were independent influencing factors for postoperative nausea and vomiting in NSCLC patients (all P<0.05). The area under the ROC curve (AUC) of the prediction model constructed based on independent factors is 0.834 (95% CI: 0.774~0.894), with a sensitivity of 0.873 and a specificity of 0.664. The model calibration curve has good consistency and is close to the standard curve. The Hosmer Lemeshow goodness of fit test results showed that X2=9.439, P=0.307. The AUC of external validation was 0.895 (95% CI: 0.826-0.965), with a sensitivity of 0.957 and a specificity of 0.704. Conclusion The Nomogram risk prediction model for nausea and vomiting in NSCLC patients after lobectomy demonstrates high predictive efficacy, which can help healthcare workers effectively identify high-risk individuals for postoperative nausea and vomiting and provide decision-making references for early intervention.

    Key words: Non-small cell lung cancer; Lobectomy of lung; Nausea and vomiting; Influencing factors; Nomogram

    Submit time: 1 July 2025

    Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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    1 2025-05-09

    bmr.202507.00001V1

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付思思. Construction and validation of Nomogram analysis model for nausea and vomiting after lobectomy in non-small cell lung cancer patients. 2025. biomedRxiv.202507.00001

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