Evidence map›Paper›PMID 39923027›Full record

ArticleBMC anesthesiology2025

Predicting postoperative nausea and vomiting after cesarean section: a nomogram model combined with gastric ultrasound.

Yingchao Liu, Huohu Zhong, Zhisen Dai, Yuxin Huang, Yibin Liu, Hefan He, Yuewen Liao, Weifeng Liu

Abstract read
In one paragraph

Article in BMC anesthesiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yingchao Liu *Department of Anesthesiology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian Province, 350000, China.
Huohu Zhong *Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, 362000, China.
Zhisen Dai *Department of Anesthesiology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian Province, 350000, China.
Yuxin HuangDepartment of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, 362000, China.
Yibin LiuDepartment of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, 362000, China.
Hefan HeDepartment of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, 362000, China.
Yuewen LiaoDepartment of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, 362000, China.
Weifeng LiuDepartment of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, 362000, China. liuzhao1301@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the independent risk factors associated with postoperative nausea and vomiting (PONV) following Cesarean section procedures, and establish and validate a nomogram to predict them.

methodsThe clinical data of 116 adult patients who underwent Cesarean section procedures between August 2022 and February 2023 were included. Participants were randomly divided into training (n = 87) and verification sets (n = 29) in a 3:1 ratio. Univariate and multivariate logistic regression were used to analyze the risk factors for PONV following Cesarean sections and the independent risk factors were then used for the prediction model. Simultaneously, 29 adult patients who underwent caesarean section between February 2023 and April 2023 were included in the hospital as a test set to conduct external verification of the nomogram and Apfel scoring models, and compare their diagnostic efficacy in predicting PONV after caesarean section.

resultsA history of motion sickness, systolic blood pressure reduction > 20%, and gastric volume were independent risk factors for PONV and used to construct the model. The AUC for predicting the risk of PONV in the training and validation sets was 0.814 (95% confidence interval [CI] = 0.709-0.918) and 0.792 (95% CI = 0.621-0.962), respectively. In the test set, the AUCs of the nomogram and the Apfel scoring models were 0.779 (95% CI = 0.593-0.965) and 0.547 (95% CI = 0.350-0.745), respectively, with the former being significantly higher (Z = 2.165, P < 0.05).

conclusionsOur nomogram model was superior to the Apfel scoring model and may be helpful in formulating appropriate individualized management strategies for nausea and vomiting following Cesarean sections, to promote the rapid recovery of patients.

Indexed as

Cesarean SectionNomogramsPostoperative Nausea and VomitingStomachAdultFemaleHumansPredictive Value of TestsPregnancyRisk FactorsUltrasonographyCesarean sectionGastric ultrasoundNomogramPostoperative nausea and vomiting

Identifiers

PMID39923027
PMCPMC11806823

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.