Nomogram for predicting opioid-induced nausea and vomiting for cancer pain patients.


Journal

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
ISSN: 1433-7339
Titre abrégé: Support Care Cancer
Pays: Germany
ID NLM: 9302957

Informations de publication

Date de publication:
02 Nov 2023
Historique:
received: 11 07 2023
accepted: 24 10 2023
medline: 3 11 2023
pubmed: 2 11 2023
entrez: 2 11 2023
Statut: epublish

Résumé

Opioid-induced nausea and vomiting are frequently observed as an adverse effect in the treatment of cancer-related pain. The factors that affect OINV in cancer patients remain unclear. In this study, we developed a nomogram for predicting the occurrence of OINV in this population using retrospective clinical data. We collected data from 416 cancer pain patients, 70% of whom used the training set to analyze demographic and clinical variables. We used multivariate logistic regression to identify significant factors associated with OINV. Then, we construct a prediction nomogram. The validation set comprises the remaining 30%. The reliability of the nomogram is evaluated by bootstrap resampling. Using multivariate logistic regression, we identified five significant factors associated with OINV. The C-index was 0.835 (95% confidence interval [CI], 0.828-0.842) for the training set and 0.810 (95% CI, 0.793-0.826) for the validation set. The calibrated curves show a good agreement between the predicted and actual occurrence of OINV. In a retrospective study based on five saliency-found variables, we developed and proved a reliable nomogram model to predict OINV in cancer pain patients. Future prospective studies should assess the model's reliability and usefulness in clinical practice.

Identifiants

pubmed: 37914831
doi: 10.1007/s00520-023-08144-0
pii: 10.1007/s00520-023-08144-0
pmc: PMC10620250
doi:

Substances chimiques

Analgesics, Opioid 0
Antiemetics 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

663

Subventions

Organisme : National Natural Science Foundation of China
ID : 81702678
Organisme : National Natural Science Foundation of China
ID : 82103045
Organisme : Beijing Xisike Clinical Oncology Research Foundation
ID : Y-XD202001-0332

Informations de copyright

© 2023. The Author(s).

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Auteurs

Lingping Kong (L)

Department of Medical Oncology, Tianjin Medical University General Hospital, Tianjin, 300052, China.

Jing Wang (J)

Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, 300052, China.

Shasha Guan (S)

Department of Medical Oncology, Tianjin Medical University General Hospital, Tianjin, 300052, China.

Xiaochen Chen (X)

Department of Medical Oncology, Tianjin Medical University General Hospital, Tianjin, 300052, China.

Meiqing Li (M)

Department of Oncology, People's Hospital of Inner Mongolia Autonomous Region, Hohhot, 010017, Inner Mongolia, China.

Liming Gao (L)

Department of Oncology, The First Hospital of Qinhuangdao, Qinhuangdao, 066000, Hebei, China.

Diansheng Zhong (D)

Department of Medical Oncology, Tianjin Medical University General Hospital, Tianjin, 300052, China.

Linlin Zhang (L)

Department of Medical Oncology, Tianjin Medical University General Hospital, Tianjin, 300052, China. zllcaroline@tmu.edu.cn.

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