Evidence map›Paper›PMID 41292565›Full record

ArticleHealth science reports2025

Development and Validation of a Nomogram for Predicting Intravenous Amiodarone-Induced Phlebitis: A Prospective Cohort Study.

Jiexia Li, Rui Huang, Chunrong Li, Fujia Qin, Zhishuang Tan, Xiaoyan Lin, Haimin Qin

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

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jiexia LiDepartment of Nursing Office Guigang City People's Hospital Guigang China.ORCID https://orcid.org/0009-0009-5263-4519
Rui HuangDepartment of Nursing Office Guigang City People's Hospital Guigang China.
Chunrong LiDepartment of Nursing Office Guigang City People's Hospital Guigang China.
Fujia QinDepartment of Nursing Office Guigang City People's Hospital Guigang China.
Zhishuang TanDepartment of Cardiovascular Medicine Guigang City People's Hospital Guigang China.
Xiaoyan LinDepartment of Neurology Guigang City People's Hospital Guigang China.
Haimin QinDepartment of Emergency Guigang City People's Hospital Guigang China.ORCID https://orcid.org/0009-0005-7934-7633

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intravenous amiodarone is primarily used to treat hemodynamically unstable atrial or ventricular arrhythmias and prevent atrial fibrillation after cardiac surgery. However, when administered via peripheral intravenous infusion, the incidence of phlebitis is relatively high. This increase in complication rate not only increases patient discomfort and prolongs hospitalization but may also adversely affect treatment efficacy and quality of life. Therefore, early identification of high-risk patients and timely intervention are crucial for reducing the occurrence of phlebitis, enhancing treatment safety, and improving patient prognosis. Aim: This study aimed to develop and validate a nomogram to predict the risk of phlebitis associated with peripheral intravenous injection of amiodarone. Design: This study is a prospective cohort study. Methods: The research was carried out at Guigang People's Hospital in China. A total of 393 cases who underwent intravenous infusion of amiodarone through the peripheral vein between January 2022 and December 2023 constituted the study cohort. The cohort was randomly divided using computer-generated randomization numbers, with stratification maintained for key clinical characteristics (including age, infusion duration, and concentration). A 70:30 ratio allocation was applied to create a training set ( Results: Age, infusion time, infusion concentration, and whether to perform 2 h of alternating indwelling needle were factors influencing the occurrence of phlebitis associated with peripheral intravenous use of amiodarone. A nomogram model of the risk of developing phlebitis with peripheral intravenous injection of amiodarone was successfully constructed. Bootstrap results showed that the calibration curves fitted well with the ideal curves. The areas under the receiver operating characteristic (ROC) curve for the training and validation sets were 0.812 (95% CI: 0.757-0.867) and 0.798 (95% CI: 0.712-0.883), respectively. The results of Hosmer-Lemeshow goodness-of-fit test revealed Conclusions: The model showed a good predictive effect, and it can be effectively used as a tool for clinically assessing the risk of phlebitis following peripheral intravenous injection of amiodarone.

Indexed as

amiodaronenursing careperipheral veinphlebitispredictive modeling

Identifiers

PMID41292565
PMCPMC12641148

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