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接受癌症化疗的门诊患者口腔黏膜炎的发生率及发生风险因素。

Incidence of and risk factors for development of oral mucositis in outpatients undergoing cancer chemotherapy.

作者信息

Çakmak Seher, Nural Nesrin

机构信息

Department of Internal Medicine Nursing, Karadeniz Technical University, Trabzon, Turkey.

出版信息

Int J Nurs Pract. 2019 Feb;25(1):e12710. doi: 10.1111/ijn.12710. Epub 2018 Nov 21.

Abstract

AIM

The aims of the study are to determine the incidence of oral mucositis, the stage of the condition, risk factors, and other oral complications in patients receiving outpatient chemotherapy and to evaluate the factors that have an impact on these.

METHODS

The study included 147 patients undergoing outpatient cancer chemotherapy at the Chemotherapy Unit of a University Hospital between February and April 2015. We used a questionnaire and the World Health Organization "Mucositis Grading Scale". Chi-squared tests were used to determine the relationships between factors, and multiple logistic regression analysis was employed to explore predictive factors.

RESULTS

The frequency of oral mucositis was 51.7%. The most common oral problems were mouth dryness (55.1%), a reduced/changed sense of taste (52.4%), and a lack of appetite (47.6%). Logistic regression analysis showed that the risk factors for oral mucositis were advanced age, a lack of appetite, and the duration of chemotherapy.

CONCLUSIONS

As a result, half of all patients undergoing outpatient cancer chemotherapy developed oral mucositis. Patients are unable to adequately prevent oral mucositis and carry out oral care. It is recommended that more studies be conducted in outpatient units to evaluate predictive factors for oral mucositis.

摘要

目的

本研究旨在确定接受门诊化疗患者口腔黏膜炎的发生率、病情阶段、危险因素及其他口腔并发症,并评估影响这些因素的相关因素。

方法

本研究纳入了2015年2月至4月期间在某大学医院化疗科接受门诊癌症化疗的147例患者。我们使用了一份问卷和世界卫生组织的“黏膜炎分级量表”。采用卡方检验确定各因素之间的关系,并采用多元逻辑回归分析来探索预测因素。

结果

口腔黏膜炎的发生率为51.7%。最常见的口腔问题是口干(55.1%)、味觉减退/改变(52.4%)和食欲不振(47.6%)。逻辑回归分析表明,口腔黏膜炎的危险因素是高龄、食欲不振和化疗疗程。

结论

因此,所有接受门诊癌症化疗的患者中有一半发生了口腔黏膜炎。患者无法充分预防口腔黏膜炎并进行口腔护理。建议在门诊单位开展更多研究,以评估口腔黏膜炎的预测因素。

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