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[多西他赛所致溢泪的回顾性分析]

[A Retrospective Analysis of Epiphora Due to Docetaxel].

作者信息

Noguchi Yusuke, Kawashima Yugo, Kawara Hiroko, Tokuyama Yoko, Tamura Yoshiko, Uchiyama Kiyoshi, Shimizu Yoshihiro

机构信息

Dept. of Pharmacy, Kyoto Okamoto Memorial Hospital.

出版信息

Gan To Kagaku Ryoho. 2016 Jun;43(6):737-41.

Abstract

Docetaxel is an antineoplastic agent used to treat breast cancer and several other types of cancer. Typical adverse drug reactions with docetaxel include myelosuppression and edema, but there have also been numerous reports of eye disorders, such as epiphora and lacrimal duct obstruction. Reports from Japan on such reactions, however, are limited; the duration and frequency of their appearance and other factors have not been elucidated. Since this information would be useful in routine medical practice, we conducted a retrospective analysis of epiphora due to docetaxel. Of the 48 breast cancer patients who commenced new 3-weekly docetaxel dosage regimens during the study period, 6 (12.5%) presented with epiphora. The patients with epiphora were receiving docetaxel at a significantly greater dose intensity (mg/m 2/3 weeks) than those in whom epiphora did not present (72.7 vs 67.1, p=0.0427). The timing of the reaction had no fixed pattern, and the symptoms were reversible in all cases, recorded as Grade 1 or 2. Thus, epiphora due to docetaxel during a 3-weekly dosage regimen presented rather frequently in Japanese patients, and the symptoms were reversible and mild. We found that greater dose intensity might be a risk factor for epiphora. More detailed studies that include data from a large number of facilities should be conducted in the future.

摘要

多西他赛是一种用于治疗乳腺癌和其他几种癌症的抗肿瘤药物。多西他赛的典型药物不良反应包括骨髓抑制和水肿,但也有许多关于眼部疾病的报道,如流泪和泪道阻塞。然而,日本关于此类反应的报道有限;其出现的持续时间、频率及其他因素尚未阐明。由于这些信息在日常医疗实践中会很有用,我们对多西他赛所致流泪进行了回顾性分析。在研究期间开始新的每3周一次多西他赛给药方案的48例乳腺癌患者中,有6例(12.5%)出现流泪。出现流泪的患者接受多西他赛的剂量强度(mg/m²/3周)显著高于未出现流泪的患者(72.7对67.1,p = 0.0427)。反应发生时间无固定模式,所有病例症状均可逆,记录为1级或2级。因此,在日本患者中,每3周一次给药方案期间多西他赛所致流泪较为常见,症状可逆且轻微。我们发现较高的剂量强度可能是流泪的一个危险因素。未来应开展包括大量机构数据的更详细研究。

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