Suppr超能文献

患者报告的结果:使用 ESAS 筛查贫血。

Patient-reported outcomes: using ESAS to screen for anemia.

机构信息

Department of Radiation Oncology, H. Lee Moffitt Cancer Center & Research Institute, 12902 Magnolia Drive, Tampa, FL, 33612, USA.

Department of Health Outcomes & Behavior, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.

出版信息

Support Care Cancer. 2020 Sep;28(9):4141-4145. doi: 10.1007/s00520-019-05238-6. Epub 2019 Dec 24.

Abstract

PURPOSE

Patient perspectives of their symptom burden provide valuable data to clinicians. We have investigated the Edmonton Symptom Assessment Scale (ESAS) extensively in our radiation oncology and supportive care clinics. We were interested in examining whether ESAS data could correlate with anemia.

METHODS

Our clinics have used a modified ESAS since 2015; patients now input data directly into the electronic medical record using a tablet interface. Of 9813 patients providing ESAS reports, we retrieved hemoglobin (Hb) data from 8304. Of these, 1351 patients had both performed on the same day. Anemia existed if Hb was < 13.0 g/L (man) or < 12 g/L (woman).

RESULTS

When self-reported scores for both tiredness and shortness of breath were 7 and above, the positive predictive value (PPV) for anemia was 80%, and specificity was 97.6%. Corresponding sensitivity was 8.2% and accuracy was 48.9%. This 2-item model could be a valuable screening tool for lack of anemia in cancer patients in the outpatient setting: if patients rate both these ESAS items < 7, there exists < 3% false positive risk. An expanded 5-item model adding lack of appetite, pain, and bone marrow primary site increased sensitivity and accuracy at the expense of specificity and PPV. We consider this less clinically functional than the two-item screen.

CONCLUSION

This is one of the first reports of PRO data screening for a clinical sign, in this case, anemia. Predicting freedom from anemia is feasible using 2 ESAS survey questions: tiredness and shortness of breath.

摘要

目的

患者对自身症状负担的看法为临床医生提供了有价值的数据。我们已经在放射肿瘤学和支持性护理诊所中对埃德蒙顿症状评估量表(ESAS)进行了广泛研究。我们有兴趣研究 ESAS 数据是否与贫血相关。

方法

自 2015 年以来,我们的诊所一直使用改良的 ESAS;现在患者使用平板电脑界面直接将数据输入电子病历。在提供 ESAS 报告的 9813 名患者中,我们从 8304 名患者中检索了血红蛋白(Hb)数据。其中,有 1351 名患者在同一天进行了这两项检查。如果 Hb 男性<13.0g/L 或女性<12.0g/L,则存在贫血。

结果

当自我报告的疲倦和呼吸急促评分均为 7 分及以上时,贫血的阳性预测值(PPV)为 80%,特异性为 97.6%。相应的敏感性为 8.2%,准确性为 48.9%。这种两项目模型可能是一种有用的筛查工具,可以在门诊环境中筛查癌症患者是否存在贫血:如果患者对这两个 ESAS 项目的评分均<7,则存在<3%的假阳性风险。添加缺乏食欲、疼痛和骨髓原发病灶的扩展 5 项模型增加了敏感性和准确性,但牺牲了特异性和 PPV。我们认为这种方法不如两项目筛查更具临床功能。

结论

这是首次报告使用 PRO 数据筛查临床体征(在此情况下为贫血)的报告之一。使用 2 个 ESAS 调查问题预测无贫血是可行的:疲倦和呼吸急促。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e144/7771327/d59f59dc0e51/nihms-1653885-f0001.jpg

相似文献

1
Patient-reported outcomes: using ESAS to screen for anemia.患者报告的结果:使用 ESAS 筛查贫血。
Support Care Cancer. 2020 Sep;28(9):4141-4145. doi: 10.1007/s00520-019-05238-6. Epub 2019 Dec 24.
2
Congruence of multiple patient-related outcomes within a single day.同一天内多个患者相关结局的一致性。
Support Care Cancer. 2019 Mar;27(3):867-872. doi: 10.1007/s00520-018-4372-1. Epub 2018 Aug 1.
9
Symptom screening for constipation in oncology: getting to the bottom of the matter.肿瘤患者便秘的症状筛查:深究问题本质。
Support Care Cancer. 2019 Jul;27(7):2463-2470. doi: 10.1007/s00520-018-4520-7. Epub 2018 Oct 30.

本文引用的文献

2
Congruence of multiple patient-related outcomes within a single day.同一天内多个患者相关结局的一致性。
Support Care Cancer. 2019 Mar;27(3):867-872. doi: 10.1007/s00520-018-4372-1. Epub 2018 Aug 1.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验