Hindocha Sumeet, Campbell Des, Ahmed Merina, Giorgakoudi Kyriaki, Sharma Bhupinder, Yousaf Nadia, Molyneaux Philip, Hunter Benjamin, Kalsi Hardeep, Cui Wanyuan, Davidson Michael, Bhosle Jaishree, Minchom Anna, Locke Imogen, McDonald Fiona, O'Brien Mary, Popat Sanjay, Lee Richard W
Lung Unit, The Royal Marsden, National Health Service (NHS) Foundation Trust, London, United Kingdom.
Artificial Intelligence (AI) for Healthcare Centre for Doctoral Training, Imperial CollegeLondon, London, United Kingdom.
Front Med (Lausanne). 2021 Nov 1;8:764563. doi: 10.3389/fmed.2021.764563. eCollection 2021.
Pneumonitis is a well-described, potentially life-threatening adverse effect of immune checkpoint inhibitors (ICI) and thoracic radiotherapy. It can require additional investigations, treatment, and interruption of cancer therapy. It is important for clinicians to have an awareness of its incidence and severity, however real-world data are lacking and do not always correlate with findings from clinical trials. Similarly, there is a dearth of information on cost impact of symptomatic pneumonitis. Informatics approaches are increasingly being applied to healthcare data for their ability to identify specific patient cohorts efficiently, at scale. We developed a Structured Query Language (SQL)-based informatics algorithm which we applied to CT report text to identify cases of ICI and radiotherapy pneumonitis between 1/1/2015 and 31/12/2020. Further data on severity, investigations, medical management were also acquired from the electronic health record. We identified 248 cases of pneumonitis attributable to ICI and/or radiotherapy, of which 139 were symptomatic with CTCAE severity grade 2 or more. The grade ≥2 ICI pneumonitis incidence in our cohort is 5.43%, greater than the all-grade 1.3-2.7% incidence reported in the literature. Time to onset of ICI pneumonitis was also longer in our cohort (mean 4.5 months, range 4 days-21 months), compared to the median 2.7 months (range 9 days-19.2 months) described in the literature. The estimated average healthcare cost of symptomatic pneumonitis is £3932.33 per patient. In this study we use an informatics approach to present new real-world data on the incidence, severity, management, and resource burden of ICI and radiotherapy pneumonitis. To our knowledge, this is the first study to look at real-world incidence and healthcare resource utilisation at the per-patient level in a UK cancer hospital. Improved management of pneumonitis may facilitate prompt continuation of cancer therapy, and improved outcomes for this not insubstantial cohort of patients.
肺炎是免疫检查点抑制剂(ICI)和胸部放疗一种已被充分描述的、可能危及生命的不良反应。它可能需要进一步的检查、治疗以及中断癌症治疗。临床医生了解其发病率和严重程度很重要,然而缺乏真实世界的数据,且这些数据并不总是与临床试验结果相关。同样,关于症状性肺炎的成本影响也缺乏信息。信息学方法因其能够大规模高效识别特定患者队列的能力,正越来越多地应用于医疗保健数据。我们开发了一种基于结构化查询语言(SQL)的信息学算法,并将其应用于CT报告文本,以识别2015年1月1日至2020年12月31日期间ICI和放疗所致肺炎的病例。还从电子健康记录中获取了关于严重程度、检查、医疗管理的进一步数据。我们识别出248例归因于ICI和/或放疗的肺炎病例,其中139例有症状,CTCAE严重程度为2级或更高。我们队列中≥2级ICI肺炎的发病率为5.43%,高于文献报道的全级发病率1.3 - 2.7%。与文献中描述的中位发病时间2.7个月(范围9天 - 19.2个月)相比,我们队列中ICI肺炎的发病时间也更长(平均4.5个月,范围4天 - 21个月)。症状性肺炎的估计平均医疗成本为每位患者3932.33英镑。在本研究中,我们使用信息学方法呈现关于ICI和放疗肺炎的发病率、严重程度、管理及资源负担的新的真实世界数据。据我们所知,这是第一项在英国癌症医院研究每位患者层面真实世界发病率和医疗资源利用情况的研究。改善肺炎的管理可能有助于及时继续癌症治疗,并改善这一相当数量患者群体的治疗结果。