To Örebro University

oru.seÖrebro University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Predicting immune-related adverse events using a simplified frailty score in cancer patients treated with checkpoint inhibitors: A retrospective cohort study
Department of Immunology, Genetics, and Pathology, Uppsala University, Uppsala, Sweden; Department of Oncology, Uppsala University Hospital, Uppsala, Sweden.
Department of Immunology, Genetics, and Pathology, Uppsala University, Uppsala, Sweden; Department of Oncology, Uppsala University Hospital, Uppsala, Sweden.
Department of Immunology, Genetics, and Pathology, Uppsala University, Uppsala, Sweden; Department of Oncology, Uppsala University Hospital, Uppsala, Sweden.
Department of Oncology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Show others and affiliations
2023 (English)In: Cancer Medicine, E-ISSN 2045-7634, Vol. 12, no 12, p. 13217-13224Article in journal (Refereed) Published
Abstract [en]

OBJECTIVE: Checkpoint inhibitors (CPIs) are in widespread clinical use. Little is known about which patients are at risk for developing toxicity. It is essential being able to identify patients with higher risk of experiencing immune-related adverse events (IRAEs) before initiation of CPI treatment to optimize treatment decisions and follow-up strategy. The aim of this study was to investigate whether a simplified frailty score based on performance status (PS), age, and comorbidity expressed as Charlson comorbidity index (CCI) could predict development of IRAEs.

METHODS: We performed a retrospective cohort study at three Swedish centers. All patients (n = 596) treated with PD-L1 or PD-1 inhibitor for advanced cancer between January 2017 and December 2021 were included.

RESULTS: In total, 361 patients (60.6%) were classified as nonfrail and 235 (39.4%) as frail. The most common cancer type was non-small cell lung cancer (n = 203; 34.1%) followed by malignant melanoma (n = 195; 32.7%). Any grade of IRAE occurred in 138 (58.7%) frail and in 155 (42.9%) non-frail patients (OR: 1.58; 95% CI: 1.09-2.28). Age, CCI, and PS did not independently predict the occurrence of IRAEs. Multiple IRAEs occurred in 53 (22.6%) frail and in 45 (12.5%) nonfrail patients (OR: 1.62; 95% CI: 1.00-2.64).

DISCUSSION: In conclusion, the simplified frailty score predicted all grade IRAEs and multiple IRAEs in multivariate analyses whereas age, CCI, or PS did not separately predict development of IRAEs suggesting that this easy-to-use score may be of value in clinical decision making but a large prospective study is needed to assess its true value.

Place, publisher, year, edition, pages
John Wiley & Sons, 2023. Vol. 12, no 12, p. 13217-13224
Keywords [en]
Advanced cancer, checkpoint inhibitor, cohort study, frailty score, immune-related adverse events
National Category
Cancer and Oncology
Identifiers
URN: urn:nbn:se:oru:diva-105832DOI: 10.1002/cam4.6013ISI: 000981569000001PubMedID: 37132258Scopus ID: 2-s2.0-85158108493OAI: oai:DiVA.org:oru-105832DiVA, id: diva2:1754606
Note

Funding agencies:

Research Foundation Stiftelsen Onklologoska Kliniken i Uppsalas Forskningsfond

Uppsala University Hospital (ALF)

Available from: 2023-05-04 Created: 2023-05-04 Last updated: 2024-01-17Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records

Valachis, Antonios

Search in DiVA

By author/editor
Valachis, Antonios
By organisation
School of Medical SciencesÖrebro University Hospital
In the same journal
Cancer Medicine
Cancer and Oncology

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 33 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf