Shen Z, Hu B, Tao L, Ma J, Peng R, Zhao Y, Hong J. Development and validation of a diagnostic model for the identification of
chronic ocular graft-versus-host disease (oGVHD).
Front Med (Lausanne) 2023;
10:1277194. [PMID:
37964878 PMCID:
PMC10641834 DOI:
10.3389/fmed.2023.1277194]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 10/09/2023] [Indexed: 11/16/2023] Open
Abstract
Purpose
To verify the International Chronic Ocular Graft-Versus-Host Disease (ICCGVHD) Group diagnostic criteria and establish an easy-to-use and reliable diagnosis model for quick identification of chronic oGVHD.
Methods
This study included 180 patients (355 eyes) who underwent allogeneic hematopoietic stem cell transplantation (allo-HSCT) and visited the Peking University Third Hospital Cornea and Ocular Surface Disease Specialist Clinic from July 2020 to February 2021. The proportion of chronic oGVHD was 76.06% (279/355).
Results
Five complaints, including eye dryness, photophobia, foreign body sensation, eye redness, and burning sensation; six ophthalmic examinations, including Ocular Surface Disease Index (OSDI) score, corneal fluorescein staining (CFS), tear break-up time (TBUT), Schirmer's test score without anesthesia, conjunctival score, tear meniscus height, and non-ocular GVHD-involved organs were significantly different between patients with chronic oGVHD and control group (p < 0.05). Binary logistic regression (backward LR algorithm) selection demonstrated that three variables retained diagnostic significance for chronic oGVHD: CFS (OR = 2.71 (1.92-3.81), p < 0.001), Schirmer's test score without anesthesia (OR = 0.83 (0.76-0.91), p < 0.001), and conjunctival score (OR = 1.96 (1.13-3.42), p = 0.031). A nomogram for the identification of chronic oGVHD was developed, and its performance was examined using an internal validation cohort (118 eyes). The areas under the curve (AUCs) for the three-variable-based nomogram were 0.976 (95% CI (0.959-0.992), p < 0.01) and 0.945 (95% CI (0.904-0.986), p < 0.01) in the development and internal validation cohorts, respectively.
Conclusion
This concise three-variable-based nomogram based on ICCGVHD criteria could serve as an easy-to-use and reliable tool for rapid screening of chronic oGVHD.
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