A nomogram model for predicting ocular GVHD following allo-HSCT based on risk factors.
BMC Ophthalmol
; 23(1): 28, 2023 Jan 23.
Article
en En
| MEDLINE
| ID: mdl-36690959
ABSTRACT
OBJECTIVE:
To develop and validate a nomogram model for predicting chronic ocular graft-versus-host disease (coGVHD) in patients after allogenic haematopoietic stem cell transplantation (allo-HSCT).METHODS:
This study included 61 patients who survived at least 100 days after allo-HSCT. Risk factors for coGVHD were screened using LASSO regression, then the variables selected were subjected to logistic regression. Nomogram was established to further confirm the risk factors for coGVHD. Receiver operating characteristic (ROC) curves were constructed to assess the performance of the predictive model with the training and test sets. Odds ratios and 95% confidence intervals (95% CIs) were calculated by using logistic regression analysis.RESULTS:
Among the 61 patients, 38 were diagnosed with coGVHD. We selected five texture features lymphocytes (LYM) (OR = 2.26), plasma thromboplastin antecedent (PTA) (OR = 1.19), CD3 + CD25 + cells (OR = 1.38), CD3 + HLA-DR + cells (OR = 0.95), and the ocular surface disease index (OSDI) (OR = 1.44). The areas under the ROC curve (AUCs) of the nomogram with the training and test sets were 0.979 (95% CI, 0.895-1.000) and 0.969 (95% CI, 0.846-1.000), respectively.And the Hosmer-Lemeshow test was nonsignificant with the training (p = 0.9949) and test sets (p = 0.9691).CONCLUSION:
We constructed a nomogram that can assess the risk of coGVHD in patients after allo-HSCT and help minimize the irreversible loss of vision caused by the disease in high-risk populations.Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Trasplante de Células Madre Hematopoyéticas
/
Enfermedad Injerto contra Huésped
Tipo de estudio:
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Humans
Idioma:
En
Año:
2023
Tipo del documento:
Article