This was a retrospective cohort study conducted at the First People’s Hospital of Wuhu from January 2020 to June 2025. The population included 218 individuals with Crohn's disease admitted to the hospital. The study compared different biologics and targeted therapies, including upadacitinib, as exposures.
The primary outcome was clinical remission rates at 14 and 26 weeks. For upadacitinib, the clinical remission rate at week 26 was 94.1% (16/17 subjects), which was reported as higher than other biologics. A model for identifying treatment response had an AUC of 0.796, and internal validation showed a C-index of 0.74, indicating moderate discriminative performance.
Safety and tolerability data were not reported. Key limitations include the small cohort for the upadacitinib finding and the need for validation in a larger-scale study. The study's practice relevance is that it developed a practical tool to help clinicians identify treatment response to biologics and targeted therapy in Crohn's disease patients, promoting personalized treatment.
The findings are based on an observational study, and the upadacitinib finding is an association only, with no causation implied. The certainty is limited, as the upadacitinib finding requires larger validation, and model performance is moderate, not high.
View Original Abstract ↓
Biologics and targeted therapies are a first-line treatment option for individuals with Crohn’s disease (CD). Nevertheless, clinical remission rates vary considerably among different biologics and targeted therapies. This study aims to develop and validate a predictive nomogram for the response to biologics and targeted therapy in individuals with CD.
This study included individuals with CD admitted to the First People’s Hospital of Wuhu from January 2020 to June 2025. Clinical remission rates at 14 and 26 weeks were observed. The clinical remission rates of different biologics and targeted therapy were analyzed using the chi-square test, and multiple comparisons were performed. The least absolute contraction and selection operator (LASSO) regression algorithm was used to determine variables related to clinical remission. A nomogram model was constructed, and the model performance was assessed utilizing receiver operating characteristic (ROC) curves, calibration curves, and decision curves (DCA). Internal validation was performed using repeated sampling and Harrell’s concordance index (C-index).
218 patients were included in the study. Compared with other biologics, upadacitinib (UPA) had the highest clinical remission rate at week 26 (94.1%,16/17subjects). Nine variables were identified by LASSO regression, including pre-treatment Crohn’s disease activity index (CDAI), disease duration, smoking history, disease site, disease behavior, perianal lesions, hemoglobin (Hb), erythrocyte sedimentation rate (ESR), and type of biologic. The area under the curve (AUC value) was 0.796. The calibration curve and DCA curve showed good calibration and clinical applicability. The internal validation also demonstrated moderate discriminative performance, with a C-index of 0.74.
The study results demonstrate that UPA appears to show a significant clinical remission rate in a small cohort, but this finding needs to be validated in a larger-scale study. Furthermore, a practical tool has been developed to help clinicians identify the treatment response to biologics and targeted therapy in CD patients, promoting the development of personalized treatment and precision medicine.