Background: Certolizumab pegol (CZP) has been successfully used for the treatment of Crohn disease (CD); however, real-world data regarding the utility of CZP trough levels (CTLs) are lacking. We aimed to correlate CTL with CD outcomes and to determine frequency of CZP antibodies.
Methods: Retrospective evaluation of all CD patients on maintenance CZP with CTL obtained between 2016 and 2019. Outcomes included: median CTL, presence of anti-CZP antibodies, biochemical response (BR), clinical response (CR), radiologic response (RR), radiologic healing (RH), and mucosal healing (MH).
Results: Seventy-seven CD patients were included. Median CTL was 18.9 µg/mL (interquartile range, 7.6-35.4). Twenty-three patients (27.3%) had positive antibody levels, with lower median CTL compared to patients with no antibodies (0.0 vs 29.8; < 0.0001). Median CTL levels were higher in patients with vs without CR (30.4 vs 10.3 µg/mL; = 0.0015) and RR (29.6 vs 5.8 µg/mL; = 0.006). CZP dosing at least every 2 weeks was associated with higher odds of achieving MH (odds ratio, 3.2; 95% confidence interval, 1.03-9.97). CTL resulted in change in clinical management in 62.7% of cases and presence of CMZ antibodies was associated with an odds ratio of 5.83 (95% confidence interval, 1.57-21.73) of change in management. Receiver operating characteristic curve and quartile analysis suggested that CTL >19 µg/mL is associated with increased rates of CR and RR.
Conclusions: Higher CTL was significantly associated with CR and RR. The rate of CZP antibodies was 27.3%. Our data suggest maintenance CTL of ≥19 µg/mL should be achieved in order to optimize outcomes in clinical practice.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9802288 | PMC |
http://dx.doi.org/10.1093/crocol/otab019 | DOI Listing |
Interv Pain Med
December 2024
Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, UT, USA.
Signal Transduct Target Ther
November 2024
Division of Abdominal Tumor, Department of Medical Oncology, Cancer Center and State Key Laboratory of Biological Therapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Radiology
November 2024
From the Department of Computer Science, Johns Hopkins University, 3400 N Charles St, Baltimore, MD 21218 (D.P., A.M., S.S., C.M.H.); Bayesian Health, New York, NY (S.S.); Department of Diagnostic Radiology, University of Maryland School of Medicine, Baltimore, Md (J.J., P.H.Y.); Department of Radiology, St Jude Children's Research Hospital, Memphis, Tenn (P.H.Y.); and Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Md (C.T.L.).
Background It is unclear whether artificial intelligence (AI) explanations help or hurt radiologists and other physicians in AI-assisted radiologic diagnostic decision-making. Purpose To test whether the type of AI explanation and the correctness and confidence level of AI advice impact physician diagnostic performance, perception of AI advice usefulness, and trust in AI advice for chest radiograph diagnosis. Materials and Methods A multicenter, prospective randomized study was conducted from April 2022 to September 2022.
View Article and Find Full Text PDFBoth Kaposi sarcoma herpesvirus LANA and SARS coronavirus 2 RdRp/nsp12 are highly conserved replication proteins that evade immune processing. By deleting the LANA central repeat 1 domain (LANA ) or by dividing RdRp into two separated fragments (RdRp ) to maximize nascent protein mis-folding, cis peptide presentation was increased. Native LANA or RdRp SIINFEKL fusion proteins expressed in MC38 cancer cells were not recognized by activated OT-1 CD8 cells against SIINFEKL but cytotoxic recognition was restored by expression of the corresponding modified proteins.
View Article and Find Full Text PDFJ Biomed Mater Res A
January 2025
School of Chemistry and Australian Centre of NanoMedicine, University of New South Wales, Sydney, New South Wales, Australia.
Three-dimensional (3D) in vitro models enable us to understand cell behavior that is a better reflection of what occurs in vivo than 2D in vitro models. As a result, developing 3D models for extracellular matrix (ECM) has been growing exponentially. Most of the efforts for these 3D models are geared toward understanding cancer cells.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!