Long-term outcomes of vedolizumab in inflammatory bowel disease: the Swedish prospective multicentre SVEAH extension study

Background

Real-world data on long-term outcomes of vedolizumab (VDZ) are scarce.

Objective

To assess long-term outcomes (up to 3 years) of VDZ in treating inflammatory bowel disease (IBD).

Design

A nationwide, prospective multicentre extension of a Swedish observational study on VDZ assessing Effectiveness And Healthcare resource utilization in patients with IBD (SVEAH).

Methods

After re-consent, data of patients with Crohn's disease (CD) (n = 68) and ulcerative colitis (UC) (n = 46) treated with VDZ were prospectively recorded using an electronic case report form integrated with the Swedish IBD Register (SWIBREG). The primary outcome was clinical remission (defined as Harvey-Bradshaw Index ⩽4 in CD and partial Mayo score ⩽2 in UC) at 104 and 156 weeks in patients with a response and/or remission 12 weeks after starting VDZ. Secondary outcomes included health-related quality of life (HRQoL) and biochemical outcomes.

Results

VDZ continuation rates were high at weeks 104 and 156, 88% and 84%, respectively, for CD and 87% and 78%, respectively, for UC. Of the 53 CD patients with a response/remission at 12 weeks, 40 (75%) patients were in remission at 104 weeks and 42 (79%) patients at 156 weeks. For UC, these numbers were 25/31 (81%) and 22/31 (71%), respectively. Improvements were seen in the Short Health Scale (p < 0.01 for each dimension; CD, n = 51; UC, n = 33) and the EuroQol 5-Dimensions, 5-levels index value (p < 0.01; CD, n = 39; UC, n = 30). Median plasma-C-reactive protein concentrations (mg/L) decreased from 5 at baseline to 4 in CD (p = 0.01, n = 53) and from 5 to 4 in UC (p = 0.03, n = 34) at 156 weeks. Correspondingly, median faecal-calprotectin (µg/g) decreased from 641 to 114 in CD patients (p < 0.01, n = 26) and from 387 to 37 in UC patients (p = 0.02, n = 17).

Conclusion

VDZ demonstrated high continuation rates and was associated with improvements in clinical outcomes, HRQoL measures and inflammatory markers at 2 and 3 years after treatment initiation in this prospective national SVEAH extension study.

Registration

ENCePP registration number: EUPAS22735.

Development of Serum Marker Models to Increase Diagnostic Accuracy of Advanced Fibrosis in Nonalcoholic Fatty Liver Disease: The New LINKI Algorithm Compared with Established Algorithms

Background and Aim

Detection of advanced fibrosis (F3-F4) in nonalcoholic fatty liver disease (NAFLD) is important for ascertaining prognosis. Serum markers have been proposed as alternatives to biopsy. We attempted to develop a novel algorithm for detection of advanced fibrosis based on a more efficient combination of serological markers and to compare this with established algorithms.

Methods

We included 158 patients with biopsy-proven NAFLD. Of these, 38 had advanced fibrosis. The following fibrosis algorithms were calculated: NAFLD fibrosis score, BARD, NIKEI, NASH-CRN regression score, APRI, FIB-4, King´s score, GUCI, Lok index, Forns score, and ELF. Study population was randomly divided in a training and a validation group. A multiple logistic regression analysis using bootstrapping methods was applied to the training group. Among many variables analyzed age, fasting glucose, hyaluronic acid and AST were included, and a model (LINKI-1) for predicting advanced fibrosis was created. Moreover, these variables were combined with platelet count in a mathematical way exaggerating the opposing effects, and alternative models (LINKI-2) were also created. Models were compared using area under the receiver operator characteristic curves (AUROC).

Results

Of established algorithms FIB-4 and King´s score had the best diagnostic accuracy with AUROCs 0.84 and 0.83, respectively. Higher accuracy was achieved with the novel LINKI algorithms. AUROCs in the total cohort for LINKI-1 was 0.91 and for LINKI-2 models 0.89.

Conclusion

The LINKI algorithms for detection of advanced fibrosis in NAFLD showed better accuracy than established algorithms and should be validated in further studies including larger cohorts.