BACKGROUND: Prediction of primary non-response [PNR] to anti- @entity5 @entity39 factors [TNFs] in @entity29 [ @entity29 ] is direly needed to select the optimal therapeutic class for a given @entity1 . We developed a matrix-based prediction tool to predict response to infliximab [IFX] in @entity30 [ @entity30 ] @entity1 . METHODS: This retrospective single-centre study included 201 anti- @entity310 na  ve @entity30 @entity1 who started with IFX induction therapy. PNR occurred in 16 [8%] @entity1 . Clinical, biological [including serum @entity310 and the @entity29 serology 6 panel and genetic [the 163 validated @entity29 risk loci] markers were collected before start. Based on the best fitted regression model, probabilities of primary response to IFX were calculated and arranged in a prediction matrix tool. RESULTS: Multiple logistic regression withheld three final independent predictors [p < 0.05] for PNR: age at first IFX, {odds ratio (OR) (95% confidence interval [CI] of 1.1 (1.0-1.1)}, body mass index [BMI] (0.86 [0.7-1.0]), and previous surgery (4.4 [1.2-16.5]). The accuracy of this prediction model did not improve when the genetic markers were added (area under the curve [AUC] from 0.80 [0.67-0.93] to 0.78 [0.65-0.91]). The predicted probabilities for PNR to IFX increased from 1% to 53% depending on the combination of final predictors. CONCLUSIONS: Readily available clinical factors [age at first IFX, BMI, and previous surgery] outperform serological and @entity29 risk loci in prediction of primary response to infliximab in this real-life cohort of @entity30 @entity1 . This matrix tool could be useful for guiding physicians and may avoid unnecessary or inappropriate exposure to IFX in @entity29 @entity1 unlikely to benefit.

A Matrix-based Model Predicts Primary Response to Infliximab in XXXX .

@entity1 :: ('9606', 'Species') :: ['patients', 'patient'] @entity39 :: ('MESH:D009336', 'Disease') :: ['necrosis'] @entity5 :: ('MESH:D009369', 'Disease') :: ['tumour'] @entity310 :: ('7124', 'Gene') :: ['TNF'] @entity29 :: ('MESH:D015212', 'Disease') :: ['inflammatory bowel disease', 'IBD'] @entity30 :: ('MESH:D003424', 'Disease') :: ['CD', "Crohn's disease"]
@entity30 :: (MESH:D003424,Disease) :: ['Crohn's Disease']
