Table 3.
Impact of normalization of serum zinc deficiency on clinical outcomes in IBD.
Hospitalization | Surgery | Complication | |||
---|---|---|---|---|---|
Crohn’s Disease (n=232) | |||||
OR (95% CI) | P value | OR (95% CI) | P value | OR (95% CI) | P value |
0.15 (0.07,0.33) | < 0.001 | 0.06(0.02,0.18) | 0.001 | 0.16(0.07,0.34) | 0.001 |
Ulcerative Colitis (n=74) | |||||
OR (95%CI) | P value | OR (95% CI) | P value | OR (95% CI) | P value |
0.21(0.07,0.69) | 0.01 | 0.41(0.13,1.31) | 0.1 | 0.19(0.05,0.67) | 0.01 |
Using a logistic regression model, development of at least one IBD-related hospitalization, IBD-related surgery, or IBD-related complication were compared in those that had normalization of zinc deficiency within 12 months of index zinc measurement to those that remained deficient. Odds ratios and p values for Crohn’s disease patients were calculated using a multivariable model controlling for covariates. For hospitalizations, the covariates included in the model were race, use of anti-TNF or immunomodulatory agent, categorical albumin level, and follow-up duration. For surgeries, the covariates included were race, use of anti-TNF medications, duration of disease, categorical albumin level, and follow-up duration. For Crohn’s-related complications, included factors in the model were race, use of anti-TNF medications, smoking, categorical albumin level, and follow-up duration. Odds ratios and p values for ulcerative colitis patients were calculated using a univariate logistic regression model given the few number of patients in the cohort who had correction of zinc deficiency (n=18).