Cytokeratin-18 and enhanced liver fibrosis scores in type 1 and type 2 diabetes and effects of two different insulins

Reference interval for type III procollagen (PIIINP) using the Advia centaur PIIINP assay in adults and elderly

OBJECTIVE

The amino-terminal peptide of type III procollagen (PIIINP) is a byproduct of type III collagen synthesis that exhibits promise as a biomarker of fibrosis, specifically in monitoring hepatic fibrosis in methotrexate treated patients. The Advia Centaur^® PIIINP assay is developed for track-based automated laboratory systems and is suitable for large volume analysis. Reference intervals in children and younger adults have been published previously. Here we measured PIIINP to determine reference ranges, specifically including elderly patients, for whom such are currently lacking.

METHODS

Samples were collected from subjects ranging from 20 to 98 years of age. Blood donors and clinical samples from primary care patients were used for reference interval calculation. Samples were analysed using the Advia Centaur^® PIIINP assay. After exclusion of samples high in alanine transaminase (AST), aspartate transaminase (ALT), and C-reactive protein (CRP) 386 samples were used in the reference interval calculation.

RESULTS AND CONCLUSION

We determined the following reference interval for the Advia Centaur^® PIIINP assay: the lower limit of the reference interval (2.5% percentile with 95% CI) was 4.42 (4.20-4.65) µg/L and the upper limit of the reference interval (97.5% percentile 95% CI) 16.0 (15.04-17.02) µg/L.No significant differences in mean PIIINP concentrations were found between men and women. While differing mean PIIINP concentrations were seen among subjects in different age groups, the differences were small and partitioning of reference range was determined not to be necessary.

Cytokeratin 18 can help predict liver fibrosis in HCV infected patients with type 2 diabetes mellitus

BACKGROUND

To investigate the predictive values of cytokeratin 18 for liver fibrosis in hepatitis C virus (HCV) infected patients with type 2 diabetes mellitus (T2DM).

METHODS

252 HCV-infected patients with T2DM between January 2012 and August 2017 were retrospectively reviewed. Pearson/spearman correlation analysis was used to detect the correlation in the entire cohort. Multivariate linear regression was used to identify independent predictors and logistic regression was for establishing models. Combination models that incorporated CK18 and other methods (i.e. transient elastography, aspartate transaminase-to-platelet ratio index (APRI) and fibrosis-4 index (FIB-4)] were developed in a training cohort of 132 patients. Performance of models was evaluated through discrimination ability and clinical benefits. An internal validation was conducted in 120 consecutive patients.

RESULTS

CK18 was found significantly associated with fibrosis scores (r = 0.452, P < .001). CK18 and albumin were confirmed as independent predictors for fibrosis. For predicting significant fibrosis in the validation cohort, the observed AUC values of APRI + CK18 (AUC 0.83) and FIB-4 + CK18 (AUC 0.84) were higher than those of APRI (AUC 0.61) and FIB-4 (AUC 0.65). For predicting advanced fibrosis and cirrhosis, the AUC values of FIB-4 + CK18 (AUC 0.74 and 0.77, respectively) were significantly higher than those of FIB-4 (AUC 0.61 of both). Decision curve analysis confirmed the more clinical benefits can be provided by being combined with CK18.

CONCLUSIONS

CK18 is an independent predictor of liver fibrosis for HCV-infected patients with T2DM. Noninvasive methods incorporate CK18 and other biomarker indices can have better performance for diagnosing fibrosis and help clinical decision-making.