| Literature DB >> 24375491 |
Kirsten Boonstra1, Emma L Culver, Lucas Maillette de Buy Wenniger, Marianne J van Heerde, Karel J van Erpecum, Alexander C Poen, Karin M J van Nieuwkerk, B W Marcel Spanier, Ben J M Witteman, Hans A R E Tuynman, Nan van Geloven, Henk van Buuren, Roger W Chapman, Eleanor Barnes, Ulrich Beuers, Cyriel Y Ponsioen.
Abstract
UNLABELLED: The recent addition of immunoglobulin (Ig)G4-associated cholangitis (IAC), also called IgG4-related sclerosing cholangitis (IRSC), to the spectrum of chronic cholangiopathies has created the clinical need for reliable methods to discriminate between IAC and the more common cholestatic entities, primary (PSC) and secondary sclerosing cholangitis. The current American Association for the Study of Liver Diseases practice guidelines for PSC advise on the measurement of specific Ig (sIg)G4 in PSC patients, but interpretation of elevated sIgG4 levels remains unclear. We aimed to provide an algorithm to distinguish IAC from PSC using sIgG analyses. We measured total IgG and IgG subclasses in serum samples of IAC (n = 73) and PSC (n = 310) patients, as well as in serum samples of disease controls (primary biliary cirrhosis; n = 22). sIgG4 levels were elevated above the upper limit of normal (ULN = >1.4 g/L) in 45 PSC patients (15%; 95% confidence interval [CI]: 11-19). The highest specificity and positive predictive value (PPV; 100%) for IAC were reached when applying the 4 × ULN (sIgG4 > 5.6 g/L) cutoff with a sensitivity of 42% (95% CI: 31-55). However, in patients with a sIgG4 between 1 × and 2 × ULN (n = 38/45), the PPV of sIgG4 for IAC was only 28%. In this subgroup, the sIgG4/sIgG1 ratio cutoff of 0.24 yielded a sensitivity of 80% (95% CI: 51-95), a specificity of 74% (95% CI: 57-86), a PPV of 55% (95% CI: 33-75), and a negative predictive value of 90% (95% CI: 73-97).Entities:
Mesh:
Substances:
Year: 2014 PMID: 24375491 PMCID: PMC4489327 DOI: 10.1002/hep.26977
Source DB: PubMed Journal: Hepatology ISSN: 0270-9139 Impact factor: 17.425
Fig. 1HISORt diagnostic criteria (histology, imaging, serology, other organ involvement, and response to therapy) for IgG4-associated cholangitis (IAC). Adapted from Ghazale et al.,7 Alderlieste et al.,15 and Maillette de Buy Wenniger et al.16
Demographics and Serum Total IgG and IgG Subclasses of PSC and IAC Patients and PBC controls
| Variable | PSC | IAC | PBC | |
|---|---|---|---|---|
| No. | 310 | 73 | 22 | |
| Male, n (%) | 170 (55) | 62 (85) | <0.001 | 0 (0) |
| Age at diagnosis, years (mean [SD]) | 44.0 (16.2) | 62.5 (14.1) | <0.001 | 49.5 (11.5) |
| Age at blood sampling, years (mean [SD]) | 51.2 (16.5) | 64.1 (12.9) | <0.001 | 60.0 (9.5) |
| IBD, n (%) | 180 (58) | 6 (8) | <0.001 | 0 (0) |
| Total IgG, g/L (mean [SD]) | 13.5 (4.1) | 17.0 (8.3) | 0.001 | 13.5 (4.7) |
| IgG1, g/L (mean [SD]) | 9.1 (3.5) | 9.6 (5.0) | 0.490 | 9.1 (3.2) |
| IgG2, g/L (mean [SD]) | 3.5 (1.6) | 4.5 (2.1) | <0.001 | 4.0 (1.9) |
| IgG3, g/L (median [IQR]) | 0.4 (0.3-0.6) | 0.4 (0.3-0.7) | 0.288 | 1.2 (0.7-1.6) |
| IgG4, g/L (median [IQR]) | 0.5 (0.3-1.0) | 4.6 (2.2-11.1) | <0.001 | 0.3 (0.2-0.5) |
| IgG4 >1.40 g/L, n (%) | 45 (15) | 66 (90) | <0.001 | 0 (0) |
| IgG4 >2.80 g/L, n (%) | 7 (2) | 51 (70) | <0.001 | 0 (0) |
| IgG4 >5.60 g/L, n (%) | 0 (0) | 31 (42) | <0.001 | 0 (0) |
Based on 64 IAC patients.
Fig. 2Scatterplot of sIgG4 in PSC, IAC, and PBC patients. Lower limit of normal (LLN)−1×, 1×-2×, 2×-4x, and >4x ULN are marked with different shades of gray. The bar across each column represents the median value. Statistic bars represent PSC versus PBC, PSC versus IAC, and IAC versus PBC comparisons by Mann-Whitney's U test.
Performance of Serum IgG4 in Distinguishing IAC from PSC
| IgG4 >1.4 g/L | IgG4 >2.8 g/L | IgG4 >5.6 g/L | IgG4 >2.5 g/L Test (NL) Cohort | IgG4 >2.5 g/L Validation (UK) Cohort | New Algorithm ( | |
|---|---|---|---|---|---|---|
| Sensitivity, % (95% CI) | 90 (81-96) | 70 (58-80) | 42 (31-55) | 89 (70-97) | 67 (52-80) | 86 (76-93) |
| Specificity, % (95% CI) | 85 (81-89) | 98 (95-99) | 100 (98-100) | 95 (89-98) | 95 (90-98) | 95 (91-97) |
| PPV, % (95% CI) | 59 (50-69) | 88 (76-95) | 100 (86-100) | 77 (58-90) | 78 (61-89) | 79 (68-87) |
| NPV, % (95% CI) | 97 (95-99) | 93 (90-96) | 88 (84-91) | 98 (93-99) | 92 (87-95) | 97 (94-98) |
Fig. 3ROC curves of sIgG4 for diagnosis of IAC versus PSC patients in the test (A) and validation cohorts (B). Arrows are pointing toward the ULN of sIgG4 (1.4 g/L) and the optimal cut-off value (2.5 g/L).
Serum IgG4/Subclass Ratio Analysis
| Subclass Ratio | PSC | IAC | AUROC (95% CI) | |
|---|---|---|---|---|
| IgG4/IgG1, median (IQR) | 0.21 (0.15-0.28) | 0.61 (0.32-1.17) | <0.001 | 0.887 (0.828-0.946) |
| IgG4/IgG2, median (IQR) | 0.51 (0.41-0.51) | 1.10 (0.68-2.13) | <0.001 | 0.859 (0.788-0.931) |
| IgG4/IgG3, median (IQR) | 4.46 (2.79-6.74) | 10.14 (6.64-20.82) | <0.001 | 0.832 (0.752-0.913) |
Fig. 4Scatterplot of sIgG4/sIgG1 in PSC and IAC patients with a sIgG4 between 1.4 and 2.8 g/L. The ratio cut-off value of 0.24 is shown as a dotted line. The bar across each column represents the median value.
Fig. 5Proposed algorithm for distinguishing IAC from PSC using sIgG4 and sIgG4/sIgG1 ratio analysis.