| Literature DB >> 32349627 |
Miroslav Vujasinovic1, Pia Maier1, Hartwig Maetzel1, Roberto Valente1, Raffaella Pozzi-Mucelli2, Carlos F Moro3, Stephan L Haas1, Karouk Said1, Caroline S Verbeke3,4, Patrick Maisonneuve5, J-Matthias Löhr1,6.
Abstract
BACKGROUND: Autoimmune pancreatitis is a special form of chronic pancreatitis with strong lymphocytic infiltration and two histopathological distinct subtypes, a lymphoplasmacytic sclerosing pancreatitis and idiopathic duct centric pancreatitis. Immunoglobulin G4-associated cholangitis may be present at the time of autoimmune pancreatitis type 1 diagnosis or occur later over the course of the disease. Immunoglobulin G4 is considered reliable but not an ideal marker for diagnosis of autoimmune pancreatitis type 1 with reported sensitivity between 71-81%. It is essential to differentiate sclerosing cholangitis with autoimmune pancreatitis from primary sclerosing cholangitis as the treatment and prognosis of the two diseases are totally different. It was the aim of the study to find a marker for immunoglobulin G4-associated cholangitis that would distinguish it from primary sclerosing cholangitis. PATIENTS AND METHODS: We performed a retrospective analysis of patients with autoimmune pancreatitis at our outpatient clinic. Patients from the primary sclerosing cholangitis registry were taken as a control group. Blood samples for the measurement of immunoglobulin subclasses were analysed at the time of diagnosis.Entities:
Keywords: Autoimmune pancreatitis; immunoglobulin G1; immunoglobulin G2; immunoglobulin G4-associated cholangiatis; primary sclerosing cholangiatis
Mesh:
Substances:
Year: 2020 PMID: 32349627 PMCID: PMC7268946 DOI: 10.1177/2050640620916027
Source DB: PubMed Journal: United European Gastroenterol J ISSN: 2050-6406 Impact factor: 4.623
Characteristics of patients with primary sclerosing cholangitis (PSC), autoimmune pancreatitis (AIP) and immunoglobulin G4 (IgG4)-associated cholangitis (IAC).
| PSC | AIP | AIP without IAC | AIP with IAC | |||
|---|---|---|---|---|---|---|
| All | 73 (100) | 69 (100) | 14 (100) | 55 (100) | ||
| Sex | ||||||
| Males | 51 (69.9) | 38 (55.1) | 4 (28.6) | 34 (61.8) | ||
| Females | 22 (30.1) | 31 (44.9) | 0.08 | 10 (71.4) | 21 (38.2) | 0.04 |
| Age | ||||||
| <40 | 33 (45.2) | 17 (24.6) | 4 (28.6) | 13 (23.6) | ||
| 40–49 | 16 (21.9) | 12 (17.4) | 5 (35.7) | 7 (12.7) | ||
| 50–59 | 7 ( 9.6) | 7 (10.1) | 1 (7.1) | 6 (10.9) | ||
| 60–69 | 16 (21.9) | 19 (27.5) | 2 (14.3) | 17 (30.9) | ||
| 70+ | 1 (1.4) | 14 (20.3) | 0.001 | 2 (14.3) | 12 (21.8) | 0.33 |
| IgG2 | ||||||
| Mean ± SD (g/l) | 3.3 ± 1.2 | 5.1 ± 2.4 | 4.6 ± 2.0 | 5.2 ± 2.4 | ||
| Median (range) (g/l) | 3.3 (0.8–6.1) | 4.5 (1.7–13.1) | <0.0001 | 4.6 (1.7–8.6) | 4.5 (1.9–13.1) | 0.57 |
| Low (<1.15 g/l) | 1 | 0 | 0 | 0 | ||
| Normal (1.15–5.7 g/l) | 70 | 46 | 11 | 35 | ||
| High (>5.7 g/l) | 2 | 21 | <0.0001 | 3 | 18 | 0.52 |
| Sensitivity | 21/67 | 31% (21–44) | 18/53 | 34% (22–48) | ||
| Specificity | 71/73 | 97% (90–100) | 11/14 | 79% (49–95) | ||
| Positive predictive value | 21/23 | 91% (72–99) | 18/21 | 86% (64–97) | ||
| Negative predictive value | 71/117 | 61% (51–70) | 11/46 | 24% (14–38) | ||
| IgG4 | ||||||
| Mean ± SD (g/l) | 0.4 ± 0.4 | 2.0 ± 3.9 | 1.2 ± 1.2 | 2.2 ± 4.3 | ||
| Median (range) (g/l) | 0.4 (0.0–1.6) | 0.9 (0.1–26.2) | <0.0001 | 0.8 (0.2–4.5) | 0.9 (0.1–26.2) | 0.76 |
| Low (<0.05 g/l) | 8 (11.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | ||
| Normal (0.05–1.25 g/l) | 62 (84.9) | 39 (56.5) | 9 (64.3) | 30 (54.5) | ||
| High (>1.25 g/l) | 3 (4.1) | 30 (43.5) | <0.0001 | 5 (35.7) | 25 (45.5) | 0.56 |
| IgG2 and IgG4 | ||||||
| Low or normal IgG2 and IgG4 | 68 | 30 | 8 | 22 | ||
| High IgG2 or high IgG4 | 5 | 39[ | <0.0001 | 6 | 33 | 0.37 |
| Sensitivity | 39/69 | 57% (44–68) | 33/55 | 60% (46–73) | ||
| Specificity | 68/73 | 93% (85–98) | 8/14 | 57% (29–82) | ||
| Positive predictive value | 39/44 | 89% (75–96) | 33/39 | 85% (69–94) | ||
| Negative predictive value | 68/98 | 69% (59–78) | 8/30 | 27% (12–46) |
Ig: immunoglobulin; SD: standard deviation.
95% Confidence intervals for the sensitivity, specificity, positive predictive value and negative predictive value calculated using the Binomial (Clopper-Pearson) exact method. No differences in the distribution of IgG, IgG1 and IgG3 between groups were found (see Supplementary Material Table 1).
ap-Value calculated with the non-parametric Wilcoxon test for continuous variables and the Fisher exact test for categorical variables.
b18 patients had normal IgG2 and High IgG4, 9 patients had High IgG2 and normal IgG4, 12 patients had High IgG2 and High IgG4.
Figure 1.(a) Distribution of total immunoglobulin (Ig)G and single IgG subclasses in patients with autoimmune pancreatitis (AIP) and no IgG4-associated cholangitis (IAC), in patients with AIP and IAC, and in patients with primary sclerosing cholangitis (PSC) is shown using box and whisker plots. The box spans the interquartile range (25% and 75% percentiles). A circle and a vertical line inside the box mark the mean and median respectively. The whiskers are the two lines outside the box that extend to the highest and lowest observations. If any, outliers’ values (±3 standard deviations) are represented by circles above or below the whiskers. (b) Diagnostic performance of total IgG and of the various IgG subclasses for the distinction between AIP and PSC was assessed using receiver-operating characteristic (ROC) curve analysis, and accuracy was measured by the area under the curve (AUC). Accuracy is considered ‘excellent’ when AUC is comprised between 0.90–1.0,’ good’ when AUC is comprised between 0.8–0.9, ‘fair’ when AUC is comprised between 0.7–0.8, ‘poor’ when AUC is comprised between 0.6–0.7.
Characteristics of the 98 patients with low or normal immunoglobulin (Ig)G2 and IgG4.
| PSC | AIP | AIP and no IAC | AIP and IAC | |||
|---|---|---|---|---|---|---|
| All | 68 (100) | 30 (100) | 8 (100) | 22 (100) | ||
| Sex | ||||||
| Males | 47 (69.1) | 11 (36.7) | 2 (25.0) | 9 (40.9) | ||
| Females | 21 (30.9) | 19 (63.3) |
| 6 (75.0) | 13 (59.1) | 0.67 |
| Age | ||||||
| <40 | 32 (47.1) | 13 (43.3) | 2 (25.0) | 11 (50.0) | ||
| 40–49 | 14 (20.6) | 5 (16.7) | 2 (25.0) | 3 (13.6) | ||
| 50–59 | 6 ( 8.8) | 3 (20.0) | 1 (12.5) | 2 (9.1) | ||
| 60–69 | 15 (22.1) | 5 (16.7) | 2 (25.0) | 3 (13.6) | ||
| 70+ | 1 (1.5) | 4 (13.3) | 0.22 | 1 (12.5) | 3 (13.6) | 0.72 |
| IgG | ||||||
| Mean ± SD (g/l) | 13.6 ± 3.4 | 11.7 ± 3.6 | 10.6 ± 4.5 | 12.1 ± 3.2 | ||
| Median (range) | 13.2 (7.0–25.8) | 11.4 (0.3–20.3) |
| 11.8 (0.3–16.0) | 11.0 (8.6–20.3) | 1.00 |
| Low (<6.1 g/l) | 0 (0.0) | 1 (3.3) | 1 (12.5) | 0 (0.0) | ||
| Normal (6.1–14.5 g/l) | 45 (66.2) | 24 (80.0) | 6 (75.0) | 18 (81.8) | ||
| High (>14.5 g/l) | 23 (33.8) | 5 (16.7) | 0.08 | 1 (12.5) | 4 (18.2) | 0.35 |
| IgG1 | ||||||
| Mean ± SD (g/l) | 8.2 ± 2.6 | 6.7 ± 2.2 | 6.9 ± 1.7 | 6.7 ± 2.4 | ||
| Median (range) | 7.8 (3.5–17.0) | 6.3 (3.7–13.6) |
| 6.4 (4.2–9.6) | 6.2 (3.7–13.6) | 0.53 |
| Low (<2.8 g/l) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | ||
| Normal (2.8–8.0 g/l) | 35 (51.5) | 24 (80.0) | 6 (75.0) | 18 (81.2) | ||
| High (>8.0 g/l) | 33 (48.5) | 6 (20.0) |
| 2 (25.0) | 4 (18.2) | 0.65 |
| IgG3 | ||||||
| Mean ± SD (g/l) | 0.8 ± 0.5 | 0.8 ± 0.8 | 0.7 ± 0.3 | 0.8 ± 1.0 | ||
| Median (range) | 0.7 (0.2–3.4) | 0.6 (0.2–4.9) | 0.52 | 0.6 (0.3–1.2) | 0.6 (0.2–4.9) | 0.61 |
| Low (<0.24 g/l) | 3 (4.4) | 1 (3.3) | 0 (0.0) | 1 (4.5) | ||
| Normal (0.24–1.25 g/l) | 56 (82.4) | 27 (90.0) | 8 (100) | 19 (86.4) | ||
| High (>1.25 g/l) | 9 (13.2) | 2 ( 6.7) | 0.79 | 0 (0.0) | 2 (9.1) | 1.00 |
AIP: autoimmune pancreatitis; IAC: immune-associated cholangitis; PSC: primary sclerosing cholangitis; SD: standard deviation.
ap-Values calculated with the non-parametric test of median for continuous variables and the Fisher exact test for categorical variables.p-Value less than 0.05 was considered statistically significant and are in bold.
Figure 2.(a) Immunoglobulin (Ig)G4-associated cholangitis (IAC) with concentric wall thickening of the extrapancreatic common bile duct. Note the rim of adjacent pancreas (right) showing atrophy, fibrosis and peripancreatitis as a consequence of autoimmune pancreatitis (AIP) type 1 (hemotoxylin and eosin (H&E) 5x). (b) Marked thickening of the bile duct wall with transmural inflammatory cell infiltration (H&E, 10x). (c) High-power magnification reveals dense inflammatory cell infiltration with dominance of plasma cells and relatively modest fibrosis, findings that are in contrast with those typically found in primary sclerosing cholangitis (PSC) (H&E, 40x). (d) Immunohistochemical staining for IgG4 (brown) reveals prominent infiltration with IgG4+ plasma cells, also in deeper layers of the bile duct wall (10x).
Figure 3.Magnetic resonance imaging (MRI) of a patient with autoimmune pancreatitis (AIP) type 1 and other organ involvement (OOI). The T2-weighted axial image (a) and the venous phase (b) show a diffuse enlargement of the pancreas (also known as ’sausage pancreas’) (arrows). The maximum intensity projection (MIP) reformatted image of the magnetic resonance cholangiopancreatography (MRCP) sequence shows a long stricture of the main pancreatic duct (MPD) without upstream dilatation (arrowheads), and a stricture of the distal common bile duct (CBD) with upstream dilatation (dotted thin arrow). Furthermore, there are hypointense cortical lesions in the left kidney (a) (arrowheads) and worse contrast-enhancement in the renal parenchyma in the venous phase (b).
Figure 4.Patient with primary sclerosing cholangitis (PSC). The maximum intensity projection (MIP) reformatted images of the MRCP-sequences in the axial (a) and coronal plane (b) show multiple and short biliary strictures in several liver segments. The coronal image shows also a stricture of the distal common bile duct (CBD) (arrowheads).