During October 2017 to October 2018, 316 therapeutic ERCPs involving naïve papilla were conducted at our hospital. Thirty cases were excluded for the following reasons. Five cases received pancreatic therapy (duct of interest was the pancreatic duct). Two papillae could not be found during the whole procedure, possibly because they were ectopic or obscure papillae. Three papillae were papilla tumors. Seven papillae were hidden in type 1 PAD. Five papillae could not be classified due to duodenal mucosa swelling, deformity, or ulcer on the surface of papilla. Seven cases had surgically altered anatomy. One case had anomalous pancreaticobiliary ductal union, which made cannulation difficult, and was thus excluded from the analysis. A total of 286 ERCPs were included in the final analysis. The Interobserver agreement was moderate to substantial (κ = 0.60, 95% confidence interval= 0.56–0.64) according our interobserver agreement evaluation. The demographic data of all patients are presented in Table 1. The mean age of the patients was 64 years old and 52.45% were male. The most common indications for ERCP were bile duct stones 73.08%, while 16.43% cases had malignancy-related bile duct obstruction. Among the malignant cases, 21 (44.68 % of all 47 malignant obstructions) had bile duct cancer. The remaining 26 (55.32%) cases had non-biliary cancers, such as pancreatic cancer and metastatic lymphadenopathy.
Table1 Demographic data of the patients
Total case
|
286
|
|
Age
|
64.00±16.53
|
|
Papilla Type
|
|
1
|
118
|
(41.26%)
|
2
|
25
|
(8.74%)
|
3
|
63
|
(22.03%)
|
4
|
80
|
(27.97%)
|
Gender
|
|
|
Female
|
136
|
(47.55%)
|
Male
|
150
|
(52.45%)
|
Indications
|
|
|
Stone
|
209
|
(73.08%)
|
Cancer
|
47
|
(16.43%)
|
Other
|
30
|
(10.49%)
|
Diabetes
|
76
|
(26.57%)
|
Hypertension
|
130
|
(45.45%)
|
CVA
|
19
|
(6.64%)
|
CRI
|
28
|
(9.79%)
|
COPD
|
9
|
(3.15%)
|
CAD
|
18
|
(6.29%)
|
Cirrhosis
|
14
|
(4.90%)
|
Pre-Cut
|
31
|
(10.84%)
|
Failed cannulation
|
17
|
(5.94%)
|
PAD
|
|
|
0
|
166
|
(58.04%)
|
2
|
34
|
(11.89%)
|
3
|
86
|
(30.07%)
|
|
CVA: Cerebral vascular disease; CRI: Chronic renal insufficiency; COPD: Chronic obstructive pulmonary disease; CAD: Coronary artery disease; PAD: periampullary diverticulum
Most of the papillae were type 1 (41.26%). Type 2 papilla was less common (8.74%). The overall cannulation success rate was 94.06%. In 31 patients (10.84%), precut was performed due to difficult cannulation. The complications rates were 0.7% for perforation, 6.64% for PEP, 4.2% for bleeding, and 1.75% for cholangitis. (Table 2)
Table 2 Complications of ERCP
Perforation
|
2
|
(0.70%)
|
Pancreatitis
|
19
|
(6.64%)
|
Bleeding
|
12
|
(4.20%)
|
Cholangitis
|
5
|
(1.75%)
|
Age and gender were not different in the four types of papillae (Table 3). The indications for ERCPs did not differ among the four papillae types. The patients with Type 1 papilla had the lowest prevalence of hypertension (36.44%). There were no significant differences in comorbidities, including diabetes, cardiovascular diseases, chronic renal diseases, chronic obstructive pulmonary disease, coronary artery disease, and cirrhosis among the different papilla types.
Table 3 Comparison between four papilla types
Papilla Type
|
1 (n=118)
|
2 (n=25)
|
3 (n=63)
|
4 (n=80)
|
p value
|
Age
|
63
|
(50.5-74)
|
65
|
(58-78)
|
68
|
(55-77)
|
67
|
(57.25-75)
|
0.213
|
Gender-Male
|
66
|
(55.93%)
|
11
|
(44.00%)
|
31
|
(49.21%)
|
42
|
(52.50%)
|
0.670
|
Indication
|
|
|
|
|
|
|
|
|
0.589
|
Stone
|
87
|
(73.73%)
|
16
|
(64.00%)
|
49
|
(77.78%)
|
57
|
(71.25%)
|
|
Cancer
|
21
|
(17.80%)
|
4
|
(16.00%)
|
7
|
(11.11%)
|
15
|
(18.75%)
|
|
Other
|
10
|
(8.47%)
|
5
|
(20.00%)
|
7
|
(11.11%)
|
8
|
(10.00%)
|
|
Diabetes
|
27
|
(22.88%)
|
6
|
(24.00%)
|
21
|
(33.33%)
|
22
|
(27.50%)
|
0.490
|
Hypertension
|
43
|
(36.44%)
|
11
|
(44.00%)
|
26
|
(41.27%)
|
50
|
(62.50%)
|
0.003**
|
CVA
|
8
|
(6.78%)
|
2
|
(8.00%)
|
3
|
(4.76%)
|
6
|
(7.50%)
|
0.912
|
CRI
|
13
|
(11.02%)
|
2
|
(8.00%)
|
6
|
(9.52%)
|
7
|
(8.75%)
|
0.941
|
COPD
|
3
|
(2.54%)
|
0
|
(0.00%)
|
5
|
(7.94%)
|
1
|
(1.25%)
|
0.084
|
CAD
|
8
|
(6.78%)
|
2
|
(8.00%)
|
3
|
(4.76%)
|
5
|
(6.25%)
|
0.936
|
Cirrhosis
|
6
|
(5.08%)
|
2
|
(8.00%)
|
3
|
(4.76%)
|
3
|
(3.75%)
|
0.860
|
Pre-cut
|
8
|
(6.78%)
|
5
|
(20.00%)
|
10
|
(15.87%)
|
8
|
(10.00%)
|
0.117
|
Fail cannulation
|
2
|
(1.69%)
|
3
|
(12.00%)
|
7
|
(11.11%)
|
5
|
(6.25%)
|
0.037*
|
Pancreatic
wire passage >2
|
19
|
(16.10%)
|
8
|
(32.00%)
|
15
|
(23.81%)
|
22
|
(27.50%)
|
0.152
|
Pancreatic wire passage time
|
0
|
(0-1)
|
0
|
(0-1)
|
1
|
(0-2)
|
1
|
(0-3)
|
0.036*
|
Cannulation time
|
|
|
|
|
|
|
|
|
0.001**
|
0-5 minutes
|
67
|
(56.78%)
|
8
|
(32.00%)
|
19
|
(30.16%)
|
29
|
(36.25%)
|
|
5-10 minutes
|
31
|
(26.27%)
|
4
|
(16.00%)
|
21
|
(33.33%)
|
23
|
(28.75%)
|
|
>=10 minutes
|
20
|
(16.95%)
|
13
|
(52.00%)
|
23
|
(36.51%)
|
28
|
(35.00%)
|
|
PAD Type
|
|
|
|
|
|
|
|
|
0.128
|
0
|
65
|
(55.08%)
|
13
|
(52.00%)
|
42
|
(66.67%)
|
46
|
(57.50%)
|
|
2
|
12
|
(10.17%)
|
7
|
(28.00%)
|
5
|
(7.94%)
|
10
|
(12.50%)
|
|
3
|
41
|
(34.75%)
|
5
|
(20.00%)
|
16
|
(25.40%)
|
24
|
(30.00%)
|
|
Biopsy
|
14
|
(11.86%)
|
2
|
(8.00%)
|
8
|
(12.70%)
|
9
|
(11.25%)
|
0.938
|
Sphincterotomy
|
99
|
(83.90%)
|
22
|
(88.00%)
|
56
|
(88.89%)
|
72
|
(90.00%)
|
0.600
|
ERBD
|
39
|
(33.05%)
|
9
|
(36.00%)
|
15
|
(23.81%)
|
23
|
(28.75%)
|
0.540
|
ERPD
|
6
|
(5.08%)
|
2
|
(8.00%)
|
5
|
(7.94%)
|
5
|
(6.25%)
|
0.872
|
Stone extraction
|
75
|
(63.56%)
|
14
|
(56.00%)
|
41
|
(65.08%)
|
49
|
(61.25%)
|
0.864
|
Lithotripsy
|
2
|
(1.69%)
|
1
|
(4.00%)
|
2
|
(3.17%)
|
2
|
(2.50%)
|
0.880
|
EPBD
|
2
|
(1.69%)
|
3
|
(12.00%)
|
0
|
(0.00%)
|
1
|
(1.25%)
|
0.003**
|
Platelet
|
230
|
(169.75-297.75)
|
201
|
(155.5-310)
|
197
|
(146-276)
|
211
|
(152.5-281.75)
|
0.426
|
PT
|
10
|
(10-11)
|
10
|
(9.8-10.7)
|
10
|
(10-11.1)
|
10
|
(10-10.9)
|
0.502
|
APTT
|
28
|
(26.2-29.93)
|
27
|
(25.63-29.85)
|
28
|
(26.4-30.35)
|
28
|
(26.5-29.55)
|
0.961
|
AST
|
116
|
(47-227)
|
53
|
(22.5-150.25)
|
105
|
(46.75-205)
|
104
|
(42.5-238)
|
0.205
|
ALT
|
140
|
(48-312.5)
|
50
|
(21.5-125.5)
|
125
|
(55-265)
|
114
|
(44.5-309.75)
|
0.022*
|
Bilirubin
|
3
|
(1.38-6.13)
|
4
|
(0.45-5.1)
|
4
|
(1.5-6.1)
|
3
|
(1-5.08)
|
0.503
|
Creatinine
|
1
|
(0.67-0.97)
|
1
|
(0.56-1.27)
|
1
|
(0.66-1.06)
|
1
|
(0.68-1.02)
|
0.970
|
Complications
|
|
|
|
|
|
|
|
|
|
Perforation
|
1
|
(0.85%)
|
1
|
(4.00%)
|
0
|
(0.00%)
|
0
|
(0.00%)
|
0.174
|
Pancreatitis
|
8
|
(6.78%)
|
5
|
(20.00%)
|
1
|
(1.59%)
|
5
|
(6.25%)
|
0.020*
|
Bleeding
|
6
|
(5.08%)
|
2
|
(8.00%)
|
1
|
(1.59%)
|
3
|
(3.75%)
|
0.525
|
Cholangitis
|
3
|
(2.54%)
|
0
|
(0.00%)
|
0
|
(0.00%)
|
2
|
(2.50%)
|
0.520
|
Kruskal-Wallis test. Chi-Square test.*p<0.05, **p<0.01.
|
Continuous data were expressed as median and IQR.
|
Categorical data were expressed as number and percentage.
|
CVA: Cerebral vascular disease; CRI: Chronic renal insufficiency; COPD: Chronic obstructive pulmonary disease; CAD: Coronary artery disease; ERBD: Endoscopic retrograde biliary drainage;
ERPD: Endoscopic retrograde pancreatic drainage; EPBD: endoscopic papilla balloon dilatation; PT: Prothrombin Time; APTT: Activated Partial Thromboplastin Time; AST: Aspartate transaminase; ALT: Alanine transaminase; PAD: periampullary diverticulum
Compared to other types of papillae, Type 1 papilla required significantly less time for cannulation (56.78% of the cases could be cannulated within 5 minutes) and had the lowest cannulation failure rate (1.69%). Type 2 papilla required more time for cannulation (52% of the cases needed at least 10 minutes) and had a cannulation failure rate of 12%. (Table 3) The failure rates for Type 3 papilla and Type 4 were 11.11% and 6.25%, respectively. (Table 3).
For the four types of papilla, there were similar percentages of therapeutic procedures performed, which included biopsy, sphincterotomy, biliary stenting, pancreatic stenting, stone extraction, and lithotripsy. However, endoscopic balloon papilla dilatation was used more often in the Type 2 papilla group (12%, p= 0.003).
The rates of complications, such as perforation, bleeding, and cholangitis, among the papilla types were similar (Table 3). Type 2 papilla had a higher percentage of PEP compared to the other types of papilla (Type 1, 6.78%; Type 2, 20.00%; Type 3, 1.59%; Type 4, 6.25%; p=0.020). However, in the multivariate analysis, we did not find any risk factor (including papilla type) for any of the complications or for complications overall (data not shown).
The comparison between cannulation success and failure were shown in Table 4. There was significant difference in the papilla type and age between the success and failure group. (p=0.037 and 0.010, respectively). There was also marginal difference in the indications for ERCP between the success and failure group. (p=0.084) The risk factors for cannulation failure are shown in Table 5. In the univariate analysis, Type 2 or Type 3 papilla, cancer, and age were significant risk factors for cannulation failure. All of the above factors were also significant in the multivariable analysis. Cannulation was more difficult to perform for Type 2 papilla (odds ratio 7.18, p= 0.045) and type 3 papilla (odd ratio 7.44, p= 0.016) than for Type 1 papilla. Malignancy-related obstruction was also a greater risk factor for cannulation failure compared to stone. (odds ratio 4.45, p=0.014). Age was another risk factor for cannulation failure (odds ratio=1.06, p=0.010)
Table 4 Comparison between cannulation success and failure
Cannulation failure
|
No (n=269)
|
Yes (n=17)
|
p value
|
Papilla type
|
|
|
|
|
0.037*
|
1
|
116
|
(43.12%)
|
2
|
(11.76%)
|
|
2
|
22
|
(8.18%)
|
3
|
(17.65%)
|
|
3
|
56
|
(20.82%)
|
7
|
(41.18%)
|
|
4
|
75
|
(27.88%)
|
5
|
(29.41%)
|
|
Age
|
65
|
(53-75)
|
71
|
(65.5-85.5)
|
0.010*
|
Gender-Male
|
142
|
(52.79%)
|
8
|
(47.06%)
|
0.835
|
Indication
|
|
|
|
|
0.084
|
Stone
|
200
|
(74.35%)
|
9
|
(52.94%)
|
|
Cancer
|
41
|
(15.24%)
|
6
|
(35.29%)
|
|
Other
|
28
|
(10.41%)
|
2
|
(11.76%)
|
|
Diabetes f
|
74
|
(27.51%)
|
2
|
(11.76%)
|
0.255
|
Hypertension
|
123
|
(45.72%)
|
7
|
(41.18%)
|
0.909
|
CVA f
|
16
|
(5.95%)
|
3
|
(17.65%)
|
0.093
|
CRI f
|
27
|
(10.04%)
|
1
|
(5.88%)
|
1.000
|
COPD f
|
7
|
(2.60%)
|
2
|
(11.76%)
|
0.094
|
CAD f
|
17
|
(6.32%)
|
1
|
(5.88%)
|
1.000
|
Cirrhosis f
|
14
|
(5.20%)
|
0
|
(0.00%)
|
1.000
|
PAD
|
|
|
|
|
|
0
|
153
|
(56.88%)
|
13
|
(76.47%)
|
0.215
|
2
|
32
|
(11.90%)
|
2
|
(11.76%)
|
|
3
|
84
|
(31.23%)
|
2
|
(11.76%)
|
|
Platelet
|
215
|
(163-287)
|
171
|
(123-269)
|
0.159
|
PT
|
10
|
(10-10.9)
|
11
|
(10.15-11.65)
|
0.103
|
APTT
|
28
|
(26.1-29.7)
|
30
|
(27.4-31.6)
|
0.058
|
GOT
|
105
|
(41.75-220.75)
|
110
|
(50.25-170.25)
|
0.837
|
GPT
|
122
|
(47-290.75)
|
85
|
(29-185.5)
|
0.190
|
Bilirubin
|
3
|
(1.2-5.85)
|
3
|
(1.3-8.5)
|
0.754
|
Creatinine
|
1
|
(0.67-1.02)
|
1
|
(0.8-1.32)
|
0.100
|
Mann-Whitney U test. Chi-Square test. fFisher's Exact test.*p<0.05, **p<0.01. Continuous data were expressed median and IQR. Categorical data were expressed number and percentage. CVA: Cerebral vascular disease; CRI: Chronic renal insufficiency; COPD: Chronic obstructive pulmonary disease; CAD: Coronary artery disease; PT: Prothrombin Time; APTT: Activated Partial Thromboplastin Time; AST: Aspartate transaminase; ALT: Alanine transaminase; PAD: periampullary diverticulum
Table 5 Risk factors for cannulation failure
|
Univariate analysis
|
Multivariable analysis
|
OR
|
(95% CI)
|
p value
|
OR
|
(95% CI)
|
p value
|
Papilla
|
|
|
|
|
|
|
|
1
|
ref.
|
ref.
|
2
|
7.91
|
(1.25-
|
50.12)
|
0.028*
|
7.18
|
(1.05-
|
49.19)
|
0.045*
|
3
|
7.25
|
(1.46-
|
36.04)
|
0.015*
|
7.44
|
(1.45-
|
38.28)
|
0.016*
|
4
|
3.87
|
(0.73-
|
20.44)
|
0.111
|
3.19
|
(0.58-
|
17.43)
|
0.181
|
PAD
|
|
|
|
|
|
|
|
|
0
|
ref.
|
|
|
|
|
2
|
0.74
|
(0.16-
|
3.42)
|
0.695
|
|
|
|
|
3
|
0.28
|
(0.06-
|
1.27)
|
0.099
|
|
|
|
|
Indication
|
|
|
|
|
|
|
|
|
Stone
|
ref.
|
ref.
|
Cancer
|
3.25
|
(1.10-
|
9.64)
|
0.033*
|
4.45
|
(1.35-
|
14.66)
|
0.014*
|
Other
|
1.59
|
(0.33-
|
7.72)
|
0.567
|
2.60
|
(0.47-
|
14.23)
|
0.271
|
Diabetes
|
0.35
|
(0.08-
|
1.57)
|
0.172
|
|
|
|
|
Hypertension
|
0.83
|
(0.31-
|
2.25)
|
0.715
|
|
|
|
|
CVA
|
3.39
|
(0.88-
|
13.01)
|
0.075
|
|
|
|
|
CRI
|
0.56
|
(0.07-
|
4.39)
|
0.581
|
|
|
|
|
COPD
|
4.99
|
(0.95-
|
26.13)
|
0.057
|
|
|
|
|
CAD
|
0.93
|
(0.12-
|
7.41)
|
0.943
|
|
|
|
|
Cirrhosis
|
0.00
|
(0.00-
|
|
0.999
|
|
|
|
|
Age
|
1.05
|
(1.01-
|
1.09)
|
0.010*
|
1.06
|
(1.01-
|
1.11)
|
0.010*
|
Gender-Male
|
0.79
|
(0.30-
|
2.12)
|
0.647
|
|
|
|
|
Platelet
|
1.00
|
(0.99-
|
1.00)
|
0.297
|
|
|
|
|
PT
|
1.29
|
(1.00-
|
1.66)
|
0.054
|
|
|
|
|
APTT
|
1.07
|
(0.99-
|
1.16)
|
0.083
|
|
|
|
|
AST
|
1.00
|
(1.00-
|
1.00)
|
0.429
|
|
|
|
|
ALT
|
1.00
|
(1.00-
|
1.00)
|
0.346
|
|
|
|
|
Bilirubin
|
1.03
|
(0.95-
|
1.12)
|
0.469
|
|
|
|
|
Creatinine
|
1.06
|
(0.59-
|
1.89)
|
0.851
|
|
|
|
|
Logistic regression. *p<0.05, **p<0.01.
CVA: Cerebral vascular disease; CRI: Chronic renal insufficiency; COPD: Chronic obstructive pulmonary disease; CAD: Coronary artery disease; PT: Prothrombin Time; APTT: Activated Partial Thromboplastin Time; AST: Aspartate transaminase; ALT: Alanine transaminase; PAD: periampullary diverticulum