*Patient characteristics
Forty-eight patients out of 94 had a positive hemoculture and 46 were negative (Fig. 1). The prevalence of species in a positive hemoculture and patient characteristics are shown in Table 1, 2, respectively. Mean age, body temperature, and heart rate were significantly higher in patients with a positive hemoculture than those with a negative hemoculture. Platelet count and serum amylase levels were also lower in patients with a positive hemoculture. The levels of inflammatory markers including as WBC, CRP, and PCT did not differ significantly in the two groups. Neut% was significantly higher in the positive hemoculture group (91.7±4.0% vs. 82.5±9.0%, P<0.0001). In the multivariate analysis (Odds ratio(OR) 1.52 [1.16–1.15], P=0.0030), Neut% was identified as the only factor that differed significantly in the two groups. Patients diagnosed with a positive hemoculture were more likely to have moderate or severe cholangitis than those with a negative hemoculture (35/48, 72.9% vs. 17/46, 37%, P=0.0004). Urgent or early biliary drainage was performed in more patients with positive hemoculture than with negative hemoculture (31/48, 64.6% vs. 17/46, 37%, P=0.0065). Bacteremia and subsequent high Neut% were considered to be associated with patient prognosis.
Table 1. Results of blood cultures in patients with acute cholangitis
Species
|
Positive
Hemoculture
(N=48)
|
Escherichia coli
|
22
|
Escherichia coli (ESBL)
|
2
|
Escherichia coli + Enterococcus avium
|
1
|
|
|
Escherichia coli + Pseudomonas aeruginosa
|
1
|
Klebsiella pneumoniae
|
9
|
Klebsiella pneumoniae + Enterococcus casseliflavus
|
1
|
Klebsiella pneumoniae + Streptococcus anginosus
|
1
|
Klebsiella Oxytoca
|
1
|
Klebsiella spp
|
1
|
Pseudomonas aeruginosa
|
3
|
Citrobacter SPP
|
1
|
Citorobacter braakii
|
1
|
Enterococcus casseliflavus
|
2
|
Streptococcus anginosus + Enterobacter aerogenes
|
1
|
Clostridium perfringens
|
1
|
Table 2. Characteristics at the time of initial diagnosis and outocomes according to the result of hemoculture
|
Positive hemoculture
|
Negative hemoculture
|
Univariate analysis
|
Multivariate analysis
|
|
(N=48)
|
(N=46)
|
P value
|
P value
|
|
|
|
HR(95%CI)
|
Characteristics
|
|
|
Age, years
|
81.5±10
|
74.5±13
|
<0.01
|
0.9210
1 (0.92-1.10)
|
|
|
Sex, male
|
22 (45.8%)
|
22 (47.8%)
|
0.51
|
|
|
|
Body
temperature (℃)
|
38.1±1.2
|
37.1±1.0
|
<0.0001
|
0.1478
2.0 (0.78-5.14)
|
|
|
Blood pressure (systolic) (mmHg)
|
123±27
|
130±28
|
0.25
|
|
|
|
Heart rate ( /min)
|
97±16
|
87±17
|
0.0004
|
0.7408
0.58 (0.36-0.94)
|
|
Cardiovascular dysfunction
|
3 (6.3%)
|
1 (1.7%)
|
0.32
|
|
|
Disturbance of consciousness
|
5 (10.4%)
|
0
|
0.31
|
|
|
Respiratory dysfunction
|
2 (4.2%)
|
0
|
0.26
|
|
|
Cause
|
|
|
|
|
|
benign
|
34 (70.8%)
|
37 (80.4%)
|
0.2
|
|
|
biliary stent
|
12 (25%)
|
8 (16.7%)
|
0.26
|
|
|
Comorbidities
|
|
|
|
|
|
Cerebrovascular disease
|
10 (20.8%)
|
5 (10.9%)
|
0.3
|
|
|
Heart failure or ischemic heart disease
|
10 (20.8%)
|
11 (23.9%)
|
0.46
|
|
|
Emphysema
or Interstitial pneumonia
|
3 (6.2%)
|
1 (2.2%)
|
0.32
|
|
|
Diabetes Mellitus
|
12 (25%)
|
7 (15.2%)
|
0.18
|
|
Laboratory test
|
|
|
WBC count ( ×103/μl )
|
116±64
|
100±52
|
0.17
|
|
|
|
Hemoglobinb (g/dl)
|
12.2±2.1
|
11.9±2.1
|
0.52
|
|
|
|
Platelet count (×104/ μl)
|
15.8±6.3
|
20.4±7.5
|
0.0019
|
0.9049
0.99 (0.84-1.17)
|
|
|
Neut %
|
91.7±4.0
|
82.5±9.0
|
<0.0001
|
0.0030
1.52 (1.16-1.15)
|
|
|
Lymph %
|
5.0±2.9
|
11.3±7.3
|
<0.0001
|
|
|
Mono %
|
2.7±1.8
|
4.9±2.7
|
<0.0001
|
|
|
Albumin (g/dl)
|
3.5±0.6
|
3.7±0.6
|
0.045
|
0.9992
1.00 (0.20-5.09)
|
|
AST (IU/l)
|
283±276
|
235±286
|
0.41
|
|
|
ALT (IU/l)
|
197±196
|
196±271
|
0.98
|
|
|
ALP (IU/l)
|
908±551
|
929±646
|
0.87
|
|
|
Total bilirubin (mg/dl)
|
2.8±1.6
|
4.3±5.9
|
0.08
|
|
|
Amylase (IU/l)
|
70±42
|
101±83
|
0.026
|
0.7754
1.00 (0.99-1.02)
|
|
Blood urea nitrogen (mg/dl)
|
28±25
|
20±11
|
0.054
|
0.8302
1.02 (0.86-121)
|
|
Creatinine (mg/dl)
|
1.23±1.09
|
0.95±0.48
|
0.11
|
0.2057
23.5 (0.18-3106.26)
|
|
CRP (mg/dl)
|
7.0±7.9
|
5.9±5.7
|
0.43
|
|
|
Procalcitonin(ng/ml)
|
21.5±50.4
|
4.3±9.1
|
0.055
|
|
|
PT- INR
|
1.21±0.35
|
1.20±0.28
|
0.96
|
|
|
Severity of cholangitis
|
|
|
|
|
|
mild : moderate : severe
|
13:22:13
|
29:12:5
|
0.0019
|
|
|
moderate + severe
|
35 (72.9%)
|
17 (37%)
|
0.0004
|
0.8814
0.82 (0.07-10.41)
|
|
severe
|
13 (27%)
|
5 (10.9%)
|
0.12
|
0.1745
12.9 (0.32-514.9)
|
Outcome
|
|
|
Duration of anitibiotics usage (day)
|
8.1±5.0
|
7.1±4.0
|
0.3
|
|
|
Urgent /early biliary drainage
|
31 (64.6%)
|
17 (37%)
|
0.0065
|
|
|
Death with cholangitis
|
2 (4.2%)
|
0
|
0.43
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
The data of procalcitonin were obtained from 35 patients with positive hemoculture and 34 patients with negative hemoculture. Data are presented as number of patients (%). Mean values are presented as mean ± SD.
WBC=white blood cells; Neut%=proportion of neutrophils in the white blood cells; Lymph%= proportion of lymphocytes in the white blood cells; Mono%=proportion of monocytes in the white blood cells; GOT=glutamic oxaloacetic transaminase; GPT= glutamic pyruvic transaminase; CRP=C-reactive protein; PT-INR=prothrombin time international normalized ratio
*Ability of Neut% to predict bacteremia and severity in acute cholangitis
Fig. 2 illustrates the ROC curves for Neut%, WBC, CRP, and PCT for prediction of bacteremia (Fig. 2a), severe or moderate cholangitis (Fig. 2b), and severe cholangitis (Fig. 2c). Neut% and PCT were significantly associated with bacteremia (Neut%; AUC 0.86, 95%CI: 0.77–0.95, P<0.001, PCT; AUC 0.63, 95%CI: 0.50–0.77, P=0.047) and the correlation was stronger for Neut% compared to PCT (P=0.002). The optimal cutoff value using the Youden index in the ROC curve analysis was Neut% 89.7% and the sensitivity and specificity of this Neut% cutoff value for diagnosis of bacteremia was 77% and 80%, respectively. The associations between Neut%, PCT, and CRP and moderate or severe cholangitis were statistically significant (Neut%; AUC 0.75, 95%CI: 0.63–0.87, P<0.001, PCT; AUC 0.70, 95%CI: 0.60–0.82, P=.0023, CRP; AUC 0.67, 95%CI: 0.54–0.80, P=0.0128), but there was no statistical difference between Neut% and PCT (P=0.50). Regarding the prediction of severe cholangitis, Neut%, PCT, and CRP showed good statistical power (Neut%; AUC 0.71, 95%CI 0.56–0.86, P=0.0068, PCT; AUC 0.75, 95%CI 0.60–0.89, P<0.001, CRP; AUC 0.70, 95%CI : 0.53–0.88, P=0.0234), but there were no differences in ability among the three markers.
*Comparison of ability to predict bacteremia with other factors
We compared the ability of Neut% for prediction of bacteremia with PCT and other factors associated with severity assessment of acute cholangitis in TG13. We set the cutoff value of Neut% at 89.7% using the Youden index in the ROC curve. There were more patients with bacteremia in the Neut% ≥89.7% patients than in the Neut% <89.7% patients in the univariate analysis (37/48, 77.1% vs. 9/46, 19.6%, P<0.0001) and Neut% ≥89.7% and body temperature were selected as independent predictors of bacteremia in the multivariate analysis (Table 3).
Table 3. Analysis to identify predictors of bacteremia
|
Positive Hemoculture
|
Negative Hemoculture
|
Univariate analysis
|
Multivariate analysis
|
|
(N=48)
|
(N=46)
|
P value
|
P value
|
|
|
|
|
HR(95%CI)
|
Age≧ 75 years old
|
35 (72.9%)
|
27 (58.7%)
|
0.045
|
0.5930
1.4 (0.38-5.29)
|
WBC count ≧ 12, < 4 ×103/μl
|
25 (52%)
|
10 (21.7%)
|
0.0022
|
0.4834
1.6 (0.45-5.40)
|
Body temperature≧ 39℃
|
14 (29.2%)
|
2 (4.3%)
|
0.0012
|
0.0101
13.1 (1.85-92.65)
|
Platelet count< 10 ×104/μl
|
9 (18.8%)
|
1 (2.2%)
|
0.009
|
0.1154
7.3 (0.61-86.79)
|
Creatinine> 2.0mg/.dl
|
4 (8.3%)
|
0
|
0.064
|
|
PT-INR≧ 1.5
|
3 (6.3%)
|
2 (4.3%)
|
0.52
|
|
Albumin< 2.92 g/dl
|
13 (27%)
|
6 (13%)
|
0.075
|
|
Total bilirubin≧ 5.0mg/dl
|
7 (14.6%)
|
11 (23.9%)
|
0.19
|
|
Neut%≧ 89.7%
|
39 (81.3%)
|
11 (23.9%)
|
<0.0001
|
<0.001
12.7 (3.71-43.78)
|
Procalcitonin≧ 2.0ng/ml
|
17 (35.4%)
|
11 (23.9%)
|
0.13
|
|
Procalcitonin≧ 0.5ng/ml
|
26 (54.1%)
|
18 (39.1%)
|
0.055
|
|
Severe or moderate cholangitis
|
35 (72.9%)
|
17 (37.0%)
|
0.00044
|
0.9990
1.0 (0.28-3.62)
|
The data of procalcitonin were obtained from 35 patients with positive hemoculture and 34 patients with negative hemoculture. Data are presented as number of patients (%). Mean values are presented as mean ± SD.
The data of procalcitonin were obtained from 35 patients with positive hemoculture and 34 patients with negative hemoculture. Data are presented as number of patients (%). Mean values are presented as mean ± SD.
WBC=white blood cells; PT-INR=prothrombin time international normalized ratio; Neut%=proportion of neutrophils in the white blood cells
*Prognosis according to Neut%
We divided 94 patients into a Neut% ≥89.7% group (n=46) and a Neut% <89.7% group (n=48) and compared the prognosis in both groups (Table 4). In the Neut% ≥89.7% group, there were more patients with moderate or severe cholangitis (34/46 (73.9%) vs. 20/48 (37.5%), P=0.0015) and the frequency of urgent or early biliary decompression (within 24 hours) was higher than in the Neut% <89.7% group (30/46, 65.2% vs. 18/48, 37.5%, P=0.0063). Furthermore, hospital days were longer in ≥89.7% group than in Neut% <89.7% group (median: 18days vs. 14days, P=0.04).
Table 4. Prognosis according to Neut%
|
Neut%≧ 89.7%
|
Neut%< 89.7%
|
Univariate analysis
|
|
(N = 46 )
|
( N= 48 )
|
P value
|
Severity of cholangitis (severe)
|
13 (28.3%)
|
6 (12.5%)
|
0.049
|
Severity of cholangitis (moderate or severe)
|
34 (73.9%)
|
20 (41.7%)
|
0.0015
|
Urgent or early biliary drainage
|
30 (65.2%)
|
18 (37.5%)
|
0.0063
|
Duration of antibiotics (day)
|
7 (3-33)
|
7 (2-20)
|
0.96
|
Hospital stay (day)
|
18 (7-56)
|
14 (3-119)
|
0.04
|
Death associated with cholangitis
|
2 (4.3%)
|
0
|
0.24
|
Data except duration of antibiotics and hospital days are presented as number of patients (%).
Duration of antibiotics and hospital days are presented as median values.
*Ability of Neut% to predict bacteremia in mild cholangitis
In patients with mild cholangitis according to TG13, close observation without biliary drainage is recommended. However, 13 of 40 patients with mild cholangitis had a positive hemoculture in this study. As such, we studied the features of patients who had bacteremia even if they were diagnosed with mild cholangitis. Table 5 shows the characteristics of patients with mild cholangitis. There were significant differences between patients with positive and negative hemoculture in Neut% and platelet count in the univariate analysis (Neut%: 89.4%±4.4% vs. 81.8%±8.7%, P=0.0007, platelet count: 17.1±3.6×104 vs. 21.7±7.4×104/µl, P=0.013) and in Neut% in the multivariate analysis (P=0.046). We compared the ability of Neut% for prediction of bacteremia with other factors associated with severity assessment of acute cholangitis in TG13. We set the platelet count value at <19.4×104/μL using the mean value of the positive hemoculture group and the negative hemoculture group, and compared the ability of Neut% for prediction of bacteremia with other factors (Table 6). In the univariate analysis, there were significant differences in Neut% ≥89.7% and platelet count <19.4×104/μL (Neut%: 9/13, 69.2% vs. 4/27, 14.8%, P=0.0097, platelet count×104/μL: 11/13, 84.6%, 13/27, 48.1%, P=0.029). In the multivariate analysis, Neut% ≥89.7% was the only independent factor associated with bacteremia in mild cholangitis (P=0.016).
Table 5. Characteristics of the patients with mild cholangitis
|
Positive hemoculture
|
Negative hemoculture
|
Univariate analysis
|
Multivariate analysis
|
|
(N=13)
|
(N=27)
|
P value
|
P value
|
|
|
|
HR(95%CI)
|
Characteristics
|
|
|
Age (years)
|
75.7±11.9
|
71.3±14.4
|
0.17
|
0.65
0.97 (0.86-1.10)
|
|
|
Sex, male
|
6 (46.2%)
|
14 (51.9%)
|
0.5
|
|
|
|
Body
temperature (℃)
|
37.5±1.2
|
37.0±0.85
|
0.11
|
0.29
0.40 (0.08-2.15)
|
|
|
Blood pressure
(systolic) (mmHg)
|
125±14
|
131±32
|
0.38
|
|
|
|
Heart rate ( /min)
|
92±14
|
85±16
|
0.17
|
0.38
1.04 (0.96-1.13)
|
|
|
Cause
|
|
|
|
|
|
|
benign
|
9 (69.2%)
|
22 (81.5%)
|
0.9
|
|
|
|
biliary stent
|
3 (23.1%)
|
5 (18.5%)
|
0.52
|
|
|
Laboratory test
|
|
|
WBC count ( ×103/μl )
|
88±36
|
91±30
|
0.79
|
|
|
|
Platelet count (×104/ μl)
|
17.1±3.6
|
21.7±7.4
|
0.013
|
0.09
0.72 (0.49-1.05)
|
|
|
Neut %
|
89.4±4.4
|
81.8±8.7
|
0.0007
|
0.046
1.31 (1.00-1.70)
|
|
|
Albumin (g/dl)
|
3.5±0.6
|
3.7±0.6
|
0.39
|
|
|
|
Total bilirubin (mg/dl)
|
2.1±0.8
|
3.3±3.1
|
0.067
|
0.59
0.78 (0.31-1.96)
|
|
|
Blood urea nitrogen (mg/dl)
|
18±4
|
18±10
|
0.92
|
|
|
|
Creatinine (mg/dl)
|
0.83±0.15
|
0.86±0.38
|
0.77
|
|
|
|
CRP (mg/dl)
|
2.6±2.7
|
5.1±4.5
|
0.036
|
0.20
0.78 (0.53-1.15)
|
|
|
Procalcitonin (ng/ml)
|
6.5±15.3
|
1.8±2.5
|
0.45
|
|
|
|
PT- INR
|
1.21±0.35
|
1.20±0.28
|
0.052
|
0.37
0.003 (0.00-847)
|
|
|
|
|
|
|
|
|
|
|
|
The data of procalcitonin were obtained from 7 patients with positive hemoculture and 21 patients with negative hemoculture. Data are presented as number of patients (%). Mean values are presented as mean ±SD.
WBC=white blood cells; Neut%=proportion of neutrophils in the white blood cells; CRP=C-reactive protein; PT-INR=prothrombin time international normalized ratio
Table 6. Analysis to identify predictors of bacteremia in patients with mild cholangitis
|
Positive Hemoculture
|
Negative Hemoculture
|
Univariate analysis
|
Multivariate analysis
|
|
(N=13)
|
(N=27)
|
P value
|
P value
|
|
|
|
|
HR(95%CI)
|
Sex, male
|
6 (46.2%)
|
14 (51.9%)
|
0.5
|
0.289
0.33 (0.04-2.58)
|
Age≧ 75 years old
|
7 (53.8%)
|
27 (48.1%)
|
0.5
|
0.117
1.04 (0.99-1.08)
|
WBC≧ 120, < 40 ×103/μl
|
4 (30.8%)
|
3 (11.1%)
|
0.14
|
|
Body temperature≧ 39℃
|
7 (53.8%)
|
13 (48.1%)
|
0.5
|
|
Platelet count< 19.4 ×104/μl
|
11 (84.6%)
|
13 (48.1%)
|
0.029
|
0.259
3.67 (0.38-34.98)
|
Albumin< 2.92 g/dl
|
1 (7.6%)
|
2 (7.4%)
|
0.7
|
|
Total bilirubin≧ 5.0 mg/dl
|
0
|
4 (14.8%)
|
0.19
|
|
CRP (mg/dl)≧ 3.85 mg/dl
|
5 (38.5%)
|
8 (51.9%)
|
0.33
|
|
Neut%≧ 89.7%
|
8 (61.5%)
|
5 (18.5%)
|
0.0097
|
0.016
9.85 (1.53-63.19)
|
Procalcitonin≧ 2.0 ng/ml
|
2 (28.6%)
|
7 (25.9%)
|
0.6
|
|
Procalcitonin≧ 0.5 ng/ml
|
3 (23.1%)
|
10 (47.6%)
|
0.59
|
|
The data of procalcitonin were obtained from 7 patients with positive hemoculture and 21 patients with negative hemoculture. Data are presented as number of patients (%). Mean values are presented as mean ±SD.
WBC=white blood cells; CRP=C-reactive protein; Neut%=proportion of neutrophils in the white blood cells