| Literature DB >> 32308673 |
Wang Gu1, Zhong Tong1.
Abstract
AIMS: Choledocholithiasis is a common and yet potentially debilitating disease of the biliary tract. While certain patients with this disease remain largely asymptomatic or experience mild discomfort, in several cases, patient can suffer biliary inflammation and other serious symptoms. Previous studies have detected elevated serum levels of carbohydrate antigen 199 in patients with choledocholithiasis. We wanted to know whether serum CA199 level in patients with choledocholithiasis is related to the level of inflammation in patients.Entities:
Year: 2020 PMID: 32308673 PMCID: PMC7132361 DOI: 10.1155/2020/2739612
Source DB: PubMed Journal: Gastroenterol Res Pract ISSN: 1687-6121 Impact factor: 2.260
Contrast table of gender, age, and total bilirubin value in two groups.
| WBC |
| Gender (male) | Age | TBIL |
|---|---|---|---|---|
| 3.5~9.5 × 109/L | 74 | 36(48.65) | 68.64 ± 14.56 | 27.75 (19.13,70.60) |
| ≥9.5 × 109/L | 61 | 33(54.10) | 72.69 ± 12.15 | 55.30 (26.85,110.80) |
| c2/t/z | 0.397 | -1.733 | -2.390 | |
|
| 0.528 | 0.085 | 0.017∗ |
∗ P < 0.05.
Comparisons of Ca199 between the two groups.
| WBC |
| Ca199 |
|
|
|---|---|---|---|---|
| 3.5~9.5 × 109/L | 74 | 28.71 (13.28,87.59) | -3.584 | 0.000∗∗ |
| ≥9.5 × 109/L | 61 | 78.89 (27.49,436.90) |
∗∗ P < 0.01.
Figure 1Statistic result of CRP.
| CRP |
| CRP |
|
|
|---|---|---|---|---|
| <10 mg/L | 76 | 3.12 (1.80,6.66) | -6.94 | 0.000∗∗ |
| ≥10 mg/L | 59 | 23.14 (12.98,45.78) |
∗∗ P < 0.01.
Area under the curve.
| Test result variable(s) | Area | Asymptotic sig.b | Asymptotic 95% confidence interval | Cutoff value | Specificity | Sensitivity | |
|---|---|---|---|---|---|---|---|
| Lower bound | Upper bound | ||||||
| WBC | 0.685 | 0.000 | 0.594 | 0.775 | 8.9 | 0.688 | 0.655 |
| Ca199 | 0.977 | 0.000 | 0.953 | 1.000 | 59.54 | 0.935 | 0.931 |
The test result variable(s): WBC has at least one tie between the positive actual state group and the negative actual state group. Statistics may be biased. aUnder the nonparametric assumption. bNull hypothesis: true area = 0.5.
Figure 2Multiple linear regression for WBC.
| Variables | Std. error | Standardized coefficients |
|
| 95.0% confidence interval for B | Collinearity statistics | ||
|---|---|---|---|---|---|---|---|---|
| Beta | Lower bound | Upper bound | Tolerance | VIF | ||||
| (Constant) | 2.434 | 2.121 | 0.036 | 0.346 | 9.978 | |||
| Gender | 0.897 | 0.043 | 0.502 | 0.617 | -1.325 | 2.225 | 0.965 | 1.037 |
| Age | 0.033 | 0.129 | 1.495 | 0.137 | -0.016 | 0.116 | 0.942 | 1.061 |
| CA199 | 0.002 | 0.212 | 2.077 | 0.04 | 0 | 0.007 | 0.677 | 1.476 |
| Tbil | 0.007 | 0.034 | 0.33 | 0.742 | -0.011 | 0.015 | 0.678 | 1.474 |
Multiple linear regression for CRP.
| Variables | Std. error | Standardized coefficients |
|
| 95.0% confidence interval for B | Collinearity statistics | ||
|---|---|---|---|---|---|---|---|---|
| Beta | Lower bound | Upper bound | Tolerance | VIF | ||||
| (Constant) | 19.477 | 2.238 | 0.027 | 5.053 | 82.119 | |||
| Tbil | 0.052 | 0.144 | 1.392 | 0.166 | -0.031 | 0.175 | 0.678 | 1.474 |
| Gender | 7.18 | -0.005 | -0.054 | 0.957 | -14.59 | 13.819 | 0.965 | 1.037 |
| Age | 0.268 | -0.123 | -1.4 | 0.164 | -0.904 | 0.155 | 0.942 | 1.061 |
| CA199 | 0.015 | 0.075 | 0.723 | 0.471 | -0.018 | 0.04 | 0.677 | 1.476 |