Abstract | BACKGROUND: MATERIALS AND METHODS: 226 patients with histologically proven IPMNs who underwent surgery were included in the present study. Patients were assigned to a training group (n = 151) and validation group (n = 75). Patients' demographic information, clinical data, and histopathological evaluation findings were obtained from medical records. Malignant IPMNs were defined as lesions that showed high grade dysplasia and invasive carcinoma. Logistic regression analyses were used to show the association between HDL-c and malignant IPMNs. Receiver operating characteristic (ROC) curves were generated to analyze predictive performance. RESULTS: The prevalence of low HDL-c levels was higher in patients with malignant IPMNs than in those with non-malignant IPMNs (P < 0.01) in both the training group and validation group. The prevalence of malignant IPMNs decreased with an increase in HDL-c levels both in patients with all types of IPMNs, as well as in those with branch-duct IPMNs (BD-IPMNs).Logistic analysis showed that low HDL-c levels were associated with malignant IPMNs (odds ratio (OR) = 20.56, 95 % confidence interval (CI): 2.58-163.64, P < 0.01) in all types of IPMNs and BD-IPMNs (OR = 17.6, 95 %CI: 1.16-268.46, P = 0.02 ).The predictive performance of mural nodules plus low HDL-c levels was higher than that of mural nodules alone or mural nodules plus cyst size for the identification of malignant BD-IPMNs. CONCLUSIONS: HDL-c levels may serve a potential biomarker for identifying malignant IPMNs and improve the predictive ability of malignancy in BD-IPMNs.
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Authors | Cheng Wang, Tingting Lin, Xinru Wang, Zhicheng Yu, Xiaoling Zhuge, Wenjing Cui, Miaomiao Wang, Zhongqiu Wang, Chuangen Guo, Xiao Chen |
Journal | Lipids in health and disease
(Lipids Health Dis)
Vol. 20
Issue 1
Pg. 94
(Aug 28 2021)
ISSN: 1476-511X [Electronic] England |
PMID | 34454509
(Publication Type: Journal Article, Multicenter Study)
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Copyright | © 2021. The Author(s). |
Chemical References |
- Biomarkers
- Cholesterol, HDL
|
Topics |
- Aged
- Biomarkers
(blood)
- Cholesterol, HDL
(blood)
- Female
- Humans
- Logistic Models
- Male
- Middle Aged
- Pancreatic Intraductal Neoplasms
(blood, etiology)
- ROC Curve
- Risk Factors
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