Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
BMC Gastroenterol. 2023 Dec 12;23(1):436. doi: 10.1186/s12876-023-03076-9.
Jaundice occurs in some pancreatic disease. However, its occurrences and role in pancreatic neuroendocrine neoplasms (PNENs) has not been well studied. In this study we showed the association between jaundice and the risk of high grade and poorly differentiated PNENs.
Ninety-three patients with head-neck PNENs were included. Poorly differentiated pancreatic neuroendocrine neoplasms were defined by a ki67 index > 55.0%. Logistic regression was used to show the association between demographic information, clinical signs and symptoms and the risk of poorly differentiated tumors. A nomogram model was developed to predict poorly differentiated tumor.
Eight of 93 PNEN patients (8.6%) had jaundice. The age and ki67 index in patients with jaundice were significantly higher than those patients without jaundice. All jaundice occurred in patients with grade 3 PNENs. Mutivariable regression analysis showed that age (odds ratio(OR) = 1.10, 95% confidence interval (CI):1.02-1.19), tumor size (OR = 1.42, 95%CI:1.01-2.00) and jaundice (OR = 14.98, 95%CI: 1.22-184.09) were associated with the risk of poorly differentiated PNENs. The age and size combination showed a good performance in predicting poorly differentiated PNENs (area under the curve (AUC) = 0.81, 95% CI: 0.71-0.90). The addition of jaundice further improved the age- and size-based model (AUC = 0.86, 95% CI: 0.78-0.91). A nomogram was developed based on age, tumor size and jaundice.
Our data showed that jaundice was associated with the risk of high grade PNENs and poorly differentiated PNENs.
黄疸发生于某些胰腺疾病。然而,其在胰腺神经内分泌肿瘤(PNENs)中的发生和作用尚未得到很好的研究。在这项研究中,我们显示了黄疸与高级别和低分化 PNENs 风险之间的关联。
纳入 93 例头颈部 PNEN 患者。低分化胰腺神经内分泌肿瘤的定义为 ki67 指数>55.0%。使用逻辑回归显示人口统计学信息、临床症状与低分化肿瘤风险之间的关联。建立了一个列线图模型来预测低分化肿瘤。
93 例 PNEN 患者中有 8 例(8.6%)有黄疸。黄疸患者的年龄和 ki67 指数明显高于无黄疸患者。所有黄疸均发生于 3 级 PNENs 患者中。多变量回归分析显示,年龄(比值比(OR)=1.10,95%置信区间(CI):1.02-1.19)、肿瘤大小(OR=1.42,95%CI:1.01-2.00)和黄疸(OR=14.98,95%CI:1.22-184.09)与低分化 PNENs 的风险相关。年龄和大小的组合在预测低分化 PNENs 方面表现良好(曲线下面积(AUC)=0.81,95%CI:0.71-0.90)。黄疸的加入进一步改善了基于年龄和大小的模型(AUC=0.86,95%CI:0.78-0.91)。基于年龄、肿瘤大小和黄疸建立了一个列线图。
我们的数据显示,黄疸与高级别 PNENs 和低分化 PNENs 的风险相关。