Lee Linda S, Tabak Ying P, Kadiyala Vivek, Sun Xiaowu, Suleiman Shadeah, Johannes Richard S, Banks Peter A, Conwell Darwin L
From the *Division of Gastroenterology, Hepatology and Endoscopy, Brigham and Women's Hospital, Boston, MA; †Department of Clinical Research, CareFusion, San Diego, CA; and ‡Division of Gastroenterology, Hepatology, and Nutrition, Ohio State University Medical Center, Columbus, OH.
Pancreas. 2017 Mar;46(3):405-409. doi: 10.1097/MPA.0000000000000768.
Diagnosing chronic pancreatitis remains challenging. Endoscopic ultrasound (EUS) is utilized to evaluate pancreatic disease. Abnormal pancreas function test is considered the "nonhistologic" criterion standard for chronic pancreatitis. We derived a prediction model for abnormal endoscopic pancreatic function test (ePFT) by enriching EUS findings with patient demographic and pancreatitis behavioral risk characteristics.
Demographics, behavioral risk characteristics, EUS findings, and peak bicarbonate results were collected from patients evaluated for pancreatic disease. Abnormal ePFT was defined as peak bicarbonate of less than 75 mEq/L. We fit a logistic regression model and converted it to a risk score system. The risk score was validated using 1000 bootstrap simulations.
A total of 176 patients were included; 61% were female with median age of 48 years (interquartile range, 38-57 years). Abnormal ePFT rate was 39.2% (69/176). Four variables formulated the risk score: alcohol or smoking status, number of parenchymal abnormalities, number of ductal abnormalities, and calcifications. Abnormal ePFT occurred in 10.7% with scores 4 or less versus 92.0% scoring 20 or greater. The model C-statistic was 0.78 (95% confidence interval, 0.71-0.85).
Number of EUS pancreatic duct and parenchymal abnormalities, presence of calcification, and smoking/alcohol status were predictive of abnormal ePFT. This simple model has good discrimination for ePFT results.
诊断慢性胰腺炎仍然具有挑战性。内镜超声(EUS)用于评估胰腺疾病。胰腺功能测试异常被认为是慢性胰腺炎的“非组织学”标准。我们通过将患者人口统计学和胰腺炎行为风险特征纳入EUS检查结果,得出了内镜下胰腺功能测试(ePFT)异常的预测模型。
收集因胰腺疾病接受评估的患者的人口统计学、行为风险特征、EUS检查结果和碳酸氢盐峰值结果。异常ePFT定义为碳酸氢盐峰值低于75 mEq/L。我们拟合了一个逻辑回归模型,并将其转换为风险评分系统。使用1000次自助模拟对风险评分进行验证。
共纳入176例患者;61%为女性,中位年龄48岁(四分位间距,38 - 57岁)。异常ePFT率为39.2%(69/176)。四个变量构成风险评分:饮酒或吸烟状况、实质异常数量、导管异常数量和钙化情况。评分4分及以下的患者中异常ePFT发生率为10.7%,而评分20分及以上的患者中该发生率为92.0%。模型的C统计量为0.78(95%置信区间,0.71 - 0.85)。
EUS检查发现的胰腺导管和实质异常数量、钙化情况以及吸烟/饮酒状况可预测ePFT异常。这个简单的模型对ePFT结果具有良好的区分度。