Dataset Information

Identification of Individuals at Increased Risk for Pancreatic Cancer in a Community-Based Cohort of Patients With Suspected Chronic Pancreatitis.

ABSTRACT:

Objectives

We lack reliable methods for identifying patients with chronic pancreatitis (CP) at increased risk for pancreatic cancer. We aimed to identify radiographic parameters associated with pancreatic cancer in this population.

Methods

We conducted a retrospective cohort study of patients with suspected CP within an integrated healthcare system in Southern California in 2006-2015. Patients were identified by a diagnostic code and confirmed by imaging findings (parenchymal calcification, ductal stones, glandular atrophy, pseudocyst, main duct dilatation, duct irregularity, abnormal side branch, or stricture) defined by the natural language processing of radiographic reports. We used Cox regression to determine the relationship of smoking, alcohol use, acute pancreatitis, diabetes, body mass index, and imaging features with the risk of incident pancreatic cancer at least 1 year after abnormal pancreas imaging.

Results

We identified 1,766 patients with a diagnostic code and an imaging feature for CP with a median follow-up of 4.5 years. There were 46 incident pancreatic cancer cases. Factors that predicted incident pancreatic cancer after 1-year of follow-up included obesity (hazard ratio 2.7, 95% confidence interval: 1.2-6.1) and duct dilatation (hazard ratio 10.5, 95% confidence limit: 4.0-27). Five-year incidence of pancreatic cancer in this population with duct dilatation was 6.3%.

Discussion

High incidence of pancreatic cancer in suspected patients with CP with pancreatic duct dilatation warrants regular surveillance for pancreatic cancer.

SUBMITTER: Jeon CY

PROVIDER: S-EPMC7263650 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Publications

Identification of Individuals at Increased Risk for Pancreatic Cancer in a Community-Based Cohort of Patients With Suspected Chronic Pancreatitis.

Jeon Christie Y CY Chen Qiaoling Q Yu Wei W Dong Elizabeth Y EY Chung Joanie J Pandol Stephen J SJ Yadav Dhiraj D Conwell Darwin L DL Wu Bechien U BU

Clinical and translational gastroenterology 20200401 4

<h4>Objectives</h4>We lack reliable methods for identifying patients with chronic pancreatitis (CP) at increased risk for pancreatic cancer. We aimed to identify radiographic parameters associated with pancreatic cancer in this population.<h4>Methods</h4>We conducted a retrospective cohort study of patients with suspected CP within an integrated healthcare system in Southern California in 2006-2015. Patients were identified by a diagnostic code and confirmed by imaging findings (parenchymal calc ...[more]

PMID: 32352677

Similar Datasets

Project description:To explore the risk factors of developing chronic pancreatitis (CP) in patients with acute pancreatitis (AP) and develop a prediction score for CP. Using the National Health Insurance Research Database in Taiwan, we obtained large, population-based data of 5971 eligible patients diagnosed with AP from 2000 to 2013. After excluding patients with obstructive pancreatitis and biliary pancreatitis and those with a follow-up period of less than 1 year, we conducted a multivariate analysis using the data of 3739 patients to identify the risk factors of CP and subsequently develop a scoring system that could predict the development of CP in patients with AP. In addition, we validated the scoring system using a validation cohort. Among the study subjects, 142 patients (12.98%) developed CP among patients with RAP. On the other hand, only 32 patients (1.21%) developed CP among patients with only one episode of AP. The multivariate analysis revealed that the presence of recurrent AP (RAP), alcoholism, smoking habit, and age of onset of < 55 years were the four important risk factors for CP. We developed a scoring system (risk score 1 and risk score 2) from the derivation cohort by classifying the patients into low-risk, moderate-risk, and high-risk categories based on similar magnitudes of hazard and validated the performance using another validation cohort. Using the prediction score model, the area under the curve (AUC) [95% confidence interval (CI)] in predicting the 5-year CP incidence in risk score 1 (without the number of AP episodes) was 0.83 (0.79, 0.87), whereas the AUC (95%CI) in risk score 2 (including the number of AP episodes) was 0.84 (0.80, 0.88). This result demonstrated that the risk score 2 has somewhat better prediction performance than risk score 1. However, both of them had similar performance between the derivation and validation cohorts. In the study,we identified the risk factors of CP and developed a prediction score model for CP.

Dataset Information

Identification of Individuals at Increased Risk for Pancreatic Cancer in a Community-Based Cohort of Patients With Suspected Chronic Pancreatitis.

Objectives

Methods

Results

Discussion

Publications

Identification of Individuals at Increased Risk for Pancreatic Cancer in a Community-Based Cohort of Patients With Suspected Chronic Pancreatitis.

Similar Datasets

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