Optimal Operational Definition of Patient with Peptic Ulcer Bleeding for Big Data Analysis Using Combination of Clinical Characteristics in a Secondary General Hospital

Background : /Aims: Peptic ulcer bleeding (PUB) is the most common cause of upper gastrointestinal bleeding in Korea but there has been no research done using big data. This study evaluates the optimal operational definition (OD) for big data research by analyzing clinical characteristics of PUB. M...

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Main Authors: Jae Won Lee, Hyun Ki Kim, Yong Sik Woo, Jaehoon Jahng, Young Ran Jin, Jong Heon Park, Yong Sung Kim, Hwoon-Yong Jung
Format: Article
Language:English
Published: Jin Publishing & Printing Co. 2016-08-01
Series:The Korean Journal of Gastroenterology
Subjects:
Online Access:http://www.kjg.or.kr/journal/view.html?doi=10.4166/kjg.2016.68.2.77
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spelling doaj-2573aa8af89840be97c700143f608c162020-11-24T20:49:16ZengJin Publishing & Printing Co.The Korean Journal of Gastroenterology1598-99922016-08-01682778610.4166/kjg.2016.68.2.77kjg.2016.68.2.77Optimal Operational Definition of Patient with Peptic Ulcer Bleeding for Big Data Analysis Using Combination of Clinical Characteristics in a Secondary General HospitalJae Won Lee0Hyun Ki Kim1Yong Sik Woo2Jaehoon Jahng3Young Ran Jin4Jong Heon Park5Yong Sung Kim6Hwoon-Yong Jung7Department of Internal Medicine and Wonkwang Digestive Disease Research InstituteWonkwang University Sanbon Hospital, Wonkwang University College of Medicine, Gunpo, KoreaDepartment of Internal Medicine and Wonkwang Digestive Disease Research InstituteWonkwang University Sanbon Hospital, Wonkwang University College of Medicine, Gunpo, KoreaDepartment of Internal Medicine and Wonkwang Digestive Disease Research InstituteWonkwang University Sanbon Hospital, Wonkwang University College of Medicine, Gunpo, KoreaDepartment of Internal Medicine and Wonkwang Digestive Disease Research InstituteWonkwang University Sanbon Hospital, Wonkwang University College of Medicine, Gunpo, KoreaDepartment of Medical RecordWonkwang University Sanbon Hospital, Wonkwang University College of Medicine, Gunpo, KoreaBig Data Steering Department, National Health Insurance Service, Wonju, KoreaDepartment of Internal Medicine and Wonkwang Digestive Disease Research InstituteWonkwang University Sanbon Hospital, Wonkwang University College of Medicine, Gunpo, KoreaDepartment of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, KoreaBackground : /Aims: Peptic ulcer bleeding (PUB) is the most common cause of upper gastrointestinal bleeding in Korea but there has been no research done using big data. This study evaluates the optimal operational definition (OD) for big data research by analyzing clinical characteristics of PUB. Methods : : We reviewed the clinical characteristics of 92 patients with PUB confirmed on endoscopy in Wonkwang University Sanbon Hospital (January 2013 to December 2014). We calculated sensitivity and positive predictive value (PPV) to detect confirmed PUB patients using ODs developed by combining clinical features of patients with PUB. Results : : The mean patient age was 63 years. Men had higher prevalence of PUB than women. Bleeding gastric ulcer was proportionately common in the age range of 40s to 60s in men, while a significantly higher rate of bleeding occurred in women older than 70s. The rate of drug-induced ulcer was 28.2%, whereas the prevalence of Helicobacter pylori was 47.8%. Among the hospitalized patients with diagnostic code of PUB, we ruled out patients with endoscopic removal of gastric adenoma or peritonitis, and selected patients who had been administered intravenous proton pump inhibitor. The sensitivity in this setting was 82.6%, and PPV was 88.4%. Conclusion : s: PUB was more common in older patients, and there was a clear gender difference in gastric ulcer bleeding by age. With a proper OD using PUB diagnostic codes, we can identify true patients with sufficiently high sensitivity and PPV. (Korean J Gastroenterol 2016;68:77-86)http://www.kjg.or.kr/journal/view.html?doi=10.4166/kjg.2016.68.2.77Peptic ulcer hemorrhageBig dataOperational definitionSensitivity and specificityPredictive value of tests
collection DOAJ
language English
format Article
sources DOAJ
author Jae Won Lee
Hyun Ki Kim
Yong Sik Woo
Jaehoon Jahng
Young Ran Jin
Jong Heon Park
Yong Sung Kim
Hwoon-Yong Jung
spellingShingle Jae Won Lee
Hyun Ki Kim
Yong Sik Woo
Jaehoon Jahng
Young Ran Jin
Jong Heon Park
Yong Sung Kim
Hwoon-Yong Jung
Optimal Operational Definition of Patient with Peptic Ulcer Bleeding for Big Data Analysis Using Combination of Clinical Characteristics in a Secondary General Hospital
The Korean Journal of Gastroenterology
Peptic ulcer hemorrhage
Big data
Operational definition
Sensitivity and specificity
Predictive value of tests
author_facet Jae Won Lee
Hyun Ki Kim
Yong Sik Woo
Jaehoon Jahng
Young Ran Jin
Jong Heon Park
Yong Sung Kim
Hwoon-Yong Jung
author_sort Jae Won Lee
title Optimal Operational Definition of Patient with Peptic Ulcer Bleeding for Big Data Analysis Using Combination of Clinical Characteristics in a Secondary General Hospital
title_short Optimal Operational Definition of Patient with Peptic Ulcer Bleeding for Big Data Analysis Using Combination of Clinical Characteristics in a Secondary General Hospital
title_full Optimal Operational Definition of Patient with Peptic Ulcer Bleeding for Big Data Analysis Using Combination of Clinical Characteristics in a Secondary General Hospital
title_fullStr Optimal Operational Definition of Patient with Peptic Ulcer Bleeding for Big Data Analysis Using Combination of Clinical Characteristics in a Secondary General Hospital
title_full_unstemmed Optimal Operational Definition of Patient with Peptic Ulcer Bleeding for Big Data Analysis Using Combination of Clinical Characteristics in a Secondary General Hospital
title_sort optimal operational definition of patient with peptic ulcer bleeding for big data analysis using combination of clinical characteristics in a secondary general hospital
publisher Jin Publishing & Printing Co.
series The Korean Journal of Gastroenterology
issn 1598-9992
publishDate 2016-08-01
description Background : /Aims: Peptic ulcer bleeding (PUB) is the most common cause of upper gastrointestinal bleeding in Korea but there has been no research done using big data. This study evaluates the optimal operational definition (OD) for big data research by analyzing clinical characteristics of PUB. Methods : : We reviewed the clinical characteristics of 92 patients with PUB confirmed on endoscopy in Wonkwang University Sanbon Hospital (January 2013 to December 2014). We calculated sensitivity and positive predictive value (PPV) to detect confirmed PUB patients using ODs developed by combining clinical features of patients with PUB. Results : : The mean patient age was 63 years. Men had higher prevalence of PUB than women. Bleeding gastric ulcer was proportionately common in the age range of 40s to 60s in men, while a significantly higher rate of bleeding occurred in women older than 70s. The rate of drug-induced ulcer was 28.2%, whereas the prevalence of Helicobacter pylori was 47.8%. Among the hospitalized patients with diagnostic code of PUB, we ruled out patients with endoscopic removal of gastric adenoma or peritonitis, and selected patients who had been administered intravenous proton pump inhibitor. The sensitivity in this setting was 82.6%, and PPV was 88.4%. Conclusion : s: PUB was more common in older patients, and there was a clear gender difference in gastric ulcer bleeding by age. With a proper OD using PUB diagnostic codes, we can identify true patients with sufficiently high sensitivity and PPV. (Korean J Gastroenterol 2016;68:77-86)
topic Peptic ulcer hemorrhage
Big data
Operational definition
Sensitivity and specificity
Predictive value of tests
url http://www.kjg.or.kr/journal/view.html?doi=10.4166/kjg.2016.68.2.77
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