Analysis of influencing factors of severity in acute pancreatitis using big data mining

Bibliographic Details
Main Author: Fei,Yang
Publication Date: 2018
Other Authors: Liu,Xiao-qiang, Gao,Kun, Xue,Cheng-bin, Tang,Liang, Tu,Jian-feng, Wang,Wei, Li,Wei-qin
Format: Article
Language: eng
Source: Revista da Associação Médica Brasileira (Online)
Download full: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-42302018000500454
Summary: SUMMARY OBJECTIVES To evaluate the epidemiological characteristics of acute pancreatitis (AP) and explore potential relationships between these factors and severity. METHODOLOGY Data-sets of 5,659 patients with AP from health statistics and the Information Center of Jiangsu province, between 2014 and 2016, were analyzed. A self-organizing map (SOM) neural network was used for data clustering. RESULTS Biliary acute pancreatitis (BAP) (86.7%) was the most frequent etiological factor. A total of 804 (14.2%) patients had severe acute pancreatitis (SAP). The mean age of patients was 53.7 + 17.3 (range 12~94y). Most of the AP patients were married (75.4%); 6% of mild /moderately severe AP (MAP/MASP) patients were unmarried, which was less than SAP patients (P=0.016). AP patients with blood type AB in the general population (8.8%) was significantly lower than that of AP cases (13.9%) (P=0.019) and SAP cases(18.7%) (P=0.007). The number of AP patients in southern Jiangsu was much higher than that in northern Jiangsu province, especially in Nanjing (1229, 21.7%). The proportion of acute alcoholic pancreatitis (AAP) in the north of Jiangsu (Xuzhou 18.4%) was much higher than that in southern Jiangsu (Suzhou 2.6%). The whole sample was divided into five classes by SOM neural network. If BAP patients were male, old, divorced, and blood type AB or B, they were more likely to develop SAP. Middle-age, unmarried or divorced male patients with blood type B/AB who suffered from HAP or AAP were also more likely to develop SAP. CONCLUSIONS The number of unmarried patients with MAP/MASP was smaller than that of SAP. Blood types AB and B were more frequent in AP, especially in SAP. The differences between southern Jiangsu and northern Jiangsu, in number of AP patients and the proportion of AAP, were significant. In class I and class IV, the ratio of SAP was much higher than in other classes and the whole sample.
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spelling Analysis of influencing factors of severity in acute pancreatitis using big data miningPancreatitisAcute Necrotizing PancreatitisData MiningABO Blood-Group SystemSUMMARY OBJECTIVES To evaluate the epidemiological characteristics of acute pancreatitis (AP) and explore potential relationships between these factors and severity. METHODOLOGY Data-sets of 5,659 patients with AP from health statistics and the Information Center of Jiangsu province, between 2014 and 2016, were analyzed. A self-organizing map (SOM) neural network was used for data clustering. RESULTS Biliary acute pancreatitis (BAP) (86.7%) was the most frequent etiological factor. A total of 804 (14.2%) patients had severe acute pancreatitis (SAP). The mean age of patients was 53.7 + 17.3 (range 12~94y). Most of the AP patients were married (75.4%); 6% of mild /moderately severe AP (MAP/MASP) patients were unmarried, which was less than SAP patients (P=0.016). AP patients with blood type AB in the general population (8.8%) was significantly lower than that of AP cases (13.9%) (P=0.019) and SAP cases(18.7%) (P=0.007). The number of AP patients in southern Jiangsu was much higher than that in northern Jiangsu province, especially in Nanjing (1229, 21.7%). The proportion of acute alcoholic pancreatitis (AAP) in the north of Jiangsu (Xuzhou 18.4%) was much higher than that in southern Jiangsu (Suzhou 2.6%). The whole sample was divided into five classes by SOM neural network. If BAP patients were male, old, divorced, and blood type AB or B, they were more likely to develop SAP. Middle-age, unmarried or divorced male patients with blood type B/AB who suffered from HAP or AAP were also more likely to develop SAP. CONCLUSIONS The number of unmarried patients with MAP/MASP was smaller than that of SAP. Blood types AB and B were more frequent in AP, especially in SAP. The differences between southern Jiangsu and northern Jiangsu, in number of AP patients and the proportion of AAP, were significant. In class I and class IV, the ratio of SAP was much higher than in other classes and the whole sample.Associação Médica Brasileira2018-05-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-42302018000500454Revista da Associação Médica Brasileira v.64 n.5 2018reponame:Revista da Associação Médica Brasileira (Online)instname:Associação Médica Brasileira (AMB)instacron:AMB10.1590/1806-9282.64.05.454info:eu-repo/semantics/openAccessFei,YangLiu,Xiao-qiangGao,KunXue,Cheng-binTang,LiangTu,Jian-fengWang,WeiLi,Wei-qineng2018-10-03T00:00:00Zoai:scielo:S0104-42302018000500454Revistahttps://ramb.amb.org.br/ultimas-edicoes/#https://old.scielo.br/oai/scielo-oai.php||ramb@amb.org.br1806-92820104-4230opendoar:2018-10-03T00:00Revista da Associação Médica Brasileira (Online) - Associação Médica Brasileira (AMB)false
dc.title.none.fl_str_mv Analysis of influencing factors of severity in acute pancreatitis using big data mining
title Analysis of influencing factors of severity in acute pancreatitis using big data mining
spellingShingle Analysis of influencing factors of severity in acute pancreatitis using big data mining
Fei,Yang
Pancreatitis
Acute Necrotizing Pancreatitis
Data Mining
ABO Blood-Group System
title_short Analysis of influencing factors of severity in acute pancreatitis using big data mining
title_full Analysis of influencing factors of severity in acute pancreatitis using big data mining
title_fullStr Analysis of influencing factors of severity in acute pancreatitis using big data mining
title_full_unstemmed Analysis of influencing factors of severity in acute pancreatitis using big data mining
title_sort Analysis of influencing factors of severity in acute pancreatitis using big data mining
author Fei,Yang
author_facet Fei,Yang
Liu,Xiao-qiang
Gao,Kun
Xue,Cheng-bin
Tang,Liang
Tu,Jian-feng
Wang,Wei
Li,Wei-qin
author_role author
author2 Liu,Xiao-qiang
Gao,Kun
Xue,Cheng-bin
Tang,Liang
Tu,Jian-feng
Wang,Wei
Li,Wei-qin
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Fei,Yang
Liu,Xiao-qiang
Gao,Kun
Xue,Cheng-bin
Tang,Liang
Tu,Jian-feng
Wang,Wei
Li,Wei-qin
dc.subject.por.fl_str_mv Pancreatitis
Acute Necrotizing Pancreatitis
Data Mining
ABO Blood-Group System
topic Pancreatitis
Acute Necrotizing Pancreatitis
Data Mining
ABO Blood-Group System
description SUMMARY OBJECTIVES To evaluate the epidemiological characteristics of acute pancreatitis (AP) and explore potential relationships between these factors and severity. METHODOLOGY Data-sets of 5,659 patients with AP from health statistics and the Information Center of Jiangsu province, between 2014 and 2016, were analyzed. A self-organizing map (SOM) neural network was used for data clustering. RESULTS Biliary acute pancreatitis (BAP) (86.7%) was the most frequent etiological factor. A total of 804 (14.2%) patients had severe acute pancreatitis (SAP). The mean age of patients was 53.7 + 17.3 (range 12~94y). Most of the AP patients were married (75.4%); 6% of mild /moderately severe AP (MAP/MASP) patients were unmarried, which was less than SAP patients (P=0.016). AP patients with blood type AB in the general population (8.8%) was significantly lower than that of AP cases (13.9%) (P=0.019) and SAP cases(18.7%) (P=0.007). The number of AP patients in southern Jiangsu was much higher than that in northern Jiangsu province, especially in Nanjing (1229, 21.7%). The proportion of acute alcoholic pancreatitis (AAP) in the north of Jiangsu (Xuzhou 18.4%) was much higher than that in southern Jiangsu (Suzhou 2.6%). The whole sample was divided into five classes by SOM neural network. If BAP patients were male, old, divorced, and blood type AB or B, they were more likely to develop SAP. Middle-age, unmarried or divorced male patients with blood type B/AB who suffered from HAP or AAP were also more likely to develop SAP. CONCLUSIONS The number of unmarried patients with MAP/MASP was smaller than that of SAP. Blood types AB and B were more frequent in AP, especially in SAP. The differences between southern Jiangsu and northern Jiangsu, in number of AP patients and the proportion of AAP, were significant. In class I and class IV, the ratio of SAP was much higher than in other classes and the whole sample.
publishDate 2018
dc.date.none.fl_str_mv 2018-05-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.1590/1806-9282.64.05.454
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dc.publisher.none.fl_str_mv Associação Médica Brasileira
publisher.none.fl_str_mv Associação Médica Brasileira
dc.source.none.fl_str_mv Revista da Associação Médica Brasileira v.64 n.5 2018
reponame:Revista da Associação Médica Brasileira (Online)
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reponame_str Revista da Associação Médica Brasileira (Online)
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