Related Factors and Risk Model Prediction of Pneumonia After ESD in Patients with Early Gastric Cancer

Objective To investigate the related factors and risk model prediction of pneumonia in patients with early gastric cancer after ESD. Methods We enrolled 171 patients with early gastric cancer who underwent endoscopic submucosal dissection (ESD) from May 2016 to February 2019. Logistic regression ana...

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Main Authors: LIU Xiaoyan, TANG Haitao, WANG Xiuzhong, PAN Hongnian
Format: Article
Language:zho
Published: Magazine House of Cancer Research on Prevention and Treatment 2019-10-01
Series:Zhongliu Fangzhi Yanjiu
Subjects:
Online Access:http://html.rhhz.net/ZLFZYJ/html/8578.2019.19.0337.htm
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author LIU Xiaoyan
TANG Haitao
WANG Xiuzhong
PAN Hongnian
author_facet LIU Xiaoyan
TANG Haitao
WANG Xiuzhong
PAN Hongnian
author_sort LIU Xiaoyan
collection DOAJ
description Objective To investigate the related factors and risk model prediction of pneumonia in patients with early gastric cancer after ESD. Methods We enrolled 171 patients with early gastric cancer who underwent endoscopic submucosal dissection (ESD) from May 2016 to February 2019. Logistic regression analysis was used to screen independent risk factor of pneumonia in patients with early gastric cancer after ESD. Then, based on the selected independent risk factors, we established a nomogram prediction model and verified the accuracy and predictability of the model. Results Hyperlipidemia, antibacterial usage, ICU treatment or not, swallowing disorder, infiltration depth, oral care and indwelling gastric tube were independent risk factors for pneumonia after ESD. Based on the selected seven independent risk factors, we established a nomogram model to predict the risk of pneumonia after ESD. The validation of the model showed that the predicted values and the observed values were basically consistent, indicating that the nomogram prediction model had a good predictive ability. We used the Bootstrap internal verification method to validate the model. The C-index index was 0.937 (95%CI: 0.929-0.945), indicating that the model had good precision and discrimination. Conclusion For patients with early gastric cancer, timely consideration of hyperlipidemia, antibiotic usage, ICU treatment or not, dysphagia, depth of infiltration, oral care and indwelling gastric tube could improve the diagnostic efficacy for the incidence of pneumonia after ESD.
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spelling doaj.art-e0257abacee94dcaafbf87672f11c87e2022-12-22T01:40:06ZzhoMagazine House of Cancer Research on Prevention and TreatmentZhongliu Fangzhi Yanjiu1000-85781000-85782019-10-01461091692010.3971/j.issn.1000-8578.2019.19.03378578.2019.19.0337Related Factors and Risk Model Prediction of Pneumonia After ESD in Patients with Early Gastric CancerLIU Xiaoyan0TANG Haitao1WANG Xiuzhong2PAN Hongnian3Department of Gastroenterology, Lu'an People's Hospital, Lu'an 237000, ChinaDepartment of Gastroenterology, Lu'an People's Hospital, Lu'an 237000, ChinaDepartment of Gastroenterology, Lu'an People's Hospital, Lu'an 237000, ChinaDepartment of Gastroenterology, Lu'an People's Hospital, Lu'an 237000, ChinaObjective To investigate the related factors and risk model prediction of pneumonia in patients with early gastric cancer after ESD. Methods We enrolled 171 patients with early gastric cancer who underwent endoscopic submucosal dissection (ESD) from May 2016 to February 2019. Logistic regression analysis was used to screen independent risk factor of pneumonia in patients with early gastric cancer after ESD. Then, based on the selected independent risk factors, we established a nomogram prediction model and verified the accuracy and predictability of the model. Results Hyperlipidemia, antibacterial usage, ICU treatment or not, swallowing disorder, infiltration depth, oral care and indwelling gastric tube were independent risk factors for pneumonia after ESD. Based on the selected seven independent risk factors, we established a nomogram model to predict the risk of pneumonia after ESD. The validation of the model showed that the predicted values and the observed values were basically consistent, indicating that the nomogram prediction model had a good predictive ability. We used the Bootstrap internal verification method to validate the model. The C-index index was 0.937 (95%CI: 0.929-0.945), indicating that the model had good precision and discrimination. Conclusion For patients with early gastric cancer, timely consideration of hyperlipidemia, antibiotic usage, ICU treatment or not, dysphagia, depth of infiltration, oral care and indwelling gastric tube could improve the diagnostic efficacy for the incidence of pneumonia after ESD.http://html.rhhz.net/ZLFZYJ/html/8578.2019.19.0337.htmearly gastric canceresdpneumoniarisk model prediction
spellingShingle LIU Xiaoyan
TANG Haitao
WANG Xiuzhong
PAN Hongnian
Related Factors and Risk Model Prediction of Pneumonia After ESD in Patients with Early Gastric Cancer
Zhongliu Fangzhi Yanjiu
early gastric cancer
esd
pneumonia
risk model prediction
title Related Factors and Risk Model Prediction of Pneumonia After ESD in Patients with Early Gastric Cancer
title_full Related Factors and Risk Model Prediction of Pneumonia After ESD in Patients with Early Gastric Cancer
title_fullStr Related Factors and Risk Model Prediction of Pneumonia After ESD in Patients with Early Gastric Cancer
title_full_unstemmed Related Factors and Risk Model Prediction of Pneumonia After ESD in Patients with Early Gastric Cancer
title_short Related Factors and Risk Model Prediction of Pneumonia After ESD in Patients with Early Gastric Cancer
title_sort related factors and risk model prediction of pneumonia after esd in patients with early gastric cancer
topic early gastric cancer
esd
pneumonia
risk model prediction
url http://html.rhhz.net/ZLFZYJ/html/8578.2019.19.0337.htm
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