Validation and modification of existing mortality prediction models for lower gastrointestinal bleeding: a retrospective study

Abstract Background Lower gastrointestinal bleeding (LGIB) often subsides without medical intervention; however, in some cases, the bleeding does not stop and the patient’s condition worsens. Therefore, predicting severe LGIB in advance can aid treatment. This study aimed to evaluate variables relat...

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Autores principales: Hyun Seok Lee, Hee Seok Moon, In Sun Kwon, Hyun Yong Jeong, Byung Seok Lee, Seok Hyun Kim, Eaum-Seok Lee, Jae Kyu Sung, Sun Hyung Kang
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Publicado: BMC 2021
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spelling oai:doaj.org-article:569e5193768a4b8bafb6cee1f14687192021-12-05T12:10:59ZValidation and modification of existing mortality prediction models for lower gastrointestinal bleeding: a retrospective study10.1186/s12876-021-02037-41471-230Xhttps://doaj.org/article/569e5193768a4b8bafb6cee1f14687192021-11-01T00:00:00Zhttps://doi.org/10.1186/s12876-021-02037-4https://doaj.org/toc/1471-230XAbstract Background Lower gastrointestinal bleeding (LGIB) often subsides without medical intervention; however, in some cases, the bleeding does not stop and the patient’s condition worsens. Therefore, predicting severe LGIB in advance can aid treatment. This study aimed to evaluate variables related to mortality from LGIB and propose a scoring system. Methods In this retrospective study, we reviewed the medical records of patients who visited the emergency room with hematochezia between January 2016 and December 2020. Through regression analysis of comorbidities, medications, vital signs, laboratory investigations, and duration of hospital stay, variables related to LGIB-related mortality were evaluated. A scoring system was developed and the appropriateness with an area under the receiver operating characteristics curve (AUROC) was evaluated and compared with other existing models. Results A total of 932 patients were hospitalized for LGIB. Variables associated with LGIB-related mortality were the presence of cancer, heart rate > 100 beats/min, blood urea nitrogen level ≥ 30 mg/dL, an international normalized ratio > 1.50, and albumin level ≤ 3.0 g/dL. The AUROCs of the models CNUH-4 and CNUH-5 were 0.890 (p < 0.001; cutoff, 2.5; 95% confidence interval, 0.0851–0.929) and 0.901 (p < 0.001; cutoff, 3.5; 95% confidence interval, 0.869–0.933), respectively. Conclusions The model developed for predicting the risk of LGIB-related mortality is simple and easy to apply clinically. The AUROC of the model was better than that of the existing models.Hyun Seok LeeHee Seok MoonIn Sun KwonHyun Yong JeongByung Seok LeeSeok Hyun KimEaum-Seok LeeJae Kyu SungSun Hyung KangBMCarticleLower gastrointestinal bleedinghematocheziaScoring systemMortality predictionDiseases of the digestive system. GastroenterologyRC799-869ENBMC Gastroenterology, Vol 21, Iss 1, Pp 1-8 (2021)
institution DOAJ
collection DOAJ
language EN
topic Lower gastrointestinal bleeding
hematochezia
Scoring system
Mortality prediction
Diseases of the digestive system. Gastroenterology
RC799-869
spellingShingle Lower gastrointestinal bleeding
hematochezia
Scoring system
Mortality prediction
Diseases of the digestive system. Gastroenterology
RC799-869
Hyun Seok Lee
Hee Seok Moon
In Sun Kwon
Hyun Yong Jeong
Byung Seok Lee
Seok Hyun Kim
Eaum-Seok Lee
Jae Kyu Sung
Sun Hyung Kang
Validation and modification of existing mortality prediction models for lower gastrointestinal bleeding: a retrospective study
description Abstract Background Lower gastrointestinal bleeding (LGIB) often subsides without medical intervention; however, in some cases, the bleeding does not stop and the patient’s condition worsens. Therefore, predicting severe LGIB in advance can aid treatment. This study aimed to evaluate variables related to mortality from LGIB and propose a scoring system. Methods In this retrospective study, we reviewed the medical records of patients who visited the emergency room with hematochezia between January 2016 and December 2020. Through regression analysis of comorbidities, medications, vital signs, laboratory investigations, and duration of hospital stay, variables related to LGIB-related mortality were evaluated. A scoring system was developed and the appropriateness with an area under the receiver operating characteristics curve (AUROC) was evaluated and compared with other existing models. Results A total of 932 patients were hospitalized for LGIB. Variables associated with LGIB-related mortality were the presence of cancer, heart rate > 100 beats/min, blood urea nitrogen level ≥ 30 mg/dL, an international normalized ratio > 1.50, and albumin level ≤ 3.0 g/dL. The AUROCs of the models CNUH-4 and CNUH-5 were 0.890 (p < 0.001; cutoff, 2.5; 95% confidence interval, 0.0851–0.929) and 0.901 (p < 0.001; cutoff, 3.5; 95% confidence interval, 0.869–0.933), respectively. Conclusions The model developed for predicting the risk of LGIB-related mortality is simple and easy to apply clinically. The AUROC of the model was better than that of the existing models.
format article
author Hyun Seok Lee
Hee Seok Moon
In Sun Kwon
Hyun Yong Jeong
Byung Seok Lee
Seok Hyun Kim
Eaum-Seok Lee
Jae Kyu Sung
Sun Hyung Kang
author_facet Hyun Seok Lee
Hee Seok Moon
In Sun Kwon
Hyun Yong Jeong
Byung Seok Lee
Seok Hyun Kim
Eaum-Seok Lee
Jae Kyu Sung
Sun Hyung Kang
author_sort Hyun Seok Lee
title Validation and modification of existing mortality prediction models for lower gastrointestinal bleeding: a retrospective study
title_short Validation and modification of existing mortality prediction models for lower gastrointestinal bleeding: a retrospective study
title_full Validation and modification of existing mortality prediction models for lower gastrointestinal bleeding: a retrospective study
title_fullStr Validation and modification of existing mortality prediction models for lower gastrointestinal bleeding: a retrospective study
title_full_unstemmed Validation and modification of existing mortality prediction models for lower gastrointestinal bleeding: a retrospective study
title_sort validation and modification of existing mortality prediction models for lower gastrointestinal bleeding: a retrospective study
publisher BMC
publishDate 2021
url https://doaj.org/article/569e5193768a4b8bafb6cee1f1468719
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