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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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) |
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Lower gastrointestinal bleeding hematochezia Scoring system Mortality prediction Diseases of the digestive system. Gastroenterology RC799-869 |
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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 |
work_keys_str_mv |
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