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血便の循環動態不安定時のアルゴリズム

血便の高リスク時には緊急検査を行う。その際に、上部消化管出血の可能性を考慮する。状態に応じて検査法を使い分ける。
JAMA Netw Open. 2020 Jul 1;3(7):e209630を元に筆者が作成
出典
img
1: 著者提供

Oakland score

出典
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1: External Validation of the Oakland Score to Assess Safe Hospital Discharge Among Adult Patients With Acute Lower Gastrointestinal Bleeding in the US.
著者: Kathryn Oakland, Sandeepkumar Kothiwale, Tyler Forehand, Edmund Jackson, Cliff Bucknall, Michael S L Sey, Siddharth Singh, Vipul Jairath, Jonathan Perlin
雑誌名: JAMA Netw Open. 2020 Jul 1;3(7):e209630. doi: 10.1001/jamanetworkopen.2020.9630. Epub 2020 Jul 1.
Abstract/Text: IMPORTANCE: Lower gastrointestinal bleeding (LGIB), which manifests as blood in the colon or anorectum, is a common reason for hospitalization. In most patients, LGIB stops spontaneously with no in-hospital intervention. A risk score that could identify patients at low risk of experiencing adverse outcomes could help improve the triage process and allow greater numbers of patients to receive outpatient management of LGIB.
OBJECTIVE: To externally validate the Oakland Score, which was previously developed using a score threshold of 8 points to identify patients with LGIB who are at low risk of adverse outcomes.
DESIGN, SETTING, AND PARTICIPANTS: This multicenter prognostic study was conducted in 140 US hospitals in the Hospital Corporation of America network. A total of 46 179 adult patients (aged ≥16 years) admitted to the hospital with a primary diagnosis of LGIB between June 1, 2016, and October 15, 2018, were initially identified using diagnostic codes. Of those, 51 patients were excluded because they were more likely to have upper gastrointestinal bleeding, leaving a study population of 46 128 patients with LGIB. For the statistical analysis of the Oakland Score, an additional 8061 patients were excluded because they were missing data on Oakland Score components or clinical outcomes, resulting in 38 067 patients included in the analysis. The study used area under the receiver operating characteristic curves with 95% CIs for external validation of the model. Sensitivity and specificity were calculated for each score threshold (≤8 points, ≤9 points, and ≤10 points). Data were analyzed from October 16, 2018, to September 4, 2019.
MAIN OUTCOMES AND MEASURES: Identification of patients who met the criteria for safe discharge from the hospital and comparison of the performance of 2 score thresholds (≤8 points vs ≤10 points). Safe discharge was defined as the absence of blood transfusion, rebleeding, hemostatic intervention, hospital readmission, and death.
RESULTS: Among 46 128 adult patients with LGIB, the mean (SD) age was 70.1 (16.5) years; 23 091 patients (50.1%) were female. Of those, 22 074 patients (47.9%) met the criteria for safe discharge from the hospital. In this group, the mean (SD) age was 67.9 (18.1) years, and 11 056 patients (50.1%) were female. In the statistical analysis of the Oakland Score, which included only the 38 067 patients with complete data, the area under the receiver operating characteristic curve for safe discharge was 0.87 (95% CI, 0.87-0.87). An Oakland Score threshold of 8 points or lower identified 3305 patients (8.7%), with a sensitivity and specificity for safe discharge of 98.4% and 16.0%, respectively. Extension of the Oakland Score threshold to 10 points or lower identified 6770 patients (17.8%), with a sensitivity and specificity for safe discharge of 96.0% and 31.9%, respectively.
CONCLUSIONS AND RELEVANCE: In this study, the Oakland Score consistently identified patients with acute LGIB who were at low risk of experiencing adverse outcomes and whose conditions could safely be managed without hospitalization. The score threshold to identify low-risk patients could be extended from 8 points or lower to 10 points or lower to allow identification of a greater proportion of low-risk patients.
JAMA Netw Open. 2020 Jul 1;3(7):e209630. doi: 10.1001/jamanetworkopen....

下部消化管出血の予後不良因子

[1]:Kollef MH, O’Brien JD, Zuckerman GR, Shannon W. BLEED: a classification tool to predict outcomes in patients with acute upper and lower gastrointestinal hemorrhage. Crit Care Med 1997; 25: 1125–32
[2]:Strate LL, Orav EJ, Syngal S. Early predictors of severity in acute lower intestinal tract bleeding. Arch Intern Med 2003; 163: 838–43.
[3]:Strate LL, Saltzman JR, Ookubo R, Mutinga ML, Syngal S. Validation of a clinical prediction rule for severe acute lower intestinal bleeding. Am J Gastroenterol 2005; 100: 1821–7.
[4]:Velayos FS, Williamson A, Sousa KH, et al. Early predictors of severe lower gastrointestinal bleeding and adverse outcomes: a prospective study. Clin Gastroenterol Hepatol 2004; 2: 485–90.
[5]:Newman J, Fitzgerald JEF, Gupta S, von Roon AC, Sigurdsson HH, Allen-Mersh TG. Outcome predictors in acute surgical admissions for lower gastrointestinal bleeding. Colorectal Dis 2012; 14: 1020–6.
出典
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1: ACG Clinical Guideline: Management of Patients With Acute Lower Gastrointestinal Bleeding.
Am J Gastroenterol. 2016 May;111(5):755. doi: 10.1038/ajg.2016.155.

血便の評価と対応アルゴリズム

JAMA Netw Open. 2020 Jul 1;3(7):e209630を元に筆者が作成
出典
img
1: 著者提供

血便の循環動態不安定時のアルゴリズム

血便の高リスク時には緊急検査を行う。その際に、上部消化管出血の可能性を考慮する。状態に応じて検査法を使い分ける。
JAMA Netw Open. 2020 Jul 1;3(7):e209630を元に筆者が作成
出典
img
1: 著者提供

Oakland score

出典
imgimg
1: External Validation of the Oakland Score to Assess Safe Hospital Discharge Among Adult Patients With Acute Lower Gastrointestinal Bleeding in the US.
著者: Kathryn Oakland, Sandeepkumar Kothiwale, Tyler Forehand, Edmund Jackson, Cliff Bucknall, Michael S L Sey, Siddharth Singh, Vipul Jairath, Jonathan Perlin
雑誌名: JAMA Netw Open. 2020 Jul 1;3(7):e209630. doi: 10.1001/jamanetworkopen.2020.9630. Epub 2020 Jul 1.
Abstract/Text: IMPORTANCE: Lower gastrointestinal bleeding (LGIB), which manifests as blood in the colon or anorectum, is a common reason for hospitalization. In most patients, LGIB stops spontaneously with no in-hospital intervention. A risk score that could identify patients at low risk of experiencing adverse outcomes could help improve the triage process and allow greater numbers of patients to receive outpatient management of LGIB.
OBJECTIVE: To externally validate the Oakland Score, which was previously developed using a score threshold of 8 points to identify patients with LGIB who are at low risk of adverse outcomes.
DESIGN, SETTING, AND PARTICIPANTS: This multicenter prognostic study was conducted in 140 US hospitals in the Hospital Corporation of America network. A total of 46 179 adult patients (aged ≥16 years) admitted to the hospital with a primary diagnosis of LGIB between June 1, 2016, and October 15, 2018, were initially identified using diagnostic codes. Of those, 51 patients were excluded because they were more likely to have upper gastrointestinal bleeding, leaving a study population of 46 128 patients with LGIB. For the statistical analysis of the Oakland Score, an additional 8061 patients were excluded because they were missing data on Oakland Score components or clinical outcomes, resulting in 38 067 patients included in the analysis. The study used area under the receiver operating characteristic curves with 95% CIs for external validation of the model. Sensitivity and specificity were calculated for each score threshold (≤8 points, ≤9 points, and ≤10 points). Data were analyzed from October 16, 2018, to September 4, 2019.
MAIN OUTCOMES AND MEASURES: Identification of patients who met the criteria for safe discharge from the hospital and comparison of the performance of 2 score thresholds (≤8 points vs ≤10 points). Safe discharge was defined as the absence of blood transfusion, rebleeding, hemostatic intervention, hospital readmission, and death.
RESULTS: Among 46 128 adult patients with LGIB, the mean (SD) age was 70.1 (16.5) years; 23 091 patients (50.1%) were female. Of those, 22 074 patients (47.9%) met the criteria for safe discharge from the hospital. In this group, the mean (SD) age was 67.9 (18.1) years, and 11 056 patients (50.1%) were female. In the statistical analysis of the Oakland Score, which included only the 38 067 patients with complete data, the area under the receiver operating characteristic curve for safe discharge was 0.87 (95% CI, 0.87-0.87). An Oakland Score threshold of 8 points or lower identified 3305 patients (8.7%), with a sensitivity and specificity for safe discharge of 98.4% and 16.0%, respectively. Extension of the Oakland Score threshold to 10 points or lower identified 6770 patients (17.8%), with a sensitivity and specificity for safe discharge of 96.0% and 31.9%, respectively.
CONCLUSIONS AND RELEVANCE: In this study, the Oakland Score consistently identified patients with acute LGIB who were at low risk of experiencing adverse outcomes and whose conditions could safely be managed without hospitalization. The score threshold to identify low-risk patients could be extended from 8 points or lower to 10 points or lower to allow identification of a greater proportion of low-risk patients.
JAMA Netw Open. 2020 Jul 1;3(7):e209630. doi: 10.1001/jamanetworkopen....