Dataset Information

Novel risk score for acute upper gastrointestinal bleeding in elderly patients: a single-centre retrospective study.

ABSTRACT:

Objectives

Acute upper gastrointestinal bleeding (UGIB) is a common reason for emergency hospital admission. Identifying low-risk patients suitable for outpatient management is a clinical and research priority. This study aimed to develop a simple risk score to identify elderly patients with UGIB for whom hospital admission is not required.

Design

This was a single-centre retrospective study.

Setting

This study was conducted at Zhongda Hospital affiliated with Southeast University in China.

Participants

Patients from January 2015 to December 2020 for the derivation cohort and from January 2021 to June 2022 for the validation cohort were enrolled in this study. A total of 822 patients (derivation cohort=606 and validation cohorts=216) were included in this study. Patients aged ≥65 years with coffee-grounds vomiting, melena or/and haematemesis were included in the analysis. Patients admitted but had UGIB or transferred between hospitals were excluded.

Methods

Baseline demographic characteristics and clinical parameters were recorded at the first visit. Data were collected from electronic records and databases. Multivariable logistic regression modelling was performed to identify predictors of safe discharge.

Results

304/606 (50.2%) and 132/216 (61.1%) patients were not safely discharged in the derivation and validation cohorts, respectively. A clinical risk score of five variables was entered into UGIB risk stratification: Charlson Comorbidity Index >2, systolic blood pressure <100 mm Hg, haemoglobin <100 g/L, blood urea nitrogen ≥6.5 mmol/L, albumin <30 g/L. The optimal cut-off value was ≥1, the sensitivity was 97.37% and the specificity was 19.21% for predicting the inability to discharge safely. The area under the receiver operating characteristic curve was 0.806.

Conclusions

A novel clinical risk score with good discriminative performance was developed to identify elderly patients with UGIB who were suitable for safe outpatient management. This score can reduce unnecessary hospitalisations.

SUBMITTER: Li Y

PROVIDER: S-EPMC10254786 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

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Publications

Novel risk score for acute upper gastrointestinal bleeding in elderly patients: a single-centre retrospective study.

Li Yajie Y Lu Qin Q Song Mingyang M Wu Kexuan K Ou Xilong X

BMJ open 20230607 6

<h4>Objectives</h4>Acute upper gastrointestinal bleeding (UGIB) is a common reason for emergency hospital admission. Identifying low-risk patients suitable for outpatient management is a clinical and research priority. This study aimed to develop a simple risk score to identify elderly patients with UGIB for whom hospital admission is not required.<h4>Design</h4>This was a single-centre retrospective study.<h4>Setting</h4>This study was conducted at Zhongda Hospital affiliated with Southeast Uni ...[more]

PMID: 37286320

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Project description:BackgroundUpper gastrointestinal bleeding is a common presentation in emergency departments and carries significant morbidity worldwide. It is paramount that treating physicians have access to tools that can effectively evaluate the patient risk, allowing quick and effective treatments to ultimately improve their prognosis. This study aims to establish a mortality risk assessment model for patients with acute upper gastrointestinal bleeding at an emergency department.MethodsA total of 991 patients presenting with acute upper gastrointestinal bleeding between July 2016 and June 2019 were enrolled in this retrospective single-center cohort study. Patient demographics, parameters assessed at admission, laboratory test, and clinical interventions were extracted. We used the least absolute shrinkage and selection operator regression to identify predictors for establishing a nomogram for death in the emergency department or within 24 h after leaving the emergency department and a corresponding nomogram. The area under the curve of the model was calculated. A bootstrap resampling method was used to internal validation, and decision curve analysis was applied for evaluate the clinical utility of the model. We also compared our predictive model with other prognostic models, such as AIMS65, Glasgow-Blatchford bleeding score, modified Glasgow-Blatchford bleeding score, and Pre-Endoscopic Rockall Score.ResultsAmong 991 patients, 41 (4.14%) died in the emergency department or within 24 h after leaving the emergency department. Five non-zero coefficient variables (transfusion of plasma, D-dimer, albumin, potassium, age) were filtered by the least absolute shrinkage and selection operator regression analysis and used to establish a predictive model. The area under the curve for the model was 0.847 (95% confidence interval [0.794-0.900]), which is higher than that of previous models for mortality of patients with acute upper gastrointestinal bleeding. The decision curve analysis indicated the clinical usefulness of the model.ConclusionsThe nomogram based on transfusion of plasma, D-dimer, albumin, potassium, and age effectively assessed the prognosis of patients with acute upper gastrointestinal bleeding presenting at the emergency department.

Project description:BackgroundUpper gastrointestinal (GI) bleeding is one of the most common, high risk emergency disorders in the western world. Almost nothing has been reported on longer term prognosis following upper GI bleeding. The aim of this study was to establish mortality up to three years following hospital admission with upper GI bleeding and its relationship with aetiology, co-morbidities and socio-demographic factors.MethodsSystematic record linkage of hospital inpatient and mortality data for 14 212 people in Wales, UK, hospitalised with upper GI bleeding between 1999 and 2004 with three year follow-up to 2007. The main outcome measures were mortality rates, standardised mortality ratios (SMRs) and relative survival.ResultsMortality at three years was 36.7% overall, based on 5215 fatalities. It was highest for upper GI malignancy (95% died within three years) and varices (52%). Compared with the general population, mortality was increased 27-fold during the first month after admission. It fell to 4.3 by month four, but remained significantly elevated during every month throughout the three years following admission. The most important independent prognostic predictors of mortality at three years were older age (mortality increased 53 fold for people aged 85 years and over compared with those under 40 years); oesophageal and gastric/duodenal malignancy (48 and 32 respectively) and gastric varices aetiologies (2.8) when compared with other bleeds; non-upper GI malignancy, liver disease and renal failure co-morbidities (15, 7.9 and 3.9); social deprivation (29% increase for quintile V vs I); incident bleeds as an inpatient (31% vs admitted with bleeding) and male patients (25% vs female).ConclusionOur study shows a high late as well as early mortality for upper GI bleeding, with very poor longer term prognosis following bleeding due to malignancies and varices. Aetiologies with the worst prognosis were often associated with high levels of social deprivation.

Project description:BackgroundGastrointestinal bleeding (GIB) is a common and often serious complication after stroke. Although several risk factors for post-stroke GIB have been identified, no reliable or validated scoring system is currently available to predict GIB after acute stroke in routine clinical practice or clinical trials. In the present study, we aimed to develop and validate a risk model (acute ischemic stroke associated gastrointestinal bleeding score, the AIS-GIB score) to predict in-hospital GIB after acute ischemic stroke.MethodsThe AIS-GIB score was developed from data in the China National Stroke Registry (CNSR). Eligible patients in the CNSR were randomly divided into derivation (60%) and internal validation (40%) cohorts. External validation was performed using data from the prospective Chinese Intracranial Atherosclerosis Study (CICAS). Independent predictors of in-hospital GIB were obtained using multivariable logistic regression in the derivation cohort, and β-coefficients were used to generate point scoring system for the AIS-GIB. The area under the receiver operating characteristic curve (AUROC) and the Hosmer-Lemeshow goodness-of-fit test were used to assess model discrimination and calibration, respectively.ResultsA total of 8,820, 5,882, and 2,938 patients were enrolled in the derivation, internal validation and external validation cohorts. The overall in-hospital GIB after AIS was 2.6%, 2.3%, and 1.5% in the derivation, internal, and external validation cohort, respectively. An 18-point AIS-GIB score was developed from the set of independent predictors of GIB including age, gender, history of hypertension, hepatic cirrhosis, peptic ulcer or previous GIB, pre-stroke dependence, admission National Institutes of Health stroke scale score, Glasgow Coma Scale score and stroke subtype (Oxfordshire). The AIS-GIB score showed good discrimination in the derivation (0.79; 95% CI, 0.764-0.825), internal (0.78; 95% CI, 0.74-0.82) and external (0.76; 95% CI, 0.71-0.82) validation cohorts. The AIS-GIB score was well calibrated in the derivation (P = 0.42), internal (P = 0.45) and external (P = 0.86) validation cohorts.ConclusionThe AIS-GIB score is a valid clinical grading scale to predict in-hospital GIB after AIS. Further studies on the effect of the AIS-GIB score on reducing GIB and improving outcome after AIS are warranted.

Dataset Information

Novel risk score for acute upper gastrointestinal bleeding in elderly patients: a single-centre retrospective study.

Objectives

Design

Setting

Participants

Methods

Results

Conclusions

Publications

Novel risk score for acute upper gastrointestinal bleeding in elderly patients: a single-centre retrospective study.

Similar Datasets

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