Observational studyThe western journal of emergency medicine2015
Derivation and Validation of Predictive Factors for Clinical Deterioration after Admission in Emergency Department Patients Presenting with Abnormal Vital Signs Without Shock.
Observational study in The western journal of emergency medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 14 citations in OpenAlex.
- Smart emergency care: a narrative review of predictive machine learning models.Annals of translational medicine · 2025Review
- Early identification of high-risk patients admitted to emergency departments using vital signs and machine learning.World journal of emergency medicine · 2025Article
- Development of a machine learning-based clinical decision support system to predict clinical deterioration in patients visiting the emergency department.Scientific reports · 2023Article
- Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Adult Inpatients: Scoping Review.Journal of medical Internet research · 2022Article
- Potential predictors of hospital length of stay and hospital charges among patients with all-terrain vehicle injuries in rural Northeast Texas.Journal of injury & violence research · 2020Article
- Association of Vital Signs and Process Outcomes in Emergency Department Patients.The western journal of emergency medicine · 2019Article
- Repeated vital sign measurements in the emergency department predict patient deterioration within 72 hours: a prospective observational study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2018Observational
- A Sepsis-related Diagnosis Impacts Interventions and Predicts Outcomes for Emergency Patients with Severe Sepsis.The western journal of emergency medicine · 2017Observational
- Serum Lactate Predicts Adverse Outcomes in Emergency Department Patients With and Without Infection.The western journal of emergency medicine · 2017Observational
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
introductionStrategies to identify high-risk emergency department (ED) patients often use markedly abnormal vital signs and serum lactate levels. Risk stratifying such patients without using the presence of shock is challenging. The objective of the study is to identify independent predictors of in-hospital adverse outcomes in ED patients with abnormal vital signs or lactate levels, but who are not in shock.
methodsWe performed a prospective observational study of patients with abnormal vital signs or lactate level defined as heart rate ≥130 beats/min, respiratory rate ≥24 breaths/min, shock index ≥1, systolic blood pressure <90 mm/Hg, or lactate ≥4 mmole/L. We excluded patients with isolated atrial tachycardia, seizure, intoxication, psychiatric agitation, or tachycardia due to pain (ie: extremity fracture). The primary outcome was deterioration, defined as development of acute renal failure (creatinine 2× baseline), non-elective intubation, vasopressor requirement, or mortality. Independent predictors of deterioration after hospitalization were determined using logistic regression.
resultsOf 1,152 consecutive patients identified with abnormal vital signs or lactate level, 620 were excluded, leaving 532 for analysis. Of these, 53/532 (9.9±2.5%) deteriorated after hospital admission. Independent predictors of in-hospital deterioration were: lactate >4.0 mmol/L (OR 5.1, 95% CI [2.1-12.2]), age ≥80 yrs (OR 1.9, CI [1.0-3.7]), bicarbonate <21 mEq/L (OR 2.5, CI [1.3-4.9]), and initial HR≥130 (OR 3.1, CI [1.5-6.1]).
conclusionPatients exhibiting abnormal vital signs or elevated lactate levels without shock had significant rates of deterioration after hospitalization. ED clinical data predicted patients who suffered adverse outcomes with reasonable reliability.
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