Can I Discharge This Adult Patient with Abnormal Vital Signs From the Emergency Department?

BACKGROUND

Vital signs are an essential component of the emergency department (ED) assessment. Vital sign abnormalities are associated with adverse events in the ED setting and may indicate a risk of poor outcomes after ED discharge.

CLINICAL QUESTION

What is the risk of adverse events among adult patients with abnormal vital signs at the time of ED discharge?

EVIDENCE REVIEW

Studies retrieved included 6 retrospective studies with adult patients discharged from the ED. These studies evaluated adverse outcomes in adult patients discharged from the ED with abnormal vital signs. Hypotension at discharge was associated with the highest odds of adverse events after discharge. Tachycardia was also a key predictor of adverse events after discharge and may be easily missed by ED clinicians.

CONCLUSION

Based on the available evidence, the specific vital sign abnormality and the number of total abnormalities influence the risk of adverse outcomes after discharge. Vital sign abnormalities at the time of discharge also increase the risk of ED revisit. The most common abnormal vital sign at the time of discharge is tachycardia.

Early Diagnosis of Pulmonary Embolism Related to Clinical Presentation and Vital Signs in the Emergency Department at King Saud Medical City

Background: Pulmonary embolism (PE) is a common acute life-threatening cardiovascular disorder. It is the third most common cause of hospital-related death and early detection and management of PE are crucial. The study aimed to evaluate the association between vital signs and laboratory investigations with PE.

Methods: This is a retrospective, hospital records-based, observational study, conducted among patients who were admitted to the emergency department of King Saud Medical City in Riyadh, Saudi Arabia with a suspected diagnosis of PE during the period of March 2021 to March 2022. Data were collected by searching patients’ files and recording demographic data, and information about the clinical presentation, workup, and outcome. Data were entered and analyzed using SPSS version 26 (IBM, Armonk, NY), utilizing Chi-square statistics to test differences between groups, and logistic regression analyses to identify predictors of PE.

Results: The study included 92 patients, with a preponderance of females (70.7%), and those aged 40-60 years (51.1%). Diabetes mellitus (44.6%), and hypertension (30.4%) were the most common comorbidities among others, while shortness of breath (SOB) (83.7%), and chest pain (44.6%) were among the most commonly reported symptoms. A majority of patients had tachycardia (64.1%), while about half had low oxygen saturation (51.5%), and nearly one-third had tachypnea (29.3%), which was more predominant among those not diagnosed with PE. Logistic regression analysis revealed that SOB, respiratory rate, and oxygen saturation were the only significant predictors of PE.

Conclusion: Although being an integral part of the initial assessment in the hospital, measuring the vital signs is not always reflective of the likelihood of PE, and they should not be the only metric relied upon to make decisions about treatment approaches in patients with PE. Physicians should ensure the employment of evidence-based clinical prediction rules and guidelines when diagnosing and managing PE.

Weather and prehospital predictors of trauma patient mortality in a rural American state

Introduction

In rural settings, factors like weather and location can significantly impact total prehospital time and survival after injury. We sought to determine what prehospital conditions affect mortality and morbidity in severely injured patients.

Materials and methods

We retrospectively evaluated adult trauma patients that were admitted to our level 1 trauma center with Glasgow Coma Score (GCS≤ 9), hypotension (SBP≤ 90 mmHg), or both. Weather and prehospital conditions on patient outcomes were evaluated. Weather data was extracted from the National Oceanographic and Atmospheric Administration public database. Prediction models were done using bivariate and multivariate logistic regression analysis.

Results

A total of 442 subjects were captured, Median time on the scene was 15 min  [IQR =10, 20.5], with median time to definitive care 129 min  [IQR= 61, 247]. Hypotension in the field was the greatest predictor of ED mortality (OR=11, P = 0.004), and field hypoxia (OR=3, P = 0.007) was a predictor of in-hospital mortality. Patients with field GCS ≤ 9 had higher odds of ICU admission (OR=2, P = 0.029). Among transfers, increasing prehospital time correlated with ED mortality while injury during warmer weather showed lower odds (OR =0.94, P = 0.019) of mortality. No weather condition predicted mortality for patients that presented directly from the field.

Conclusion

Among severely injured patients being injured during cold weather was associated with higher in-hospital mortality among trauma transfer patients. Prehospital hypotension, hypoxia, and GCS≤9 are also independent predictors of mortality. Future analysis will explore factors impacting transport and field time in order to improve outcomes.