Patients presenting to the emergency department with pain: Relationship of pain intensity and vital signs with psychological variables

2013 ◽  
Author(s):  
Jessica J. White ◽  
Shweta Kapoor ◽  
Beverly E. Thorn
Keyword(s):  
Emergency Department ◽  
Pain Intensity ◽  
Vital Signs ◽  
Psychological Variables ◽  
Relationship Of

scholarly journals Associação entre sinais vitais e Sistema Manchester de Triagem: estudo observacional retrospectivo

2018 ◽  
Vol 16 (4) ◽  
pp. 379
Author(s):  
José Carlos Amado Martins ◽  
Helisamara Mota Guedes ◽  
Cristiane Chaves de Souza ◽  
Tânia Couto Machado Chianca
Keyword(s):  
Blood Pressure ◽  
Emergency Department ◽  
Heart Rate ◽  
Observational Study ◽  
Pain Intensity ◽  
Vital Signs ◽  
Manchester Triage System ◽  
Risk Levels ◽  
Exposure Factor ◽  
The Mean

Aim: To evaluate the association between vital signs collected at the patient's entrance to the emergency department and the risk levels of the Manchester Triage System (MTS). Method: This is a retrospective observational study; whose sample was 154,714 patients. The exposure factor was the vital signs data, and the primary endpoint was the level of risk of MTS. Statistical, descriptive and inferential analyzes were conducted. Results: The most evaluated vital data was pain intensity; blood pressure was the least evaluated. Changes in heart rate to more or less of physiological patterns have increased the clinical priority of patients. Discussion: The higher the level of severity of MTS, the greater the variability of the mean of the vital signs evaluated. Conclusion: More severe patients tend to present greater variation in terms of vital signs on admission to the emergency department.

scholarly journals Vital Signs Are Not Associated with Self-Reported Acute Pain Intensity in the Emergency Department

CJEM ◽  
2015 ◽  
Vol 18 (1) ◽  
pp. 19-27 ◽  
Author(s):  
Raoul Daoust ◽  
Jean Paquet ◽  
Benoit Bailey ◽  
Gilles Lavigne ◽  
Éric Piette ◽  
...  
Keyword(s):  
Emergency Department ◽  
Pain Intensity ◽  
Health Care Professionals ◽  
Vital Signs ◽  
Total Sample ◽  
Electronic Medical Record System ◽  
Fracture Dislocation ◽  
Record System ◽  
Significant Pain ◽  
The Difference

AbstractObjectivesThis study aimed to ascertain the association between self-reported pain intensity and vital signs in both emergency department (ED) patients and a subgroup of patients with diagnosed conditions known to produce significant pain.MethodsWe performed a retrospective analysis of real-time, archived data from an electronic medical record system at an urban teaching hospital and regional community hospital. We included consecutive ED patients ≥16 years old who had a self-reported pain intensity ≥1 as measured during triage, from March 2005 to December 2012. The primary outcome was vital signs for self-reported pain intensity levels (mild, moderate, severe) on an 11-point verbal numerical scale. Changes in pain intensity levels were also compared to variations in vital signs. Both analyses were repeated on a subgroup of patients with diagnosed conditions recognized to produce significant pain: fracture, dislocation, or renal colic.ResultsWe included 153,567 patients (mean age of 48.4±19.3 years; 55.5% women) triaged with pain (median intensity of 7/10±3). Of these, 8.9% of patients had diagnosed conditions recognized to produce significant pain. From the total sample, the difference between mild and severe pain categories was 2.7 beats/minutes (95% CI: 2.4−3.0) for heart rate and 0.13 mm Hg (95% CI: -0.26−0.52) for systolic blood pressure. These differences generated small effect sizes and were not clinically significant. Results were similar for patients who experienced changes in pain categories and for those conditions recognized to produce significant pain.ConclusionHealth care professionals cannot use vital signs to estimate or substantiate self-reported pain intensity levels or changes over time.

scholarly journals Development and validation of an early warning tool for sepsis and decompensation in children during emergency department triage

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Louis Ehwerhemuepha ◽  
Theodore Heyming ◽  
Rachel Marano ◽  
Mary Jane Piroutek ◽  
Antonio C. Arrieta ◽  
...  
Keyword(s):  
Emergency Department ◽  
Severe Sepsis ◽  
Early Warning ◽  
Characteristic Curve ◽  
Vital Signs ◽  
Warning System ◽  
Receiver Operator Characteristic Curve ◽  
Warning Signs ◽  
Gradient Boosting ◽  
Stochastic Gradient Boosting

AbstractThis study was designed to develop and validate an early warning system for sepsis based on a predictive model of critical decompensation. Data from the electronic medical records for 537,837 visits to a pediatric Emergency Department (ED) from March 2013 to December 2019 were collected. A multiclass stochastic gradient boosting model was built to identify early warning signs associated with death, severe sepsis, non-severe sepsis, and bacteremia. Model features included triage vital signs, previous diagnoses, medications, and healthcare utilizations within 6 months of the index ED visit. There were 483 patients who had severe sepsis and/or died, 1102 had non-severe sepsis, 1103 had positive bacteremia tests, and the remaining had none of the events. The most important predictors were age, heart rate, length of stay of previous hospitalizations, temperature, systolic blood pressure, and prior sepsis. The one-versus-all area under the receiver operator characteristic curve (AUROC) were 0.979 (0.967, 0.991), 0.990 (0.985, 0.995), 0.976 (0.972, 0.981), and 0.968 (0.962, 0.974) for death, severe sepsis, non-severe sepsis, and bacteremia without sepsis respectively. The multi-class macro average AUROC and area under the precision recall curve were 0.977 and 0.316 respectively. The study findings were used to develop an automated early warning decision tool for sepsis. Implementation of this model in pediatric EDs will allow sepsis-related critical decompensation to be predicted accurately after a few seconds of triage.

237 The Association of Pain Scores and Vital Signs in the Emergency Department

2011 ◽  
Vol 58 (4) ◽  
pp. S256
Author(s):  
J. Betcher ◽  
K. Kutsche ◽  
M. Ebadi-Tehrani ◽  
C. Springsteen ◽  
J. Phu ◽  
...  
Keyword(s):  
Emergency Department ◽  
Vital Signs ◽  
Pain Scores

scholarly journals Investigation of the Correlation between Postherpetic Itch and Neuropathic Pain over Time

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Rie Ishikawa ◽  
Masako Iseki ◽  
Rie Koga ◽  
Eiichi Inada
Keyword(s):  
Neuropathic Pain ◽  
Herpes Zoster ◽  
Pain Intensity ◽  
Visual Analog Scale ◽  
Analog Scale ◽  
Paindetect Questionnaire ◽  
Relationship Of ◽  
The Relationship ◽  
Over Time

Postherpetic itch (PHI), or herpes zoster itch, is an intractable and poorly understood disease. We targeted 94 herpes zoster patients to investigate their pain and itch intensities at three separate stages of the condition (acute, subacute, and chronic). We used painDETECT questionnaire (PDQ) scores to investigate the correlation between PHI and neuropathic pain. Seventy-six patients were able to complete follow-up surveys. The prevalence of PHI was 47/76 (62%), 28/76 (37%), and 34/76 (45%) at the acute, subacute, and chronic stages, respectively. PHI manifestation times and patterns varied. We investigated the relationship of PHI with neuropathic pain using the visual analog scale (VAS), which is a measure of pain intensity, and the PDQ, which is a questionnaire used to evaluate the elements of neuropathic pain. The VAS and PDQ scores did not differ significantly between PHI-positive and PHI-negative patients. A large neuropathic component was not found for herpes zoster itch, suggesting that neuropathic pain treatments may not able to adequately control the itch. Accordingly, we suggest that a more PHI-focused therapy is required to address this condition.

Determinants of pyelonephritis onset in patients with obstructive urolithiasis

2021 ◽  
pp. 039156032110352
Author(s):  
Georges Abi Tayeh ◽  
Ali Safa ◽  
Julien Sarkis ◽  
Marwan Alkassis ◽  
Nour Khalil ◽  
...  
Keyword(s):  
Emergency Department ◽  
Renal Colic ◽  
Demographic Data ◽  
Vital Signs ◽  
Kidney Injury ◽  
Stone Size ◽  
Positive Urine ◽  
Life Threatening ◽  
Fat Stranding ◽  
Obstructive Pyelonephritis

Background: Acute obstructive pyelonephritis due to urolithiasis represents a medico-surgical emergency that can lead to life-threatening complications. There are still no established factors that reliably predict progression toward acute pyelonephritis in patients presenting with a simple renal colic. Objective: To investigate clinical and paraclinical factors that are associated with the onset of acute obstructive pyelonephritis. Methods: Patients presenting to the emergency department for renal colic with obstructive urolithiasis on imaging were enrolled in the study. Demographic data, vital signs, medical comorbidities, blood test results, urinalysis, and radiological findings were recorded. Obstructive pyelonephritis was defined by the presence of two or more of the following criteria: fever, flank pain or costovertebral angle tenderness, and a positive urine culture. Results: Seventeen patients out of 120 presenting with renal colic, were diagnosed with acute obstructive pyelonephritis (14%). Parameters that were associated with the onset of obstructive pyelonephritis were: diabetes ( p = 0.03), elevated CRP ( p = 0.01), stone size (>5 mm) ( p = 0.03), dilatation of renal pelvis ( p = 0.01), peri-renal fat stranding ( p = 0.02), and positive nitrites on urinalysis ( p < 0.01). Hyperleukocytosis, acute kidney injury, multiple stones, pyuria (>10/mm3), hypertension, and were not associated with the onset of obstructive pyelonephritis. Conclusion: This study showed that known diabetic status, elevated CRP, positive urine nitrites, stone size (>5 mm), pyelic dilatation, and peri-renal fat stranding were associated with the onset of pyelonephritis in patients presenting to the emergency department with obstructive urolithiasis.

scholarly journals The association between abnormal vital sign groups and undesirable patient outcomes

2018 ◽  
Vol 25 (3) ◽  
pp. 137-145
Author(s):  
Marina Lee ◽  
David McD Taylor ◽  
Antony Ugoni
Keyword(s):  
Emergency Department ◽  
Confidence Interval ◽  
Patient Outcomes ◽  
Vital Sign ◽  
Odds Ratio ◽  
Medical Emergency Team ◽  
Vital Signs ◽  
Medical Emergency ◽  
Emergency Team ◽  
Abnormal Vital Sign

Introduction: To determine the association between both abnormal individual vital signs and abnormal vital sign groups in the emergency department, and undesirable patient outcomes: hospital admission, medical emergency team calls and death. Method: We undertook a prospective cohort study in a tertiary referral emergency department (February–May 2015). Vital signs were collected prospectively in the emergency department and undesirable outcomes from the medical records. The primary outcomes were undesirable outcomes for individual vital signs (multivariate logistic regression) and vital sign groups (univariate analyses). Results: Data from 1438 patients were analysed. Admission was associated with tachycardia, tachypnoea, fever, ≥1 abnormal vital sign on admission to the emergency department, ≥1 abnormal vital sign at any time in the emergency department, a persistently abnormal vital sign, and vital signs consistent with both sepsis (tachycardia/hypotension/abnormal temperature) and pneumonia (tachypnoea/fever) (p < 0.05). Medical emergency team calls were associated with tachycardia, tachypnoea, ≥1 abnormal vital sign on admission (odds ratio: 2.3, 95% confidence interval: 1.4–3.8), ≥2 abnormal vital signs at any time (odds ratio: 2.4, 95% confidence interval: 1.2–4.7), and a persistently abnormal vital sign (odds ratio: 2.7, 95% confidence interval: 1.6–4.6). Death was associated with Glasgow Coma Score ≤13 (odds ratio: 6.3, 95% confidence interval: 2.5–16.0), ≥1 abnormal vital sign on admission (odds ratio: 2.6, 95% confidence interval: 1.2–5.6), ≥2 abnormal vital signs at any time (odds ratio: 6.4, 95% confidence interval: 1.4–29.5), a persistently abnormal vital sign (odds ratio: 4.3, 95% confidence interval: 2.0–9.0), and vital signs consistent with pneumonia (odds ratio: 5.3, 95% confidence interval: 1.9–14.8). Conclusion: Abnormal vital sign groups are generally superior to individual vital signs in predicting undesirable outcomes. They could inform best practice management, emergency department disposition, and communication with the patient and family.

Sign in / Sign up

Export Citation Format

Share Document