Illness representations, psychological distress and non-cardiac chest pain in patients attending an emergency department.
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ABSTRACT:
SUBMITTER: Webster R
PROVIDER: S-EPMC4192860 | biostudies-other | 2014
REPOSITORIES: biostudies-other
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Project description:Chest pain is a common reason for patients to present to an emergency department (ED). It is crucial not to miss presentations of the potentially life-threatening acute coronary syndrome (ACS), although often these people present with a non-diagnostic ECG. This makes recognition of a history consistent with ACS very important. We noted inconsistencies in assessment, with many admissions to cardiology beds who did not prove to have ACS and some erroneous discharges who subsequently did have an ACS. We introduced a history based risk tool as part of a chest pain pathway into the ED for use by medical staff assessing patients presenting with chest pain. The intervention involved a nurse from cardiology engaging with clerical, nursing, and medical staff in the ED to ensure success of this quality improvement project. The project showed a reduction in admissions to cardiology with suspected ACS from 29% to 15%, with a projected saving of £889 per patient who was prevented from being admitted. In addition, admissions became more appropriate, with an increase in the proportion of patients with a final diagnosis of ACS from 25% to 46% and a reduction in admissions with atypical chest pain from 75% to 54%.
| S-EPMC4645935 | biostudies-literature
Project description:It is important that patients with symptoms of acute coronary syndrome receive appropriate medical care as soon as possible. Little is known about the preadmission actions that patients with chest pain take before arrival at the Emergency Department (ED).This study aimed to describe the actions of patients with chest pain or pressure after onset of symptoms. What is the first action following onset of symptoms? Who is the first lay or professional person to be contacted? Which steps are taken first? How is the patient transported to the hospital?Consecutive patients, arriving at the ED of two large hospitals in Belgium, were asked additional questions during the initial assessment.Overall, 35% of 412 consecutive patients with chest pain admitted to the ED were diagnosed with acute coronary syndrome. A total of 57% contacted a GP between symptom onset and arrival at the ED. Only 32% of the patients were transported to the ED by ambulance, 16% drove themselves and 52% arrived by other means of transport (by family, neighbour, GP, public transport).In Belgium, the GP is still the first professional to be contacted for most patients. Other patients initially rely on their partner, family or friends when symptoms emerge. Too often, patients with chest pain rely on other transport to get to the ED instead of calling the Emergency Medical Services. This study included only patients who ultimately attended the ED.
| S-EPMC5671801 | biostudies-other
Project description:BACKGROUND:A big-data-driven and artificial intelligence (AI) with machine learning (ML) approach has never been integrated with the hospital information system (HIS) for predicting major adverse cardiac events (MACE) in patients with chest pain in the emergency department (ED). Therefore, we conducted the present study to clarify it. METHODS:In total, 85,254 ED patients with chest pain in three hospitals between 2009 and 2018 were identified. We randomized the patients into a 70%/30% split for ML model training and testing. We used 14 clinical variables from their electronic health records to construct a random forest model with the synthetic minority oversampling technique preprocessing algorithm to predict acute myocardial infarction (AMI) <?1?month and all-cause mortality <?1?month. Comparisons of the predictive accuracies among random forest, logistic regression, support-vector clustering (SVC), and K-nearest neighbor (KNN) models were also performed. RESULTS:Predicting MACE using the random forest model produced areas under the curves (AUC) of 0.915 for AMI <?1?month and 0.999 for all-cause mortality <?1?month. The random forest model had better predictive accuracy than logistic regression, SVC, and KNN. We further integrated the AI prediction model with the HIS to assist physicians with decision-making in real time. Validation of the AI prediction model by new patients showed AUCs of 0.907 for AMI <?1?month and 0.888 for all-cause mortality <?1?month. CONCLUSIONS:An AI real-time prediction model is a promising method for assisting physicians in predicting MACE in ED patients with chest pain. Further studies to evaluate the impact on clinical practice are warranted.
| S-EPMC7488862 | biostudies-literature
Project description:Background More than 4 million cardiac noninvasive diagnostic tests are performed annually in the United States. However, questions remain regarding their effectiveness in improving clinical outcomes. We sought to evaluate whether noninvasive diagnostic tests were associated with lower rates of myocardial infarction or cardiovascular death when compared with no testing. Methods and Results We performed a retrospective, population-based cohort study of adults evaluated for chest pain and discharged home from an emergency department in Ontario, Canada. Propensity score matching was employed to reduce confounding between the testing and nontesting groups. There were 370 863 patients evaluated in our cohort. Rates of the composite outcome were low for both groups after propensity-score matching (0.29% and 0.78% for the nontesting group at 90 days and 1 year, respectively, and 0.34% and 0.68% for the noninvasive diagnostic test group at 90 days and 1 year respectively). Over 1 year, patients undergoing noninvasive diagnostic testing had a small but statistically significant lower hazard of developing the composite outcome of myocardial infarction or cardiovascular mortality (hazard ratio, 0.87; 95% CI, 0.78-0.96 [P<0.01]), which appears to be driven by the high-risk subgroup (hazard ratio, 0.75; 95% CI, 0.61-0.92 [P<0.01]). Conclusions We report a lower observed rate of the composite outcome of cardiovascular death or myocardial infarction associated with noninvasive diagnostic testing following evaluation for chest pain in the emergency department. This lower rate was driven by the high-risk subgroup. These results suggest that risk-based testing should be considered for patients discharged from the emergency department for chest pain.
| S-EPMC6898808 | biostudies-literature
Project description:The management of patients with chest pain is a common and challenging clinical problem. Although most of these patients do not have a life-threatening condition, the clinician must distinguish between those who require urgent management of a serious problem such as acute coronary syndrome (ACS) and those with more benign entities who do not require admission. Although clinical judgment continues to be paramount in meeting this challenge, new diagnostic modalities have been developed to assist in risk stratification. These include markers of cardiac injury, risk scores, early stress testing, and noninvasive imaging of the heart. The basic clinical tools of history, physical examination, and electrocardiography are currently widely acknowledged to allow early identification of low-risk patients who have less than 5% probability of ACS. These patients are usually initially managed in the emergency department and transitioned to further outpatient evaluation or chest pain units. Multiple imaging strategies have been investigated to accelerate diagnosis and to provide further risk stratification of patients with no initial evidence of ACS. These include rest myocardial perfusion imaging, rest echocardiography, computed tomographic coronary angiography, and cardiac magnetic resonance imaging. All have very high negative predictive values for excluding ACS and have been successful in reducing unnecessary admissions for patients at low to intermediate risk of ACS. As patients with acute chest pain transition from the evaluation in the emergency department to other outpatient settings, it is important that all clinicians involved in the care of these patients understand the tools used for assessment and risk stratification.
| S-EPMC2843115 | biostudies-literature
Project description:Despite good physical prognosis, patients who receive a diagnosis of non-cardiac chest pain (NCCP) may experience persistent pain and distress. While cognitive-behavioural interventions have been found to be effective for this group, they are difficult to deliver in busy emergency department (ED) settings. Addressing the acceptability and relevance of self-help interventions is an important initial step in addressing this need. This study sought to examine the acceptability and relevance of an evidence-based self-help intervention for ED patients with persistent NCCP and anxiety. Patient (interviews: N = 11) and specialist chest pain nurse (focus group: N = 4) views on acceptability and feasibility were examined. Data were analysed using thematic analysis. Patients and nurses reported that there was a need for the intervention, as stress and anxiety are common among patients with NCCP, and provision of psychosocial support is currently lacking. Both patients and nurses reported that the intervention was relevant, acceptable, and potentially useful. Some changes to the intervention were suggested. Nurses reported that the intervention could be used within the existing staff resources available in an ED setting. This study represents an important first step towards developing a brief self-help intervention for ED patients with NCCP and anxiety. Further research should seek to determine the efficacy of the intervention in a pilot trial.
| S-EPMC5105082 | biostudies-other
Project description:The aim of this study was to assess the frequency of chest pain presentations and the subsequent non-cardiac chest pain diagnoses in an emergency department (ED) over a 3 year period.Administrative data on ED attendances to an urban general hospital in Northern Ireland between March 2013 and March 2016 were used. Data were coded and analysed to estimate frequencies of 'chest pain' presentation and the subsequent diagnoses for each year.Both chest pain presentations and chest pain presentations with a subsequent diagnosis of unknown cause increased each year. In total, 58.7% of all chest presentations across 3 years resulted in a non-cardiac diagnosis of either 'anxiety', 'panic' or 'chest pain of unknown cause'.There is a significant amount of patients in the ED leaving with a non-cardiac diagnosis, following an initial presentation with chest pain.Given the link between non-cardiac chest pain and frequent use of services, the degree of repeat attendance should be investigated.
| S-EPMC5550987 | biostudies-other
Project description:The sensitivity of triage systems in identifying acute cardiovascular events in patients presented to the emergency department with chest pain is not optimal. Recently, a clinical score, the Emergency Department Assessment of Chest Pain Score (EDACS), has been proposed for a rapid assessment without additional instruments. To evaluate whether the integration of EDACS into triage evaluation of patients with chest pain can improve the triage's predictive validity for an acute cardiovascular event, a single-center prospective observational study was conducted. This study involved all patients who needed a triage admission for chest pain between January 1, 2020, and December 31, 2020. All enrolled patients first underwent a standard triage assessment and then the EDACS was calculated. The primary outcome of the study was the presence of an acute cardiovascular event. The discriminatory ability of EDACS in triage compared with standard triage assessment was evaluated by comparing the areas under the receiver operating characteristic curve, decision curve analysis, and net reclassification improvement. The study involved 1,596 patients, of that 7.3% presented the study outcome. The discriminatory ability of triage presented an area under the receiver operating characteristic curve of 0.688 that increased to 0.818 after the application of EDACS in the triage assessment. EDACS improved the baseline assessment of priority assigned in triage, with a net reclassification improvement of 33.6% (p <0.001), and the decision curve analyses demonstrated that EDACS in triage resulted in a clear net clinical benefit. In conclusion, the results of the study suggest that EDACS has a good discriminatory capacity for acute cardiovascular events and that its implementation in routine triage may improve triage performance in patients with chest pain.
| S-EPMC9336201 | biostudies-literature
Project description:ImportanceNoninvasive testing and coronary angiography are used to evaluate patients who present to the emergency department (ED) with chest pain, but their effects on outcomes are uncertain.ObjectiveTo determine whether cardiovascular testing-noninvasive imaging or coronary angiography-is associated with changes in the rates of coronary revascularization or acute myocardial infarction (AMI) admission in patients who present to the ED with chest pain without initial findings of ischemia.Design, setting, and participantsThis retrospective cohort analysis used weekday (Monday-Thursday) vs weekend (Friday-Sunday) presentation as an instrument to adjust for unobserved case-mix variation (selection bias) between 2011 and 2012. National claims data (Truven MarketScan) was used. The data included a total of 926 633 privately insured patients ages 18 to 64 years who presented to the ED with chest pain without initial diagnosis consistent with acute ischemia.ExposuresNoninvasive testing or coronary angiography within 2 days or 30 days of presentation.Main outcomes and measuresThe primary end points were coronary revascularization (percutaneous coronary intervention or coronary artery bypass graft surgery) and AMI admission at 7, 30, 180, and 365 days. The secondary end points were coronary angiography and coronary artery bypass grafting in those who underwent angiography.ResultsThe patients were ages 18 to 64 years with an average age of 44.4 years. A total of 536 197 patients (57.9%) were women. Patients who received testing (224 973) had increased risk at baseline and had greater risk of AMI admission than those who did not receive testing (701 660) (0.35% vs 0.14% at 30 days). Weekday patients (571 988) had similar baseline comorbidities to weekend patients (354 645) but were more likely to receive testing. After risk factor adjustment, testing within 30 days was associated with a significant increase in coronary angiography (36.5 per 1000 patients tested; 95% CI, 21.0-52.0) and revascularization (22.8 per 1000 patients tested; 95% CI, 10.6-35.0) at 1 year but no significant change in AMI admissions (7.8 per 1000 patients tested; 95% CI, -1.4 to 17.0). Testing within 2 days was also associated with a significant increase in coronary revascularization but no difference in AMI admissions.Conclusions and relevanceCardiac testing in patients with chest pain was associated with increased downstream testing and treatment without a reduction in AMI admissions, suggesting that routine testing may not be warranted. Further research into whether specific high-risk subgroups benefit from testing is needed.
| S-EPMC5710427 | biostudies-literature
Project description:IntroductionPatients with coronavirus disease 2019 (COVID-19) can present with chest pain. However, the characteristics of this chest pain are unknown. We performed a single-centre observational study to review and summarise chest pain characteristics in COVID-19 patients at first presentation to the emergency department (ED).MethodsWe collected data on characteristics of 'chest pain' reported by COVID-19 patients who attended the ED of Bernhoven Hospital, the Netherlands from 4 through 30 March 2020.ResultsWe included 497 COVID-19 patients, of whom 83 (17%) reported chest pain upon presentation to the ED. Chest pain characteristics were: present since disease onset (88%), retrosternal location (43%), experienced as compressing/pressure pain (61%), no radiation (61%) and linked to heavy coughing (39%). Patients who reported chest pain were younger than those without chest pain (61 vs 73 years; p < 0.001). Patients with syncope were older (75 vs 72 years; p = 0.017), had a shorter duration of symptoms (5 vs 7 days; p < 0.001) and reported fewer respiratory complaints (68% vs 90%; p < 0.001) than those without syncope. Patients with new-onset atrial arrhythmias presented with a shorter duration of symptoms (5 vs 7 days; p = 0.013), experienced fewer respiratory complaints (72% vs 89%; p = 0.012) and more frequently had a history of cardiovascular disease (79% vs 50%; p = 0.003) than patients who presented without arrythmias.ConclusionChest pain and other cardiac symptoms were frequently observed in COVID-19 patients. Treating physicians should be aware that chest pain, arrhythmias and syncope can be presenting symptoms of COVID-19.
| S-EPMC9589604 | biostudies-literature