Symptoms Suggestive of Acute Coronary Syndrome: When Is Sex Important?

Cognitive predictors and decision-making in the experience of coronary syndrome symptoms

OBJECTIVE

To determine the predictive value of Cognitive Assessment, Symptom Severity, Personal Control and Self-Efficacy on decision making in the experience of Acute Coronary Syndrome symptoms.

METHOD

Quantitative study of cross-sectional analytical design, a probabilistic sampling was carried out for 256 participants diagnosed with coronary syndrome in three health institutions. The effects between the independent variables Cognitive Assessment, Symptom Severity, Personal Control, Self-Efficacy and the dependent Decision-Making were analyzed. Using inferential statistics, a Generalized Linear Regression Model was carried out, which allowed establishing the causal relationships between the variables.

RESULTS

Two predictive models were obtained between decision making and cognitive evaluation, in which personal control, severity of symptoms, sex and context were significant. Self-efficacy was not reported as a predictor variable. The values ​​of the independent variables showed a behavior directly proportional to the Decision Making score.

CONCLUSION

A verification of the conceptual model for the management of symptoms was carried out.

Emergency Nurses' Recognition of and Perception of Sex Differences in Acute Coronary Syndrome Symptoms

INTRODUCTION

Emergency nurses must quickly identify patients with potential acute coronary syndrome. However, no recent nationwide research has explored nurses' knowledge of acute coronary syndrome symptoms. The purpose of this study was to explore emergency nurses' recognition of acute coronary syndrome symptoms, including whether nurses attribute different symptoms to women and men.

METHODS

We used a cross-sectional, descriptive design using an online survey. Emergency nurses from across the United States were recruited using postcards and a posting on the Emergency Nurses Association website. Demographic data and participants' recognition of acute coronary syndrome symptoms, using the Acute Coronary Syndrome Symptom Checklist, were collected. Descriptive statistics and ordinal regression were used to analyze the data.

RESULTS

The final sample included 448 emergency nurses with a median 7.0 years of emergency nursing experience. Participants were overwhelmingly able to recognize common acute coronary syndrome symptoms, although some symptoms were more often associated with women or with men. Most participants believed that women and men's symptoms were either "slightly different" (41.1%) or "fairly different" (42.6%). Nurses who completed training for the triage role were significantly less likely to believe that men and women have substantially different symptoms (odds ratio 0.47; 95% CI 0.25-0.87).

DISCUSSION

Emergency nurses were able to recognize common acute coronary syndrome symptoms, but some reported believing that the symptom experience of men and women is more divergent than what is reported in the literature.

Long-term neurological dysfunction associated with COVID-19: Lessons from influenza and inflammatory diseases?

As the COVID-19 pandemic persists, SARS-CoV-2 infection is increasingly associated with long-term neurological side effects including cognitive impairment, fatigue, depression, and anxiety, colloquially known as "long-COVID." While the full extent of long-COVID neuropathology across years or even decades is not yet known, we can perhaps take direction from long-standing research into other respiratory diseases, such as influenza, that can present with similar long-term neurological consequences. In this review, we highlight commonalities in the neurological impacts of influenza and COVID-19. We first focus on the common potential mechanisms underlying neurological sequelae of long-COVID and influenza, namely (1) viral neurotropism and (2) dysregulated peripheral inflammation. The latter, namely heightened peripheral inflammation leading to central nervous system dysfunction, is emerging as a shared mechanism in various peripheral inflammatory or inflammation-associated diseases and conditions. We then discuss historical and modern examples of influenza- and COVID-19-associated cognitive impairment, depression, anxiety, and fatigue, revealing key similarities in their neurological sequelae. Although we are learning that the effects of influenza and COVID differ somewhat in terms of their influence on the brain, as the impacts of long-COVID grow, such comparisons will likely prove valuable in guiding ongoing research into long-COVID, and perhaps foreshadow what could be in store for individuals with COVID-19 and their brain health.

Novel Insights into the Molecular Mechanisms of Atherosclerosis

Atherosclerosis is one of the most fatal diseases in the world. The associated thickening of the arterial wall and its background and consequences make it a very composite disease entity with many mechanisms that lead to its creation. It is an active process, and scientists from various branches are engaged in research, including molecular biologists, cardiologists, and immunologists. This review summarizes the available information on the pathophysiological implications of atherosclerosis, focusing on endothelium dysfunction, inflammatory factors, aging, and uric acid, vitamin D, and miRNA expression as recent evidence of interactions of the molecular and cellular elements. Analyzing new discoveries for the underlying causes of this condition assists the general research to improve understanding of the mechanism of pathophysiology and thus prevention of cardiovascular diseases.

Symptoms of Acute Myocardial Infarction as Described in Calls to Tele-Nurses and in Questionnaires: A Mixed-Methods Study

BACKGROUND

Patient-reported symptoms of acute myocardial infarction (MI) may be affected by recall bias depending on when and where symptoms are assessed.

AIM

The aim of this study was to gain an understanding of patients' symptom description in more detail before and within 24 hours after a confirmed MI diagnosis.

METHODS

A convergent parallel mixed-methods design was used to examine symptoms described in calls between the tele-nurse and the patient compared with symptoms selected by the patient from a questionnaire less than 24 hours after hospital admission. Quantitative and qualitative data were analyzed separately and then merged into a final interpretation.

RESULTS

Thirty patients (median age, 67.5 years; 20 men) were included. Chest pain was the most commonly reported symptom in questionnaires (24/30). Likewise, in 19 of 30 calls, chest pain was the first complaint mentioned, usually described together with the symptom onset. Expressions used to describe symptom quality were pain, pressure, discomfort, ache, cramp, tension, and soreness. Associated symptoms commonly described were pain or numbness in the arms, cold sweat, dyspnea, weakness, and nausea. Bodily sensations, such as feeling unwell or weak, were also described. Fear and tiredness were described in calls significantly less often than reported in questionnaires ( P = .01 and P = .02), whereas "other" symptoms were more often mentioned in calls compared with answers given in the questionnaire ( P = .02). Some symptoms expressed in the calls were not listed in the questionnaire, which expands the understanding of acute MI symptoms. The results showed no major inconsistencies between datasets.

CONCLUSION

Patients' MI symptom descriptions in tele-calls and those reported in questionnaires after diagnosis are comparable and convergent.

Racial and Ethnic Disparities in Acute Coronary Syndrome: A Nationally Representative Sample

Background

Disparities in acute coronary syndrome (ACS) outcomes exist between racial and ethnic groups. We aimed to evaluate disparities in resource utilization and inpatient outcomes across multiple ethnic and racial groups using contemporary data.

Methods

We identified hospital discharges for ACS in the United States using the National Inpatient Sample from 2015 to 2018. The International Classification of Diseases, Tenth Revision, Clinical Modification codes were used to identify variables of interest. The primary outcomes were in-hospital complications, length of stay, and total hospital charge. Statistical analysis was performed using STATA version 17.

Results

Our analysis included 1,911,869 ACS discharges. Our sample was made up of 78.6% White, 12.1% Black, and 9.3% Hispanic patients. Hispanic and Black patients presenting with ACS were younger and had more cardiometabolic comorbidities than their White counterparts, especially hypertension, diabetes mellitus, and obesity. Despite social determinants of health being more likely to be unfavorable for Hispanics than their White counterparts, they were more likely to incur higher total hospital charges than their White counterparts. Black patients were the least likely to undergo revascularization procedures. Despite these differences, White patients had higher in-hospital mortality rates than Black and Hispanic patients.

Conclusions

In this nationally representative study, despite having higher cardiometabolic comorbidity burden, lower socioeconomic status, and percutaneous intervention, Black and Hispanic patients experienced lower mortality rates than their White counterparts. Hispanic patients incurred the highest amount of total hospital charges for an ACS admission.

State of the Science: The Relevance of Symptoms in Cardiovascular Disease and Research: A Scientific Statement From the American Heart Association

Symptoms of cardiovascular disease drive health care use and are a major contributor to quality of life. Symptoms are of fundamental significance not only to the diagnosis of cardiovascular disease and appraisal of response to medical therapy but also directly to patients' daily lives. The primary purpose of this scientific statement is to present the state of the science and relevance of symptoms associated with cardiovascular disease. Symptoms as patient-reported outcomes are reviewed in terms of the genesis, manifestation, and similarities or differences between diagnoses. Specifically, symptoms associated with acute coronary syndrome, heart failure, valvular disorders, stroke, rhythm disorders, and peripheral vascular disease are reviewed. Secondary aims include (1) describing symptom measurement methods in research and application in clinical practice and (2) describing the importance of cardiovascular disease symptoms in terms of clinical events and other patient-reported outcomes as applicable.

There is little association between prehospital delay, persistent symptoms, and post-discharge healthcare utilization in patients evaluated for acute coronary syndrome

AIMS

Test for an association between prehospital delay for symptoms suggestive of acute coronary syndrome (ACS), persistent symptoms, and healthcare utilization (HCU) 30-days and 6-months post hospital discharge.

BACKGROUND

Delayed treatment for ACS increases patient morbidity and mortality. Prehospital delay is the largest factor in delayed treatment for ACS.

METHODS

Secondary analysis of data collected from a multi-center prospective study. Included were 722 patients presenting to the Emergency Department (ED) with symptoms that triggered a cardiac evaluation. Symptoms and HCU were measured using the 13-item ACS Symptom Checklist and the Froelicher's Health Services Utilization Questionnaire-Revised instrument. Logistic regression models were used to examine hypothesized associations.

RESULTS

For patients with ACS (n = 325), longer prehospital delay was associated with fewer MD/NP visits (OR, 0.986) at 30 days. Longer prehospital delay was associated with higher odds of calling 911 for any reason (OR, 1.015), and calling 911 for chest related symptoms (OR, 1.016) 6 months following discharge. For non-ACS patients (n = 397), longer prehospital delay was associated with higher odds of experiencing chest pressure (OR, 1.009) and chest discomfort (OR, 1.008) at 30 days. At 6 months, longer prehospital delay was associated with higher odds of upper back pain (OR, 1.013), palpitations (OR 1.014), indigestion (OR, 1.010), and calls to the MD/NP for chest symptoms (OR, 1.014).

CONCLUSIONS

There were few associations between prehospital delay and HCU for patients evaluated for ACS in the ED. Associations between prolonged delay and persistent symptoms may lead to increased HCU for those without ACS.

Association between symptoms and risk of non-ST segment elevation myocardial infarction according to age and sex in patients admitted to the emergency department with suspected acute coronary syndrome: a single-centre retrospective cohort study

OBJECTIVES

Evaluate the association between symptoms and risk of non-ST segment elevation myocardial infarction (NSTEMI) in patients admitted to an emergency department with suspected acute coronary syndrome based on sex and age.

DESIGN

Post hoc analysis of a prospective observational study conducted between September 2015 and May 2019.

SETTING

University hospital in Norway.

PARTICIPANTS

1506 participants >18 years of age (39.6% women and 31.0% 70 years of age or older).

FINDINGS

The OR for NSTEMI was 9.4 if pain radiated to both arms, 3.0 if exertional chest pain was present during the last week and 2.9 if pain occurred during activity. Men had significantly lower OR compared with women if pain was dependent of position, respiration or palpation (OR 0.17 vs 0.53, p value for interaction 0.047). Patients <70 years had higher predictive value than older patients if they reported exertional chest pain the last week (OR 4.08 vs 1.81, 95%, p value for interaction 0.025) and lower if pain radiated to the left arm (OR 0.73 vs 1.67, p value for interaction 0.045).

CONCLUSIONS

Chest pain with radiation to both arms, exertional chest pain during the last week and pain during activity had the strongest predictive value for NSTEMI. The differences in symptom presentation and risk of NSTEMI between sex and age groups were small.

TRIAL REGISTRATION NUMBER

WESTCOR study ClinicalTrials.gov (NCT02620202).

Multimorbidity phenotypes in patients presenting to the emergency department with possible acute coronary syndrome

BACKGROUND

Multimorbidity (> 2 conditions) increases the risk of adverse outcomes and challenges health care systems for patients with acute coronary syndrome (ACS). These complications may be partially attributed to ACS clinical care which is driven by single-disease-based practice guidelines; current guidelines do not consider multimorbidity.

OBJECTIVES

To identify multimorbidity phenotypes (combinations of conditions) with suspected ACS. We hypothesized that: 1) subgroups of patients with similar multimorbidity phenotypes could be identified, 2) classes would differ according to diagnosis, and 3) class membership would differ by sex, age, functional status, family history, and discharge diagnosis.

METHODS

This was a secondary analysis of data from a large multi-site clinical study of patients with suspected ACS. Conditions were determined by items on the Charlson Comorbidity Index and the ACS Patient Information Questionnaire. Latent class analysis was used to identify phenotypes.

RESULTS

The sample (n = 935) was predominantly male (68%) and middle-aged (mean= 59 years). Four multimorbidity phenotypes were identified: 1) high multimorbidity (Class 1) included hyperlipidemia, hypertension (HTN), obesity, diabetes, and respiratory disorders (COPD or asthma); 2) low multimorbidity (Class 2) included only obesity; 3) cardiovascular multimorbidity (Class 3) included HTN, hyperlipidemia, and coronary heart disease; and 4) cardio-oncology multimorbidity (Class 4) included HTN, hyperlipidemia, and cancer. Patients ruled-in for ACS primarily clustered in Classes 3 and 4 (OR 2.82, 95% CI 1.95-4.05, p = 0.001 and OR 1.76, 95% CI 1.13-2.74, p = 0.01).

CONCLUSION

Identifying and understanding multimorbidity phenotypes may assist with risk-stratification and better triage of high-risk patients in the emergency department.

Effect of Implementation of HEART Chest Pain Protocol on Emergency Department Disposition, Testing and Cost

BACKGROUND

Symptoms concerning for acute coronary syndromes (ACS) such as chest pain and dyspnea are some of the most common reasons for presenting to an emergency department (ED). The HEART score (history, electrocardiogram, age, risk factors and troponin) was developed and has been externally validated in an emergency setting to determine which patients with chest pain are at increased risk for poor outcomes. Our hospital adopted a HEART score-based protocol in late 2015 to facilitate the management and disposition of these patients. In this study we aimed to analyze the effects of the adoption of this protocol. Prior studies have included only patients with chest pain. We included both patients with chest pain and patients with only atypical symptoms.

METHODS

This was a retrospective chart review of two cohorts. We identified ED charts from six-month periods prior to and after adoption of our HEART score-based protocol. Patients in whom an electrocardiogram and troponin were ordered were eligible for inclusion. We analyzed data for patients with typical symptoms (chest pain) and atypical symptoms both together and separately.

RESULTS

We identified 1546 charts in the pre-adoption cohort and 1623 in the post-adoption cohort that met criteria. We analyzed the first 900 charts in each group. Discharges from the ED increased (odds ratio [OR[1.56, P<.001), and admissions for cardiac workup decreased (OR 0.46, P <.001). ED length of stay was 17 minutes shorter (P = .01). Stress testing decreased (OR 0.47, P<.001). We estimate a cost savings for our hospital system of over $4.5 million annually. There was no significant difference in inpatient length of stay or catheterization rate. When analyzing typical and atypical patients separately, these results held true.

CONCLUSION

After adoption of a HEART score-based protocol, discharges from the ED increased with a corresponding decrease in admissions for cardiac evaluations as well as cost. These effects were similar in patients presenting without chest pain but with presentations concerning for ACS.

Unusual Fatigue and Failure to Utilize EMS Are Associated With Prolonged Prehospital Delay for Suspected Acute Coronary Syndrome

BACKGROUND

Rapid reperfusion reduces infarct size and mortality for acute coronary syndrome (ACS), but efficacy is time dependent. The aim of this study was to determine if transportation factors and clinical presentation predicted prehospital delay for suspected ACS, stratified by final diagnosis (ACS vs. no ACS).

METHODS

A heterogeneous sample of emergency department (ED) patients with symptoms suggestive of ACS was enrolled at 5 US sites. Accelerated failure time models were used to specify a direct relationship between delay time and variables to predict prehospital delay by final diagnosis.

RESULTS

Enrolled were 609 (62.5%) men and 366 (37.5%) women, predominantly white (69.1%), with a mean age of 60.32 (±14.07) years. Median delay time was 6.68 (confidence interval 1.91, 24.94) hours; only 26.2% had a prehospital delay of 2 hours or less. Patients presenting with unusual fatigue [time ratio (TR) = 1.71, P = 0.002; TR = 1.54, P = 0.003, respectively) or self-transporting to the ED experienced significantly longer prehospital delay (TR = 1.93, P < 0.001; TR = 1.71, P < 0.001, respectively). Predictors of shorter delay in patients with ACS were shoulder pain and lightheadedness (TR = 0.65, P = 0.013 and TR = 0.67, P = 0.022, respectively). Predictors of shorter delay for patients ruled out for ACS were chest pain and sweating (TR = 0.071, P = 0.025 and TR = 0.073, P = 0.032, respectively).

CONCLUSION

Patients self-transporting to the ED had prolonged prehospital delays. Encouraging the use of EMS is important for patients with possible ACS symptoms. Calling 911 can be positively framed to at-risk patients and the community as having advanced care come to them because EMS capabilities include 12-lead ECG acquisition and possibly high-sensitivity troponin assays.

Sex Differences in Symptom Presentation in Acute Coronary Syndromes: A Systematic Review and Meta-analysis

Background Timely recognition of patients with acute coronary syndromes (ACS) is important for successful treatment. Previous research has suggested that women with ACS present with different symptoms compared with men. This review assessed the extent of sex differences in symptom presentation in patients with confirmed ACS. Methods and Results A systematic literature search was conducted in PubMed, Embase, and Cochrane up to June 2019. Two reviewers independently screened title-abstracts and full-texts according to predefined inclusion and exclusion criteria. Methodological quality was assessed using the Newcastle-Ottawa Scale. Pooled odds ratios (OR) with 95% CI of a symptom being present were calculated using aggregated and cumulative meta-analyses as well as sex-specific pooled prevalences for each symptom. Twenty-seven studies were included. Compared with men, women with ACS had higher odds of presenting with pain between the shoulder blades (OR 2.15; 95% CI, 1.95-2.37), nausea or vomiting (OR 1.64; 95% CI, 1.48-1.82) and shortness of breath (OR 1.34; 95% CI, 1.21-1.48). Women had lower odds of presenting with chest pain (OR 0.70; 95% CI, 0.63-0.78) and diaphoresis (OR 0.84; 95% CI, 0.76-0.94). Both sexes presented most often with chest pain (pooled prevalences, men 79%; 95% CI, 72-85, pooled prevalences, women 74%; 95% CI, 72-85). Other symptoms also showed substantial overlap in prevalence. The presence of sex differences has been established since the early 2000s. Newer studies did not materially change cumulative findings. Conclusions Women with ACS do have different symptoms at presentation than men with ACS, but there is also considerable overlap. Since these differences have been shown for years, symptoms should no longer be labeled as "atypical" or "typical."

Typical and Atypical Symptoms of Acute Coronary Syndrome: Time to Retire the Terms?

Studies indicate that symptoms labeled as "atypical" are more common in women evaluated for myocardial infarction (MI) and may contribute to the lower likelihood of a diagnosis and delayed treatment and result in poorer outcomes compared with men with MI. Atypical pain is frequently defined as epigastric or back pain or pain that is described as burning, stabbing, or characteristic of indigestion. Typical symptoms usually include chest, arm, or jaw pain described as dull, heavy, tight, or crushing. In a recent article published in the Journal of the American Heart Association (JAHA), Ferry and colleagues addressed presenting symptoms in men and women diagnosed with MI and reported that typical symptoms in women were more predictive of a diagnosis of MI than for men. A critical question is, are there really typical or atypical symptoms, and if so, who is the reference group? We propose that researchers and clinicians either discontinue using the terms typical and atypical or provide the reference group to which the terms apply (eg, men versus women). We believe it is past time to standardize the symptom assessment for MI so that proper and rapid diagnostic testing can be undertaken; however, we cannot standardize the symptom experience. When we do this, we are at risk of having study results, such as those of Ferry and colleagues, that vary from prior evidence and could lead to what the authors hope to avoid: disadvantaging women in receiving expeditious diagnostic testing and treatment for acute coronary syndrome.

The Quality of Symptoms in Women and Men Presenting to the Emergency Department With Suspected Acute Coronary Syndrome

INTRODUCTION

More than 5.5 million patients present to emergency departments in the United States annually for potential acute coronary syndrome (ACS); however, diagnosing ACS remains a challenge in emergency departments. Our aim was to describe the quality of symptoms (chest discomfort/description of pain, location/radiation, and overall symptom distress) reported by women and men ruled-in and ruled-out for ACS in emergency departments.

METHODS

The sample consisted of 1,064 patients presenting to emergency departments with symptoms that triggered cardiac workups. Trained research staff obtained data using the ACS Patient Information Questionnaire upon patient presentation to emergency departments.

RESULTS

The sample (n = 1,064) included 474 (44.55%) patients ruled-in and 590 (55.45%) patients ruled-out for ACS. Symptom distress was significantly higher in patients ruled-in versus ruled-out for ACS (7.3 ± 2.6 vs. 6.8 ± 2.5; P = 0.002) and was a significant predictor for an ACS diagnosis in men (odds ratio [OR], 1.10; confidence interval [CI], 1.03-1.17; P = 0.003). Women also reported more chest pressure (51.75% vs. 44.65; P = 0.02) compared with men, and chest pressure was a significant predictor for a diagnosis of ACS (OR, 1.61; CI, 1.03-2.53; P = 0.02).

DISCUSSION

Higher levels of symptom distress may help ED personnel in making a decision to evaluate a patient for ACS, and the presence of chest pressure may aid in making a differential diagnosis of ACS.

Acute Coronary Syndrome Symptom Clusters: Illustration of Results Using Multiple Statistical Methods

Researchers have employed various methods to identify symptom clusters in cardiovascular conditions, without identifying rationale. Here, we test clustering techniques and outcomes using a data set from patients with acute coronary syndrome. A total of 474 patients who presented to emergency departments in five United States regions were enrolled. Symptoms were assessed within 15 min of presentation using the validated 13-item ACS Symptom Checklist. Three variable-centered approaches resulted in four-factor solutions. Two of three person-centered approaches resulted in three-cluster solutions. K-means cluster analysis revealed a six-cluster solution but was reduced to three clusters following cluster plot analysis. The number of symptoms and patient characteristics varied within clusters. Based on our findings, we recommend using (a) a variable-centered approach if the research is exploratory, (b) a confirmatory factor analysis if there is a hypothesis about symptom clusters, and (c) a person-centered approach if the aim is to cluster symptoms by individual groups.

What's the Risk? Older Women Report Fewer Symptoms for Suspected Acute Coronary Syndrome than Younger Women

The purpose of the study was to determine whether older (≥65 years) and younger (<65 years) women presenting to the emergency department (ED) with symptoms suggestive of acute coronary syndrome (ACS) varied on risk factors, comorbid conditions, functional status, and symptoms that have implications for emergent cardiac care. Women admitted to five EDs were enrolled. The ACS Symptom Checklist was used to measure symptoms. Comorbid conditions and functional status were measured with the Charlson Comorbidity Index and Duke Activity Status Index. Logistic regression models were used to evaluate symptom differences in older and younger women adjusting for ACS diagnosis, functional status, body mass index (BMI), and comorbid conditions. Analyses were stratified by age, and interaction of symptom by age was tested. Four hundred women were enrolled. Mean age was 61.3 years (range 21–98). Older women (n = 163) were more likely to have hypertension, hypercholesterolemia, never smoked, lower BMI, more comorbid conditions, and lower functional status. Younger women (n = 237) were more likely to be members of minority groups, be college-educated, and have a non-ACS discharge diagnosis. Younger women had higher odds of experiencing chest discomfort, chest pain, chest pressure, shortness of breath, nausea, sweating, and palpitations. Lack of chest symptoms and shortness of breath (key symptoms triggering a decision to seek emergency care) may cause older women to delay seeking treatment, placing them at risk for poorer outcomes. Younger African American women may require more comprehensive risk reduction strategies and symptom management.

Patient-reported symptoms improve prediction of acute coronary syndrome in the emergency department

Early diagnosis is critical in the management of patients with acute coronary syndrome (ACS), particularly ST-elevation myocardial infarction (STEMI), because effective therapies are time-dependent. Aims of this secondary analysis were to determine: (i) the prognostic value of symptoms for an ACS diagnosis in conjunction with electrocardiographic (ECG) and troponin results; and (ii) if any of 13 symptoms were associated with prehospital delay in those presenting to the emergency department (ED) with potential ACS. Patients receiving a cardiac evaluation in the ED were eligible for the study. Thirteen patient-reported symptoms were assessed in triage. Prehospital delay time was calculated as the time from symptom onset until registration in the ED. A total of 1,064 patients were enrolled in five EDs. The sample was 62% male, 70% white, and had a mean age of 60.2 years. Of 474 participants diagnosed with ACS, 118 (25%) had STEMI; 251 (53%) had non-ST elevation myocardial infarction (NSTEMI); and 105 (22%) had unstable angina. Sweating (OR = 1.42 CI [1.01, 2.00]) and shoulder pain (OR = 1.64 CI [1.13, 2.38]) added to the predictive value of an ACS diagnosis when combined with ECG and troponin results. Shortness of breath (OR = 0.71 CI [0.50, 1.00]) and unusual fatigue (OR = 0.60 CI [0.42, 0.84]) were predictive of a non-ACS diagnosis. Sweating predicted shorter prehospital delay (HR = 1.35, CI [1.10, 1.67]); shortness of breath (HR = 0.73 CI [0.60, 0.89]) and unusual fatigue (HR = 0.72, CI [0.57, 0.90]) were associated with longer prehospital delay. Patient-reported symptoms are significantly associated with ACS diagnoses and prehospital delay. Sweating and shoulder pain combined with ECG signs of ischemia may improve the timely detection of ACS in the ED.

Sensitivity and specificity of the Manchester Triage System in risk prioritization of patients with acute myocardial infarction who present with chest pain

Background:

The purpose of the Manchester Triage System is to clinically prioritize each patient seeking care in an emergency department. Patients with suspected acute myocardial infarction who have typical symptoms including chest pain should be classified in the highest priority groups, requiring immediate medical assistance or care within 10 min. As such, the Manchester Triage System should present adequate sensitivity and specificity.

Aims:

This study estimated the sensitivity and specificity of the Manchester Triage System in the triage of patients with chest pain related to the diagnosis of acute myocardial infarction, and the associations between the performance of the Manchester Triage System and selected variables.

Methods:

This was an observational, analytical, cross-sectional, retrospective study. The sensitivity and specificity of the Manchester Triage System were estimated by verifying the triage classification received by these patients and their established medical diagnoses.

Results:

The sample was composed of 10,087 triage episodes, in which 139 (1.38%) patients had a diagnosis of acute myocardial infarction. In 49 episodes, confirmation of medical diagnosis was not possible. The estimated sensitivity of the Manchester Triage System was 44.60% (36.18–53.27%) and the estimated specificity was 91.30% (90.73–91.85%). Of the 10,038 episodes in which the diagnosis of acute myocardial infarction was confirmed or excluded, 938 patients (9.34%) received an incorrect classification – undertriage or overtriage.

Conclusion:

This study showed that the specificity of the Manchester Triage System was very good. However, the low sensitivity based on the Manchester Triage System indicated that patients in high priority categories were undertriaged, leading to longer wait times and associated increased risks of adverse events.

Comparing Asian American Women's Knowledge, Self-Efficacy, and Perceived Risk of Heart Attack to Other Racial and Ethnic Groups: The mPED Trial

OBJECTIVE

The aim of the study was to compare knowledge and awareness of heart attacks/heart disease and perceived risk for future heart attack in Asian/Pacific Islander women, compared to other racial and ethnic groups.

MATERIALS AND METHODS

In this cross-sectional study, 318 women enrolled in a mobile phone-based physical activity education trial were analyzed. Heart attack knowledge, self-efficacy for recognizing and responding to heart attack symptoms, and perceived risk for a future heart attack were measured. Analyses were conducted using logistic, proportional odds, and linear regression models, depending on the outcome and adjusting for age. Pairwise differences between Asian/Pacific Islanders and the other four groups were assessed using a Bonferroni correction (p < 0.0125).

RESULTS

Asian/Pacific Islander women had significantly lower total scores for knowledge of heart attack and self-efficacy for heart attack recognition and care seeking behavior compared to the Caucasian women (p = 0.001 and p = 0.002, respectively). However, perceived risk did not differ among the groups. Forty-six percent of the Asian American women, compared to 25% of Caucasian women, falsely believed "breast cancer is the number one cause of death for women (p = 0.002)." In addition, Asian/Pacific Islander women were less likely to report "arm pain, numbness, tingling, or radiating" as one of the heart attack symptoms compared to the Caucasian and the multiracial group (34%, 63% [p < 0.001], and 66% [p = 0.004], respectively).

CONCLUSIONS

These findings highlight the urgent need to develop effective, tailored campaigns to close the knowledge gap between Asian/Pacific Islander women and Caucasian women.

Impact of comorbidities by age on symptom presentation for suspected acute coronary syndromes in the emergency department

BACKGROUND

It is estimated half of acute coronary syndrome (ACS) patients have one or more associated comorbid conditions.

AIMS

Aims were to: 1) examine the prevalence of comorbid conditions in patients presenting to the emergency department with symptoms suggestive of ACS; 2) determine if comorbid conditions influence ACS symptoms; and 3) determine if comorbid conditions predict the likelihood of receiving an ACS diagnosis.

METHODS

A total of 1064 patients admitted to five emergency departments were enrolled in this prospective study. Symptoms were measured on presentation to the emergency department. The Charlson Comorbidity Index (CCI) was used to evaluate group differences in comorbidity burden across demographic traits, risk factors, clinical presentation, and diagnosis.

RESULTS

The most prominent comorbid conditions were prior myocardial infarction, diabetes without target organ damage, and chronic lung disease. In younger ACS patients, higher CCI predicted less chest pain, chest discomfort, unusual fatigue and a lower number of symptoms. In older ACS patients, higher CCI predicted more chest discomfort, upper back pain, abrupt symptom onset, and greater symptom distress. For younger non-ACS patients, higher CCI predicted less chest pain and symptom distress. Higher CCI was associated with a greater likelihood of receiving an ACS diagnosis for younger but not older patients with suspected ACS.

CONCLUSIONS

Younger patients with ACS and higher number of comorbidities report less chest pain, putting them at higher risk for delayed diagnosis and treatment since chest pain is a hallmark symptom for ACS.

A Qualitative Study of Symptom Experiences of Women With Acute Coronary Syndrome

BACKGROUND

Most studies show that women with symptoms of acute coronary syndrome (ACS) delay seeking care longer than men do. Contributing factors include women being more likely to experience diverse symptoms, to experience symptoms that do not match preexisting symptom expectations, to interpret symptoms as noncardiac, and to minimize symptoms until they become incapacitating.

OBJECTIVE

The aim of the study is to identify factors influencing women's ability to recognize and accurately interpret symptoms of suspected ACS.

METHODS

This qualitative study used in-depth interviews with 18 women diagnosed with ACS to determine how they recognized, interpreted, and acted on symptoms. An interview guide developed from the author's initial research was used to provide structure for the process.

RESULTS

All of the women went through a process of recognizing and interpreting their symptoms. Eight women had symptoms arise abruptly. Most of these women recognized a change immediately, "knew" to go for treatment, and did so quickly. Three women had vague symptoms that started slowly, converting unexpectedly to intense symptoms prompting them to seek care urgently. The remaining 7 women had evolving symptoms, were more likely to interpret symptoms as unrelated to their heart, and avoided disclosing symptoms to others. Despite recognizing that the situation may be serious, women with evolving symptoms adopted a wait-and-see approach.

CONCLUSION

Women with less severe, intermittent, or evolving symptoms are at increased risk for delayed presentation, diagnosis, and treatment for ACS. These women should be targeted for educational and behavioral interventions.