Dr. Yiadom is an Associate Professor of Emergency Medicine at Stanford University and researcher with expertise in emergency care clinical operations and timely emergency care delivery. She was first trained in health care policy in Princeton University’s School of Public and International Affairs. She subsequently worked as a healthcare industry management consultant here in New York City for CSC Global Health Solutions Group, and was the Dean’s Office Chief of Staff at Drexel Medical School in Philadelphia. She completed her medical education at Robert Wood Johnson Medical School, a Masters in Public Health (MPH) at Harvard with additional health policy training from Johns Hopkins. She subsequently did residency at Mass General and Brigham and Women’s Hospitals’ Harvard affiliated program, and completed a Masters of Science in Clinical Investigation (MSCI) at Vanderbilt University.
Dr. Yiadom is the Principal Investigator for the Stanford Emergency Care Health Services Research Data Coordinating Center (HSR-DCC). Her research focuses on applications of evidence-based medicine to optimize clinical operations to target patient pathophysiology for time-sensitive conditions. STEMI is her prototype disease. Current work includes refining clinical process, using informatics to support evidence-based practice, and performance measurement to identify real-world care improvement opportunities. Her research is supported by the National Heart Lung and Blood Institute (NHLBI), and ED Benchmarking Alliance. She is the Founding Director of the Emergency Department Operations Study Group (EDOSG), and on the Board of Directors for the Emergency Department Benchmarking Alliance (EDBA). Her interested in population health via emergency care have extended to Haiti, Guyana and Ghana. She and her husband Ryan Van Cleave (Airforce veteran, and Northern California native) have 3 children: Marialex (age 17), Victoria (age 14), and Jasmine (age 5).
- Emergency Medicine
- Clinical Operations
- Evidence-based clinical practice
- Time-sensitive emergency care delivery
- Health System Operations
Associate Professor - Med Center Line, Emergency Medicine
Medical Education: Rutgers Robert Wood Johnson Medical School (2007) NJ
MPH, Harvard School of Public Health, Population Health (2007)
Residency: Harvard Affiliated Emergency Medicine (2011) MA
Board Certification: American Board of Emergency Medicine, Emergency Medicine (2012)
MSCI, Vanderbilt University, Clinical Investigation (2018)
Comparing the Timeliness of Treatment in Younger vs. Older Patients with ST-Segment Elevation Myocardial Infarction: A Multi-Center Cohort Study.
The Journal of emergency medicine
ST-segment elevation myocardial infarction (STEMI) predominantly affects older adults. Lower incidence among younger patients may challenge diagnosis.We hypothesize that among patients ≤ 50 years old, emergent percutaneous coronary intervention (PCI) for STEMI is delayed when compared with patients aged > 50 years.This 3-year, 10-center retrospective cohort study included emergency department (ED) STEMI patients ≥ 18 years of age treated with emergent PCI. We excluded patients with an electrocardiogram (ECG) completed prior to ED arrival or a nondiagnostic initial ECG. Our primary outcome was door-to-balloon (D2B) time. We compared characteristics and outcomes among younger vs. older STEMI patients, and among age subgroups.There were 576 ED STEMI PCI patients, of whom 100 were ≤ 50 years old and 476 were > 50 years old. Median age was 44 years in the younger cohort (interquartile range [IQR] 41-47) vs. 62 years (IQR 57-70) among older patients. Median D2B time for the younger cohort was 76.5 min (IQR 67.5-102.5) vs. 81.0 min (IQR 65.0-105.5) in the older cohort (p = 0.91). This outcome did not change when ages 40 or 45 years were used to demarcate younger vs. older. The younger cohort had a higher prevalence of nonwhite races (38% vs. 21%; p < 0.001) and those currently smoking (36% vs. 23%; p = 0.005). The very young (≤30 years; 6/576) and very old (>80 years; 45/576) had 5.51 and 2.2 greater odds of delays.We found no statistically significant difference in D2B times between patients ≤ 50 years old and those > 50 years old. Nonwhite patients and those who smoke were disproportionately represented within the younger population. The very young and very old had higher odds of D2B times > 90 min.
View details for DOI 10.1016/j.jemermed.2021.01.031
View details for PubMedID 33676790
Examining Parity among Black and Hispanic Resident Physicians.
Journal of general internal medicine
The US physician workforce does not represent the racial or ethnic diversity of the population it serves.To assess whether the proportion of US physician trainees of Black race and Hispanic ethnicity has changed over time and then provide a conceptual projection of future trends.Cross-sectional, retrospective, analysis based on 11 years of publicly available data paired with recent US census population estimates.A total of 86,303 (2007-2008) to 103,539 (2017-2018) resident physicians in the 20 largest US Accreditation Council for Graduate Medical Education resident specialties.Changes in proportion of physician trainees of Black race and Hispanic ethnicity per academic year. Projected number of years it will then take, for specialties with positive changes, to reach proportions of Black race and Hispanic ethnicity comparable to that of the US population.Among the 20 largest specialty training programs, Radiology was the only specialty with a statistically significant increase in the proportion of Black trainees, but it could take Radiology 77 years to reach levels of Black representation comparable to that of the US population. Obstetrics/Gynecology, Emergency Medicine, Internal Medicine/Pediatrics, and Orthopedic Surgery demonstrated a statistically significant increase in the proportion of Hispanic trainees, but it could take these specialties 35, 54, 61, and 93 years respectively to achieve Hispanic representation comparable to that of the US population.Among US residents in the 20 largest specialties, no specialty represented either the Black or Hispanic populations in proportions comparable to the overall US population. Only a small number of specialties demonstrated statistically significant increases. This conceptual projection suggests that current efforts to promote diversity are insufficient.
View details for DOI 10.1007/s11606-021-06650-7
View details for PubMedID 33629264
Understanding timely STEMI treatment performance: A 3-year retrospective cohort study using diagnosis-to-balloon-time and care subintervals.
Journal of the American College of Emergency Physicians open
2021; 2 (1): e12379
From the perspective of percutaneous coronary intervention (PCI) centers, locations of ST-segment elevation myocardial infarction (STEMI) diagnosis can include a referring facility, emergency medical services (EMS) transporting to a PCI center, or the PCI center's emergency department (ED). This challenges the use of door-to-balloon-time as the primary evaluative measure of STEMI treatment pathways. Our objective was to identify opportunities to improve care by quantifying differences in the timeliness of STEMI treatment mobilization based on the location of the diagnostic ECG.This 3-year, single-center, retrospective cohort study classified patients by diagnostic ECG location: referring facility, EMS, or PCI center ED. We quantified door-to-balloon-time and diagnosis-to-balloon-time with its care subintervals.Of 207 ED STEMI patients, 180 (87%) received PCI. Median diagnosis-to-balloon-times were shortest among the ED-diagnosed (78 minutes [interquartile range (IQR), 61-92]), followed by EMS-identified patients (89 minutes [IQR, 78-122]), and longest among those referred (140 minutes [IQR, 119-160]), reflecting time for transport to the PCI center. Conversely, referred patients had the shortest median door-to-balloon-times (38 minutes [IQR, 34-43]), followed by the EMS-identified (64 minutes [IQR, 47-77]), whereas ED-diagnosed patients had the longest (89 minutes [IQR, 70-114]), reflecting diagnosis and catheterization lab activation frequently occurring before PCI center ED arrival for referred and EMS-identified patients.Diagnosis-to-balloon-time and its care subintervals are complementary to the traditional door-to-balloon-times as measures of the STEMI treatment process. Together, they highlight opportunities to improve timely identification among ED-diagnosed patients, use of out-of-hospital cath lab activation for EMS-identified patients, and encourage pathways for referred patients to bypass PCI center EDs.
View details for DOI 10.1002/emp2.12379
View details for PubMedID 33644777
View details for PubMedCentralID PMC7890036
Managing and Measuring Emergency Department Care: Results of the Fourth Emergency Department Benchmarking Definitions Summit
Academic Emergency Medicine
2020; 27 (7)
View details for DOI 10.1111/acem.13978
Impact of a Follow-up Telephone Call Program on 30-Day Readmissions (FUTR-30): A Pragmatic Randomized Controlled Real-world Effectiveness Trial.
2020; 58 (9): 785–92
Telephone call programs are a common intervention used to improve patients' transition to outpatient care after hospital discharge.To examine the impact of a follow-up telephone call program as a readmission reduction initiative.Pragmatic randomized controlled real-world effectiveness trial.We enrolled and randomized all patients discharged home from a hospital general medicine service to a follow-up telephone call program or usual care discharge. Patients discharged against medical advice were excluded. The intervention was a hospital program, delivering a semistructured follow-up telephone call from a nurse within 3-7 days of discharge, designed to assess understanding and provide education, and assistance to support discharge plan implementation.Our primary endpoint was hospital inpatient readmission within 30 days identified by the electronic health record. Secondary endpoints included observation readmission, emergency department revisit, and mortality within 30 days, and patient experience ratings.All 3054 patients discharged home were enrolled and randomized to the telephone call program (n=1534) or usual care discharge (n=1520). Using a prespecified intention-to-treat analysis, we found no evidence supporting differences in 30-day inpatient readmissions [14.9% vs. 15.3%; difference -0.4 (95% confidence interval, 95% CI), -2.9 to 2.1; P=0.76], observation readmissions [3.8% vs. 3.6%; difference 0.2 (95% CI, -1.1 to 1.6); P=0.74], emergency department revisits [6.1% vs. 5.4%; difference 0.7 (95% CI, -1.0 to 2.3); P=0.43], or mortality [4.4% vs. 4.9%; difference -0.5 (95% CI, -2.0 to 1.0); P=0.51] between telephone call and usual care groups.We found no evidence of an impact on 30-day readmissions or mortality due to the postdischarge telephone call program.
View details for DOI 10.1097/MLR.0000000000001353
View details for PubMedID 32732787
Potential impact of cardiology phone-consultation for patients risk-stratified by the HEART pathway.
Clinical and experimental emergency medicine
2019; 6 (3): 196–203
Bedside consultation by cardiologists may facilitate safe discharge of selected patients from the emergency department (ED) even when admission is recommended by the History, Electrocardiogram, Age, Risk factors, Troponin (HEART) pathway. If bedside evaluation is unavailable, phone consultation between emergency physicians and cardiologists would be most impactful if the resultant disposition is discordant with the HEART pathway. We therefore evaluate discordance between actual disposition and that suggested by the HEART pathway in patients presenting to the ED with chest pain for whom cardiology consultation occurred exclusively by phone and to assess the impact of phone-consultation on disposition.We performed a single-center, retrospective study of adults presenting to the ED with chest pain whose emergency physician had a phone consultation with a cardiologist. Actual disposition was abstracted from the medical record. HEART pathway category (low-risk, discharge; high-risk, admit) was derived from ED documentation. For discharged patients, major adverse cardiac events were assessed at 30 days by chart review and phone follow-up.For the 170 patients that had cardiologist phone consultation, discordance between actual disposition and the HEART pathway was 17%. The HEART pathway recommended admission for nearly 80% of discharged patients. Following cardiologist phone-consultation, 10% of high-risk patients were discharged, with the majority having undergone a functional study recommended by the cardiologist. At 30 days, discharged patients had experienced no episodes of major adverse cardiac events or rehospitalization for cardiac reasons.For patients presenting to the ED with chest pain, cardiology phone-consultation has the potential to safely impact disposition, primarily by facilitating functional testing in high-risk individuals.
View details for DOI 10.15441/ceem.18.066
View details for PubMedID 31295990
View details for PubMedCentralID PMC6774010
Public Health Rationale for Investments in Emergency Medicine in Developing Countries - Ghana as a Case Study.
The Journal of emergency medicine
2018; 55 (4): 537–43
Ghana is a developing country that has strategically invested in expanding emergency care services as a means of improving national health outcomes.Here we present Ghana as a case study for investing in emergency care to achieve public health benefits that fuel for national development.Ghana's health leadership has affirmed emergency care as a necessary adjunct to its preexisting primary health care model. Historically, developing countries prioritize primary care efforts and outpatient clinic-based health care models. Ghana has added emergency medicine infrastructure to its health care system in an effort to address the ongoing shift in disease epidemiology as the population urbanizes, mobilizes, and ages. Ghana's investments include prehospital care, personnel training, health care resource provision, communication improvements, transportation services, and new health facilities. This is in addition to re-educating frontline health care providers and developing infrastructure for specialist training. Change was fueled by public support, partnerships between international organizations and domestic stakeholders, and several individual champions.Emergency medicine as a horizontal component of low- to middle-income countries' health systems may fuel national health and economic development. Ghana's experience may serve as a model.
View details for DOI 10.1016/j.jemermed.2018.07.021
View details for PubMedID 30181077
Measuring outcome differences associated with STEMI screening and diagnostic performance: a multicentred retrospective cohort study protocol.
2018; 8 (5): e022453
Advances in ST-segment elevation myocardial infarction (STEMI) management have involved improving the clinical processes connecting patients with timely emergency cardiovascular care. Screening upon emergency department (ED) arrival for an early ECG to diagnose STEMI, however, is not optimal for all patients. In addition, the degree to which timely screening and diagnosis are associated with improved time to intervention and postpercutaneous coronary intervention outcomes, under more contemporary practice conditions, is not known.We present the methods for a retrospective multicentre cohort study anticipated to include 1220 patients across seven EDs to (1) evaluate the relationship between timely screening and diagnosis with treatment and postintervention clinical outcomes; (2) introduce novel measures for cross-facility performance comparisons of screening and diagnostic care team performance including: door-to-screening, door-to-diagnosis and door-to-catheterisation laboratory arrival times and (3) describe the use of electronic health record data in tandem with an existing disease registry.The completion of this study will provide critical feedback on the quality of screening and diagnostic performance within the contemporary STEMI care pathway that can be used to (1) improve emergency care delivery for patients with STEMI presenting to the ED, (2) present novel metrics for the comparison of screening and diagnostic care and (3) inform the development of screening and diagnostic support tools that could be translated to other care environments. We will disseminate our results via publication and quality performance data sharing with each site. Institutional ethics review approval was received prior to study initiation.
View details for DOI 10.1136/bmjopen-2018-022453
View details for PubMedID 29724744
View details for PubMedCentralID PMC5942471
Randomised controlled pragmatic clinical trial evaluating the effectiveness of a discharge follow-up phone call on 30-day hospital readmissions: balancing pragmatic and explanatory design considerations.
2018; 8 (2): e019600
Hospital readmissions within 30 days are a healthcare quality problem associated with increased costs and poor health outcomes. Identifying interventions to improve patients' successful transition from inpatient to outpatient care is a continued challenge.This is a single-centre pragmatic randomised and controlled clinical trial examining the effectiveness of a discharge follow-up phone call to reduce 30-day inpatient readmissions. Our primary endpoint is inpatient readmission within 30 days of hospital discharge censored for death analysed with an intention-to-treat approach. Secondary endpoints included observation status readmission within 30 days, time to readmission, all-cause emergency department revisits within 30 days, patient satisfaction (measured as mean Hospital Consumer Assessment of Healthcare Providers and Systems scores) and 30-day mortality. Exploratory endpoints include the need for assistance with discharge plan implementation among those randomised to the intervention arm and reached by the study nurse, and the number of call attempts to achieve successful intervention delivery. Consistent with the Learning Healthcare System model for clinical research, timeliness is a critical quality for studies to most effectively inform hospital clinical practice. We are challenged to apply pragmatic design elements in order to maintain a high-quality practicable study providing timely results. This type of prospective pragmatic trial empowers the advancement of hospital-wide evidence-based practice directly affecting patients.Study results will inform the structure, objective and function of future iterations of the hospital's discharge follow-up phone call programme and be submitted for publication in the literature.NCT03050918; Pre-results.
View details for DOI 10.1136/bmjopen-2017-019600
View details for PubMedID 29444787
View details for PubMedCentralID PMC5829894
Measuring Emergency Department Acuity.
Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
2018; 25 (1): 65–75
Emergency department (ED) acuity is the general level of patient illness, urgency for clinical intervention, and intensity of resource use in an ED environment. The relative strength of commonly used measures of ED acuity is not well understood.We performed a retrospective cross-sectional analysis of ED-level data to evaluate the relative strength of association between commonly used proxy measures with a full spectrum measure of ED acuity. Common measures included the percentage of patients with Emergency Severity Index (ESI) scores of 1 or 2, case mix index (CMI), academic status, annual ED volume, inpatient admission rate, percentage of Medicare patients, and patients seen per attending-hour. Our reference standard for acuity is the proportion of high-acuity charts (PHAC) coded and billed according to the Centers for Medicare and Medicaid Service's Ambulatory Payment Classification (APC) system. High-acuity charts included those APC 4 or 5 or critical care. PHAC was represented as a fractional response variable. We examined the strength of associations between common acuity measures and PHAC using Spearman's rank correlation coefficients (rs ) and regression models including a quasi-binomial generalized linear model and linear regression.In our univariate analysis, the percentage of patients ESI 1 or 2, CMI, academic status, and annual ED volume had statistically significant associations with PHAC. None explained more than 16% of PHAC variation. For regression models including all common acuity measures, academic status was the only variable significantly associated with PHAC.Emergency Severity Index had the strongest association with PHAC followed by CMI and annual ED volume. Academic status captures variability outside of that explained by ESI, CMI, annual ED volume, percentage of Medicare patients, or patients per attending per hour. All measures combined only explained only 42.6% of PHAC variation.
View details for DOI 10.1111/acem.13319
View details for PubMedID 28940546
View details for PubMedCentralID PMC5764775
Acute Coronary Syndrome Screening and Diagnostic Practice Variation.
Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
2017; 24 (6): 701–9
In the absence of the existing acute coronary syndrome (ACS) guidelines directing the clinical practice implementation of emergency department (ED) screening and diagnosis, there is variable screening and diagnostic clinical practice across ED facilities. This practice diversity may be warranted. Understanding the variability may identify opportunities for more consistent practice.This is a cross-sectional clinical practice epidemiology study with the ED as the unit of analysis characterizing variability in the ACS evaluation across 62 diverse EDs. We explored three domains of screening and diagnostic practice: 1) variability in criteria used by EDs to identify patients for an early electrocardiogram (ECG) to diagnose ST-elevation myocardial infarction (STEMI), 2) nonuniform troponin biomarker and formalized pre-troponin risk stratification use for the diagnosis of non-ST-elevation myocardial infarction (NSTEMI), and 3) variation in the use of noninvasive testing (NIVT) to identify obstructive coronary artery disease or detect inducible ischemia.We found that 85% of EDs utilize a formal triage protocol to screen patients for an early ECG to diagnose STEMI. Of these, 17% use chest pain as the sole criteria. For the diagnosis of NSTEMI, 58% use intervals ≥4 hours for a second troponin and 34% routinely risk stratify before troponin testing. For the diagnosis of noninfarction ischemia, the median percentage of patients who have NIVT performed during their ED visit is 5%. The median percentage of patients referred for NIVT in hospital (observation or admission) is 61%. Coronary CT angiography is used in 66% of EDs. Exercise treadmill testing is the most frequently reported first-line NIVT (42%).Our results suggest highly variable ACS screening and clinical practice.
View details for DOI 10.1111/acem.13184
View details for PubMedID 28261908
Performance of Emergency Department Screening Criteria for an Early ECG to Identify ST-Segment Elevation Myocardial Infarction.
Journal of the American Heart Association
2017; 6 (3)
Timely diagnosis of ST-segment elevation myocardial infarction (STEMI) in the emergency department (ED) is made solely by ECG. Obtaining this test within 10 minutes of ED arrival is critical to achieving the best outcomes. We investigated variability in the timely identification of STEMI across institutions and whether performance variation was associated with the ED characteristics, the comprehensiveness of screening criteria, and the STEMI screening processes.We examined STEMI screening performance in 7 EDs, with the missed case rate (MCR) as our primary end point. The MCR is the proportion of primarily screened ED patients diagnosed with STEMI who did not receive an ECG within 15 minutes of ED arrival. STEMI was defined by hospital discharge diagnosis. Relationships between the MCR and ED characteristics, screening criteria, and STEMI screening processes were assessed, along with differences in door-to-ECG times for captured versus missed patients. The overall MCR for all 7 EDs was 12.8%. The lowest and highest MCRs were 3.4% and 32.6%, respectively. The mean difference in door-to-ECG times for captured and missed patients was 31 minutes, with a range of 14 to 80 minutes of additional myocardial ischemia time for missed cases. The prevalence of primarily screened ED STEMIs was 0.09%. EDs with the greatest informedness (sensitivity+specificity-1) demonstrated superior performance across all other screening measures.The 29.2% difference in MCRs between the highest and lowest performing EDs demonstrates room for improving timely STEMI identification among primarily screened ED patients. The MCR and informedness can be used to compare screening across EDs and to understand variable performance.
View details for DOI 10.1161/JAHA.116.003528
View details for PubMedID 28232323
View details for PubMedCentralID PMC5523988
Documentation of HEART score discordance between emergency physician and cardiologist evaluations of ED patients with chest pain.
The American journal of emergency medicine
2017; 35 (1): 132–35
A triage cardiology program, in which cardiologists provide consultation to the Emergency Department (ED), may safely reduce admissions. For patients with chest pain, the HEART Pathway may obviate the need for cardiology involvement, unless there is a difference between ED and cardiology assessments. Therefore, in a cohort concurrently evaluated by both specialties, we analyzed discordance between ED and cardiology HEART scores.We performed a single-center, cross-sectional, retrospective study of adults presenting to the ED with chest pain who had a documented bedside evaluation by a triage cardiologist. Separate ED and cardiology HEART scores were computed based on documentation by the respective physicians. Discrepancies in HEART score between ED physicians and cardiologists were quantified using Cohen κ coefficient.Thirty-three patients underwent concurrent ED physician and cardiologist evaluation. Twenty-three patients (70%) had discordant HEART scores (κ = 0.13; 95% confidence interval, -0.02 to 0.32). Discrepancies in the description of patients' chest pain were the most common source of discordance and were present in more than 50% of cases. HEART scores calculated by ED physicians tended to overestimate the scores calculated by cardiologists. When categorized into low-risk or high-risk by the HEART Pathway, more than 25% of patients were classified as high risk by the ED physician, but low risk by the cardiologist.There is substantial discordance in HEART scores between ED physicians and cardiologists. A triage cardiology system may help refine risk stratification of patients presenting to the ED with chest pain, even when the HEART Pathway tool is used.
View details for DOI 10.1016/j.ajem.2016.09.058
View details for PubMedID 27745728
View details for PubMedCentralID PMC6805131
Implementing Data Definition Consistency for Emergency Department Operations Benchmarking and Research.
Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
2016; 23 (7): 796–802
The objective was to obtain a commitment to adopt a common set of definitions for emergency department (ED) demographic, clinical process, and performance metrics among the ED Benchmarking Alliance (EDBA), ED Operations Study Group (EDOSG), and Academy of Academic Administrators of Emergency Medicine (AAAEM) by 2017.A retrospective cross-sectional analysis of available data from three ED operations benchmarking organizations supported a negotiation to use a set of common metrics with identical definitions. During a 1.5-day meeting-structured according to social change theories of information exchange, self-interest, and interdependence-common definitions were identified and negotiated using the EDBA's published definitions as a start for discussion. Methods of process analysis theory were used in the 8 weeks following the meeting to achieve official consensus on definitions. These two lists were submitted to the organizations' leadership for implementation approval.A total of 374 unique measures were identified, of which 57 (15%) were shared by at least two organizations. Fourteen (4%) were common to all three organizations. In addition to agreement on definitions for the 14 measures used by all three organizations, agreement was reached on universal definitions for 17 of the 57 measures shared by at least two organizations. The negotiation outcome was a list of 31 measures with universal definitions to be adopted by each organization by 2017.The use of negotiation, social change, and process analysis theories achieved the adoption of universal definitions among the EDBA, EDOSG, and AAAEM. This will impact performance benchmarking for nearly half of US EDs. It initiates a formal commitment to utilize standardized metrics, and it transitions consistency in reporting ED operations metrics from consensus to implementation. This work advances our ability to more accurately characterize variation in ED care delivery models, resource utilization, and performance. In addition, it permits future aggregation of these three data sets, thus facilitating the creation of more robust ED operations research data sets unified by a universal language. Negotiation, social change, and process analysis principles can be used to advance the adoption of additional definitions.
View details for DOI 10.1111/acem.12988
View details for PubMedID 27121149
View details for PubMedCentralID PMC6805130
Diagnostic Utility of Neuregulin for Acute Coronary Syndrome.
2016; 2016: 8025271
The purpose of this study was to determine the diagnostic test characteristics of serum neuregulin-1β (NRG-1β) for the detection of acute coronary syndrome (ACS). We recruited emergency department patients presenting with signs and symptoms prompting an evaluation for ACS. Serum troponin and neuregulin-1β levels were compared between those who had a final discharge diagnosis of myocardial infarction (STEMI and NSTEMI) and those who did not, as well as those who more broadly had a final discharge diagnosis of ACS (STEMI, NSTEMI, and unstable angina). Of 319 study participants, 11% had evidence of myocardial infarction, and 19.7% had a final diagnosis of ACS. Patients with MI had median neuregulin levels of 0.16 ng/mL (IQR [0.16-24.54]). Compared to the median of those without MI, 1.46 ng/mL (IQR [0.16-15.02]), there was no significant difference in the distribution of results (P = 0.63). Median neuregulin levels for patients with ACS were 0.65 ng/mL (IQR [0.16-24.54]). There was no statistical significance compared to those without ACS who had a median of 1.40 ng/mL (IQR [0.16-14.19]) (P = 0.95). Neuregulin did not perform successfully as a biomarker for acute MI or ACS in the emergency department.
View details for DOI 10.1155/2016/8025271
View details for PubMedID 27110055
View details for PubMedCentralID PMC4823486
Consensus statement on advancing research in emergency department operations and its impact on patient care.
Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
2015; 22 (6): 757–64
The consensus conference on "Advancing Research in Emergency Department (ED) Operations and Its Impact on Patient Care," hosted by The ED Operations Study Group (EDOSG), convened to craft a framework for future investigations in this important but understudied area. The EDOSG is a research consortium dedicated to promoting evidence-based clinical practice in emergency medicine. The consensus process format was a modified version of the NIH Model for Consensus Conference Development. Recommendations provide an action plan for how to improve ED operations study design, create a facilitating research environment, identify data measures of value for process and outcomes research, and disseminate new knowledge in this area. Specifically, we call for eight key initiatives: 1) the development of universal measures for ED patient care processes; 2) attention to patient outcomes, in addition to process efficiency and best practice compliance; 3) the promotion of multisite clinical operations studies to create more generalizable knowledge; 4) encouraging the use of mixed methods to understand the social community and human behavior factors that influence ED operations; 5) the creation of robust ED operations research registries to drive stronger evidence-based research; 6) prioritizing key clinical questions with the input of patients, clinicians, medical leadership, emergency medicine organizations, payers, and other government stakeholders; 7) more consistently defining the functional components of the ED care system, including observation units, fast tracks, waiting rooms, laboratories, and radiology subunits; and 8) maximizing multidisciplinary knowledge dissemination via emergency medicine, public health, general medicine, operations research, and nontraditional publications.
View details for DOI 10.1111/acem.12695
View details for PubMedID 26014365
View details for PubMedCentralID PMC4724862
Diagnostic implications of an elevated troponin in the emergency department.
2015; 2015: 157812
To determine the proportion of initial troponin (cTn) elevations associated with Type I MI versus other cardiovascular and noncardiovascular diagnoses in an emergency department (ED) and whether or not a relationship exists between the cTn level and the likelihood of Type I MI.In the ED, cTn is used as a screening test for myocardial injury. However, the differential diagnosis for an initial positive cTn result is not clear.Hospital medical records were retrospectively reviewed for visits associated with an initial positive troponin I-ultra (cTnI), ≥0.05 μg/L. Elevated cTnI levels were stratified into low (0.05-0.09), medium (0.1-0.99), or high (≥1.0). Discharge diagnoses were classified into 3 diagnostic groups (Type I MI, other cardiovascular, or noncardiovascular).Of 23,731 ED visits, 4,928 (21%) had cTnI testing. Of those tested, 16.3% had initial cTnI ≥0.05. Among those with elevated cTn, 11% were classified as Type I MI, 34% had other cardiovascular diagnoses, and 55% had a noncardiovascular diagnosis. Type I MI was more common with high cTnI levels (41% incidence) than among subjects with medium (9%) or low (6%).A positive cTn is most likely a noncardiovascular diagnosis, but Type I MI is far more common with cTnI levels ≥1.0.
View details for DOI 10.1155/2015/157812
View details for PubMedID 25960590
View details for PubMedCentralID PMC4415742