Point-of-Care Testing Reduces Length of Stay in Emergency Department Chest Pain Patients

Comparative Study of Laboratory Versus Bedside High-Sensitivity Troponin I in the Emergency Medicine Department of a Tertiary Care Hospital in India

BACKGROUND

 Evaluating high-sensitivity troponin I levels in emergency medicine is critical for diagnosing acute myocardial infarction (AMI). This study aims to evaluate the central laboratory versus bedside troponin I test in the emergency department of a tertiary care center.

MATERIAL AND METHODS

 This prospective observational study was conducted at Dr. D. Y. Patil Medical College, Hospital and Research Centre, Pune, Maharashtra, India, from October to December 2023. Patient samples were analyzed in the central laboratory using the Dimension EXL 200 (Siemens® Healthcare Diagnostics Inc., Erlangen, Germany) as the gold standard test and through point-of-care testing using the TriageTrue® (Quidel Corporation, San Diego, CA) high-sensitivity troponin I kit, which was run on the Triage® MeterPro® device (Quidel Corporation, San Diego, CA). This device quantitatively determines troponin I in ethylenediaminetetraacetic acid-anticoagulated whole blood and plasma specimens. The results were compared. Statistical analysis was performed using SPSS version 18 (SPSS Inc., Chicago, IL). An unpaired t-test was performed to compare the difference in time taken using the two testing methods.

RESULT

 The mean time for obtaining troponin I results was substantially shorter with bedside testing (14.91 minutes, standard deviation (SD) = 0.5) than with laboratory testing (119.1 minutes, SD = 5.03). Statistical analysis revealed a significant difference (t = -172.36, p < 0.001). A chi-square test was conducted to assess the disparity between the two testing methods, yielding a chi-square value of 32.64 and a p value of 0.00001, indicating a significant difference between bedside testing and laboratory testing.

CONCLUSION

The bedside high-sensitivity troponin I test offers a considerable advantage over laboratory testing regarding turnaround time within the emergency medicine department in India. This rapid diagnostic capability is crucial for timely management, which is beneficial for patients inconclusive of acute coronary syndrome-like non-ST segment elevation myocardial infarction (NSTEMI). It is also cost-effective. It also reduces the emergency boarding time and may reduce the number of unnecessary admissions in healthcare facilities.

The Role of Point-of-Care Testing to Improve Acute Care and Health Care Services

Health care is one of the most important services that need to be provided to any community. Many challenges exist in delivering proper and effective health services, including ensuring timely delivery, providing adequate care through effective management and achieving good outcomes. Point-of-care testing (POCT) plays a crucial role in delivering urgent and appropriate health services, especially in peripheral communities, emergency situations, disaster areas and overcrowded areas. We collected and reviewed secondary data about point-of-care testing from PubMed, Scopus and Google Scholar. Our findings emphasize that POCT provides fast care with minimal waiting time, avoids unnecessary investigations, aids in triage, and provides decision-makers with a clear understanding of the patient's condition to make informed decisions. We recommend point-of-care testing as a frontline investigation in emergency departments, intensive care units, peripheral hospitals, primary health care centers, disaster areas and field hospitals. Point-of-care testing can improve the quality of health services and ensure the provision of necessary health care.

Antimicrobial prescribing after rapid influenza PCR implementation in the emergency department

INTRO

Influenza shares common symptoms with bacterial pneumonia, which may result in unnecessary antibiotic prescriptions in the emergency department (ED) when the diagnosis is unknown. Rapid influenza polymerase chain reaction (PCR) tests have reduced turnaround times compared to standard multiplex PCR respiratory panels allowing for earlier diagnosis, which may improve antimicrobial stewardship outcomes in the ED. This study aims to compare antibiotic and antiviral use before and after deployment of the rapid influenza PCR in the ED.

METHODS

This single-center, retrospective, cohort study included pediatric and adult patients discharged from the ED with a positive influenza test using a standard multiplex PCR respiratory panel (January 2017 - July 2019) or rapid PCR (July 2019 - February 2020). The primary endpoint was number of antibiotic prescriptions pre- and post-implementation of the rapid influenza PCR in the ED. Secondary endpoints included number of antiviral prescriptions, duration of antimicrobial therapy, test turnaround time, ED length of stay, 30-day readmission, and adverse events. A multivariable logistic regression evaluated patient factors associated with antimicrobial prescribing.

RESULTS

A total of 620 positive influenza results were identified with 280 patients (standard multiplex PCR = 33; rapid PCR = 247) meeting inclusion criteria. Patients were less likely to be prescribed antibiotics (39.4% vs 8.9%, OR 0.15, 95% CI 0.067-0.34) and more likely to be prescribed antivirals (24.2% vs 61.1%, OR 4.92, 95% CI 2.13-11.34) with the rapid influenza PCR. Rapid influenza PCR significantly reduced ED length of stay (4.9 vs 3.4 h, p < 0.01) and test turnaround time (27 h vs 3.5 h, p < 0.01). Patients at high risk for complications associated with influenza were more likely to be prescribed antiviral therapy (22.7% vs 67.8%, OR 7.16, 95% CI 2.52-20.40). Based on the regression analysis conducted, asthma, (OR 3.5, 95% CI 1.48-8.26), immunosuppression (OR 9.6, 95% CI 1.18-78.2), and age <5 years old (OR 3.1, 95% CI 1.80-5.45) were predictors of antiviral prescribing.

CONCLUSION

Implementation of a rapid influenza PCR in the ED reduced antibiotic use and optimized antiviral therapy for patients with influenza including those at higher risk of complications.

Deep learning on lateral flow immunoassay for the analysis of detection data

Lateral flow immunoassay (LFIA) is an important detection method in vitro diagnosis, which has been widely used in medical industry. It is difficult to analyze all peak shapes through classical methods due to the complexity of LFIA. Classical methods are generally some peak-finding methods, which cannot distinguish the difference between normal peak and interference or noise peak, and it is also difficult for them to find the weak peak. Here, a novel method based on deep learning was proposed, which can effectively solve these problems. The method had two steps. The first was to classify the data by a classification model and screen out double-peaks data, and second was to realize segmentation of the integral regions through an improved U-Net segmentation model. After training, the accuracy of the classification model for validation set was 99.59%, and using combined loss function (WBCE + DSC), intersection over union (IoU) value of segmentation model for validation set was 0.9680. This method was used in a hand-held fluorescence immunochromatography analyzer designed independently by our team. A Ferritin standard curve was created, and the T/C value correlated well with standard concentrations in the range of 0-500 ng/ml (R ² = 0.9986). The coefficients of variation (CVs) were ≤ 1.37%. The recovery rate ranged from 96.37 to 105.07%. Interference or noise peaks are the biggest obstacle in the use of hand-held instruments, and often lead to peak-finding errors. Due to the changeable and flexible use environment of hand-held devices, it is not convenient to provide any technical support. This method greatly reduced the failure rate of peak finding, which can reduce the customer's need for instrument technical support. This study provided a new direction for the data-processing of point-of-care testing (POCT) instruments based on LFIA.

Exosomal Composition, Biogenesis and Profiling Using Point-of-Care Diagnostics—Implications for Cardiovascular Disease

Arteriosclerosis is an important age-dependent disease that encompasses atherosclerosis, in-stent restenosis (ISR), pulmonary hypertension, autologous bypass grafting and transplant arteriosclerosis. Endothelial dysfunction and the proliferation of vascular smooth muscle cell (vSMC)-like cells is a critical event in the pathology of arteriosclerotic disease leading to intimal-medial thickening (IMT), lipid retention and vessel remodelling. An important aspect in guiding clinical decision-making is the detection of biomarkers of subclinical arteriosclerosis and early cardiovascular risk. Crucially, relevant biomarkers need to be good indicators of injury which change in their circulating concentrations or structure, signalling functional disturbances. Extracellular vesicles (EVs) are nanosized membraneous vesicles secreted by cells that contain numerous bioactive molecules and act as a means of intercellular communication between different cell populations to maintain tissue homeostasis, gene regulation in recipient cells and the adaptive response to stress. This review will focus on the emerging field of EV research in cardiovascular disease (CVD) and discuss how key EV signatures in liquid biopsies may act as early pathological indicators of adaptive lesion formation and arteriosclerotic disease progression. EV profiling has the potential to provide important clinical information to complement current cardiovascular diagnostic platforms that indicate or predict myocardial injury. Finally, the development of fitting devices to enable rapid and/or high-throughput exosomal analysis that require adapted processing procedures will be evaluated.

Relevant Biomarkers in Medical Practices: An Analysis of the Needs Addressed by an International Survey

(1) Backround: Technological advances should foster gains in physicians’ efficiency. For example, a reduction of the medical decision time can be enabled by faster biological tests. The main objective of this study was to collect responses from an international panel of physicians on their needs for biomarkers and also to convey the improvement in the outcome to be made possible by the potential development of fast diagnostic tests for these biomarkers. (2) Methods: we distributed a questionnaire on the Internet to physicians. (3) Results: 508 physicians participated in this survey. The mean age was 38 years. General practice and emergency medicine were heavily represented, with 95% CIs of 44% (39.78, 48.41) and 32% (27.84, 35.94)), respectively. The two most represented countries were France (95% CI: 74% (70.20, 77.83)) and the USA (95% CI: 11% (8.65, 14.18)). Ninety-eight percentages of the physicians thought that obtaining cited biomarkers more quickly would be beneficial to their practice and to patient’s care. The main biomarkers of interest identified by our panel were troponin (95% CI: 51% (46.24, 54.94)), C-reactive protein (95% CI: 42% (38.03, 46.62)), D-dimer (95% CI: 29% (24.80, 32.68)), and brain natriuretic peptide (95% CI: 13% (10.25, 16.13)). (4) Conclusions: Our study highlights the real technological need for fast biomarker results, which could be provided by biosensors. The relevance of some answers such as troponin is questionable.

Advances in point-of-care testing for cardiovascular diseases

Point-of-care testing (POCT) is a specific format of diagnostic testing that is conducted without accompanying infrastructure or sophisticated instrumentation. Traditionally, such rapid sample-to-answer assays provide inferior analytical performances to their laboratory counterparts when measuring cardiac biomarkers. Hence, their potentially broad applicability is somewhat bound by their inability to detect clinically relevant concentrations of cardiac troponin (cTn) in the early stages of myocardial injury. However, the continuous refinement of biorecognition elements, the optimization of detection techniques, and the fabrication of tailored fluid handling systems to manage the sensing process has stimulated the production of commercial assays that can support accelerated diagnostic pathways. This review will present the latest commercial POC assays and examine their impact on clinical decision-making. The individual elements that constitute POC assays will be explored, with an emphasis on aspects that contribute to economically feasible and highly sensitive assays. Furthermore, the prospect of POCT imparting a greater influence on early interventions for medium to high-risk individuals and the potential to re-shape the paradigm of cardiovascular risk assessments will be discussed.

United States' Performance on Emergency Department Throughput, 2006 to 2016

STUDY OBJECTIVE

Studies of early data found that US emergency departments (EDs) were characterized by prolonged patient waiting, long visit times, frequent and prolonged boarding (ie, patients kept waiting in ED hallways or other space outside the ED on admission to the hospital), and patients leaving without receiving or completing treatment. We sought to assess recent trends in ED throughput nationally.

METHODS

This was a retrospective cross-sectional analysis of data from the National Hospital Ambulatory Medical Care Survey from 2006 to 2016. We used survey-weighted generalized linear models to assess changes over time. The primary outcome variables were the number of visits, wait time to consult a physician, length of visit (time from arrival to leaving for home or hospital ward), boarding time, the proportion of patients leaving without being seen, the proportion treated within recommended waiting times, and the proportion dispositioned within 4, 6, and 8 hours.

RESULTS

Between 2006 and 2016, the number of ED visits increased from 119.2 million to 145.6 million. During this period, annual median wait time decreased from 31 minutes (interquartile range 14 to 67) to 17 minutes (interquartile range 6 to 45). The proportion of patients who left without being seen declined from 2.0% (95% confidence interval [CI] 1.7% to 2.4%) to 1.1% (95% CI 0.8% to 1.4%). The proportion treated by a qualified practitioner within recommended waiting times increased from 75.5% (95% CI 72.7% to 78.3%) to 80.8% (95% CI 77.2% to 84.4%). Overall, there was no statistically significant change in median length of visit. However, over time, decreased proportions of the sickest patients were discharged within 4, 6, and 8 hours, whereas increased proportions of low-acuity patients were discharged within 4 hours. The distribution of patient boarding time remained fairly unchanged from 2009 to 2015, with a median of approximately 75 minutes.

CONCLUSION

Overall, there was improvement in ED timeliness from 2006 to 2016. However, we observed a decrease in the proportion of the sickest patients discharged within 8 hours of arrival, although this may be due to increased ancillary testing or specially consultation over time.

Point-of-Care Testing for the Emergency Department Patient: Quantity and Quality of the Available Evidence

CONTEXT.—

Point-of-care test (POCT) instruments produce lab results with rapid turnaround times. Based on that fact, emergency department (ED) POCT requests are predicated on the belief that rapid test turnaround times lead to improved care, typically a decreased ED length of stay (LOS).

OBJECTIVE.—

To compile the available peer-reviewed data regarding use of POCT in the ED with an emphasis on ED-LOS.

DATA SOURCES.—

An English-language PubMed search using the following free text terms: ("EMERGENCY" AND "POINT OF CARE") NOT ULTRASOUND as well as "RAPID INFECTIOUS DISEASE TESTING." In addition, the PubMed "similar articles" functionality was used to identify related articles that were not identified on the initial search.

CONCLUSIONS.—

Seventy-four references were identified that studied POCT ED use to determine if they resulted in significant changes in ED processes, especially ED-LOS. They were divided into 3 groups: viral-influenza (n = 24), viral-respiratory not otherwise specified (n = 8), and nonviral (n = 42). The nonviral group was further divided into the following groups: chemistry, cardiac, bacterial/strep, C-reactive protein, D-dimer, drugs of abuse, lactate, and pregnancy. Across all groups there was a trend toward a significantly decreased ED-LOS; however, a number of studies showed no change, and a third group was not assessed for ED-LOS. For POCT to improve ED-LOS it has to be integrated into existing ED processes such that a rapid test result will allow the patient to have a shorter LOS, whether it is to discharge or admission.

Implementing Point-of-Care Troponin Testing in the Emergency Department: Impact on Time to Result

INTRODUCTION

In the emergency department, troponin assays are commonly used and essential in the evaluation of chest pain and diagnosis of acute coronary syndrome. This study was designed to assess the potential impact of implementing point-of-care troponin testing by comparing the time to point-of-care laboratory result and time to conventional laboratory result.

METHODS

The study enrolled 60 ED patients deemed to need a troponin test in the evaluation of low-risk chest pain (HEART score <4 based on history, electrocardiogram, age, risk factors). Point-of-care troponin testing was performed with the same blood sample obtained for a conventional troponin assay. If the provider determined that the patient required 2 troponin tests, the second laboratory draw was used in the data collection. This was to correlate the time of laboratory result to time of disposition.

RESULTS

Of the 60 subjects enrolled, 2 subjects were excluded because of user errors with the point-of-care testing equipment and 2 others for not meeting inclusion criteria on later review. The median times for the point-of-care troponin and conventional troponin assays were 11:00 minutes (interquartile range 10:00-15:30) and 40:00 minutes (interquartile range 31:30-52:30), respectively; P < 0.001. There were 3 extreme outliers from the conventional troponin assay that significantly skewed the distribution of the mean, making the median the more accurate assessment of the central tendency.

DISCUSSION

Point-of-care troponin testing provided results in a median time 29 minutes quicker than the conventional troponin assay. This result is statistically significant and has the potential to greatly improve time to disposition in all patients with chest pain requiring a troponin assay.

Diagnostic Performance of Point-of-Care Troponin I and Laboratory Troponin T in Patients Presenting to the ED with Chest Pain: A Comparative Study

Background

Chest pain is a common symptom in patients visiting the emergency department (ED). Diagnosing acute coronary syndrome is a challenging task for emergency physicians. Evaluation of chest pain depends on clinical symptoms and signs, ECG, and cardiac enzymes. Here, we aimed to compare the diagnostic performance of the point-of-care troponin I assay with laboratory HsTnT assay in patients presenting to the ED with chest pain.

Methods

A prospective study was done at the ED of Alkhor Hospital, Hamad Medical Corporation, between March 2016 and December 2016. Patients more than 18 years old who presented to the ED with chest pain were enrolled. Patients with renal failure, initial ECG showing ST-elevation MI, or arrhythmias, and hemodynamically unstable patients were excluded. A blood sample was collected at 0 and 3 hours post-admission for POC TnI and laboratory HsTnT assay. The sensitivity, specificity, PPV, NPV, and AUC were determined and compared.

Results

Out of 313 patients enrolled, ten were excluded. At 0 hour, the POC TnI assay had a lower sensitivity (72.5% versus 97.5%) and had almost equal specificity (99.24% versus 93.2%) when compared to lab HsTnT assay. At 3 hours post-admission, the sensitivity increased to 95% versus 100%, and specificity was 100% versus 94.3% when compared to lab HsTnT. The POC TnI assay had a higher PPV than HsTnT, whereas both assays showed a high NPV at 0 and 3 hours.

Conclusion

Although the diagnostic performance of POC TnI was lower than that of Lab HsTnT at 0 hour, at 3 hours post-admission, the diagnostic performance was almost equal to that of HsTnT. Hence we conclude that chest pain in patients with a negative POC TnI at 3 hours post-admission is unlikely to be due to NSTEMI.

Impact of Early Urine Specimen Collection on Emergency Department Time to Disposition: A Randomized Controlled Trial

Background

Diagnostic testing in the ED increases the length of stay (LOS). Urinalysis testing is highlighted specifically as a source of delays. We aim to determine whether a triage-initiated urine specimen collection process decreases ED time to disposition (TTD) in ambulatory patients with abdominal pain.

Methods

This prospective, randomized controlled study was implemented at a Suburban Level One trauma ED with greater than 120,000 annual visits. A convenience sample of patients was recruited. Adult, non-ambulance patients presenting with abdominal pain were eligible. Participants were randomized into experimental and control groups. Patients in the control group provided a urine sample after physician evaluation, if ordered by the provider. Patients in the experimental group were prompted to provide a urine sample in the triage restrooms immediately after screening at the greeter desk. The UA sample was transported to the treatment area and sent to the laboratory after physician evaluation.

Results

A total of 125 control patients and 124 experimental patients were enrolled. Forty-two patients were excluded because they were unable to provide a urine sample. Patients who had a urinalysis ordered were included in statistical analysis. Final data set included 65 patients in the experimental group and 96 patients in the control group. No significant difference (p=0.5072) in disposition time between subjects in the experimental group (n=65, mean=5:17 [hours:min]) and subjects in the control group (n=96, mean=5:30) was found.

Conclusions

The triage protocol for urine specimen collection did not significantly reduce ED TTD. Further research in overcrowded EDs with long patient waiting room times may benefit from implementing a triage protocol for urine specimen collection.

The cost-effectiveness of upfront point-of-care testing in the emergency department: a secondary analysis of a randomised, controlled trial

Background

Time-saving is constantly sought after in the Emergency Department (ED), and Point-of-Care (POC) testing has been shown to be an effective time-saving intervention. However, when direct costs are compared, these tests commonly appear to be cost-prohibitive. Economic viability may become apparent when the time-saving is translated into financial benefits from staffing, time- and cost-saving. The purpose of this study was to evaluate the cost-effectiveness of diagnostic investigations utilised prior to medical contact for ED patients with common medical complaints.

Methods

This was a secondary analysis of data from a prospective, randomised, controlled trial in order to assess the cost-effectiveness of upfront, POC testing. Eleven combinations of POC equivalents of commonly-used special investigations (blood tests (i-STAT and complete blood count (CBC)), electrocardiograms (ECGs) and x-rays (LODOX® (Low Dose X-ray)) were evaluated compared to the standard ED pathway with traditional diagnostic tests. The economic viability of each permutation was assessed using the Incremental Cost Effectiveness Ratio and Cost-Effectiveness Acceptability Curves. Expenses related to the POC test implementation were compared to the control group while taking staffing costs and time-saving into account.

Results

There were 897 medical patients randomised to receive various combinations of POC tests. The most cost-effective combination was the i-STAT+CBC permutation which, based on the time saving, would ultimately save money if implemented. All LODOX®-containing permutations were costlier but still saved time. Non-LODOX® permutations were virtually 100% cost-effective if an additional cost of US$50 per patient was considered acceptable. Higher staffing costs would make using POC testing even more economical.

Conclusions

In certain combinations, upfront, POC testing is more cost-effective than standard diagnostic testing for common ED undifferentiated medical presentations – the most economical POC test combination being the i-STAT + CBC. Upfront POC testing in the ED has the potential to not only save time but also to save money.

Trial registration

ClinicalTrials.gov: NCT03102216.

Improving Emergency Department Management of Diabetic Ketoacidosis in Children

BACKGROUND

Diagnostic delays in the pediatric emergency department (ED) can lead to unnecessary interventions and prolonged ED length of stay (LOS), especially in patients with diabetes mellitus evaluated for diabetic ketoacidosis (DKA). At our institution, baseline DKA determination time (arrival to diagnosis) was 86 minutes, and 61% of patients did not meet DKA criteria. Subsequently, intravenous (IV) placement occurred in 85% of patients without DKA. We aimed to use point-of-care (POC) testing to reduce DKA determination time from 86 to 30 minutes and to reduce IV placements in patients without DKA from 85% to 20% over 18 months.

METHODS

Four key interventions (POC tests, order panels, provider guidelines, and nursing guidelines) were tested by using plan-do-study-act cycles. DKA determination time was our primary outcome, and secondary outcomes included the percentage of patients receiving IV placement and ED LOS. Process measures included the rate of use of POC testing and order panels. All measures were analyzed on statistical process control charts.

RESULTS

Between January 2015 and July 2018, 783 patients with diabetes mellitus were evaluated for DKA. After all 4 interventions, DKA determination time decreased from 86 to 26 minutes (P < .001). In patients without DKA, IV placement decreased from 85% to 36% (P < .001). ED LOS decreased from 206 to 186 minutes (P = .009) in patients discharged from the hospital after DKA evaluation. POC testing and order panel use increased from 0% to 98% and 90%, respectively.

CONCLUSIONS

Using quality-improvement methodology, we achieved a meaningful reduction in DKA determination time, the percentage of IV placements, and ED LOS.

Diagnosis of acute serious illness: the role of point-of-care technologies

Access to rapid diagnostic information is a core value of point-of-care (POC) technology. This is particularly relevant in acute, emergency, and critical care settings where diagnostic speed and precision directly guide the management of patients with potentially life-threatening conditions. Many POC diagnostics described in the literature, however, remain largely unproven and have yet to enter the market entirely. Only a few have traversed the translation and commercialization pathways to reach widespread clinical adoption. Moreover, even technologies that have successfully translated to the patient bedside still frequently lack an evidence base showing improvement of clinical outcomes. In this review, we present aspects of diagnosis of acute life-threatening diseases and describe the potential role of POC technologies, emphasizing the available evidence of clinical outcomes. Finally, we discuss what is needed to identify clinically meaningful new technologies and translate them toward the long-promised goal of better health through rapid POC diagnosis.

Evaluation of Molecularly Imprinted Polymers for Point-of-Care Testing for Cardiovascular Disease

Molecular imprinting is a rapidly growing area of interest involving the synthesis of artificial recognition elements that enable the separation of analyte from a sample matrix and its determination. Traditionally, this approach can be successfully applied to small analyte (<1.5 kDa) separation/ extraction, but, more recently it is finding utility in biomimetic sensors. These sensors consist of a recognition element and a transducer similar to their biosensor counterparts, however, the fundamental distinction is that biomimetic sensors employ an artificial recognition element. Molecularly imprinted polymers (MIPs) employed as the recognition elements in biomimetic sensors contain binding sites complementary in shape and functionality to their target analyte. Despite the growing interest in molecularly imprinting techniques, the commercial adoption of this technology is yet to be widely realised for blood sample analysis. This review aims to assess the applicability of this technology for the point-of-care testing (POCT) of cardiovascular disease-related biomarkers. More specifically, molecular imprinting is critically evaluated with respect to the detection of cardiac biomarkers indicative of acute coronary syndrome (ACS), such as the cardiac troponins (cTns). The challenges associated with the synthesis of MIPs for protein detection are outlined, in addition to enhancement techniques that ultimately improve the analytical performance of biomimetic sensors. The mechanism of detection employed to convert the analyte concentration into a measurable signal in biomimetic sensors will be discussed. Furthermore, the analytical performance of these sensors will be compared with biosensors and their potential implementation within clinical settings will be considered. In addition, the most suitable application of these sensors for cardiovascular assessment will be presented.

Performance of a quick pregnancy test on whole blood in early pregnancy units: a prospective cohort study

OBJECTIVE

To assess the diagnostic performance of the NG-Test human chorionic gonadotropin (hCG) WB, which is a new point-of-care (POC) hCG whole-blood test.

MATERIALS AND METHODS

This prospective study included women consulted in early pregnancy units for vaginal bleeding and/or pelvic pain with unknown pregnancy status after medical consultation including a pelvic ultrasound scan. A new POC test (the NG-Test hCG WB) and the usual laboratory serum test (considered the gold standard) were performed in patients. The results were interpreted in a blinded manner. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for the NG-Test hCG WB.

RESULTS

During the study period, 200 patients were included. The pregnancy rate was 17%. For the laboratory test, with a 5 UI/l hCG positivity threshold, the sensitivity, specificity, PPV, NPV, and Youden index of the NG-Test hCG WB were 89.7, 100, 100, 97.9, and 0.90%, respectively. Considering a 10 UI/l hCG positivity threshold, test sensitivity, specificity, PPV, NPV, and Youden index were 96.3, 100, 100, 99.3, and 0.96%, respectively. False-negative cases were either extremely brief pregnancies or residual hCG after miscarriage. The result was obtained within 5 min with the NG-Test hCG WB versus 90±31 min with the laboratory test. It was easy to use.

CONCLUSION

The NG-Test hCG WB showed a high sensitivity, specificity, PPV, and NPV. Its use as triage in the case of a negative pelvic ultrasound exam is a potential strategy to improve patient flow, with an average time saving of 85 min.

The cost of time: A randomised, controlled trial to assess the economic impact of upfront, point-of-care blood tests in the Emergency Centre

Introduction

Time and cost constraints abound in the Emergency Centre (EC). These resource-constraints are further magnified in low- and middle-income countries (LMIC). Almost half of all patients presenting to the EC require laboratory tests. Unfortunately, access to laboratory services in LMIC is commonly inadequate. Point-of-Care (POC) tests may assist to avert this shortcoming. The aims of this study were to evaluate the cost effectiveness of upfront POC blood tests performed prior to doctor assessment compared to the standard EC workflow.

Methods

A secondary analysis was performed on data from a prospective, randomised, controlled trial where patients with abdominal/chest symptoms or generalised body pain/weakness followed either the normal EC workflow pathway or one of two enhanced workflow pathways with POC tests (i-STAT with and without a complete blood count (CBC)) prior to doctor evaluation. The incremental cost effectiveness ratio (ICER) was used to perform the cost effectiveness analysis.

Results

There were 248 patients enrolled in the study. The use of the two upfront, POC test pathways significantly exceeded the primary outcome measure of a 20% reduction in treatment time. In the i-STAT + CBC group, the 31 min. time-saving translated into cost-saving of US$14.96 per patient (IECR 0.27) whereas the 21 min. time-saving in the i-STAT only group only had an additional net cost of US$3.11 per patient (IECR 0.90).

Conclusion

Upfront, POC blood tests can be utilised in the resource-constrained EC to manage patients more efficiently by saving time. This time-saving can, in fact, be more cost effective than traditional EC workflow making it an economically viable option for implementation in LMIC.

Effect of Prehospital Blood Draws on Length of Stay for Chest Pain Patients in the Emergency Department: A Pilot Study

This article provides research of cardiac biomarkers being drawn in the prehospital setting compared with the emergency department (ED) on intervals critical to the diagnosis of acute myocardial infarction. This is a retrospective chart review of patients brought to the ED of a single, urban teaching hospital by a single emergency medical service (EMS) agency with a chief complaint of "chest pain." We abstracted specific patient characteristics, intervals, positive troponin values, and rates of hemolysis from hospital records utilizing a custom data abstraction tool designed for this study through consensus of the authors. Data were compared between patients who did and did not have prehospital laboratory work performed for cardiac biomarkers utilizing parametric and nonparametric tests when appropriate. Of the initial 49 patients identified, 41 met inclusion criteria; 20 patients (49%) did not have prehospital EMS laboratory results drawn while 21 (51%) patients did have prehospital laboratory results drawn. Overall, 17% (7/41) had positive cardiac biomarkers. The groups were similar with regard to age, gender, race, and medical history. Median time (interquartile range) in minutes, from ED arrival to laboratory results available was shorter for patients with EMS laboratory results compared with those without EMS laboratory results: 53 (45-64) versus 71 (54-95) (P = .02). Time from ED arrival to disposition decision (P = .39) and total ED length of stay (P = .12) were similar between groups. In this preliminary study, prehospital laboratory results were associated with shorter times from ED arrival to the results being available.

Reliability of the CARE rule and the HEART score to rule out an acute coronary syndrome in non-traumatic chest pain patients

In patients consulting in the Emergency Department for chest pain, a HEART score ≤ 3 has been shown to rule out an acute coronary syndrome (ACS) with a low risk of major adverse cardiac event (MACE) occurrence. A negative CARE rule (≤ 1) that stands for the first four elements of the HEART score may have similar rule-out reliability without troponin assay requirement. We aim to prospectively assess the performance of the CARE rule and of the HEART score to predict MACE in a chest pain population. Prospective two-center non-interventional study. Patients admitted to the ED for non-traumatic chest pain were included, and followed-up at 6 weeks. The main study endpoint was the 6-week rate of MACE (myocardial infarction, coronary angioplasty, coronary bypass, and sudden unexplained death). 641 patients were included, of whom 9.5% presented a MACE at 6 weeks. The CARE rule was negative for 31.2% of patients, and none presented a MACE during follow-up [0, 95% confidence interval: (0.0-1.9)]. The HEART score was ≤ 3 for 63.0% of patients, and none presented a MACE during follow-up [0% (0.0-0.9)]. With an incidence below 2% in the negative group, the CARE rule seemed able to safely rule out a MACE without any biological test for one-third of patients with chest pain and the HEART score for another third with a single troponin assay.

Integrating Point-of-care Testing Into a Community Emergency Department: A Mixed-methods Evaluation

OBJECTIVE

Point-of-care testing (POCT) is a commonly used technology that hastens the time to laboratory results in emergency departments (ED). We evaluated an ED-based POCT program on ED length of stay (LOS) and time to care, coupled with qualitative interviews of local ED stakeholders.

METHODS

We conducted a mixed-methods study (2012-2016) to examine the impact of POCT in a single, community ED. The quantiative analysis involved an observational before-after study comparing time to laboratory test result (POC troponin or POC chemistry) and ED LOS after implementation of POCT, using a propensity-weighted interrupted time series analysis (ITSA). A complementary qualitative analysis involved five semistructured interviews with staff using grounded theory on the benefits and challenges to ED POCT.

RESULTS

A total of 47,399 ED visits were included in the study (24,705 in the preintervention period and 22,694 in the postintervention period). After POCT implementation, overall laboratory testing increased marginally from 61% to 62%. Central laboratory troponin and chemistry declined by > 50% and was replaced by POCT. Prior to POCT implementation, time to troponin and chemistry had declined steadily due to other improvements in laboratory efficiency. After POCT implementation, there was an immediate 20-minute further decline (p < 0.001) in both time to troponin and time to chemistry results using the propensity-weighted comparisons. However, the declining trend observed prior to POCT implementation did not continue at the same rate after implementation. Similarly, prior to POCT implementation, ED LOS declined due to other quality improvements. After POCT implementation, LOS continued declined at a similar rate. Because of this prior trend, the ITSA did not show a significant decline in LOS attributable to POCT. Common benefits of POCT perceived by staff in qualitative interviews included improved quality of care (64%) and reductions in time to test results (44%). Common challenges included concerns over POCT accuracy (32%) and technical barriers (29%).

CONCLUSION

In the study ED, implementation of POCT was associated with a reduction in time to test result for both troponin and chemistry. Local staff felt that faster time to test result improved quality of care; however, concerns were raised with POCT accuracy.

Dashboard visualizations: Supporting real-time throughput decision-making

Providing timely and effective care in the emergency department (ED) requires the management of individual patients as well as the flow and demands of the entire department. Strategic changes to work processes, such as adding a flow coordination nurse or a physician in triage, have demonstrated improvements in throughput times. However, such global strategic changes do not address the real-time, often opportunistic workflow decisions of individual clinicians in the ED. We believe that real-time representation of the status of the entire emergency department and each patient within it through information visualizations will better support clinical decision-making in-the-moment and provide for rapid intervention to improve ED flow. This notion is based on previous work where we found that clinicians' workflow decisions were often based on an in-the-moment local perspective, rather than a global perspective. Here, we discuss the challenges of designing and implementing visualizations for ED through a discussion of the development of our prototype Throughput Dashboard and the potential it holds for supporting real-time decision-making.

Factors associated with failure of emergency wait-time targets for high acuity discharges and intensive care unit admissions

Objective

Ontario established emergency department length-of-stay (EDLOS) targets but has difficulty achieving them. We sought to determine predictors of target time failure for discharged high acuity patients and intensive care unit (ICU) admissions.

Methods

This was a retrospective, observational study of 2012 Sunnybrook Hospital emergency department data. The main outcome measure was failing to meet government EDLOS targets for high acuity discharges and ICU emergency admissions. The secondary outcome measures examined factors for low acuity discharges and all admissions, as well as a run chart for 2015 – 2016 ICU admissions. Multiple logistic regression models were created for admissions, ICU admissions, and low and high acuity discharges. Predictor variables were at the patient level from emergency department registries.

Results

For discharged high acuity patients, factors predicting EDLOS target failure were having physician initial assessment duration (PIAD)>2 hours (OR 5.63 [5.22-6.06]), consultation request (OR 10.23 [9.38-11.14]), magnetic resonance imaging (MRI) (OR 19.33 [12.94-28.87]), computed tomography (CT) (OR 4.24 [3.92-4.59]), and ultrasound (US) (OR 3.47 [3.13-3.83]). For ICU admissions, factors predicting EDLOS target failure were bed request duration (BRD)>6 hours (OR 364.27 [43.20-3071.30]) and access block (AB)>1 hour (OR 217.27 [30.62-1541.63]). For discharged low acuity patients, factors predicting failure for the 4-hour target were PIAD>2 hours (OR 15.80 [13.35-18.71]), consultation (OR 20.98 [14.10-31.22]), MRI (OR 31.68 [6.03-166.54]), CT (OR 16.48 [10.07-26.98]), and troponin I (OR 13.37 [6.30-28.37]).

Conclusion

Sunnybrook factors predicting failure of targets for high acuity discharges and ICU admissions were hospital-controlled. Hospitals should individualize their approach to shortening EDLOS by analysing its patient population and resource demands.

Impact of Rapid Molecular Respiratory Virus Testing on Real-Time Decision Making in a Pediatric Emergency Department

Acute respiratory illnesses (ARIs) are usually viral [influenza, respiratory syncytial virus (RSV)] and account for 25% of emergency department (ED) peak-season visits. Laboratory PCR testing is accurate albeit slow, whereas rapid antigen testing is inaccurate. We determined the impact of bedside PCR (molecular point-of-care test; mPOCT) on pediatric ARI management. This was a prospective cohort study of consecutive pediatric patients with ED-ordered respiratory PCR test, enrolled over 9 weeks during peak flu season. On ordering, ED physicians were interviewed to ascertain real-time plans if given immediate influenza/RSV PCR results for the current patient. Two groups were compared: actual management and management adjusted for mPOCT results. We compared ED length of stay (LOS), tests ordered, and antibiotic/antiviral ordering. One-hundred thirty-six respiratory PCR panels were ordered, 71 by admitting team, 61 for ED management. Of 61 ED-initiated tests, physicians indicated in 39 cases (64%) they would change patient management were bedside viral results available. Physicians would have decreased ED LOS by 33 minutes, ordered fewer tests (18%; P < 0.001) with average patient charge savings of $669, fewer antibiotics among discharged patients (17%; P = 0.043), and increased appropriate antiviral use (13%; P = 0.023). Rapid bedside ARI mPOCT PCR has the potential to decrease ED LOS, reduce diagnostic tests and patient charges, and increase appropriate use of antibiotics and antiviral agents.

Can a Point-of-Care Troponin I Assay be as Good as a Central Laboratory Assay? A MIDAS Investigation

BACKGROUND

We aimed to compare the diagnostic accuracy of the Alere Triage Cardio3 Tropinin I (TnI) assay (Alere, Inc., USA) and the PathFast cTnI-II (Mitsubishi Chemical Medience Corporation, Japan) against the central laboratory assay Singulex Erenna TnI assay (Singulex, USA).

METHODS

Using the Markers in the Diagnosis of Acute Coronary Syndromes (MIDAS) study population, we evaluated the ability of three different assays to identify patients with acute myocardial infarction (AMI). The MIDAS dataset, described elsewhere, is a prospective multicenter dataset of emergency department (ED) patients with suspected acute coronary syndrome (ACS) and a planned objective myocardial perfusion evaluation. Myocardial infarction (MI) was diagnosed by central adjudication.

RESULTS

The C-statistic with 95% confidence intervals (CI) for diagnosing MI by using a common population (n=241) was 0.95 (0.91-0.99), 0.95 (0.91-0.99), and 0.93 (0.89-0.97) for the Triage, Singulex, and PathFast assays, respectively. Of samples with detectable troponin, the absolute values had high Pearson (R(P)) and Spearman (R(S)) correlations and were R(P)=0.94 and R(S)=0.94 for Triage vs Singulex, R(P)=0.93 and R(S)=0.85 for Triage vs PathFast, and R(P)=0.89 and R(S)=0.73 for PathFast vs Singulex.

CONCLUSIONS

In a single comparative population of ED patients with suspected ACS, the Triage Cardio3 TnI, PathFast, and Singulex TnI assays provided similar diagnostic performance for MI.

Use of point-of-care testing and early assessment model reduces length of stay for ambulatory patients in an emergency department

Background

To assess whether the use of point-of-care testing (POCT) and early assessment team (EAT) model shortens emergency department (ED) length of stay (LOS).

Methods

This prospective, observational study with comparison between three study periods was performed in three phases in a metropolitan ED with 57,000 annual visits. Data were collected from adult ambulatory patients who were discharged home. Phase 1 served as a control (n = 1559 in one month). In phase 2, a comprehensive POCT panel including complete blood count, sodium, potassium, glucose, C-reactive protein, creatinine, alkaline phosphatase, alanine aminotransferase, bilirubin, amylase, and D-dimer was launched (n = 1442 in one month). In phase 3 (n = 3356 in subsequent two months), POCT approach continued. In addition, the working process was changed by establishing an EAT consisting of an emergency medicine resident and a nurse. The team operated from 12 noon to 10 p.m. was. The primary outcome was LOS (hh:mm) in the ED. Waiting times for patients requiring laboratory testing were analysed also, including time from admission to laboratory blood sampling (A2S interval), time from blood sampling to results ready (S2R interval) and time from results to discharge (R2D interval).

Results

Median LOS of patients requiring laboratory tests in phase 1 was 3:51 (95 % confidence interval 03:38–04:04). During phase 2, introduction of POCT reduced median LOS by 29 min to 03:22 (03:12–03:31, p = 0.000). In phase 3, the EAT model reduced median LOS further by 17 min to 03:05 (02:59–03:12, p = 0.033). Altogether, the process was expedited by 46 min compared with the phase 1. Surprisingly, A2S interval was unaffected by the interventions among all patients needing laboratory testing. In comparison to phase 1, shortening of S2R interval was observed in phase 2 and 3, and that of R2D interval in all patients with laboratory assessments in phase 3.

Discussion

The present study included adult ambulatory patients and is the first one to examine the impact of comprehensive POC test panel, first alone and then with additional process change. As a result, LOS was reduced significantly for patients needing laboratory tests. Considerable shortening in LOS came from introduction of POCT, and EAT process decreased the LOS further. We used a comprehensive POC test panel in order to maximise the patient population benefiting from the positive impacts of POC on laboratory turnaround time and length of stay. In EAT, diverse setups exist, and these differences affect the interpretation of results. The process changes in phase 3 were done by rearranging work shifts and no extra resources were added. Regarding to staffing the process improvement was thus cost neutral.

Conclusions

The advantage of POCT alone compared with central laboratory seemed to lie in shorter waiting times for results and earlier discharge home. Moreover, POCT and EAT model shorten LOS additively compared with conventional processes. However, a longer time is seemingly needed to adopt a new working process in the ED, and to establish its full benefit.

Laboratory-based clinical audit as a tool for continual improvement: an example from CSF chemistry turnaround time audit in a South-African teaching hospital

INTRODUCTION

Timeliness of laboratory results is crucial to patient care and outcome. Monitoring turnaround times (TAT), especially for emergency tests, is important to measure the effectiveness and efficiency of laboratory services. Laboratory-based clinical audits reveal opportunities for improving quality. Our aim was to identify the most critical steps causing a high TAT for cerebrospinal fluid (CSF) chemistry analysis in our laboratory.

MATERIALS AND METHODS

A 6-month retrospective audit was performed. The duration of each operational phase across the laboratory work flow was examined. A process-mapping audit trail of 60 randomly selected requests with a high TAT was conducted and reasons for high TAT were tested for significance.

RESULTS

A total of 1505 CSF chemistry requests were analysed. Transport of samples to the laboratory was primarily responsible for the high average TAT (median TAT = 170 minutes). Labelling accounted for most delays within the laboratory (median TAT = 71 minutes) with most delays occurring after regular work hours (P < 0.05). CSF chemistry requests without the appropriate number of CSF sample tubes were significantly associated with delays in movement of samples from the labelling area to the technologist's work station (caused by a preference for microbiological testing prior to CSF chemistry).

CONCLUSION

A laboratory-based clinical audit identified sample transportation, work shift periods and use of inappropriate CSF sample tubes as drivers of high TAT for CSF chemistry in our laboratory. The results of this audit will be used to change pre-analytical practices in our laboratory with the aim of improving TAT and customer satisfaction.

Comparison of Result Times Between Urine and Whole Blood Point-of-care Pregnancy Testing

INTRODUCTION

Point-of-care (POC) pregnancy testing is commonly performed in the emergency department (ED). One prior study demonstrated equivalent accuracy between urine and whole blood for one common brand of POC pregnancy testing. Our study sought to determine the difference in result times when comparing whole blood versus urine for the same brand of POC pregnancy testing.

METHODS

We conducted a prospective, observational study at an urban, academic, tertiary care hospital comparing the turnaround time between order and result for urine and whole blood pregnancy tests collected according to standard protocol without intervention from the investigators. After the blood was collected, the nurse would place three drops onto a Beckman Coulter ICON 25 Rapid HCG bedside pregnancy test and set a timer for 10 minutes. At the end of the 10 minutes, the result and time were recorded on an encoded data sheet and not used clinically. The same make and model analyzer was also used for urine tests in the lab located within the ED. The primary outcome was the difference in mean turnaround time between whole blood in the ED and urine testing in the adjacent lab results. Concordance between samples was assessed as a secondary outcome.

RESULTS

265 total patients were included in the study. The use of whole blood resulted in a mean time savings of 21 minutes (95% CI 16-25 minutes) when compared with urine (p<0.001). There was 99.6% concordance between results, with one false negative urine specimen with a quantitative HCG level of 81 mIU/L.

CONCLUSION

Our results suggest that the use of whole blood in place of urine for bedside pregnancy testing may reduce the total result turnaround time without significant changes in accuracy in this single-center study.

Implementing Triage Standing Orders in the Emergency Department Leads to Reduced Physician-to-Disposition Times

Emergency departments (EDs) throughout USA have improvised various processes to curb the “national epidemic” termed ED “crowding.” Standing orders (SOs), one such process, are medical orders approved by the medical director and entered by nurses when patients cannot be seen expeditiously, expediting medical decision-making and decreasing length of stay (LOS) and time to disposition. This retrospective cohort study evaluates the impact of SOs on ED LOS and disposition time at a large university ED. Results indicate that SOs significantly improve ED throughput by reducing disposition time by up to 16.9% (p=0.04), which is especially significant in busy ED settings. SOs by themselves are not sufficient for a complete diagnostic assessment. Strategies such as having a provider in the waiting area may help make key decisions earlier.

Cost-effectiveness of point-of-care testing for dehydration in the pediatric ED

OBJECTIVES

Acute gastroenteritis (AGE) and subsequent dehydration account for a large proportion of pediatric emergency department (PED) visits. Point-of-care (POC) testing has been used in conjunction with clinical assessment to determine the degree of dehydration. Despite the wide acceptance of POC testing, little formal cost-effective analysis of POC testing in the PED exists. We aim to examine the cost-effectiveness of using POC electrolyte testing vs traditional serum chemistry testing in the PED for children with AGE.

METHODS

This was a cost-effective analysis using data from a randomized control trial of children with AGE. A decision analysis model was constructed to calculate cost-savings from the point of view of the payer and the provider. We used parameters obtained from the trial, including cost of testing, admission rates, cost of admission, and length of stay. Sensitivity analyses were performed to evaluate the stability of our model.

RESULTS

Using the data set of 225 subjects, POC testing results in a cost savings of $303.30 per patient compared with traditional serum testing from the point of the view of the payer. From the point-of-view of the provider, POC testing results in consistent mean savings of $36.32 ($8.29-$64.35) per patient. Sensitivity analyses demonstrated the stability of the model and consistent savings.

CONCLUSIONS

This decision analysis provides evidence that POC testing in children with gastroenteritis-related moderate dehydration results in significant cost savings from the points of view of payers and providers compared to traditional serum chemistry testing.

Comprehensive bedside point of care testing in critical ED patients: a before and after study

OBJECTIVE

We determined the effects of comprehensive point-of-care testing (POCT) on process of care in critically ill emergency department (ED) patients. We hypothesized that POCT would shorten ED length of stay (LOS), reduce time to test results, and reduce time to completion of intravenous (IV) contrast computed tomography (CT) imaging compared with central lab testing.

METHODS

A before and after study was performed in ED patients triaged to the critical care area. During the before period, traditional lab testing was performed, whereas in the after period, bedside POCT devices were introduced in all 15 critical care beds with 5 testing cartridges (chemistry with hemoglobin and hematocrit, troponin I, brain natriuretic peptide, lactate, and international normalized ratio [INR]). Clinical protocols indicated when POCT should be used.

RESULTS

The numbers of critical ED patients before and after introducing POCT were 1405 and 981 respectively. Test turnaround (minutes) was significantly reduced with bedside POCT for all five tests. Use of POCT reduced the median [interquartile range] time to completion of IV contrast CT by 81 minutes (96 [55-214] vs 177 [78-300]; P = .004). Point-of-care testing significantly reduced median ED LOS in patients who received an IV contrast CT (260 [180-410] vs 347 [347 (202-523]; P = .03).

CONCLUSIONS

Introduction of comprehensive bedside POCT in critical ED patients is associated with significant reductions in test turnaround, and time to completion of CT scanning when IV contrast is required. ED LOS was also reduced in the latter population.

Effectiveness of practices for improving the diagnostic accuracy of Non ST Elevation Myocardial Infarction in the Emergency Department: A Laboratory Medicine Best Practices™ systematic review

OBJECTIVES

This article is a systematic review of the effectiveness of four practices (assay selection, decision point cardiac troponin (cTn) threshold selection, serial testing, and point of care testing) for improving the diagnostic accuracy Non-ST-Segment Elevation Myocardial Infarction (NSTEMI) in the Emergency Department.

DESIGN AND METHODS

The CDC-funded Laboratory Medicine Best Practices (LMBP) Initiative systematic review method for quality improvement practices was used.

RESULTS

The current ACC/AHA guidelines recommend using cardiac troponin assays with a 99th percentile upper reference limit (URL) diagnostic threshold to diagnose NSTEMI. The evidence in this systematic review indicates that contemporary sensitive cTn assays meet the assay profile requirements (sensitivity, specificity, PPV, and NPV) to more accurately diagnose NSTEMI than alternate tests. Additional biomarkers did not increase diagnostic effectiveness of cTn assays. Sensitivity, specificity, and NPV were consistently high and low PPV improved with serial sampling. Evidence for use of point of care cTn testing was insufficient to make recommendation, though some evidence suggests that use may result in reduction to patient length of stay and costs.

CONCLUSIONS

Based on the review of and the LMBP(TM) A-6 Method criteria, we recommend the use of cardiac troponin assays without additional biomarkers using the 99th percentile URL as the clinical diagnostic threshold for the diagnosis of NSTEMI. We recommend serial sampling with one sample at presentation and at least one additional second sample taken at least 6h later to identify a rise or fall in the troponin level. No recommendation is made either for or against the use of point of care tests.

DISCLAIMER

The findings and conclusions in this article are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention/the Agency for Toxic Substances and Disease Registry (CDC/ATSDR).

Point-of-care testing in the overcrowded emergency department--can it make a difference?

Emergency departments (EDs) face several challenges in maintaining consistent quality care in the face of steadily increasing public demand. Improvements in the survival rate of critically ill patients in the ED are directly related to the advancement of early recognition and treatment. Frequent episodes of overcrowding and prolonged waiting times force EDs to operate beyond their capacity and threaten to impact upon patient care. The objectives of this review are as follows: (a) to establish overcrowding as a threat to patient outcomes, person-centered care, and public safety in the ED; (b) to describe scenarios in which point-of-care testing (POCT) has been found to ameliorate factors thought to contribute to overcrowding; and (c) to discuss how POCT can be used directly, and indirectly, to expedite patient care and improve outcomes. Various studies have shown that overcrowding in the ED has profound effects on operational efficiency and patient care. Several reports have quantified overcrowding in the ED and have described a relationship between heightened periods of overcrowding and delays in treatment, increased incidence of adverse events, and an even greater probability of mortality. In certain scenarios, POCT has been found to increase the number of patients discharged in a timely manner, expedite triage of urgent but non-emergency patients, and decrease delays to treatment initiation. This review concludes that POCT, when used effectively, may alleviate the negative impacts of overcrowding on the safety, effectiveness, and person-centeredness of care in the ED.

Academic College of Emergency Experts in India's INDO-US Joint Working Group and OPUS12 Foundation Consensus Statement on Creating A Coordinated, Multi-Disciplinary, Patient-Centered, Global Point-of-Care Biomarker Discovery Network

Biomarker science brings great promise to clinical medicine. This is especially true in the era of technology miniaturization, rapid dissemination of knowledge, and point-of-care (POC) implementation of novel diagnostics. Despite this tremendous progress, the journey from a candidate biomarker to a scientifically validated biomarker continues to be an arduous one. In addition to substantial financial resources, biomarker research requires considerable expertise and a multidisciplinary approach. Investigational designs must also be taken into account, with the randomized controlled trial remaining the “gold standard”. The authors present a condensed overview of biomarker science and associated investigational methods, followed by specific examples from clinical areas where biomarker development and/or implementation resulted in tangible enhancements in patient care. This manuscript also serves as a call to arms for the establishment of a truly global, well-coordinated infrastructure dedicated to biomarker research and development, with focus on delivery of the latest discoveries directly to the patient via point-of-care technology.

Effect of troponin I Point-of-Care testing on emergency department throughput measures and staff satisfaction

Emergency departments (EDs) are challenged to provide rapid triage and evaluation to make appropriate patient disposition and timely treatment decisions. Cardiac troponin is the preferred biomarker for evaluation of patients with chest pain. The objective of this before-and-after study was to determine the impact of Point-of-Care (POC) troponin testing on turnaround times, door-to-troponin result times, ED length of stay (LOS) in patients with chest pain, and staff satisfaction with POC testing. After POC implementation, the average door-to-troponin result time significantly decreased from 105 to 51 min (p < 0.000). The average LOS decreased from 290 to 255 min; however, the change was not significant (p = 0.082). The majority of nurses (81%) felt that POC testing encouraged communication among patient care team members, and satisfaction was high with 82% of all ED staff members rating their satisfaction as excellent.

Root cause analysis of delays to discharge for patients held for serial cardiac troponin levels

OBJECTIVE

Emergency department (ED) patients with symptoms of cardiac ischemia often require a second cardiac troponin (cTn) measurement to rule out non-ST elevation myocardial infarction. We measured the total turnaround time and the component event times following the ordering of the second cTn level to ED discharge to identify root causes of delays.

METHODS

We reviewed a random sample of ED discharges following a second normal cTn measurement and recorded associated event times. The central tendency of time intervals is reported as median and mean number of minutes with interquartile ranges (IQRs) and 95% confidence intervals, respectively.

RESULTS

From 9,656 eligible cases, we randomly selected 226 for data collection. The median number of minutes for each event are as follows: from ordering the second cTn measurement to the time of ED discharge was 90 minutes (IQR 65-120); for blood collection from the time the collection was ordered for was 0 minutes (IQR -12-0); from blood collection to the time the blood was transported to the laboratory was 9 minutes (IQR 2-19); laboratory process duration was 44 minutes (IQR 39-52); from when the results were available to the time the patient was discharged was 30 minutes (IQR 15-52).

CONCLUSIONS

For ED patients discharged following two normal cTn levels, the laboratory processing time and time from the result being available to the time of ED discharge represent the longest modifiable time periods to reduce ED length of stay.

Impact from point-of-care devices on emergency department patient processing times compared with central laboratory testing of blood samples: a randomised controlled trial and cost-effectiveness analysis

OBJECTIVE

To determine if time to disposition decisions for emergency department (ED) patients can be reduced when blood tests are processed using point-of-care (POC) devices and to conduct a cost-effectiveness analysis of POC compared with laboratory testing.

METHODS

This randomised trial enrolled adults suspected of an acute coronary syndrome or presenting with conditions considered to only require blood tests available by POC. Participants were randomised to have blood tests processed by POC or laboratory. Outcomes measured were time to disposition decision and ED length-of-stay (LOS). The cost-effectiveness analysis calculated the total and mean costs per ED presentation, as well as total and mean benefits in time saved to disposition decision.

RESULTS

There were 410 POC participants and 401 controls. The mean times to a disposition decision for POC versus controls were 3.24 and 3.50 h respectively, a difference of 7.6% (95% CI 0.4% to 14.3%, p=0.04), and 4.32 and 4.52 h respectively for ED LOS, a difference of 4.4% (95% CI -2.7% to 11.0%, p=0.21). Improved processing time was greatest for participants enrolled by senior staff with a reduction in time to disposition decision of 19.1% (95% CI 7.3% to 29.4%, p<0.01) and ED LOS of 15.6% (95% CI 4.9% to 25.2%, p=0.01). Mean pathology costs were $12 higher in the POC group (95% CI $7 to $18) and the incremental cost-effectiveness ratio was $113 per hour saved in time to disposition decision for POC compared with standard laboratory testing.

CONCLUSIONS

Small improvements in disposition decision time were achieved with POC testing for a moderate increase in cost. Greatest benefit may be achieved when POC is targeted to senior medical staff.

Evidence-based point-of-care diagnostics: current status and emerging technologies

Point-of-care (POC) diagnostics brings tests nearer to the site of patient care. The turnaround time is short, and minimal manual interference enables quick clinical management decisions. Growth in POC diagnostics is being continuously fueled by the global burden of cardiovascular and infectious diseases. Early diagnosis and rapid initiation of treatment are crucial in the management of such patients. This review provides the rationale for the use of POC tests in acute coronary syndrome, heart failure, human immunodeficiency virus, and tuberculosis. We also consider emerging technologies that are based on advanced nanomaterials and microfluidics, improved assay sensitivity, miniaturization in device design, reduced costs, and high-throughput multiplex detection, all of which may shape the future development of POC diagnostics.

Forces driving change in medical diagnostics

This article reviews the external forces that affect and shape the future of medical diagnostics. A PESTELI model is retrospectively used to highlight the factors that drive change at an operational and management level. The author describes the future picture of clinical laboratory diagnostics and proposes ways to overcome current and pending challenges on clinical laboratories and university curriculum. An international committee with broad expertise in clinical laboratory diagnostics is proposed to examine these changes and provide guidance.

Use of a comprehensive metabolic panel point-of-care test to reduce length of stay in the emergency department: a randomized controlled trial

STUDY OBJECTIVE

Awaiting results from laboratory testing may sometimes be a rate-limiting step in emergency department (ED) throughput prolonging length of stay and contributing to crowding. We determine whether introduction of a comprehensive metabolic panel point-of-care test can reduce ED length of stay compared with traditional central laboratory testing.

METHODS

We performed a randomized, controlled trial among 10,244 noncritically ill ED patients aged 15 years and older whose physicians ordered a comprehensive metabolic panel at a single, large, academic, urban medical center. Participants were randomly assigned to performance of a comprehensive metabolic panel by a point-of-care test (n=5,154) or central laboratory testing (n=5,090). The primary outcome was length of stay in the ED.

RESULTS

A point-of-care test reduced median ED length of stay among all study patients by 22 minutes (median 350 minutes [interquartile range 206 to 1,002 minutes] with point-of-care test versus median 372 minutes [interquartile range 217 to 1,150 minutes] with central laboratory testing; median difference 22 minutes; 95% confidence interval [CI] 4 to 40 minutes). A point-of-care test also reduced ED length of stay in patients discharged to home (256 versus 268 minutes; median difference 12 minutes; 95% CI 2 to 22 minutes) and with an Emergency Severity Index triage level of 3 (333 versus 355 minutes; median difference 22 minutes; 95% CI 4 to 40 minutes).

CONCLUSION

Use of a point-of-care test for a comprehensive metabolic panel reduced ED length of stay compared with central laboratory testing in the adult ED of a single academic center.