Literature DB >> 24786301

Early discharge using single cardiac troponin and copeptin testing in patients with suspected acute coronary syndrome (ACS): a randomized, controlled clinical process study.

Martin Möckel1, Julia Searle2, Christian Hamm3, Anna Slagman2, Stefan Blankenberg4, Kurt Huber5, Hugo Katus6, Christoph Liebetrau3, Christian Müller7, Reinhold Muller8, Philipp Peitsmeyer4, Johannes von Recum2, Milos Tajsic5, Jörn O Vollert9, Evangelos Giannitsis6.   

Abstract

AIMS: This randomized controlled trial (RCT) evaluated whether a process with single combined testing of copeptin and troponin at admission in patients with low-to-intermediate risk and suspected acute coronary syndrome (ACS) does not lead to a higher proportion of major adverse cardiac events (MACE) than the current standard process (non-inferiority design). METHODS AND
RESULTS: A total of 902 patients were randomly assigned to either standard care or the copeptin group where patients with negative troponin and copeptin values at admission were eligible for discharge after final clinical assessment. The proportion of MACE (death, survived sudden cardiac death, acute myocardial infarction (AMI), re-hospitalization for ACS, acute unplanned percutaneous coronary intervention, coronary artery bypass grafting, or documented life threatening arrhythmias) was assessed after 30 days. Intention to treat analysis showed a MACE proportion of 5.17% [95% confidence intervals (CI) 3.30-7.65%; 23/445] in the standard group and 5.19% (95% CI 3.32-7.69%; 23/443) in the copeptin group. In the per protocol analysis, the MACE proportion was 5.34% (95% CI 3.38-7.97%) in the standard group, and 3.01% (95% CI 1.51-5.33%) in the copeptin group. These results were also corroborated by sensitivity analyses. In the copeptin group, discharged copeptin negative patients had an event rate of 0.6% (2/362).
CONCLUSION: After clinical work-up and single combined testing of troponin and copeptin to rule-out AMI, early discharge of low- to intermediate risk patients with suspected ACS seems to be safe and has the potential to shorten length of stay in the ED. However, our results need to be confirmed in larger clinical trials or registries, before a clinical directive can be propagated.
© The Author 2014. Published by Oxford University Press on behalf of the European Society of Cardiology.

Entities:  

Keywords:  Acute coronary syndrome (ACS); Acute myocardial infarction (AMI); Copeptin; Randomized controlled trial (RCT); Rule-out

Mesh:

Substances:

Year:  2014        PMID: 24786301      PMCID: PMC4320319          DOI: 10.1093/eurheartj/ehu178

Source DB:  PubMed          Journal:  Eur Heart J        ISSN: 0195-668X            Impact factor:   29.983


Introduction

Rule-out of acute myocardial infarction (AMI) is a major challenge in Emergency Medicine. Around 10% of all internal medicine emergency patients present to the Emergency Department (ED) with chest pain, but only ∼10% of these patients have an AMI as the underlying disease.[1] Due to the potential hazards of overseeing an evolving MI, most patients are subjected to 6–12 h observation on chest pain units (CPU) with the effect of an excellent prognosis at high costs.[2,3] Copeptin (CT-pro-vasopressin) is a marker of acute (haemodynamic) stress[4] and is elevated immediately at presentation of patients with AMI.[5] A series of observational studies have shown that due to complementary pathophysiology and kinetics, copeptin in combination with conventional and high sensitivity (hs) cardiac troponin (cTn) is an excellent rule-out marker for AMI[5-11] with a high negative predictive value (NPV) of up to 99%. Some studies were not able to reproduce this high NPV[12,13] or to show an added value when copeptin was combined with hsTn.[14,15] These results could partially be influenced by late copeptin testing,[12] which impacts the ability to detect an early copeptin rise, by late patient presentation or by the selection of patient cohorts including high-risk patients. These factors would lead to a higher prevalence of positive hsTn test results at presentation, thus increasing the NPV for hsTn alone. Additionally, most studies used a copeptin assay which did not allow choosing a cut-off below 14 pmol/L. So far, it has not been prospectively tested whether patients with negative copeptin and troponin test results can safely be discharged to outpatient care. The instant rule-out of AMI has a potentially high impact on future clinical practice, but safety of this strategy has to be assured. We conducted a randomized controlled trial (RCT) to assess the safety of an early discharge after rule-out of AMI with a single combined testing of troponin and copeptin at presentation to the ED/CPU when compared with the current standard process with serial troponin measurements in low-to-intermediate risk patients with suspected acute coronary syndrome (ACS). The primary endpoint was the proportion of major adverse cardiac events (MACE) at 30 days, including events during the index stay. Given that the current process of evaluating patients with ACS is regarded as very safe, a non-inferiority design was chosen to test the hypothesis.

Methods

Participants

This is a multi-centre, interventional clinical process RCT. The methods are reported in full in the protocol (notfallmedizin.charite.de/forschung_lehre/nord_campi/forschung/biomarkers_in_cardiology/). Participants were recruited in the EDs and/or CPUs in five German, one Swiss, and one Austrian site from April 2011 until May 2013. Patients were eligible if they were aged ≥18 years, presented with signs and symptoms of ACS, and had a negative troponin value at presentation. Patients were excluded if they were diagnosed with ST-elevation myocardial infarction (STEMI), if hospital admission was indicated due to high risk as defined in current guidelines (continuing chest pain or recurrent episodes of chest pain under therapy, GRACE score above 140), and if hospital admission was necessary for any other reasons. The study complies with the Declaration of Helsinki and received ethics approvals from all study sites' ethics committees. All patients provided written informed consent. The study is registered at the German Clinical Trials Register (DRKS00000276), the International Clinical Trials Registration platform of the WHO (UTN U1111-1118-1665), and at ClinicalTrials.gov (NCT0149873).

Procedures

Patients were enrolled by the treating physician and randomized using 1:1 computer-generated block randomization stratified by centre (DatInf® RandList, DatInf GmbH, Tübingen). Copeptin was measured from the same initial blood draw as the first troponin value after written informed consent and randomization. In the standard group, patients were managed according to the current guidelines for the management of patients with suspected ACS. The copeptin values were measured but not revealed to the treating staff to assure standard care. In the copeptin group, further patient management was dependent on the copeptin result. In case of a negative result, patients were considered low risk and could be discharged into ambulant care. Before discharge, patients had a final visit to secure their well-being. The final discharge decision was at the discretion of the attending physician who was allowed to overrule the biomarker result. All discharged patients had an outpatient cardiology appointment within a maximum of 3 days after discharge. In case of a positive copeptin result, patients were managed like the standard group. All patients were contacted at 30 days to assess their outcome (Supplementary material online, ).

Outcome

Primary endpoint was the proportion of combined MACE, defined as all-cause death or survived sudden cardiac death, AMI, re-hospitalization for ACS, acute unplanned percutaneous coronary intervention (PCI), coronary artery bypass grafting (CABG), and documented life-threatening arrhythmias (ventricular tachycardia, ventricular fibrillation, atrio-ventricular-block III) within 30 days, including events during the index hospital stay. Acute myocardial infarction was defined as per Universal Definition.[16] Every patient was assigned only one MACE with priority of the event that occurred first. Secondary endpoints were proportion of coronary angiography (CA), split MACE at 30 and all MACE at 90 days, major bleeding events (as per TIMI definition), and length of stay (LOS). All MACE and bleeding events were adjudicated by two independent Cardiologists blinded to copeptin result and group assignment.

Biomarker testing

Copeptin was measured from the routine blood sample at admission, using the Thermo Scientific B·R·A·H·M·S Copeptin ultrasensitive Kryptor assay. The assay has a detection limit of 0.9 pmol/L and a functional assay sensitivity of <2 pmol/L. A value of 10 pmol/L and above was considered positive. The cut-off was chosen with reference to Keller et al.[5] who determined different cut-offs in a reference population and tested the diagnostic performance of these cut-offs in an ACS population. Troponin was tested as by routine practice at the individual sites. A conventional troponin T (TnT) POCT assay (AQT 90 -Radiometer) was used at two sites (cut-off >30 ng/L). High-sensitive TnT (Roche) was used at four sites for all and at two sites for further serial troponin measurements (cut-off >14 ng/L). One site used troponin I (Siemens Dimension®-System) (cut-off level 56 ng/L) until November 2012 and troponin I (Siemens Dimension Vista®-System) thereafter (cut-off level 45 ng/L). Additional blood samples were drawn as per standard practice after 3–6 h.

Statistical analysis

All data were entered into an online electronic case report form. Statistical analyses were performed using the software packages SPSS (IBM® SPSS Statistics, Version 21) and SAS Version 9.3 (SAS® Institute Inc.). Statistical testing of categorical variables was performed using exact binomial tests; for numerical variables, t-tests (in case of normal distribution) or Wilcoxon tests (no normal distribution) were used. For the comparison between more than two groups, Kruskall–Wallis test was used. A P-value below 0.05 was considered significant. The study hypothesis was non-inferiority of the copeptin process against the standard process regarding the primary endpoint. The power calculation was based on an anticipated proportion of MACE within 30 days of 10%.[17-19] Confidence intervals (CI) for differences were calculated as one-sided 97.5% CI using the Wilson procedure with a correction for continuity.[20] The non-inferiority margin was set at 5%. Note: This means, that non-inferiority of the new process can be accepted if the lower bound of the one-sided 97.5% CI of MACE difference between both study groups does not exceed the 5% margin. The rationale for this margin was based on own data, previous studies, and expert consensus. The sample size calculation resulted in a required number of 446 participants per group (892 overall) with a power of 80% and a level of significance of 5%. In the intention to treat (ITT) analysis for the primary endpoint, all patients were analysed as randomized irrespective of protocol deviations, excluding all patients with an unknown outcome. In the per protocol (PP) analysis, all patients with protocol deviations (n = 40), over-rulers (n = 71), as well as patients with unknown outcome (n = 14) were excluded. Additionally, sensitivity analyses, assuming that all patients who were lost to follow-up (FU) (n = 14) developed either a good (no MACE) or a poor (MACE) outcome, were conducted. Patients with protocol deviations were not excluded from this sensitivity analysis and were analysed as randomized. Confidence intervals for the primary endpoint were calculated as exact binomial 95% CIs.

Results

Patient characteristics

A total of 902 patients were randomized to either the standard (n = 451) or the copeptin (n = 451) group (Figure ). Randomisation proved successful with very similar patient characteristics, risk profile, and medical history profile in the two groups (Table ). Characteristics of all patients and in the study groups Patient characteristics at admission of all patients and in the study groups as randomized. Data are shown as percent (numbers) or as stated. Abbreviations: SD, standard deviation; IQR, inter quartile ranges; BMI, body mass index. Consort flow diagram. A total of 13 patients were excluded from the study (6 patients withdrew, of 3 patients in the copeptin group, copeptin values were not available, 2 patients were troponin positive at admission, 1 patient had a ST-elevation myocardial infarction at admission, 1 patient had been randomized previously). In 72 copeptin-negative patients in the copeptin group, the treating physician decided that discharge was not possible, 71 of them were admitted to the chest pain units, 1 refused to be admitted. A total of 14 patients (1.6%) were lost to follow-up (FU) at 30 days and not considered in the complete case analysis, 8 in the copeptin and 6 in the standard group, the in-hospital FU was available for all patients. *n = 1 randomized 12 h after admission; n = 1 suspected aortic dissection at admission; **n = 5 patients were lost to 30d-FU but included in the complete case analysis (ITT). Of those n = 4 had an in-hospital major cardiac events (MACE), one patient did not have an initial event but his death date was identified in the German central registry. A total of 46 of all patients developed a MACE during the 30-day FU period. The absolute number of patients with MACE was equal between the two groups (n = 23 for both; Table , Figure ). Intention to treat analysis showed a MACE proportion of 5.17% (95% CI 3.30–7.65%) in the standard group and 5.19% (95% CI 3.32–7.69%) in the copeptin group (Table ). In the PP analysis, the MACE proportion was 5.34% (95% CI 3.38–7.97%) in the standard group, and 3.01% (95% CI 1.51–5.33%) in the copeptin group. In all four sensitivity analyses, including extreme case analyses, the non-inferiority margin was not exceeded by the one-sided 97.5% CI (Figure ). Primary endpoint analyses Analysis of the primary endpoint: All MACE within 30 days. The CIs for the absolute difference between the proportions in the respective study groups did not exceed the 5% non-inferiority margin in any analysis, confirming non-inferiority of the copeptin based process as hypothesized, even if the worst case was assumed. Major adverse cardiac events (MACE) proportions in study groups and in copeptin subgroups. Patients were randomized into copeptin and standard group, where MACE proportions were very similar. Copeptin results were only revealed to the treating staff in the copeptin group. In subgroups of copeptin-positive and copeptin-negative patients, major adverse cardiac event (MACE) rates are higher in copeptin positives. MACE proportions are lowest in discharged copeptin-negative patients. Forest plot for differences in major adverse cardiac event (MACE) proportions. Absolute differences in MACE proportions within 30 days between the study groups with one-sided 97.5% CIs. The non-inferiority margin was prospectively defined at 5%. In none of the performed analyses, the non-inferiority margin was exceeded. More information on the outcome data of the compound endpoint is shown in Supplementary material online, and Supplementary material online, . No MIs or deaths occurred in the discharged copeptin-negative patients of the copeptin group. Detailed information on copeptin-negative patients with MACE is shown in the Supplementary material online, . Diagnoses, in-hospital course, in-hospital procedures, and length of hospital stay are shown in Supplementary material online, . Of all patients, 39.8% (359/902) were discharged from the ED. In the copeptin group, 67.6% (305/451) were discharged from the ED as opposed to 12.0% (54/451) in the standard group (P<0.001; Table ). Secondary endpoints Secondary endpoints in all patients and in the respective study groups. aThe LOS for patients discharged after MI exclusion was analysed in all patients who were discharged the same day, or the day after presentation to the ED in order to include patients who were admitted to the CPU for ACS evaluation. Of the copeptin-negative patients in the copeptin group, 80.7% (296/367) were discharged from the ED, as opposed to 11.6% (41/353) of copeptin negative patients in the standard group (P < 0.001; Supplementary material online, ). The LOS for patients discharged after MI exclusion was analysed in all patients who were discharged the same day, or the day after presentation to the ED in order to also include patients who were admitted to the CPU for ACS evaluation. Median LOS was significantly shorter in the copeptin group (4 (IQR 2–6) h) than in the standard group (7 (IQR 4–9) h, P < 0.001). The PCI/CA ratio was higher in the copeptin group (47.3%) when compared with the standard group (36.6%), without reaching statistical significance (P = 0.307; Table ).

Discussion

The current study provides evidence that with appropriate clinical selection of low-to-intermediate risk patients with suspected ACS, the combination of negative troponin and negative copeptin at presentation on the basis of a thorough clinical evaluation helps identify patients who can safely be discharged into outpatient care. The MACE proportion at 30 days did not differ between the two groups confirming non-inferiority of the new process. Secondary endpoint analysis shows that the new process is effective with a reduced length of hospital stay and a higher proportion of discharges directly from the ED.

Standard process and promises of high sensitivity cardiac troponin

The standard clinical process for the acute diagnostic assessment of suspected ACS is described in current guidelines.[21] These guidelines focus on troponin measured with hs assays and on delta changes, as a number of observational studies have shown that the new assay generation might enable rule-in and rule-out of AMI earlier than conventional assays.[22-24] The exact definition of relevant troponin changes is an important and yet unsolved issue. Recent publications show conflicting delta values[25,26] and, additionally, minor delta changes may also occur in patients with AMI.[27] Additionally, hs assays identify a high number of patients with elevated troponin results without AMI, making interpretation of test results challenging. There are no interventional studies, which prospectively tested whether fast rule-out strategies with serial hsTn alone are effective and safe.

The new process

The current process of evaluating patients with suspected ACS is regarded as safe.[21] Any new process has got to prove that patient safety is not decreased by applying the new process and that it holds advantages beyond safety. The biomarker strategy of a combined copeptin-troponin rule-out of AMI has been analysed in a number of retrospective observational biomarker studies,[5,7,8] but this is the first interventional RCT evaluating the safety of early discharge. Clinicians may use the new strategy for a fast track which reserves space and resources for more severely ill patients. In addition, unnecessary treatment with anti-platelet and anti-thrombotic medications can be avoided, reducing the risk of bleeding complications. The shorter LOS potentially reduces risks of hospitalization, stress, and anxiety.

Safety issues of the new process

Previous copeptin studies have faced criticism because the NPV is not 100% and some people may argue that it is not safe to implement a strategy which seems to ‘fail’ in some patients. The combined endpoint in our study was mainly driven by PCIs performed during the index hospital stay, whereas severe events like AMI and death were rare and occurred in-hospital only. Most probably, those PCIs were not triggered only by ‘urgency’ but also by ‘occasion’. The component ‘urgent PCI’ was added to the combined endpoint as we did not want to oversee PCIs after discharge which may have prevented MIs or deaths and therefore could have masked risks in the discharged group. The event rate in copeptin-negative patients discharged was in fact very low (0.6%). Life-threatening events were not detected in copeptin-negative patients. In our study, 81.4% of patients in the copeptin group were copeptin and troponin negative. In 71 cases, the treating physician decided to overrule the negative marker result and to admit the patient to the CPU. This is an acceptable rate of overruling as the clinical responsibility needs to be in the hands of the attending physician and a ‘traditional’ and known process is usually favoured. Of the 14 copeptin-negative patients with MACE, 12 were not discharged despite their negative biomarker result. Of these, two patients were diagnosed with an NSTEMI during the initial hospital stay, but did not profit from a coronary intervention. The two copeptin-negative patients with MACE who were discharged had (i) an unplanned PCI and (ii) CABG surgery in the 30-day FU period. This is not surprising as copeptin is not a marker of coronary artery disease and the initial discharge was safe for both patients. Nevertheless, it should be highlighted that the patients in this study were scheduled for a cardiology outpatient visit within three working days and therefore a diagnostic workup was facilitated.

Limitations

A rapid rule-out of AMI with the combined biomarker testing from a single blood draw at admission is bound to cause concerns in some physicians who are used to 20 years of serial biomarker (troponin) measurements. Our study was performed in the EDs under routine conditions and by the routine ED physicians. Considering this, the number of cross-overs in our study (n = 71) should be judged as low; the majority of copeptin-negative patients were discharged early. It needs to be emphasized that any biomarker strategy must be embedded in a process of thorough physician work-up and clinical judgement. A total number of 19 patients (2.1%, Figure ) were lost to FU, which is an acceptable rate but may still have influenced the results of the trial. Notably, even the worst-case scenario sensitivity analysis, assuming a negative outcome for all patients lost to FU in the copeptin group, did not change the primary result of our study. Due to the high number of cross-overs in the copeptin-negative study group (n = 71), the results of the PP analysis, which suggests superiority of the copeptin-guided process, should be interpreted with caution. The non-inferiority margin in this study (5%) was based on an anticipated event rate of 10%. This estimate was the result of a review of own data and historical studies.[17-19] The actually observed event rate in our study, however, was 5.2% and was thus lower than expected. This lower event rate could be explained by the fact that the availability of cardiac catheterization laboratories has increased significantly during recent years and most hospitals use invasive diagnostic strategies in chest pain patients very liberally. Thus, it would be possible that a number of patients with intermediate risk (who would have been eligible to participate) were not included because discharge was not considered.[28] The low observed event rate renders the non-inferiority margin relatively wide (relative to the event rate) and thus impacts the relevance of the statistical results which therefore need further confirmation by other clinical trials or registries before they can be regarded as clinically directive.

Conclusion

As for all new interventional strategies or therapies, it will be of major interest to evaluate the safety and effectiveness of this strategy under routine conditions and in a larger number of patients. The introduction of registries at sites who implement the new strategy will show whether the new concept is really safe or—as some fear—will be abused by busy ED physicians. The current study provides evidence that on the basis of a thorough clinical work-up and single combined testing of troponin and copeptin at presentation to rule-out AMI, early discharge of low-to-intermediate risk patients with suspected ACS seems to be safe, has the potential to shorten LOS in the ED, and may therefore benefit the patient. However, as a consequence of the relatively wide non-inferiority margin, our results need to be confirmed in larger clinical trials or registries, before a clinical directive can be propagated.

Supplementary material

Supplementary material is available at

Funding

This work was supported by Thermo Scientific BRAHMS GmbH, but is an investigator initiated trial. Funding to pay the Open Access publication charges for this article was provided by BRAHMS GmbH. Conflict of interest: With respect to this trial, M.M., J.S., A.S., and J.v.R. received research grants from ThermoScientific-BRAHMS GmbH; C.H. has received speaker honoraria and is member of the advisory board for ThermoScientific-BRAHMS GmbH; S.B. has received research funding, honoraria for lectures and consulting, and is as a member of Advisory Boards for ThermoScientific-BRAHMS GmbH; C.M. has received research support, speaker honoraria, and consultancy fees from ThermoScientific-BRAHMS GmbH; J.O.V. is employed at ThermoScientific-BRAHMS GmbH; E.G. has received honoraria for lectures and consultancy fees from ThermoScientific-BRAHMS GmbH; K.H., H.K., C.L., R.M., P.P., and M.T. have no conflict of interest to declare. Click here for additional data file.
Table 1

Characteristics of all patients and in the study groups

All patients (n = 902)Standard group (n = 451)Copeptin group (n = 451)
Patient characteristics
 Age (years) (mean ± SD)54.1 ± 15.654.1 ± 15.154.1 ± 16.2
 Male sex63.2 (570)65.4 (295)61.0 (275)
Risk factors
 BMI27.3 ± 4.8627.3 ± 4.6427.3 ± 5.1
 Diabetes13.6 (123)14.0 (63)13.3 (60)
 Hypertension57.5 (519)57.0 (257)58.1 (262)
 Hyperlipidaemia43.5 (392)45.2 (204)41.7 (188)
 Family history of MI25.5 (230)22.2 (100)28.8 (130)
 Smoker32.4 (292)33.7 (152)31.0 (140)
 Ex-smoker30.8 (278)30.2 (136)31.5 (142)
 GRACE-score (mean ± SD)80.32 ± 27.679.8 ± 27.680.9 ± 27.5
 TIMI risk score (Median/IQR)1 (0–3)1 (0–2)1 (0–3)
Medical history
 Known CAD25.7 (232)24.6 (111)26.8 (121)
 Prior MI14.6 (132)15.3 (69)14.0 (63)
 Prior PCI22.2 (200)22.1 (100)22.2 100)
 Prior CABG5.0 (45)3.5 (16)6.4 (29)
 Chronic heart failure5.8 (52)4.2 (19)7.3 (33)
 Primary valve disease6.9 (62)7.1 (32)6.7 (30)
 Prior valve surgery1.2 (11)0.9 (4)1.6 (7)
 Cardiomyopathy2.1 (19)1.1 (5)3.1 (14)
 Renal disease6.2 (56)4.9 (22)7.5 (34)
Time since symptom onset
 0–3 h43.2 (345)43.8 (178)42.6 (167)
 <6 h54.8 (437)54.4 (221)55.1 (216)
 <12 h64.0 (511)62.3 (253)65.8 (258)
 Missing data n = 104 n = 45 n = 59

Patient characteristics at admission of all patients and in the study groups as randomized. Data are shown as percent (numbers) or as stated. Abbreviations: SD, standard deviation; IQR, inter quartile ranges; BMI, body mass index.

Table 2

Primary endpoint analyses

Standard group (n = 451)Copeptin group (n = 451)Absolute difference in MACE proportion (97.5% one-sided CI)
MACE at 30 days
 Yes2323
 No422422
 Unknown68
MACE % (95% CI): (absolute numbers)
 Intention to treat analysis5.17 (3.30–7.65) (23/445)5.19 (3.32–7.69) (23/443)−0.02 (−2.94)
 Per protocol analysis5.34 (3.38–7.97) (22/412)3.01 (1.51–5.33) (11/365)2.33 (−0.46)
Sensitivity analyses
 Assuming poor outcome6.43 (4.35–9.10) (29/451)6.87 (4.72–9.61) (31/451)−0.44 (−3.70)
 Assuming good outcome5.10 (3.26–7.55) (23/451)5.10 (3.26–7.55) (23/451)0.00 (−2.87)
 Extreme case: favouring standard group5.10 (3.26–7.55) (23/451)6.87 (4.72–9.61) (31/451)−1.77 (−4.87)
 Extreme case: favouring copeptin group6.43 (4.35–9.10) (29/451)5.10 (3.26–7.55) (23/451)1.33 (−1.71)

Analysis of the primary endpoint: All MACE within 30 days.

The CIs for the absolute difference between the proportions in the respective study groups did not exceed the 5% non-inferiority margin in any analysis, confirming non-inferiority of the copeptin based process as hypothesized, even if the worst case was assumed.

Table 3

Secondary endpoints

All patients n = (902)Standard group (n = 451)Copeptin group (n = 451) P-value
In-hospital course
 Discharge from ED39.8 (359)12.0 (54)67.6 (305)<0.001
Index in-hospital procedures
 CA10.6 (96)9.1 (41)12.2 (55)0.132
 PCI4.6 (41)3.3 (15)5.8 (26)0.080
 PCI/CA ratio (%)42.736.647.30.307
CABG0.2 (2)0.4 (2)
LOS in % (n)
 0–1 day85.1 (767)84.9 (383)85.1 (384)1.000
 2–5 days11.3 (102)12.4 (56)10.2 (46)0.344
 >6 days3.7 (33)2.7 (12)4.7 (21)0.155
LOS in hours (median/IQR)
 LOS for all patients6 (4–11)7 (5–13)4 (3–8)<0.001
 LOS in 0–1-day groupa5 (4–8)7 (4–9)4 (2–6)<0.001
Major bleedings in % (n)0.4 (4)0.2 (1)0.7 (3)0.573

Secondary endpoints in all patients and in the respective study groups.

aThe LOS for patients discharged after MI exclusion was analysed in all patients who were discharged the same day, or the day after presentation to the ED in order to include patients who were admitted to the CPU for ACS evaluation.

  26 in total

1.  The soft science of German cardiology.

Authors:  Wolfgang Dissmann; Michael de Ridder
Journal:  Lancet       Date:  2002-06-08       Impact factor: 79.321

2.  Chief complaints in medical emergencies: do they relate to underlying disease and outcome? The Charité Emergency Medicine Study (CHARITEM).

Authors:  Martin Mockel; Julia Searle; Reinhold Muller; Anna Slagman; Harald Storchmann; Philipp Oestereich; Werner Wyrwich; Angela Ale-Abaei; Joern O Vollert; Matthias Koch; Rajan Somasundaram
Journal:  Eur J Emerg Med       Date:  2013-04       Impact factor: 2.799

3.  Missed diagnoses of acute cardiac ischemia in the emergency department.

Authors:  J H Pope; T P Aufderheide; R Ruthazer; R H Woolard; J A Feldman; J R Beshansky; J L Griffith; H P Selker
Journal:  N Engl J Med       Date:  2000-04-20       Impact factor: 91.245

4.  Assay for the measurement of copeptin, a stable peptide derived from the precursor of vasopressin.

Authors:  Nils G Morgenthaler; Joachim Struck; Christine Alonso; Andreas Bergmann
Journal:  Clin Chem       Date:  2005-11-03       Impact factor: 8.327

5.  Adverse cardiac events in emergency department patients with chest pain six months after a negative inpatient evaluation for acute coronary syndrome.

Authors:  Alex F Manini; Michael A Gisondi; Theresa M van der Vlugt; Donald H Schreiber
Journal:  Acad Emerg Med       Date:  2002-09       Impact factor: 3.451

6.  Randomised controlled trial and economic evaluation of a chest pain observation unit compared with routine care.

Authors:  Steve Goodacre; Jon Nicholl; Simon Dixon; Elizabeth Cross; Karen Angelini; Jane Arnold; Sue Revill; Tom Locker; Simon J Capewell; Deborah Quinney; Stephen Campbell; Francis Morris
Journal:  BMJ       Date:  2004-01-14

7.  The utility of copeptin in the emergency department for non-ST-elevation myocardial infarction rapid rule out: COPED-MIRRO study.

Authors:  Pere Llorens; Miquel Sánchez; Pablo Herrero; Francisco J Martín-Sánchez; Pascual Piñera; Oscar Miró
Journal:  Eur J Emerg Med       Date:  2014-06       Impact factor: 2.799

8.  Copeptin helps in the early detection of patients with acute myocardial infarction: primary results of the CHOPIN trial (Copeptin Helps in the early detection Of Patients with acute myocardial INfarction).

Authors:  Alan Maisel; Christian Mueller; Sean-Xavier Neath; Robert H Christenson; Nils G Morgenthaler; James McCord; Richard M Nowak; Gary Vilke; Lori B Daniels; Judd E Hollander; Fred S Apple; Chad Cannon; John T Nagurney; Donald Schreiber; Christopher deFilippi; Christopher Hogan; Deborah B Diercks; John C Stein; Gary Headden; Alexander T Limkakeng; Inder Anand; Alan H B Wu; Jana Papassotiriou; Oliver Hartmann; Stefan Ebmeyer; Paul Clopton; Allan S Jaffe; W Frank Peacock
Journal:  J Am Coll Cardiol       Date:  2013-04-30       Impact factor: 24.094

9.  The role of myeloperoxidase (MPO) for prognostic evaluation in sensitive cardiac troponin I negative chest pain patients in the emergency department.

Authors:  Julia Searle; Jessie Shih; Reinhold Muller; Jörn O Vollert; Christian Müller; Oliver Danne; Saul Datwyler; Martin Möckel
Journal:  Eur Heart J Acute Cardiovasc Care       Date:  2013-09

10.  Comparison of contemporary troponin assays with the novel biomarkers, heart fatty acid binding protein and copeptin, for the early confirmation or exclusion of myocardial infarction in patients presenting to the emergency department with chest pain.

Authors:  Paul Collinson; David Gaze; Steve Goodacre
Journal:  Heart       Date:  2013-11-22       Impact factor: 5.994

View more
  48 in total

Review 1.  The ultimate nanoscale mincer: assembly, structure and active sites of the 20S proteasome core.

Authors:  W Heinemeyer; P C Ramos; R J Dohmen
Journal:  Cell Mol Life Sci       Date:  2004-07       Impact factor: 9.261

2.  Nuclear factor kappa B in patients with a history of unstable angina: case re-opened.

Authors:  Chiara Mozzini; Ulisse Garbin; Chiara Stranieri; Giulia Salandini; Giancarlo Pesce; Anna Maria Fratta Pasini; Luciano Cominacini
Journal:  Intern Emerg Med       Date:  2018-06-01       Impact factor: 3.397

3.  Early diagnosis of acute myocardial infarction in patients with mild elevations of cardiac troponin.

Authors:  Jasper Boeddinghaus; Tobias Reichlin; Thomas Nestelberger; Raphael Twerenbold; Yvette Meili; Karin Wildi; Petra Hillinger; Maria Rubini Giménez; Janosch Cupa; Lukas Schumacher; Marie Schubera; Patrick Badertscher; Sydney Corbière; Karin Grimm; Christian Puelacher; Zaid Sabti; Dayana Flores Widmer; Nicolas Schaerli; Nikola Kozhuharov; Samyut Shrestha; Tobias Bürge; Patrick Mächler; Michael Büchi; Katharina Rentsch; Òscar Miró; Beatriz López; F Javier Martin-Sanchez; Esther Rodriguez-Adrada; Beata Morawiec; Damian Kawecki; Eva Ganovská; Jiri Parenica; Jens Lohrmann; Andreas Buser; Dagmar I Keller; Stefan Osswald; Christian Mueller
Journal:  Clin Res Cardiol       Date:  2017-02-01       Impact factor: 5.460

4.  Prospective validation of a 1-hour algorithm to rule-out and rule-in acute myocardial infarction using a high-sensitivity cardiac troponin T assay.

Authors:  Tobias Reichlin; Raphael Twerenbold; Karin Wildi; Maria Rubini Gimenez; Nathalie Bergsma; Philip Haaf; Sophie Druey; Christian Puelacher; Berit Moehring; Michael Freese; Claudia Stelzig; Lian Krivoshei; Petra Hillinger; Cedric Jäger; Thomas Herrmann; Philip Kreutzinger; Milos Radosavac; Zoraida Moreno Weidmann; Kateryna Pershyna; Ursina Honegger; Max Wagener; Thierry Vuillomenet; Isabel Campodarve; Roland Bingisser; Òscar Miró; Katharina Rentsch; Stefano Bassetti; Stefan Osswald; Christian Mueller
Journal:  CMAJ       Date:  2015-04-13       Impact factor: 8.262

Review 5.  [Cardiac troponins and beyond in acute coronary syndrome].

Authors:  M Vafaie; K M Stoyanov; H A Katus; E Giannitsis
Journal:  Internist (Berl)       Date:  2019-06       Impact factor: 0.743

6.  Clinical utility of novel biomarkers in acute myocardial infarction.

Authors:  Thomas Stiermaier; Holger Thiele; Ingo Eitel
Journal:  Ann Transl Med       Date:  2016-12

Review 7.  [ESC guidelines 2020: acute coronary syndrome without persistent ST-segment elevation : What is new?]

Authors:  Holger Thiele; Alexander Jobs
Journal:  Herz       Date:  2021-02       Impact factor: 1.443

Review 8.  [Cardiac causes of chest pain].

Authors:  C Wächter; B Markus; B Schieffer
Journal:  Internist (Berl)       Date:  2017-01       Impact factor: 0.743

9.  [Essential cardiac biomarkers in myocardial infarction and heart failure].

Authors:  M Mueller; E Giannitsis; H A Katus
Journal:  Herz       Date:  2014-09       Impact factor: 1.443

Review 10.  Association Between Circulating Copeptin Level and Mortality Risk in Patients with Intracerebral Hemorrhage: a Systemic Review and Meta-Analysis.

Authors:  Ruoyu Zhang; Jin Liu; Ying Zhang; Qiang Liu; Tianlang Li; Lei Cheng
Journal:  Mol Neurobiol       Date:  2016-01-05       Impact factor: 5.590

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.