Dataset Information

Clinical Evaluation of a New High-Sensitivity Cardiac Troponin I Assay for Diagnosis and Risk Assessment of Patients with Suspected Acute Myocardial Infarction.

ABSTRACT:

Introduction

Current assays based on the 0-hour/1-hour (0-/1-h) algorithm using high-sensitivity cardiac troponin (hs-cTn) are limited to only Abbott Architect hs-cTnI, Siemens Vista hs-cTnI, and Roche Elecsys hs-cTnT.

Objective

This study aimed to evaluate this new hs-cTnI assay, LumipulsePresto hs Troponin I, for diagnosis of acute myocardial infarction (AMI) on admission and on 0-/1-h algorithm to stratify AMI patients precisely.

Methods

This prospective cohort study included 442 patients with suspected non-ST-elevation myocardial infarction in three hospitals in Japan and Taiwan from June 2016 to January 2019. We enrolled patients presenting to the emergency department with symptoms suggestive of AMI and collected blood samples on admission and 1 hour later. Two independent cardiologists centrally adjudicated final diagnoses; all clinical information was reviewed twice: first, using serial hs-cTnT (Roche-Elecsys, primary analysis) and Lumipulse Presto Lumipulse Presto, second, using the Lumipulse Presto hs-cTnI measurements. At first, we compared diagnostic accuracy quantified using receiver operating characteristic (ROC) curves for AMI. Then, we evaluated major adverse cardiovascular events (cardiac death, AMI) in the rule-out group according to a 0-hour/1-hour algorithm at the 30-day follow-up.

Results

Diagnostic accuracy at presentation by the ROC curve for AMI was very high and similar for the LumipulsePresto hs-cTnI and hs-cTnT,(area under the curve [AUC]: LumipulsePresto hs-cTnI, 0.89, 95% confidence interval [CI] 0.86-0.93; hs-cTnT, 0.89, 95% CI 0.85-0.93; p = 0.82). In early presenters, the LumipulsePresto hs-cTnI appeared to maintain the diagnostic performance of hs-cTn for patients with <3 h (AUC: LumipulsePresto hs-cTnI, 0.87, 95% CI 0.81-0.92; hs-cTnT, 0.86, 95% CI 0.80-0.92; p = 0.81). The algorithm using the LumipulsePresto hs-cTnI ruled out AMI in 200 patients with negative predictive value and sensitivity of 100% (95% CI 97.3%-100%) and 100% (95% CI 92.7%-100%), respectively, in the rule-out group.

Conclusion

Diagnostic accuracy and clinical utility of the novel LumipulsePresto hs-cTnI assay are high and comparable with the established hs-cTn assays.

SUBMITTER: Shiozaki M

PROVIDER: S-EPMC8117389 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Objective To evaluate how selection of patients for high sensitivity cardiac troponin testing affects the diagnosis of myocardial infarction across different healthcare settings.Design Prospective study of three independent consecutive patient populations presenting to emergency departments.Setting Secondary and tertiary care hospitals in the United Kingdom and United States.Participants High sensitivity cardiac troponin I concentrations were measured in 8500 consecutive patients presenting to emergency departments: unselected patients in the UK (n=1054) and two selected populations of patients in whom troponin testing was requested by the attending clinician in the UK (n=5815) and the US (n=1631). The final diagnosis of type 1 or type 2 myocardial infarction or myocardial injury was independently adjudicated.Main outcome measures Positive predictive value of an elevated cardiac troponin concentration for a diagnosis of type 1 myocardial infarction.Results Cardiac troponin concentrations were elevated in 13.7% (144/1054) of unselected patients, with a prevalence of 1.6% (17/1054) for type 1 myocardial infarction and a positive predictive value of 11.8% (95% confidence interval 7.0% to 18.2%). In selected patients, in whom troponin testing was guided by the attending clinician, the prevalence and positive predictive value were 14.5% (843/5815) and 59.7% (57.0% to 62.2%) in the UK and 4.2% (68/1631) and 16.4% (13.0% to 20.3%) in the US. Across both selected patient populations, the positive predictive value was highest in patients with chest pain, with ischaemia on the electrocardiogram, and with a history of ischaemic heart disease.Conclusions When high sensitivity cardiac troponin testing is performed widely or without previous clinical assessment, elevated troponin concentrations are common and predominantly reflect myocardial injury rather than myocardial infarction. These observations highlight how selection of patients for cardiac troponin testing varies across healthcare settings and markedly influences the positive predictive value for a diagnosis of myocardial infarction.

Project description:BackgroundIn suspected myocardial infarction (MI), guidelines recommend using high-sensitivity cardiac troponin (hs-cTn)-based approaches. These require fixed assay-specific thresholds and timepoints, without directly integrating clinical information. Using machine-learning techniques including hs-cTn and clinical routine variables, we aimed to build a digital tool to directly estimate the individual probability of MI, allowing for numerous hs-cTn assays.MethodsIn 2,575 patients presenting to the emergency department with suspected MI, two ensembles of machine-learning models using single or serial concentrations of six different hs-cTn assays were derived to estimate the individual MI probability (ARTEMIS model). Discriminative performance of the models was assessed using area under the receiver operating characteristic curve (AUC) and logLoss. Model performance was validated in an external cohort with 1688 patients and tested for global generalizability in 13 international cohorts with 23,411 patients.ResultsEleven routinely available variables including age, sex, cardiovascular risk factors, electrocardiography, and hs-cTn were included in the ARTEMIS models. In the validation and generalization cohorts, excellent discriminative performance was confirmed, superior to hs-cTn only. For the serial hs-cTn measurement model, AUC ranged from 0.92 to 0.98. Good calibration was observed. Using a single hs-cTn measurement, the ARTEMIS model allowed direct rule-out of MI with very high and similar safety but up to tripled efficiency compared to the guideline-recommended strategy.ConclusionWe developed and validated diagnostic models to accurately estimate the individual probability of MI, which allow for variable hs-cTn use and flexible timing of resampling. Their digital application may provide rapid, safe and efficient personalized patient care.Trial registration numbersData of following cohorts were used for this project: BACC ( www.Clinicaltrialsgov ; NCT02355457), stenoCardia ( www.Clinicaltrialsgov ; NCT03227159), ADAPT-BSN ( www.australianclinicaltrials.gov.au ; ACTRN12611001069943), IMPACT ( www.australianclinicaltrials.gov.au , ACTRN12611000206921), ADAPT-RCT ( www.anzctr.org.au ; ANZCTR12610000766011), EDACS-RCT ( www.anzctr.org.au ; ANZCTR12613000745741); DROP-ACS ( https://www.umin.ac.jp , UMIN000030668); High-STEACS ( www.Clinicaltrialsgov ; NCT01852123), LUND ( www.Clinicaltrialsgov ; NCT05484544), RAPID-CPU ( www.Clinicaltrialsgov ; NCT03111862), ROMI ( www.Clinicaltrialsgov ; NCT01994577), SAMIE ( https://anzctr.org.au ; ACTRN12621000053820), SEIGE and SAFETY ( www.Clinicaltrialsgov ; NCT04772157), STOP-CP ( www.Clinicaltrialsgov ; NCT02984436), UTROPIA ( www.Clinicaltrialsgov ; NCT02060760).