English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Background: Chest pain of suspected cardiac origin is a common complaint for presentation at the emergency department; however only 10% to 13% of patients will have acute myocardial infarction (AMI). This study examined a decision support ‘rule-out’ algorithm to stratify risk of AMI in these patients. Methods: Five hundred and forty-eight patients with chest-pain of suspected cardiac origin were recruited. Blood samples were collected at presentation (t=0) and after 1, 2, 3, 6, 12 and 24 h. Serum troponin I, heart-type fatty acidbinding protein (H-FABP), myoglobin, carbonic anhydrase III (CAIII), creatine phosphokinase MB isoenzyme (CKMB) and glycogen phosphorylase isoenzyme BB (GPBB) were measured using the Randox Cardiac Plus Array; Troponin T (cTnT), high sensitivity troponin T (hs-cTnT), high sensitivity CRP (hs-CRP), NT-pro-BNP, total cholesterol, and HDL were measured using a Modular P Analyser. Clinical and demographic information was recorded for each patient. Results: For biomarker analysis, STEMIs were excluded, leaving 360 patients at presentation (72 NSTEMI and 288 non-AMI) and 320 patients at 1 h (66 NSTEMI and 254 non-AMI). A rule-out algorithm was developed based on H-FABP and hs-cTnT. When the H-FABP hs-cTnT combination algorithm was applied to the data, 106 additional patients at presentation were identified as non-AMI compared to the standard ESC algorithm, 189/288 (65.6%) vs. 83/288 (28.8%) (p<0.0005), respectively. Furthermore, the H-FABP hs-cTnT combination algorithm, identified 71% of non-AMI patients at 1 hour with no false negatives. Conclusion: Deployment of the H-FABP hs-cTnT combination algorithm at the emergency department could assist in the identification of non-AMI patients at presentation with the potential to reduce the number of hospital admissions by 106/288 (36.8%). Using the H-FABP hs-cTnT combination algorithm would have a significant impact on patient health ensuring that the appropriate care and efficient use of resources are directed to patients identified as high risk.

journal of clinical and experimental cardiology

Diagnostic Performance of a Combination Biomarker Algorithm for Rule-Out of Acute Myocardial Infarction at Time of Presentation to theEmergency Department, Using Heart-Type Fatty Acid-Binding Protein andHigh-Sensitivity Troponin T tests