Evidence map›Paper›PMID 38954535›Full record

Observational studyEuropean heart journal. Acute cardiovascular care2024

Diagnosis of acute myocardial infarction in patients with renal failure using high-sensitivity cardiac troponin T.

Jonathan D Knott, Olatunde Ola, Laura De Michieli, Ashok Akula, Ramila A Mehta, Marshall Dworak, Erika Crockford, Ronstan Lobo, Joshua Slusser, Nicholas Rastas and 9 more

Abstract readObservational StudyMulticenter Study
PubMed Publisher
In one paragraph

Observational study in European heart journal. Acute cardiovascular care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Best of cardiovascular biomarkers.European heart journal. Acute cardiovascular care · 2025
    Article
  6. Article
  7. Review
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Jonathan D KnottDepartment of Cardiovascular Diseases, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, USA.ORCID 0000-0002-2331-1165
Olatunde OlaDepartment of Cardiovascular Diseases, Marshall University School of Medicine, Huntington, WV, USA.
Laura De MichieliDepartment of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padova, Padova, Italy.ORCID 0000-0003-0574-4052
Ashok AkulaDepartment of Cardiovascular Diseases, University of Arkansas for Medical Sciences, Little Rock, AK, USA.
Ramila A MehtaDepartment of Quantitative Health Sciences, Mayo College of Medicine, Rochester, MN, USA.
Marshall DworakDepartment of Cardiovascular Diseases, Mayo Clinic Health System, La Crosse, WI, USA.
Erika CrockfordDepartment of Family Medicine, Mayo Clinic Health System, La Crosse, WI, USA.
Ronstan LoboDepartment of Cardiovascular Diseases, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, USA.
Joshua SlusserDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.
Nicholas RastasDepartment of Cardiovascular Diseases, Mayo Clinic Health System, La Crosse, WI, USA.
Swetha KarturiDivision of Hospital Internal Medicine, Mayo Clinic Health System, La Crosse, WI, USA.
Scott WohlrabDepartment of Laboratory Medicine and Pathology, Mayo Clinic Health System, La Crosse, WI, USA.
David O HodgeDepartment of Quantitative Health Sciences, Mayo College of Medicine, Jacksonville, FL, USA.
Eric GrubeDepartment of Emergency Medicine, Mayo Clinic Health System, La Crosse, WI, USA.
Tahir TakDepartment of Cardiovascular Medicine, Kirk Kekorian School of Medicine at UNLV, Las Vegas, NV, USA.
Charles CaginDepartment of Family Medicine, Mayo Clinic Health System, La Crosse, WI, USA.
Rajiv GulatiDepartment of Cardiovascular Diseases, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, USA.
Yader SandovalMinneapolis Heart Institute, Abbott Northwestern Hospital, and Center for Coronary Artery Disease, Minneapolis Heart Institute Foundation, Minneapolis, MN, USA.
Allan S JaffeDepartment of Cardiovascular Diseases, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, USA.

Funding

Wayne and Kathryn Preisel Chair in Cardiovascular Disease Research
6 · The paper itself

Abstract

aimsDiagnosing myocardial infarction (MI) in patients with chronic kidney disease (CKD) is difficult as they often have increased high-sensitivity cardiac troponin T (hs-cTnT) concentrations. METHODS AND

resultsObservational US cohort study of emergency department patients undergoing hs-cTnT measurement. Cases with ≥1 hs-cTnT increase > 99th percentile were adjudicated following the Fourth Universal Definition of MI. Diagnostic performance of baseline and serial 2 h hs-cTnT thresholds for ruling-in acute MI was compared between those without and with CKD (estimated glomerular filtration rate < 60 mL/min/1.73 m2). The study cohort included 1992 patients, amongst whom 501 (25%) had CKD. There were 75 (15%) and 350 (70%) patients with CKD and 80 (5%) and 351 (24%) without CKD who had acute MI and myocardial injury. In CKD patients with baseline hs-cTnT thresholds of ≥52, >100, >200, or >300 ng/L, positive predictive values (PPVs) for MI were 36% (95% CI 28-45), 53% (95% CI 39-67), 73% (95% CI 50-89), and 80% (95% CI 44-98), and in those without CKD, 61% (95% CI 47-73), 69% (95% CI 49-85), 59% (95% CI 33-82), and 54% (95% CI 25-81). In CKD patients with a 2 h hs-cTnT delta of ≥10, >20, or >30 ng/L, PPVs were 66% (95% CI 51-79), 86% (95% CI 68-96), and 88% (95% CI 68-97), and in those without CKD, 64% (95% CI 50-76), 73% (95% CI 57-86), and 75% (95% CI 58-88).

conclusionDiagnostic performance of standard baseline and serial 2 h hs-cTnT thresholds to rule-in MI is suboptimal in CKD patients. It significantly improves when using higher baseline thresholds and delta values.

Indexed as

BiomarkersMyocardial InfarctionTroponin TAgedEmergency Service, HospitalFemaleGlomerular Filtration RateHumansMaleMiddle AgedRenal Insufficiency, ChronicBiomarkersTroponin TChronic kidney diseaseHigh-sensitivity cardiac troponin TMyocardial infarction

Identifiers

PMID38954535

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.