Evidence map›Paper›PMID 42710360›Full record

ArticleClinics (Sao Paulo, Brazil)2026

Diagnosis of myocardial infarction in early presenters using 1-hour delta of high sensitive Troponin I: a pilot study.

Mohammed A Jeraiby, Johar M Iqbal, Ibrahim Ahmed Robadi, Jobran M Moshi, Mahmoud M Habibullah, Sajad Ahmad Dar, Sarah J Mobarki, Imtenan A Oberi, Yara Ajeebi, Yazan Z Omar and 1 more

Abstract read
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Article in Clinics (Sao Paulo, Brazil), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Mohammed A JeraibyDepartment of Basic Medical Science, College of Medicine, Jazan University, Jazan, Saudi Arabia. Electronic address: Mojer2011@gmill.com.
Johar M IqbalDepartment of Basic Medical Science, College of Medicine, Jazan University, Jazan, Saudi Arabia.
Ibrahim Ahmed RobadiDepartment of Basic Medical Science, College of Medicine, Jazan University, Jazan, Saudi Arabia.
Jobran M MoshiDepartment of Medical Laboratory Technology, College of Nursing and Health Science, Jazan university, Jazan, Saudi Arabia.
Mahmoud M HabibullahDepartment of Medical Laboratory Technology, College of Nursing and Health Science, Jazan university, Jazan, Saudi Arabia.
Sajad Ahmad DarDepartment of Nursing, College of Nursing and Health Sciences, Jazan University, Saudi Arabia.
Sarah J MobarkiCollege of medicine, Jazan university, Jazan, Saudi Arabia.
Imtenan A OberiCollege of medicine, Jazan university, Jazan, Saudi Arabia.
Yara AjeebiCollege of medicine, Jazan university, Jazan, Saudi Arabia.
Yazan Z OmarCollege of medicine, Jazan university, Jazan, Saudi Arabia.
Luai AlhazmiDepartment of Internal Medicine, College of medicine, Jazan university, Jazan, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe accurate and timely diagnosis of Non-ST Elevation Myocardial Infarction (NSTEMI) in early presenter is important to reduce false negative cases. We aimed to discern the diagnostic cut-off of high-sensitive cardiac Troponin I (hs-cTnI) in early presenters who lack preexisting cardiac morbidity.

methodThis is a record-based study in which we included data from 457 patients who presented to emergency care with symptoms suggestive of suspected Acute Coronary Syndrome (ACS). We calculated sensitivity and Negative Predictive Value (NPV) for rule out and specificity and Positive Predictive Value (PPV) to rule in NSTEMI at various cut-off levels of hs-cTnI. In addition, we used binary logistic regression to identify the best predictor for NSTEMI diagnosis.

resultWe observed 91% sensitivity and 79% NPV at a baseline hs-cTnI level below 2 ng/L. However, this was insufficient to rule out NSTEMI. In addition, we found 1-hour delta (absolute delta) hs-cTnI to be the best predictor of NSTEMI. To rule in NSTEMI, specificity was 95%, and PPV was 77% at 4 ng/L 1-hour delta hs-cTnI. The Area Under Curve (AUC) in the Receiver Operating Characteristic (ROC) was 0.796 (p-value = 0.001) for 1-hour delta hs-cTnI.

conclusionIn early presenters without prior heart disease, a single baseline hs-cTnI measurement below 3 ng/L provided 86% NPV, but this was insufficient for safe rule-out, confirming that serial sampling is necessary. Standard 99th percentile cut-offs performed poorly in this population. Incorporation of a 1-hour delta assessment improved diagnostic discrimination. Further, even a low 1-hour delta hs-cTnI (4 ng/L) can rule in NSTEMI. However, due to nature of this pilot study, our 4 ng/L rule-in criterion needs to be validated in further studies before being used in the clinics.

Indexed as

1-Hour delta hs-cTnIACSEmergency care assessmentHs-cTnINSTEMIRule-out and rule-In NSTEMI

Identifiers

PMID42710360
PMCPMC13573711

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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.