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Accepted for/Published in: JMIR Medical Informatics

Date Submitted: Jun 2, 2020
Open Peer Review Period: Jun 2, 2020 - Jun 29, 2020
Date Accepted: Jul 14, 2020
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Diagnostic Model for In-Hospital Bleeding in Patients with Acute ST-Segment Elevation Myocardial Infarction: Algorithm Development and Validation

Li Y

Diagnostic Model for In-Hospital Bleeding in Patients with Acute ST-Segment Elevation Myocardial Infarction: Algorithm Development and Validation

JMIR Med Inform 2020;8(8):e20974

DOI: 10.2196/20974

PMID: 32795995

PMCID: 7455869

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Development and external validation of a diagnostic model for in-hospital bleeding in patients with acute ST elevation myocardial infarction

  • Yong Li

ABSTRACT

Background:

Bleeding complications in patients with acute ST segment elevation myocardial infarction (STEMI) are associated with an increased risk of subsequent adverse consequences.

Objective:

We want to develop and externally validate a diagnostic model of in-hospital bleeding.

Methods:

Design: Multivariable logistic regression of a cohort for hospitalized patients with acute STEMI . Setting: Emergency department ward of a university hospital. Participants: Diagnostic model development: Totally 4262 hospitalized patients with acute STEMI from January 2002 to December 2013. External validation: Totally 6015 hospitalized patients with acute STEMI from January 2014 to August 2019. Outcomes: All-cause in-hospital bleeding not related to coronary artery bypass graft surgery or catheterization.

Results:

In-hospital bleeding occurred in 2.6%(112/4262)of patients in the development data set and 1.9%(117/6015)of patients in the validation data set. The strongest predictors of in-hospital bleeding were advanced age and high Killip classification. We developed a diagnostic model of in-hospital bleeding. The area under the receiver operating characteristic (ROC)curve (AUC) was 0.777±0.021, 95% confidence interval(CI)= 0.73576 ~ 0.81823. We constructed a nomograms using the development database based on age , and Killip classification. The AUC was 0.7234±0.0252, 95% CI= 0.67392 ~ 0.77289 in the validation data set . Discrimination, calibration, and decision curve analysis were satisfactory.

Conclusions:

We developed and externally validated a moderate diagnostic model of in-hospital bleeding in patients with acute STEMI . Clinical Trial: We registered this study with WHO International Clinical Trials Registry Platform (ICTRP) (registration number: ChiCTR1900027578; registered date: 19 Novmober 2019). http://www.chictr.org.cn/edit.aspx?pid=45926&htm=4.


 Citation

Please cite as:

Li Y

Diagnostic Model for In-Hospital Bleeding in Patients with Acute ST-Segment Elevation Myocardial Infarction: Algorithm Development and Validation

JMIR Med Inform 2020;8(8):e20974

DOI: 10.2196/20974

PMID: 32795995

PMCID: 7455869

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