Accessibility settings

This paper is in the following e-collection/theme issue:

Discretionary Corrigenda (27)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/96740, first published .
Correction: Complete Blood Count–Derived Inflammation Indices to Predict 3-Year All-Cause Mortality in Patients With Diabetes and Acute Myocardial Infarction in Critical Care: Retrospective Cohort Study With Single-Center External Validation

Correction: Complete Blood Count–Derived Inflammation Indices to Predict 3-Year All-Cause Mortality in Patients With Diabetes and Acute Myocardial Infarction in Critical Care: Retrospective Cohort Study With Single-Center External Validation

Correction: Complete Blood Count–Derived Inflammation Indices to Predict 3-Year All-Cause Mortality in Patients With Diabetes and Acute Myocardial Infarction in Critical Care: Retrospective Cohort Study With Single-Center External Validation

Authors of this article:

Tong Zhou1 Author Orcid Image ;   Kun Yang2 Author Orcid Image ;   Ying Yang1 Author Orcid Image ;   Song-Mei Liu1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

    Corrigenda and Addenda

    1Department of Clinical Laboratory, Center for Gene Diagnosis and Program of Clinical Laboratory, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China

    2Department of Pharmaceutical Sciences, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China

    Corresponding Author:

    Song-Mei Liu

    Department of Clinical Laboratory

    Center for Gene Diagnosis and Program of Clinical Laboratory

    Zhongnan Hospital of Wuhan University

    No. 169 Donghu Road, Wuchang District

    Wuhan, Hubei, 430071

    China

    Phone: 86 027 67813233

    Email: smliu@whu.edu.cn



    In “Complete Blood Count–Derived Inflammation Indices to Predict 3-Year All-Cause Mortality in Patients With Diabetes and Acute Myocardial Infarction in Critical Care: Retrospective Cohort Study With Single-Center External Validation” [1], the authors made one correction.

    In the originally published manuscript, the affiliation for all authors was listed as:

    Zhongnan Hospital of Wuhan University, Wuhan, China

    The affiliation has been revised and now includes two departments, as follows:

    Tong Zhou1, MS; Kun Yang2, PhD; Ying Yang1, PhD; Song-Mei Liu1, Prof Dr
    1Department of Clinical Laboratory, Center for Gene Diagnosis and Program of Clinical Laboratory, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
    2Department of Pharmaceutical Sciences, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China

    The correction will appear in the online version of the paper on the JMIR Publications website, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

    1. Zhou T, Yang K, Yang Y, Liu S-M. omplete blood count–derived inflammation indices to predict 3-year all-cause mortality in patients with diabetes and acute myocardial infarction in critical care: retrospective cohort study with single-center external validation. JMIR Med Inform. Mar 12, 2026;14:e83328. [FREE Full text] [CrossRef] [Medline]

    This is a non–peer-reviewed article. submitted 31.Mar.2026; accepted 07.Apr.2026; published 05.May.2026.

    Copyright

    ©Tong Zhou, Kun Yang, Ying Yang, Song-Mei Liu. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 05.May.2026.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://medinform.jmir.org/, as well as this copyright and license information must be included.