Increase in white blood cell count is associated with the development of atrial fibrillation after an acute coronary syndrome.


Journal

International journal of cardiology
ISSN: 1874-1754
Titre abrégé: Int J Cardiol
Pays: Netherlands
ID NLM: 8200291

Informations de publication

Date de publication:
01 Jan 2019
Historique:
received: 20 12 2017
revised: 08 05 2018
accepted: 04 06 2018
pubmed: 25 6 2018
medline: 25 7 2019
entrez: 25 6 2018
Statut: ppublish

Résumé

Evidence linking an elevated white blood cell count (WBCC), a marker of inflammation, to the development of atrial fibrillation (AF) after an acute coronary syndrome (ACS) is limited. We examined the association between WBCC at hospital admission, and changes in WBCC during hospitalization, with the development of new-onset AF during hospitalization for an ACS. Development of AF was based on typical ECG changes in a systematic review of hospital medical records. Increase in WBCC was calculated as the difference between maximal WBCC during hospitalization and WBCC at hospital admission. Multiple logistic regression analysis was used to adjust for several potentially confounding demographic and clinical variables in examining the association between WBCC, and changes over time therein, with the occurrence of AF. The median age of study patients (n = 1325) was 60 years, 31.8% were women, and 80.1% were non-Hispanic whites. AF developed in 7.3% of patients with an ACS. Patients who developed AF, as compared with those who did not, had a similar WBCC at admission, but a greater increase in WBCC during hospitalization (6.0 × 10 Increase in the WBCC during hospitalization for an ACS should be further studied as a potentially simple predictor for new-onset AF in these patients.

Sections du résumé

BACKGROUND BACKGROUND
Evidence linking an elevated white blood cell count (WBCC), a marker of inflammation, to the development of atrial fibrillation (AF) after an acute coronary syndrome (ACS) is limited. We examined the association between WBCC at hospital admission, and changes in WBCC during hospitalization, with the development of new-onset AF during hospitalization for an ACS.
METHODS METHODS
Development of AF was based on typical ECG changes in a systematic review of hospital medical records. Increase in WBCC was calculated as the difference between maximal WBCC during hospitalization and WBCC at hospital admission. Multiple logistic regression analysis was used to adjust for several potentially confounding demographic and clinical variables in examining the association between WBCC, and changes over time therein, with the occurrence of AF.
RESULTS RESULTS
The median age of study patients (n = 1325) was 60 years, 31.8% were women, and 80.1% were non-Hispanic whites. AF developed in 7.3% of patients with an ACS. Patients who developed AF, as compared with those who did not, had a similar WBCC at admission, but a greater increase in WBCC during hospitalization (6.0 × 10
CONCLUSION CONCLUSIONS
Increase in the WBCC during hospitalization for an ACS should be further studied as a potentially simple predictor for new-onset AF in these patients.

Identifiants

pubmed: 29936044
pii: S0167-5273(17)37883-X
doi: 10.1016/j.ijcard.2018.06.007
pii:
doi:

Types de publication

Journal Article Multicenter Study

Langues

eng

Pagination

138-143

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2018 Elsevier B.V. All rights reserved.

Auteurs

Hoang V Tran (HV)

Department of Quantitative Health Sciences, University of Massachusetts Medical School, United States.

Nathaniel A Erskine (NA)

Department of Quantitative Health Sciences, University of Massachusetts Medical School, United States.

Hoa L Nguyen (HL)

Department of Quantitative Sciences, Center for Clinical Effectiveness, Baylor Scott and White Health, United States.

David D McManus (DD)

Division of Cardiovascular Medicine, Department of Internal Medicine, University of Massachusetts Medical School, United States.

Hamza H Awad (HH)

Department of Internal Medicine, Mercer University School of Medicine, United States.

Catarina I Kiefe (CI)

Department of Quantitative Health Sciences, University of Massachusetts Medical School, United States.

Robert J Goldberg (RJ)

Department of Quantitative Health Sciences, University of Massachusetts Medical School, United States. Electronic address: Robert.Goldberg@umassmed.edu.

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Classifications MeSH