Admission white blood cell count predicts post-discharge mortality in patients with acute aortic dissection: data

Chiyuan Zhang1, Zuli Fu2, Hui Bai3

  • 1Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.

BMC Cardiovascular Disorders
|September 26, 2021
PubMed
Abstract

Insights

Elevated white blood cell count (WBCc) in intensive care unit (ICU) admissions may predict higher mortality rates for patients with acute aortic dissection (AAD). This finding suggests WBCc could be a valuable prognostic marker for AAD outcomes.

Area of Science:

  • Cardiology
  • Critical Care Medicine
  • Inflammation Research

Background:

  • Inflammation plays a key role in the development and prognosis of acute aortic dissection (AAD).
  • Predicting outcomes in AAD patients is crucial for effective clinical management.

Purpose of the Study:

  • To investigate the association between white blood cell count (WBCc) on ICU admission and post-discharge mortality in AAD patients.
  • To evaluate WBCc as a potential prognostic biomarker for AAD.

Main Methods:

  • Retrospective analysis of clinical data from the MIMIC-III V1.4 database.
  • Cox regression and Kaplan-Meier survival analyses were used to assess the relationship between WBCc and mortality.
  • Subgroup and ROC curve analyses were performed to validate predictive performance.

Main Results:

  • Higher WBCc (> 11 K/uL) was significantly associated with increased 30-day, 90-day, and 1-year post-discharge mortality in AAD patients, even after adjusting for covariates.
  • The area under the ROC curve for WBCc ranged from 0.61 to 0.70 for different mortality time points.
  • Elevated WBCc posed an excess risk for 30-day mortality in younger patients (<69 years) or those with a history of respiratory disease.

Conclusions:

  • Elevated white blood cell count on admission is a potential predictor of post-discharge mortality in patients with acute aortic dissection.
  • WBCc may serve as a readily available and valuable prognostic tool for stratifying AAD patient risk.

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