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Impact of D-dimer on in-hospital mortality following aortic dissection: A systematic review and meta-analysis.
Srikanth, Sashwath; Abrishami, Shabnam; Subramanian, Lakshmi; Mahadevaiah, Ashwini; Vyas, Ankit; Jain, Akhil; Nathaniel, Sangeetha; Gnanaguruparan, Subramanian; Desai, Rupak.
Afiliação
  • Srikanth S; Department of Medicine, ECU Health Medical Center, Greenville, NC 27834, United States.
  • Abrishami S; Department of Research, Independent Outcomes Research, Los Angeles, CA 90036, United States.
  • Subramanian L; Department of Medicine, ECU Health Medical Center, Greenville, NC 27834, United States.
  • Mahadevaiah A; Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA 02115, United States.
  • Vyas A; Department of Vascular Medicine, Ochsner Clinic Foundation, New Orleans, LA 70121, United States.
  • Jain A; Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX 77079, United States.
  • Nathaniel S; Department of Cardiology, Heart and Vascular Clinic, Newark, DE 19713, United States.
  • Gnanaguruparan S; Department of Cardiology, Heart and Vascular Clinic, Newark, DE 19713, United States. sguruparan@yahoo.com.
  • Desai R; Independent Researcher, Atlanta, GA 30079, United States.
World J Cardiol ; 16(6): 355-362, 2024 Jun 26.
Article em En | MEDLINE | ID: mdl-38993588
ABSTRACT

BACKGROUND:

The utility of D-dimer (DD) as a biomarker for acute aortic dissection (AD) is recognized. Yet, its predictive value for in-hospital mortality remains uncertain and subject to conflicting evidence.

AIM:

To conduct a meta-analysis of AD-related in-hospital mortality (ADIM) with elevated DD levels.

METHODS:

We searched PubMed, Scopus, Embase, and Google Scholar for AD and ADIM literature through May 2022. Heterogeneity was assessed using I 2 statistics and effect size (hazard or odds ratio) analysis with random-effects models. Sample size, study type, and patients' mean age were used for subgroup analysis. The significance threshold was P < 0.05.

RESULTS:

Thirteen studies (3628 patients) were included in our study. The pooled prevalence of ADIM was 20% (95%CI 15%-25%). Despite comparable demographic characteristics and comorbidities, elevated DD values were associated with higher ADIM risk (unadjusted effect size 1.94, 95%CI 1.34-2.8; adjusted effect size 1.12, 95%CI 1.05-1.19, P < 0.01). Studies involving patients with a mean age of < 60 years exhibited an increased mortality risk (effect size 1.43, 95%CI 1.23-1.67, P < 0.01), whereas no significant difference was observed in studies with a mean age > 60 years. Prospective and larger sample size studies (n > 250) demonstrated a heightened likelihood of ADIM associated with elevated DD levels (effect size 2.57, 95%CI 1.30-5.08, P < 0.01 vs effect size 1.05, 95%CI 1.00-1.11, P = 0.05, respectively).

CONCLUSION:

Our meta-analysis shows elevated DD increases in-hospital mortality risk in AD patients, highlighting the need for larger, prospective studies to improve risk prediction models.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article