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ORIGINAL RESEARCH article

Front. Cardiovasc. Med.
Sec. Sex and Gender in Cardiovascular Medicine
Volume 11 - 2024 | doi: 10.3389/fcvm.2024.1517288
This article is part of the Research Topic Sex-Specific Risk Factors and Cardiovascular Disease Risk in Women View all 6 articles

Men`s more frequent predisposing factors in infectious endocarditis facilitate improvement of outcomes by shortening of diagnostic delay

Provisionally accepted
Stefanie Andreß Stefanie Andreß 1*Kathrin Reischmann Kathrin Reischmann 2*Sinisa Markovic Sinisa Markovic 1*Friederike Rohlmann Friederike Rohlmann 3*Birgit Hay Birgit Hay 3*Wolfgang Rottbauer Wolfgang Rottbauer 1Dominik Buckert Dominik Buckert 1Sascha D'Almeida Sascha D'Almeida 1*
  • 1 Department of Internal Medicine II, Ulm University, Ulm, Germany
  • 2 Ulm University Medical Center, Ulm, Germany
  • 3 Institute of Epidemiology and Medical Biometry, Faculty of Medicine, University of Ulm, Ulm, Germany

The final, formatted version of the article will be published soon.

    Introduction: Despite growing evidence for sex-specific differences in cardiovascular disease, sex is poorly considered in the management of infectious endocarditis (IE). Purpose: This study aimed to assess sex-specific aspects in diagnosing IE. Methods: All consecutive patients admitted at Ulm University Heart Center with suspected IE between 2009 and 2019 were included. IE was diagnosed using the Duke criteria. Risk factors, clinical presentation and in-hospital outcomes along with the impact of diagnostic delay were compared between male and female patients. Results: IE was diagnosed in 96 of 118 men (81.4%) and 33 of 45 women (73.3%) (p = 0.121). Time to diagnosis was similar between the groups (p = 0.598). Regarding patient characteristics, men were younger (65.5 vs. 74.3 years, p = 0.006). Men exhibited a higher prevalence of predisposing cardiac conditions (p = 0.012) due to a higher frequency of a history of implantable cardioverter defibrillator implantation (p = 0.004), and were more likely to have poor dental status (p = 0.001), and coronary artery disease (p = 0.002). The incidence of the complications of heart failure with reduced ejection fraction (p = 0.007) and new-onset dialysis (p = 0.012) were higher, the time in the intensive care unit (p = 0.012) longer. Male sex was the only independent risk factor for in-hospital mortality (p=0.036, HR 4.127 (95%-CI 1.096-15.538)). Notably, only in the male cohort, a shorter time to diagnosis was associated with a lower mortality rate (p = 0.035, optimal cut-point 3.5 days). Men diagnosed within 3.5 days had a mortality rate of 13.5% compared to 31.8% for those diagnosed later (p = 0.028). Conclusion: Men with suspected IE are younger, have more predisposing factors and experience a more complicated course of disease, while benefiting from early diagnosis. Therefore, recognizing the heightened risk profile specific to men during diagnosis can help to address their poorer prognosis.

    Keywords: Sex, Infectious endocarditis, diagnostics, Duke criteria, Risk factors, outcomes, diagnostic delay

    Received: 25 Oct 2024; Accepted: 27 Dec 2024.

    Copyright: © 2024 Andreß, Reischmann, Markovic, Rohlmann, Hay, Rottbauer, Buckert and D'Almeida. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Stefanie Andreß, Department of Internal Medicine II, Ulm University, Ulm, 89070, Germany
    Kathrin Reischmann, Ulm University Medical Center, Ulm, 89070, Germany
    Sinisa Markovic, Department of Internal Medicine II, Ulm University, Ulm, 89070, Germany
    Friederike Rohlmann, Institute of Epidemiology and Medical Biometry, Faculty of Medicine, University of Ulm, Ulm, 89081, Germany
    Birgit Hay, Institute of Epidemiology and Medical Biometry, Faculty of Medicine, University of Ulm, Ulm, 89081, Germany
    Sascha D'Almeida, Department of Internal Medicine II, Ulm University, Ulm, 89070, Germany

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