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Statin Therapy, Inflammation, and Outcomes in Patients Hospitalized for COVID-19: A Prospective Multicenter Cohort Study.
Ismail, Anis; Shadid, Husam R; Huang, Yiyuan; Hutten, Christina G; Vasbinder, Alexi; Pizzo, Ian; Catalan, Tonimarie Claire; Diaz, Kristen Machado; Kunkle, Pennelope; Banerjee, Mousumi; Rubenfire, Melvyn; Brandt, Eric J; Williams, Geoffery; Pop-Busui, Rodica; Hayek, Salim S.
Afiliação
  • Ismail A; Division of Cardiology, Department of Internal Medicine, University of Texas Medical Branch, Galveston.
  • Shadid HR; Department of Cardiology, University of Texas Health Houston, Houston.
  • Huang Y; Department of Biostatistics, University of Michigan, Ann Arbor.
  • Hutten CG; Department of Internal Medicine, University of Michigan, Ann Arbor.
  • Vasbinder A; Department of Biobehavioral Nursing and Health Informatics, School of Nursing, University of Washington, Seattle.
  • Pizzo I; Department of Internal Medicine, University of Michigan, Ann Arbor.
  • Catalan TC; Department of Internal Medicine, University of Michigan, Ann Arbor.
  • Diaz KM; Department of Internal Medicine, University of Michigan, Ann Arbor.
  • Kunkle P; Division of Cardiology, Department of Internal Medicine, University of Texas Medical Branch, Galveston.
  • Banerjee M; Department of Biostatistics, University of Michigan, Ann Arbor.
  • Rubenfire M; Division of Cardiology, Department of Medicine, University of Michigan, Ann Arbor.
  • Brandt EJ; Division of Cardiology, Department of Medicine, University of Michigan, Ann Arbor.
  • Williams G; Division of Cardiology, Department of Medicine, University of Michigan, Ann Arbor.
  • Pop-Busui R; Division of Endocrinology, Department of Medicine, University of Michigan, Ann Arbor.
  • Hayek SS; Division of Cardiology, Department of Internal Medicine, University of Texas Medical Branch, Galveston; Department of Internal Medicine, University of Michigan, Ann Arbor; On behalf of the International Study of Inflammation In COVID-19 (ISIC) Investigators. Electronic address: sahayek@utmb.edu.
Am J Med ; 2024 Aug 22.
Article em En | MEDLINE | ID: mdl-39179167
ABSTRACT

BACKGROUND:

Statins are lipid-lowering agents with anti-inflammatory effects. Data surrounding the benefits of statins in patients with coronavirus disease 2019 (COVID-19) are conflicting. We sought to better understand the impact of statins in the context of COVID-19-related inflammation.

METHODS:

We leveraged the International Study of Inflammation in COVID-19, a prospective multicenter cohort of patients hospitalized for COVID-19 between February 2020 and October 2022. Participants underwent systematic assessment of biomarkers of inflammation. We used logistic regression modeling and inverse probability-of-treatment weighting (IPTW) to examine the association between prior statin use and the composite outcome of in-hospital death, need for mechanical ventilation, and need for renal replacement therapy.

RESULTS:

A total of 4464 patients were included in the study, of whom 1364 (27.5%) were taking a statin prior to admission. There were 1061 primary outcome events, including 540 deaths, 854 mechanical ventilation and 313 renal replacement therapy. Amongst biomarkers of inflammation, statin use was associated solely with lower levels of soluble urokinase plasminogen activator receptor (suPAR) after adjusting for known confounders. In multivariable logistic regression analysis, statin use was associated with lower odds of the composite outcome (adjusted odds ratio (aOR) 0.63, 95% CI [0.53-0.76]) compared to patients not on statins. Findings were consistent with IPTW (aOR 0.92, 95% CI [0.89- 0.95]). The proportion of the effect of statin on the primary outcome mediated by suPAR was estimated at 31.5%.

CONCLUSION:

Prior-statin use is associated with improved outcomes and lower inflammation as measured by suPAR levels in patients hospitalized for COVID-19.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article