Prognostic Accuracy of Presepsis and Intrasepsis Characteristics for Prediction of Cardiovascular Events After a Sepsis Hospitalization

Allan J. Walkey; Daniel B. Knox; Laura C. Myers; Khanh K. Thai; Jason R. Jacobs; Patricia Kipnis; Manisha Desai; Alan S. Go; Yun Lu; Samuel M. Brown; Adriana Martinez; Heather Clancy; Ycar Devis; Vincent X. Liu

doi:10.1097/cce.0000000000000674

Prognostic Accuracy of Presepsis and Intrasepsis Characteristics for Prediction of Cardiovascular Events After a Sepsis Hospitalization

Allan J. Walkey¹; Daniel B. Knox^2,3; Laura C. Myers^4,5; Khanh K. Thai⁵; Jason R. Jacobs²; Patricia Kipnis⁵; Manisha Desai⁶; Alan S. Go^4,5; Yun Lu⁵; Samuel M. Brown^2,3; Adriana Martinez⁵; Heather Clancy⁵; Ycar Devis¹; Vincent X. Liu⁴

¹ The Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, MA. · ² Division of Pulmonary and Critical Care Medicine, Intermountain Medical Center, Murray, UT. · ³ Division of Pulmonary and Critical Care Medicine, University of Utah School of Medicine, Salt Lake City, UT. · ⁴ The Permanente Medical Group, Oakland, CA. · ⁵ Division of Research, Kaiser Permanente Northern California, Oakland, CA. · ⁶ Quantitative Sciences Unit, Stanford University, Palo Alto, CA.

Journal of Political Economy 2022

Across two large healthcare systems, intrasepsis factors improved postsepsis cardiovascular risk prediction as compared with presepsis cardiovascular risk profiles. Further exploration of sepsis factors that contribute to postsepsis cardiovascular events is warranted for improved mechanistic and predictive models.

DOI: 10.1097/cce.0000000000000674
Volume: 4 (4)
Pages: e0674
Language: en
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