Abstract

The study aimed to evaluate the prevalence, risk factors, and clinical outcomes of pulmonary embolism in patients diagnosed with sepsis with and without shock. The National Inpatient Sample was used to identify adults with sepsis with and without shock between 2017 and 2019. The prevalence of acute pulmonary embolism and the association of acute pulmonary embolism with in-hospital mortality, hospital length of stay for survivors, and overall costs of hospitalization were evaluated. Multivariable logistic and linear regression analyses, adjusted for various parameters, were used to explore these associations. Of the estimated 5,019,369 sepsis hospitalizations, 1.2% of patients with sepsis without shock and 2.3% of patients with septic shock developed pulmonary embolism. The odds ratio for in-hospital mortality was 1.94 (95% confidence interval (CI) 1.85–2.03, p < 0.001). The coefficient for hospital length of stay was 3.24 (95% CI 3.03–3.45, p < 0.001). The coefficient for total costs was 46,513 (95% CI 43,079–49,947, p < 0.001). The prevalence of pulmonary embolism in patients diagnosed with sepsis with and without shock was 1.2 and 2.3%, respectively. Acute pulmonary embolism was associated with higher in-hospital mortality, longer hospital length of stay for survivors, and higher overall costs of hospitalization.

Details

Title
The prevalence, risk factors, and outcomes of acute pulmonary embolism complicating sepsis and septic shock: a national inpatient sample analysis
Author
Hasegawa, Daisuke 1 ; Sato, Ryota 2 ; Lee, Young Im 3 ; Wang, Hong Yu 1 ; Nishida, Kazuki 4 ; Steiger, David 3 

 Mount Sinai Beth Israel, Department of Medicine, New York, USA (GRID:grid.471368.f) (ISNI:0000 0004 1937 0423) 
 The Queen’s Medical Center, Division of Critical Care Medicine, Department of Medicine, Honolulu, USA (GRID:grid.415594.8) 
 Mount Sinai West, Division of Pulmonary and Critical Care Medicine, Mount Sinai Beth Israel, New York, USA (GRID:grid.471368.f) (ISNI:0000 0004 1937 0423) 
 Nagoya University, Department of Biostatistics, Graduate School of Medicine, Nagoya, Japan (GRID:grid.27476.30) (ISNI:0000 0001 0943 978X) 
Pages
16049
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3078850453
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.