P-810. Impact of Comorbid Heart Failure among Hospitalized Patients with <i>Escherichia coli</i> Sepsis: a United States Population-Based Cohort Study

Abstract Background Sepsis-induced cardiomyopathy was deemed an independent predictor of increased risk for morbidity and mortality, especially for those individuals with pre-existing heart failure (HF). Although previous studies suggested that comorbid HF adversely impacted the outcomes of septic patients in general, there is paucity of data looking specifically at its impact among hospital patients with Escherichia coli (E. coli) sepsis. Methods We utilized the National Inpatient Sample (NIS) to identify patients with HF who were hospitalized for E. coli sepsis during the index hospitalization using appropriate ICD-10 codes between 2018-2020. We aim to investigate the impact of HF among E. coli septic patients based on in-hospital mortality, risk for acute respiratory failure and cardiogenic shock, and utilization of mechanical ventilation. A multivariable logistic regression analysis was used to calculate adjusted odds ratios (ORs) for the outcomes of interest. Results A total of 93,896 hospitalized patients with E. coli sepsis were identified, of which 23.51% (22,075/93,896) had concomitant HF during the index hospitalization. The overall in-hospital mortality rate among patients with E. coli sepsis was 8.71% (8,178/93,896). Among those with concomitant HF, the mortality rate was significantly elevated to 13.05% (2,881/22,075, p= &amp;lt; 0.001). After adjusting for possible confounders, concomitant HF in patients with E.coli sepsis was found to be an independent predictor of increased risk for in-hospital mortality (aOR 1.54; 95% CI, 1.34-1.76; p=&amp;lt; 0.001), acute respiratory failure (aOR 2.45; 95% CI, 2.23-2.69; p=&amp;lt; 0.001), cardiogenic shock (aOR 10.11; 95% CI, 7.11-14.39; p=&amp;lt; 0.001), and utilization of mechanical ventilation (aOR 2.00; 95% CI, 1.78-2.24; p=&amp;lt; 0.001) Conclusion Our analysis showed that HF among hospitalized E. coli sepsis patients was associated with an increased risk for adverse outcomes. This is likely due to the hemodynamic alterations in HF that are adversely impacted by sepsis treatment including fluid resuscitation, vasopressor use, and the advanced virulence factors of E. coli in adhesion, toxin production, and iron acquisition. Hence, identification of at-risk patients with HF is needed to mitigate its adverse impact among hospitalized patients with E. coli sepsis. Disclosures All Authors: No reported disclosures

Authors

Publication Details

Journal
Open Forum Infectious Diseases
Published
2025-01-29
DOI
https://doi.org/10.1093/ofid/ofae631.1002
Primary Topic
Liver Disease and Transplantation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

P-810. Impact of Comorbid Heart Failure among Hospitalized Patients with Escherichia coli Sepsis: a United States Population-Based Cohort Study

Arshi Syal, Carlo Casipit, Bruce Adrian Casipit, Yajur Arya et al.
Open Forum Infectious Diseases
Liver Disease and Transplantation
article

P-810. Impact of Comorbid Heart Failure among Hospitalized Patients with Escherichia coli Sepsis: a United States Population-Based Cohort Study

Arshi Syal, Carlo Casipit, Bruce Adrian Casipit, Yajur Arya, Phuuwadith Wattanachayakul, Anuradhaa Subramanian, Mikaela Nikkola Jara-Tantoco
article en

Abstract

Abstract Background Sepsis-induced cardiomyopathy was deemed an independent predictor of increased risk for morbidity and mortality, especially for those individuals with pre-existing heart failure (HF). Although previous studies suggested that comorbid HF adversely impacted the outcomes of septic patients in general, there is paucity of data looking specifically at its impact among hospital patients with Escherichia coli (E. coli) sepsis. Methods We utilized the National Inpatient Sample (NIS) to identify patients with HF who were hospitalized for E. coli sepsis during the index hospitalization using appropriate ICD-10 codes between 2018-2020. We aim to investigate the impact of HF among E. coli septic patients based on in-hospital mortality, risk for acute respiratory failure and cardiogenic shock, and utilization of mechanical ventilation. A multivariable logistic regression analysis was used to calculate adjusted odds ratios (ORs) for the outcomes of interest. Results A total of 93,896 hospitalized patients with E. coli sepsis were identified, of which 23.51% (22,075/93,896) had concomitant HF during the index hospitalization. The overall in-hospital mortality rate among patients with E. coli sepsis was 8.71% (8,178/93,896). Among those with concomitant HF, the mortality rate was significantly elevated to 13.05% (2,881/22,075, p= &amp;lt; 0.001). After adjusting for possible confounders, concomitant HF in patients with E.coli sepsis was found to be an independent predictor of increased risk for in-hospital mortality (aOR 1.54; 95% CI, 1.34-1.76; p=&amp;lt; 0.001), acute respiratory failure (aOR 2.45; 95% CI, 2.23-2.69; p=&amp;lt; 0.001), cardiogenic shock (aOR 10.11; 95% CI, 7.11-14.39; p=&amp;lt; 0.001), and utilization of mechanical ventilation (aOR 2.00; 95% CI, 1.78-2.24; p=&amp;lt; 0.001) Conclusion Our analysis showed that HF among hospitalized E. coli sepsis patients was associated with an increased risk for adverse outcomes. This is likely due to the hemodynamic alterations in HF that are adversely impacted by sepsis treatment including fluid resuscitation, vasopressor use, and the advanced virulence factors of E. coli in adhesion, toxin production, and iron acquisition. Hence, identification of at-risk patients with HF is needed to mitigate its adverse impact among hospitalized patients with E. coli sepsis. Disclosures All Authors: No reported disclosures

Open Forum Infectious DiseasesVol. 12(Supplement_1)
Openalex Percentile: Top 97%
Liver Disease and Transplantation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.