B95. Ards: What's the Latest and Greatest? 2022
DOI: 10.1164/ajrccm-conference.2022.205.1_meetingabstracts.a3431
|View full text |Cite
|
Sign up to set email alerts
|

Latent Class Analysis-Derived Hypoinflammatory and Hyperinflammatory Phenotypes Are Generalisable to Sepsis Patients Requiring Intensive Care

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
4
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(4 citation statements)
references
References 0 publications
0
4
0
Order By: Relevance
“…This study has several strengths. First unlike some prior studies [11], phenotypes were assigned by LCA, a robust method [16] with consistent and well-replicated findings [2,5,[25][26][27]. Moreover, sensitivity analysis provided similar results, even when using another approach (propensity scoring) to estimate attributable mortality.…”
Section: Discussionmentioning
confidence: 72%
See 2 more Smart Citations
“…This study has several strengths. First unlike some prior studies [11], phenotypes were assigned by LCA, a robust method [16] with consistent and well-replicated findings [2,5,[25][26][27]. Moreover, sensitivity analysis provided similar results, even when using another approach (propensity scoring) to estimate attributable mortality.…”
Section: Discussionmentioning
confidence: 72%
“…With recent data suggesting that hypoinflammatory and hyperinflammatory phenotypes are generalizable to sepsis [5,6], we chose to study the AF ARDS and PAF ARDS within each sepsis phenotype. This approach considers ARDS as a complication of each phenotype of sepsis, rather than considering each phenotype of ARDS as a complication of overall sepsis or more broadly of critical illness.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Identification of endotypes has implications for personalized treatment, risk stratification, and our understanding of pathophysiology. This approach has been used by our group to identify two ARDS and sepsis phenotypes using clinical and biological data (3, 4).…”
mentioning
confidence: 99%