Evidence map›Paper›PMID 40981485›Full record

ArticleCritical care explorations2025

Two Physiologic Latent Classes of Acute Hypoxemic Respiratory Failure in Sepsis Are Distinguished by Lung Mechanics and Gas Exchange.

Rachel M Bennett, Kaitlyn C Housel, Tiffanie K Jones, Heather M Giannini, Gulus Emre, Mika Esperanza, Alexandra Turner, Caroline Ittner, Michael G S Shashaty, Rui Feng and 5 more

Abstract read
In one paragraph

Article in Critical care explorations, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Rachel M BennettDepartment of Medicine, Division of Pulmonary, Allergy, and Critical Care, University of Pennsylvania, Philadelphia PA.
Kaitlyn C HouselDepartment of Medicine, Division of Pulmonary, Allergy, and Critical Care, University of Pennsylvania, Philadelphia PA.
Tiffanie K JonesDepartment of Medicine, Division of Pulmonary, Allergy, and Critical Care, University of Pennsylvania, Philadelphia PA.
Heather M GianniniDepartment of Medicine, Division of Pulmonary, Allergy, and Critical Care, University of Pennsylvania, Philadelphia PA.
Gulus EmreDepartment of Medicine, Division of Pulmonary, Allergy, and Critical Care, University of Pennsylvania, Philadelphia PA.
Mika EsperanzaDepartment of Medicine, Division of Pulmonary, Allergy, and Critical Care, University of Pennsylvania, Philadelphia PA.
Alexandra TurnerDepartment of Medicine, Division of Pulmonary, Allergy, and Critical Care, University of Pennsylvania, Philadelphia PA.
Caroline IttnerDepartment of Medicine, Division of Pulmonary, Allergy, and Critical Care, University of Pennsylvania, Philadelphia PA.
Michael G S ShashatyDepartment of Medicine, Division of Pulmonary, Allergy, and Critical Care, University of Pennsylvania, Philadelphia PA.
Rui FengCenter for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA.
Michaela R AndersonDepartment of Medicine, Division of Pulmonary, Allergy, and Critical Care, University of Pennsylvania, Philadelphia PA.
Gary E WeissmanDepartment of Medicine, Division of Pulmonary, Allergy, and Critical Care, University of Pennsylvania, Philadelphia PA.
Nuala J MeyerDepartment of Medicine, Division of Pulmonary, Allergy, and Critical Care, University of Pennsylvania, Philadelphia PA.
Jason D ChristieDepartment of Medicine, Division of Pulmonary, Allergy, and Critical Care, University of Pennsylvania, Philadelphia PA.
John P ReillyDepartment of Medicine, Division of Pulmonary, Allergy, and Critical Care, University of Pennsylvania, Philadelphia PA.

Funding

Cardiology & pulmonary research training grantT32HL007891 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Jason D Christie · 1998 to 2026
$12.0M
TRAINING IN PULMONARY IMMUNOLOGYT32HL007586 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI MEYER, NUALA JENNINGS · 1985 to 2025
$8.8M
Investigating Individual Susceptibility and Host Response in Acute Respiratory Distress SyndromeR35HL161196 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Nuala Jennings Meyer · 2022 to 2026
$4.8M
An ABO Blood Type Defined ARDS Endotype in SepsisR01HL155159 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI REILLY, JOHN PATRICK · 2021 to 2025
$2.7M
MESO QuikPlex SQ 120 for the multiplex quantification of proteins in human biospecimensS10OD025172 · OD · UNIVERSITY OF PENNSYLVANIA · PI MEYER, NUALA JENNINGS · 2018 to 2018
$50k
NHLBI NIH HHS R01 HL155159NHLBI NIH HHS R35 HL161196NHLBI NIH HHS T32 HL007586NHLBI NIH HHS T32 HL007891NIH HHS S10 OD025172
6 · The paper itself

Abstract

objectivesPhysiologic subtypes of acute hypoxemic respiratory failure (AHRF) may confer a differential response to treatments, particularly therapeutic strategies that are specific to pulmonary organ failure. We sought to identify physiologic latent classes of sepsis-associated AHRF defined by respiratory mechanics, oxygenation, ventilation, and radiographic patterns of lung injury, and to determine the association between class membership and 30-day mortality.

designWe performed latent class analysis of patients with AHRF newly requiring mechanical ventilation enrolled in a prospective cohort of patients with sepsis from 2011 to 2020. We used logistic regression adjusted for Acute Physiology and Chronic Health Evaluation to determine the association between class membership and 30-day mortality and examined the distribution of patients classified as "hyperinflammatory" by previously described biomarker-based subphenotyping paradigms.

settingPhiladelphia, Pennsylvania, United States. PATIENTS: Eight hundred eighty-two patients. MEASUREMENTS AND MAIN

resultsWe identified two physiologic latent classes. Class 1 (n = 390) was characterized by low static compliance and impaired ventilation when compared with class 2 (n = 432). Mortality at 30 days was higher in the more physiologically severe class 1 when compared with class 2 (adjusted risk difference 0.12, p < 0.001) despite a similar severity of sepsis. Class 1 also contained a higher proportion of female patients and patients with obesity.

conclusionsWe identified two physiologic latent classes of sepsis-associated AHRF. Relative to class 2, class 1 was distinguished by low compliance, impaired ventilation, and higher 30-day mortality independent of the severity of sepsis. The higher percentage of female patients and patients with obesity in class 1 suggests a potential role for body composition in class determination. Physiologic classes were not primarily determined by qualification for acute respiratory distress syndrome or previously described biomarker-based subphenotypes, suggesting a distinct physiologic "axis" of heterogeneity.

Indexed as

HypoxiaPulmonary Gas ExchangeRespiratory InsufficiencyRespiratory MechanicsSepsisAgedFemaleHumansLatent Class AnalysisMaleMiddle AgedPhiladelphiaProspective StudiesRespiration, Artificiallatent class analysismechanicalrespiratory insufficiencyrespiratory physiologic phenomenasepsisventilators

Identifiers

PMID40981485
PMCPMC12456573

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.