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Identifying organ dysfunction trajectory-based subphenotypes in critically ill patients with COVID-19
Chang Su; Zhenxing Xu; Katherine Hoffman; Parag Goyal; Monika M Safford; Jerry Lee; Sergio Alvarez-Mulett; Luis Gomez-Escobar; David R Price; John S Harrington; Lisa K Torres; Fernando J Martinez; Thomas R Campion Jr.; Rainu Kaushal; Augustine M.K. Choi; Fei Wang; Edward J Schenck.
Afiliación
  • Chang Su; Weill Cornell Medical College
  • Zhenxing Xu; Weill Cornell Medical College
  • Katherine Hoffman; Weill Cornell Medical College
  • Parag Goyal; Weill Cornell Medical College
  • Monika M Safford; Weill Cornell Medical College
  • Jerry Lee; Weill Cornell Medical College
  • Sergio Alvarez-Mulett; Weill Cornell Medical College
  • Luis Gomez-Escobar; Weill Cornell Medical College
  • David R Price; Weill Cornell Medical College
  • John S Harrington; Weill Cornell Medical College
  • Lisa K Torres; Weill Cornell Medical College
  • Fernando J Martinez; Weill Cornell Medical College
  • Thomas R Campion Jr.; Weill Cornell Medical College
  • Rainu Kaushal; Weill Cornell Medical College
  • Augustine M.K. Choi; Weill Cornell Medical College
  • Fei Wang; Weill Cornell Medical College
  • Edward J Schenck; Weill Cornell Medical College
Preprint en En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20155382
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ABSTRACT
RationaleCOVID-19-associated respiratory failure offers the unprecedented opportunity to evaluate the differential host response to a uniform pathogenic insult. Prior studies of Acute Respiratory Distress Syndrome (ARDS) have identified subphenotypes with differential outcomes. Understanding whether there are distinct subphenotypes of severe COVID-19 may offer insight into its pathophysiology. ObjectivesTo identify and characterize distinct subphenotypes of COVID-19 critical illness defined by the post-intubation trajectory of Sequential Organ Failure Assessment (SOFA) score. MethodsIntubated COVID-19 patients at two hospitals in New York city were leveraged as development and validation cohorts. Patients were grouped into mild, intermediate, and severe strata by their baseline post-intubation SOFA. Hierarchical agglomerative clustering was performed within each stratum to detect subphenotypes based on similarities amongst SOFA score trajectories evaluated by Dynamic Time Warping. Statistical tests defined trajectory subphenotype predictive markers. Measurements and Main ResultsDistinct worsening and recovering subphenotypes were identified within each stratum, which had distinct 7-day post-intubation SOFA progression trends. Patients in the worsening suphenotypes had a higher mortality than those in the recovering subphenotypes within each stratum (mild stratum, 29.7% vs. 10.3%, p=0.033; intermediate stratum, 29.3% vs. 8.0%, p=0.002; severe stratum, 53.7% vs. 22.2%, p<0.001). Worsening and recovering subphenotypes were replicated in the validation cohort. Routine laboratory tests, vital signs, and respiratory variables rather than demographics and comorbidities were predictive of the worsening and recovering subphenotypes. ConclusionsThere are clear worsening and recovering subphenotypes of COVID-19 respiratory failure after intubation, which are more predictive of outcomes than baseline severity of illness. Organ dysfunction trajectory may be well suited as a surrogate for research in COVID-19 respiratory failure. At a Glance CommentaryO_ST_ABSScientific Knowledge on the SubjectC_ST_ABSCOVID-19 associated respiratory failure leads to a significant risk of morbidity and mortality. It is clear that there is heterogeneity in the viral-induced host response leading to differential outcomes, even amongst those treated with mechanical ventilation. There are many studies of COVID-19 disease which use intubation status as an outcome or an inclusion criterion. However, there is less understanding of the post intubation course in COVID-19. What This Study Adds to the FieldWe have developed and validated a novel subphenotyping model based on post-intubation organ dysfunction trajectory in COVID-19 patients. Specifically, we identified clear worsening and recovering organ dysfunction trajectory subphenotypes, which are more predictive of outcomes than illness severity at baseline. Dynamic inflammatory markers and ventilator variables rather than baseline severity of illness, demographics and comorbidities differentiate the worsening and recovering subphenotypes. Trajectory subphenotypes offer a potential road map for understanding the evolution of critical illness in COVID-19.
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Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Cohort_studies / Experimental_studies / Observational_studies / Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Preprint
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Cohort_studies / Experimental_studies / Observational_studies / Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Preprint