Literature DB >> 35180373

Clinical Subtypes of Sepsis Survivors Predict Readmission and Mortality after Hospital Discharge.

Stephanie Parks Taylor1,2, Bethany C Bray3, Shih-Hsiung Chou4, Ryan Burns4, Marc A Kowalkowski4.   

Abstract

Rationale: Sepsis survivors experience adverse outcomes including high rates of postdischarge mortality and rehospitalization. Given the heterogeneity of the condition, using a person-centered framework to identify subtypes within this population with different risks of postdischarge outcomes may optimize postsepsis care.
Objectives: To classify individuals into subtypes and assess the association of subtypes with 30-day rehospitalization and mortality.
Methods: We conducted a retrospective observational study between January 2014 and October 2017 among 20,745 patients admitted to one of 12 southeastern U.S. hospitals with a clinical definition of sepsis. We used latent class analysis to classify sepsis survivors into subtypes, which were evaluated against 30-day readmission and mortality rates using a specialized regression approach. A secondary analysis evaluated subtypes against readmission rate for ambulatory care-sensitive conditions.
Results: Among 20,745 patients, latent class analysis identified five distinct subtypes as the optimal solution. Clinical subtype was associated with 30-day readmission, with the subtype existing poor health with severe illness and complex needs after discharge demonstrating highest risk (35%) and the subtype low risk, barriers to care demonstrating the lowest risk (9%). Forty-seven percent of readmissions in the subtype poor functional status were for ambulatory care-sensitive conditions, whereas 17% of readmissions in the subtype previously healthy with severe illness and complex needs after discharge, barriers to care were for ambulatory care-sensitive conditions. Subtype was significantly associated with 30-day mortality: highest in for existing poor health with severe illness and complex needs after discharge (8%) and lowest for low risk, barriers to care (0.1%). Conclusions: Sepsis survivors can be classified into subtypes representing nuanced constellations of characteristics, with differential 30-day mortality and readmission risk profiles. Predischarge classification may allow an individualized approach to postsepsis care.

Entities:  

Keywords:  hospital readmission; mortality; phenotype; sepsis; survivor

Mesh:

Year:  2022        PMID: 35180373      PMCID: PMC9353958          DOI: 10.1513/AnnalsATS.202109-1088OC

Source DB:  PubMed          Journal:  Ann Am Thorac Soc        ISSN: 2325-6621


  25 in total

Review 1.  Toward Smarter Lumping and Smarter Splitting: Rethinking Strategies for Sepsis and Acute Respiratory Distress Syndrome Clinical Trial Design.

Authors:  Hallie C Prescott; Carolyn S Calfee; B Taylor Thompson; Derek C Angus; Vincent X Liu
Journal:  Am J Respir Crit Care Med       Date:  2016-07-15       Impact factor: 21.405

2.  Latent Class Analysis for Developmental Research.

Authors:  Stephanie T Lanza
Journal:  Child Dev Perspect       Date:  2016-01-27

Review 3.  Enhancing Recovery From Sepsis: A Review.

Authors:  Hallie C Prescott; Derek C Angus
Journal:  JAMA       Date:  2018-01-02       Impact factor: 56.272

4.  Understanding and Enhancing Sepsis Survivorship. Priorities for Research and Practice.

Authors:  Hallie C Prescott; Theodore J Iwashyna; Bronagh Blackwood; Thierry Calandra; Linda L Chlan; Karen Choong; Bronwen Connolly; Paul Dark; Luigi Ferrucci; Simon Finfer; Timothy D Girard; Carol Hodgson; Ramona O Hopkins; Catherine L Hough; James C Jackson; Flavia R Machado; John C Marshall; Cheryl Misak; Dale M Needham; Pinaki Panigrahi; Konrad Reinhart; Sachin Yende; Ross Zafonte; Kathryn M Rowan; Derek C Angus
Journal:  Am J Respir Crit Care Med       Date:  2019-10-15       Impact factor: 21.405

5.  Eliminating Bias in Classify-Analyze Approaches for Latent Class Analysis.

Authors:  Bethany C Bray; Stephanie T Lanza; Xianming Tan
Journal:  Struct Equ Modeling       Date:  2015-01       Impact factor: 6.125

6.  Effect of a Multicomponent Sepsis Transition and Recovery Program on Mortality and Readmissions After Sepsis: The Improving Morbidity During Post-Acute Care Transitions for Sepsis Randomized Clinical Trial.

Authors:  Stephanie Parks Taylor; Stephanie Murphy; Aleta Rios; Andrew McWilliams; Lewis McCurdy; Shih-Hsiung Chou; Timothy Hetherington; Whitney Rossman; Mark Russo; Michael Gibbs; Marc A Kowalkowski
Journal:  Crit Care Med       Date:  2022-03-01       Impact factor: 7.598

7.  Effect of a Primary Care Management Intervention on Mental Health-Related Quality of Life Among Survivors of Sepsis: A Randomized Clinical Trial.

Authors:  Konrad Schmidt; Susanne Worrack; Michael Von Korff; Dimitry Davydow; Frank Brunkhorst; Ulrike Ehlert; Christine Pausch; Juliane Mehlhorn; Nico Schneider; André Scherag; Antje Freytag; Konrad Reinhart; Michel Wensing; Jochen Gensichen
Journal:  JAMA       Date:  2016-06-28       Impact factor: 56.272

8.  The Search for Efficacious New Therapies in Sepsis Needs to Embrace Heterogeneity.

Authors:  Brendon P Scicluna; J Kenneth Baillie
Journal:  Am J Respir Crit Care Med       Date:  2019-04-15       Impact factor: 21.405

Review 9.  Prognostic and predictive enrichment in sepsis.

Authors:  Natalja L Stanski; Hector R Wong
Journal:  Nat Rev Nephrol       Date:  2019-09-11       Impact factor: 28.314

10.  Increased 1-year healthcare use in survivors of severe sepsis.

Authors:  Hallie C Prescott; Kenneth M Langa; Vincent Liu; Gabriel J Escobar; Theodore J Iwashyna
Journal:  Am J Respir Crit Care Med       Date:  2014-07-01       Impact factor: 30.528

View more
  1 in total

1.  Toward Tailored Care for Sepsis Survivors.

Authors:  Erin F Carlton
Journal:  Ann Am Thorac Soc       Date:  2022-08
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.