Literature DB >> 30846065

Epidemiology and Predictors of 30-Day Readmission in Patients With Sepsis.

Shruti K Gadre1, Mahek Shah2, Eduardo Mireles-Cabodevila3, Brijesh Patel2, Abhijit Duggal3.   

Abstract

BACKGROUND: Patients with sepsis are particularly vulnerable to readmissions. We describe the associated etiology and risk factors for readmission in patients with sepsis using a large administrative database inclusive of patients of all ages and insurance status.
METHODS: Our study cohort was derived from the Healthcare Cost and Utilization Project's National Readmission Data from 2013 to 2014 by identifying patients admitted with sepsis. The primary outcome was 30-day readmission with etiology identified by using International Classification of Diseases, Ninth Revision, Clinical Modification, codes.
RESULTS: From a total 1,030,335 index admissions; mean age, 66.8 ± 17.4 years (60% age ≥65 years), 898,257 patients (87.2%) survived to discharge. A total of 157,235 (17.5%) patients had a 30-day readmission; median time to readmission was 11 days (interquartile range, 5-19). Infectious etiology (42.16%; including sepsis, 22.86%) was the most commonly associated cause for 30-day readmission followed by gastrointestinal (9.6%), cardiovascular (8.73%), pulmonary (7.82%), and renal causes (4.99%). Significant predictors associated with increased 30-day readmission included diabetes (OR, 1.07; 95% CI, 1.06-1.08; P < .001), chronic kidney disease (1.12;1.10-1.14, P < .001), congestive heart failure (OR, 1.16; 95% CI, 1.14-1.18; P < .001), discharge to short-/long-term facility (OR, 1.13; 95% CI, 1.11-1.14; P < .001), Charlson comorbidity index ≥ 2, and length of stay ≥ 3 days during the index admission. The mean cost per readmission was $16,852; annual cost was > $3.5 billion within the United States.
CONCLUSION: We describe that readmission after a sepsis hospitalization is common and costly. The majority of readmissions were associated with infectious etiologies. The striking rate of readmission demands efforts to further clarify the determinants of readmission and develop strategies in terms of quality of care and care transitions to prevent this outcome.
Copyright © 2018 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  predictors; readmission; sepsis

Mesh:

Year:  2019        PMID: 30846065     DOI: 10.1016/j.chest.2018.12.008

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  16 in total

1.  The Association Between Neighborhood Socioeconomic Disadvantage and Readmissions for Patients Hospitalized With Sepsis.

Authors:  Panagis Galiatsatos; Amber Follin; Fahid Alghanim; Melissa Sherry; Carol Sylvester; Yamisi Daniel; Arjun Chanmugam; Jennifer Townsend; Suchi Saria; Amy J Kind; Edward Chen
Journal:  Crit Care Med       Date:  2020-06       Impact factor: 7.598

Review 2.  The Assessment of Social Determinants of Health in Postsepsis Mortality and Readmission: A Scoping Review.

Authors:  Ryan S Hilton; Katrina Hauschildt; Milan Shah; Marc Kowalkowski; Stephanie Taylor
Journal:  Crit Care Explor       Date:  2022-07-29

3.  Inclusion of social determinants of health improves sepsis readmission prediction models.

Authors:  Fatemeh Amrollahi; Supreeth P Shashikumar; Angela Meier; Lucila Ohno-Machado; Shamim Nemati; Gabriel Wardi
Journal:  J Am Med Inform Assoc       Date:  2022-06-14       Impact factor: 7.942

4.  Association between sepsis survivorship and long-term cardiovascular outcomes in adults: a systematic review and meta-analysis.

Authors:  Leah B Kosyakovsky; Federico Angriman; Emma Katz; Neill K Adhikari; Lucas C Godoy; John C Marshall; Bruno L Ferreyro; Douglas S Lee; Robert S Rosenson; Naveed Sattar; Subodh Verma; Augustin Toma; Marina Englesakis; Barry Burstein; Michael E Farkouh; Margaret Herridge; Dennis T Ko; Damon C Scales; Michael E Detsky; Lior Bibas; Patrick R Lawler
Journal:  Intensive Care Med       Date:  2021-08-09       Impact factor: 17.440

5.  Sepsis Survivors Transitioned to Home Health Care: Characteristics and Early Readmission Risk Factors.

Authors:  Kathryn H Bowles; Christopher M Murtaugh; Lizeyka Jordan; Yolanda Barrón; Mark E Mikkelsen; Christina R Whitehouse; Jo-Ana D Chase; Miriam Ryvicker; Penny Hollander Feldman
Journal:  J Am Med Dir Assoc       Date:  2019-12-16       Impact factor: 4.669

6.  Comorbidity and thirty-day hospital readmission odds in chronic obstructive pulmonary disease: a comparison of the Charlson and Elixhauser comorbidity indices.

Authors:  Russell G Buhr; Nicholas J Jackson; Gerald F Kominski; Steven M Dubinett; Michael K Ong; Carol M Mangione
Journal:  BMC Health Serv Res       Date:  2019-10-15       Impact factor: 2.655

7.  Long-term mortality and outcome in hospital survivors of septic shock, sepsis, and severe infections: The importance of aftercare.

Authors:  Tim Rahmel; Stefanie Schmitz; Hartmuth Nowak; Kaspar Schepanek; Lars Bergmann; Peter Halberstadt; Stefan Hörter; Jürgen Peters; Michael Adamzik
Journal:  PLoS One       Date:  2020-02-12       Impact factor: 3.240

8.  DeepAISE - An interpretable and recurrent neural survival model for early prediction of sepsis.

Authors:  Supreeth P Shashikumar; Christopher S Josef; Ashish Sharma; Shamim Nemati
Journal:  Artif Intell Med       Date:  2021-02-13       Impact factor: 5.326

9.  Clinical and nutritional predictors of hospital readmission within 30 days.

Authors:  Paula Luiza Menezes Cruz; Bruna Lúcia de Mendonça Soares; Jacqueline Elineuza da Silva; Renata Reis de Lima E Silva
Journal:  Eur J Clin Nutr       Date:  2021-05-26       Impact factor: 4.016

Review 10.  Rate and risk factors for rehospitalisation in sepsis survivors: systematic review and meta-analysis.

Authors:  Manu Shankar-Hari; Rohit Saha; Julie Wilson; Hallie C Prescott; David Harrison; Kathryn Rowan; Gordon D Rubenfeld; Neill K J Adhikari
Journal:  Intensive Care Med       Date:  2020-01-23       Impact factor: 17.440

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