Literature DB >> 31135503

Epidemiology of Hospital-Onset Versus Community-Onset Sepsis in U.S. Hospitals and Association With Mortality: A Retrospective Analysis Using Electronic Clinical Data.

Chanu Rhee1,2, Rui Wang1, Zilu Zhang1, David Fram3, Sameer S Kadri4, Michael Klompas1,2.   

Abstract

OBJECTIVES: Prior studies have reported that hospital-onset sepsis is associated with higher mortality rates than community-onset sepsis. Most studies, however, have used inconsistent case-finding methods and applied limited risk-adjustment for potential confounders. We used consistent sepsis criteria and detailed electronic clinical data to elucidate the epidemiology and mortality associated with hospital-onset sepsis.
DESIGN: Retrospective cohort study.
SETTING: 136 U.S. hospitals in the Cerner HealthFacts dataset. PATIENTS: Adults hospitalized in 2009-2015.
INTERVENTIONS: None.
MEASUREMENTS AND MAIN RESULTS: We identified sepsis using Centers for Disease Control and Prevention Adult Sepsis Event criteria and estimated the risk of in-hospital death for hospital-onset sepsis versus community-onset sepsis using logistic regression models. In patients admitted without community-onset sepsis, we estimated risk of death associated with hospital-onset sepsis using Cox regression models with sepsis as a time-varying covariate. Models were adjusted for baseline characteristics and severity of illness. Among 2.2 million hospitalizations, there were 95,154 sepsis cases: 83,620 (87.9%) community-onset sepsis and 11,534 (12.1%) hospital-onset sepsis (0.5% of hospitalized cohort). Compared to community-onset sepsis, hospital-onset sepsis patients were younger (median 66 vs 68 yr) but had more comorbidities (median Elixhauser score 14 vs 11), higher Sequential Organ Failure Assessment scores (median 4 vs 3), higher ICU admission rates (61% vs 44%), longer hospital length of stay (median 19 vs 8 d), and higher in-hospital mortality (33% vs 17%) (p < 0.001 for all comparisons). On multivariate analysis, hospital-onset sepsis was associated with higher mortality versus community-onset sepsis (odds ratio, 2.1; 95% CI, 2.0-2.2) and patients admitted without sepsis (hazard ratio, 3.0; 95% CI, 2.9-3.2).
CONCLUSIONS: Hospital-onset sepsis complicated one in 200 hospitalizations and accounted for one in eight sepsis cases, with one in three patients dying in-hospital. Hospital-onset sepsis preferentially afflicted ill patients but even after risk-adjustment, they were twice as likely to die as community-onset sepsis patients; in patients admitted without sepsis, hospital-onset sepsis tripled the risk of death. Hospital-onset sepsis is an important target for surveillance, prevention, and quality improvement initiatives.

Entities:  

Mesh:

Year:  2019        PMID: 31135503      PMCID: PMC6697188          DOI: 10.1097/CCM.0000000000003817

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  36 in total

1.  Early goal-directed therapy in the treatment of severe sepsis and septic shock.

Authors:  E Rivers; B Nguyen; S Havstad; J Ressler; A Muzzin; B Knoblich; E Peterson; M Tomlanovich
Journal:  N Engl J Med       Date:  2001-11-08       Impact factor: 91.245

2.  Hospital-acquired catheter-associated urinary tract infection: documentation and coding issues may reduce financial impact of Medicare's new payment policy.

Authors:  Jennifer Meddings; Sanjay Saint; Laurence F McMahon
Journal:  Infect Control Hosp Epidemiol       Date:  2010-06       Impact factor: 3.254

3.  Characteristics and determinants of outcome of hospital-acquired bloodstream infections in intensive care units: the EUROBACT International Cohort Study.

Authors:  Alexis Tabah; Despoina Koulenti; Kevin Laupland; Benoit Misset; Jordi Valles; Frederico Bruzzi de Carvalho; José Artur Paiva; Nahit Cakar; Xiaochun Ma; Philippe Eggimann; Massimo Antonelli; Marc J M Bonten; Akos Csomos; Wolfgang A Krueger; Adam Mikstacki; Jeffrey Lipman; Pieter Depuydt; Aurélien Vesin; Maité Garrouste-Orgeas; Jean-Ralph Zahar; Stijn Blot; Jean Carlet; Christian Brun-Buisson; Claude Martin; Jordi Rello; Georges Dimopoulos; Jean-François Timsit
Journal:  Intensive Care Med       Date:  2012-09-26       Impact factor: 17.440

4.  Serum potassium levels and mortality in acute myocardial infarction.

Authors:  Abhinav Goyal; John A Spertus; Kensey Gosch; Lakshmi Venkitachalam; Philip G Jones; Greet Van den Berghe; Mikhail Kosiborod
Journal:  JAMA       Date:  2012-01-11       Impact factor: 56.272

5.  Mortality attributable to nosocomial infection: a cohort of patients with and without nosocomial infection in a French university hospital.

Authors:  Pascale Fabbro-Peray; A Sotto; C Defez; M Cazaban; L Molinari; M Pinède; A Mahamat; J P Daures
Journal:  Infect Control Hosp Epidemiol       Date:  2007-02-20       Impact factor: 3.254

6.  The accuracy of present-on-admission reporting in administrative data.

Authors:  L Elizabeth Goldman; Philip W Chu; Dennis Osmond; Andrew Bindman
Journal:  Health Serv Res       Date:  2011-08-11       Impact factor: 3.402

7.  Identifying patients with severe sepsis using administrative claims: patient-level validation of the angus implementation of the international consensus conference definition of severe sepsis.

Authors:  Theodore J Iwashyna; Andrew Odden; Jeffrey Rohde; Catherine Bonham; Latoya Kuhn; Preeti Malani; Lena Chen; Scott Flanders
Journal:  Med Care       Date:  2014-06       Impact factor: 2.983

8.  Effect of nonpayment for hospital-acquired, catheter-associated urinary tract infection: a statewide analysis.

Authors:  Jennifer A Meddings; Heidi Reichert; Mary A M Rogers; Sanjay Saint; Joe Stephansky; Laurence F McMahon
Journal:  Ann Intern Med       Date:  2012-09-04       Impact factor: 25.391

9.  Hospitalized cancer patients with severe sepsis: analysis of incidence, mortality, and associated costs of care.

Authors:  Mark D Williams; Lee Ann Braun; Liesl M Cooper; Joseph Johnston; Richard V Weiss; Rebecca L Qualy; Walter Linde-Zwirble
Journal:  Crit Care       Date:  2004-07-05       Impact factor: 9.097

10.  A public-private partnership develops and externally validates a 30-day hospital readmission risk prediction model.

Authors:  Shahid A Choudhry; Jing Li; Darcy Davis; Cole Erdmann; Rishi Sikka; Bharat Sutariya
Journal:  Online J Public Health Inform       Date:  2013-07-01
View more
  24 in total

1.  What's Taking So Long? Known Unknowns, Capacity Strain, and Hospital-acquired Sepsis.

Authors:  Amelia Bowman; Ithan D Peltan
Journal:  Ann Am Thorac Soc       Date:  2022-09

2.  Association of Unit Census with Delays in Antimicrobial Initiation among Ward Patients with Hospital-acquired Sepsis.

Authors:  Jennifer C Ginestra; Rachel Kohn; Rebecca A Hubbard; Andrew Crane-Droesch; Scott D Halpern; Meeta Prasad Kerlin; Gary E Weissman
Journal:  Ann Am Thorac Soc       Date:  2022-09

3.  Treatment Patterns and Clinical Outcomes After the Introduction of the Medicare Sepsis Performance Measure (SEP-1).

Authors:  Ian J Barbash; Billie S Davis; Jonathan G Yabes; Chris W Seymour; Derek C Angus; Jeremy M Kahn
Journal:  Ann Intern Med       Date:  2021-04-20       Impact factor: 25.391

4.  Improvements in Sepsis-associated Mortality in Hospitalized Patients with Cancer versus Those without Cancer. A 12-Year Analysis Using Clinical Data.

Authors:  Alissa J Cooper; Steven P Keller; Christina Chan; Brett E Glotzbecker; Michael Klompas; Rebecca M Baron; Chanu Rhee
Journal:  Ann Am Thorac Soc       Date:  2020-04

5.  Can artificial intelligence and machine learning help us treat sepsis?

Authors:  Alvin D Jeffery
Journal:  Intensive Crit Care Nurs       Date:  2021-05-04       Impact factor: 4.235

6.  Prevalence and Outcomes of Previously Healthy Adults Among Patients Hospitalized With Community-Onset Sepsis.

Authors:  Mohammad Alrawashdeh; Michael Klompas; Steven Q Simpson; Sameer S Kadri; Russell Poland; Jeffrey S Guy; Jonathan B Perlin; Chanu Rhee
Journal:  Chest       Date:  2022-01-20       Impact factor: 10.262

7.  Validation of automated sepsis surveillance based on the Sepsis-3 clinical criteria against physician record review in a general hospital population: observational study using electronic health records data.

Authors:  John Karlsson Valik; Logan Ward; Hideyuki Tanushi; Kajsa Müllersdorf; Anders Ternhag; Ewa Aufwerber; Anna Färnert; Anders F Johansson; Mads Lause Mogensen; Brian Pickering; Hercules Dalianis; Aron Henriksson; Vitaly Herasevich; Pontus Nauclér
Journal:  BMJ Qual Saf       Date:  2020-02-06       Impact factor: 7.035

8.  Predicting Sepsis Mortality and Costs Using Medicare Claims: A Method to the Madness.

Authors:  Lindsay M Busch; Andre C Kalil; Sameer S Kadri
Journal:  Crit Care Med       Date:  2020-03       Impact factor: 7.598

9.  Epidemiology, Outcomes, and Trends of Patients With Sepsis and Opioid-Related Hospitalizations in U.S. Hospitals.

Authors:  Mohammad Alrawashdeh; Michael Klompas; Simeon Kimmel; Marc R Larochelle; Runa H Gokhale; Raymund B Dantes; Brooke Hoots; Kelly M Hatfield; Sujan C Reddy; Anthony E Fiore; Edward J Septimus; Sameer S Kadri; Russell Poland; Kenneth Sands; Chanu Rhee
Journal:  Crit Care Med       Date:  2021-12-01       Impact factor: 9.296

Review 10.  Surveillance Strategies for Tracking Sepsis Incidence and Outcomes.

Authors:  Claire N Shappell; Michael Klompas; Chanu Rhee
Journal:  J Infect Dis       Date:  2020-07-21       Impact factor: 7.759

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.