Literature DB >> 28903154

Incidence and Trends of Sepsis in US Hospitals Using Clinical vs Claims Data, 2009-2014.

Chanu Rhee1,2, Raymund Dantes3,4, Lauren Epstein3, David J Murphy5, Christopher W Seymour6, Theodore J Iwashyna7,8, Sameer S Kadri9, Derek C Angus6,10, Robert L Danner9, Anthony E Fiore3, John A Jernigan3, Greg S Martin5, Edward Septimus11,12, David K Warren13, Anita Karcz14, Christina Chan1, John T Menchaca1, Rui Wang1, Susan Gruber1, Michael Klompas1,2.   

Abstract

Importance: Estimates from claims-based analyses suggest that the incidence of sepsis is increasing and mortality rates from sepsis are decreasing. However, estimates from claims data may lack clinical fidelity and can be affected by changing diagnosis and coding practices over time. Objective: To estimate the US national incidence of sepsis and trends using detailed clinical data from the electronic health record (EHR) systems of diverse hospitals. Design, Setting, and Population: Retrospective cohort study of adult patients admitted to 409 academic, community, and federal hospitals from 2009-2014. Exposures: Sepsis was identified using clinical indicators of presumed infection and concurrent acute organ dysfunction, adapting Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3) criteria for objective and consistent EHR-based surveillance. Main Outcomes and Measures: Sepsis incidence, outcomes, and trends from 2009-2014 were calculated using regression models and compared with claims-based estimates using International Classification of Diseases, Ninth Revision, Clinical Modification codes for severe sepsis or septic shock. Case-finding criteria were validated against Sepsis-3 criteria using medical record reviews.
Results: A total of 173 690 sepsis cases (mean age, 66.5 [SD, 15.5] y; 77 660 [42.4%] women) were identified using clinical criteria among 2 901 019 adults admitted to study hospitals in 2014 (6.0% incidence). Of these, 26 061 (15.0%) died in the hospital and 10 731 (6.2%) were discharged to hospice. From 2009-2014, sepsis incidence using clinical criteria was stable (+0.6% relative change/y [95% CI, -2.3% to 3.5%], P = .67) whereas incidence per claims increased (+10.3%/y [95% CI, 7.2% to 13.3%], P < .001). In-hospital mortality using clinical criteria declined (-3.3%/y [95% CI, -5.6% to -1.0%], P = .004), but there was no significant change in the combined outcome of death or discharge to hospice (-1.3%/y [95% CI, -3.2% to 0.6%], P = .19). In contrast, mortality using claims declined significantly (-7.0%/y [95% CI, -8.8% to -5.2%], P < .001), as did death or discharge to hospice (-4.5%/y [95% CI, -6.1% to -2.8%], P < .001). Clinical criteria were more sensitive in identifying sepsis than claims (69.7% [95% CI, 52.9% to 92.0%] vs 32.3% [95% CI, 24.4% to 43.0%], P < .001), with comparable positive predictive value (70.4% [95% CI, 64.0% to 76.8%] vs 75.2% [95% CI, 69.8% to 80.6%], P = .23). Conclusions and Relevance: In clinical data from 409 hospitals, sepsis was present in 6% of adult hospitalizations, and in contrast to claims-based analyses, neither the incidence of sepsis nor the combined outcome of death or discharge to hospice changed significantly between 2009-2014. The findings also suggest that EHR-based clinical data provide more objective estimates than claims-based data for sepsis surveillance.

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Year:  2017        PMID: 28903154      PMCID: PMC5710396          DOI: 10.1001/jama.2017.13836

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  37 in total

Review 1.  A Framework for the Development and Interpretation of Different Sepsis Definitions and Clinical Criteria.

Authors:  Derek C Angus; Christopher W Seymour; Craig M Coopersmith; Clifford S Deutschman; Michael Klompas; Mitchell M Levy; Gregory S Martin; Tiffany M Osborn; Chanu Rhee; R Scott Watson
Journal:  Crit Care Med       Date:  2016-03       Impact factor: 7.598

2.  Nationwide trends of severe sepsis in the 21st century (2000-2007).

Authors:  Gagan Kumar; Nilay Kumar; Amit Taneja; Thomas Kaleekal; Sergey Tarima; Emily McGinley; Edgar Jimenez; Anand Mohan; Rumi Ahmed Khan; Jeff Whittle; Elizabeth Jacobs; Rahul Nanchal
Journal:  Chest       Date:  2011-08-18       Impact factor: 9.410

3.  Trend in Ventilator-Associated Pneumonia Rates Between 2005 and 2013.

Authors:  Mark L Metersky; Yun Wang; Michael Klompas; Sheila Eckenrode; Anila Bakullari; Noel Eldridge
Journal:  JAMA       Date:  2016-12-13       Impact factor: 56.272

4.  Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016.

Authors:  Andrew Rhodes; Laura E Evans; Waleed Alhazzani; Mitchell M Levy; Massimo Antonelli; Ricard Ferrer; Anand Kumar; Jonathan E Sevransky; Charles L Sprung; Mark E Nunnally; Bram Rochwerg; Gordon D Rubenfeld; Derek C Angus; Djillali Annane; Richard J Beale; Geoffrey J Bellinghan; Gordon R Bernard; Jean-Daniel Chiche; Craig Coopersmith; Daniel P De Backer; Craig J French; Seitaro Fujishima; Herwig Gerlach; Jorge Luis Hidalgo; Steven M Hollenberg; Alan E Jones; Dilip R Karnad; Ruth M Kleinpell; Younsuck Koh; Thiago Costa Lisboa; Flavia R Machado; John J Marini; John C Marshall; John E Mazuski; Lauralyn A McIntyre; Anthony S McLean; Sangeeta Mehta; Rui P Moreno; John Myburgh; Paolo Navalesi; Osamu Nishida; Tiffany M Osborn; Anders Perner; Colleen M Plunkett; Marco Ranieri; Christa A Schorr; Maureen A Seckel; Christopher W Seymour; Lisa Shieh; Khalid A Shukri; Steven Q Simpson; Mervyn Singer; B Taylor Thompson; Sean R Townsend; Thomas Van der Poll; Jean-Louis Vincent; W Joost Wiersinga; Janice L Zimmerman; R Phillip Dellinger
Journal:  Crit Care Med       Date:  2017-03       Impact factor: 7.598

5.  Impact of Medicare's payment policy on mediastinitis following coronary artery bypass graft surgery in US hospitals.

Authors:  Michael S Calderwood; Ken Kleinman; Stephen B Soumerai; Robert Jin; Charlene Gay; Richard Platt; William Kassler; Donald A Goldmann; Ashish K Jha; Grace M Lee
Journal:  Infect Control Hosp Epidemiol       Date:  2013-12-24       Impact factor: 3.254

6.  Lactate Testing in Suspected Sepsis: Trends and Predictors of Failure to Measure Levels.

Authors:  Chanu Rhee; Michael V Murphy; Lingling Li; Richard Platt; Michael Klompas
Journal:  Crit Care Med       Date:  2015-08       Impact factor: 7.598

7.  Estimating Ten-Year Trends in Septic Shock Incidence and Mortality in United States Academic Medical Centers Using Clinical Data.

Authors:  Sameer S Kadri; Chanu Rhee; Jeffrey R Strich; Megan K Morales; Samuel Hohmann; Jonathan Menchaca; Anthony F Suffredini; Robert L Danner; Michael Klompas
Journal:  Chest       Date:  2016-07-22       Impact factor: 9.410

8.  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

9.  Quantifying the improvement in sepsis diagnosis, documentation, and coding: the marginal causal effect of year of hospitalization on sepsis diagnosis.

Authors:  S Reza Jafarzadeh; Benjamin S Thomas; Jonas Marschall; Victoria J Fraser; Jeff Gill; David K Warren
Journal:  Ann Epidemiol       Date:  2015-10-28       Impact factor: 3.797

10.  Diagnosing sepsis is subjective and highly variable: a survey of intensivists using case vignettes.

Authors:  Chanu Rhee; Sameer S Kadri; Robert L Danner; Anthony F Suffredini; Anthony F Massaro; Barrett T Kitch; Grace Lee; Michael Klompas
Journal:  Crit Care       Date:  2016-04-06       Impact factor: 9.097

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  434 in total

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

Authors:  Chanu Rhee; Rui Wang; Zilu Zhang; David Fram; Sameer S Kadri; Michael Klompas
Journal:  Crit Care Med       Date:  2019-09       Impact factor: 7.598

2.  Clinician Perception of a Machine Learning-Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock.

Authors:  Jennifer C Ginestra; Heather M Giannini; William D Schweickert; Laurie Meadows; Michael J Lynch; Kimberly Pavan; Corey J Chivers; Michael Draugelis; Patrick J Donnelly; Barry D Fuchs; Craig A Umscheid
Journal:  Crit Care Med       Date:  2019-11       Impact factor: 7.598

Review 3.  Utility of Procalcitonin as a Biomarker for Sepsis in Children.

Authors:  Kevin J Downes; Julie C Fitzgerald; Scott L Weiss
Journal:  J Clin Microbiol       Date:  2020-06-24       Impact factor: 5.948

4.  Mechanistic insights into cell-free hemoglobin-induced injury during septic shock.

Authors:  Jeffrey Wang; Willard N Applefeld; Junfeng Sun; Steve B Solomon; Jing Feng; Zoe G Couse; Thomas F Risoleo; Robert L Danner; Jesús Tejero; Juan Lertora; Elmira Alipour; Swati Basu; Vandana Sachdev; Daniel B Kim-Shapiro; Mark T Gladwin; Harvey G Klein; Charles Natanson
Journal:  Am J Physiol Heart Circ Physiol       Date:  2021-05-14       Impact factor: 4.733

5.  The Legacy of Pediatric Sepsis State Legislation.

Authors:  Halden F Scott; Fran Balamuth; Elizabeth R Alpern
Journal:  Pediatrics       Date:  2020-07       Impact factor: 7.124

6.  Preexisting malignancy abrogates the beneficial effects of CXCR4 blockade during sepsis.

Authors:  Wenxiao Zhang; Deena B Chihade; Jianfeng Xie; Ching-Wen Chen; Kimberly M Ramonell; Zhe Liang; Craig M Coopersmith; Mandy L Ford
Journal:  J Leukoc Biol       Date:  2020-01-27       Impact factor: 4.962

Review 7.  Bench-to-Bedside: A Translational Perspective on Murine Models of Sepsis.

Authors:  Anthony J Lewis; Matthew R Rosengart
Journal:  Surg Infect (Larchmt)       Date:  2018-02-02       Impact factor: 2.150

8.  Liberal Versus Restrictive Intravenous Fluid Therapy for Early Septic Shock: Rationale for a Randomized Trial.

Authors:  Wesley H Self; Matthew W Semler; Rinaldo Bellomo; Samuel M Brown; Bennett P deBoisblanc; Matthew C Exline; Adit A Ginde; Colin K Grissom; David R Janz; Alan E Jones; Kathleen D Liu; Stephen P J Macdonald; Chadwick D Miller; Pauline K Park; Lora A Reineck; Todd W Rice; Jay S Steingrub; Daniel Talmor; Donald M Yealy; Ivor S Douglas; Nathan I Shapiro
Journal:  Ann Emerg Med       Date:  2018-05-10       Impact factor: 5.721

9.  Sepsis Biomarkers.

Authors:  Yachana Kataria; Daniel Remick
Journal:  Methods Mol Biol       Date:  2021

10.  Circulating Plasma Extracellular Vesicles from Septic Mice Induce Inflammation via MicroRNA- and TLR7-Dependent Mechanisms.

Authors:  Jinjin Xu; Yan Feng; Anjana Jeyaram; Steven M Jay; Lin Zou; Wei Chao
Journal:  J Immunol       Date:  2018-10-24       Impact factor: 5.422

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