Literature DB >> 19298170

Trends in postoperative sepsis: are we improving outcomes?

Todd R Vogel1, Viktor Y Dombrovskiy, Stephen F Lowry.   

Abstract

BACKGROUND AND
PURPOSE: Each year, as many as two million operations are complicated by surgical site infections in the United States, and surgical patients account for 30% of patients with sepsis. The purpose of this study was to determine recent trends in sepsis incidence, severity, and mortality rate after surgical procedures and to evaluate changes in the pattern of septicemia pathogens over time.
METHODS: Analysis of the 1990-2006 hospital discharge data from the Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SID) for New Jersey. Patients >or= 18 years who developed sepsis after surgery were identified using International Classification of Diseases, Ninth Revision, Clinical Modification codes as defined by the Patient Safety Indicator "Postoperative Sepsis" developed by the Agency for Healthcare Research and Quality (AHRQ). Severe sepsis was defined as sepsis complicated by organ dysfunction.
RESULTS: A total of 1,276,451 surgery discharges (537,843 elective [42.1%] and 738,608 non-elective [57.9%] procedures) were identified. After elective surgery, 5,865 patients (1.09%) developed postoperative sepsis, of whom 2,778 (0.52%) had severe sepsis. The incidence of postoperative sepsis after elective surgery increased from 0.67% to 1.74% (p < 0.0001) and severe sepsis after elective surgery from 0.22% to 1.12% (p < 0.0001). The sepsis mortality rate for elective procedures showed no significant change over time. The proportion of severe sepsis after elective cases increased from 32.9% to 64.6% (p < 0.0002). The rates of postoperative sepsis (4.24%) and severe sepsis (2.28%) were significantly greater for non-elective than for elective procedures (p < 0.0002). Non-elective surgical procedures had a significant increase in the rates of postoperative sepsis (3.74% to 4.51%) and severe sepsis (1.79% to 3.15%) over time (p < 0.0001) with the proportion of severe sepsis increasing from 47.7% to 69.9% (p < 0.0002). The in-hospital mortality rate after non-elective surgery decreased from 37.9% to 29.8% (p < 0.0001).
CONCLUSIONS: Sepsis and death were more likely after non-elective than elective surgery. Sepsis and severe sepsis has increased significantly after elective and non-elective procedures over the last 17 years. The hospital mortality rate was reduced significantly after non-elective surgery, but no improvements were found for elective surgery patients who developed sepsis. Disparities in age, sex, and ethnicity and the development of postoperative surgical sepsis were found. Population-based studies may assist in defining temporal trends, disparities, and outcomes in sepsis not elucidated in smaller studies.

Entities:  

Mesh:

Year:  2009        PMID: 19298170      PMCID: PMC2846560          DOI: 10.1089/sur.2008.046

Source DB:  PubMed          Journal:  Surg Infect (Larchmt)        ISSN: 1096-2964            Impact factor:   2.150


  34 in total

Review 1.  The stress response to trauma and surgery.

Authors:  J P Desborough
Journal:  Br J Anaesth       Date:  2000-07       Impact factor: 9.166

2.  Postoperative serious adverse events in a teaching hospital: a prospective study.

Authors:  Rinaldo Bellomo; Donna Goldsmith; Sarah Russell; Shigehiko Uchino
Journal:  Med J Aust       Date:  2002-03-04       Impact factor: 7.738

3.  Postoperative sepsis: trends and factors influencing sepsis over a 20-year period reviewed in 20,000 cases.

Authors:  B A BARNES; G E BEHRINGER; F C WHEELOCK; E W WILKINS
Journal:  Ann Surg       Date:  1961-10       Impact factor: 12.969

4.  Predictive perioperative factors for developing severe sepsis after major surgery.

Authors:  D Mokart; M Leone; A Sannini; J P Brun; A Tison; J R Delpero; G Houvenaeghel; J L Blache; C Martin
Journal:  Br J Anaesth       Date:  2005-10-14       Impact factor: 9.166

5.  Facing the challenge: decreasing case fatality rates in severe sepsis despite increasing hospitalizations.

Authors:  Viktor Y Dombrovskiy; Andrew A Martin; Jagadeeshan Sunderram; Harold L Paz
Journal:  Crit Care Med       Date:  2005-11       Impact factor: 7.598

6.  Deaths: leading causes for 2002.

Authors:  Robert N Anderson; Betty L Smith
Journal:  Natl Vital Stat Rep       Date:  2005-03-07

Review 7.  The measurement and monitoring of surgical adverse events.

Authors:  J Bruce; E M Russell; J Mollison; Z H Krukowski
Journal:  Health Technol Assess       Date:  2001       Impact factor: 4.014

8.  Long term trends in the occurrence of nosocomial blood stream infection.

Authors:  G Taylor; M Buchanan-Chell; T Kirkland; M McKenzie; R Wiens
Journal:  Can J Infect Dis       Date:  2000-01

9.  An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with an acute myocardial infarction.

Authors:  Harlan M Krumholz; Yun Wang; Jennifer A Mattera; Yongfei Wang; Lein Fang Han; Melvin J Ingber; Sheila Roman; Sharon-Lise T Normand
Journal:  Circulation       Date:  2006-03-20       Impact factor: 29.690

10.  National trends in Staphylococcus aureus infection rates: impact on economic burden and mortality over a 6-year period (1998-2003).

Authors:  Gary A Noskin; Robert J Rubin; Jerome J Schentag; Jan Kluytmans; Edwin C Hedblom; Cassie Jacobson; Maartje Smulders; Eric Gemmen; Murtuza Bharmal
Journal:  Clin Infect Dis       Date:  2007-09-21       Impact factor: 9.079

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  17 in total

Review 1.  Developing a New Definition and Assessing New Clinical Criteria for Septic Shock: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3).

Authors:  Manu Shankar-Hari; Gary S Phillips; Mitchell L Levy; Christopher W Seymour; Vincent X Liu; Clifford S Deutschman; Derek C Angus; Gordon D Rubenfeld; Mervyn Singer
Journal:  JAMA       Date:  2016-02-23       Impact factor: 56.272

2.  Has the rate of in-hospital infections after total joint arthroplasty decreased?

Authors:  Mohammad R Rasouli; Mitchell Gil Maltenfort; James J Purtill; William J Hozack; Javad Parvizi
Journal:  Clin Orthop Relat Res       Date:  2013-10       Impact factor: 4.176

3.  Postoperative mortality and morbidity following non-cardiac surgery in a healthy patient population.

Authors:  Rodney A Gabriel; Jacklynn F Sztain; Alison M A'Court; Diana J Hylton; Ruth S Waterman; Ulrich Schmidt
Journal:  J Anesth       Date:  2017-12-26       Impact factor: 2.078

Review 4.  The intestinal microbiome and surgical disease.

Authors:  Monika A Krezalek; Kinga B Skowron; Kristina L Guyton; Baddr Shakhsheer; Sanjiv Hyoju; John C Alverdy
Journal:  Curr Probl Surg       Date:  2016-06-14       Impact factor: 1.909

5.  Systematic review and consensus definitions for the Standardised Endpoints in Perioperative Medicine (StEP) initiative: infection and sepsis.

Authors:  Jonathan Barnes; Jennifer Hunter; Steve Harris; Manu Shankar-Hari; Elisabeth Diouf; Ib Jammer; Cor Kalkman; Andrew A Klein; Tomas Corcoran; Stefan Dieleman; Michael P W Grocott; Michael G Mythen
Journal:  Br J Anaesth       Date:  2019-02-14       Impact factor: 9.166

6.  Postoperative sepsis in the United States.

Authors:  Todd R Vogel; Viktor Y Dombrovskiy; Jeffrey L Carson; Alan M Graham; Stephen F Lowry
Journal:  Ann Surg       Date:  2010-12       Impact factor: 12.969

7.  Health Disparities and Sepsis: a Systematic Review and Meta-Analysis on the Influence of Race on Sepsis-Related Mortality.

Authors:  Panagis Galiatsatos; Junfeng Sun; Judith Welsh; Anthony Suffredini
Journal:  J Racial Ethn Health Disparities       Date:  2019-05-29

Review 8.  Opportunities for machine learning to improve surgical ward safety.

Authors:  Tyler J Loftus; Patrick J Tighe; Amanda C Filiberto; Jeremy Balch; Gilbert R Upchurch; Parisa Rashidi; Azra Bihorac
Journal:  Am J Surg       Date:  2020-02-26       Impact factor: 2.565

Review 9.  The stressed host response to infection: the disruptive signals and rhythms of systemic inflammation.

Authors:  Stephen F Lowry
Journal:  Surg Clin North Am       Date:  2009-04       Impact factor: 2.741

10.  Insights into temporal patterns of hospital patient safety from routinely collected electronic data.

Authors:  Blanca Gallego; Farah Magrabi; Oscar Perez Concha; Ying Wang; Enrico Coiera
Journal:  Health Inf Sci Syst       Date:  2015-02-24
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