Sepsis after major cancer surgery

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Sepsis after major cancer surgery. / Sammon, Jesse D; Klett, Dane E; Sood, Akshay; Olugbade, Kola; Schmid, Marianne; Kim, Simon P; Menon, Mani; Trinh, Quoc-Dien.

In: J SURG RES, Vol. 193, No. 2, 01.02.2015, p. 788-94.

Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

Harvard

Sammon, JD, Klett, DE, Sood, A, Olugbade, K, Schmid, M, Kim, SP, Menon, M & Trinh, Q-D 2015, 'Sepsis after major cancer surgery', J SURG RES, vol. 193, no. 2, pp. 788-94. https://doi.org/10.1016/j.jss.2014.07.046

APA

Sammon, J. D., Klett, D. E., Sood, A., Olugbade, K., Schmid, M., Kim, S. P., Menon, M., & Trinh, Q-D. (2015). Sepsis after major cancer surgery. J SURG RES, 193(2), 788-94. https://doi.org/10.1016/j.jss.2014.07.046

Vancouver

Sammon JD, Klett DE, Sood A, Olugbade K, Schmid M, Kim SP et al. Sepsis after major cancer surgery. J SURG RES. 2015 Feb 1;193(2):788-94. https://doi.org/10.1016/j.jss.2014.07.046

Bibtex

@article{e34f3bed69d54a5eb8b7f5e204f2a408,
title = "Sepsis after major cancer surgery",
abstract = "BACKGROUND: Cancer patients undergoing procedures are at increased risk of sepsis. We sought to evaluate the incidence of postoperative sepsis following major cancer surgeries (MCS), and to describe patient and/or hospital characteristics associated with heightened risk.METHODS: Patients undergoing 1 of 8 MCS (colectomy, cystectomy, esophagectomy, gastrectomy, hysterectomy, lung resection, pancreatectomy, and prostatectomy) within the Nationwide Inpatient Sample from 1999-2009 were identified (N = 2,502,710). Logistic regression models fitted with generalized estimating equations were used to estimate primary predictors (procedure, age, gender, race, insurance, Charlson Comorbidity Index, hospital volume, and hospital bed size) effect on sepsis and sepsis-associated mortality. Trends were evaluated with linear regression.RESULTS: The incidence of MCS-related sepsis increased 2.0% per year (P < 0.001), whereas mortality remained stable. Odds of sepsis were highest among esophagectomy patients (odds ratio [OR]: 3.13, 2.76-3.55) and those with non-private insurance (OR: 1.33, 1.19-1.48 to OR: 1.89, 1.71-2.09). Odds of sepsis-related mortality were highest among lung resection patients (OR: 2.30, 2.00-2.64) and those experiencing perioperative liver failure (OR: 5.68, 4.30-7.52). Increasing hospital volume was associated with lower odds of sepsis and sepsis-related mortality (OR: 0.89, 0.84-0.95 to OR: 0.58, 0.53-0.62 and OR: 0.88, 0.77-0.99 to OR: 0.78, 0.67-0.93).CONCLUSIONS: Between 1999 and 2009, the incidence of MCS-related sepsis increased; however, sepsis-related mortality remained stable. Significant disparities exist in patient and hospital characteristics associated with MCS-related sepsis. Hospital volume is an important modifiable risk factor associated with improved sepsis-related outcomes following MCS.",
keywords = "Aged, Aged, 80 and over, Female, Humans, Incidence, Male, Middle Aged, Neoplasms, Postoperative Complications, Retrospective Studies, Sepsis, United States",
author = "Sammon, {Jesse D} and Klett, {Dane E} and Akshay Sood and Kola Olugbade and Marianne Schmid and Kim, {Simon P} and Mani Menon and Quoc-Dien Trinh",
note = "Copyright {\textcopyright} 2015 Elsevier Inc. All rights reserved.",
year = "2015",
month = feb,
day = "1",
doi = "10.1016/j.jss.2014.07.046",
language = "English",
volume = "193",
pages = "788--94",
journal = "J SURG RES",
issn = "0022-4804",
publisher = "Academic Press Inc.",
number = "2",

}

RIS

TY - JOUR

T1 - Sepsis after major cancer surgery

AU - Sammon, Jesse D

AU - Klett, Dane E

AU - Sood, Akshay

AU - Olugbade, Kola

AU - Schmid, Marianne

AU - Kim, Simon P

AU - Menon, Mani

AU - Trinh, Quoc-Dien

N1 - Copyright © 2015 Elsevier Inc. All rights reserved.

PY - 2015/2/1

Y1 - 2015/2/1

N2 - BACKGROUND: Cancer patients undergoing procedures are at increased risk of sepsis. We sought to evaluate the incidence of postoperative sepsis following major cancer surgeries (MCS), and to describe patient and/or hospital characteristics associated with heightened risk.METHODS: Patients undergoing 1 of 8 MCS (colectomy, cystectomy, esophagectomy, gastrectomy, hysterectomy, lung resection, pancreatectomy, and prostatectomy) within the Nationwide Inpatient Sample from 1999-2009 were identified (N = 2,502,710). Logistic regression models fitted with generalized estimating equations were used to estimate primary predictors (procedure, age, gender, race, insurance, Charlson Comorbidity Index, hospital volume, and hospital bed size) effect on sepsis and sepsis-associated mortality. Trends were evaluated with linear regression.RESULTS: The incidence of MCS-related sepsis increased 2.0% per year (P < 0.001), whereas mortality remained stable. Odds of sepsis were highest among esophagectomy patients (odds ratio [OR]: 3.13, 2.76-3.55) and those with non-private insurance (OR: 1.33, 1.19-1.48 to OR: 1.89, 1.71-2.09). Odds of sepsis-related mortality were highest among lung resection patients (OR: 2.30, 2.00-2.64) and those experiencing perioperative liver failure (OR: 5.68, 4.30-7.52). Increasing hospital volume was associated with lower odds of sepsis and sepsis-related mortality (OR: 0.89, 0.84-0.95 to OR: 0.58, 0.53-0.62 and OR: 0.88, 0.77-0.99 to OR: 0.78, 0.67-0.93).CONCLUSIONS: Between 1999 and 2009, the incidence of MCS-related sepsis increased; however, sepsis-related mortality remained stable. Significant disparities exist in patient and hospital characteristics associated with MCS-related sepsis. Hospital volume is an important modifiable risk factor associated with improved sepsis-related outcomes following MCS.

AB - BACKGROUND: Cancer patients undergoing procedures are at increased risk of sepsis. We sought to evaluate the incidence of postoperative sepsis following major cancer surgeries (MCS), and to describe patient and/or hospital characteristics associated with heightened risk.METHODS: Patients undergoing 1 of 8 MCS (colectomy, cystectomy, esophagectomy, gastrectomy, hysterectomy, lung resection, pancreatectomy, and prostatectomy) within the Nationwide Inpatient Sample from 1999-2009 were identified (N = 2,502,710). Logistic regression models fitted with generalized estimating equations were used to estimate primary predictors (procedure, age, gender, race, insurance, Charlson Comorbidity Index, hospital volume, and hospital bed size) effect on sepsis and sepsis-associated mortality. Trends were evaluated with linear regression.RESULTS: The incidence of MCS-related sepsis increased 2.0% per year (P < 0.001), whereas mortality remained stable. Odds of sepsis were highest among esophagectomy patients (odds ratio [OR]: 3.13, 2.76-3.55) and those with non-private insurance (OR: 1.33, 1.19-1.48 to OR: 1.89, 1.71-2.09). Odds of sepsis-related mortality were highest among lung resection patients (OR: 2.30, 2.00-2.64) and those experiencing perioperative liver failure (OR: 5.68, 4.30-7.52). Increasing hospital volume was associated with lower odds of sepsis and sepsis-related mortality (OR: 0.89, 0.84-0.95 to OR: 0.58, 0.53-0.62 and OR: 0.88, 0.77-0.99 to OR: 0.78, 0.67-0.93).CONCLUSIONS: Between 1999 and 2009, the incidence of MCS-related sepsis increased; however, sepsis-related mortality remained stable. Significant disparities exist in patient and hospital characteristics associated with MCS-related sepsis. Hospital volume is an important modifiable risk factor associated with improved sepsis-related outcomes following MCS.

KW - Aged

KW - Aged, 80 and over

KW - Female

KW - Humans

KW - Incidence

KW - Male

KW - Middle Aged

KW - Neoplasms

KW - Postoperative Complications

KW - Retrospective Studies

KW - Sepsis

KW - United States

U2 - 10.1016/j.jss.2014.07.046

DO - 10.1016/j.jss.2014.07.046

M3 - SCORING: Journal article

C2 - 25167780

VL - 193

SP - 788

EP - 794

JO - J SURG RES

JF - J SURG RES

SN - 0022-4804

IS - 2

ER -