Literature DB >> 28595819

Risk factors and prediction model for inpatient surgical site infection after major abdominal surgery.

Aslam Ejaz1, Carl Schmidt2, Fabian M Johnston1, Steve M Frank3, Timothy M Pawlik4.   

Abstract

BACKGROUND: Surgical site infections (SSIs) are a common source of postoperative morbidity and a marker of surgical quality. The ability to predict the incidence of SSIs is limited and most models have poor predictive value. We sought to identify risk factors associated with SSIs and develop a prediction model for SSIs after major abdominal surgery.
METHODS: A total of 1744 patients undergoing pancreatic, hepatobiliary, and colorectal resections between January 1, 2010 and August 31, 2013 at Johns Hopkins Hospital were identified. Risk factors for any inpatient SSI (superficial and deep) were evaluated using multivariable logistic regression.
RESULTS: Median patient age was 58 y (interquartile range 47, 68); surgical procedures included colorectal (59.0%), liver (26.2%), and pancreas (14.8%) resections. SSI occurred in 7.6% (n = 132) of patients. Factors associated with SSI included preoperative weight loss >4.5 kg (odds ratio [OR], 2.12; 95% confidence interval [CI], 1.06-4.25), emergency operations (OR, 2.05; 95% CI, 1.32-3.17), and colorectal resections (OR, 1.65; 95% CI, 1.13-2.43) (all P ≤ 0.003). Intraoperative and postoperative risk factors included estimated blood loss (EBL) >600 mL (OR, 2.23; 95% CI, 1.54-3.25), maximum respiratory rate (tachypnea) >20 breaths/min (OR, 1.74; 95% CI, 1.19-2.54), and perioperative transfusion (OR, 2.01; 95% CI, 1.33-3.04) (all P = 0.001). Intraoperative hypothermia, hyperthermia, bradycardia, tachycardia, hypotension, and hypertension were not associated with SSIs (all P > 0.05). After controlling competing risk factors, transfusion, EBL >600 mL, tachypnea, and colorectal resection were independently associated with SSIs (all P < 0.003). On the basis of the beta-coefficients in the multivariable model, an SSI scoring system was created by assigning 2 points for EBL >600 mL, 2 points for a colorectal resection, 3 points for tachypnea, and 3 points for a transfusion. The model showed good discriminatory ability to predict SSI (c-statistic = 0.7232; Akaike information criterion 875.37).
CONCLUSIONS: A novel, simple 10-point SSI scoring system that incorporated perioperative risk factors such as blood transfusion, EBL, tachypnea, and the type of surgical procedure accurately stratifies patients according to SSI risk.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Infection; Surgery; Surgical site infection; Wound

Mesh:

Year:  2017        PMID: 28595819     DOI: 10.1016/j.jss.2017.05.018

Source DB:  PubMed          Journal:  J Surg Res        ISSN: 0022-4804            Impact factor:   2.192


  14 in total

1.  The value of acoustic respiratory rate monitoring in a patient with postoperative hemorrhage after thyroidectomy: a case report.

Authors:  Masashi Ishikawa; Dai Namizato; Atsuhiro Sakamoto
Journal:  J Clin Monit Comput       Date:  2019-02-19       Impact factor: 2.502

2.  Development and Validation of a Nomogram Based on Geriatric Nutritional Risk Index to Predict Surgical Site Infection Among Gynecologic Oncology Patients.

Authors:  Zhihui Chen; Mingchen Zhong; Ziqin Xu; Qing Ye; Wenwen Xie; Shengchun Gao; Le Chen; Lidan Qiu; Jiaru Jiang; Hongmei Wu; Xiuyang Li; Haihong Wang
Journal:  Front Nutr       Date:  2022-04-27

3.  Warm Weather and Surgical Site Infections: A Meta-analysis.

Authors:  Anouschka P H Sahtoe; Liron S Duraku; Mark J W van der Oest; Caroline A Hundepool; Marjolein de Kraker; Lonneke G M Bode; J Michiel Zuidam
Journal:  Plast Reconstr Surg Glob Open       Date:  2021-07-27

4.  Clinical prediction score for superficial surgical site infection after appendectomy in adults with complicated appendicitis.

Authors:  Pinit Noorit; Boonying Siribumrungwong; Ammarin Thakkinstian
Journal:  World J Emerg Surg       Date:  2018-06-18       Impact factor: 5.469

5.  Gut microbiome patterns correlate with higher postoperative complication rates after pancreatic surgery.

Authors:  Felix C F Schmitt; Thorsten Brenner; Florian Uhle; Svenja Loesch; Thilo Hackert; Alexis Ulrich; Stefan Hofer; Alexander H Dalpke; Markus A Weigand; Sébastien Boutin
Journal:  BMC Microbiol       Date:  2019-02-18       Impact factor: 3.605

Review 6.  The gut microbiota and colorectal surgery outcomes: facts or hype? A narrative review.

Authors:  Annamaria Agnes; Caterina Puccioni; Domenico D'Ugo; Antonio Gasbarrini; Alberto Biondi; Roberto Persiani
Journal:  BMC Surg       Date:  2021-02-12       Impact factor: 2.102

7.  Risk factors and the utility of three different kinds of prediction models for postoperative fatigue after gastrointestinal tumor surgery.

Authors:  Xin-Yi Xu; Jin-Ling Lu; Qin Xu; Hong-Xia Hua; Le Xu; Li Chen
Journal:  Support Care Cancer       Date:  2020-04-26       Impact factor: 3.603

8.  Prophylactic negative pressure wound therapy for closed laparotomy wounds: a systematic review and meta-analysis of randomised controlled trials.

Authors:  Patrick Anthony Boland; Michael E Kelly; Noel E Donlon; Jarlath C Bolger; Brian J Mehigan; Paul H McCormick; John O Larkin
Journal:  Ir J Med Sci       Date:  2020-06-25       Impact factor: 2.089

9.  Prophylactic antibiotic bundle compliance and surgical site infections: an artificial neural network analysis.

Authors:  Steven Walczak; Marbelly Davila; Vic Velanovich
Journal:  Patient Saf Surg       Date:  2019-12-07

10.  Risk factors for surgical site infections using a data-driven approach.

Authors:  J M van Niekerk; M C Vos; A Stein; L M A Braakman-Jansen; A F Voor In 't Holt; J E W C van Gemert-Pijnen
Journal:  PLoS One       Date:  2020-10-28       Impact factor: 3.240

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