Literature DB >> 21747125

Early diagnosis and evidence-based care of surgical sepsis.

Laura J Moore1, Frederick A Moore.   

Abstract

Sepsis continues to be a common and serious problem among surgical patients. It is a leading cause of both morbidity and mortality in the perioperative period. The early identification of sepsis and the early implementation of evidence-based care can improve outcomes. This focused review will identify ways to improve the early identification of sepsis and discuss the current evidence-based guidelines for the early management of sepsis, severe sepsis, and septic shock in the surgical patients.

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Year:  2011        PMID: 21747125     DOI: 10.1177/0885066611408690

Source DB:  PubMed          Journal:  J Intensive Care Med        ISSN: 0885-0666            Impact factor:   3.510


  10 in total

1.  Lessons from Trauma Care: Abdominal Compartment Syndrome and Damage Control Laparotomy in the Patient with Gastrointestinal Disease.

Authors:  Aaron Richman; Clay Cothren Burlew
Journal:  J Gastrointest Surg       Date:  2018-10-01       Impact factor: 3.452

2.  The impact of timing of antibiotics on in-hospital outcomes after major emergency abdominal surgery.

Authors:  Mücahit Harmankaya; Jakob Ohm Oreskov; Jakob Burcharth; Ismail Gögenur
Journal:  Eur J Trauma Emerg Surg       Date:  2018-10-11       Impact factor: 3.693

3.  The Combined SIRS + qSOFA (qSIRS) Score is More Accurate Than qSOFA Alone in Predicting Mortality in Patients with Surgical Sepsis in an LMIC Emergency Department.

Authors:  S L Green; M T D Smith; C Cairns; D L Clarke; J Bruce; W Bekker; V Kong; G L Laing
Journal:  World J Surg       Date:  2020-01       Impact factor: 3.352

Review 4.  Diagnostics, therapy and outcome prediction in abdominal sepsis: current standards and future perspectives.

Authors:  A Hecker; F Uhle; T Schwandner; W Padberg; M A Weigand
Journal:  Langenbecks Arch Surg       Date:  2013-11-02       Impact factor: 3.445

5.  Damage control operations in non-trauma patients: defining criteria for the staged rapid source control laparotomy in emergency general surgery.

Authors:  Robert D Becher; Andrew B Peitzman; Jason L Sperry; Jared R Gallaher; Lucas P Neff; Yankai Sun; Preston R Miller; Michael C Chang
Journal:  World J Emerg Surg       Date:  2016-02-24       Impact factor: 5.469

6.  Effect of a sepsis prediction algorithm on patient mortality, length of stay and readmission: a prospective multicentre clinical outcomes evaluation of real-world patient data from US hospitals.

Authors:  Hoyt Burdick; Eduardo Pino; Denise Gabel-Comeau; Andrea McCoy; Carol Gu; Jonathan Roberts; Sidney Le; Joseph Slote; Emily Pellegrini; Abigail Green-Saxena; Jana Hoffman; Ritankar Das
Journal:  BMJ Health Care Inform       Date:  2020-04

7.  Combined quantification of procalcitonin and HLA-DR improves sepsis detection in surgical patients.

Authors:  Raquel Almansa; Silvia Martín; Marta Martin-Fernandez; María Heredia-Rodríguez; Esther Gómez-Sánchez; Marta Aragón; Cristina Andrés; Dolores Calvo; Jesus Rico-Feijoo; Maria Carmen Esteban-Velasco; Luis Mario Vaquero-Roncero; Alicia Ortega; Estefania Gómez-Pesquera; Mario Lorenzo-López; Iñigo López de Cenarruzabeitia; Diana Benavides; Jaime López-Sanchez; Cristina Doncel; Carmen González-Sanchez; Esther Zarca; Alberto Ríos-Llorente; Agustín Diaz; Elisa Sanchez-Barrado; Juan Beltran de Heredia; Jose Maria Calvo-Vecino; Luis Muñoz-Bellvís; Jose Ignacio Gomez-Herreras; César Aldecoa; Eduardo Tamayo; Jesus F Bermejo-Martin
Journal:  Sci Rep       Date:  2018-08-10       Impact factor: 4.379

8.  Rethinking our definition of operative success: predicting early mortality after emergency general surgery colon resection.

Authors:  Michael P DeWane; Kimberly A Davis; Kevin M Schuster; Adrian A Maung; Robert D Becher
Journal:  Trauma Surg Acute Care Open       Date:  2019-05-15

9.  Role of the Rho/ROCK signaling pathway in the protective effects of fasudil against acute lung injury in septic rats.

Authors:  Yu Wang; Xiaofeng Wang; Wei Liu; Lichun Zhang
Journal:  Mol Med Rep       Date:  2018-09-03       Impact factor: 2.952

10.  Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals.

Authors:  Hoyt Burdick; Eduardo Pino; Denise Gabel-Comeau; Carol Gu; Jonathan Roberts; Sidney Le; Joseph Slote; Nicholas Saber; Emily Pellegrini; Abigail Green-Saxena; Jana Hoffman; Ritankar Das
Journal:  BMC Med Inform Decis Mak       Date:  2020-10-27       Impact factor: 2.796

  10 in total

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