Cargando…

QSIRS Can Improve Accuracy of QSOFA and SIRS in Prediction of Mortality in Surgical Emergencies

Background  The quick sequential organ failure assessment (QSOFA) score and the systemic inflammatory response syndrome (SIRS) criteria were developed to predict the risk of sepsis and death in patients received in emergency. To improve sensitivity in predicting death, the association of the two sco...

Descripción completa

Detalles Bibliográficos
Autores principales: Ndong, Abdourahmane, Diallo, Adja Coumba, Tendeng, Jacques Noel, Diallo, Amadou Ibra, Diao, Mohamed Lamine, Sagna, Sylvain Assega, Diop, Saer, Dia, Diago Anta, Diouf, Daouda, Racine, Bayo Ismael, Nyemb, Philippe Manyacka Ma, Konaté, Ibrahima
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Thieme Medical Publishers, Inc. 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354340/
https://www.ncbi.nlm.nih.gov/pubmed/34395872
http://dx.doi.org/10.1055/s-0041-1733831
_version_ 1783736574505123840
author Ndong, Abdourahmane
Diallo, Adja Coumba
Tendeng, Jacques Noel
Diallo, Amadou Ibra
Diao, Mohamed Lamine
Sagna, Sylvain Assega
Diop, Saer
Dia, Diago Anta
Diouf, Daouda
Racine, Bayo Ismael
Nyemb, Philippe Manyacka Ma
Konaté, Ibrahima
author_facet Ndong, Abdourahmane
Diallo, Adja Coumba
Tendeng, Jacques Noel
Diallo, Amadou Ibra
Diao, Mohamed Lamine
Sagna, Sylvain Assega
Diop, Saer
Dia, Diago Anta
Diouf, Daouda
Racine, Bayo Ismael
Nyemb, Philippe Manyacka Ma
Konaté, Ibrahima
author_sort Ndong, Abdourahmane
collection PubMed
description Background  The quick sequential organ failure assessment (QSOFA) score and the systemic inflammatory response syndrome (SIRS) criteria were developed to predict the risk of sepsis and death in patients received in emergency. To improve sensitivity in predicting death, the association of the two scores was proposed under the term QSIRS (QSOFA + SIRS). Our aim was to determine the accuracy of QSOFA, SIRS, and QSIRS in prediction of mortality in surgical emergencies, and to compare these scores. Patients and Methods  This is a prospective study over a period of 1 year. Patients older than 15 years who presented a digestive surgical emergency (bowel obstruction, peritonitis, appendicitis, strangulated hernia) were included. For each score, the specificity, the sensitivity, the positive predictive value, the negative predictive value, and areas under the receiver operating characteristic (ROC) curve (AUC) were compared. Results  One hundred and eighteen patients were included and 11 deaths were recorded (9.3%). There was a statistically significant relationship between each score and death (QSOFA p  = 0.01, SIRS p  = 0.003, and QSIRS p  = 0.004). The realization of the ROC curve found a higher AUC for QSIRS (0.845 [0.767–0.905]) compared with QSOFA (0.783 [0.698–0.854]) and SIRS (0.737 [0.648–0.813]). QSIRS (90.9%) had a higher sensitivity compared with the two other scores alone (SIRS = 81.9% and QSOFA = 36.3%). Conclusion  Our study found that QSIRS improves the ability to predict death in digestive surgical emergencies.
format Online
Article
Text
id pubmed-8354340
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Thieme Medical Publishers, Inc.
record_format MEDLINE/PubMed
spelling pubmed-83543402021-08-12 QSIRS Can Improve Accuracy of QSOFA and SIRS in Prediction of Mortality in Surgical Emergencies Ndong, Abdourahmane Diallo, Adja Coumba Tendeng, Jacques Noel Diallo, Amadou Ibra Diao, Mohamed Lamine Sagna, Sylvain Assega Diop, Saer Dia, Diago Anta Diouf, Daouda Racine, Bayo Ismael Nyemb, Philippe Manyacka Ma Konaté, Ibrahima Surg J (N Y) Background  The quick sequential organ failure assessment (QSOFA) score and the systemic inflammatory response syndrome (SIRS) criteria were developed to predict the risk of sepsis and death in patients received in emergency. To improve sensitivity in predicting death, the association of the two scores was proposed under the term QSIRS (QSOFA + SIRS). Our aim was to determine the accuracy of QSOFA, SIRS, and QSIRS in prediction of mortality in surgical emergencies, and to compare these scores. Patients and Methods  This is a prospective study over a period of 1 year. Patients older than 15 years who presented a digestive surgical emergency (bowel obstruction, peritonitis, appendicitis, strangulated hernia) were included. For each score, the specificity, the sensitivity, the positive predictive value, the negative predictive value, and areas under the receiver operating characteristic (ROC) curve (AUC) were compared. Results  One hundred and eighteen patients were included and 11 deaths were recorded (9.3%). There was a statistically significant relationship between each score and death (QSOFA p  = 0.01, SIRS p  = 0.003, and QSIRS p  = 0.004). The realization of the ROC curve found a higher AUC for QSIRS (0.845 [0.767–0.905]) compared with QSOFA (0.783 [0.698–0.854]) and SIRS (0.737 [0.648–0.813]). QSIRS (90.9%) had a higher sensitivity compared with the two other scores alone (SIRS = 81.9% and QSOFA = 36.3%). Conclusion  Our study found that QSIRS improves the ability to predict death in digestive surgical emergencies. Thieme Medical Publishers, Inc. 2021-08-03 /pmc/articles/PMC8354340/ /pubmed/34395872 http://dx.doi.org/10.1055/s-0041-1733831 Text en The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. ( https://creativecommons.org/licenses/by/4.0/ ) https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Ndong, Abdourahmane
Diallo, Adja Coumba
Tendeng, Jacques Noel
Diallo, Amadou Ibra
Diao, Mohamed Lamine
Sagna, Sylvain Assega
Diop, Saer
Dia, Diago Anta
Diouf, Daouda
Racine, Bayo Ismael
Nyemb, Philippe Manyacka Ma
Konaté, Ibrahima
QSIRS Can Improve Accuracy of QSOFA and SIRS in Prediction of Mortality in Surgical Emergencies
title QSIRS Can Improve Accuracy of QSOFA and SIRS in Prediction of Mortality in Surgical Emergencies
title_full QSIRS Can Improve Accuracy of QSOFA and SIRS in Prediction of Mortality in Surgical Emergencies
title_fullStr QSIRS Can Improve Accuracy of QSOFA and SIRS in Prediction of Mortality in Surgical Emergencies
title_full_unstemmed QSIRS Can Improve Accuracy of QSOFA and SIRS in Prediction of Mortality in Surgical Emergencies
title_short QSIRS Can Improve Accuracy of QSOFA and SIRS in Prediction of Mortality in Surgical Emergencies
title_sort qsirs can improve accuracy of qsofa and sirs in prediction of mortality in surgical emergencies
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354340/
https://www.ncbi.nlm.nih.gov/pubmed/34395872
http://dx.doi.org/10.1055/s-0041-1733831
work_keys_str_mv AT ndongabdourahmane qsirscanimproveaccuracyofqsofaandsirsinpredictionofmortalityinsurgicalemergencies
AT dialloadjacoumba qsirscanimproveaccuracyofqsofaandsirsinpredictionofmortalityinsurgicalemergencies
AT tendengjacquesnoel qsirscanimproveaccuracyofqsofaandsirsinpredictionofmortalityinsurgicalemergencies
AT dialloamadouibra qsirscanimproveaccuracyofqsofaandsirsinpredictionofmortalityinsurgicalemergencies
AT diaomohamedlamine qsirscanimproveaccuracyofqsofaandsirsinpredictionofmortalityinsurgicalemergencies
AT sagnasylvainassega qsirscanimproveaccuracyofqsofaandsirsinpredictionofmortalityinsurgicalemergencies
AT diopsaer qsirscanimproveaccuracyofqsofaandsirsinpredictionofmortalityinsurgicalemergencies
AT diadiagoanta qsirscanimproveaccuracyofqsofaandsirsinpredictionofmortalityinsurgicalemergencies
AT dioufdaouda qsirscanimproveaccuracyofqsofaandsirsinpredictionofmortalityinsurgicalemergencies
AT racinebayoismael qsirscanimproveaccuracyofqsofaandsirsinpredictionofmortalityinsurgicalemergencies
AT nyembphilippemanyackama qsirscanimproveaccuracyofqsofaandsirsinpredictionofmortalityinsurgicalemergencies
AT konateibrahima qsirscanimproveaccuracyofqsofaandsirsinpredictionofmortalityinsurgicalemergencies