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 scor...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Thieme Medical Publishers, Inc.
2021-07-01
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| Series: | The Surgery Journal |
| Subjects: | |
| Online Access: | http://www.thieme-connect.de/DOI/DOI?10.1055/s-0041-1733831 |
| _version_ | 1818606733759610880 |
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| author | Abdourahmane Ndong Adja Coumba Diallo Jacques Noel Tendeng Amadou Ibra Diallo Mohamed Lamine Diao Sylvain Assega Sagna Saer Diop Diago Anta Dia Daouda Diouf Bayo Ismael Racine Philippe Manyacka Ma Nyemb Ibrahima Konaté |
| author_facet | Abdourahmane Ndong Adja Coumba Diallo Jacques Noel Tendeng Amadou Ibra Diallo Mohamed Lamine Diao Sylvain Assega Sagna Saer Diop Diago Anta Dia Daouda Diouf Bayo Ismael Racine Philippe Manyacka Ma Nyemb Ibrahima Konaté |
| author_sort | Abdourahmane Ndong |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-16T14:15:33Z |
| format | Article |
| id | doaj.art-349182d1b6c14758a94f995e0ea5901a |
| institution | Directory Open Access Journal |
| issn | 2378-5128 2378-5136 |
| language | English |
| last_indexed | 2024-12-16T14:15:33Z |
| publishDate | 2021-07-01 |
| publisher | Thieme Medical Publishers, Inc. |
| record_format | Article |
| series | The Surgery Journal |
| spelling | doaj.art-349182d1b6c14758a94f995e0ea5901a2022-12-21T22:28:36ZengThieme Medical Publishers, Inc.The Surgery Journal2378-51282378-51362021-07-010703e199e20210.1055/s-0041-1733831QSIRS Can Improve Accuracy of QSOFA and SIRS in Prediction of Mortality in Surgical EmergenciesAbdourahmane Ndong0Adja Coumba Diallo1Jacques Noel Tendeng2Amadou Ibra Diallo3Mohamed Lamine Diao4Sylvain Assega Sagna5Saer Diop6Diago Anta Dia7Daouda Diouf8Bayo Ismael Racine9Philippe Manyacka Ma Nyemb10Ibrahima Konaté11Department of Surgery, Gaston Berger University, Saint-Louis, SenegalDepartment of Surgery, Gaston Berger University, Saint-Louis, SenegalDepartment of Surgery, Gaston Berger University, Saint-Louis, SenegalDepartment of Public Health and Preventive Medicine, Cheikh Anta Diop University, Dakar, SenegalDepartment of Surgery, Gaston Berger University, Saint-Louis, SenegalDepartment of Surgery, Gaston Berger University, Saint-Louis, SenegalDepartment of Surgery, Gaston Berger University, Saint-Louis, SenegalDepartment of Surgery, Gaston Berger University, Saint-Louis, SenegalDepartment of Surgery, Gaston Berger University, Saint-Louis, SenegalDepartment of Surgery, Gaston Berger University, Saint-Louis, SenegalDepartment of Surgery, Gaston Berger University, Saint-Louis, SenegalDepartment of Surgery, Gaston Berger University, Saint-Louis, SenegalBackground 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.http://www.thieme-connect.de/DOI/DOI?10.1055/s-0041-1733831surgeryemergencyscoreqsofasirsqsirs |
| spellingShingle | Abdourahmane Ndong Adja Coumba Diallo Jacques Noel Tendeng Amadou Ibra Diallo Mohamed Lamine Diao Sylvain Assega Sagna Saer Diop Diago Anta Dia Daouda Diouf Bayo Ismael Racine Philippe Manyacka Ma Nyemb Ibrahima Konaté QSIRS Can Improve Accuracy of QSOFA and SIRS in Prediction of Mortality in Surgical Emergencies The Surgery Journal surgery emergency score qsofa sirs qsirs |
| 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 |
| topic | surgery emergency score qsofa sirs qsirs |
| url | http://www.thieme-connect.de/DOI/DOI?10.1055/s-0041-1733831 |
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