Skip to main navigation Skip to main content

CEEM : Clinical and Experimental Emergency Medicine

OPEN ACCESS
ABOUT
BROWSE ARTICLES
FOR CONTRIBUTORS

Articles

Original Article
Critical Care

Quick Sepsis-related Organ Failure Assessment score is not sensitive enough to predict 28-day mortality in emergency department patients with sepsis: a retrospective review

Clinical and Experimental Emergency Medicine 2019;6(1):77-83.
Published online: March 28, 2019

1Department of Emergency Medicine, Seoul National University Hospital, Seoul, Korea

2Department of Emergency Medicine, Seoul National University College of Medicine, Seoul, Korea

3Department of Emergency Medicine, Seoul National University Bundang Hospital, Seongnam, Korea

4Department of Emergency Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea

Correspondence to: Gil Joon Suh Department of Emergency Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea E-mail: suhgil@snu.ac.kr
• Received: December 27, 2017   • Revised: January 23, 2018   • Accepted: January 23, 2018

Copyright © 2019 The Korean Society of Emergency Medicine

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/).

  • 14,928 Views
  • 209 Download
  • 20 Web of Science
  • 20 Crossref
  • 17 Scopus
prev next

Citations

Citations to this article as recorded by  Crossref logo
  • Performance of early warning assessment tools in predicting mortality among patients with sepsis: a systematic review and network meta-analysis
    Duo Li, Zhu Yue, Genshen Zhen
    Critical Public Health.2026;[Epub]     CrossRef
  • Assessment of the performance of early warning scores in patients with COVID-19
    Victoria Castilho Bartolomeu, Luiz Humberto Vieri Piacezzi, Karina Aparecida Lopes da Costa, Ruth Ester Assayag Batista, Cássia Regina Vancini Campanharo, Maria Carolina Barbosa Teixeira Lopes
    Revista da Escola de Enfermagem da USP.2025;[Epub]     CrossRef
  • Evaluación del desempeño de puntajes de alerta temprana en pacientes con COVID-19
    Victoria Castilho Bartolomeu, Luiz Humberto Vieri Piacezzi, Karina Aparecida Lopes da Costa, Ruth Ester Assayag Batista, Cássia Regina Vancini Campanharo, Maria Carolina Barbosa Teixeira Lopes
    Revista da Escola de Enfermagem da USP.2025;[Epub]     CrossRef
  • Avaliação do desempenho dos escores de alerta precoce em pacientes com COVID-19
    Victoria Castilho Bartolomeu, Luiz Humberto Vieri Piacezzi, Karina Aparecida Lopes da Costa, Ruth Ester Assayag Batista, Cássia Regina Vancini Campanharo, Maria Carolina Barbosa Teixeira Lopes
    Revista da Escola de Enfermagem da USP.2025;[Epub]     CrossRef
  • C-reactive Protein/Albumin Ratio as a Predictive Inflammatory Marker for Postoperative Systemic Inflammatory Response Syndrome and/or Sepsis in Polytraumatized Patients in ICU
    Ahmed S Salem, Mohamed A Zaghloul, Alfred M Boctor, Mohamed Maher Abd Elfattah, Oliver M Shehata
    Indian Journal of Critical Care Medicine.2025; 29(12): 1002.     CrossRef
  • Comparison of early warning and sepsis scores for mortality prediction in patients with suspected infection admitted to medical intensive care units
    Batuhan Başpınar, Efe Cem Erdat, Ebru Ersoy Ortaç, Arzu Topeli
    Journal of Health Sciences and Medicine.2024; 7(1): 73.     CrossRef
  • Corticosteroid sensitivity detection in sepsis patients using a personalized data mining approach: A clinical investigation
    Rahma Hellali, Zaineb Chelly Dagdia, Ahmed Ktaish, Karine Zeitouni, Djillali Annane
    Computer Methods and Programs in Biomedicine.2024; 245: 108017.     CrossRef
  • Navigating the Complexity of Scoring Systems in Sepsis Management: A Comprehensive Review
    Venkat Reddy, Harshitha Reddy, Rinkle Gemnani, Sunil Kumar, Sourya Acharya
    Cureus.2024;[Epub]     CrossRef
  • Performance of point‐of‐care severity scores to predict prognosis in patients admitted through the emergency department with COVID‐19
    Priya A. Prasad, Jessica Correia, Margaret C. Fang, Arielle Fisher, Mick Correll, Sandra Oreper, Andrew Auerbach
    Journal of Hospital Medicine.2023; 18(5): 413.     CrossRef
  • End-to-End Sepsis Solution Incorporating Expert Telemedicine Consultation
    David F. Gaieski, Brendan Carr, Melanie Toolan, Kim Ciotti, Amy Kidane, Joseph Christina, Rajesh Aggarwal
    Telemedicine and e-Health.2023; 29(11): 1679.     CrossRef
  • SIRS, SOFA, qSOFA, and NEWS in the diagnosis of sepsis and prediction of adverse outcomes: a systematic review and meta-analysis
    Xia Qiu, Yu-Peng Lei, Rui-Xi Zhou
    Expert Review of Anti-infective Therapy.2023; 21(8): 891.     CrossRef
  • Using qSOFA and SIRS scores in predicting the outcomes of patients with sepsis in Emergency Department of Menoufia University Hospitals
    Athar Fekry Lasheen, Tarek Mohey Rageh, Mahmoud Magdy Al-Abassy, Ahmed Ragab Abdo Selima
    The Egyptian Journal of Surgery.2023; 42(3): 801.     CrossRef
  • A comparison of qSOFA, SIRS and NEWS in predicting the accuracy of mortality in patients with suspected sepsis: A meta-analysis
    Can Wang, Rufu Xu, Yuerong Zeng, Yu Zhao, Xuelian Hu, Ali Rostami
    PLOS ONE.2022; 17(4): e0266755.     CrossRef
  • A quick Sequential Organ Failure Assessment–negative result at triage is associated with low compliance with sepsis bundles: a retrospective analysis of a multicenter prospective registry
    Heesu Park, Tae Gun Shin, Won Young Kim, You Hwan Jo, Yoon Jung Hwang, Sung-Hyuk Choi, Tae Ho Lim, Kap Su Han, Jonghwan Shin, Gil Joon Suh, Gu Hyun Kang, Kyung Su Kim
    Clinical and Experimental Emergency Medicine.2022; 9(2): 84.     CrossRef
  • Serum total carbon dioxide as a prognostic factor for 28-day mortality in patients with sepsis
    Jin Hee Kim, Dong-Hyun Jang, You Hwan Jo, Gil Joon Suh, Woon Yong Kwon, Jae Hyuk Lee, Jonghwan Shin, Inwon Park, Che Uk Lee, Sang-Min Lee
    The American Journal of Emergency Medicine.2021; 44: 277.     CrossRef
  • Identifying the Sickest During Triage: Using Point‐of‐Care Severity Scores to Predict Prognosis in Emergency Department Patients With Suspected Sepsis
    Priya A Prasad, Margaret C Fang, Sandra P Martinez, Kathleen D Liu, Kirsten N Kangelaris
    Journal of Hospital Medicine.2021; 16(8): 453.     CrossRef
  • Thrombo-inflammatory prognostic score improves qSOFA for risk stratification in patients with sepsis: a retrospective cohort study
    Dongze Li, Yisong Cheng, Jing Yu, Yu Jia, Bofu Liu, Yiqin Xia, Qin Zhang, Yanmei Liu, Yan Ma, Rong Yao, Zhi Zeng, Yu Cao, Shuyun Xu
    Clinical Chemistry and Laboratory Medicine (CCLM).2020; 58(4): 625.     CrossRef
  • Accuracy of the qSOFA Score and RED Sign in Predicting Critical Care Requirements in Patients with Suspected Infection in the Emergency Department: A Retrospective Observational Study
    Jong Eun Park, Sung Yeon Hwang, Ik Joon Jo, Min Seob Sim, Won Chul Cha, Hee Yoon, Tae Rim Kim, Gun Tak Lee, Hye Seung Kim, InSuk Sohn, Tae Gun Shin
    Medicina.2020; 56(1): 42.     CrossRef
  • The sensitivity of qSOFA calculated at triage and during emergency department treatment to rapidly identify sepsis patients
    Sarah M. Perman, Mark E. Mikkelsen, Munish Goyal, Adit Ginde, Abhishek Bhardwaj, Byron Drumheller, S. Cham Sante, Anish K. Agarwal, David F. Gaieski
    Scientific Reports.2020;[Epub]     CrossRef
  • Effect of propofol, midazolam and dexmedetomidine on ICU patients with sepsis and on arterial blood gas
    Jia Ding, Yuwen Chen, Yuan Gao
    Experimental and Therapeutic Medicine.2019;[Epub]     CrossRef

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:

Include:

Quick Sepsis-related Organ Failure Assessment score is not sensitive enough to predict 28-day mortality in emergency department patients with sepsis: a retrospective review
Clin Exp Emerg Med. 2019;6(1):77-83.   Published online March 28, 2019
Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:
Include:
Quick Sepsis-related Organ Failure Assessment score is not sensitive enough to predict 28-day mortality in emergency department patients with sepsis: a retrospective review
Clin Exp Emerg Med. 2019;6(1):77-83.   Published online March 28, 2019
Close

Figure

  • 0
  • 1
Quick Sepsis-related Organ Failure Assessment score is not sensitive enough to predict 28-day mortality in emergency department patients with sepsis: a retrospective review
Image Image
Fig. 1. Stacked bar graph demonstrating the prevalence of 28-day mortality. (A) Stratified by the systemic inflammatory response syndrome (SIRS) criteria. (B) Stratified by the quick Sepsis-related Organ Failure Assessment (qSOFA) score. (C) Stratified by the Sequential Organ Failure Assessment (SOFA) score. The numbers on the top of the bar represent the patient numbers.
Fig. 2. (A) The receiver operating characteristics curve used to predict 28-day mortality in all patients. (B) The receiver operating characteristics curve used to predict 28-day mortality in patients with initial lactate results. AUROC, area under the receiver operating characteristics; CI, confidence interval; SIRS, systemic inflammatory response syndrome; qSOFA, quick Sepsis-related Organ Failure Assessment; SOFA, Sequential Organ Failure Assessment.
Quick Sepsis-related Organ Failure Assessment score is not sensitive enough to predict 28-day mortality in emergency department patients with sepsis: a retrospective review
Characteristics All patients (n = 928) Alive at 28-day (n = 697) Died at 28-day (n = 231) P-value
Age (yr) 70.1 (69.3–71.0) 69.2 (68.2–70.2) 72.9 (71.3–74.5) 0.001
Sex (male) 552 (59.5) 402 (57.7) 150 (64.9) 0.051
Underlying diseases
 Hypertension 389 (41.9) 291 (41.8) 98 (42.4) 0.857
 Diabetes 289 (31.1) 220 (31.6) 69 (29.9) 0.630
 Chronic liver disease 97 (10.5) 70 (10.0) 27 (11.7) 0.479
Initial vital signs
 Systolic BP (mmHg) 100.3 (98.5–102.1) 101.1 (99.1–103.2) 97.9 (94.3–101.6) 0.045
 Diastolic BP (mmHg) 58.9 (57.9–60.0) 59.4 (58.2–60.5) 57.6 (55.5–59.7) 0.085
 Heart rate (min) 108.1 (106.5–109.7) 107.1 (105.3–109.0) 111.1 (107.8–114.3) 0.032
 Respiration rate (min) 22.5 (22.1–23.0) 22.0 (21.5–22.5) 24.1 (23.2–25.0) < 0.001
 Body temperature (°C) 37.4 (37.3–37.5) 37.5 (37.4–37.7) 37.0 (36.9–37.2) < 0.001
 GCS 12.2 (11.9–12.4) 12.6 (12.3–12.9) 11.0 (10.5–11.5) < 0.001
Site of infection
 Respiratory 404 (43.5) 271 (38.9) 133 (57.6) < 0.001
 Hepatobiliary 186 (20.0) 152 (21.8) 34 (14.7)
 Genitourinary 173 (18.6) 148 (21.2) 25 (10.8)
 Gastrointestinal 67 (7.2) 52 (7.5) 15 (6.5)
 Others 98 (10.6) 74 (10.6) 24 (10.4)
Old sepsis category
 Severe sepsis 386 (41.6) 321 (46.1) 65 (28.1) < 0.001
 Septic shock 542 (58.4) 376 (54.0) 166 (71.9)
SIRS ≥ 2
 No 225 (24.3) 185 (26.5) 40 (17.3) 0.005
 Yes 703 (75.8) 512 (73.5) 191 (82.7)
qSOFA ≥ 2
 No 493 (53.1) 405 (58.1) 88 (38.1) < 0.001
 Yes 435 (46.9) 292 (41.9) 143 (61.9)
SOFA ≥ 2
 No 31 (3.3) 29 (4.2) 2 (0.9) 0.016
 Yes 897 (96.7) 668 (95.8) 229 (99.1)
SOFA score 7.5 (7.3–7.7) 6.9 (6.6–7.1) 9.4 (8.9–9.9) < 0.001
 Cardiovascular 2.2 (2.1–2.3) 2.1 (2.0–2.2) 2.4 (2.2–2.7) 0.010
 Respiratory 1.6 (1.5–1.6) 1.4 (1.3–1.5) 2.0 (1.9–2.2) < 0.001
 Kidney 0.9 (0.9–1.0) 0.9 (0.7–0.9) 1.2 (1.1–1.4) < 0.001
 Liver 0.6 (0.5–0.8) 0.6 (0.5–0.7) 0.6 (0.5–0.8) 0.447
 Nervous 1.4 (1.3–1.5) 1.2 (1.1–1.3) 2.0 (1.8–2.2) < 0.001
 Coagulation 0.8 (0.7–0.9) 0.7 (0.6–0.8) 1.1 (0.9–1.2) < 0.001
Lactate (mmol/L)a) 3.7 (3.4–3.9) 3.0 (2.8–3.2) 5.4 (4.8–6.0) < 0.001
Lactate ≥ 2 mmol/La)
 No 239 (36.4) 195 (41.2) 44 (23.9) < 0.001
 Yes 418 (63.6) 278 (58.8) 140 (76.1)
APACHE II score 24.8 (24.2–25.5) 22.7 (22.0–23.3) 31.4 (30.0–32.8) < 0.001
Organ supportive management
 MV 252 (27.2) 153 (22.0) 99 (42.9) < 0.001
 RRT 82 (8.8) 32 (4.6) 50 (21.7) < 0.001
Scores Sensitivity Specificity PPV NPV AUROC
SIRS ≥ 2 82.7 (77.2–87.3) 26.5 (23.3–30.0) 27.2 (23.9–30.6) 82.2 (76.6–87.0) 0.55 (0.52–0.58)
qSOFA ≥ 2 61.9 (55.3–68.2) 58.1 (54.3–61.8) 32.9 (28.5–37.5) 82.2 (78.5–85.4) 0.60 (0.56–0.64)
SOFA ≥ 2 99.1 (96.9–99.9) 4.2 (2.8–5.9) 25.5 (22.7–28.5) 93.5 (78.6–99.2) 0.52 (0.51–0.53)
Lactate ≥ 2 mmol/La) 76.1 (69.3–82.1) 41.2 (36.8–45.8) 33.5 (29.0–38.2) 81.6 (76.1–86.3) 0.59 (0.55–0.63)
SIRS ≥ 2 or lactate ≥ 2 mmol/La) 95.7 (91.6–98.1) 12.1 (9.3–15.3) 29.7 (26.1–33.6) 87.7 (77.2–94.5) 0.54 (0.52–0.56)
qSOFA ≥ 2 or lactate ≥ 2 mmol/La) 90.9 (86.1–94.4) 20.2 (16.9–23.9) 30.7 (27.1–34.5) 85.0 (77.6–90.7) 0.56 (0.53–0.58)
Table 1. Patients’ characteristics

Values are presented as mean (95% confidence intervals) or frequency (%). Categorical variables were compared using the chi-square test and continuous variables were compared using the Wilcoxon rank-sum test.

BP, blood pressure; GCS, Glasgow Coma Scale; SIRS, systemic inflammatory response syndrome; qSOFA, quick Sepsis-related Organ Failure Assessment; SOFA, Sequential Organ Failure Assessment; APACHE II, Acute Physiology and Chronic Health Evaluation II; MV, mechanical ventilation; RRT, renal replacement therapy.

Only 657 cases with available lactate results were analyzed.

Table 2. Diagnostic performance of SIRS, qSOFA score, SOFA score, and lactate for 28-day mortality (n=928)

Values are presented as percentages with 95% confidence intervals.

SIRS, systemic inflammatory response syndrome; qSOFA, quick Sepsis-related Organ Failure Assessment; SOFA, Sequential Organ Failure Assessment; PPV, positive predictive value; NPV, negative predictive value; AUROC, area under the receiver operating characteristics.

Only 657 cases with available lactate results were analyzed.