The predictive value of variables measurable in the ambulance and the development of the Predict Sepsis screening tools: a prospective cohort study

Abstract Background Despite sepsis being a time critical condition with a high mortality, it is often not identified in a timely fashion. The aim of the current study was to create a screening tool based on bedside measurable variables predictive of sepsis among ambulance patients with infection acc...

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Main Authors: Ulrika Margareta Wallgren, Jan Sjölin, Hans Järnbert-Pettersson, Lisa Kurland
Format: Article
Language:English
Published: BMC 2020-06-01
Series:Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13049-020-00745-6
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author Ulrika Margareta Wallgren
Jan Sjölin
Hans Järnbert-Pettersson
Lisa Kurland
author_facet Ulrika Margareta Wallgren
Jan Sjölin
Hans Järnbert-Pettersson
Lisa Kurland
author_sort Ulrika Margareta Wallgren
collection DOAJ
description Abstract Background Despite sepsis being a time critical condition with a high mortality, it is often not identified in a timely fashion. The aim of the current study was to create a screening tool based on bedside measurable variables predictive of sepsis among ambulance patients with infection according to clinical judgment by ambulance personnel. Methods Prospective cohort study of 551 adult patients presenting with suspected infection, performed in the ambulance setting of Stockholm during 2017–2018. 18 variables were measured in the ambulance (8 keywords related to medical history, 6 vital signs, 4 point-of-care blood tests, in addition to age, gender, and comorbidity. Logistic regression, area under the curve (AUC) and classification trees were used to study the association with sepsis. The AUC, sensitivity, specificity, predictive values and likelihood ratios were used to evaluate the predictive ability of sepsis screening models. Results The six variables with the strongest association with sepsis were: systolic blood pressure ≤ 100 mmHg, temperature > 38.5 °C, GCS < 15, lactate > 4 mmol/L, gastrointestinal symptoms, and a history of acute altered mental status. These were combined into the Predict Sepsis screening tool 1, with a sensitivity of 0.90, specificity 0.41, AUC 0.77; 95% confidence interval [CI] 0.73–0.81, PPV 0.52, and NPV 0.86. Combining a history of acute altered mental status with GCS < 15 and excluding lactate in the Predict Sepsis screening tool 2 did not noticeably affect the AUC. In addition, the AUCs of these models did not differ noticeably when compared to a model including vital signs alone, with novel calculated cut-offs; the Predict Sepsis screening tool 3. Conclusions Systolic blood pressure ≤ 100 mmHg, temperature > 38.5 °C, GCS < 15, lactate > 4 mmol/L, gastrointestinal symptoms, and a history of acute altered mental status demonstrated the strongest association with sepsis. We present three screening tools to predict sepsis with similar sensitivity. The results indicated no noticeable increase of predictive ability by including symptom-variables and blood tests to a sepsis screening tool in the current study population. Trial registration NCT03249597.
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spelling doaj.art-8e0d1821f88240118f4dc9136423db252022-12-22T01:35:12ZengBMCScandinavian Journal of Trauma, Resuscitation and Emergency Medicine1757-72412020-06-0128111410.1186/s13049-020-00745-6The predictive value of variables measurable in the ambulance and the development of the Predict Sepsis screening tools: a prospective cohort studyUlrika Margareta Wallgren0Jan Sjölin1Hans Järnbert-Pettersson2Lisa Kurland3Karolinska Institutet, Department of Clinical Science and Education, SöderssjukhusetDepartment of Medical Sciences, Uppsala UniversityKarolinska Institutet, Department of Clinical Science and Education, SöderssjukhusetKarolinska Institutet, Department of Clinical Science and Education, SöderssjukhusetAbstract Background Despite sepsis being a time critical condition with a high mortality, it is often not identified in a timely fashion. The aim of the current study was to create a screening tool based on bedside measurable variables predictive of sepsis among ambulance patients with infection according to clinical judgment by ambulance personnel. Methods Prospective cohort study of 551 adult patients presenting with suspected infection, performed in the ambulance setting of Stockholm during 2017–2018. 18 variables were measured in the ambulance (8 keywords related to medical history, 6 vital signs, 4 point-of-care blood tests, in addition to age, gender, and comorbidity. Logistic regression, area under the curve (AUC) and classification trees were used to study the association with sepsis. The AUC, sensitivity, specificity, predictive values and likelihood ratios were used to evaluate the predictive ability of sepsis screening models. Results The six variables with the strongest association with sepsis were: systolic blood pressure ≤ 100 mmHg, temperature > 38.5 °C, GCS < 15, lactate > 4 mmol/L, gastrointestinal symptoms, and a history of acute altered mental status. These were combined into the Predict Sepsis screening tool 1, with a sensitivity of 0.90, specificity 0.41, AUC 0.77; 95% confidence interval [CI] 0.73–0.81, PPV 0.52, and NPV 0.86. Combining a history of acute altered mental status with GCS < 15 and excluding lactate in the Predict Sepsis screening tool 2 did not noticeably affect the AUC. In addition, the AUCs of these models did not differ noticeably when compared to a model including vital signs alone, with novel calculated cut-offs; the Predict Sepsis screening tool 3. Conclusions Systolic blood pressure ≤ 100 mmHg, temperature > 38.5 °C, GCS < 15, lactate > 4 mmol/L, gastrointestinal symptoms, and a history of acute altered mental status demonstrated the strongest association with sepsis. We present three screening tools to predict sepsis with similar sensitivity. The results indicated no noticeable increase of predictive ability by including symptom-variables and blood tests to a sepsis screening tool in the current study population. Trial registration NCT03249597.http://link.springer.com/article/10.1186/s13049-020-00745-6SepsisScreeningEmergency medical servicesPrehospitalEmergency care
spellingShingle Ulrika Margareta Wallgren
Jan Sjölin
Hans Järnbert-Pettersson
Lisa Kurland
The predictive value of variables measurable in the ambulance and the development of the Predict Sepsis screening tools: a prospective cohort study
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
Sepsis
Screening
Emergency medical services
Prehospital
Emergency care
title The predictive value of variables measurable in the ambulance and the development of the Predict Sepsis screening tools: a prospective cohort study
title_full The predictive value of variables measurable in the ambulance and the development of the Predict Sepsis screening tools: a prospective cohort study
title_fullStr The predictive value of variables measurable in the ambulance and the development of the Predict Sepsis screening tools: a prospective cohort study
title_full_unstemmed The predictive value of variables measurable in the ambulance and the development of the Predict Sepsis screening tools: a prospective cohort study
title_short The predictive value of variables measurable in the ambulance and the development of the Predict Sepsis screening tools: a prospective cohort study
title_sort predictive value of variables measurable in the ambulance and the development of the predict sepsis screening tools a prospective cohort study
topic Sepsis
Screening
Emergency medical services
Prehospital
Emergency care
url http://link.springer.com/article/10.1186/s13049-020-00745-6
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