Diagnostic accuracy of point-of-care ultrasound for shock: a systematic review and meta-analysis

Abstract Background  Circulatory failure is classified into four types of shock (obstructive, cardiogenic, distributive, and hypovolemic) that must be distinguished as each requires a different treatment. Point-of-care ultrasound (POCUS) is widely used in clinical practice for acute conditions, and...

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Main Authors: Takuo Yoshida, Takuya Yoshida, Hisashi Noma, Takeshi Nomura, Akihiro Suzuki, Takahiro Mihara
Format: Article
Language:English
Published: BMC 2023-05-01
Series:Critical Care
Subjects:
Online Access:https://doi.org/10.1186/s13054-023-04495-6
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author Takuo Yoshida
Takuya Yoshida
Hisashi Noma
Takeshi Nomura
Akihiro Suzuki
Takahiro Mihara
author_facet Takuo Yoshida
Takuya Yoshida
Hisashi Noma
Takeshi Nomura
Akihiro Suzuki
Takahiro Mihara
author_sort Takuo Yoshida
collection DOAJ
description Abstract Background  Circulatory failure is classified into four types of shock (obstructive, cardiogenic, distributive, and hypovolemic) that must be distinguished as each requires a different treatment. Point-of-care ultrasound (POCUS) is widely used in clinical practice for acute conditions, and several diagnostic protocols using POCUS for shock have been developed. This study aimed to evaluate the diagnostic accuracy of POCUS in identifying the etiology of shock. Methods We conducted a systematic literature search of MEDLINE, Cochrane Central Register of Controlled Trials, Embase, Web of Science, Clinicaltrial.gov, European Union Clinical Trials Register, WHO International Clinical Trials Registry Platform, and University Hospital Medical Information Network Clinical Trials Registry (UMIN-CTR) until June 15, 2022. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and assessed study quality using the Quality Assessment of Diagnostic Accuracy Studies 2 tool. Meta-analysis was conducted to pool the diagnostic accuracy of POCUS for each type of shock. The study protocol was prospectively registered in UMIN-CTR (UMIN 000048025). Results Of the 1553 studies identified, 36 studies were full-text reviewed, and 12 studies with 1132 patients were included in the meta-analysis. Pooled sensitivity and specificity were 0.82 [95% confidence interval (CI) 0.68–0.91] and 0.98 [95% CI 0.92–0.99] for obstructive shock, 0.78 [95% CI 0.56–0.91] and 0.96 [95% CI 0.92–0.98] for cardiogenic shock, 0.90 [95% CI 0.84–0.94] and 0.92 [95% CI 0.88–0.95] for hypovolemic shock, and 0.79 [95% CI 0.71–0.85] and 0.96 [95% CI 0.91–0.98] for distributive shock, respectively. The area under the receiver operating characteristic curve for each type of shock was approximately 0.95. The positive likelihood ratios for each type of shock were all greater than 10, especially 40 [95% CI 11–105] for obstructive shock. The negative likelihood ratio for each type of shock was approximately 0.2. Conclusions  The identification of the etiology for each type of shock using POCUS was characterized by high sensitivity and positive likelihood ratios, especially for obstructive shock.
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spelling doaj.art-4f567b21e3e6417fbafa0beec3df2d612023-05-28T11:18:07ZengBMCCritical Care1364-85352023-05-0127111110.1186/s13054-023-04495-6Diagnostic accuracy of point-of-care ultrasound for shock: a systematic review and meta-analysisTakuo Yoshida0Takuya Yoshida1Hisashi Noma2Takeshi Nomura3Akihiro Suzuki4Takahiro Mihara5Department of Health Data Science, Graduate School of Data Science, Yokohama City UniversityDepartment of Health Data Science, Graduate School of Data Science, Yokohama City UniversityDepartment of Data Science, The Institute of Statistical MathematicsDepartment of Perioperative Medical Support, Tokushukai Medical CorporationDepartment of Anesthesiology and Critical Care Medicine, Jichi Medical UniversityDepartment of Health Data Science, Graduate School of Data Science, Yokohama City UniversityAbstract Background  Circulatory failure is classified into four types of shock (obstructive, cardiogenic, distributive, and hypovolemic) that must be distinguished as each requires a different treatment. Point-of-care ultrasound (POCUS) is widely used in clinical practice for acute conditions, and several diagnostic protocols using POCUS for shock have been developed. This study aimed to evaluate the diagnostic accuracy of POCUS in identifying the etiology of shock. Methods We conducted a systematic literature search of MEDLINE, Cochrane Central Register of Controlled Trials, Embase, Web of Science, Clinicaltrial.gov, European Union Clinical Trials Register, WHO International Clinical Trials Registry Platform, and University Hospital Medical Information Network Clinical Trials Registry (UMIN-CTR) until June 15, 2022. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and assessed study quality using the Quality Assessment of Diagnostic Accuracy Studies 2 tool. Meta-analysis was conducted to pool the diagnostic accuracy of POCUS for each type of shock. The study protocol was prospectively registered in UMIN-CTR (UMIN 000048025). Results Of the 1553 studies identified, 36 studies were full-text reviewed, and 12 studies with 1132 patients were included in the meta-analysis. Pooled sensitivity and specificity were 0.82 [95% confidence interval (CI) 0.68–0.91] and 0.98 [95% CI 0.92–0.99] for obstructive shock, 0.78 [95% CI 0.56–0.91] and 0.96 [95% CI 0.92–0.98] for cardiogenic shock, 0.90 [95% CI 0.84–0.94] and 0.92 [95% CI 0.88–0.95] for hypovolemic shock, and 0.79 [95% CI 0.71–0.85] and 0.96 [95% CI 0.91–0.98] for distributive shock, respectively. The area under the receiver operating characteristic curve for each type of shock was approximately 0.95. The positive likelihood ratios for each type of shock were all greater than 10, especially 40 [95% CI 11–105] for obstructive shock. The negative likelihood ratio for each type of shock was approximately 0.2. Conclusions  The identification of the etiology for each type of shock using POCUS was characterized by high sensitivity and positive likelihood ratios, especially for obstructive shock.https://doi.org/10.1186/s13054-023-04495-6Circulatory failureShockPoint-of-care ultrasoundDiagnostic accuracyObstructive shockEarly diagnosis
spellingShingle Takuo Yoshida
Takuya Yoshida
Hisashi Noma
Takeshi Nomura
Akihiro Suzuki
Takahiro Mihara
Diagnostic accuracy of point-of-care ultrasound for shock: a systematic review and meta-analysis
Critical Care
Circulatory failure
Shock
Point-of-care ultrasound
Diagnostic accuracy
Obstructive shock
Early diagnosis
title Diagnostic accuracy of point-of-care ultrasound for shock: a systematic review and meta-analysis
title_full Diagnostic accuracy of point-of-care ultrasound for shock: a systematic review and meta-analysis
title_fullStr Diagnostic accuracy of point-of-care ultrasound for shock: a systematic review and meta-analysis
title_full_unstemmed Diagnostic accuracy of point-of-care ultrasound for shock: a systematic review and meta-analysis
title_short Diagnostic accuracy of point-of-care ultrasound for shock: a systematic review and meta-analysis
title_sort diagnostic accuracy of point of care ultrasound for shock a systematic review and meta analysis
topic Circulatory failure
Shock
Point-of-care ultrasound
Diagnostic accuracy
Obstructive shock
Early diagnosis
url https://doi.org/10.1186/s13054-023-04495-6
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