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Article

The Predictive Value of Clinical Signs to Identify Shock in Critically Ill Patients

1
Department of Anesthesiology and Critical Care Medicine, Kepler University Hospital GmbH, Johannes Kepler University Linz, Krankenhausstrasse 9, 4020 Linz and Altenberger Strasse 69, 4040 Linz, Austria
2
Medical Faculty, Johannes Kepler University Linz, Altenberger Strasse 69, 4040 Linz, Austria
*
Author to whom correspondence should be addressed.
Diagnostics 2025, 15(17), 2252; https://doi.org/10.3390/diagnostics15172252
Submission received: 22 July 2025 / Revised: 20 August 2025 / Accepted: 2 September 2025 / Published: 5 September 2025
(This article belongs to the Special Issue Diagnostics in the Emergency and Critical Care Medicine)

Abstract

Background/Objectives: Current guidelines recommend the use of clinical signs to diagnose shock and cellular hypoperfusion in critically ill patients. However, these recommendations are based on limited scientific evidence. The objective was to determine the predictive value of clinical signs to identify shock. Methods: Retrospective cohort study including adult (≥18 years) patients admitted to the critical care resuscitation unit of a tertiary hospital. The primary goal was to determine the predictive value of tachycardia, prolonged capillary refill time (CRT), skin mottling, weak radial pulse, inadequate peripheral perfusion, shock index >0.8, altered mental state, and diaphoresis to identify shock. Two-by-two contingency tables were used for statistical analysis. Results: Three-hundred-seventeen patients (no shock, n = 231; shock, n = 86) were included. As a single clinical sign, skin mottling [sensitivity, 0.38; specificity, 0.92; negative likelihood ratio (LR−), 0.68; positive likelihood ratio (LR+), 4.62], prolonged CRT (sensitivity, 0.44; specificity, 0.89; LR−, 0.62; LR+, 4.17), shock index >0.8 [sensitivity, 0.77; specificity, 0.64; LR−, 0.36; LR+, 2.15], a weak radial pulse [sensitivity, 0.62; specificity, 0.79; LR−, 0.49; LR+, 2.88], and inadequate peripheral perfusion [sensitivity, 0.68; specificity, 0.73; LR−, 0.44; LR+, 2.52] predicted shock. Prolonged CRT, skin mottling, inadequate peripheral perfusion, a weak radial pulse, and a shock index >0.8 predicted shock states with low cardiac output. A shock index >0.8, tachycardia, and a weak radial pulse were predictive of distributive/vasodilatory shock. The accuracy to identify shock were higher if ≥2 clinical signs were present compared to only one. Conclusions: Skin mottling, prolonged CRT, shock index >0.8, weak radial pulse, and inadequate peripheral perfusion can identify patients with shock, particularly shock states with low cardiac output, with high specificity and LR+.
Keywords: lactate; radial pulse; capillary refill time; peripheral perfusion; skin mottling; shock index; clinical signs; shock lactate; radial pulse; capillary refill time; peripheral perfusion; skin mottling; shock index; clinical signs; shock

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MDPI and ACS Style

Noitz, M.; Preining, S.; Jenny, D.; Langthaler, S.; Erblich, R.; Tschoellitsch, T.; Meier, J.; Dünser, M.W. The Predictive Value of Clinical Signs to Identify Shock in Critically Ill Patients. Diagnostics 2025, 15, 2252. https://doi.org/10.3390/diagnostics15172252

AMA Style

Noitz M, Preining S, Jenny D, Langthaler S, Erblich R, Tschoellitsch T, Meier J, Dünser MW. The Predictive Value of Clinical Signs to Identify Shock in Critically Ill Patients. Diagnostics. 2025; 15(17):2252. https://doi.org/10.3390/diagnostics15172252

Chicago/Turabian Style

Noitz, Matthias, Sabine Preining, Dominik Jenny, Simon Langthaler, Romana Erblich, Thomas Tschoellitsch, Jens Meier, and Martin W. Dünser. 2025. "The Predictive Value of Clinical Signs to Identify Shock in Critically Ill Patients" Diagnostics 15, no. 17: 2252. https://doi.org/10.3390/diagnostics15172252

APA Style

Noitz, M., Preining, S., Jenny, D., Langthaler, S., Erblich, R., Tschoellitsch, T., Meier, J., & Dünser, M. W. (2025). The Predictive Value of Clinical Signs to Identify Shock in Critically Ill Patients. Diagnostics, 15(17), 2252. https://doi.org/10.3390/diagnostics15172252

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