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Chalifoux NV, Spielvogel CF, Stefanovski D, Silverstein DC. Standardized capillary refill time and relation to clinical parameters in hospitalized dogs. J Vet Emerg Crit Care (San Antonio) 2021; 31:585-594. [PMID: 34181819 DOI: 10.1111/vec.13088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 11/03/2019] [Accepted: 12/07/2019] [Indexed: 11/28/2022]
Abstract
OBJECTIVE To assess the relationship between various physical and clinicopathologic parameters and the capillary refill time (CRT) using a standard method; to evaluate the influence of emergency room (ER) versus ICU hospital location on CRT; and to identify latent subgroups among the CRT distribution. DESIGN Prospective, observational study. SETTING University teaching hospital. ANIMALS Client-owned dogs in the ER (n = 40) and ICU (n = 71). INTERVENTIONS The CRT was defined as the duration required for the oral mucosa of the upper lip to return to its original color after blanching for 4 seconds. The CRT was recorded in seconds to the 10ths place by a single observer using an automated recording device. MEASUREMENTS AND MAIN RESULTS Median CRT for all dogs was 1.1 seconds (ER, 1.2 s; ICU, 1.1 s; P = 1.000). The CRT was significantly associated with rectal temperature (P = 0.004), systolic blood pressure (P = 0.028), body weight (P = 0.031), mucous membrane color (P = 0.007), skin turgor (P = 0.039), and acute patient physiologic and laboratory evaluation mentation score (P = 0.019) for all dogs. The CRT was related to a greater number of variables in the ER than in the ICU patient population. In general, the total population of dogs had CRTs belonging to 1 of 2 groups: either ≤1.2 or ≥1.7 seconds. A statistically significant association was found between body weight CRT ≥1.3 seconds (P = 0.02). CONCLUSIONS A CRT following blanching for 4 seconds may provide insight into the hydration status and hemodynamic stability of canine patients. Further research into its clinical application is warranted.
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Affiliation(s)
- Nolan V Chalifoux
- Department of Clinical Sciences and Advanced Medicine, University of Pennsylvania School of Veterinary Medicine, Philadelphia, Pennsylvania, USA
| | - Carl F Spielvogel
- Department of Clinical Sciences and Advanced Medicine, University of Pennsylvania School of Veterinary Medicine, Philadelphia, Pennsylvania, USA
| | - Darko Stefanovski
- Department of Clinical Sciences and Advanced Medicine, University of Pennsylvania School of Veterinary Medicine, Philadelphia, Pennsylvania, USA
| | - Deborah C Silverstein
- Department of Clinical Sciences and Advanced Medicine, University of Pennsylvania School of Veterinary Medicine, Philadelphia, Pennsylvania, USA
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Sebat C, Vandegrift MA, Oldroyd S, Kramer A, Sebat F. Capillary refill time as part of an early warning score for rapid response team activation is an independent predictor of outcomes. Resuscitation 2020; 153:105-110. [PMID: 32504768 DOI: 10.1016/j.resuscitation.2020.05.044] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 05/13/2020] [Accepted: 05/28/2020] [Indexed: 01/08/2023]
Abstract
BACKGROUND Capillary refill time (CRT) is easy, quick to perform and when prolonged in critical illness, correlates with progression of organ failure and mortality. It is utilized in our hospital's early warning score (EWS) as one of 11 parameters. We sought to define CRT's value in predicting patient outcomes, compared to the remaining EWS elements. METHODS Five-year prospective observational study of 6480 consecutive Rapid Response Team (RRT) patients. CRT measured at the index finger was considered prolonged if time to previous-color return was >3 s. We analyzed the odds ratio of normal vs prolonged-CRT, compared to the other EWS variables, to individual and combined outcomes of mortality, cardiac arrest and higher-level of care transfer. RESULTS Twenty-percent (N = 1329) of RRT-patients had prolonged-CRT (vs normal-CRT), were twice as likely to die (36% vs 17.8%, p < .001), more likely to experience the combined outcome (72.1% vs 54.2%, p < .001) and had longer hospital length of stays, 15.3 (SD 0.3) vs 13.5 days (SD 0.5) (p < .001). Multivariable logistic regression for mortality ranked CRT second to hypoxia among all 11 variables evaluated (p < 001). CONCLUSIONS This is the first time CRT has been evaluated in RRT patients. Its measurement is easy to perform and proves useful as an assessment of adult patients at-risk for clinical decline. Its prolongation in our population was an independent predictor of mortality and the combined outcome. This study and others suggest that CRT should be considered further as a fundamental assessment of patients at-risk for clinical decline.
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Affiliation(s)
- Christian Sebat
- University of California Davis Medical Center, Sacramento, CA, United States.
| | | | - Sean Oldroyd
- Kaweah Delta Medical Center, Visalia, CA, United States.
| | - Andrew Kramer
- Prescient Healthcare Consulting, Charlottesville, VA, United States.
| | - Frank Sebat
- Mercy Medical Center, Redding, CA, United States.
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Bigé N, Lavillegrand JR, Dang J, Attias P, Deryckere S, Joffre J, Dubée V, Preda G, Dumas G, Hariri G, Pichereau C, Baudel JL, Guidet B, Maury E, Boelle PY, Ait-Oufella H. Bedside prediction of intradialytic hemodynamic instability in critically ill patients: the SOCRATE study. Ann Intensive Care 2020; 10:47. [PMID: 32323060 PMCID: PMC7176798 DOI: 10.1186/s13613-020-00663-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Accepted: 04/11/2020] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Despite improvements in intermittent hemodialysis management, intradialytic hemodynamic instability (IHI) remains a common issue that could account for increased mortality and delayed renal recovery. However, predictive factors of IHI remain poorly explored. The objective of this study was to evaluate the relationship between baseline macrohemodynamic, tissue hypoperfusion parameters and IHI occurrence. METHODS Prospective observational study conducted in a 18-bed medical ICU of a tertiary teaching hospital. Cardiovascular SOFA score, index capillary refill time (CRT) and lactate level were measured just before (T0) consecutive intermittent hemodialysis sessions performed for AKI. The occurrence of IHI requiring a therapeutic intervention was recorded. RESULTS Two hundred eleven sessions, corresponding to 72 (34%) first sessions and 139 (66%) later sessions, were included. As IHI mostly occurred during first sessions (43% vs 12%, P < 0.0001), following analyses were performed on the 72 first sessions. At T0, cardiovascular SOFA score ≥1 (87% vs 51%, P = 0.0021) was more frequent before IHI sessions, as well as index CRT ≥ 3 s (55% vs 15%, P = 0.0004), and hyperlactatemia > 2 mmol/L (68% vs 29%, P = 0.0018). Moreover, the occurrence of IHI increased with the number of macrohemodynamic and tissue perfusion impaired parameters, named SOCRATE score (cardiovascular SOFA, index CRT and lactATE): 10% (95% CI [3%, 30%]), 33% (95% CI [15%, 58%]), 55% (95% CI [35%, 73%]) and 80% (95% CI [55%, 93%]) for 0, 1, 2 and 3 parameters, respectively (AUC = 0.79 [0.69-0.89], P < 0.0001). These results were confirmed by analyzing the 139 later sessions included in the study. CONCLUSIONS The SOCRATE score based on 3 easy-to-use bedside parameters correlates with the risk of IHI. By improving risk stratification of IHI, this score could help clinicians to manage intermittent hemodialysis initiation in critically ill AKI patients.
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Affiliation(s)
- Naïke Bigé
- Service de Médecine Intensive Réanimation, AP-HP, Hôpital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, 184 rue du Faubourg Saint-Antoine, Paris, 75571 Cedex 12, France.
| | - Jean-Rémi Lavillegrand
- Service de Médecine Intensive Réanimation, AP-HP, Hôpital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, 184 rue du Faubourg Saint-Antoine, Paris, 75571 Cedex 12, France.,Sorbonne Universités, Université Pierre et Marie Curie, Paris, 75006, France
| | - Julien Dang
- Service de Médecine Intensive Réanimation, AP-HP, Hôpital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, 184 rue du Faubourg Saint-Antoine, Paris, 75571 Cedex 12, France
| | - Philippe Attias
- Service de Médecine Intensive Réanimation, AP-HP, Hôpital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, 184 rue du Faubourg Saint-Antoine, Paris, 75571 Cedex 12, France
| | - Stéphanie Deryckere
- Service de Médecine Intensive Réanimation, AP-HP, Hôpital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, 184 rue du Faubourg Saint-Antoine, Paris, 75571 Cedex 12, France
| | - Jérémie Joffre
- Service de Médecine Intensive Réanimation, AP-HP, Hôpital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, 184 rue du Faubourg Saint-Antoine, Paris, 75571 Cedex 12, France.,Sorbonne Universités, Université Pierre et Marie Curie, Paris, 75006, France
| | - Vincent Dubée
- Service de Médecine Intensive Réanimation, AP-HP, Hôpital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, 184 rue du Faubourg Saint-Antoine, Paris, 75571 Cedex 12, France.,Sorbonne Universités, Université Pierre et Marie Curie, Paris, 75006, France
| | - Gabriel Preda
- Service de Médecine Intensive Réanimation, AP-HP, Hôpital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, 184 rue du Faubourg Saint-Antoine, Paris, 75571 Cedex 12, France
| | - Guillaume Dumas
- Service de Médecine Intensive Réanimation, AP-HP, Hôpital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, 184 rue du Faubourg Saint-Antoine, Paris, 75571 Cedex 12, France.,Sorbonne Universités, Université Pierre et Marie Curie, Paris, 75006, France
| | - Geoffroy Hariri
- Service de Médecine Intensive Réanimation, AP-HP, Hôpital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, 184 rue du Faubourg Saint-Antoine, Paris, 75571 Cedex 12, France.,Sorbonne Universités, Université Pierre et Marie Curie, Paris, 75006, France
| | - Claire Pichereau
- Service de Médecine Intensive Réanimation, AP-HP, Hôpital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, 184 rue du Faubourg Saint-Antoine, Paris, 75571 Cedex 12, France.,Sorbonne Universités, Université Pierre et Marie Curie, Paris, 75006, France
| | - Jean-Luc Baudel
- Service de Médecine Intensive Réanimation, AP-HP, Hôpital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, 184 rue du Faubourg Saint-Antoine, Paris, 75571 Cedex 12, France
| | - Bertrand Guidet
- Service de Médecine Intensive Réanimation, AP-HP, Hôpital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, 184 rue du Faubourg Saint-Antoine, Paris, 75571 Cedex 12, France.,Sorbonne Universités, Université Pierre et Marie Curie, Paris, 75006, France.,Inserm U1136, Paris, France
| | - Eric Maury
- Service de Médecine Intensive Réanimation, AP-HP, Hôpital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, 184 rue du Faubourg Saint-Antoine, Paris, 75571 Cedex 12, France.,Sorbonne Universités, Université Pierre et Marie Curie, Paris, 75006, France
| | - Pierre-Yves Boelle
- Sorbonne Universités, Université Pierre et Marie Curie, Paris, 75006, France.,Inserm U1136, Paris, France
| | - Hafid Ait-Oufella
- Service de Médecine Intensive Réanimation, AP-HP, Hôpital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, 184 rue du Faubourg Saint-Antoine, Paris, 75571 Cedex 12, France.,Sorbonne Universités, Université Pierre et Marie Curie, Paris, 75006, France.,Inserm U970, Paris Research Cardiovascular Center, Paris, France
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