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Gonzalez FA, Santonocito C, Maybauer MO, Lopes LR, Almeida AG, Sanfilippo F. Diastology in the intensive care unit: Challenges for the assessment and future directions. Echocardiography 2024; 41:e15773. [PMID: 38380688 DOI: 10.1111/echo.15773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 01/19/2024] [Accepted: 01/20/2024] [Indexed: 02/22/2024] Open
Abstract
Myocardial dysfunction is common in patients admitted to the intensive care unit (ICU). Septic disease frequently results in cardiac dysfunction, and sepsis represents the most common cause of admission and death in the ICU. The association between left ventricular (LV) systolic dysfunction and mortality is not clear for critically ill patients. Conversely, LV diastolic dysfunction (DD) seems increasingly recognized as a factor associated with poor outcomes, not only in sepsis but also more generally in critically ill patients. Despite recent attempts to simplify the diagnosis and grading of DD, this remains relatively complex, with the need to use several echocardiographic parameters. Furthermore, the current guidelines have several intrinsic limitations when applied to the ICU setting. In this manuscript, we discuss the challenges in DD classification when applied to critically ill patients, the importance of left atrial pressure estimates for the management of patients in ICU, and whether the study of cardiac dysfunction spectrum during critical illness may benefit from the integration of left ventricular and left atrial strain data to improve diagnostic accuracy and implications for the treatment and prognosis.
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Affiliation(s)
- Filipe A Gonzalez
- Intensive Care Department of Hospital Garcia de Orta, Almada, Portugal
- Centro Cardiovascular da Universidade de Lisboa, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Cristina Santonocito
- Department of Anesthesia and Intensive Care, "Policlinico-San Marco" University Hospital, Catania, Italy
| | - Marc O Maybauer
- Department of Anesthesiology, Division of Critical Care Medicine, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Luís Rocha Lopes
- Inherited Cardiac Disease Unit, Bart's Heart Centre St Bartholomew's Hospital London, London, UK
- Institute of Cardiovascular Science, University College London, London, UK
| | - Ana G Almeida
- Centro Cardiovascular da Universidade de Lisboa, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Filippo Sanfilippo
- Department of Anesthesia and Intensive Care, "Policlinico-San Marco" University Hospital, Catania, Italy
- Department of Surgery and Medical-Surgical Specialties, University of Catania, Catania, Italy
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Delmotte L, Desebbe O, Alexander B, Kouz K, Coeckelenbergh S, Schoettker P, Turgay T, Joosten A. Smartphone-Based versus Non-Invasive Automatic Oscillometric Brachial Cuff Blood Pressure Measurements: A Prospective Method Comparison Volunteer Study. J Pers Med 2023; 14:15. [PMID: 38276230 PMCID: PMC10817276 DOI: 10.3390/jpm14010015] [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: 10/30/2023] [Revised: 12/06/2023] [Accepted: 12/18/2023] [Indexed: 01/27/2024] Open
Abstract
Introduction: Mobile health diagnostics have demonstrated effectiveness in detecting and managing chronic diseases. This method comparison study aims to assess the accuracy and precision of the previously evaluated OptiBP™ technology over a four-week study period. This device uses optical signals recorded by placing a patient's fingertip on a smartphone's camera to estimate blood pressure (BP). Methods: In adult participants without cardiac arrhythmias and minimal interarm blood pressure difference (systolic arterial pressure (SAP) < 15 mmHg or diastolic arterial pressure (DAP) < 10 mmHg), three pairs of 30 s BP measurements with the OptiBP™ (test method) were simultaneously compared using three pairs of measurements with the non-invasive oscillometric brachial cuff (reference method) on the opposite arm over a period of four consecutive weeks at a rate of two measurements per week (one in the morning and one in the afternoon). The agreement of BP values between the two technologies was analyzed using Bland-Altman and error grid analyses. The performance of the smartphone application was investigated using the International Organization for Standardization (ISO) definitions, which require the bias ± standard deviation (SD) between two technologies to be lower than 5 ± 8 mmHg. Results: Among the 65 eligible volunteers, 53 participants had adequate OptiBP™ BP values. In 12 patients, no OptiBP™ BP could be measured due to inadequate signals. Only nine participants had known chronic arterial hypertension and 76% of those patients were treated. The mean bias ± SD between both technologies was -1.4 mmHg ± 10.1 mmHg for systolic arterial pressure (SAP), 0.2 mmHg ± 6.5 mmHg for diastolic arterial pressure (DAP) and -0.5 mmHg ± 6.9 mmHg for mean arterial pressure (MAP). Error grid analyses indicated that 100% of the pairs of BP measurements were located in zones A (no risk) and B (low risk). Conclusions: In a cohort of volunteers, we observed an acceptable agreement between BP values obtained with the OptiBPTM and those obtained with the reference method over a four-week period. The OptiBPTM fulfills the ISO standards for MAP and DAP (but not SAP). The error grid analyses showed that 100% measurements were located in risk zones A and B. Despite the need for some technological improvements, this application may become an important tool to measure BP in the future.
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Affiliation(s)
- Lila Delmotte
- Department of Anesthesiology, Erasme University Hospital, Université Libre de Bruxelles, 808 Route de Lennik, 1070 Brussels, Belgium; (L.D.); (T.T.)
| | - Olivier Desebbe
- Department of Anesthesiology & Perioperative Medicine, Sauvegarde Clinic, Ramsay Santé, 69009 Lyon, France;
| | - Brenton Alexander
- Department of Anesthesiology, University of California San Diego, La Jolla, CA 92103, USA;
| | - Karim Kouz
- Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany
| | - Sean Coeckelenbergh
- Department of Anesthesiology, Université Paris-Saclay, Paul Brousse Hospital, Assistance Publique Hôpitaux de Paris (APHP), 94800 Villejuif, France
- Outcomes Research Consortium, Cleveland, OH 44195, USA
| | - Patrick Schoettker
- Biospectal SA, 1003 Lausanne, Switzerland;
- Department of Anesthesiology, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland
| | - Tuna Turgay
- Department of Anesthesiology, Erasme University Hospital, Université Libre de Bruxelles, 808 Route de Lennik, 1070 Brussels, Belgium; (L.D.); (T.T.)
| | - Alexandre Joosten
- Department of Anesthesiology and Perioperative Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
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