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Hum B, Christophides A, Jin Z, Elias M, Taneja K, Bergese SD. The validity and applications of the analgesia nociception index: a narrative review. Front Surg 2023; 10:1234246. [PMID: 37638120 PMCID: PMC10448251 DOI: 10.3389/fsurg.2023.1234246] [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: 06/03/2023] [Accepted: 07/31/2023] [Indexed: 08/29/2023] Open
Abstract
Pain refers to the subjective, unpleasant experience that is related to illness or injury. In contrast to pain, nociception refers to the physiological neural processing of noxious stimuli, such as intra-operative surgical stimuli. One novel device, the Analgesia Nociception Index (ANI), aims to objectively measure intra-operative nociception by analyzing the heart rate variability in patients undergoing surgery. Through this method of nociceptive monitoring, the ANI device aims to provide an objective, continuous evaluation of patient comfort levels and allow anesthesiologists to better manage surgical stress and patient analgesia, perhaps with even better efficacy than current practices used to assess nociception. Additionally, ANI may have clinical application in settings outside of the operating room, such as in the intensive care unit. In this narrative review, we compiled and summarized the findings of many studies that have investigated ANI's validity and applications in different clinical settings. Currently, the literature appears mostly supportive of ANI's ability to detect nociception in both surgical and non-surgical settings. However, the ability for ANI to provide clinical benefits, such as decreased intra-operative opioid use, post-operative opioid use, and post-operative pain compared to standard practices appear controversial. Because of the wide variety of methodology, clinical settings, patient populations, and limitations in these studies, more investigation of ANI is needed before any firm conclusions can be drawn on its clinical benefits.
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Affiliation(s)
- Bill Hum
- Department of Anesthesiology, Stony Brook University Health Science Center, Stony Brook, NY, United States
| | - Alexa Christophides
- Department of Anesthesiology, Stony Brook University Health Science Center, Stony Brook, NY, United States
| | - Zhaosheng Jin
- Department of Anesthesiology, Stony Brook University Health Science Center, Stony Brook, NY, United States
| | - Murad Elias
- Department of Anesthesiology, Stony Brook University Health Science Center, Stony Brook, NY, United States
| | - Kamil Taneja
- Medical Scientist Training Program, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, United States
| | - Sergio D. Bergese
- Department of Anesthesiology, Stony Brook University Health Science Center, Stony Brook, NY, United States
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Aragón-Benedí C, Caballero-Lozada AF, Perez-Calatayud AA, Marulanda-Yanten AM, Oliver-Fornies P, Boselli E, De Jonckheere J, Bergese SD. Prospective multicenter study of heart rate variability with ANI monitor as predictor of mortality in critically ill patients with COVID-19. Sci Rep 2022; 12:21762. [PMID: 36526646 PMCID: PMC9756725 DOI: 10.1038/s41598-022-25537-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 11/30/2022] [Indexed: 12/23/2022] Open
Abstract
The purpose of this study is to demonstrate that the most critically ill patients with COVID-19 have greater autonomic nervous system dysregulation and assessing the heart rate variability, allows us to predict severity and 30-day mortality. This was a multicentre, prospective, cohort study. Patients were divided into two groups depending on the 30-day mortality. The heart rate variability and more specifically the relative parasympathetic activity (ANIm), and the SDNN (Energy), were measured. To predict severity and mortality multivariate analyses of ANIm, Energy, SOFA score, and RASS scales were conducted. 112 patients were collected, the survival group (n = 55) and the deceased group (n = 57). The ANIm value was higher (p = 0.013) and the Energy was lower in the deceased group (p = 0.001); Higher Energy was correlated with higher survival days (p = 0.009), and a limit value of 0.31 s predicted mortalities with a sensitivity of 71.9% and a specificity of 74.5%. Autonomic nervous system and heart rate variability monitoring in critically ill patients with COVID-19 allows for predicting survival days and 30-day mortality through the Energy value. Those patients with greater severity and mortality showed higher sympathetic depletion with a predominance of relative parasympathetic activity.
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Affiliation(s)
- Cristian Aragón-Benedí
- grid.411106.30000 0000 9854 2756Department of Anesthesia, Resuscitation and Pain Therapy, Miguel Servet University Hospital, Zaragoza, Spain ,grid.411171.30000 0004 0425 3881Department of Anesthesia, Resuscitation and Pain Therapy, Mostoles General University Hospital, Madrid, Spain
| | | | | | | | - Pablo Oliver-Fornies
- grid.411171.30000 0004 0425 3881Department of Anesthesia, Resuscitation and Pain Therapy, Mostoles General University Hospital, Madrid, Spain
| | - Emmanuel Boselli
- grid.418064.f0000 0004 0639 3482Department of Anesthesiology, Centre Hospitalier Pierre Oudot, Bourgoin-Jallieu, France
| | - Julien De Jonckheere
- grid.410463.40000 0004 0471 8845CIC-IT 1403, Lille University Hospital, Lille, France
| | - Sergio D. Bergese
- grid.412695.d0000 0004 0437 5731Stony Brook University Hospital, New York, USA
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Aragón-Benedí C, Oliver-Forniés P, Galluccio F, Yamak Altinpulluk E, Ergonenc T, El Sayed Allam A, Salazar C, Fajardo-Pérez M. Is the heart rate variability monitoring using the analgesia nociception index a predictor of illness severity and mortality in critically ill patients with COVID-19? A pilot study. PLoS One 2021; 16:e0249128. [PMID: 33760875 PMCID: PMC7990300 DOI: 10.1371/journal.pone.0249128] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 03/11/2021] [Indexed: 01/08/2023] Open
Abstract
Introduction The analysis of heart rate variability (HRV) has proven to be an important tool for the management of autonomous nerve system in both surgical and critically ill patients. We conducted this study to show the different spectral frequency and time domain parameters of HRV as a prospective predictor for critically ill patients, and in particular for COVID-19 patients who are on mechanical ventilation. The hypothesis is that most severely ill COVID-19 patients have a depletion of the sympathetic nervous system and a predominance of parasympathetic activity reflecting the remaining compensatory anti-inflammatory response. Materials and methods A single-center, prospective, observational pilot study which included COVID-19 patients admitted to the Surgical Intensive Care Unit was conducted. The normalized high-frequency component (HFnu), i.e. ANIm, and the standard deviation of RR intervals (SDNN), i.e. Energy, were recorded using the analgesia nociception index monitor (ANI). To estimate the severity and mortality we used the SOFA score and the date of discharge or date of death. Results A total of fourteen patients were finally included in the study. ANIm were higher in the non-survivor group (p = 0.003) and were correlated with higher IL-6 levels (p = 0.020). Energy was inversely correlated with SOFA (p = 0.039) and fewer survival days (p = 0.046). A limit value at 80 of ANIm, predicted mortalities with a sensitivity of 100% and specificity of 85.7%. In the case of Energy, a limit value of 0.41 ms predicted mortality with all predictive values of 71.4%. Conclusion A low autonomic nervous system activity, i.e. low SDNN or Energy, and a predominance of the parasympathetic system, i.e. low HFnu or ANIm, due to the sympathetic depletion in COVID-19 patients are associated with a worse prognosis, higher mortality, and higher IL-6 levels.
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Affiliation(s)
- Cristian Aragón-Benedí
- Department of Anesthesia, Resuscitation and Pain Therapy, Mostoles General University Hospital, Mostoles, Madrid, Spain
- Morphological Madrid Research Center (MoMaRC), Ultradissection Spain EchoTraining School, Madrid, Spain
- * E-mail:
| | - Pablo Oliver-Forniés
- Morphological Madrid Research Center (MoMaRC), Ultradissection Spain EchoTraining School, Madrid, Spain
- Department of Anesthesia, Resuscitation and Pain Therapy, Lozano Blesa University Clinic Hospital, Zaragoza, Aragón, Spain
| | - Felice Galluccio
- Morphological Madrid Research Center (MoMaRC), Ultradissection Spain EchoTraining School, Madrid, Spain
- Department of Clinical and Experimental Medicine, University Hospital AOU Careggi, Florence, Italy
| | - Ece Yamak Altinpulluk
- Morphological Madrid Research Center (MoMaRC), Ultradissection Spain EchoTraining School, Madrid, Spain
- Outcomes Research Department, Anesthesiology Institute, Cleveland Clinic, Cleveland, OH, United States of America
- Department of Anesthesiology and Reanimation, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey
- Anesthesiology Clinical Research Office, Ataturk University, Erzurum, Turkey
| | - Tolga Ergonenc
- Morphological Madrid Research Center (MoMaRC), Ultradissection Spain EchoTraining School, Madrid, Spain
- Department of Anesthesiology, Akyazi Pain and Palliative Care Center, Sakarya, Turkey
- Sakarya Education and Research Hospital, Sakarya, Turkey
| | - Abdallah El Sayed Allam
- Morphological Madrid Research Center (MoMaRC), Ultradissection Spain EchoTraining School, Madrid, Spain
- Department of Physical Medicine, Rheumatology and Rehabilitation, Faculty of Medicine and University Hospital, Tanta University, Tanta, Egypt
| | - Carlos Salazar
- Morphological Madrid Research Center (MoMaRC), Ultradissection Spain EchoTraining School, Madrid, Spain
- Department of Anesthesia, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Mario Fajardo-Pérez
- Department of Anesthesia, Resuscitation and Pain Therapy, Mostoles General University Hospital, Mostoles, Madrid, Spain
- Morphological Madrid Research Center (MoMaRC), Ultradissection Spain EchoTraining School, Madrid, Spain
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