Literature DB >> 28970658

Pain Measurement in Mechanically Ventilated Patients with Traumatic Brain Injury: Behavioral Pain Tools Versus Analgesia Nociception Index.

Ali Jendoubi1, Ahmed Abbes1, Salma Ghedira1, Mohamed Houissa1.   

Abstract

INTRODUCTION: Pain is highly prevalent in critically ill trauma patients, especially those with a traumatic brain injury (TBI). Behavioral pain tools such as the behavioral pain scale (BPS) and critical-care pain observation tool are recommended for sedated noncommunicative patients. Analysis of heart rate variability (HRV) is a noninvasive method to evaluate autonomic nervous system activity. The analgesia nociception index (ANI) device (Physiodoloris®, MDoloris Medical Systems, Loos, France) allows noninvasive HRV analysis. The ANI assesses the relative parasympathetic tone as a surrogate for antinociception/nociception balance in sedated patients. The primary aim of our study was to evaluate the effectiveness of ANI in detecting pain in TBI patients. The secondary aim was to evaluate the impact of norepinephrine use on ANI effectiveness and to determine the correlation between ANI and BPS.
METHODS: We performed a prospective observational study in 21 deeply sedated TBI patients. Exclusion criteria were nonsinus cardiac rhythm; presence of pacemaker; atropine or isoprenaline treatment; neuromuscular blocking agents; and major cognitive impairment. Heart rate, blood pressure, and ANI were continuously recorded using the Physiodoloris® device at rest (T1), during (T2), and after the end (T3) of the painful stimulus (tracheal suctioning).
RESULTS: In total, 100 observations were scored. ANI was significantly lower at T2 (Median [min - max] 54.5 [22-100]) compared with T1 (90.5 [50-100], P < 0.0001) and T3 (82 [36-100], P < 0.0001). Similar results were found in the subgroups of patients with (65 measurements) or without (35) norepinephrine. During procedure, a negative linear relationship was observed between ANI and BPS (r2 = -0.469, P < 0.001). At the threshold of 50, the sensitivity and specificity of ANI to detect patients with BPS ≥ 5 were 73% and 62%, respectively, with a negative predictive value of 86%. DISCUSSION: Our results suggest that ANI is effective in detecting pain in ventilated sedated TBI patients, including those patients treated with norepinephrine.

Entities:  

Keywords:  Behavioral pain scale; Intensive Care Unit; pain assessment; traumatic brain injury

Year:  2017        PMID: 28970658      PMCID: PMC5613610          DOI: 10.4103/ijccm.IJCCM_419_16

Source DB:  PubMed          Journal:  Indian J Crit Care Med        ISSN: 0972-5229


INTRODUCTION

Pain is highly prevalent in critically ill trauma patients, especially those with a traumatic brain injury (TBI).[1] Behavioral pain tools such as the behavioral pain scale (BPS) and critical-care pain observation tool (CPOT) are recommended for sedated noncommunicative patients.[23] Analysis of heart rate variability (HRV) is a noninvasive method to evaluate autonomic nervous system activity. The analgesia nociception index (ANI) device (Physiodoloris®, MDoloris Medical Systems, Loos, France) [Figure 1a] allows noninvasive HRV analysis. The ANI assesses the relative parasympathetic tone as a surrogate for antinociception/nociception balance in sedated patients.[4] The primary aim of our study was to evaluate the effectiveness of ANI in detecting pain in TBI patients. The secondary aim was to evaluate the impact of norepinephrine use on ANI effectiveness and to determine the correlation between ANI and BPS.
Figure 1

(a) PhysioDoloris™ analgesia monitor (In this screenshot: instantaneous analgesia nociception index value = 65; mean analgesia nociception index value = 78). (b) Time points for analgesia nociception index measurements

(a) PhysioDoloris™ analgesia monitor (In this screenshot: instantaneous analgesia nociception index value = 65; mean analgesia nociception index value = 78). (b) Time points for analgesia nociception index measurements

METHODS

We performed a prospective observational study in 21 deeply sedated TBI patients. Exclusion criteria were nonsinus cardiac rhythm; presence of pacemaker; atropine or isoprenaline treatment; neuromuscular blocking agents; and major cognitive impairment. Heart rate, blood pressure, and ANI were continuously recorded using the Physiodoloris® device at rest (T1), during (T2), and after the end (T3) of the painful stimulus (tracheal suctioning) [Figure 1b].

RESULTS

In total, 100 observations were scored. Patients' characteristics were resumed in Table 1.
Table 1

Baseline demographic and clinical characteristics

Baseline demographic and clinical characteristics The mean values of the changes in BPS, CPOT, ANI, MAP, and HR at the 3 times (baseline, during painful stimulation, and at recovery time) are shown in Table 1. The mean BPS, CPOT, MAP, and HR values were significantly changed overtime, increasing during suctioning, and decreasing at recovery time (5 min after the procedure) (P < 0.05) [Table 2].
Table 2

Variables at different time points

Variables at different time points ANI was significantly lower at T2 (Median [min – max] 54.5 [22-100]) compared with T1 (90.5 [50-100], P < 0.0001) and T3 (82 [36-100], P < 0.0001) [Table 2]. Similar results were found in the subgroups of patients with (65 measurements) or without (35) norepinephrine [Table 3]. During procedure, a negative linear relationship was observed between ANI and BPS (r2 = −0.469, P < 0.001). At the threshold of 50, the sensitivity and specificity of ANI to detect patients with BPS ≥5 were 73% and 62%, respectively, with a negative predictive value of 86%.
Table 3

Variables at different time points: Impact of norepinephrine

Variables at different time points: Impact of norepinephrine

DISCUSSION

Our results suggest that ANI is effective in detecting pain in ventilated sedated TBI patients, including those patients treated with norepinephrine. To the best of our knowledge, our study is the first to evaluate the ANI device for pain assessment in deeply sedated mechanically ventilated patients with TBI. Pain assessment is an immense challenge for clinicians, especially in the context of the Intensive Care Unit (ICU), where the patient is often unable to communicate verbally; current guidelines recommend that intensivists should use some valid observable behavioral scales and physiological indicators, such as the BPS and COPT in patients with intact motor function.[5] However, these scores have some limitations, including the inter-rater variability and the lack of determination of the level of anxiety and discomfort.[6] There have been no formal validation studies of the reliability of theses scores to evaluate the behavior of pain in the TBI population. The literature review found that TBI patients were underrepresented (<17%) in studies validating the use of behavioral pain tools in critically ill adults.[17] Another criterion used to assess pain in ICU patients is vital signs. Although hemodynamic changes are easily accessible in the ICU, their validity for pain assessment is not strongly confirmed.[8] The performance of ANI was evaluated in the prediction of immediate postoperative pain after adult general anesthesia.[910] Few studies have shown the value of this device in the monitoring of pain in sedated critically ill patients.[11] Scientific evidence is not yet sufficient to conclude on the validity of the ANI in assessing pain in the context of the ICU, especially in TBI patients. In the current study, the ANI scores, when compared to baseline values, decreased approximately 40% during endotracheal suctioning and increased >50% by the recovery time. In the study by Broucqsault-Dédrie et al.,[11] ANI decreased approximately 19% during painful situations compared to baseline. The chosen painful stimulus was patient turning for washstand. It should be noted that in that study, the majority of patients included were admitted for respiratory or hemodynamic failure and they were under deep sedation. Our findings are in line with those of Broucqsault-Dédrie et al.[11] who found that ANI is effective in detecting pain in deeply sedated critically ill patients, including those patients treated with norepinephrine. In this preliminary study, no sample size calculation was performed, which may limit the precision of our estimates. Further large interventional studies are required to confirm our results and to determine the value of this device in titrating the analgesic requirements of this vulnerable group of critically ill patients.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.
  11 in total

1.  Validation of a behavioral pain scale in critically ill, sedated, and mechanically ventilated patients.

Authors:  Younès Aïssaoui; Amine Ali Zeggwagh; Aïcha Zekraoui; Khalid Abidi; Redouane Abouqal
Journal:  Anesth Analg       Date:  2005-11       Impact factor: 5.108

2.  PhysioDoloris: a monitoring device for analgesia / nociception balance evaluation using heart rate variability analysis.

Authors:  R Logier; M Jeanne; J De Jonckheere; A Dassonneville; M Delecroix; B Tavernier
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

3.  Prediction of immediate postoperative pain using the analgesia/nociception index: a prospective observational study.

Authors:  E Boselli; L Bouvet; G Bégou; R Dabouz; J Davidson; J-Y Deloste; N Rahali; A Zadam; B Allaouchiche
Journal:  Br J Anaesth       Date:  2013-12-08       Impact factor: 9.166

4.  Assessing pain in critically ill sedated patients by using a behavioral pain scale.

Authors:  J F Payen; O Bru; J L Bosson; A Lagrasta; E Novel; I Deschaux; P Lavagne; C Jacquot
Journal:  Crit Care Med       Date:  2001-12       Impact factor: 7.598

5.  Pain assessment in the nonverbal patient: position statement with clinical practice recommendations.

Authors:  Keela Herr; Patrick J Coyne; Tonya Key; Renee Manworren; Margo McCaffery; Sandra Merkel; Jane Pelosi-Kelly; Lori Wild
Journal:  Pain Manag Nurs       Date:  2006-06       Impact factor: 1.929

6.  Analgesia nociception index: evaluation as a new parameter for acute postoperative pain.

Authors:  T Ledowski; W S Tiong; C Lee; B Wong; T Fiori; N Parker
Journal:  Br J Anaesth       Date:  2013-04-23       Impact factor: 9.166

7.  Pain prevalence and pain relief in trauma patients in the Accident & Emergency department.

Authors:  Sivera A A Berben; Tineke H J M Meijs; Robert T M van Dongen; Arie B van Vugt; Lilian C M Vloet; Joke J Mintjes-de Groot; Theo van Achterberg
Journal:  Injury       Date:  2007-07-20       Impact factor: 2.586

Review 8.  Clinical practice guidelines for the management of pain, agitation, and delirium in adult patients in the intensive care unit.

Authors:  Juliana Barr; Gilles L Fraser; Kathleen Puntillo; E Wesley Ely; Céline Gélinas; Joseph F Dasta; Judy E Davidson; John W Devlin; John P Kress; Aaron M Joffe; Douglas B Coursin; Daniel L Herr; Avery Tung; Bryce R H Robinson; Dorrie K Fontaine; Michael A Ramsay; Richard R Riker; Curtis N Sessler; Brenda Pun; Yoanna Skrobik; Roman Jaeschke
Journal:  Crit Care Med       Date:  2013-01       Impact factor: 7.598

9.  The pain, agitation, and delirium practice guidelines for adult critically ill patients: a post-publication perspective.

Authors:  Yoanna Skrobik; Gerald Chanques
Journal:  Ann Intensive Care       Date:  2013-04-02       Impact factor: 6.925

10.  Measurement of Heart Rate Variability to Assess Pain in Sedated Critically Ill Patients: A Prospective Observational Study.

Authors:  Céline Broucqsault-Dédrie; Julien De Jonckheere; Mathieu Jeanne; Saad Nseir
Journal:  PLoS One       Date:  2016-01-25       Impact factor: 3.240

View more
  6 in total

Review 1.  Analgesia nociception index and high frequency variability index: promising indicators of relative parasympathetic tone.

Authors:  Keisuke Yoshida; Shinju Obara; Satoki Inoue
Journal:  J Anesth       Date:  2022-10-22       Impact factor: 2.931

Review 2.  Pain measurement techniques: spotlight on mechanically ventilated patients.

Authors:  Isabela Freire Azevedo-Santos; Josimari Melo DeSantana
Journal:  J Pain Res       Date:  2018-11-21       Impact factor: 3.133

3.  Validation of the Critical-Care Pain Observation Tool-Neuro in brain-injured adults in the intensive care unit: a prospective cohort study.

Authors:  Céline Gélinas; Mélanie Bérubé; Kathleen A Puntillo; Madalina Boitor; Melissa Richard-Lalonde; Francis Bernard; Virginie Williams; Aaron M Joffe; Craig Steiner; Rebekah Marsh; Louise Rose; Craig M Dale; Darina M Tsoller; Manon Choinière; David L Streiner
Journal:  Crit Care       Date:  2021-04-13       Impact factor: 9.097

4.  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.

Authors:  Cristian Aragón-Benedí; Pablo Oliver-Forniés; Felice Galluccio; Ece Yamak Altinpulluk; Tolga Ergonenc; Abdallah El Sayed Allam; Carlos Salazar; Mario Fajardo-Pérez
Journal:  PLoS One       Date:  2021-03-24       Impact factor: 3.240

5.  Newborn infant parasympathetic evaluation for the assessment of analgosedation adequacy in infants treated by mechanical ventilation - a multicenter pilot study.

Authors:  Wojciech Walas; Ewelina Malinowska; Zenon P Halaba; Tomasz Szczapa; Julita Latka-Grot; Magdalena Rutkowska; Agata Kubiaczyk; Monika Wrońska; Andrzej Piotrowski; Michał Skrzypek; Mickael Jean-Noel; Iwona Maroszyńska
Journal:  Arch Med Sci       Date:  2021-03-24       Impact factor: 3.318

6.  Reliability of analgesia nociception index (ANI) and surgical pleth index (SPI) during episodes of bleeding - A pilot study.

Authors:  Sindhupriya Muthukalai; Sonia Bansal; Dhritiman Chakrabarti; Gs Umamaheswara Rao
Journal:  Indian J Anaesth       Date:  2022-07-22
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.