Responses of Heart Rate Variability to Acute Pain After Minor Spinal Surgery

Sesay, Musa; Robin, Georges; Tauzin-Fin, P.; Sacko, Oumar; Gimbert, Édouard; Vignes, Jean‐Rodolphe; Liguoro, Dominique; Nouette‐Gaulain, Karine

doi:10.1097/ana.0000000000000102

Cited by 26 publications

(45 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Increase in the pain level leads to increases in blood pressure, heart rate, and respiratory rate. [ 10 12 13 21 ] This finding confirms the effect of catecholamine releasing and its positive impact on the quality of pain such as inotropic, chronotropic, and dromotropic effects on the heart rate and respiratory rate. Systolic blood pressure subsequently increased.…”

Section: Discussionsupporting

confidence: 65%

See 1 more Smart Citation

Effect of change in patient′s bed angles on pain after coronary angiography according to vital signals

Heravi¹,

Yaghubi²,

Joharinia³

2015

J Res Med Sci

View full text Add to dashboard Cite

Background:One of the most common and important diagnostic methods for the detection of heart diseases is coronary angiography. The aim of this study was to determine the optimum angle of the bed by using vital signals to optimize the patient's position after the angiography.Materials and Methods:This study was a randomized clinical trial (RCT) on participants after angiography who were divided into five groups. The first group was placed routinely in a supine position. In the other groups, all of the patients were placed in bed by angle 15°, 30°, 45°, and 60° upward. In each group, vital signals were measured that included blood pressure, percent of blood oxygen saturation, heart rate, respiratory rate, and temperature. All of measured data compared with the pain score has been achieved from numerical pain scale. The data were analyzed by descriptive statistics method, variance analysis, and post hoc tests in the Statistical Package for the Social Sciences (SPSS) software, version 16. Estimation of the relationship was done by MATLAB version 2011. The level of significance was considered to be 0.05.Results:In various groups, there was no significance difference in demographic variables such as gender, age, height, and weight. The mean of pain score, heart rate, systolic blood pressure, and respiratory rate changed significantly (P < 0.05) but the temperature variation, blood oxygen saturation, and diastolic blood pressure in subjects were not significant (P > 0.05). It showed linear changes between pain and systolic blood pressure, respiratory rate, and heart rate changes. A dramatic reduction was also seen in systolic blood pressure, respiratory rate, heart rate, and also pain at an angle of 45°.Conclusion:This study showed that, 45° was the best angle of the bed to optimize the patient's position after the procedure, based on his/her vital signs and pain score. Thus, in order to relive pain, this change in bed angle is advised to be planned by postangiography nurses in patients after coronary angiography.

show abstract

Section: Discussionsupporting

confidence: 65%

“…[ 9 ] In a parallel manner, activation of the sympathetic system and catecholamine release due to pain cause to increases blood pressure, heart rate, and respiratory rate, and decreases respiratory volume (with a greater impact on tidal volume) and finally myocardial infarction. [ 10 11 12 13 14 15 ]…”

Section: Introductionmentioning

confidence: 99%

Effect of change in patient′s bed angles on pain after coronary angiography according to vital signals

Heravi¹,

Yaghubi²,

Joharinia³

2015

J Res Med Sci

View full text Add to dashboard Cite

show abstract

“…On full-text review, 14 studies were excluded and 8 studies fulfilled the inclusion criteria. 9 , 10 , 13 , 38 , 40 , 55 , 66 …”

Section: Resultsmentioning

confidence: 99%

“…All the included studies used a prospective observational study design. 9 , 10 , 13 , 38 , 40 , 55 , 66 A summary of the study features is shown in Table 1 . The studies analyzed data from a total of 1002 participants undergoing noncardiac surgery.…”

Section: Resultsmentioning

confidence: 99%

Scoping review of the association between postsurgical pain and heart rate variability parameters

Balanaser

Klar

et al. 2021

PR9

View full text Add to dashboard Cite

show abstract

“…In literature, HRV analysis has been examined as one of the main ways to measure pain in different types; in Sesay et al [ 24 ], for instance, with the majority of 120 patients, it was observed that regarding acute pain after minor surgery, NRS was correlated with low-frequency (LF) band and the ratio of LF to high-frequency (HF) band but not with HF. To monitor the nociception level of patients with multiple physiological parameters, HF in a 1-minute window was calculated in Ben-Israel et al [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Pain Recognition With Electrocardiographic Features in Postoperative Patients: Method Validation Study

Naeini¹,

Subramanian²,

Calderon³

et al. 2021

J Med Internet Res

View full text Add to dashboard Cite

Background There is a strong demand for an accurate and objective means of assessing acute pain among hospitalized patients to help clinicians provide pain medications at a proper dosage and in a timely manner. Heart rate variability (HRV) comprises changes in the time intervals between consecutive heartbeats, which can be measured through acquisition and interpretation of electrocardiography (ECG) captured from bedside monitors or wearable devices. As increased sympathetic activity affects the HRV, an index of autonomic regulation of heart rate, ultra–short-term HRV analysis can provide a reliable source of information for acute pain monitoring. In this study, widely used HRV time and frequency domain measurements are used in acute pain assessments among postoperative patients. The existing approaches have only focused on stimulated pain in healthy subjects, whereas, to the best of our knowledge, there is no work in the literature building models using real pain data and on postoperative patients. Objective The objective of our study was to develop and evaluate an automatic and adaptable pain assessment algorithm based on ECG features for assessing acute pain in postoperative patients likely experiencing mild to moderate pain. Methods The study used a prospective observational design. The sample consisted of 25 patient participants aged 18 to 65 years. In part 1 of the study, a transcutaneous electrical nerve stimulation unit was employed to obtain baseline discomfort thresholds for the patients. In part 2, a multichannel biosignal acquisition device was used as patients were engaging in non-noxious activities. At all times, pain intensity was measured using patient self-reports based on the Numerical Rating Scale. A weak supervision framework was inherited for rapid training data creation. The collected labels were then transformed from 11 intensity levels to 5 intensity levels. Prediction models were developed using 5 different machine learning methods. Mean prediction accuracy was calculated using leave-one-out cross-validation. We compared the performance of these models with the results from a previously published research study. Results Five different machine learning algorithms were applied to perform a binary classification of baseline (BL) versus 4 distinct pain levels (PL1 through PL4). The highest validation accuracy using 3 time domain HRV features from a BioVid research paper for baseline versus any other pain level was achieved by support vector machine (SVM) with 62.72% (BL vs PL4) to 84.14% (BL vs PL2). Similar results were achieved for the top 8 features based on the Gini index using the SVM method, with an accuracy ranging from 63.86% (BL vs PL4) to 84.79% (BL vs PL2). Conclusions We propose a novel pain assessment method for postoperative patients using ECG signal. Weak supervision applied for labeling and feature extraction improves the robustness of the approach. Our results show the viability of using a machine learning algorithm to accurately and objectively assess acute pain among hospitalized patients. International Registered Report Identifier (IRRID) RR2-10.2196/17783

show abstract

Responses of Heart Rate Variability to Acute Pain After Minor Spinal Surgery

Abstract: This study suggests that, after MSS, values of LF>298 m and LF/HF>3.1 denote acute pain (NRS>3). These HRV parameters are significantly correlated with NRS.

Cited by 26 publications

References 51 publications

Effect of change in patient′s bed angles on pain after coronary angiography according to vital signals

Effect of change in patient′s bed angles on pain after coronary angiography according to vital signals

Scoping review of the association between postsurgical pain and heart rate variability parameters

Pain Recognition With Electrocardiographic Features in Postoperative Patients: Method Validation Study

Contact Info

Product

Resources

About