Assessment of pain in critically ill children. Is cutaneous conductance a reliable tool?

Solana, María José; López‐Herce, Jesús; Fernández, Sarah N.; González, Rafael; Urbano, Javier; López, Jorge; Bellón, José María

doi:10.1016/j.jcrc.2015.01.008

Cited by 14 publications

(4 citation statements)

References 34 publications

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“…Similarly, PIPP‐R was not correlated either with a novel pain measure based on heart rate variability in a prospective study of 29 newborns undergoing painful procedures . In another study performed in 61 critical children, although NFSC also increased during invasive procedures, the authors concluded that SC is not more sensitive or faster than clinical scales …”

Section: Discussionmentioning

confidence: 92%

Pain assessment during eye examination for retinopathy of prematurity screening: Skin conductance versus PIPP‐R

et al. 2019

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Aim To assess changes in skin conductance during retinopathy of prematurity screening and to study the correlation between the skin conductance and a validated pain scale. Methods Prospective observational study. Fifty‐three eye examinations were performed in 32 preterm infant candidates for retinopathy of prematurity screening. Outcome measures were changes in Premature Infant Pain Profile‐Revised (PIPP‐R) scale and number of skin conductance fluctuations. Results There was a significant increase from baseline in the number of skin conductance fluctuations and PIPP‐R during the procedure. The maximum value of number of skin conductance fluctuations was 0.64 ± 0.44 peaks/sec, and the maximum value of PIPP‐R was 10.8 ± 3.3. A correlation between the skin conductance and PIPP‐R was not found at any time during the eye examination. Repeated measures correlation analyses showed only a moderate positive correlation between PIPP‐R and number of skin conductance fluctuation values. Conclusion There were significant changes in both PIPP‐R and number of skin conductance fluctuations during retinopathy of prematurity screening, reaffirming that this procedure is painful and stressful. The number of skin conductance fluctuations and PIPP‐R are not significantly correlated, which likely reflects that these parameters evaluate different but complementary aspects of neonatal pain responses.

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Section: Discussionmentioning

confidence: 92%

Pain assessment during eye examination for retinopathy of prematurity screening: Skin conductance versus PIPP‐R

et al. 2019

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“…However, they are unspecific (other non-pain stimulus, such as agitation, fear and stress, produce the same response) and are expensive. Therefore, they have not yet been applied in clinical settings [ 60 , 61 ]. Such monitors include:…”

Section: Pain Assessmentmentioning

confidence: 99%

Evaluation and Treatment of Pain in Fetuses, Neonates and Children

Mencía

Alonso²,

Pallás‐Alonso³

et al. 2022

Children

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The perception of pain is individual and differs between children and adults. The structures required to feel pain are developed at 24 weeks of gestation. However, pain assessment is complicated, especially in neonates, infants and preschool-age children. Clinical scales adapted to age are the most used methods for assessing and monitoring the degree of pain in children. They evaluate several behavioral and/or physiological parameters related to pain. Some monitors detect the physiological changes that occur in association with painful stimuli, but they do not yet have a clear clinical use. Multimodal analgesia is recommended for pain treatment with non-pharmacological and pharmacological interventions. It is necessary to establish pharmacotherapeutic protocols for analgesia adjusted to the acute or chronic, type and intensity of pain, as well as age. The most used analgesics in children are paracetamol, ibuprofen, dipyrone, opioids (morphine and fentanyl) and local anesthetics. Patient-controlled analgesia is an adequate alternative for adolescent and older children in specific situations, such as after surgery. In patients with severe or persistent pain, it is very important to consult with specific pain services.

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“…While pain is a highly subjective experience, behavioral and physiological manifestations of pain can be objectively measured. There have been efforts in developing objective pain assessment tools through analyzing changes in physiological pain indicators, such as heart rate (HR), heart rate variability (HRV), and electrodermal activity (EDA) [32,33]. In this work, we evaluate the pain monitoring system, which estimates the pain intensity using ECG signal from the BioVid dataset [34].…”

Section: Wearable Health Applicationsmentioning

confidence: 99%

Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing

Shahhosseini¹,

Yang²,

Alikhani³

et al. 2022

Preprint

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Health monitoring applications increasingly rely on machine learning techniques to learn end-user physiological and behavioral patterns in everyday settings. Considering the significant role of wearable devices in monitoring human body parameters, on-device learning can be utilized to build personalized models for behavioral and physiological patterns, and provide data privacy for users at the same time. However, resource constraints on most of these wearable devices prevents the ability to perform online learning on them. To address this issue, it is required to rethink the machine learning models from the algorithmic perspective to be suitable to run on wearable devices. Hyperdimensional computing (HDC) offers a well-suited on-device learning solution for resource-constrained devices and provides support for privacy-preserving personalization. Our HDC-based method offers flexibility, high efficiency, resilience, and performance while enabling on-device personalization and privacy protection. We evaluate the efficacy of our approach using three case studies and show that our system improves energy efficiency of training by up to 45.8× compared with the state-of-the-art Deep Neural Network (DNN) algorithms while offering a comparable accuracy.

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Assessment of pain in critically ill children. Is cutaneous conductance a reliable tool?

Cited by 14 publications

References 34 publications

Pain assessment during eye examination for retinopathy of prematurity screening: Skin conductance versus PIPP‐R

Pain assessment during eye examination for retinopathy of prematurity screening: Skin conductance versus PIPP‐R

Evaluation and Treatment of Pain in Fetuses, Neonates and Children

Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing

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