Observing Pain in Individuals with Cognitive Impairment: A Pilot Comparison Attempt across Countries and across Different Types of Cognitive Impairment
Abstract:Facial expression is a key aspect in observational scales developed to improve pain assessment in individuals with cognitive impairments. Although these scales are used internationally in individuals with different types of cognitive impairments, it is not known whether observing facial expressions of pain might differ between regions or between different types of cognitive impairments. In a pilot study, facial responses to standardized experimental pressure pain were assessed among individuals with different … Show more
“…The Facial Action Coding System [FACS; (Ekman et al, 2002)] provides a taxonomy of facial movements as physical expressions of emotions in general and specifically including pain. Based on this system, the facial expression of pain can be used as an indicator of perceived pain based on which this system is particularly useful in non-verbal populations, for example, people with (severe) dementia (Kunz et al, 2021;Lautenbacher et al, 2018). Because of the specificity using mimic is an invaluable tool to assess pain, although it only gives very rough estimates of the magnitude of the perceived pain.…”
In a healthy state, pain plays an important role in natural biofeedback loops and helps to detect and prevent potentially harmful stimuli and situations. However, pain can become chronic and as such a pathological condition, losing its informative and adaptive function. Efficient pain treatment remains a largely unmet clinical need. One promising route to improve the characterization of pain, and with that the potential for more effective pain therapies, is the integration of different data modalities through cutting edge computational methods. Using these methods, multiscale, complex, and network models of pain signaling can be created and utilized for the benefit of patients. Such models require collaborative work of experts from different research domains such as medicine, biology, physiology, psychology as well as mathematics and data science. Efficient work of collaborative teams requires developing of a common language and common level of understanding as a prerequisite. One of ways to meet this need is to provide easy to comprehend overviews of certain topics within the pain research domain. Here, we propose such an overview on the topic of pain assessment in humans for computational researchers. Quantifications related to pain are necessary for building computational models. However, as defined by the International Association of the Study of Pain (IASP), pain is a sensory and emotional experience and thus, it cannot be measured and quantified objectively. This results in a need for clear distinctions between nociception, pain and correlates of pain. Therefore, here we review methods to assess pain as a percept and nociception as a biological basis for this percept in humans, with the goal of creating a roadmap of modelling options.
“…The Facial Action Coding System [FACS; (Ekman et al, 2002)] provides a taxonomy of facial movements as physical expressions of emotions in general and specifically including pain. Based on this system, the facial expression of pain can be used as an indicator of perceived pain based on which this system is particularly useful in non-verbal populations, for example, people with (severe) dementia (Kunz et al, 2021;Lautenbacher et al, 2018). Because of the specificity using mimic is an invaluable tool to assess pain, although it only gives very rough estimates of the magnitude of the perceived pain.…”
In a healthy state, pain plays an important role in natural biofeedback loops and helps to detect and prevent potentially harmful stimuli and situations. However, pain can become chronic and as such a pathological condition, losing its informative and adaptive function. Efficient pain treatment remains a largely unmet clinical need. One promising route to improve the characterization of pain, and with that the potential for more effective pain therapies, is the integration of different data modalities through cutting edge computational methods. Using these methods, multiscale, complex, and network models of pain signaling can be created and utilized for the benefit of patients. Such models require collaborative work of experts from different research domains such as medicine, biology, physiology, psychology as well as mathematics and data science. Efficient work of collaborative teams requires developing of a common language and common level of understanding as a prerequisite. One of ways to meet this need is to provide easy to comprehend overviews of certain topics within the pain research domain. Here, we propose such an overview on the topic of pain assessment in humans for computational researchers. Quantifications related to pain are necessary for building computational models. However, as defined by the International Association of the Study of Pain (IASP), pain is a sensory and emotional experience and thus, it cannot be measured and quantified objectively. This results in a need for clear distinctions between nociception, pain and correlates of pain. Therefore, here we review methods to assess pain as a percept and nociception as a biological basis for this percept in humans, with the goal of creating a roadmap of modelling options.
“…In this Special Issue, we take an important step forward by tackling the complex topic of pain assessment in individuals with impaired cognition from several angles. The articles included in this Special Issue focus on pain outcomes and pain responses in varies types and pathologies of cognitive impairments, ranging from individuals with intellectual disabilities [ 1 , 2 , 3 ] to older adults with varying degrees of cognitive impairments [ 4 , 5 , 6 , 7 ] and more severe forms of dementia [ 8 ]. Moreover, about half of the articles have a clear clinical perspective, with investigations focused on the reliability [ 9 ] and clinical cut-off scores [ 8 ] of observational pain assessment scales as well as reflections on the pain management and pharmacological treatment of pain in younger and older individuals with cognitive impairments [ 1 , 7 ].…”
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confidence: 99%
“…Moreover, about half of the articles have a clear clinical perspective, with investigations focused on the reliability [ 9 ] and clinical cut-off scores [ 8 ] of observational pain assessment scales as well as reflections on the pain management and pharmacological treatment of pain in younger and older individuals with cognitive impairments [ 1 , 7 ]. Other articles applied controlled experimental pain stimuli to compare pain sensitivity between different pathologies of cognitive impairments [ 2 , 4 ].…”
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confidence: 99%
“…Across all articles, it becomes evident that pain is still often overlooked in individuals with cognitive impairments and that observational pain assessment tools are necessary to improve this situation in these vulnerable individuals. The articles included also show promising findings, namely that these observational pain assessment scales allow for a reliable pain assessment that is relatively consistent across different regions in Europe, across different language versions, and across different pathologies [ 3 , 4 , 8 , 9 ]. Moreover, it also becomes apparent across articles that cognitive impairment is not necessarily associated with a decrease in pain responsiveness to noxious stimuli; in contrast, several articles point to an increase in pain responses in individuals with cognitive impairments [ 2 , 4 , 5 ].…”
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confidence: 99%
“…The articles included also show promising findings, namely that these observational pain assessment scales allow for a reliable pain assessment that is relatively consistent across different regions in Europe, across different language versions, and across different pathologies [ 3 , 4 , 8 , 9 ]. Moreover, it also becomes apparent across articles that cognitive impairment is not necessarily associated with a decrease in pain responsiveness to noxious stimuli; in contrast, several articles point to an increase in pain responses in individuals with cognitive impairments [ 2 , 4 , 5 ]. Two of the articles in this special suggest that this increase in pain sensitivity—either measured via experimental or clinical pain assessment methods—seems to be associated with poor executive functioning [ 5 , 6 ].…”
Objectives:
Pain catastrophizing in the aging population has not been studied in great detail. Existing investigations have reported conflicting results on the effects of age on pain catastrophizing in relation to pain responses. This study investigated the relationship between pain catastrophizing, and its individual components (rumination, magnification, and helplessness), and the responses to standardized experimental pain stimuli in old and young, healthy adults.
Methods:
Sixty-six volunteers (32 old: 65–87, 18 females; 34 young: 20–35, 17 females) participated in the study. Pain catastrophizing including the components of rumination, magnification, and helplessness was assessed with the pain catastrophizing scale (PCS). Experimental pain was induced by applying predefined pressure stimulations to the trapezius muscle. Pain intensity and unpleasantness were assessed using numerical rating scales. Pain catastrophizing levels and pain responses were statistically compared between the two age groups.
Results:
Elderly individuals reported significantly (p = 0.028) lower scores of pain catastrophizing (Med = 5; interquartile range [IQR] = 14) than younger individuals; this difference was driven by the significantly lower components of rumination (Med = 2; IQR = 4; p = 0.017) and helplessness (Med = 2; IQR = 7; p = 0.049). A larger proportion of young (57.8%) rated pain catastrophizing at high levels, with scores above the 75th percentile (Med = 20). Additionally, elderly reported the lowest pain intensity (Med = 5; p = 0.034) and pain unpleasantness (Med = 4.5; p = 0.011) responses to the experimental pressure stimuli. In the elderly group, pain unpleasantness was positively and significantly associated with pain catastrophizing (r
s = 0.416, p = 0.021), rumination (r
s = 0.42, p = 0.019), and helplessness (r
s = 0.434, p = 0.015), respectively. No associations were found in the young group.
Conclusions:
Elderly reported lower PCSs than young adults. Rumination and helplessness were reduced in the elderly group. The elderly population showed positive correlations between catastrophizing levels and pain unpleasantness to standardized pressure pain stimuli. Results supported the view that elderly possess resilience over specific domains of pain catastrophizing that could counteract pain perception due to physiological decline.
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