Development of pain in older adults: a latent class analysis of biopsychosocial risk factors

Evolving Concepts of Pain Management in Elderly Patients

PURPOSE OF REVIEW

The elderly population typically suffer from a variety of diseases that mostly reflect the degenerative changes linked with the aging process. These diseases may be exacerbated by acute pain or by an abrupt aggravation of previously stable chronic pain.

RECENT FINDINGS

Physical and psychological changes associated with aging may influence one's experience of pain and, as a result, the severity of pain. Pain treatment in the elderly can be complex and is often a budgetary burden on the nation's health care system. These difficulties arise, in part, because of unanticipated pharmacodynamics, changed pharmacokinetics, and polypharmacy interactions. Therefore, it is critical to integrate a multidisciplinary team to develop a management strategy that incorporates medical, psychological, and surgical methods to control persistent pain conditions. It is in this critical process that pain prediction models can be of great use. The purpose of pain prediction models for the elderly is the use of mathematical models to predict the occurrence and intensity of pain and pain-related conditions. These mathematical models employ a vast quantity of data to ascertain the many risk factors for the development of pain problems in the elderly, whether said risks are adjustable or not. These models will pave the way for more informed medical decision making that are based on the findings of thousands of patients who have previously experienced the same illness and related pain conditions. However, future additional research needs to be undertaken to build prediction models that are not constrained by substantial legal or methodological limitations.

Sociodemographic disparities and potential biases in persistent pain estimates: Findings from 5 waves of the Irish Longitudinal Study on Ageing (TILDA)

BACKGROUND

Pain is a prevalent, debilitating condition among older adults. Much evidence on this topic comes from cohort studies, which may be affected by attrition and measurement bias. Little is known about the impact of these biases on pain estimates for European older adults. Additionally, there is a lack of longitudinal research on pain and sociodemographic disparities in Irish older adults.

METHODS

We analysed data from 8171 participants (aged ≥50 at baseline) across five waves of the Irish Longitudinal Study on Ageing. Longitudinal pain severity and sociodemographic disparities in pain were explored visually and using a latent growth curve model. Using multivariate logistic regression, we examined bias due to attrition at later waves associated with reported pain at Wave 1. Measurement biases due to reporting heterogeneity were assessed by investigating associations between sociodemographic factors and pain-related disability for given pain levels.

RESULTS

Wave 1 severe pain was associated with increased odds of attrition due to death by Wave 5 (AOR: 1.63, 95% CI: 1.20, 2.19). Not having private health insurance was associated with increased odds of pain-related disability at Wave 1, controlling for pain severity (AOR: 1.37, 95% CI: 1.15, 1.64). These results suggested mortality bias and reporting heterogeneity measurement bias, respectively. Sex, education level, and private health insurance status disparities in pain were observed longitudinally.

CONCLUSIONS

Mortality bias and reporting heterogeneity measurement bias must be accounted for to improve older adult pain estimates. There is a need for policymakers to address sociodemographic disparities in older adult pain levels.

SIGNIFICANCE

This study highlights a need to address bias in the estimation of pain in observational studies of older adults. Understanding the sources and extent of these biases is important so that health practices and policies to address pain disparities can be guided by accurate estimates. Women, those with lower educational attainment, and those without private health insurance were found to have the highest pain burden longitudinally, suggesting a need for targeted interventions for these groups in Ireland and internationally.

Socioeconomic Characteristics Associated With the Development of Chronic Pain After Pain Interference Experienced in Early Adulthood

OBJECTIVE

Predictors of pain persistence have been identified among patients undergoing treatment for chronic pain or related conditions, but correlates of pain persistence in the general population remain underexplored. We identify socioeconomic variables associated with pain onset or persistence over a 6 to 10 year period in a nationally representative cohort.

METHODS

Using panel data from the National Longitudinal Survey of Youth-1997, we examined the presence of pain interference at age 29 and chronic pain at ages 35 to 39. Persistent pain was defined as pain present at both interview time points; new-onset pain was defined as pain not reported at age 29, but present at ages 35 to 39; and transient pain was defined as experiencing pain interference at age 29 with no report of chronic pain at ages 35 to 39.

RESULTS

Based on a sample of 6188 participants, we estimated that 4% experienced persistent pain, 11% experienced transient pain, and 7% experienced new-onset pain. Pain persistence was less likely among non-Hispanic Black respondents but more likely among formerly married respondents and those with poor health, health-related work limitation, or greater pain interference at the age 29 baseline. New-onset pain was most likely among female respondents, respondents with some college education, and respondents with poor self-rated health or obesity at baseline.

DISCUSSION

Development of chronic pain by the mid-late 30s was common among young adults experiencing pain interference at age 29. Race/ethnicity, gender, and educational attainment exhibited different associations with persistence as compared with new onset of pain problems.

A standardized anesthetic/analgetic regimen compared to standard anesthetic/analgetic regimen for patients with high-risk factors undergoing open lumbar spine surgery: a prospective comparative single-center study

The objective of the study is to improve the results of patients undergoing lumbar spine surgery who are at high risk for anesthesia and/or surgical complications. Two independent groups were compared: the study group (SG, n = 40) (standardized neuroanesthetic protocol with multimodal analgesia) and the control group (CG, n = 40) (intravenous anesthesia based on propofol and fentanyl). The data were collected using prospective observation of early and long-term results of lumbar fusion. After 24 months, the level of functional state and quality of life were studied. Patients in the SG did not have statistically significant changes in intraoperative hemodynamics; the best indicators of cognitive functions were noted. The effectiveness of the SG compared with the CG was confirmed by a statistically significantly lower amount of perioperative opioid drugs required (p = 0.01) and a minimal level of incisional pain (p < 0.05). An intergroup comparison of the adverse effects of anesthesia revealed a significantly lower number in the SG (n = 4) compared to the CG (n = 16) (p = 0.004). The number of postoperative surgical complications was comparable (p = 0.72). Intergroup comparison showed improved ODI, SF-36, and the Macnab scale at 24 months after surgery in the SG compared to the CG (p < 0.05). Long-term clinical results correlated with the level of incisional pain in the first three postoperative days. Our standardized neuroanesthetic protocol ensured effective treatment of postoperative incisional pain, significantly decreased the perioperative use of opioids, reduced adverse anesthesia events, and improved long-term clinical results in patients with high risk factors for anesthetic complications who undergoing open lumbar spine surgery.

Classification of older adults who underwent lumbar-related surgery using pre-operative biopsychosocial predictors and relationships with surgical recovery: An observational study conducted in the United States

Lumbar surgery is a commonly prescribed intervention for low back pain but poses higher risks and worse outcomes for older adults. Identifying clinical phenotypes based on biopsychosocial factors may help identify older adults who are at greatest risk for poor postoperative recovery. This study aimed to (a) classify older adults who underwent lumbar surgery based on preoperative biopsychosocial factors, and (b) quantify the association between preoperative biopsychosocial classifications and 3 and 12 months postoperative improvement outcomes. Latent class analysis was used to identify biopsychosocial classifications in 10,283 individuals aged ≥60 from the Quality Outcomes Database (the United States, 2021-2018). Logistic regression models measured the association between biopsychosocial classifications and 3 and 12 months postoperative outcomes (back/leg pain intensity, disability and quality of life), adjusting for covariates. Three classes were identified based on 19 a priori biopsychosocial factors and were characterised as 'high-risk' (15%), 'physical-/social health-risk' (44%) and 'low-risk' (41%). The high-risk class demonstrated increased odds of failing to recover post-operatively compared to the other classes. Similarly, the physical-/social-risk class demonstrated increased odds of failing to recover in all outcomes and time points compared to the low-risk class. Biopsychosocial factors with higher prevalence in the high versus low-risk class were depression (92.5% vs. 10.6%), multiple morbidities (55.3% vs. 25.7%) and obesity (59.5% vs. 37.2%). This study introduces novel non-recovery phenotypes for older adults undergoing lumbar surgery and may lead to the development of tailored interventions to improve clinical care and outcomes for this population.

What Are the Mechanisms of Action of Cognitive-Behavioral, Mind-Body, and Exercise-based Interventions for Pain and Disability in People With Chronic Primary Musculoskeletal Pain?: A Systematic Review of Mediation Studies From Randomized Controlled Trials

OBJECTIVES

This systematic review examined studies that used mediation analysis to investigate the mechanisms of action of cognitive-behavioral, mind-body, and exercise-based interventions for pain and disability in people with chronic primary musculoskeletal pain.

MATERIALS AND METHODS

We searched 5 electronic databases for articles that conducted mediation analyses of randomized controlled trials to either test or estimate indirect effects.

RESULTS

We found 17 studies (n=4423), including 90 mediation models examining the role of 22 putative mediators on pain or disability, of which 4 had partially mediated treatment effect; 8 had mixed results, and 10 did not mediate treatment effect. The conditions studied were chronic whiplash-associated pain, chronic low back pain, chronic knee pain, and mixed group of chronic primary musculoskeletal pain.

DISCUSSION

We observed that several of the studies included in our systematic review identified similar mechanisms of action, even between different interventions and conditions. However, methodological limitations were common. In conclusion, there are still substantial gaps with respect to understanding how cognitive-behavioral, mind-body, and exercise-based interventions work to reduce pain and disability in people with chronic primary musculoskeletal pain.

Profiles of Pain Acceptance and Values-Based Action in the Assessment and Treatment of Chronic Pain

Pain acceptance and values-based action are relevant to treatment outcomes in those with chronic pain. It is unclear if patterns of responding in these two behavioral processes can be used to classify patients into distinct classes at treatment onset and used to predict treatment response. This observational cohort study had two distinct goals. First, it sought to classify patients at assessment based on pain acceptance and values-based action (N = 1746). Second, it sought to examine treatment outcomes based on class membership in a sub-set of patients completing an interdisciplinary pain rehabilitation program of Acceptance and Commitment Therapy for chronic pain (N = 343). Latent profile analysis was used in the larger sample to identify three distinct patient classes: low acceptance and values-based (AV) action (Low AV; n = 424), moderate acceptance and values-based action (Moderate AV; n = 983) and high acceptance and values-based action (High AV; n = 339). In the smaller treated sample, participants in the Low AV and Moderate AV class demonstrated improvements across all outcome variables, whereas those in the High AV class did not. These findings support the role of pain acceptance and values-based action in those with chronic pain.

Heterogeneity in Husbands' and Wives' Physical Pain Trajectories Over Mid-Later Years: Biopsychosocial Stratification and Implications for Later-Life Well-Being

BACKGROUND AND OBJECTIVES

The present study investigated pain trajectories of husbands and wives over their mid-later years, the grouping of these trajectories, and differences in baseline biopsychosocial profiles and health and well-being outcomes in later years across the pain trajectory groups.

RESEARCH DESIGN AND METHODS

Growth mixture modeling was used to identify latent classes of 244 husbands' and wives' physical pain trajectories over their mid-later years (1994-2015, average ages of 44-65 years). Analyses were conducted to identify how these pain trajectory classes were associated with respondents' biopsychosocial profiles in 1994 and health and well-being in later years (2017 [>67 years]).

RESULTS

The individual pain trajectories of husbands and wives were clustered into 3 heterogeneous groups with differing trajectory patterns. Nonnormative pain trajectory groups (with either a high pain level and/or persistent pain) were associated with adverse baseline biopsychosocial characteristics. These groups also experienced poorer health and well-being outcomes in later years (2017) compared to those with consistently low pain after controlling for lagged measures in 2015.

DISCUSSION AND IMPLICATIONS

The identification of pain trajectory groups and characteristics of group members provides a potentially useful prognostic tool for early preventive intervention efforts, treatment, and policy formation. Such interventions can promote and develop resiliency factors, thereby aiding in the redirection of middle-aged husbands' and wives' adverse pain trajectories.

AAAPT: Assessment of the Acute Pain Trajectory

OBJECTIVE

Define and contrast acute pain trajectories vs. the aggregate pain measurements, summarize appropriate linear and nonlinear statistical analyses for pain trajectories at the patient level, and present methods to classify individual pain trajectories. Clinical applications of acute pain trajectories are also discussed.

SETTING

In 2016, an expert panel involving the Analgesic, Anesthetic, and Addiction Clinical Trial Translations, Innovations, Opportunities, and Networks (ACTTION), American Pain Society (APS), and American Academy of Pain Medicine (AAPM) established an initiative to create a pain taxonomy, named the ACTTION-APS-AAPM Pain Taxonomy (AAAPT), for the multidimensional classification of acute pain. The AAAPT panel commissioned the present report to provide further details on analysis of the individual acute pain trajectory as an important component of comprehensive pain assessment.

METHODS

Linear mixed models and nonlinear models (e.g., regression splines and polynomial models) can be applied to analyze the acute pain trajectory. Alternatively, methods for classifying individual pain trajectories (e.g., using the 50% confidence interval of the random slope approach or using latent class analyses) can be applied in the clinical context to identify different trajectories of resolving pain (e.g., rapid reduction or slow reduction) or persisting pain. Each approach has advantages and disadvantages that may guide selection. Assessment of the acute pain trajectory may guide treatment and tailoring to anticipated symptom recovery. The acute pain trajectory can also serve as a treatment outcome measure, informing further management.

CONCLUSIONS

Application of trajectory approaches to acute pain assessments enables more comprehensive measurement of acute pain, which forms the cornerstone of accurate classification and treatment of pain.

Medication and healthcare utilization variation among older adults with pain

BACKGROUND

While pain is very common in older adults, the associated impact on daily life, including usage of medication and healthcare, varies considerably and often pain remains inadequately treated. It is not clear what is associated with this variation.

METHODS

Latent class analysis (LCA) is a model-based approach to identifying underlying subgroups in a population. In this study LCA was used to examine biopsychosocial risk classes of adults aged 50 years and older, who were often troubled by pain, from The Irish Longitudinal Study on Ageing (TILDA), (n = 2,896), and the associations with future medication and healthcare use.

RESULTS

Four biopsychosocial risk classes (Low Biopsychosocial Risk, Physical Health Risk, Mental Health Risk, High Biopsychosocial Risk) were identified, with the 'High Biopsychosocial Risk' class accounting for 24% of older adults with pain. This class were much more likely to use medication and healthcare services when followed up across three waves of the TILDA study. In contrast, the Physical Health Risk and the Mental Health Risk classes reported lower usage of medication and healthcare at waves 2 and 3. Amongst the higher risk classes of older adults who are troubled by pain, there is considerable consumption of medication and healthcare services evident.

CONCLUSION

Given our ageing population and significant number of adults in this high risk class, there is a need to optimize current pain management approaches among older adults. Intensive non-pharmacological approaches to pain management in older adults, tailored to individual biopsychosocial risk indicators for each individual class, may be worth exploring.

SIGNIFICANCE

While pain is very common in older adults, the usage of medication and healthcare varies considerably and often pain remains inadequately treated. Given our ageing population and the significant number of older adults reporting high biopsychosocial risk (24%), there is a need to optimize current pain management approaches. Intensive non-pharmacological approaches to pain management in older adults, tailored to individual biopsychosocial risk indicators for each individual class, may be worth exploring.

Association of STarT Back Tool and the short form of the Örebro Musculoskeletal Pain Screening Questionnaire with multidimensional risk factors

The Short form of the Örebro Musculoskeletal Pain Screening Questionnaire (ÖMPSQ-short) and the STarT Back Tool (SBT) have been developed to screen for risk factors for future low back pain (LBP) -related disability and work loss respectively. The aim of this study was to investigate the accordance of the two questionnaires and to evaluate the accumulation of risk factors in the risk groups of both screening tools in a large population-based sample. The study population consisted of 3079 participants of the Northern Finland Birth Cohort 1966 who had reported LBP over the previous 12 months and had SBT and ÖMPSQ-short data. We evaluated the association of depressive and anxiety symptoms (Hopkins symptom check list-25, Generalized anxiety disorder 7 questionnaire, and Beck’s Depression Inventory 21), psychological features (Fear-Avoidance Beliefs Questionnaire), lifestyle characteristics (BMI, smoking, alcohol abuse, physical inactivity) and social factors (education level) with the SBT and ÖMPSQ-short risk groups. The high-risk groups of both questionnaires were associated (p < 0.001) with depressive and anxiety symptoms and fear-avoidance beliefs. In addition, adverse lifestyle factors accumulated in the higher risk groups, especially from the ÖMPSQ-short. Agreement between the two questionnaires was moderate for men and fair for women.

The change of pain classes over time: a latent transition analysis

BACKGROUND

Pain is common in older adults, and associated with increased morbidity and reduced quality of life. Recent research has highlighted different classes of older adults with pain, each with differing impacts on their life. It has not yet been investigated if, and how, such classes change over time and what influences individuals to prospectively transition to a profile of either improved or worsened pain impact.

METHODS

Latent transition analysis (LTA) is a longitudinal model-based approach to identifying underlying subgroups in a population. LTA was used to model the change in pain of people aged 50 and above, from The Irish Longitudinal Study on Ageing, across three waves (n = 5,925). The LTA model was extended to include biopsychosocial covariates to predict transition probabilities between classes over time.

RESULTS

Three latent classes were identified based on three pain indicators (pain presence; pain affects daily life; pain requires medication) and were characterized as "No Pain", "Low-Moderate Impact Pain" and "High Impact Pain". Results indicate that the pain class of many changes over time. However, poor physical or mental health increased the risk of transitioning to a more severe pain class, from Wave 1 to Wave 2 and Wave 2 to Wave 3.

CONCLUSIONS

These findings show the change in pain of older adults over time, with both marked improvement and deterioration being observed. Critically, the predictors of individuals transitioning between classes reflect the breadth of biopsychosocial factors involved in pain.

SIGNIFICANT STATEMENT

This article identified differing classes of pain in older adults, using latent transition analysis. The analysis demonstrated how the pain classes of older adults are broadly consistent over time, however both improvement and deterioration in pain impact were observed. Transitions between classes were associated with several biopsychosocial factors. These results have important implications for the health and quality of life of older adults. Consideration of health, lifestyle and socio-demographic factors may enhance assessment and management of pain in older adults.