Trajectories of pain predict disabilities affecting daily living in arthritis

Association between osteoarthritis and cardiovascular disease in elderly in Japan: an administrative claims database analysis

OBJECTIVE

To investigate whether osteoarthritis (OA) is a risk factor for cardiovascular disease (CVD); whether there are differences concerning ischaemic heart disease (IHD), congestive heart failure (CHF) and stroke; and whether there are differences between OA sites (hips, knees and hand) in predicting CVD onset.

DESIGN

Population-based matched case-control study.

SETTING

Health insurance claims data among Japanese patients.

PARTICIPANTS

Japanese patients aged ≥65 years with newly diagnosed CVD and hospitalised between January 2015 and December 2020 (cases) and age-matched and sex-matched 1:1 individuals (controls).

MAIN OUTCOME MEASURES

A conditional logistic regression model was used to estimate the adjusted ORs and their 95% CIs for CVD, IHD, CHF and stroke risk, adjusting for covariates.

RESULTS

A total of 79 296 patients were included, with respect to CVD (39 648 patients with newly diagnosed CVD and 39 648 controls). After adjustment for covariates, the exposure odds of knee OA (KOA), hip OA (HipOA) and hand OA (HandOA) for CVD were 1.192 (95% CI 1.115 to 1.274), 1.057 (95% CI 0.919 to 1.215) and 1.035 (95% CI 0.684 to 1.566), respectively, showing an association only for KOA. The exposure odds of KOA, HipOA and HandOA for IHD were 1.187 (95% CI 1.086 to 1.297), 1.078 (95% CI 0.891 to 1.306) and 1.099 (95% CI 0.677 to 1.784), respectively. The exposure odds of KOA, HipOA and HandOA for stroke were 1.221 (95% CI 1.099 to 1.356), 0.918 (95% CI 0.723 to 1.165) and 1.169 (95% CI 0.635 to 2.151), respectively. Similar to CVD, only KOA was associated with both. For CHF, neither KOA nor HipOA and HandOA were associated with CHF development.

CONCLUSION

This study confirms the association of KOA with CVD, particularly IHD and stroke, in the Japanese population. The finding that patients with KOA have a higher CVD risk can potentially assist in guiding future treatment strategies.

Identifying Long-Term Trajectories of Foot Pain Severity and Potential Prognostic Factors: A Population-Based Cohort Study

OBJECTIVES

To identify distinct foot pain trajectories over 7 years and examine their associations with potential prognostic factors.

METHODS

Adults ages ≥50 years and registered with 4 general practices in North Staffordshire, UK were mailed a baseline health survey. Those reporting current or recent foot pain were invited to attend a research assessment clinic. Follow-up was by repeated postal surveys at 18, 36, 54, and 84 months. Distinct trajectories of foot pain were explored using latent class growth analysis (LCGA). Subsequently, identified trajectories were combined into most and least progressive groups, and covariate-adjusted associations with a range of prognostic factors were examined.

RESULTS

Of 560 adults with foot pain attending baseline research clinics, 425 (76%) provided data at baseline and 2 or more follow-up time points. LCGA for foot pain severity (0-10 numerical rating scale) identified a 4-trajectory model: "mild, improving" (37%); "moderate, improving" (33%); "moderate-severe, persistent" (24%); and "severe, persistent" (6%). Compared with individuals in more favorable (improving) pain trajectories, those in less favorable (persistent) pain trajectories were more likely to be obese, have routine/manual and intermediate occupations, have poorer physical and mental health, have catastrophizing beliefs, have greater foot-specific functional limitation, and have self-assessed hallux valgus at baseline.

CONCLUSIONS

Four distinct trajectories of foot pain were identified over a 7-year period, with one-third of individuals classified as having pain that is persistently moderate-severe and severe in intensity. The effect of intervening to target modifiable prognostic factors such as obesity and hallux valgus on long-term outcomes in people with foot pain requires investigation.

Osteoarthritis and cardiovascular disease: A Mendelian randomization study

OBJECTIVE

This Mendelian randomization (MR) study aimed to investigate the causal relationship between osteoarthritis (OA) and cardiovascular disease (CVD).

METHODS

From a genome-wide association study of European ancestry, we selected single nucleotide polymorphisms for two types of OA, knee osteoarthritis (KOA) and hip osteoarthritis (HOA), as instrumental variables. We evaluated three types of CVD: coronary heart disease (CHD), heart failure (HF), and stroke. We used the traditional inverse variance weighting (IVW) method and other methods to estimate causality. Heterogeneity and sensitivity tests were also applied. Finally, we conducted a MR analysis in the opposite direction to investigate reverse causality.

RESULTS

IVW analysis showed that HOA significantly affected the incidence of HF [odds ratio (OR): 1.0675; 95% confidence interval (CI): 0.0182-0.1125, P = 0.0066]. HOA significantly affected the incidence of stroke (OR: 1.1368; 95% CI: 1.0739-1.2033, P = 9.9488e-06). CHD could dramatically affect the incidence of KOA (OR: 0.9011; 95% CI: 0.8442-0.9619, P = 0.0018). The rest of the results were negative.

CONCLUSIONS

Our results revealed a potential causal relationship between HOA and risk of HF, and a potential causal relationship between HOA and risk of stroke. Our findings also suggested that CHD has a significant causal relationship with the risk of KOA. This paper may provide new ideas for the treatment of OA and CVD.

Arthritis, physical function, and disability among older Mexican Americans over 23 years of follow-up

OBJECTIVE

Arthritis is a common chronic condition in the ageing population. Its impact on physical function varies according to sociodemographic and race/ethnic factors. The study objective was to examine the impact of arthritis on physical function and disability among non-disabled older Mexican Americans over time.

DESIGN

A 23-year prospective cohort study of 2230 Mexican Americans aged 65 years and older from the Hispanic Established Population for the Epidemiologic Study of the Elderly (1993/94-2016). The independent variable was self-reported physician-diagnosed arthritis, and the outcomes included Activities of Daily Living (ADL), Instrumental Activities of Daily Living (IADL), mobility, Short Physical Performance Battery (SPPB), and handgrip strength. Covariates were sociodemographic, medical conditions, body mass index, depressive symptoms, and cognitive function. General linear mixed models were performed to estimate the change in SPPB and muscle strength. General Equation Estimation models estimated the odds ratios (OR) of becoming ADL- or IADL- or mobility - disabled as a function of arthritis. All variables were used as time-varying except for sex, education, and nativity.

RESULTS

Overall, participants with arthritis had higher odds ratio (OR) of any ADL [OR = 1.35, 95% Confidence Interval (CI) = 1.09-1.68] and mobility (OR = 1.34, 95% CI = 1.18-1.52) disability over time than those without arthritis, after controlling for all covariates. Women, but not men, reporting arthritis had increased risk for ADL and mobility disability. The total SPPB score declined 0.18 points per year among those with arthritis than those without arthritis, after controlling for all covariates (p-value < .010).

CONCLUSIONS

Our study demonstrates the independent effect of arthritis in increasing ADL and mobility disability and decreased physical function in older Mexican Americans over 23-years of follow-up.

Influential Factors and Personalized Prediction Model of Acute Pain Trajectories after Surgery for Renal Cell Carcinoma

Background: Renal cell carcinoma (RCC) is the most common neoplasm in kidneys, and surgical resection remains the mainstay treatment. Few studies have investigated how the postoperative pain changes over time and what has affected its trajectory. This study aimed to characterize the variations in postoperative pain over time and investigate associated factors after RCC surgery. Methods: This retrospective study was conducted in a single medical center in Taiwan, where maximal pain scores in a numeric rating scale were recorded daily in the first five postoperative days (PODs) after RCC surgery. Latent curve models were developed, using two latent variables, intercept and slope, which represented the baseline pain and rate of pain resolution. These models explain the variations in postoperative pain scores over time. A predictive model for postoperative pain trajectories was also constructed. Results: There were 861 patients with 3850 pain observations included in the analysis. Latent curve analysis identified that female patients and those with advanced cancer (stage III and IV) tended to have increased baseline pain scores (p = 0.028 and 0.012, respectively). Furthermore, patients over 60 years, without PCA use (both p < 0.001), and with more surgical blood loss (p = 0.001) tended to have slower pain resolution. The final predictive model fit the collected data acceptably (RMSEA = 0.06, CFI = 0.95). Conclusion: Latent curve analysis identified influential factors of acute pain trajectories after RCC surgery. This study may also help elucidate the complex relationships between the variations in pain intensity over time and their determinants, and guide personalized pain management after surgery for RCC.

The Impairment and Functioning Inventory Revised-English version: A validation study in individuals with disabilities and bothersome pain

BACKGROUND

Despite the relevance of daily function in individuals with chronic pain, few questionnaires have been designed to assess this domain in individuals with musculoskeletal pain. In addition, the Impairment and Functioning Inventory-Revised (IFI-R) is the only instrument that assesses perceived decreases in levels of daily activity after the onset of pain.

OBJECTIVE

To evaluate the psychometric properties of the English version of the IFI-R.

DESIGN

Cross-sectional study.

SETTING

A database of individuals with medical conditions commonly associated with chronic pain maintained by the University of Washington.

PATIENTS

A total of 470 individuals with chronic pain.

METHODS

Factorial validity was analyzed by conducting a confirmatory factor analysis via structural equation modeling. Internal consistency was evaluated by calculating Cronbach's α coefficients. Convergent validity was assessed by calculating Pearson correlation coefficients between the two scales of the IFI-R and the Patient Reported Outcome Measurement Information System (PROMIS) Pain Interference Scale. Criterion validity was analyzed by regression analysis via structural equation modeling.

MAIN OUTCOME MEASURES

The English version of the IFI-R (IFI-R-EV) for individuals with chronic pain.

RESULTS

The IFI-R-EV consists of 30 items with two related subscales: The Daily Function subscale (α = .86). and the Impairment subscale (α = .89). A significant correlation was found between these subscales and a measure of pain interference (r's = - .33, and .35 respectively; p's < .01). We also found statistically significant associations (p < .05) between daily function and depression (β = -.14) and pain intensity (β = -.13), between impairment and depression (β = .14) and pain intensity (β = .16), and between daily function and pain acceptance (β = .14).

CONCLUSIONS

The findings indicate that the IFI-R-EV provides valid and reliable measures of daily function and impairment in English-speaking individuals with a disability and chronic pain. These results are consistent with those obtained with the Spanish version.

Using heterogeneity in disease to understand the relationship between health and personality

The aim of this study was to compare the relationship between two health outcomes (pain and self-reported health) and personality while accounting for heterogeneity in arthritic disease. Traditionally health research has treated patients' disease experiences as homogeneous but stratified medicine suggests that doing so might over-generalise findings and miss important effects. We present a longitudinal analysis over 14 years, on a subsample of 443 arthritic respondents from the English Longitudinal Study of Ageing (ELSA). Using linear regressions, we modelled how the Big Five domains of personality (wave 5) moderated the relationship between past (at wave 1) and present health (at wave 7). Then, to model heterogeneity in arthritis experience we included assignment to 4 different sub-groups based on their experience of pain progression. The results showed that modelling heterogeneity led to the identification of specific stratified effects for personality (neuroticism, agreeableness, and extraversion) not observed when these data are treated as homogenous. Higher agreeableness was associated with worse pain for those in a sub-group reporting the greatest pain, and higher extraversion was protective against pain among those whose pain improved. The results highlight the importance of modelling heterogeneity of disease.

Investigating musculoskeletal health and wellbeing; a cohort study protocol

Background

In an ageing population, pain, frailty and disability frequently coexist across a wide range of musculoskeletal diagnoses, but their associations remain incompletely understood. The Investigating Musculoskeletal Health and Wellbeing (IMH&W) study aims to measure and characterise the development and progression of pain, frailty and disability, and to identify discrete subgroups and their associations. The survey will form a longitudinal context for nested research, permitting targeted recruitment of participants for qualitative, observational and interventional studies; helping to understand recruitment bias in clinical studies; and providing a source cohort for cohort randomised controlled trials.

Methods

IMH&W will comprise a prospective cohort of 10,000 adults recruited through primary and secondary care, and through non-clinical settings. Data collection will be at baseline, and then through annual follow-ups for 4 years. Questionnaires will address demographic characteristics, pain severity (0–10 Numerical Rating Scale), pain distribution (reported on a body Manikin), pain quality (McGill Pain Questionnaire), central aspects of pain (CAP-Knee), frailty and disability (based on Fried criteria and the FRAIL questionnaire), and fracture risk. Baseline characteristics, progression and associations of frailty, pain and disability will be determined. Discrete subgroups and trajectories will be sought by latent class analysis. Recruitment bias will be explored by comparing participants in nested studies with the eligible IMH&W population.

Discussion

IMH&W will elucidate associations and progression of pain, frailty and disability. It will enable identification of people at risk of poor musculoskeletal health and wellbeing outcomes who might be suitable for specific interventions, and facilitate generalisation and comparison of research outcomes between target populations. The study will benefit from a large sample size and will recruit from diverse regions across the UK. Purposive recruitment will enrich the cohort with people with MSK problems with high representation of elderly and unwell people.

Trial registration

Clinicaltrials.gov NCT03696134. Date of Registration: 04 October 2018.

Influential factors of postoperative pain trajectories in patients receiving intravenous patient-controlled analgesia: a single-centre cohort study in Taiwan

OBJECTIVES

We aimed to investigate the factors associated with variations in postoperative pain trajectories over time in patients using intravenous patient-controlled analgesia (IV-PCA) for postoperative pain.

DESIGN

Retrospective cohort study.

SETTING

A single medical centre in Taiwan.

PARTICIPANTS

Patients receiving IV-PCA after surgery.

PRIMARY AND SECONDARY OUTCOME MEASURES

Primary outcome was the postoperative pain scores.

RESULTS

A total of 3376 patients and 20 838 pain score observations were analysed using latent curve models. Female and longer anaesthesia time increased the baseline level of pain (p=0.004 and 0.003, respectively), but abdominal surgery and body weight decreased it (both p<0.001). Regarding the trend of pain resolution, lower abdominal surgery steepened the slope (p<0.001); older age, American Society of Anesthesiologists (ASA) class ≥3 and longer anaesthesia time tended to flatten the slope (p<0.001, =0.019 and <0.001, respectively). PCA settings did not affect the variations in postoperative pain trajectories.

CONCLUSIONS

Patient demographics, ASA class, anaesthesia time and surgical sites worked together to affect postoperative pain trajectories in patients receiving IV-PCA. Latent curve models provided valuable information about the dynamic and complex relationships between the pain trajectories and their influential factors.