Trends and disparities in osteoarthritis prevalence among US adults, 2005-2018

Development and validation of a new nomogram for self-reported OA based on machine learning: a cross-sectional study

Developing a new diagnostic prediction model for osteoarthritis (OA) to assess the likelihood of individuals developing OA is crucial for the timely identification of potential populations of OA. This allows for further diagnosis and intervention, which is significant for improving patient prognosis. Based on the NHANES for the periods of 2011-2012, 2013-2014, and 2015-2016, the study involved 11,366 participants, of whom 1,434 reported a diagnosis of OA. LASSO regression, XGBoost algorithm, and RF algorithm were used to identify significant indicators, and a OA prediction nomogram was developed. The nomogram was evaluated by measuring the AUC, calibration curve, and DCA curve of training and validation sets. In this study, we identified 5 predictors from 19 variables, including age, gender, hypertension, BMI and caffeine intake, and developed an OA nomogram. In both the training and validation cohorts, the OA nomogram exhibited good diagnostic predictive performance (with AUCs of 0.804 and 0.814, respectively), good consistency and stability in calibration curve and high net benefit in DCA. The nomogram based on 5 variables demonstrates a high accuracy in predicting the diagnosis of OA, indicating that it is a convenient tool for clinicians to identify potential populations of OA.

Prevalence of metal implants among US adults aged 40 years and older

Metal implants are commonly used in clinical practice. However, little is known regarding the prevalence of metal implants. Therefore, this study aimed to evaluate the prevalence of metal implants in the United States (US) among individuals aged ≥ 40 years. This study conducted a serial cross-sectional analysis of US adults aged ≥ 40 years who participated in the National Health and Nutrition Examination Survey (NHANES) (2015-2016 and 2017-March 2020). Self-reported questionnaires were used to assess whether the participants had metal implants inside their bodies. The primary outcome was the prevalence of metal implants among adults aged 40 years and older. Furthermore, weighted logistic regression analysis was employed to determine the changes in the prevalence of metal implants from 2015 to March 2020. Moreover, this study investigated the variation in metal implant prevalence by demographic factors based on the pooled NHANES cycles. All analyses were conducted based on 3,736 participants from the NHANES 2015-2016 and 6,387 participants from the NHANES 2017-March 2020. This study observed a high prevalence of metal implants among adults aged 40 and older (2015-2016: 27.23%; 2017-March 2020: 31.53%). Moreover, the results of the weighted logistic regression analysis showed that the prevalence of metal implants significantly increased from 2015 to March 2020, especially among older individuals, men, and White individuals. In addition, the results of the weighted logistic regression analysis indicated that the metal implant prevalence differed by age and race/ethnicity, in which older individuals and White individuals showed a significantly higher prevalence of metal implants than younger individuals and non-White individuals, respectively. There was a high prevalence of metal implants among US adults aged 40 and older, and the prevalence of metal implants significantly increased from 2015 to March 2020. Therefore, more attention needs to be paid to this special population, and it may be necessary to ensure accessibility and affordability and assess the potential long-term health impacts of metal implants, considering the increased prevalence of metal implants.

Prevalence of complications and co-morbidities in males and females with obesity: Real-world insights from claims data analysis

AIM

To comprehensively examine the range of co-morbidities among males and females with a diagnosis of obesity.

MATERIALS AND METHODS

This cross-sectional retrospective study used US commercial and Medicare claims data from Merative MarketScan Research Databases to identify adults (age ≥ 18 years) with a diagnosis of obesity with continuous insurance coverage from 2018 to 2020. Co-morbidities were tabulated based on coded diagnoses, and prevalences were calculated in males and females across age groups. Age-adjusted odds ratios (ORs) determined differences in co-morbidities between the sexes.

RESULTS

Of an eligible sample of 6.9 million, we identified 2 028 273 individuals with at least one obesity-related International Classification of Diseases, 10th Revision, Clinical Modification code. The proportions of males and females with obesity were 43.0% versus 57.0%. The most prevalent co-morbidities among males and females were hypertension (62.8% vs. 52.2%), dyslipidaemia (63.3% vs. 50.3%) and depression and/or anxiety (D/A; 29.7% vs. 48.5%). The prevalence of D/A was high in the younger age group, but steadily decreased with age in both sexes; however, hypertension and dyslipidaemia continued to increase with age. The presence of diagnosis of hypertension and dyslipidaemia was 6-8 years earlier in males than in females. Females had higher odds than males for osteoarthritis (OR 1.33), depression (OR 2.22) or osteoporosis (OR 7.10); all P < .0001.

CONCLUSIONS

Males with obesity received a diagnosis of cardiovascular risk factors at an earlier age than females, which may have contributed to the higher prevalence of coronary heart disease. Understanding sex-specific variations in co-morbidities across ages can support early screening and diagnosis of risk clusters for optimal obesity management.

The natural history of marginal erosions in hands with and without osteoarthritis

INTRODUCTION/OBJECTIVES

Among people with or without hand osteoarthritis, we aimed to identify characteristics of people (e.g., age and gender) with marginal erosions (MEs). We also examined changes in MEs during 48 months. We described radiographic severity and progression among joints with MEs, changes in MEs, or central erosions (CEs).

DESIGN

We studied participants from the Osteoarthritis Initiative with baseline and 48-month hand radiographs. A radiologist and rheumatologist evaluated the radiographs for disease severity (Kellgren-Lawrence grades) and erosions (central or marginal), respectively. We used descriptive statistics to characterize participants and calculated frequencies at the joint level.

RESULTS

Of the 3558 participants, 89 had a ME at baseline. People with MEs were more often male, older, and ever (former and current) smokers than those without a ME. There was no difference in inflammatory biomarkers or the presence of hand pain between individuals with and without a baseline ME. Almost all hands had only one ME (80%), whereas only 50% of individuals with CEs had only one CE at baseline. Compared to CEs, MEs appeared more frequently in joints without osteoarthritis (54% vs. < 1%). Approximately 18% of joints with an ME progressed in Kellgren-Lawrence grade versus 4% without ME. Among the joints with an ME at baseline, 10% resolved by 48 months. Less than 0.1% of joints developed a new ME.

CONCLUSION

MEs appear to be distinct from CEs. MEs are predominantly present in males, isolated to one specific joint without osteoarthritis within a hand, and possibly predictive of radiographic progression. Key Points • Marginal erosions appear to be distinct from central erosions. • Most marginal erosions occur in joints without radiographic osteoarthritis. • Radiographic progression but not hand pain is more common in joints with a marginal erosion than without one.

The association between accelerated biological aging and the risk of osteoarthritis: a cross-sectional study

Background

Biological age (BA) offers an effective assessment of true aging state. The progression of Osteoarthritis (OA) is closely associated with an increase in chronological age, the correlation between BA and OA has not been fully elucidated.

Methods

This study analyzed data from the National Health and Nutrition Examination Survey (NHANES) 2005-2018. Thirteen commonly used clinical traits were employed to calculate two measures of BA: the Klemera-Doubal method age (KDM-Age) and phenotypic age (Pheno-Age). The residuals of the regression of these ages based on chronological age were calculated as KDM-Age or Pheno-Age acceleration, respectively. OA was determined through self-reported prior diagnoses. The prevalence of OA across different quartiles of BA was compared using weighted chi-square tests and linear trend tests. The association between BA and OA was assessed using weighted multivariate logistic regression models.

Results

A total of 30,547 participants aged ≥20 years were included in this study, 3,922 (14%) were diagnosed with OA. Participants with OA exhibited higher chronological age, KDM-Age, Pheno-Age, KDM-Age advance, and Pheno-Age advance compared to those without OA (p < 0.001). The prevalence of OA significantly increased with higher quartiles of KDM-Age advance and Pheno-Age advance (P for trend < 0.001). In the fully adjusted model, compared to the lowest quartile (Q1) of KDM-Age advance, the highest quartile (Q4) was associated with a 36.3% increased risk of OA (OR = 1.363; 95% CI = 1.213 to 1.532, p < 0.001). The highest quartile of Pheno-Age advance (Q4) was associated with a 24.3% increased risk of OA compared to Q1 (OR = 1.243; 95% CI = 1.113 to 1.389, p < 0.001). In males and young people, no statistical differences were found in OA risk between the highest and the lowest quartiles of KDM-Age advance (p = 0.151) and Pheno-Age advance (p = 0.057), respectively.

Conclusion

Adults with accelerated biological aging have an increased risk of OA, particularly among females and older adults.

Inflammatory burden index: associations between osteoarthritis and all-cause mortality among individuals with osteoarthritis

BACKGROUND

The newly described inflammatory burden index (IBI) reflects a patient's inflammatory burden. This study aimed to estimate the association between IBI, osteoarthritis (OA), and all-cause mortality in patients with OA.

METHODS

We extracted the data of adults from the National Health and Nutrition Examination Survey database between 1999 and 2018. After using appropriate survey weights to correct for sample bias, we conducted multivariate logistic regression analyses to explore the association between IBI and OA across three models: in the unadjusted model, partially adjusted model (adjusting age, sex, race, education level, marital status, PIR, BMI, smoking status, drinking status, stroke, CVD, DM, and hypertension) and fully adjusted model (which included additional variables: HBA1C, ALT, AST, BUN, TC, and HDL). And the odds ratios (OR) and 95% confidence intervals (CI) were calculated. Similarly, using comparable survey weights and covariates adjustments, we employed Cox proportional hazards regression analysis to investigate the association between IBI and all-cause mortality in the other 3 models. The Cox proportional hazards regression models were fitted to calculate the hazard ratios (HR) and 95% CI of the association between IBI and all-cause mortality. A restricted cubic spline (RCS) was used to explore the nonlinear relationships between association effects. Subgroup analysis was performed to validate the reliability of their effects.

RESULTS

In total, 22,343 eligible participants were included. Multiple logistic regression models revealed that participants with the highest IBI had 2.54 times (95%CI, 2.23, 2.90)) higher risk of OA than those with the lowest IBI in Model 1, whereas the OR was 1.21 (95%CI, 1.03, 1.42) in Model 2 and 1.23 (95%CI,1.05, 1.45) in Model 3. Multiple Cox regression models showed participants with the highest IBI had 186% (95%CI, 1.50, 2.31) times risk of developing all-cause death than those with the lowest IBI in Model 1. This trend remained stable in Models 2 (HR,1.54; 95%CI,1.22, 1.95) and 3 (HR, 1.41; 95%CI, 1.10, 1.80). The RCS revealed a significant positive association between IBI and OA risk. With respect to the association between IBI and all-cause mortality, a slight decrease in mortality was observed from the lowest quartile to the second quartile of IBI, and the mortality risk increased with increasing IBI. Subgroup analyses showed that age, cardiovascular disease, and hypertension were pivotal in the association of IBI with all-cause mortality, whereas the association of IBI with OA remained stable after stratification by other factors such as sex, race, education level, marital, smoking, and drinking status, hypertension, and most serological indices.

CONCLUSIONS

This study provides evidence of a positive association between IBI, OA, and all-cause mortality. IBI may be a promising signature for assessing the inflammatory burden in patients with OA, which, in turn, is conducive to precise references for high-risk population recognition, anti-inflammatory guidance, and reducing mortality intervention.

Prevalence of diagnosed and undiagnosed osteoarthrosis and associated factors in the adult general Spanish population

OBJECTIVE

To determine the prevalence and related factors of diagnosed osteoarthrosis (DO) and undiagnosed osteoarthrosis (UO) in the general Spanish adult population.

SETTING

Cross-sectional study with data from the Spanish National Health Survey 2017.

PARTICIPANTS

N=23,089 adults. Three groups of people were defined: DO, UO, and no osteoarthrosis (NO).

MAIN MEASUREMENTS

Sociodemographic information, lifestyle (tobacco, alcohol, physical activity, body mass index) and health factors (intensity of pain, pain drug consumption, mental health, self-perceived health status, pain involvement in daily living) were collected. Descriptive and bivariate analyses were performed, and a multinomial logistic regression model for the factors associated with each group.

RESULTS

The prevalence of DO was 22.4% (95%CI=21.8;22.9) and 0.9% (95%CI=0.8;1) of UO. With respect to NO, risk factors for DO and UO included higher pain levels and pain drug consumption. Better self-perceived health status was inversely related with both. More pain involvement in daily living was associated with increased risk of DO, but reduced risk of UO.

CONCLUSIONS

The prevalence of DO and UO was similar to that reported in Europe, but slightly higher than in low/middle-income countries. It was more prevalent in females, older people, people with worse perceived health status and worse mental health. Higher pain levels and pain drug consumption were risk factors for DO and UO. Better self-perceived health status was protective. Pain involvement in daily living was a risk factor for DO, but protective for UO. Different public health strategies should be considered in view of this.

Therapeutic Potential of Olfactory Ensheathing Cells and Adipose-Derived Stem Cells in Osteoarthritis: Insights from Preclinical Studies

Olfactory-ensheathing cells (OECs) are known for their role in neuronal regeneration and potential to promote tissue repair. Adipose-derived stem cells (ADSCs), characterized by mesenchymal stem cell (MSC) traits, display a fibroblast-like morphology and express MSC surface markers, making them suitable for regenerative therapies for osteoarthritis (OA). In this study, OECs and ADSCs were derived from tissues and characterized for their morphology, surface marker expression, and differentiation capabilities. Collagenase-induced OA was created in 10-week-old C57BL/6 mice, followed by intra-articular injections of ADSCs (1 × 105), OECs (1 × 105), or a higher dose of OECs (5 × 105). Therapeutic efficacy was evaluated using rotarod performance tests, MRI, histology, and immunohistochemistry. Both cell types exhibited typical MSC characteristics and successfully differentiated into adipocytes, osteoblasts, and chondrocytes, confirmed by gene expression and staining. Transplantation significantly improved rotarod performance and preserved cartilage integrity, as seen in MRI and histology, with reduced cartilage destruction and increased chondrocytes. Immunohistochemistry showed elevated type II collagen and aggrecan in treated joints, indicating hyaline cartilage formation, and reduced MMP13 and IL-1β expression, suggesting decreased inflammation and catabolic activity. These findings highlight the regenerative potential of OECs and ADSCs in treating OA by preserving cartilage, promoting chondrocyte proliferation, and reducing inflammation. Further research is needed to optimize delivery methods and evaluate long-term clinical outcomes.

Natural history study of Pseudoachondroplasia: A focus on oral health

BACKGROUND

Pseudoachondroplasia (PSACH) is a rare dwarfing condition characterized by short limbs and fingers, and multiple skeletal abnormalities/complications. There are few natural history studies delineating the medical problems in PSACH leaving a gap in many areas, especially oral health. Our study aimed to obtain information pertaining to oral health and other health-related problems (pregnancy and childbirth, skeletal health, joint pain) in patients with PSACH.

METHODS

To ascertain this information, an online Qualtrics survey was distributed to members of Little People of America, a support group, and through a PSACH online chatroom.

RESULTS

Ninety-nine of 115 surveys were completed and included in the descriptive and multivariable analyses. PSACH individuals regularly sought dental care, but flossing was challenging because of short fingers. Untreated carries (5%), bleeding gums (16%) malocclusion (37%), obstructive sleep apnea (9%), and TMJ disorder (3%) occurred less frequently compared to the general population. Delivery was by Caesarean section in 100% of female respondents who delivered a baby. Bowlegs (74%), scoliosis (43%) and osteoarthritis (36%) were the most common skeletal complications. Joint pain was reported by 85% of respondents.

CONCLUSIONS

This study provides novel insights into oral health, pregnancy and childbirth while confirming previously identified skeletal complications in PSACH. Our findings suggest that oral healthcare in PSACH presents unique challenges.

Seventeen-Year National Pain Prevalence Trends Among U.S. Military Veterans

U.S. military veterans experience higher pain prevalence than nonveterans. However, it is unclear how the disparities in pain prevalence have changed over time because previous trend studies are limited to veterans using the Veterans Health Administration. This repeated cross-sectional study aimed to characterize pain prevalence trends in the overall population of U.S. veterans compared to nonveterans, using nationally representative data. We analyzed 17 years of data from the National Health Interview Survey (2002-2018), with a mean annual unweighted sample of 29,802 U.S. adults (total unweighted n = 506,639) and mean annual weighted population of 229.7 million noninstitutionalized adults. The weighted proportion of veterans ranged from 11.48% in 2002 (highest) to 8.41% in 2017 (lowest). We found that veterans experience a similar or higher prevalence of pain than nonveterans across the study period, except for severe headaches or migraine and facial pain. Pain prevalence among veterans increased over time, with a higher rate of increase compared to nonveterans for all pain variables. From 2002 to 2018, there was an absolute increase (95% confidence interval) in pain prevalence among veterans (severe headache or migraine: 2.0% [1.6-2.4%]; facial pain: 1.9% [1.4-2.4%]; neck pain: 4.7% [4.1-5.2%]; joint pain: 11.4% [10.8-11.9%]; low back pain: 10.3% [9.5-11.1%]; any pain: 10.0% [9.6-10.4%]; and multiple pains: 9.9% [9.2-10.6%]). The continued pain prevalence increase among veterans may have implications for health care utilization, highlighting the need for improved pain prevention and care programs for this population with a disproportionate pain burden. PERSPECTIVE: This article uses routinely-collected cross-sectional data that are nationally representative of U.S. adults to present changes in pain prevalence among military veterans compared to nonveterans. The findings underscore the need for improved prevention and pain care programs for veterans, who experienced a widening disproportionate pain burden from 2002 to 2018.

Epidemiology of osteoarthritis: literature update 2022-2023

PURPOSE OF REVIEW

This review highlights recently published studies on osteoarthritis (OA) epidemiology, including topics related to understudied populations and joints, imaging, and advancements in artificial intelligence (AI) methods.

RECENT FINDINGS

Contemporary research has improved our understanding of the burden of OA in typically understudied regions, including ethnic and racial minorities in high-income countries, the Middle East and North Africa (MENA) and Latin America. Efforts have also been made to explore the burden and risk factors in OA in previously understudied joints, such as the hand, foot, and ankle. Advancements in OA imaging techniques have occurred alongside the developments of AI methods aiming to predict disease phenotypes, progression, and outcomes.

SUMMARY

Continuing efforts to expand our knowledge around OA in understudied populations will allow for the creation of targeted and specific interventions and inform policy changes aimed at reducing disease burden in these groups. The burden and disability associated with OA is notable in understudied joints, warranting further research efforts that may lead to effective therapeutic options. AI methods show promising results of predicting OA phenotypes and progression, which also may encourage the creation of targeted disease modifying OA drugs (DMOADs).

Prevalence and Predictors of Depression in Women with Osteoarthritis: Cross-Sectional Analysis of Nationally Representative Survey Data

Osteoarthritis (OA) is the most common joint disease in the US and can increase the risk of depression. Both depression and OA disproportionately affect women, yet this study is one of few on depression prevalence, treatment across age groups, and predictors in women with OA. Data were extracted from the 2011-March 2020 National Health and Nutrition Examination Survey (NHANES). Women aged ≥ 45 years with self-reported osteo- or degenerative arthritis were included. Outcomes were depression (assessed with PHQ-9) and treatment (self-reported pharmacotherapy and mental health services). Logistic regression was used to examine associations between age group, covariates, and outcomes. Overall, depression prevalence was 8%, with higher proportions among those 45-64 years old. Aging was associated with reduced odds of depression (Age 65-79: OR 0.68 (95% CI: 0.52-0.89); Age 80+: OR 0.49 (95% CI: 0.33-0.74); vs. Age 45-54). Of those with a positive depression screen, 21.6% documented some form of treatment. Age group was not statistically different between those treated and those not treated. Women aged 45-64 with osteoarthritis may be at increased risk of depression, and most are not treated. As depression is related to increased pain and risk of rehospitalization, future research should prioritize interventions to increase uptake of depression treatment.

Lower serum testosterone is associated with increased likelihood of arthritis

Studies have suggested that serum testosterone levels may be strongly correlated with the pathogenesis of arthritis. Therefore, the aim of this study was to assess the relationship between serum testosterone levels and arthritis in US adults using the National Health and Nutrition Examination Survey (NHANES). We used the database from NHANES, 2013-2016 to perform a cross-sectional study. This study investigated the relationship between serum testosterone and arthritis using multivariate logistic regression models and also used smoothed curve fitting and generalized additivity models. A total of 10,439 adults were included in this analysis. A significant negative association between serum testosterone and arthritis was found in a linear regression analysis. The study showed that the arthritis group had lower testosterone levels than the non-arthritis group. The univariate multivariate analyses of Q4, using Q1 as a reference, all showed a significantly lower risk of developing arthritis. In subgroup analyses, the negative correlation between serum testosterone levels and arthritis was more significant in women and those with a body mass index (BMI) ≥ 30 kg/m2. After controlling for various variables, we found a significant association between serum testosterone and arthritis in this analysis. Further study of the relationship between testosterone and arthritis is necessary to clarify the specific mechanism of serum testosterone action on arthritis.

Seventeen-Year National Pain Prevalence Trends Among U.S. Military Veterans

Importance

U.S. military veterans experience higher pain prevalence and severity than nonveterans. However, it is unclear how these differences have changed over time. Previous studies are limited to veterans receiving care from the Veterans Health Administration.

Objective

To characterize pain prevalence trends in the overall population of U.S. veterans compared to nonveterans, using nationally-representative data.

Design

Repeated cross-sectional study. Data: National Health Interview Survey, 2002-2018. Analysis: January 2023.

Setting

Population-based survey of noninstitutionalized U.S. adults.

Participants

Across the 17-year period, mean annual weighted population was 229.7 million adults (unweighted sample total: n=506,639; unweighted sample annual mean: n=29,802).

Exposure

Veteran status.

Main Outcomes

Crude and demographics-adjusted pain prevalence trend differences between veterans and nonveterans across five pain variables (severe headache or migraine, facial pain, neck pain, low back pain, and joint pain) and two composite variables (any pain [≥1 prevalent pain] and multiple pains [≥2 prevalent pains]).

Results

Weighted proportion of veterans varied from 11.48% in 2002 (highest) to 8.41% in 2017 (lowest). Across the study period, crude prevalence was generally similar or higher among veterans than nonveterans for all pain variables except for severe headache or migraine and facial pain. When equalizing age, sex, race, and ethnicity, pain prevalence among veterans remained similar or higher than nonveterans for all pain variables. From 2002 to 2018 there was an absolute increase (95% CI) in pain prevalence among veterans (severe headache or migraine: 2.0% [1.6% to 2.4%]; facial pain: 1.9% [1.4% to 2.4%]; neck pain: 4.7% [4.1% to 5.2%]; joint pain: 11.4% [10.8% to 11.9%]; low back pain: 10.3% [9.5% to 11.1%]; any pain: 10.0% [9.6% to 10.4%]; and multiple pains: 9.9% [9.2% to 10.6%]. Crude and adjusted analyses indicated prevalence of all pain variables increased more among veterans than nonveterans from 2002 to 2018.

Conclusion and Relevance

Veterans had similar or higher adjusted prevalence and higher rates of increase over time for all pain variables compared to nonveterans. Continued pain prevalence increase among veterans may impact healthcare utilization (within and outside of the VHA), underscoring the need for improved pain prevention and care programs for these individuals with disproportionate pain burden.

Osteoarthritis affects us too: an expert panel survey of factors important for younger adult wellbeing

Research on quality of life (QOL) factors important for younger adults (ages 18-45 years old) with osteoarthritis (OA) is limited. This study utilizes an online survey method to conduct an expert panel review of QOL domains for this population. Health provider and young adult perspectives of living with OA were captured and compared. Results indicate that providers are underestimating the impact OA is having on a variety of QOL factors for younger adults. Overall, these results reveal critical QOL domains to consider during assessment and when considering intervention strategies aimed at improving the lives of younger adults with this chronic disease. Implications for social work are also discussed.

Association of smoking and osteoarthritis in US (NHANES 1999-2018)

Little is currently known about the effect of smoking on osteoarthritis (OA). This study aimed to investigate the relationship between smoking and OA in the United States (US) general population. Cross-sectional study. Level of evidence, 3. 40,201 eligible participants from the National Health and Nutrition Examination Survey 1999-2018 were included and divided into OA and non-arthritis groups. Participants demographics and characteristics were compared between the two groups. Then the participants were divided into non-smokers, former smokers, and current smokers based on their smoking status, also demographics and characteristics among the three groups were compared. Multivariable logistic regression was used to determine the relationship between smoking and OA. The current and former smoking rate in the OA group (53.0%) was significantly higher than that in the non-arthritis group (42.5%; p < 0.001). Multivariable regression analysis including body mass index (BMI), age, sex, race, education level, hypertension, diabetes, asthma and cardiovascular disease showed that smoking was an association for OA. This large national study highlights a positive association between smoking and OA prevalence in the general US population. It is necessary to further study the relationship between smoking and OA in order to determine the specific mechanism of smoking on OA.

Curcumin Supplementation and Human Disease: A Scoping Review of Clinical Trials

Medicinal properties of turmeric (Curcuma longa L.), a plant used for centuries as an anti-inflammatory, are attributed to its polyphenolic curcuminoids, where curcumin predominates. Although "curcumin" supplements are a top-selling botanical with promising pre-clinical effects, questions remain regarding biological activity in humans. To address this, a scoping review was conducted to assess human clinical trials reporting oral curcumin effects on disease outcomes. Eight databases were searched using established guidelines, yielding 389 citations (from 9528 initial) that met inclusion criteria. Half focused on obesity-associated metabolic disorders (29%) or musculoskeletal disorders (17%), where inflammation is a key driver, and beneficial effects on clinical outcomes and/or biomarkers were reported for most citations (75%) in studies that were primarily double-blind, randomized, and placebo-controlled trials (77%, D-RCT). Citations for the next most studied disease categories (neurocognitive [11%] or gastrointestinal disorders [10%], or cancer [9%]), were far fewer in number and yielded mixed results depending on study quality and condition studied. Although additional research is needed, including systematic evaluation of diverse curcumin formulations and doses in larger D-RCT studies, the preponderance of current evidence for several highly studied diseases (e.g., metabolic syndrome, osteoarthritis), which are also clinically common, are suggestive of clinical benefits.

Becoming a secondary actor of one's own life: A qualitative study of the experiences of informal caregivers in the care of people with chronic pain

INTRODUCTION

The physical limitations experienced by people with chronic pain (CP) produce a greater need for care and assistance, most of which is provided by an informal caregiver (IC). Despite the key role ICs play in the everyday lives of individuals living with CP, knowledge about their experiences and needs is limited. We aimed to address this limitation by exploring the experiences of IC of people with CP.

METHODS

This is a qualitative descriptive study using semistructured interviews. Participants were 12 ICs purposively chosen from the Unit of Pain at the University Hospital in Cádiz. Individual interviews were recorded, transcribed verbatim and analysed following thematic analysis.

RESULTS

We developed one overarching theme 'Becoming a secondary actor of one's own life' and three themes: 1. Key elements that shape a caregiver's experiences; 2. It's the hand that life dealt me; 3. The burden of being a caregiver and coping strategies.

CONCLUSIONS

This study's findings highlight how the CP impacts IC lives. Being an IC for a relative with CP became the most important role in the IC's life, to the point of casting a shadow over their own needs. Besides, participants felt not having other options but to keep going with that role. Yet, the context was essential in shaping the experiences as caregivers and the burden derived from caregiving. In this line, differences related to gender roles were found in the narratives of participant women and men.

PATIENT OR PUBLIC CONTRIBUTION

Participants were purposively chosen from the Unit of Pain at the University Hospital 'Puerta del Mar' who attended the consultation accompanying their relatives. All the eligible participants were approached by the clinician. After this initial approach by the clinician, one of the researchers met the potential participant and they went to a quieter place in a clinical setting for the interview, before which the participant was shown a letter with more comprehensive information about the study and its aim. The participants were left alone to read and think carefully before giving their written informed consent. Participation was voluntary and the subjects received no financial contribution for their time.

Development of a personalized shared decision-making tool for knee osteoarthritis and user-testing with African American and Latina women

Background

Patients with chronic knee pain are often unaware of treatment options and likely outcomes-information that is critical to decision-making. A consistent framework for communicating patient-personalized information enables clinicians to provide consistent, targeted, and relevant information. Our objective was to user-test a shared decision-making (SDM) tool for chronic knee pain.

Methods

A cross-functional team developed a Markov-based health economics model and tested the model outputs with patient panels, patient and clinician focus groups, and clinical specialists. The resulting SDM tool was user-tested in a parallel-designed, randomized controlled study with 52 African American and 52 Latina women from geographically representative areas of the US. Participants were randomized to counseling with or without the SDM tool. Feedback was collected at intervention and at 1 month after intervention and analyzed with Student's t-tests and Chi-squared analyses (alpha = 0.05).

Results

Qualitative results indicated patients understood the material, rated the overall experience highly, and were likely to recommend the physician. The SDM group reported high satisfaction with the tool. A greater proportion of the SDM group (56%) reported increased physical activity over baseline at 1 month compared with the control group (33%) (P = 0.0005). New use of medications for knee pain (58% SDM; 49% control) did not differ significantly between groups (P = 0.15).

Conclusion

Use of this innovative SDM tool was associated with high satisfaction and a significant increase in self-reported physical activity level at 1 month. The SDM tool may elicit behavioral changes to promote musculoskeletal health.

Identification for heavy metals exposure on osteoarthritis among aging people and Machine learning for prediction: A study based on NHANES 2011-2020

Objective

Heavy metals are present in many environmental pollutants, and have cumulative effects on the human body through water or food, which can lead to several diseases, including osteoarthritis (OA). In this research, we aimed to explore the association between heavy metals and OA.

Methods

We extracted 18 variables including age, gender, race, education level, marital status, smoking status, body mass index (BMI), physical activity, diabetes mellitus, hypertension, poverty level index (PLI), Lead (Pb), cadmium (Cd), mercury (Hg), selenium (Se), manganese (Mn), and OA status from National Health and Nutrition Examination Survey (NHANES) 2011-2020 datasets.

Results

In the baseline data, the t test and Chi-square test were conducted. For heavy metals, quartile description and limit of detection (LOD) were adopted. To analyze the association between heavy metals and OA among elderly subjects, multivariable logistic regression was conducted and subgroup logistic by gender was also carried out. Furthermore, to make predictions based on heavy metals for OA, we compared eight machine learning algorithms, and XGBoost (AUC of 0.8, accuracy value of 0.773, and kappa value of 0.358) was the best machine learning model for prediction. For interactive use, a shiny application was made (https://alanwu.shinyapps.io/NHANES-OA/).

Conclusion

The overall and gender subgroup logistic regressions all showed that Pb and Cd promoted the prevalence of OA while Mn could be a protective factor of OA prevalence among the elderly population of the United States. Furthermore, XGBoost model was trained for OA prediction.