Diabetes mellitus is not a risk factor for osteoarthritis

Metabolic syndrome, radiographic osteoarthritis progression and chronic pain of the knee among men and women from the general population: The Rotterdam study

OBJECTIVE

Although a relationship between osteoarthritis and components of metabolic syndrome (MetS) has been suggested, most of the results have been cross-sectional. We, therefore, aimed to investigate the sex-specific longitudinal association of (components of) MetS with progression of radiographic osteoarthritis and chronic pain in the knee joints in a large prospective cohort.

METHOD

In the large population-based Rotterdam study of up to 6,138 individuals, median follow-up time 5.7 (IQR 5.5) years, we examined the relation between MetS and its components (abdominal obesity, high triglycerides, low high-density lipoprotein, elevated blood pressure, and type 2 diabetes) with the progression of osteoarthritis using generalized estimating equations, generalized linear models and competing risk analysis. Analyses were stratified for sex. Covariates adjusted for: age, smoking, alcohol use, education, sub-cohort, baseline K/L grade, months between radiographs and BMI.

RESULTS

The presence of MetS (37.6 % in men, 39 % in women) and elevated blood pressure was associated with an increased risk of knee osteoarthritis progression in both men and women. MetS was associated with an increased risk of incident chronic knee pain (CKP) in men. In addition, abdominal obesity and high triglycerides showed higher riskfor incidence of CKP in men,but not in women. The associations were attenuated and no longer significant after BMI-adjustment, except for the association of MetS and high triglycerides with incidence of CKP in men that stayed significant (OR 1.04, 95 %CI 1.00-1.07 for MetS and OR 1.04, 95 %CI 1.01-1.07 for high triglycerides).

CONCLUSION

Metabolic syndrome and individual metabolic components, such as abdominal obesity and elevated blood pressure, were associated with radiographic progression of knee OA in both men and women, but not independent of BMI. Metabolic syndrome and high triglycerides were associated with incidence of CKP only in men.

Using clustering of genetic variants in Mendelian randomization to interrogate the causal pathways underlying multimorbidity from a common risk factor

Mendelian randomization (MR) is an epidemiological approach that utilizes genetic variants as instrumental variables to estimate the causal effect of an exposure on a health outcome. This paper investigates an MR scenario in which genetic variants aggregate into clusters that identify heterogeneous causal effects. Such variant clusters are likely to emerge if they affect the exposure and outcome via distinct biological pathways. In the multi-outcome MR framework, where a shared exposure causally impacts several disease outcomes simultaneously, these variant clusters can provide insights into the common disease-causing mechanisms underpinning the co-occurrence of multiple long-term conditions, a phenomenon known as multimorbidity. To identify such variant clusters, we adapt the general method of agglomerative hierarchical clustering to multi-sample summary-data MR setup, enabling cluster detection based on variant-specific ratio estimates. Particularly, we tailor the method for multi-outcome MR to aid in elucidating the causal pathways through which a common risk factor contributes to multiple morbidities. We show in simulations that our "MR-AHC" method detects clusters with high accuracy, outperforming the existing methods. We apply the method to investigate the causal effects of high body fat percentage on type 2 diabetes and osteoarthritis, uncovering interconnected cellular processes underlying this multimorbid disease pair.

Diabetes and Osteoarthritis: Exploring the Interactions and Therapeutic Implications of Insulin, Metformin, and GLP-1-Based Interventions

Diabetes mellitus (DM) and osteoarthritis (OA) are prevalent chronic conditions with shared pathophysiological links, including inflammation and metabolic dysregulation. This study investigates the potential impact of insulin, metformin, and GLP-1-based therapies on OA progression. Methods involved a literature review of clinical trials and mechanistic studies exploring the effects of these medications on OA outcomes. Results indicate that insulin, beyond its role in glycemic control, may modulate inflammatory pathways relevant to OA, potentially influencing joint health. Metformin, recognized for its anti-inflammatory properties via AMPK activation, shows promise in mitigating OA progression by preserving cartilage integrity and reducing inflammatory markers. GLP-1-based therapies, known for enhancing insulin secretion and improving metabolic profiles in DM, also exhibit anti-inflammatory effects that may benefit OA by suppressing cytokine-mediated joint inflammation and supporting cartilage repair mechanisms. Conclusions suggest that these medications, while primarily indicated for diabetes management, hold therapeutic potential in OA by targeting common underlying mechanisms. Further clinical trials are warranted to validate these findings and explore optimal therapeutic strategies for managing both DM and OA comorbidities effectively.

Metabolic syndrome increases osteoarthritis risk: findings from the UK Biobank prospective cohort study

OBJECTIVE

The association between Metabolic Syndrome (MetS), its components, and the risk of osteoarthritis (OA) has been a topic of conflicting evidence in different studies. The aim of this present study is to investigate the association between MetS, its components, and the risk of OA using data from the UK Biobank.

METHODS

A prospective cohort study was conducted in the UK Biobank to assess the risk of osteoarthritis (OA) related to MetS. MetS was defined according to the criteria set by the International Diabetes Federation (IDF). Additionally, lifestyle factors, medications, and the inflammatory marker C-reactive protein (CRP) were included in the model. Cox proportional hazards regression was used to calculate hazard ratios (HR) and 95% confidence intervals (CI). The cumulative risk of OA was analyzed using Kaplan-Meier curves and log-rank tests. To explore potential nonlinear associations between MetS components and OA risk, a restricted cubic splines (RCS) model was employed. In addition, the polygenic risk score (PRS) of OA was calculated to characterize individual genetic risk.

RESULTS

A total of 45,581 cases of OA were identified among 370,311 participants, with a median follow-up time of 12.48 years. The study found that individuals with MetS had a 15% higher risk of developing OA (HR = 1.15, 95%CI:1.12-1.19). Additionally, central obesity was associated with a 58% increased risk of OA (HR = 1.58, 95%CI:1.5-1.66), while hyperglycemia was linked to a 13% higher risk (HR = 1.13, 95%CI:1.1-1.15). Dyslipidemia, specifically in triglycerides (HR = 1.07, 95%CI:1.05-1.09) and high-density lipoprotein (HR = 1.05, 95%CI:1.02-1.07), was also found to be slightly associated with OA risk. When stratified by PRS, those in the high PRS group had a significantly higher risk of OA compared to those with a low PRS, whereas no interaction was found between MetS and PRS on OA risks. Furthermore, the presence of MetS significantly increased the risk of OA by up to 35% in individuals with elevated CRP levels (HR = 1.35, 95% CI:1.3-1.4).

CONCLUSION

MetS and its components have been found to be associated with an increased risk of OA, particularly in individuals with elevated levels of CRP. These findings highlight the significance of managing MetS as a preventive and intervention measure for OA.

Association between High HbA1c Levels and Mast Cell Phenotype in the Infrapatellar Fat Pad of Patients with Knee Osteoarthritis

Diabetes mellitus (DM) has been suggested as a potential risk factor for knee osteoarthritis (KOA), and its underlying mechanisms remain unclear. The infrapatellar fat pad (IPFP) contributes to OA through inflammatory mediator secretion. Mast cells' (MCs) role in diabetic IPFP pathology is unclear. In 156 KOA patients, hemoglobin A1c (HbA1c) was stratified (HbA1c ≥ 6.5, n = 28; HbA1c < 6.5, n = 128). MC markers (TPSB2, CPA3) in IPFP were studied. Propensity-matched cohorts (n = 27 each) addressed demographic differences. MC-rich fraction (MC-RF) and MC-poor fraction (MC-PF) were isolated, comparing MC markers and genes elevated in diabetic skin-derived MC (PAXIP1, ARG1, HAS1, IL3RA). TPSB2 and CPA3 expression were significantly higher in HbA1c ≥ 6.5 vs. <6.5, both before and after matching. MC-RF showed higher TPSB2 and CPA3 expression than MC-PF in both groups. In the HbA1c ≥ 6.5 group, PAXIP1 and ARG1 expression were significantly higher in the MC-RF than MC-PF. However, no statistical difference in the evaluated genes was detected between the High and Normal groups in the MC-RF. Elevated TPSB2 and CPA3 levels in the IPFP of high HbA1c patients likely reflect higher numbers of MCs in the IPFP, though no difference was found in MC-specific markers on a cell-to-cell basis, as shown in the MC-RF comparison. These findings deepen our understanding of the intricate interplay between diabetes and KOA, guiding targeted therapeutic interventions.

Genetic underpinning of the comorbidity between type 2 diabetes and osteoarthritis

Multimorbidity is a rising public health challenge with important implications for health management and policy. The most common multimorbidity pattern is the combination of cardiometabolic and osteoarticular diseases. Here, we study the genetic underpinning of the comorbidity between type 2 diabetes and osteoarthritis. We find genome-wide genetic correlation between the two diseases and robust evidence for association-signal colocalization at 18 genomic regions. We integrate multi-omics and functional information to resolve the colocalizing signals and identify high-confidence effector genes, including FTO and IRX3, which provide proof-of-concept insights into the epidemiologic link between obesity and both diseases. We find enrichment for lipid metabolism and skeletal formation pathways for signals underpinning the knee and hip osteoarthritis comorbidities with type 2 diabetes, respectively. Causal inference analysis identifies complex effects of tissue-specific gene expression on comorbidity outcomes. Our findings provide insights into the biological basis for the type 2 diabetes-osteoarthritis disease co-occurrence.

Osteoarthritis and Diabetes: Where Are We and Where Should We Go?

Diabetes mellitus (DM) and osteoarthritis (OA) are chronic noncommunicable diseases that affect millions of people worldwide. OA and DM are prevalent worldwide and associated with chronic pain and disability. Evidence suggests that DM and OA coexist within the same population. The coexistence of DM in patients with OA has been linked to the development and progression of the disease. Furthermore, DM is associated with a greater degree of osteoarthritic pain. Numerous risk factors are common to both DM and OA. Age, sex, race, and metabolic diseases (e.g., obesity, hypertension, and dyslipidemia) have been identified as risk factors. These risk factors (demographics and metabolic disorder) are associated with DM or OA. Other possible factors may include sleep disorders and depression. Medications for metabolic syndromes might be related to the incidence and progression of OA, with conflicting results. Given the growing body of evidence indicating a relationship between DM and OA, it is vital to analyze, interpret, and integrate these findings. Therefore, the purpose of this review was to evaluate the evidence on the prevalence, relationship, pain, and risk factors of both DM and OA. The research was limited to knee, hip, and hand OA.

Association of Diabetes Mellitus Status and Hyperglycemia With Symptomatic Knee Osteoarthritis

OBJECTIVE

Emerging evidence indicates that hyperglycemia has an adverse impact on the knee joint which, in turn, may increase the risk of knee osteoarthritis (OA), but evidence from the real-life settings of large-scale cohort studies remains unclear. We sought to evaluate the association of glycemic control and the risk of symptomatic knee OA in a community-based cohort of older adults.

METHODS

We conducted a prospective analysis of 10,730 participants without knee OA. Comprehensive blood biomarker data were obtained. Diabetes mellitus (DM) was defined mainly using a glycosylated hemoglobin (HbA_1c ) level of ≥6.5%; poor glycemic control in individuals with DM was defined as an HbA_1c level of ≥7%. We fit Cox regression models, stratified according to DM status. We evaluated the hazards associated with HbA_1c and fasting blood glucose levels using a spline model.

RESULTS

During a median follow-up of 5 years, knee OA developed in 1,089 participants (108 with DM and 971 without). Knee OA was related to DM (hazard ratio [HR] 1.29 [95% confidence interval (95% CI) 1.02-1.78]), bad glycemic regulation in DM patients (HR 1.41 [95% CI 1.05-2.09]), and long-term DM (≥5 versus <5 years; HR 1.49 [95% CI 1.02-2.17]). High levels of HbA_1c (>7.7% and 61 mmoles/mole) and fasting blood glucose (>186 mg/dl) were significantly associated with higher risk of incident knee OA.

CONCLUSION

DM, bad glycemic management, and long-term DM are potential risk factors of symptomatic knee OA independent of age and body mass index. Targeting blood glucose, in addition to bodyweight, may be an important avenue for prevention of knee OA.

Do Individualized Patient-Specific Situations Predict the Progression Rate and Fate of Knee Osteoarthritis? Prediction of Knee Osteoarthritis

Factors affecting the progression rate and fate of osteoarthritis need to be analyzed when considering patient-specific situation. This study aimed to identify the rate of remarkable progression and fate of primary knee osteoarthritis based on patient-specific situations. Between May 2003 and May 2019, 83,280 patients with knee pain were recruited for this study from the clinical data warehouse. Finally, 2492 knees with pain that were followed up for more than one year were analyzed. For analyzing affecting factors, patient-specific information was categorized and classified as demographic, radiologic, social, comorbidity disorders, and surgical intervention data. The degree of contribution of factors to the progression rate and the fate of osteoarthritis was analyzed. Bone mineral density (BMD), Kellgren-Lawrence (K-L) grade, and physical occupational demands were major contributors to the progression rate of osteoarthritis. Hypertension, initial K-L grade, and physical occupational demands were major contributors to the outcome of osteoarthritis. The progression rate and fate of osteoarthritis were mostly affected by the initial K-L grade and physical occupational demands. Patients who underwent surgical intervention for less than five years had the highest proportion of initial K-L grade 2 (49.0%) and occupations with high physical demand (41.3%). In identifying several contributing factors, the initial K-L grade and physical occupational demands were the most important factors. BMD and hypertension were also major contributors to the progression and fate of osteoarthritis, and the degree of contribution was lower compared to the two major factors.

Causal Effect of Higher Glycated Hemoglobin (HbA1c) Levels on Knee Osteoarthritis Risk: A Mendelian Randomization Study

INTRODUCTION

The association between diabetes mellitus (DM) and risk of osteoarthritis (OA) is inconsistent based on published observational studies. This study aimed to conduct a two-sample Mendelian randomization (MR) analysis to explore the causal link between glycated hemoglobin (HbA1c) level and OA risk.

METHODS

Genome-wide association studies (GWAS) summary statistics were obtained from the publicly available Integrative Epidemiology Unit (IEU) OpenGWAS database. A series of screening processes were performed to select qualified instrumental single-nucleotide polymorphisms (SNPs) strongly related to exposure. The inverse-variance-weighted method, weighted-median method, and MR-Egger method were performed to ensure robust and reliable results. The MR-Egger intercept test, Cochran's Q test, and the leave-one-out sensitivity analysis were utilized to assess the horizontal pleiotropy, heterogeneities, and stability of these genetic variants for OA. Odds ratio (OR) and 95% confidence interval (CI) were calculated.

RESULTS

MR analyses found a robust causal association of genetically determined HbA1c with knee OA (OR = 1.561; 95% CI 1.110-2.197; P = 0.011), but not with hip OA (OR = 1.073; 95% CI 0.674-1.710; P = 0.766) or overall OA (OR = 1.141; 95% CI 0.904-1.441; P = 0.804). Sensitivity analyses showed that there was a strong association between SNPs and HbA1c (F = 21.138), no evidence of heterogeneity (Q = 150.625, P = 0.402), and no potential SNPs affecting the causal link.

CONCLUSION

Our MR study supported a causal effect of genetically increased HbA1c on knee OA risk.

Associations between obesity, diabetes mellitus, and cardiovascular disease with progression states of knee osteoarthritis (KOA)

BACKGROUND

Data on common comorbidities targeting at different progression states of knee osteoarthritis (KOA) in continuous time are limited.

AIMS

To examine the associations between obesity, diabetes mellitus (DM), and cardiovascular disease (CVD) with the progression of KOA.

METHODS

Data were obtained from the Osteoarthritis Initiative for up to 48 months. Progression states of KOA were defined as (1) normal; (2) asymptomatic radiographic KOA (RKOA, Kellgren-Lawrence grade ≥ 2 in at least one knee); (3) only knee symptoms; (4) symptomatic KOA (SxKOA, a combination of RKOA and knee symptoms in the same knee). A multi-state Markov model was used to investigate the associations while accounting for potential confounders.

RESULTS

Participants with obesity had an increased risk of developing RKOA [normal to asymptomatic RKOA, adjusted hazard ratio (aHR) 1.55, 95% confidence interval (95% CI) (1.07, 2.24); only knee symptoms to SxKOA, aHR 2.25, 95% CI (1.60, 3.18)], and an increased risk of developing knee symptoms [normal to only knee symptoms, aHR 1.45, 95% CI (1.15, 1.83); asymptomatic RKOA to SxKOA, aHR 1.33, 95% CI (1.16, 1.52)]. DM was also significantly associated with development of RKOA or knee symptoms [normal to asymptomatic RKOA, aHR 1.92, 95% CI (1.12, 3.30); normal to only knee symptoms, aHR 1.78, 95% CI (1.12, 2.84)]. Knee symptoms were less likely to be relieved among participants with CVD, compared with those without [only knee symptoms to normal, aHR 0.60, 95% CI (0.38, 0.94)].

CONCLUSIONS

Obesity, DM and CVD are associated with an increased risk for SxKOA progression. Common comorbidities should be considered to prevent KOA development.

Environmental Risk Factors for Osteoarthritis: The Impact on Individuals with Knee Joint Injury

Osteoarthritis is a debilitating chronic condition involving joint degeneration, impacting over 300 million people worldwide. This places a high social and economic burden on society. The knee is the most common joint impacted by osteoarthritis. A common cause of osteoarthritis is traumatic joint injury, specifically injury to the anterior cruciate ligament. The purpose of this review is to detail the non-modifiable and modifiable risk factors for osteoarthritis with particular focus on individuals after anterior cruciate ligament injury. After reading this, health care providers will better comprehend the wide variety of factors linked to osteoarthritis.

Osteoarthritis: New Insight on Its Pathophysiology

Understanding of the basis of osteoarthritis (OA) has seen some interesting advancements in recent years. It has been observed that cartilage degeneration is preceded by subchondral bone lesions, suggesting a key role of this mechanism within the pathogenesis and progression of OA, as well as the formation of ectopic bone and osteophytes. Moreover, low-grade, chronic inflammation of the synovial lining has gained a central role in the definition of OA physiopathology, and central immunological mechanisms, innate but also adaptive, are now considered crucial in driving inflammation and tissue destruction. In addition, the role of neuroinflammation and central sensitization mechanisms as underlying causes of pain chronicity has been characterized. This has led to a renewed definition of OA, which is now intended as a complex multifactorial joint pathology caused by inflammatory and metabolic factors underlying joint damage. Since this evidence can directly affect the definition of the correct therapeutic approach to OA, an improved understanding of these pathophysiological mechanisms is fundamental. To this aim, this review provides an overview of the most updated evidence on OA pathogenesis; it presents the most recent insights on the pathophysiology of OA, describing the interplay between immunological and biochemical mechanisms proposed to drive inflammation and tissue destruction, as well as central sensitization mechanisms. Moreover, although the therapeutic implications consequent to the renewed definition of OA are beyond this review scope, some suggestions for intervention have been addressed.

Association between diabetes mellitus, hypertension, and knee osteoarthritis in secondary referral hospitals in Indonesia with retrospective cross-sectional study

Introduction

Osteoarthritis is a disease with degenerative joints. There are some risk factors for osteoarthritis, including age, gender, diabetes mellitus, smoking, and hypertension. The preview study also showed a relationship between osteoarthritis and diabetes mellitus. Besides diabetes mellitus, hypertension may be a risk factor for osteoarthritis. However, research about the relationship between diabetes mellitus and hypertension based on the degree of osteoarthritis is still controversial. This study aims to determine the association between diabetes mellitus and hypertension with the severity of knee osteoarthritis in general and based on gender.

Methods

This research used a retrospective cross-sectional research study with a sample size of 35 patients in Orthopaedic and Traumatology in East Java, who suffered from knee osteoarthritis. Data was collected with medical records, the questionnaire, and the Kellgren & Lawrence system to assess the grade of knee osteoarthritis.

Results

The Chi-Square test results showed no significant relationship (p > 0.05) between diabetes mellitus and hypertension on the severity of osteoarthritis, both in general and by gender.

Conclusion

This study concludes that there is no association between diabetes mellitus and hypertension on the severity of knee osteoarthritis between male and female patients.

High Body Mass Index Is Associated with an Increased Risk of the Onset and Severity of Ossification of Spinal Ligaments

Background

Ossification of the posterior longitudinal ligament (OPLL) and that of ligamentum flavum (OLF) are the main types of the ossification of spinal ligaments (OSL) that cause the thoracic myelopathy. Although several studies have investigated the relationship of body mass index (BMI) with the onset or severity of OSL, it remains unverified due to the contradictory results of existing evidence. A systematic review and meta-analysis were performed in this work to determine the relationship of BMI with the onset and severity of OSL.

Methods

PubMed, EMBASE, Web of Science, and Cochrane Library were comprehensively searched online for relevant studies focusing on the relationship of BMI with the onset or severity of the OSL. The difference in BMI of OSL (or severe OSL group) and non-OSL (or nonsevere OSL group) groups was evaluated using the mean difference (MD) with a corresponding 95% confidence interval (CI).

Results

Fifteen studies were included in this systematic review and meta-analysis. The BMI of the OSL group was significantly higher than that of the non-OSL group (MD = 1.70 kg/m², 95% CI = 1.02–2.39 kg/m², and P < 0.01). Similar results were observed in the subgroup analysis of female (P < 0.01), OPLL (P < 0.01), and OLF (P < 0.01) populations. Three studies reported a significant association of BMI with the ossification index of OSL and the standardized regression coefficient ranging from 0.11 to 0.43 (P < 0.05). Moreover, a significantly higher BMI was observed in the severe OSL group compared with that in the nonsevere OSL group (MD = 3.09, 95% CI, 0.22–5.97 kg/m², and P = 0.04).

Conclusion

The significant association of high BMI with the onset and severity of OSL may provide new evidence and insights into the mechanism research and management of OSL.

Obesity, Inflammation, and Immune System in Osteoarthritis

Obesity remains the most important risk factor for the incidence and progression of osteoarthritis (OA). The leading cause of OA was believed to be overloading the joints due to excess weight which in turn leads to the destruction of articular cartilage. However, recent studies have proved otherwise, various other factors like adipose deposition, insulin resistance, and especially the improper coordination of innate and adaptive immune responses may lead to the initiation and progression of obesity-associated OA. It is becoming increasingly evident that multiple inflammatory cells are recruited into the synovial joint that serves an important role in pathological changes in the synovial joint. Polarization of macrophages and macrophage-produced mediators are extensively studied and linked to the inflammatory and destructive responses in the OA synovium and cartilage. However, the role of other major innate immune cells such as neutrophils, eosinophils, and dendritic cells in the pathogenesis of OA has not been fully evaluated. Although cells of the adaptive immune system contribute to the pathogenesis of obesity-induced OA is still under exploration, a quantity of literature indicates OA synovium has an enriched population of T cells and B cells compared with healthy control. The interplay between a variety of immune cells and other cells that reside in the articular joints may constitute a vicious cycle, leading to pathological changes of the articular joint in obese individuals. This review addresses obesity and the role of all the immune cells that are involved in OA and summarised animal studies and human trials and knowledge gaps between the studies have been highlighted. The review also touches base on the interventions currently in clinical trials, different stages of the testing, and their shortcomings are also discussed to understand the future direction which could help in understanding the multifactorial aspects of OA where inflammation has a significant function.

Interactions between diabetes mellitus and osteoarthritis; from animal studies to clinical data

Diabetes mellitus (DM) and osteoarthritis (OA) are commonly known metabolic diseases that affect a large segment of the world population. These two conditions share several risk factors such as obesity and aging; however, there is still no consensus regarding the direct role of DM on OA development and progression. Interestingly, both animal and human studies have yielded conflicting results, with some showing a significant role for DM in promoting OA, while others found no significant interactions between these conditions. In this review, we will discuss preclinical and clinical data that assessed the interaction between DM and OA. We will also discuss possible mechanisms associated with the effect of high glucose on the articular cartilage and chondrocytes. An emerging theme dominates the breath of published work in this area: most of the studies discussed in this review do not take into consideration the role of other factors such as the type of diabetes, age, biological sex, type of animal model, body mass index, and the use of pain medications when analyzing and interpreting data. Therefore, future studies should be more rigorous when designing experiments looking at DM and its effects on OA and should carefully account for these confounding factors, so that better approaches can be developed for monitoring and treating patients at risk of OA and DM. © 2022 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.

Association between type 2 diabetes status and osteoarthritis in adults aged ≥ 50 years

BACKGROUND

Increasingly, studies have addressed the possible association between type 2 diabetes mellitus (T2DM) and osteoarthritis (OA), although this remains an issue of controversy. Our aim in this study was to investigate the association between T2DM and OA among 7781 adults ≥50 years of age, through a cross-sectional analysis of the National Health and Nutrition Examination Survey from 2011 through 2018.

METHODS

Amultivariable logistic regression model was used to evaluate the association between T2DM or prediabetes status and OA, with subgroup analyses performed, stratified by age, sex, body mass index (BMI), and race.

RESULTS

Of the 7781 participants enrolled, 1567 (20.1%) had T2DM, 3131 (40.3%) had prediabetes, and 3083 (39.6%) were normal. A significant positive association was identified between T2DM and OA, after adjusting for age, sex, and race. This association, however, was no longer significant after adjusting for BMI. In the fully-adjusted model, there were no significant association between T2DM and OA.

CONCLUSIONS

Our findings showed no association between T2DM and OA. The association between T2DM and OA can be strongly confounded by BMI.

Association Between Prediabetes and Osteoarthritis: A Meta-Analysis

Some studies have suggested that diabetes may be a risk factor for osteoarthritis. However, whether prediabetes is also associated with osteoarthritis has not been comprehensively examined. We performed a meta-analysis to evaluate the relationship between prediabetes and osteoarthritis. This meta-analysis included relevant observational studies from Medline, Embase, and Web of Science databases. A random-effect model after incorporation of the intra-study heterogeneity was selected to pool the results. Ten datasets from six observational studies were included, which involved 41 226 general adults and 10 785 (26.2%) of them were prediabetic. Pooled results showed that prediabetes was not independently associated with osteoarthritis [risk ratio (RR): 1.07, 95% confidence interval (CI): 1.00 to 1.14, p=0.06, I²=0%]. Sensitivity limited to studies with adjustment of age and body mass index showed consistent result (RR: 1.06, 95% CI: 0.99 to 1.14, p=0.09, I²=0%). Results of subgroup analyses showed that prediabetes was not associated with osteoarthritis in cross-sectional or cohort studies, in studies including Asian or non-Asian population, or in studies with different quality scores (p for subgroup difference>0.10). Besides, prediabetes was not associated with osteoarthritis in men or in women, in studies with prediabetes defined as impaired fasting glucose, impaired glucose tolerance, or HbA1c (approximately 39-46 mmol/mol). Moreover, prediabetes was not associated with overall osteoarthritis, and knee or hip osteoarthritis. Current evidence does not support that prediabetes is independently associated with osteoarthritis in adult population.

Diabetic hand: prevalence and incidence of diabetic hand problems using data from 1.1 million inhabitants in southern Sweden

INTRODUCTION

'The diabetic hand' has traditionally referred to hand complications due to diabetes mellitus (DM), including trigger finger (TF) and Dupuytren's disease (DD). Recent publications have also proposed DM as a risk factor for carpal tunnel syndrome (CTS), ulnar nerve entrapment (UNE), and possibly osteoarthritis (OA) of the first carpometacarpal (CMC-1) joint. This study aimed to explore prevalence and incidence of diabetic hand complications among the population in southern Sweden.

RESEARCH DESIGN AND METHODS

Approximately 1.1 million inhabitants in the region of Skåne aged ≥18 years, whereof 50 000 with DM, were included. Data on incident CTS, UNE, TF, DD, and OA of the CMC-1 joint between 2004 and 2019 were collected from the Skåne Healthcare Register and cross-linked with the National Diabetes Register. Prevalences on December 31, 2019 and 10-year incidence ratios were calculated for type 1 diabetes (T1D), type 2 diabetes (T2D), and the population without DM, stratified for sex. Prevalence ratios and incidence rate ratios with 95% CIs were used for group comparisons.

RESULTS

The prevalences of all five studied diagnoses were higher in both men and women with T1D and T2D (p<0.01) and both T1D and T2D had more concomitant prevalent diagnoses (p<0.0001). The 10-year incidence rates of all diagnoses were higher among T1D and T2D (p<0.0001), except OA of the CMC-1 joint in men with T1D (p=0.055).

CONCLUSIONS

CTS, UNE, and possibly also OA of the CMC-1 joint should be included together with TF and DD when referring to 'the diabetic hand'. The incidence of hand disorders was up to eight times higher among T1D, and both T1D and T2D had more concomitant prevalent diagnoses compared with the population without DM. Future studies should elucidate the pathophysiology behind diabetic hand complications to enable development of effective preventive measures in patients with diabetes.

Investigating the Association of Metabolic Biomarkers With Knee Cartilage Composition and Structural Abnormalities Using MRI: A Pilot Study

OBJECTIVE

The goal of this study was to explore the metabolic syndrome-associated phenotype of osteoarthritis by investigating the cross-sectional associations of glycemic markers and serum lipids with knee cartilage composition and structural abnormalities in middle-aged adults.

DESIGN

Twenty participants between 40 to 70 years of age with Kellgren-Lawrence score 0-1 in at least one knee were recruited at a single center. Knee cartilage composition was assessed using 3.0 T cartilage T₂ and T_1ρ mapping. Evaluation of structural knee abnormalities was performed using the modified Whole-Organ Magnetic Resonance Imaging Score (WORMS). Linear regression was used to assess the associations of standardized fasting glucose (FG), hemoglobin A1c (HbA1c), insulin, total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), non-HDL cholesterol, and triglycerides with cartilage T₂ and T_1ρ as well as WORMS subscores, adjusting for body mass index.

RESULTS

Higher FG and higher HbA1c were associated with higher WORMS meniscus sum (beta coefficient 1.31 [95% confidence interval (CI): 0.57, 2.05], P = 0.002 per standard deviation [SD] increase in FG; beta coefficient 0.90 [95% CI: 0.07, 1.73], P = 0.035 per SD increase in HbA1c). Also, higher total cholesterol and higher non-HDL cholesterol were associated with higher WORMS cartilage sum (beta coefficient 0.94 [95% CI: 0.01, 1.86], P = 0.048 per SD increase in total cholesterol; beta coefficient 1.05 [95% CI: 0.14, 1.96], P = 0.03 per SD increase in non-HDL cholesterol).

CONCLUSIONS

Higher FG and HbA1c were associated with increased meniscal degeneration while higher total and non-HDL cholesterol were associated with increased cartilage degeneration.

Osteoarthritis year in review 2020: epidemiology & therapy

This personal choice of research themes and highlights from within the past year (1 May 2019 to 14 April 2020) spans descriptive, analytical-observational, and intervention studies. Descriptive estimates of the burden of osteoarthritis continue to underscore its position as a leading cause of disability worldwide, but whose burden is often felt greatest among disadvantaged and marginalised communities. Many of the major drivers of that burden are known but epidemiological studies continue the important work of elaborating on their timing, dose, specificity, and reversibility and placing them within an appropriate multi-level framework. A similar process of elaboration is seen also in studies (re-)estimating the relative benefits and risks of existing interventions, in some cases helping to identify low-value care, unwarranted variation, and initiating processes of deprescribing and decommissioning. Such research need not engender therapeutic nihilism. Our review closes by highlighting some emerging evidence on the efficacy and safety of novel therapeutic interventions and with a selective roll-call of methodological and meta-research in OA illustrating the continued commitment to improving research quality.

Metabolic syndrome and the incidence of knee osteoarthritis: A meta-analysis of prospective cohort studies

Background

Cross-sectional studies suggest an association between metabolic syndrome (MetS) and knee osteoarthritis (KOA). We performed a meta-analysis to evaluate whether MetS is an independent risk factor for KOA.

Methods

Prospective cohort studies evaluating the association between MetS and KOA in general population were retrieved from PubMed and Embase. Only studies with multivariate analyses were included. Data were pooled with a random-effect model, which is considered to incorporate heterogeneity among the included studies.

Results

Five studies including 94,965 participants were included, with 18,990 people with MetS (20.0%). With a mean follow-up duration of 14.5 years, 2,447 KOA cases occurred. Pooled results showed that MetS was not significant associated with an increased risk of KOA after controlling of factors including body mass index (adjusted risk ratio [RR]: 1.06, 95% CI: 0.92~1.23, p = 0.40; I² = 33%). Subgroup analysis showed that MetS was independently associated with an increased risk of severe KOA that needed total knee arthroplasty (RR = 1.16, 95% CI: 1.03~1.30, p = 0.02), but not total symptomatic KOA (RR = 0.84, 95% CI: 0.65~1.08, p = 0.18). Stratified analyses suggested that MetS was independently associated with an increased risk of KOA in women (RR = 1.23, 95% CI: 1.03~1.47, p = 0.02), but not in men (RR = 0.90, 95% CI: 0.70~1.14, p = 0.37).

Conclusions

Current evidence from prospective cohort studies did not support MetS was an independent risk factor of overall KOA in general population. However, MetS may be associated with an increased risk of severe KOA in general population, or overall KOA risk in women.