Does subclinical inflammation contribute to impairment of function of knee joints in aged individuals? High prevalence of ultrasound inflammatory findings.

OBJECTIVES: To investigate the prevalence of knee US findings of inflammation and structural damage in aged individuals (≥60 years) of a long-term population-based cohort and to correlate these findings with demographic, clinical and laboratory parameters. METHODS: Cross-sectional clinical and US investigation of both knee joints during the 2010 follow-up of the prospective population-based Bruneck Study. Demographic variables, physical activity, comorbidities, medications, pain, and functional scales related to the knee joints were recorded. US-assessed parameters were synovial hypertrophy, power Doppler signal, joint effusion, cartilage abnormalities, osteophytes, enthesopathy and bursitis. Statistics included univariate and multivariate regression analysis. RESULTS: A total of 488 subjects (mean age 72.5 years; 53.5% females, 46.5% males) were examined by clinical assessment, and 433 of these underwent US examination of both knees. Both inflammatory and structural abnormalities were found in 296 (68.8%) subjects. Inflammatory abnormalities were significantly associated with age in years, male gender, diabetes and the presence of knee joint symptoms. In the multivariate analysis, age, male gender and knee swelling emerged as independent predictors of inflammation [odds ratio (OR) (95% CI) = 1.06 (1.03, 1.09), 2.55 (1.55, 4.21) and 5.92 (1.99, 17.58), respectively]. CONCLUSION: The present study showed a high prevalence of US inflammatory abnormalities in the knee joints of a normal aged population. These data suggest a substantial contribution of inflammation in progressive impairment of joint function with age.

Diabetes is an independent predictor for severe osteoarthritis: results from a longitudinal cohort study.

OBJECTIVE: To evaluate if type 2 diabetes is an independent risk predictor for severe osteoarthritis (OA). RESEARCH DESIGN AND METHODS: Population-based cohort study with an age- and sex-stratified random sample of 927 men and women aged 40-80 years and followed over 20 years (1990-2010). RESULTS: Rates of arthroplasty (95% CI) were 17.7 (9.4-30.2) per 1,000 person-years in patients with type 2 diabetes and 5.3 (4.1-6.6) per 1,000 person-years in those without (P < 0.001). Type 2 diabetes emerged as an independent risk predictor for arthroplasty: hazard ratios (95% CI), 3.8 (2.1-6.8) (P < 0.001) in an unadjusted analysis and 2.1 (1.1-3.8) (P = 0.023) after adjustment for age, BMI, and other risk factors for OA. The probability of arthroplasty increased with disease duration of type 2 diabetes and applied to men and women, as well as subgroups according to age and BMI. Our findings were corroborated in cross-sectional evaluation by more severe clinical symptoms of OA and structural joint changes in subjects with type 2 diabetes compared with those without type 2 diabetes. CONCLUSIONS: Type 2 diabetes predicts the development of severe OA independent of age and BMI. Our findings strengthen the concept of a strong metabolic component in the pathogenesis of OA.

Ankylosing spondylitis is characterized by an increased turnover of several different metalloproteinase-derived collagen species: a cross-sectional study.

Ankylosing spondylitis (AS) is characterized by gradual cementation of the vertebrae, a process that is described by excessive extracellular matrix remodeling. Specific matrix metalloproteinase (MMP)-derived collagen fragments are released to the circulation, and measurement of those might act as biomarkers of ankylosis. The aim of the study was to investigate the diagnostic value of five novel assays measuring different collagen species. Five newly developed ELISAs measuring MMP-degraded collagen fragments in serum of 40 AS patients and 40 age-matched controls were measured: collagen type I (C1M), type II (C2M), type III (C3M), type IV (C4M) and type VI (C6M) as well as the bone formation marker osteocalcin. The levels of the five collagen neoepitopes were significantly higher in AS patients, except for osteocalcin. Cartilage degradation (C2M) was only significantly correlated with the basement membrane (C4M) in the AS patients. In contrast, C3M was significantly correlated with all of the other collagen markers. The highest diagnostic value was achieved when combining the C2M, C3M and C6M markers, AUC 87% (P < 0.0001). Moreover, a combination of the markers correlated with the clinical mSASS score (P = 0.004, R = 0.44). Novel and unique biomarkers of tissue remodeling may provide diagnostic value and aid in understanding of the AS pathology. Each of the biomarkers tells a unique story, and by combining them in a panel there, we found a strong correlation with mSASSS. We speculate that such panel will be a valuable tool for monitoring patients as effect of treatment, for the prediction of responders and for diagnostic purposes.