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Objective: To describe in detail the arterial vasculature of metacarpophalangeal joints 2-5 on cadaver specimens and to compare it to ultrasound imaging of healthy subjects. Methods: Eighteen hands of donated human cadavers were arterially injected and investigated with either corrosion casting or cryosectioning. Each layer of cryosectioned specimens was photographed in high-resolution. Images were then segmented for arterial vessels of the metacarpophalangeal (MCP) joints 2-5. The arterial pattern of the joints was reconstructed from the segmented images and from the corrosion cast specimens. Both hands of ten adult healthy volunteers were scanned focusing on the vasculature of the same joints with high-end ultrasound imaging, including color Doppler. Measurements were made on both cryosectioned arteries and Doppler images. Results: The arterial supply of MCP joints 2-5 divides into a metacarpal and a phalangeal territory, respectively. The metacarpal half receives arteries from the palmar metacarpal arteries or proper palmar digital arteries, while the phalangeal half is supplied by both proper and common palmar digital arteries. Comparing anatomical and ultrasonographic results, we determined the exact anatomic location of normal vessels using Doppler images acquired of healthy joints. All, except three branches, were found with less than 50% frequency using ultrasound. Doppler signals were identified significantly more frequently in MCP joints 2-3 than on 4-5 (p < 0.0001). Similarly, Doppler signals differed in the number of detectable small, intraarticular vessels (p < 0.009), but not that of the large extraarticular ones (p < 0.1373). When comparing measurements acquired by ultrasound and on cadaver vessels, measurements using the former technique were found to be larger in all joints (p < 0.0001). Conclusion: Using morphological and ultrasonographic techniques, our study provides a high-resolution anatomical maps and an essential reference data set on the entire arterial vasculature of healthy human MCP 2-5 joints. We found that Doppler signal could be detected in less than 50% of the vessels of healthy volunteers except three locations. Intraarticular branches were detected with ultrasound imaging significantly more frequently on healthy MCP 2-3 joints, which should be taken into account when inflammatory and normal Doppler signals are evaluated. Our study also provides reference data for future, higher-resolution imaging techniques.
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INTRODUCTION: Osteoarthritis (OA) as the most common joint disease is a major public health concern. AIM: To investigate the effect of multimorbidity on functional and quality of life outcomes in women with generalized osteoathritis (hand and knee arthritis, GOA). METHOD: In this cross-sectional study, patients according to the American College of Rheumatology (ACR) criteria for OA were invited. The control group consisted of subjects without any musculoskeletal symptoms, osteoarthritis or inflammatory rheumatic disease. Comorbidity count was calculated from the investigated comorbidities. In the GOA group, the function was assessed by Western Ontario and McMaster Universities Arthritis Index (WOMAC), Cochin Hand Scale, Knee Injury and Osteoarthritis Outcome Score (KOOS), Health Assessment Questionnaire (HAQ), while quality of life was measured in both groups with the EuroQol-5D Scale. Interaction between summarized comorbidity count, age, body mass index (BMI) and scores were analysed. Descriptive statistics, two-sample t-test and Pearson's correlation test were used for data analysis. RESULTS: The study groups included 200-200 participants with a similar age spread. Significant correlation was demonstrated in both study groups between higher comorbidity count and older age (0.37, p<0.001, and 0.24, p<0.001 in the GOA and the control group, respectively) and higher BMI (0.18, p: 0.01, and 0.45, p<0.001 in the GOA and the control group, respectively). In GOA, the increasing comorbidity number had a negative effect on the measured outcomes. CONCLUSIONS: Age and BMI showed strong correlation with multimorbidity in both groups. The lower correlation between BMI and comorbidity count in the GOA group requires further investigation and may suggest different interactions. Orv Hetil. 2020; 161(32): 1332-1340.
