scholarly journals Biochemical markers identify influences on bone and cartilage degradation in osteoarthritis - the effect of sex, Kellgren-Lawrence (KL) score, Body Mass Index (BMI), oral salmon calcitonin (sCT) treatment and diurnal variation

2010 ◽  
Vol 11 (1) ◽  
Author(s):  
MA Karsdal ◽  
I Byrjalsen ◽  
AC Bay-Jensen ◽  
K Henriksen ◽  
BJ Riis ◽  
...  
Author(s):  
Mallikarjunaswamy Shivagangadharaiah Matada ◽  
Mallikarjun Sayabanna Holi ◽  
Rajesh Raman ◽  
Sujana Theja Jayaramu Suvarna

Background: Osteoarthritis (OA) is a degenerative disease of joint cartilage affecting the elderly people around the world. Visualization and quantification of cartilage is very much essential for the assessment of OA and rehabilitation of the affected people. Magnetic Resonance Imaging (MRI) is the most widely used imaging modality in the treatment of knee joint diseases. But there are many challenges in proper visualization and quantification of articular cartilage using MRI. Volume rendering and 3D visualization can provide an overview of anatomy and disease condition of knee joint. In this work, cartilage is segmented from knee joint MRI, visualized in 3D using Volume of Interest (VOI) approach. Methods: Visualization of cartilage helps in the assessment of cartilage degradation in diseased knee joints. Cartilage thickness and volume were quantified using image processing techniques in OA affected knee joints. Statistical analysis is carried out on processed data set consisting of 110 of knee joints which include male (56) and female (54) of normal (22) and different stages of OA (88). The differences in thickness and volume of cartilage were observed in cartilage in groups based on age, gender and BMI in normal and progressive OA knee joints. Results: The results show that size and volume of cartilage are found to be significantly low in OA as compared to normal knee joints. The cartilage thickness and volume is significantly low for people with age 50 years and above and Body Mass Index (BMI) equal and greater than 25. Cartilage volume correlates with the progression of the disease and can be used for the evaluation of the response to therapies. Conclusion: The developed methods can be used as helping tool in the assessment of cartilage degradation in OA affected knee joint patients and treatment planning.


2019 ◽  
Vol 70 (5) ◽  
pp. 1615-1618
Author(s):  
Mara Carsote ◽  
Smaranda Adelina Preda ◽  
Mihaela Mitroi ◽  
Adrian Camen ◽  
Lucretiu Radu

This is a clinical study on 56 subjects included in normal weight (NW) group (N=17), overweight (OW) group (N=19) and grade I obese (O) group (N=20), based on BMI (Body Mass Index) values: NW group had a mean BMI of 22.2 � 2.14 kg/sqm, OW group had a BMI of 25.89 � 1.04 kg/sqm, and O group had an average BMI of 32.2 � 2.09 kg/sqm (p-value NW-OW, NW-O, respective OW-O groups was p[0.0005). The 3 groups were similar as age (p-value NW-OW groups = 0.7, between NW- O groups = 0.8, respective between OW - O group = 0.7). The circulating bone formation (osteocalcin, P1NP alkaline phosphatase) and resorption profile (CrossLaps) indicated no statistical significant difference between groups while the coefficient of regression r between each biochemical bone marker and BMI in every BMI group exceeded the value of p]0.05. All the 3 groups had a mean value of 25-hydroxycholecalciferol in deficiency ranges ([ 30 ng/mL, normal recommended values are above 30 ng/mL) without significant differences regarding BMI groups, except for obese group when compare to the other two groups. No secondary hyperparathyroidism was associated in any group despite low vitamin D levels. Based on our observation, bone turnover biochemical markers are not influenced by BMI.


2019 ◽  
Vol 7 (8) ◽  
pp. 232596711986708 ◽  
Author(s):  
◽  
Morgan H. Jones ◽  
Sameer R. Oak ◽  
Jack T. Andrish ◽  
Robert H. Brophy ◽  
...  

Background: Multiple studies have shown that patients are susceptible to posttraumatic osteoarthritis (PTOA) after an anterior cruciate ligament (ACL) injury, even with ACL reconstruction (ACLR). Prospective studies using multivariable analysis to identify risk factors for PTOA are lacking. Purpose/Hypothesis: This study aimed to identify baseline predictors of radiographic PTOA after ACLR at an early time point. We hypothesized that meniscal injuries and cartilage lesions would be associated with worse radiographic PTOA using the Osteoarthritis Research Society International (OARSI) atlas criteria. Study Design: Cohort study; Level of evidence, 3. Methods: A total of 421 patients who underwent ACLR returned on-site for standardized posteroanterior semiflexed knee radiography at a minimum of 2 years after surgery. The mean age was 19.8 years, with 51.3% female patients. At baseline, data on demographics, graft type, meniscal status/treatment, and cartilage status were collected. OARSI atlas criteria were used to grade all knee radiographs. Multivariable ordinal regression models identified baseline predictors of radiographic OARSI grades at follow-up. Results: Older age (odds ratio [OR], 1.06) and higher body mass index (OR, 1.05) were statistically significantly associated with a higher OARSI grade in the medial compartment. Patients who underwent meniscal repair and partial meniscectomy had statistically significantly higher OARSI grades in the medial compartment (meniscal repair OR, 1.92; meniscectomy OR, 2.11) and in the lateral compartment (meniscal repair OR, 1.96; meniscectomy OR, 2.97). Graft type, cartilage lesions, sex, and Marx activity rating scale score had no significant association with the OARSI grade. Conclusion: Older patients with a higher body mass index who have an ACL tear with a concurrent meniscal tear requiring partial meniscectomy or meniscal repair should be advised of their increased risk of developing radiographic PTOA. Alternatively, patients with an ACL tear with an articular cartilage lesion can be reassured that they are not at an increased risk of developing early radiographic knee PTOA at 2 to 3 years after ACLR.


2010 ◽  
Vol 18 (2) ◽  
pp. 150-159 ◽  
Author(s):  
M.A. Karsdal ◽  
I. Byrjalsen ◽  
K. Henriksen ◽  
B.J. Riis ◽  
E.M. Lau ◽  
...  

2010 ◽  
Vol 35 (4) ◽  
pp. 570-577 ◽  
Author(s):  
Y S Han ◽  
E H Ha ◽  
H S Park ◽  
Y J Kim ◽  
S S Lee

2013 ◽  
Vol 59 (6) ◽  
pp. 293-297 ◽  
Author(s):  
Man Lidia ◽  
Pitea Ana Maria ◽  
Chinceșan Mihaela Ioana ◽  
Man A ◽  
Mărginean Oana ◽  
...  

Abstract Objective: To evaluate the anthropometric and biochemical status of children with nutritional deficiency. Methods: We have conducted a prospective study on 226 children admitted in Pediatric Clinic I, divided into two groups: one group of 49 children with nutritional deficiency (body-mass-index < -2SD) and one control group (177 children). We have followed demographic data, anthropometric indices evaluated as standard deviations (weight, height, middle upper-arm circumference, tricipital skinfold), biochemical proteic status (Insulin-like Growth Factor 1 IGF-1, albumin, total proteins). We also followed parameters of general nutritional biochemistry. Results: The mean age for underweight children was 5.8 years, lower than in the control group. The weight of the nutritional-deficient group was significantly lower than in the control group, unlike the height (p <0.001). We have also found significant differences in body-mass-index, middle upper-arm circumference and tricipital skinfold, all of them with low SDs in children with nutritional deficiency. Regarding the biochemical markers, we have found significantly higher values of transaminases (p <0.001) and lower IGF-1 (p = 0.02) and total proteins (p = 0.013) in nutritional-deficient group. Most IGF-1 values were in normal range in both groups, but with a higher percent of low values in nutritional deficient children (37.5% vs 14.2%, p = 0.0046). There were no significant differences in height, albumin, cholesterol, triglyceride and glucose levels between the two groups. Conclusions: The anthropometric measurements are the most precise methods in evaluating the nutritional status. Among the studied biochemical markers, IGF-1, total proteins and transaminases are correlated with nutritional deficiencies


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