The influence of aging on the association between adiposity and bone mineral density in Jordanian postmenopausal women.

The objective of this study was to assess the relative association between body weight, body mass index (BMI), lean mass (LM) and fat mass (FM), and bone mineral density (BMD) in a group of Jordanian postmenopausal women and investigate if this possible association changes with age. A total of 3256 patients had dual-energy X-ray absorptiometry (DXA) scan in the period from January 2009 till January 2012 at the Radiology and Nuclear Medicine Department of Jordan University Hospital. Only 584 women met the selection criteria. Age has been recorded, and patients were divided into subgroups according to age. Body weight and height were measured, and BMI was calculated. Body composition (LM, FM, percentage of android fat, and percentage of gynoid fat) was assessed by DXA. BMD of the lumbar spine (L1-L4) and femoral neck was measured by DXA. Weight, BMI, FM, LM, percentage of android fat, and percentage of gynoid fat were positively correlated to BMD at both lumbar spine and femoral neck. However, this correlation disappeared at the age of 70 yr at lumbar spine and 75 yr at femoral neck. This study suggests that both FM and LM are important determinants of BMD in Jordanian postmenopausal women, and this correlation disappears after the age of 70 yr at lumbar spine and 75 yr at femoral neck.

Botulinum toxin type-A in the management of spastic equinovarus deformity after stroke. Comparison of 2 injection techniques.

OBJECTIVE: To retrospectively compare 2 injection techniques in the management of spastic equinovarus deformity after stroke. METHODS: Patients with stroke were seen at King Hussein Medical Center, Amman, Jordan between January and December 2009. The study design involved an open label retrospective analysis of medical records of 2 groups of comparable age and onset of first stroke. Botulinum toxin was injected into the calf muscles at 2 sites in group I (12 patients) and 4 sites in group II (14 patients). Functional gain was evaluated by the time to walk 10 meters at month one, 3, and 6 compared with baseline. RESULTS: There was significant improvement in walking time in each study group. However, there was no significant difference between the 2 groups as measured by the 10-meter walking time. CONCLUSION: Fewer injection sites would minimize patient discomfort and possibly the production of antibodies, yielding similar therapeutic effects.

Development of a decision support system to predict physicians' rehabilitation protocols for patients with knee osteoarthritis.

To design a medical decision support system (MDSS) that would accurately predict the rehabilitation protocols prescribed by the physicians for patients with knee osteoarthritis (OA) using only their demographic and clinical characteristics. The demographic and clinical variables for 170 patients receiving one of three treatment protocols for knee OA were entered into the MDSS. Demographic variables in the model were age and sex. Clinical variables entered into the model were height, weight, BMI, affected side, severity of knee OA, and severity of pain. All patients in the study received one of three treatment protocols for patients with knee OA: (a) hot packs, followed by electrotherapy and exercise, (b) ice packs, followed by ultrasound and exercise and (c) exercise alone. The resilient back propagation artificial neural network algorithm was used, with a ten-fold cross-validation. It was estimated that the MDSS is able to accurately predict the treatment prescribed by the physician for 87% of the patients. We developed an artificial neural network-based decision support system that can viably aid physicians in determining which treatment protocol would best match the anthropometric and clinical characteristics of patients with knee OA.