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There are data underlining the relationship between muscle health and spine related pathology, but little data regarding changes in paralumbar muscle associated with lumbar spondylolisthesis. We aimed to define changes in paralumbar muscle health associated with spondylolisthesis.
A retrospective review was performed on consecutive patients with lumbar spine pathology requiring an operation. A pre-operative lumbar MRI was analysed for muscle health measurements including lumbar indentation value (LIV), paralumbar cross-sectional area divided by body mass index (PL-CSA/BMI), and Goutallier classification of fatty atrophy. All measurements were taken from an axial slice of a T2-weighted image at lumbar disc spaces. Baseline health-related quality of life scores (HRQOLs), narcotic use and areas of stenosis were tracked. We performed Chi-square analyses and student's t test to determine statistically significant differences between cohorts.
There were 307 patients (average age 56.1 ± 16.7years, 141 females) included within our analysis. 112 patients had spondylolisthesis. There were no differences in baseline HRQOLs between the spondylolisthesis cohort (SC) and non-spondylolisthesis cohort (non-SC). There were significantly worse PL-CSA/BMI at L2-L3 (p = 0.03), L3-L4 (p = 0.04) and L4-L5 (p = 0.02) for the SC. Goutallier classification of paralumbar muscle was worse for SC at L1-L2 (p = 0.04) and at L4-L5 (p < 0.001). Increased grade of spondylolisthesis was associated with worse PL-CSA at L1-L2 (p = 0.02), L2-L3 (p = 0.03) and L3-L4 (p = 0.05). Similarly, there were worse Goutallier classification scores associated with higher-grade spondylolisthesis at all levels (p < 0.05).
There are significant detrimental changes to paralumbar muscle health throughout the lumbar spine associated with spondylolisthesis.
There are significant detrimental changes to paralumbar muscle health throughout the lumbar spine associated with spondylolisthesis.
No reference material exists on the scope of long-term problems in novel spinal pain opioid users. In this study, we evaluate the prevalence and long-term use of prescribed opioids in patients of the Spinal Pain Opioid Cohort.
The setting was an outpatient healthcare entity (Spine Center). Prospective variables include demographics, clinical data collected in SpineData, and The Danish National Prescription Registry. Patients with a new spinal pain episode lasting for more than two months, aged between 18 and 65years, who had their first outpatient visit. Based on the prescription of opioids from 4years before the first spine center visit to 5years after, six or more opioid prescriptions in a single 1-year interval fulfilled the main outcome criteria Long-Term Opioid Therapy (LTOT).
Overall, of 8356 patients included in the cohort, 4409 (53%) had one or more opioid prescriptions in the registered nine years period. Of opioid users, 2261 (27%) were NaiveStarters receiving their first opioid prescription after a new acute pain episode; 2148(26%) PreStarters had previously received opioids. The prevalence of LTOT in PreStarters/NaiveStarters was 17.2%/11.2% in their first outpatient year. Similar differences between groups were seen in all follow-up intervals. In the last follow-up year, LTOT prevalence in Prestarters/NaiveStarters was 12.5%/7.0%.
Previous opioid treatment-i.e., before a new acute spinal pain episode and referral to a Spine Center-doubled the risk of LTOT 5years later. The results underscore clinicians' obligation to carefully and individually weigh the benefits against the risks of prescribing opioid therapy.
Diagnostic individual cross-sectional studies with consistently applied reference standard and blinding.
Diagnostic individual cross-sectional studies with consistently applied reference standard and blinding.Data of 475 goats (242 Zaraibi, 84 Baladi, and 149 Damascus) kept at Sakha Farm, belonging to Animal Production Research Institute (APRI), Ministry of Agriculture, Dokki, Cairo, Egypt, from the period of 2011 to 2017 were used to estimate direct (additive) and maternal genetic effects for litter size at birth (LSB). Three animal models were used. Model 1 includes the fixed effects of breed, season, year of kidding, age of doe, and direct genetic effect. Model 2 is similar to model 1 beside the permanent environmental effect. Model 3 is similar to model 2 and includes the maternal genetic, covariance between direct and maternal genetic effects. The effects of breed, season, year of kidding, and age of doe were significant on LSB. Heritability estimates for LSB are 0.19±0.050, 0.19±0.160, and 0.06±0.007, as estimated from models 1, 2, and 3, respectively. Maternal heritability estimate using model 3 was 0.05±0.006. The removal of additive genetic maternal effect and covariance between direct and maternal effects from the model increased heritability of direct genetic effect by 0.13. Annual phenotypic trends for LSB in Zaraibi, Baladi, and Damascus goat breeds are negative. Annual genetic trends for LSB for the three breeds of goats are positive, significant, and being 0.10±0.01, 0.25±0.02, and 0.01±0.001 litter/year for Zaraibi, Baladi, and Damascus, respectively. The present results indicated that selection for LSB will take a long time. The speed and efficiency of selection is expected to increase by use of molecular markers in selection.Using an electronic medical record (EMR)-based dashboard, this study explored osteoporosis care gaps in primary care. Eighty-four physicians shared their practice activities related to bone mineral density testing, 10-year fracture risk calculation and treatment for those at high risk. Significant gaps in fracture risk calculation and osteoporosis management were identified.
To identify care gaps in osteoporosis management focusing on Canadian clinical practice guidelines (CPG) related to bone mineral density (BMD) testing, 10-year fracture risk calculation and treatment for those at high risk.
The ADVANTAGE OP EMR tool consists of an interactive algorithm to facilitate assessment and management of fracture risk using CPG. G Protein inhibitor The FRAX® and Canadian Association of Radiologists and Osteoporosis Canada (CAROC) tools were embedded to facilitate 10-year fracture risk calculation. Physicians managed patients as clinically indicated but with EMR reminders of guideline recommendations; participants shared practice level data on management activities after 18-month use of the tool.
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