SURPRISINGLY FEW WOMEN WITH SEVERE OSTEOPOROSIS BY BONE DENSITOMETRY UNDERGO WORKUP FOR SECONDARY CAUSES - A RETROSPECTIVE EVALUATION

A diagnostic predictive model for secondary osteoporosis in patients with fragility fracture: a retrospective cohort study in a tertiary care hospital

Identifying secondary causes among osteoporotic patients is crucial. However, there is no simple tool for screening secondary osteoporosis. A predictive model for screening secondary osteoporosis was constructed using simple clinical and biochemical parameters. This predictive model may provide clinicians with guidance to perform further investigations for specific causes of osteoporosis.

PURPOSE

Establishing whether a fragility fracture is secondary to a specific cause of osteoporosis is crucial for treatment outcomes. Therefore, this study aimed to develop a simple screening tool for secondary osteoporosis in the elderly initially presented with fragility fractures.

METHODS

A retrospective cohort study including 456 patients with fragility hip and vertebral fractures that occurred between January 2017 and July 2022 was conducted. Demographic, clinical, biochemical, and final diagnostic data were retrieved. Potential predictors for secondary osteoporosis were determined by multivariable logistic regression analysis, and a predictive model for secondary osteoporosis was subsequently developed using identified potential predictors.

RESULTS

This study included 343 females and 113 males with a mean age of 76.9 ± 11.0 years. One hundred and twenty-one patients (26.5%) were diagnosed with secondary osteoporosis. Vitamin D deficiency (71.9%) was the most common cause of secondary osteoporosis, followed by glucocorticoid-induced osteoporosis (23.9%) and primary hyperparathyroidism (9.9%). The potential predictors for secondary osteoporosis included in the predictive model were age, body mass index (BMI), corrected calcium, phosphate, thyroid stimulating hormone, and a 10-year probability of hip fractures calculated by BMI-based FRAX®. With a cut-off level of 0.22, the proposed predictive model has an AuROC of 0.75 (95% CI 0.69 to 0.81) with a sensitivity of 77%, a specificity of 66%, and an accuracy of 68.9%.

CONCLUSION

A predictive model for screening secondary osteoporosis was constructed using simple clinical and biochemical parameters. This newly developed predictive model may provide clinicians with guidance to perform further advanced investigations for secondary causes of osteoporosis.

INSULIN RESISTANCE AND PATHOGENESIS OF POSTMENOPAUSAL OSTEOPOROSIS

Osteoporosis (OP) is a disease predisposing postmenopausal women to fractures, and often accompanied by insulin resistance (IR) and metabolic syndrome (MetS). Previous studies provided contradictory results concerning prevalence of MetS in postmenopausal OP. To better understand the pathogenesis of IR, we reviewed cellular and molecular aspects and systematically reviewed studies providing homeostasis model assessment (HOMA) index. Bone is an active endocrine organ maintaining its integrity by orchestrated balance between bone formation and resorption. Both osteoblasts and osteoclasts contain receptors for insulin and insulin-like growth factor-1 (IGF-1) operating in skeletal development and in the adult life. Defects in this system generate systemic IR and bone-specific IR, which in turn regulates glucose homeostasis and energy metabolism through osteocalcin. Examination of genetic syndromes of extreme IR revealed intriguing features namely high bone mineral density (BMD) or accelerated growth. Studies of moderate forms of IR in postmenopausal women reveal positive correlations between HOMA index and BMD while correlations with osteocalcin were rather negative. The relation with obesity remains complex involving regulatory factors such as leptin and adiponectin to which the contribution of potential genetic factors and in particular, the correlation with the degree of obesity or body composition should be added.

BODY COMPOSITION CHANGES IN MEN WITH HIV/HCV COINFECTION, HIV MONOINFECTION, AND HCV MONOINFECTION

Context

Both human immunodeficiency virus (HIV) infection and hepatitis C virus (HCV) infection represent systemic diseases that may develop metabolic complications, thus HIV/HCV coinfection metabolic changes need to be depicted.

Objective

We aimed to evaluate the body composition changes in patients with either HIV and HCV monoinfections or HIV/HCV coinfection.

Methods

123 young men divided into three groups: 41 with HIV/HCV coinfection, 42 with HIV-monoinfection, and 40 with HCV-monoinfection were evaluated for total and regional bone and soft tissue body composition assessments using a Dual-energy X-ray absorptiometry (DXA) and were compared with 40 healthy men with age and body mass index similar to the study groups. To detect sarcopenia, we calculated the appendicular limbs' lean mass index (ALMI), for obesity, we used the percent of body fat, and for lipodystrophy, we calculated the trunk/limbs index.

Results

HIV/HCV coinfection is associated with a significant higher bone demineralization in all regions of interest compared to HCV or HIV monoinfections and to controls. The prevalence of bone demineralization in HIV/HCV patients was 31.7%, more frequently at lumbar spine. Fat mass and lean mass were significantly lower in HIV/HCV-coinfected patients than in controls. Lipodystrophy was found in similar percentages in all three evaluated groups (80.4% in HIV/HCV, 92.5% in HIV, and 95% in the HCV group). Sarcopenia was higher in HIV/HCV group (43.9%) and important in HCV-monoinfection group (30%).

Conclusions

HIV/HCV-coinfected patients had the highest prevalence of bone demineralization, fat mass, and lean mass loss, compared to controls and to HIV and HCV monoinfections.

EFFECT OF ORAL CONTRACEPTIVES ON BONE MINERAL DENSITY

Contraceptives are widely used in our times and a lot of research has been conducted to clarify their impact on Bone Mineral Density. Combined Oral Contraceptives (COCs) may be detrimental to the BMD of adolescents. However, low-dose are more protective than ultra-low-dose COCs. When it comes to premenopause and perimenopause, COCs have no impact on BMD in women with good ovarian function and no estrogen deficiency. In women with impaired ovarian function, it seems that COCs have a positive influence on BMD. Progestin only-pills may not affect BMD, but further research is needed. Depot medroxyprogesterone acetate injection (DMPA) has a negative impact, especially in adolescents, which is duration related but evidence shows that BMD recovers after discontinuation. Levonorgestrel-releasing intrauterine system (LNG-IUS) has no impact on BMD.