Association between use of antidepressants or benzodiazepines and the risk of subsequent fracture among those aged 65+ in the Netherlands

Sedative-hypnotics and osteoporotic fractures: A systematic review of observational studies with over six million individuals

We reviewed and meta-analyzed 20 observational studies to examine the relationship between sedative-hypnotic use and osteoporotic fractures. We searched PubMed, Embase, APA PsycINFO, and Web of Science™ for studies that used cohort, case-control, case-crossover, and self-controlled case series designs. We further assessed the quality of each study and performed meta-analyses of association estimates, e.g., odds ratios (ORs). The analysis included 6,084,083 participants and found a slight association between the use of sedative-hypnotics and osteoporotic fractures, with differing strength of associations between different classes of drugs and greater sedative-hypnotics exposure. The pooled estimates ORs for case-control studies were 1.33 (95% CI 0.98-1.80) with benzodiazepines (BZD) and any fractures, 1.32 (95% CI 1.05-1.66) with BZDs and hip fractures, and case-crossover studies were 1.15 (95% CI 0.95-1.41) with BZDs and any fractures, 1.41 (95% CI 1.08-1.85) with Z-drugs and any fractures. The study suggests that more research is needed to aid medical professionals in balancing this potential risk of osteoporotic fractures associated with sedative-hypnotic use against other reported adverse events and anticipated therapy outcomes.

Diagnostic accuracy of algorithms to define incident and second hip fractures: A Taiwan validation study

BACKGROUND

Previous epidemiological researchers have used various algorithms to identify a second hip fracture; however, there has been no validation of these algorithms to date. This study aimed to verify existing algorithms for identifying second hip fracture under the International Classification of Diseases diagnostic coding systems. Furthermore, we examined the validity of two newly proposed algorithms that integrated the concept of periprosthetic fractures and laterality of the ICD-10 coding system.

METHODS

Claims data of patients hospitalized for hip fracture from National Taiwan University Hospitals between 2007 and 2020 were retrieved. Hip fracture was confirmed by 2 orthopaedic surgeons with medical records and imaging data as gold standards. The validity of 9 existing and 2 newly proposed algorithms for identifying second hip fracture was evaluated.

RESULTS

The positive predictive value (PPV) range between 84% and 90% in existing algorithms for identifying second hip fractures. Noteworthy, the longer time interval for discrimination resulted in slightly increased PPV (from 87% to 90%), while decreased sensitivity noticeably (from 87% to 72%). When considering the information about periprosthetic fracture, the PPV increased to 91% without diminished sensitivity. The PPV of the newly proposed ICD-10-specific algorithm was 100%.

CONCLUSION

Algorithms integrated clinical insights of periprosthetic fractures and laterality concept of ICD-10 coding system provided satisfactory validity and help precisely define second hip fracture in future database research.

Association of mental disorders and psychotropic medications with bone texture as measured with trabecular bone score

INTRODUCTION

Mental disorders and psychotropic medications are known to increase the risk of osteoporosis and fractures. However, current evidence is mostly limited to studies that used bone mineral density (BMD), which does not provide information about the texture of bone tissue and can underestimate fracture risk.

METHODS

We tested the association between bone texture, as measured with lumbar spine trabecular bone score (TBS), and both diagnosed mental disorders and psychotropic medication use in a large population-based BMD registry from Manitoba, Canada. General linear and logistic regression models were used to test the association of TBS with mental disorders (anxiety, depression, schizophrenia, and alcohol use disorder) and psychotropic medications use (selective serotonin reuptake inhibitors [SSRI], tricyclic antidepressants [TCA], other antidepressants, lithium, non‑lithium mood stabilizers, antipsychotics, and benzodiazepines), adjusted for comorbidities and confounding factors.

RESULTS

The study population contained 45,716 women (mean age = 64.1, SD = 10.4), which included 21.1 % with diagnoses for mental disorders and 18.7 % using psychotropic medications. We observed significant negative covariate-adjusted effects on TBS from diagnosed alcohol use disorder (3.1 % reduction in TBS, p < 0.001) and exposure to SSRI (0.6 % reduction, p < 0.001), TCA (0.8 % reduction, p < 0.001), other antidepressants (0.8 % reduction, p < 0.001), and lithium (3 % reduction, p < 0.001). Logistic regression revealed that TBS in the lowest (versus highest) tertile was associated with alcohol use disorder (adjusted odds ratio [OR] = 2.87, 95 % confidence interval [CI]: 1.95, 4.21), exposure to SSRI (OR = 1.21; 95 % CI: 1.08, 1.35), TCA (OR = 1.18, 95 % confidence interval [CI]: 1.04, 1.35), other antidepressants (OR = 1.26; 95 % CI: 1.09, 1.45), and lithium (OR = 1.97; 95 % CI: 1.09, 3.57).

CONCLUSION

Our results suggest that alcohol use disorder, antidepressants, and lithium are associated with poorer bone texture in women. These findings add to the current literature on the link of bone pathology with mental disorders and psychotropic medications.

Antidepressants and Vertebral and Hip Risk Fracture: An Updated Systematic Review and Meta-Analysis

Although antidepressant drugs appear to play an active role in increasing fracture risk, their weight is still unclear. We conducted a PRISMA compliant systematic review and meta-analysis through PubMed/Scopus/Cochrane libraries and registered with PROSPERO (registration number CRD42021254006) to investigate the relationship between antidepressant drugs categories, including SSRIs, SNRIs, and TCAs, and the risk of hip and vertebral fractures. After screening 3122 items, we finally found 26 papers for qualitative analysis and 11 for quantitative synthesis. A total of 15,209,542 adult and elderly patients were identified, with a mean follow-up of 51 months and a major prevalence of women. We identified results largely for SSRIs, with only a small amount of data for SNRIs, TCAs, and NaSSA. No data were found among the most recent categories of antidepressants, such as vortioxetine and esketamine. All included studies reported hip fractures, while three of them also included vertebral fractures. Overall, we observed a significant effect of SSRIs on fracture risk with a mean effect of 0.98 (95% CI = 0.75–1.20). This meta-analysis reveals that the use of SSRIs increases the risk of fractures. Clinicians’ awareness in antidepressant prescription should optimize their potential while reducing this risk.

Vitamin D Deficiency in Patients Receiving Antidepressant Medications

Тhis study aimed at exploring vitamin D levels in treated depressive patients in comparison to healthy individuals. The cross-sectional study included 20 ambulatory and inpatients with depressive episodes taking antidepressants and 30 healthy individuals. The serum concentration of 25(OH)D from collected blood samples was determined using biochemical analyzers. Serum 25(OH)D levels (ng/mL) in patients were significantly lower (the mean 13.1, standard deviation 7.3, median 11.4, minimal 3.8, maximal 35.9) then in control subjects (19.4, 9.1, 15.8, 7.6, 43.6) (p=0.004). Additional targeted research is needed because some lifestyle and dietary habits which are known to influence vitamin D status may confound observed effects.

Commonly Prescribed and Over-the-Counter Drugs as Secondary Causes of Osteoporosis-Part One

Prescription and over-the-counter drugs have been effectively used to manage many diseases and to provide symptom relief. Unfortunately, their use may also result in adverse drug reactions and unintended consequences. Proper use of these powerful agents requires understanding both their desired effects and their potential downsides. Fully understanding the unintended consequences can be challenging. Virtually all safety studies are carried out for far shorter periods of time than the actual use of these agents in the real world. Some may take years of use before their sequelae are recognized. This is especially a problem where bone health is concerned since the damage caused by years of minor disruption in function does not show up until compounded by other factors, such as andropause and menopause. This 2-part editorial covers the primary classes of drugs that require bone health monitoring and that may require alternative prescriptions or mitigation strategies. Part One covers aromatase inhibitors, gonadotropin-releasing hormone agonists, anticonvulsants, benzodiazepines, antidepressants, insulin sensitizers, and NSAIDs and acetaminophen. Part Two covers opioids, glucocorticoids, calcineurin inhibitors, H2 blockers, diuretics, anticoagulants, thyroid medications, and contraceptives.

Use of benzodiazepines, z-hypnotics and antidepressants among hip fracture patients in Finland. Consistency between recorded and detected benzodiazepines

PURPOSE

We described the use of benzodiazepines (BZDs), z-hypnotics, and antidepressants; analyzed the consistency between recorded and detected BZDs among hip fracture patients admitted to two Finnish hospitals during one year; and compared the results with corresponding results from 12 years earlier.

METHODS

Current use of medication was obtained from the National Prescription Register. Urine and blood samples used to detect BZD were taken during admission. The following Anatomical Therapeutic Chemical (ATC) classes were included: BZDs: N05BA, N05CD; z-hypnotics: N05CF; and antidepressants: N06A.The presence of BZDs in urine was analyzed using immunoassay. Positive BZDs were confirmed by gas chromatography mass spectrometry. BZDs in serum were analyzed using liquid chromatography. Concordance between recorded and detected BZDs was calculated with kappa (κ) and described using a Venn diagram.

RESULTS

A total of 245 patients were enrolled in the study. BZD was detected in 18 %. Kappa was 0.39 (95 % CI 0.25-0.53). Overlap of detected and recorded BZDs was 59 %. According to the prescription register, 18 % used z-hypnotics, and according to both the detection of BZDs and register, 49 % used BZDs and/or z-hypnotics. 22 % used antidepressants and 15 % used combinations of the studied drugs concomitantly.

CONCLUSION

Use rate of BZDs and/or z-hypnotics was similar to that 12 years ago. No difference in the consistency between our previous and present study was found either. All studied drugs and their concomitant use increase the risk for fractures. In the elderly, point prevalence of medication and appropriateness should be regularly assessed.

A comparison of the Cox model to the Fine-Gray model for survival analyses of re-fracture rates

We compared the Cox model with the Fine-Gray model when assessing the risk of low-trauma re-fractures. The risk of re-fracture was consistently higher when using the Cox model compared with the Fine-Gray model. The Fine-Gray model more accurately assesses the risk of re-fracture when a competing risk is present.

PURPOSE

Compared with the Kaplan-Meier and Cox model, the Fine-Gray competing risk model was developed to take competing risks into account, which provides a better estimation for the risk of the main outcome of interest when one or more competing risks are presented. To date, it remains underused. This study aims to use a case study to illustrate why and how the Fine-Gray model should be used and interpreted, especially when a competing risk is present.

METHODS

Using a cohort of patients who presented to a NSW hospital with a non-trauma-related fracture between 2013/2014 and 2017/2018, the cumulative incidence and rate of re-fracture were estimated by the Kaplan-Meier and the Cox model, and by the Fine-Gray model when deaths present as competing events.

RESULTS

The cumulative incidence of re-fracture at day 1825 (5 years) was 20.7% when using the Kaplan-Meier model and was 17.7% when using the Fine-Gray model. The estimations of cumulative incidence or rate of re-fracture were consistently higher by traditional survival analyses (Kaplan-Meier or Cox) compared with the Fine-Gray model. For patients aged 90 years and older, the re-fracture incidence at year 5 was estimated to be 66% vs. 28% whereas patients with a history of osteoporosis were 44% vs. 31%. Similarly, compared with patients without osteoporosis history, the estimated re-fracture rate for those with osteoporosis was 9.2 times higher by the Cox model but only 2.6 times higher by the Fine-Gray model.

CONCLUSION

The Fine-Gray model more accurately estimates the cumulative incidence of re-fracture and the effect of covariates on the hazard rate than the Kaplan-Meier and Cox models in the presence of a competing risk. This accuracy improves the larger the rate of a competing event.

All-cause mortality with current and past use of antidepressants or benzodiazepines after major osteoporotic and hip fracture

In the first year, after an osteoporotic fracture of a hip, forearm, upper arm, or spine, the dispensing rates of antidepressants and benzodiazepines increased significantly. After those fractures, recent and past use of antidepressants and benzodiazepines was associated with increased all-cause mortality; current use was not associated with mortality risk.

INTRODUCTION

It remains unclear to what extent use of antidepressants and benzodiazepines is associated with mortality risk after a major osteoporotic fracture (MOF). We aimed to study the cumulative use of antidepressants and benzodiazepines during the year after MOF or hip fracture (HF) and whether the use was associated with mortality.

METHODS

A cohort study was performed within the Dutch PHARMO Database Network including all patients aged 65+ with a first record of MOF (hip, humerus, forearm, and clinical vertebral fracture) between 2002 and 2011. Data were analyzed using Cox regression models, adjusted for comorbidities, and concomitant medication use and broken down to index fracture type.

RESULTS

A total of 4854 patients sustained a first MOF, of whom 1766 patients sustained a HF. Mean follow-up was 4.6 years, divided in 30-day periods. The cumulative antidepressant and benzodiazepine use during the first year after MOF increased from 10.6 to 14.7% and from 24.0 to 31.4%, respectively. Recent (31-92 days before each follow-up period) and past use (> 92 days before) of antidepressants and benzodiazepines after MOF or HF was associated with an increased all-cause mortality risk but current use (< 30 days before) was not.

CONCLUSION

There is a considerable increase in dispensing rate of antidepressants and benzodiazepines in the first year after a MOF. Recent and past use of these medications was associated with all-cause mortality. The finding that current use was not associated with mortality should be further explored and may probably be explained by the healthy survivor's bias.