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Objectives: We aimed to develop and validate a fracture risk algorithm for the automatic identification of subjects at high risk of imminent and long-term fracture risk., Research, Design, and Methods: A cohort of subjects aged 50-85, between 2007 and 2017, was extracted from the Catalan information system for the development of research in primary care database (SIDIAP). Participants were followed until the earliest of death, transfer out, fracture, or 12/31/2017. Potential risk factors were obtained based on the existing literature. Cox regression was used to model 1 and 5-year risk of hip and major fracture. The original cohort was randomly split in 80:20 for development and internal validation purposes respectively. External validation was explored in a cohort extracted from the Spanish database for pharmaco-epidemiological research in primary care., Results: A total of 1.76 million people were included from SIDIAP (50.7 % women with mean age of 65.4 years). Hip and major fracture incidence rates were 3.57 [95%CI 3.53 to 3.60] and 11.61 [95%CI 11.54 to 11.68] per 1000 person-years, respectively. The derived model included 19 risk factors. Internal validity showed good results on calibration and discrimination. The 1-year C-statistic for hip and major fracture were 0.851 (95%CI 0.853 to 0.864), and 0.717 (95%CI 0.742 to 0.749) respectively. The 5-year C-statistic for hip and major fracture were 0.849 (95%CI 0.847 to 0.852) and 0.724 (95%CI 0.721 to 0.727) respectively. External validation showed good performance for hip and major fracture risk prediction., Conclusions: We have developed and validated a clinical prediction tool for 1- and 5-year hip and major osteoporotic fracture risks using electronic primary care data. The proposed algorithm can be automatically estimated at the population level using the available primary care records. Future work is needed on the cost-effectiveness of its use for population-based screening and targeted prevention of osteoporotic fractures., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Osteogenesis imperfecta (OI) is a rare inherited connective tissue disorder with considerable clinical and genetic heterogeneity. The clinical hallmark of OI is liability to fractures due to reduced bone strength. Pregnancy and lactation are periods of increased calcium demand resulting in a decrease in maternal bone mineral density (BMD). This self-controlled case series evaluates fracture risk 12- and 19-months prior to conception compared to a period of 12- and 19 months following childbirth in women with OI. This study is based on data from the Danish National Patient Register collected between 1995 and 2018. Modified Poisson models were fitted to estimate Incidence Rate Ratio in the post/pre-pregnancy period/s, adjusted by parity and age. The 12-month observation group included 111 women with 205 pregnancies, and the 19-month observation 108 women with 197 pregnancies. We calculated fracture rates (IR) of 48.78 [95%CI 18.55-79.01] per 1000 person years 12 months prior to conception, and of 27.87 [95%CI 10.60-45.14] in the 12 months post-delivery. Comparing pre- and post-pregnancy period we found an incidence rate ratio (IRR) of 1.00 [95%CI 0.42-2.40]. When adjusting for parity and age at delivery no significant change in the IRR was noted. In the 19 months observation-period, the IR per 1000 person years prior to conception was 74.84 [95%CI 44.25-105.43] and the IR postpartum was 36.86 [95%CI 17.55-56.17], leading to an IRR of 0.61 [95%CI 0.31-1.18]. We could not identify any increased risk of fractures when comparing fracture rates during pregnancy and 12 or 19 months postpartum to fracture rates 12 or 19 months prior to conception., (Copyright © 2021. Published by Elsevier Inc.)

Background: Management of osteoporosis given reduced renal function is one of the largest challenges in the bone clinic., Objectives: Identify the cut-off for renal function below which there would be no overall BMD benefit associated with bisphosphonate use. Track safety outcomes resulting in hospital encounters., Methods: Population-based, observational register-linked study of BMD trajectories in adults from the island of Funen (pop 465,000) as a function of estimated creatinine clearance (CKD-epi), treatment and adherence to oBP. One laboratory performed all the biochemical analyses for the area while all DXA scans were in a central facility. For inclusion, patients were required to have both a DXA scan and an eGFR measurement (CKD-EPI) within 1 year prior to their study index date. Medication Possession Ratio (MPR) was calculated from national data., Results: Out of 6176 incident BP users, 1789 had eGFR and DXA measurements at appropriate timepoints for the planned analysis, while this was the case for 3908 of 29,336 non-users. Users of oBPs exhibited progressively smaller gains in BMD with decreasing renal function. However, for CKD stage 3A and better, the annual change in BMD was significantly more positive than in the non-user group at similar levels of renal function. In non-users, the average annual change in BMD was negative but largely unaffected by renal function down to stage 3B. There were no new cases of acute renal injury, glomerulonephritis or dialysis. The rate of new kidney transplantation was zero in non-users and 0.26 per 1000 PY in the BP user population. Hypocalcaemia encounters did not differ significantly from that seen in non-users., Conclusions: The BMD changes observed in real-world users of oBP in this population based single-clinic are consistent with those observed in the original RCTs of alendronate. We noted a gradual decrease in the absolute gains in BMD in oBP users with decreasing renal function though there was no significant interaction - largely explained by low numbers of treated patients with poor renal function - between CKD stage and adherence driven BMD change. There were no cases of acute renal injury resulting in hospital encounters. More data is needed on the efficacy and safety of bisphosphonates in CKD stage 3B to 5 and prescribers should reconsider the low use of DXA in patients with renal function impairment now that a wider range of treatment options are available., Competing Interests: Declaration of competing interest BA: Consulting and speakers fees Amgen, UCB, Kyowa-Kirin UK. Institutional research contracts UCB and Novartis. DPA: Grants and other support from AMGEN, grants, non-financial support and other from UCB Biopharma, grants from Laboratoires Servier, outside the submitted work; and Janssen, on behalf of IMI-funded EHDEN and EMIF consortiums, and Synapse Management Partners have supported training programmes organised by DPA's department and open for external participants. APH: Consulting and speakers fees Amgen, UCB. Institutional research contracts Kyowa-Kirin UK and Shire. CDS, MTE, MN, KHR: None., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Background: Postoperative infection is a common complication in hip fracture patients and the risk appears to have increased during the last decade. However, the impact of infection on mortality after hip fracture surgery remains unclear., Purpose: We aimed to examine the association between infection (any, as well as specific infections), with all-cause mortality following hip fracture surgery., Methods: Using Danish nationwide registries, we conducted a population-based cohort study on 74,771 hip fracture patients ≥65 years old operated from 2005 to 2016. We included hospital-treated infection as a time-varying exposure, and calculated 30-days mortality rate per 1000 person-years (PY). We used time-varying Cox Proportional Hazard Regression to compute 30-days adjusted hazards ratios (aHRs) with 95% confidence interval (CI) comparing the mortality of hip fracture patients with and without infections. We adjusted for sex, age, comorbidities, medication use, and marital status., Results: Within 30 days of surgery, 9592 (12.8%) patients developed a hospital-treated infection. Among these, 30-days mortality was 8.43 per 1000 PY compared with 3.34 among patients without infection (aHR = 2.72, 95% CI: 2.56-2.88). For patients who developed pneumonia, aHR was 4.18 (95% CI: 3.91-4.48), whereas the aHR was 8.86 (95% CI: 7.88-9.95) for patients who developed systemic sepsis. For patients who sustained reoperation due to infection, aHR was 2.95 (95%CI: 1.88-4.64). The mortality was higher in infected vs. non-infected patients irrespective of patients' age, sex and comorbidity., Conclusion: Infection within 30 days of hip fracture surgery is associated with substantially increased mortality risk. Further research should improve our knowledge about patients at increased risk and prevention measures for specific infections., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Soon after kidney transplant (KT), a decrease in parathormone and bone mineral density (BMD) occur, but little is known on the impact of KT on novel bone quality parameters including trabecular bone score (TBS) and bone material strength index (BMSi). We aimed to study BMD, TBS and BMSi in the first year after KT, in patients not treated with any bone therapy. A cohort including 36 patients underwent KT on a low-glucocorticoid-dose protocol (5 mg daily-prednisone from post-operative-day 42 onwards) and was observed for 12 months prospectively. At 3 months, phosphorus and parathormone decreased, while calcium increased. We also observed at 3 months a transient mild 2.9% bone loss at femoral neck (BMD change 0.752 ± 0.15 vs 0.730 ± 0.15; p = 0.004), but no change at either spine or total hip. Both TBS and BMSi remained stable. At 12 months, lumbar (but not total hip or femoral neck) BMD slightly decreased by 2.1% vs baseline (0.950 ± 0.15 vs 0.930 ± 0.5; p = 0.046), while TBS and BMSi remained unmodified. In KT patients on low-dose glucocorticoids and no bone therapy, there were small BMD decreases at femoral neck (at 3 months) and lumbar spine (at 12 months), but no change in either TBS or BMSi. Low-dose post-KT glucocorticoid treatment shows limited impact on bone, supporting steroid-restrictive protocols., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Objective: Different regulatory actions for anti-osteoporotic medication (AOM) were taken during the last years, including marketing of new drugs, safety warnings, or restrictions on the indications. We aimed to characterise the secular trends of AOM use in Spain from 2001 to 2013., Methods: A cohort study using the Spanish Database for Pharmacoepidemiological Research in Primary Care (BIFAP), was performed. BIFAP includes anonym records for 4million patients. Participants entered the study when aged ≥50years in 2001-2013 and after 1year of data available, and were followed to an AOM prescription (including alendronate, other bisphosphonates, SERM (selective estrogen receptor modulators), strontium ranelate, teriparatide or denosumab), death, lost or the end of December 2013. Prevalence (%) and incidence rate (IR/1000person-years (py)) of AOM users were computed by years and sex., Results: Out of 1.5million participants, 135,410 received AOM treatment during 2001-2013. Prevalence was 6.1% (women) and 1.1% (men), that increased from 2001 (2.0%) to 2009 (7.6%) to decrease thereafter. Out of them, 95,057 were incident. The IR was 24.90 (women) and 2.77 (men), that increased from 2001 (21.25 and 1.96) to 2007 (35.84 and 3.64), and decreased to 12.48 and 1.81 (2013). IRs were highest for bisphosphonates along the years (ranging 3.70-14.73 and 0.57-1.75 in women and men respectively), followed by SERM up to 2005 (6.51-9.02 and 0.06-0.07), and strontium ranelate from 2006 (4.66 and 0.45) to 2012 (2.05 and 0.26). IR for teriparatide increased from marketing in 2004 (0.10-1.01 and 0.02-0.29), as was denosumab from marketing in 2011 (0.03-2.64 and 0.09-0.15)., Conclusions: Population-based estimates of AOM use in Spain peaked in 2007-2009 and decreased thereafter, irrespective of age and sex. New treatments were ten times higher in women than men. Bisphosphonates were the most frequently prescribed class, followed by SERM in women before 2006, strontium otherwise till 2012, and denosumab in women or teriparatide in men in 2013. Changes in the osteoporosis criteria, fracture risk assessment strategies, and regulatory actions for AOM around the time, may explain that trend., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Background: Some patients experience fractures while receiving oral bisphosphonates (BPs) treatment. Clinical risk factors, advanced bone density loss, and microarchitecture deterioration have been associated with such fractures but bone tissue properties other than bone mineral density (BMD) have not been assessed., Methods: In a cross-sectional study of postmenopausal women on bisphosphonates for at least 4years with good adherence to treatment, 21 patients with incident fractures were compared with 18 treated patients without new fractures. Demographic and clinical variables, BMD, laboratory tests, and bone material strength index (BMSi) assessed by impact microindentation at the tibial diaphysis were recorded for all participants., Results: Clinical and laboratory results did not differ between patients taking BPs with incident fractures and those without new fractures. However, BMSi was significantly lower (mean±SD) in those who fractured (73.76±6.49) than in no-fracture patients (81.64±6.26; p=0.001). Lumbar spine (LS) BMD was also lower in fractured patients (p=0.03). Adjusted models including age, body mass index, years on BP treatment, and LS-BMD confirmed an increase in fracture risk per BMSi standard deviation decrease: adjusted OR 23.5 [95% CI 2.16 to 255.66], p=0.01. ROC analyses showed an area under the curve of 0.82 (95% CI 0.68 to 0.95) for BMSi, higher than that for BMD at any location, which ranged from 0.64 (95% CI 0.47 to 0.82) for femoral neck (FN) BMD to 0.71 (95% CI 0.55 to 0.87) for LS-BMD., Conclusions: Patients who fracture while receiving BPs treatment have worse BMSi scores than BP-treated patients without fractures. The potential for BMSi to provide an additional osteoporosis treatment target should be explored., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Background: Many studies have shown a correlation between chronic kidney disease (CKD) and fracture. However, increased mortality in CKD patients is a competing risk scenario not accounted for in previous studies. Our aim was to investigate the true impact of CKD on hip fracture after accounting for a competing risk with death., Methods: We conducted a population-based cohort study to determine the impact of CKD on hip fractures in individuals aged ≥50years old registered in the SIDIAP(Q) database (representative of 1.9 million people in Catalonia, Spain). Cox regression was used to estimate hazard ratio (HR) for death and hip fracture according to CKD status. A competing risk (Fine and Gray) model was fitted to estimate sub-HR for hip fracture in CKD or CKD-free patients accounting for differential mortality., Results: A total of 873,073 (32,934 (3.8%) CKD) patients were observed for 3 years. During follow-up, 4,823 (14.6%) CKD and 36,328 (4.3%) CKD-free participants died (HR, 1.83 [95% CI, 1.78-1.89]), whilst 522 (1.59%) and 6,292 (0.75%) sustained hip fractures, respectively. Adjusted Cox models showed a significantly increased risk of hip fractures for the CKD group (HR, 1.16 [1.06-1.27]), but this association was attenuated in competing risk models accounting for mortality (SHR, 1.14 [1.03-1.27])., Conclusions: Both death and hip fracture rates are increased (by 83% and 16%, respectively) in CKD patients. However, the association between CKD and hip fractures is attenuated when an excess of mortality is taken into account. A competing risk with death must be considered in future analyses of association between CKD and any health outcomes., (Copyright © 2014 Elsevier Inc. All rights reserved.)

Purpose: To determine the association between socioeconomic deprivation (SES) and hip fracture risk., Methods: Retrospective cohort study using a population-based database (primary care records) of over 5 million people. Eligibility: all living subjects registered during the period 2009-2012 and resident in an urban area., Measures: a validated SES composite index (proportion of unemployed, temporary workers, manual workers, low educational attainment and low educational attainment among youngsters) estimated for each area based on census data., Outcome: incident hip fracture rates as coded in medical records using ICD-10 codes., Statistics: zero-inflated Poisson models fitted to study the association between SES quintiles and hip fracture risk, adjusted for age, sex, obesity, smoking and alcohol consumption., Results: Compared to the most deprived, wealthy areas had a higher hip fracture incidence (age- and sex-adjusted incidence 38.57 (37.14-40.00) compared to 34.33 (32.90-35.76) per 10,000 person-years). Similarly, most deprived areas had a crude and age- and sex-adjusted lower risk of hip fracture, RR of 0.71 (0.65-0.78) and RR of 0.90 (0.85-0.95), respectively, compared to wealthiest areas. The association was attenuated and no longer significant after adjustment for obesity: RR 0.96 (0.90-1.01). Further adjustment for smoking and high alcohol consumption did not make a difference., Conclusion: Wealthiest areas have an almost 30% increased risk of hip fracture compared to the most deprived. Differences in age-sex composition and a higher prevalence of obesity in deprived areas could explain this higher risk., (Copyright © 2014 Elsevier Inc. All rights reserved.)