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  1. Ogliari G, Ong T, Marshall L, Sahota O
    Bone, 2021 Jun;147:115916.
    PMID: 33737194 DOI: 10.1016/j.bone.2021.115916
    PURPOSE: To investigate the monthly and seasonal variation in adult osteoporotic fragility fractures and the association with weather.

    METHODS: 12-year observational study of a UK Fracture Liaison Service (outpatient secondary care setting). Database analyses of the records of adult outpatients aged 50 years and older with fragility fractures. Weather data were obtained from the UK's national Meteorological Office. In the seasonality analyses, we tested for the association between months and seasons (determinants), respectively, and outpatient attendances, by analysis of variance (ANOVA) and Tukey's test. In the meteorological analyses, the determinants were mean temperature, mean daily maximum and minimum temperature, number of days of rain, total rainfall and number of days of frost, per month, respectively. We explored the association of each meteorological variable with outpatient attendances, by regression models.

    RESULTS: The Fracture Liaison Service recorded 25,454 fragility fractures. We found significant monthly and seasonal variation in attendances for fractures of the: radius or ulna; humerus; ankle, foot, tibia or fibula (ANOVA, all p-values <0.05). Fractures of the radius or ulna and humerus peaked in December and winter. Fractures of the ankle, foot, tibia or fibula peaked in July, August and summer. U-shaped associations were showed between each temperature parameter and fractures. Days of frost were directly associated with fractures of the radius or ulna (p-value <0.001) and humerus (p-value 0.002).

    CONCLUSION: Different types of fragility fractures present different seasonal patterns. Weather may modulate their seasonality and consequent healthcare utilisation.

  2. Ong T, Copeland R, Thiam CN, Cerda Mas G, Marshall L, Sahota O
    Osteoporos Int, 2021 May;32(5):921-926.
    PMID: 33170309 DOI: 10.1007/s00198-020-05710-8
    Integration of a vertebral fracture identification service into a Fracture Liaison Service is possible. Almost one-fifth of computerised tomography scans performed identified an individual with a fracture. This increase in workload needs to be considered by any FLS that wants to utilise such a service.

    INTRODUCTION: This service improvement project aimed to improve detection of incidental vertebral fractures on routine imaging. It embedded a vertebral fracture identification service (Optasia Medical, OM) on routine computerised tomography (CT) scans performed in this hospital as part of its Fracture Liaison Service (FLS).

    METHODS: The service was integrated into the hospital's CT workstream. Scans of patients aged ≥ 50 years for 3 months were prospectively retrieved, alongside their clinical history and the CT report. Fractures were identified via OM's machine learning algorithm and cross-checked by the OM radiologist. Fractures identified were then added as an addendum to the original CT report and the hospital FLS informed. The FLS made recommendations based on an agreed algorithm.

    RESULTS: In total, 4461 patients with CT scans were retrieved over the 3-month period of which 850 patients had vertebra fractures identified (19.1%). Only 49% had the fractures described on hospital radiology report. On average, 61 patients were identified each week with a median of two fractures. Thirty-six percent were identified by the FLS for further action and recommendations were made to either primary care or the community osteoporosis team within 3 months of fracture detection. Of the 64% not identified for further action, almost half was because the CT was part of cancer assessment or treatment. The remaining were due to a combination of only ≤ 2 mild fractures; already known to a bone health specialist; in the terminal stages of any chronic illness; significant dependency for activities of daily living; or a life expectancy of less than 12 months CONCLUSION: It was feasible to integrate a commercial vertebral fracture identification service into the daily working of a FLS. There was a significant increase in workload which needs to be considered by any future FLS planning to incorporate such a service into their clinical practice.

  3. Ogliari G, Lunt E, Ong T, Marshall L, Sahota O
    Arch Osteoporos, 2020 10 07;15(1):156.
    PMID: 33026586 DOI: 10.1007/s11657-020-00825-1
    We investigated whether osteoporotic fractures declined during lockdown, among adults aged 50 years and older. We showed that fewer outpatients attended the Fracture Clinic, for non-hip fractures, during lockdown; in contrast, no change in admissions for hip fractures was observed. This could be due to fewer outdoors falls, during lockdown.

    PURPOSE: Many countries implemented a lockdown to control the spread of the COVID-19 pandemic. We explored whether outpatient attendances to the Fracture Clinic for non-hip fragility fracture and inpatient admissions for hip fracture declined during lockdown, among adults aged 50 years and older, in a large secondary care hospital.

    METHODS: In our observational study, we analysed the records of 6681 outpatients attending the Fracture Clinic, for non-hip fragility fractures, and those of 1752 inpatients, admitted for hip fracture, during the time frames of interest. These were weeks 1st to 12th in 2020 ("prior to lockdown"), weeks 13th to 19th in 2020 ("lockdown") and corresponding periods over 2015 to 2019. We tested for differences in mean numbers (standard deviation (SD)) of outpatients and inpatients, respectively, per week, during the time frames of interest, across the years.

    RESULTS: Prior to lockdown, in 2020, 63.1 (SD 12.6) outpatients per week attended the Fracture Clinic, similar to previous years (p value 0.338). During lockdown, 26.0 (SD 7.3) outpatients per week attended the Fracture Clinic, fewer than previous years (p value < 0.001); similar findings were observed in both sexes and age groups (all p values < 0.001). During lockdown, 16.1 (SD 5.6) inpatients per week were admitted for hip fracture, similar to previous years (p value 0.776).

    CONCLUSION: During lockdown, fewer outpatients attended the Fracture Clinic, for non-hip fragility fractures, while no change in inpatient admissions for hip fracture was observed. This could reflect fewer non-hip fractures and may inform allocation of resources during pandemic.

  4. Emery P, Vlahos B, Szczypa P, Thakur M, Jones HE, Woolcott J, et al.
    J Rheumatol, 2020 04;47(4):493-501.
    PMID: 31154413 DOI: 10.3899/jrheum.181398
    OBJECTIVE: To evaluate longterm drug survival (proportion of patients still receiving treatment) and discontinuation of etanercept (ETN), infliximab (IFX), adalimumab (ADA), certolizumab pegol (CZP), and golimumab (GOL) using observational data from patients with rheumatoid arthritis (RA).

    METHODS: Following a systematic literature review, drug survival at 12 and 12-24 months of followup was estimated by summing proportions of patients continuing treatment and dividing by number of studies. Drug survival at ≥ 36 months of followup was estimated through Metaprop.

    RESULTS: There were 170 publications included. In the first-line setting, drug survival at 12 months with ETN, IFX, or ADA was 71%, 69%, and 70%, respectively, while at 12-24 months the corresponding rates were 63%, 57%, and 59%. In the second-line setting, drug survival at 12 months with ETN, IFX, or ADA was 61%, 69%, and 55%, respectively, while at 12-24 months the corresponding rates were 53%, 39%, and 43%. Drug survival at ≥ 36 months with ETN, IFX, or ADA in the first-line setting was 59% (95% CI 46-72%), 49% (95% CI 43-54%), and 51% (95% CI 41-60%), respectively, while in the second-line setting the corresponding rates were 56% (95% CI 52-61%), 48% (95% CI 40-55%), and 41% (95% CI 36-47%). Discontinuation of ETN, IFX, and ADA at 36 months of followup was 38-48%, 42-62%, and 38-59%, respectively. Data on CZP and GOL were scarce.

    CONCLUSION: After > 12 months of followup, more patients with RA receiving ETN remain on treatment compared with other tumor necrosis factor inhibitors.

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