Severity of Diabetes Mellitus and Total Hip or Knee Replacement: A Population-Based Case-Control Study

Contains fulltext : 171491.pdf (publisher's version ) (Open Access)It is generally thought that people with diabetes mellitus (DM) are more likely to suffer from osteoarthritis (OA) due to an increased body mass index (BMI), resulting in mechanical destruction of cartilage. However, previous studies have suggested a coexisting metabolic causality.To evaluate the risk of hip or knee replacement, as a proxy for severe OA, in patients with DM. We additionally evaluated the risk of total joint replacement (TJR) with various proxies for increased DM severity.A population-based case-control study was performed, using the Clinical Practice Research Datalink (CPRD). Cases (n = 94,609) were defined as patients >18 years who had undergone TJR between 2000 and 2012. Controls were matched by age, gender, and general practice. Conditional logistic regression was used to estimate the risk of total knee (TKR) and total hip replacement (THR) surgery associated with use of antidiabetic drugs (ADs). We additionally stratified current AD users by proxies for DM severity.Current AD use was significantly associated with a lower risk of TKR (OR = 0.86 (95% CI = 0.78-0.94)) and THR (OR = 0.90 (95% CI = 0.82-0.99)) compared to patients not using ADs. Moreover, risk of TKR and THR was decreased with increasing HbA1c.This study does not support the theory that DM patients are more likely to suffer from severe OA as compared to patients without diabetes. Moreover, risk of severe OA necessitating TJR decreases with increasing DM severity. This is possibly due to dissimilarities in methodology, a decrease in eligibility for surgery, or variability of OA phenotypes

Busulfan exposure associated with event-free survival in children after allogeneic haematopoietic stem cell transplantation: A retrospective multicenter cohort study

Busulfan exposure associated with event-free survival in children after allogeneic haematopoietic stem cell transplantation: A retrospective multicenter cohort study OBJECTIVE To determine the relationship between busulfan cumulative area under the curve (AUC] and event-free survival lEFS] in children undergoing allogeneic haematopoietic stem cell transplantation (alloHCT). DESIGN Retrospective, multicenter cohort study. METHODS Children who underwent alloHCT in 15 different centres worldwide were included in this study (2000-20131. Participants had to be on intravenous busulfan and pharmacokinetic samples had to be available. Exposure of interest was the cumulative AUC of busulfan, and primary outcome was EFS (time to graft failure, relapse or all-cause mortality). Cox regression models were used to derive relative risks (RR), and the optimal busulfan AUC level was estimated using propensity adjusted Weibull models. RESULTS A total of 674 subjects (41[%] malignant, 59[%] non- malignant) with a median age of 4.5 years (interquartile range 1.4-10.7 years) were included in the analysis. We observed a significant U-shaped relationship between busulfan cumulative AUC and EFS (P = 0.011). The optimal target was estimated at 90 mgh/L (78-101 mgh/L), and was independent of any of the investigated patient characteristics. An AUC below the target increased the risk of graft failure and relapse (relative risk 1.75, P = 0.004), while transplant-related mortality was more pronounced when the AUC was too high (relative risk 2.99, P <0.0011. CONCLUSION This is the largest study on the relationship between busulfan and clinical outcomes in children undergoing alloHCT. Our results strongly advocate the use of therapeutic drug monitoring of busulfan, using 90 mg-h/L (78-101 mg h/L) as a target

Severity of Diabetes Mellitus and Total Hip or Knee Replacement

Permissions RESEARCH ARTICLE: OBSERVATIONAL STUDY Severity of Diabetes Mellitus and Total Hip or Knee Replacement A Population-Based Case–Control Study Nielen, Johannes T.H. MSc; Emans, Pieter J. PhD; Dagnelie, Pieter C. PhD; Boonen, Annelies PhD; Lalmohamed, Arief PhD; de Boer, Anthonius PhD; van den Bemt, Bart J.F. PhD; de Vries, Frank PhD Editor(s): Roever., Leonardo Author Information Medicine 95(20):p e3739, May 2016. | DOI: 10.1097/MD.0000000000003739 OPEN SDC Metrics Abstract It is generally thought that people with diabetes mellitus (DM) are more likely to suffer from osteoarthritis (OA) due to an increased body mass index (BMI), resulting in mechanical destruction of cartilage. However, previous studies have suggested a coexisting metabolic causality. To evaluate the risk of hip or knee replacement, as a proxy for severe OA, in patients with DM. We additionally evaluated the risk of total joint replacement (TJR) with various proxies for increased DM severity. A population-based case–control study was performed, using the Clinical Practice Research Datalink (CPRD). Cases (n = 94,609) were defined as patients >18 years who had undergone TJR between 2000 and 2012. Controls were matched by age, gender, and general practice. Conditional logistic regression was used to estimate the risk of total knee (TKR) and total hip replacement (THR) surgery associated with use of antidiabetic drugs (ADs). We additionally stratified current AD users by proxies for DM severity. Current AD use was significantly associated with a lower risk of TKR (OR = 0.86 (95% CI = 0.78–0.94)) and THR (OR = 0.90 (95% CI = 0.82–0.99)) compared to patients not using ADs. Moreover, risk of TKR and THR was decreased with increasing HbA1c. This study does not support the theory that DM patients are more likely to suffer from severe OA as compared to patients without diabetes. Moreover, risk of severe OA necessitating TJR decreases with increasing DM severity. This is possibly due to dissimilarities in methodology, a decrease in eligibility for surgery, or variability of OA phenotypes

Use of glitazones and the risk of elective HIP or knee replacement: A population based case-control study

Background: Osteoarthritis (OA) is the most common musculoskeletal condition in the elderly population. However, to date, no disease modifying drug exists for this disease. In vivo studies have shown that glitazones may be used as anti-arthritic drugs. (Kobayashi, 2005; Boileau, 2007). Objectives: To determine the risk of total joint replacement (TJR) with the use of glitazones. Methods: A population based case-control study was performed using the Clinical Practice Research Datalink (CPRD). Cases (n=94,609) were defined as patients >18 years of age who had undergone TJR surgery between 2000 and 2012. Controls were matched by age, gender and general practice. Conditional logistic regression was used to estimate the risk of total knee (TKR) and total hip replacement (THR) associated with use of glitazones. We additionally evaluated risk of TJR in current glitazone users compared to DM patients using other antidiabetic drugs (ADs). In order to determine a dose effect relationship, we also stratified glitazone users by total number of prescriptions prior to surgery. Results: There is no difference in risk of TKR (OR=1.11 (95% CI=0.95-1.29)) or THR (OR=0.87 (95% CI=0.74-1.02)) between glitazone users and patients not using glitazones. Furthermore, there is no difference in risk of TKR (OR=1.03 (95% CI=0.88-1.22)) and THR (OR=0.90 (95% CI=0.75-1.08)) when glitazones users are compared to other AD users. Finally, we did not find a dose response effect with increasing number of prescriptions. Conclusions: This study did not find any evidence for an anti-arthritic effect of glitazones

Melting of 2D liquid crystal colloidal structure

Using video microscopy, we investigated melting of a two-dimensional colloidal system, formed by glycerol droplets at the free surface of a nematic liquid crystalline layer. Analyzing different structure correlation functions, we conclude that melting occurs through an intermediate hexatic phase, as predicted by the Kosterlitz-Thouless-Halperin-Nelson-Young(KTHNY) theory. However, the temperature range of the intermediate phase is rather narrow, <1°C, and the characteristic critical power law decays of the correlation functions are not fully developed. We conclude that the melting of our 2D systems qualitatively occurs according to KTHNY, although quantitative details of the transition scenario may partly depend on the details of interparticle interaction

Are people following hip and knee arthroplasty at greater risk of experiencing a fall and fracture? Data from the Osteoarthritis Initiative

Introduction: Falls are a major challenge for older people and are a significant source of mortality and morbidity. There has been uncertainty as to whether people with total hip (THA) or knee (TKA) arthroplasty have a greater risk of falls and associated fractures. This analysis was to explore this question with a large community dataset. Materials and Methods: Data from all people enrolled onto the US Osteoarthritis Initiative programme who had undergone a THA (n=104) or TKA (n=165), within a 12 month period, were compared to those who had not undergone an arthroplasty (n=4631). Data was collected on: the number of participants who reported a fall within a 12 month period; the frequency of falls in this period; and whether a fracture was sustained during this period. Odd ratios were calculated for the probability of experiencing a fall or fracture between the groups. Results: There was no statistical difference in falls between people following THA (OR 0.90; 95% CI: 0.58 to 1.41) or TKA (OR: 0.95; 0.67 to 1.35) compared to a non-arthroplasty cohort. Whilst there was no statistical difference in fracture risk between people following TKA compared to non-arthroplasty individuals (OR: 1.25; 95% CI: 0.57 to 2.70), those who underwent THA had a 65% lower chance of experiencing a fracture in the initial 12 post-operative months compared to the non-THA cohort (OR 0.35; 95% CI: 0.19 to 0.65; p<0.01). Conclusions: There appears a lower chance of experiencing a fracture for people following THA compared to those who have not

Busulfan target exposure attainment in children undergoing allogeneic hematopoietic cell transplantation: a single day versus a multiday therapeutic drug monitoring regimen

Busulfan exposure has previously been linked to clinical outcomes, hence the need for therapeutic drug monitoring (TDM). Study objective was to evaluate the effect of day 1 TDM-guided dosing (regimen d1) versus days 1 + 2 TDM-guided dosing (regimen d1 + 2) on attaining adequate busulfan exposure. In this observational study, we included all children receiving busulfan-based allogeneic hematopoietic cell transplantation. Primary outcome was the percentage of patients achieving busulfan target attainment in both TDM regimens. Secondary outcomes were the variance in busulfan exposure and day-4 clearance (Clday4) estimates between both TDM regimens and dosing day 1 and 2. In regimen d1, 84.3% (n = 91/108) attained a therapeutic busulfan exposure, while in regimen d1 + 2 a proportion of 90.9% was found (n = 30/33, not-significant). Variance of Clday4 estimate based on busulfan day 2 concentrations was significantly smaller than the variance of Clday4 estimates based on day 1 concentrations (p < 0.001). Therefore, day 1-guided TDM (pharmacometric model-based) of busulfan may be sufficient for attaining optimal target exposure, provided that subsequent TDM is carried out if required. However, performing TDM on subsequent days may be beneficial, as measurements on day 2 seemed to reduce the variance in the estimated clearance as compared to day 1 sampling

Calibration of FRAX ® 3.1 to the Dutch population with data on the epidemiology of hip fractures

SummaryThe FRAX tool has been calibrated to the entire Dutch population, using nationwide (hip) fracture incidence rates and mortality statistics from the Netherlands. Data used for the Dutch model are described in this paper.IntroductionRisk communication and decision making about whether or not to treat with anti-osteoporotic drugs with the use of T-scores are often unclear for patients. The recently developed FRAX models use easily obtainable clinical risk factors to estimate an individual's 10-year probability of a major osteoporotic fracture and hip fracture that is useful for risk communication and subsequent decision making in clinical practice. As of July 1, 2010, the tool has been calibrated to the total Dutch population. This paper describes the data used to develop the current Dutch FRAX model and illustrates its features compared to other countries.MethodsAge- and sex-stratified hip fracture incidence rates (LMR database) and mortality rates (Dutch national mortality statistics) for 2004 and 2005 were extracted from Dutch nationwide databases (patients aged 50+ years). For other major fractures, Dutch incidence rates were imputed, using Swedish ratios for hip to osteoporotic fracture (upper arm, wrist, hip, and clinically symptomatic vertebral) probabilities (age- and gender-stratified). The FRAX tool takes into account age, sex, body mass index (BMI), presence of clinical risk factors, and bone mineral density (BMD).ResultsFracture incidence rates increased with increasing age: for hip fracture, incidence rates were lowest among Dutch patients aged 50–54 years (per 10,000 inhabitants: 2.3 for men, 2.1 for women) and highest among the oldest subjects (95–99 years; 169 of 10,000 for men, 267 of 10,000 for women). Ten-year probability of hip or major osteoporotic fracture was increased in patients with a clinical risk factor, lower BMI, female gender, a higher age, and a decreased BMD T-score. Parental hip fracture accounted for the greatest increase in 10-year fracture probability.ConclusionThe Dutch FRAX tool is the first fracture prediction model that has been calibrated to the total Dutch population, using nationwide incidence rates for hip fracture and mortality rates. It is based on the original FRAX methodology, which has been externally validated in several independent cohorts. Despite some limitations, the strengths make the Dutch FRAX tool a good candidate for implementation into clinical practice