The impact of type 2 diabetes and glycaemic control on mortality and clinical outcomes in hospitalized patients with COVID-19 in the capital region of Denmark.

AIM: To explore the impact of type 2 diabetes (T2D), glycaemic control and use of glucose-lowering medication on clinical outcomes in hospitalized patients with COVID-19. MATERIALS AND METHODS: For all patients admitted to a hospital in the Capital Region of Denmark (1 March 2020 to 1 December 2021) with confirmed COVID-19, we extracted data on mortality, admission to intensive care unit (ICU), demographics, comorbidities, medication use and laboratory tests from the electronic health record system. We compared patients with T2D to patients without diabetes using Cox proportional hazards models adjusted for available confounding variables. Outcomes were 30-day mortality and admission to an ICU. For patients with T2D, we also analysed the association of baseline haemoglobin A1c (HbA1c) levels and use of specific glucose-lowering medications with the outcomes. RESULTS: In total, 4430 patients were analysed, 1236 with T2D and 2194 without diabetes. The overall 30-day mortality was 19% (n = 850) and 10% (n = 421) were admitted to an ICU. Crude analyses showed that patients with T2D both had increased mortality [hazard ratio (HR) 1.37; 95% CI 1.19-1.58] and increased risk of ICU admission (HR 1.28; 95% CI 1.04-1.57). When adjusted for available confounders, this discrepancy was attenuated for both mortality (adjusted HR 1.13; 95% CI 0.95-1.33) and risk of ICU admission (adjusted HR 1.01; 95% CI 0.79-1.29). Neither baseline haemoglobin A1c nor specific glucose-lowering medication use were significantly associated with the outcomes. CONCLUSION: Among those hospitalized for COVID-19, patients with T2D did not have a higher risk of death and ICU admission, when adjusting for confounders.

Doses to the right coronary artery and the left anterior descending coronary artery and death from ischemic heart disease after breast cancer radiotherapy: a case-control study in a population-based cohort.

BACKGROUND AND PURPOSE: Doses to the coronary arteries in breast cancer (BC) radiotherapy (RT) have been suggested to be a risk predictor of long-term cardiac toxicity after BC treatment. We investigated the dose-risk relationships between near maximum doses (Dmax) to the right coronary artery (RCA) and left anterior descending coronary artery (LAD) and ischemic heart disease (IHD) mortality after BC RT. PATIENTS AND METHODS: In a cohort of 2,813 women diagnosed with BC between 1958 and 1992 with a follow-up of at least 10 years, we identified 134 cases of death due to IHD 10-19 years after BC diagnosis. For each case, one control was selected within the cohort matched for age at diagnosis. 3D-volume and 3D-dose reconstructions were obtained from individual RT charts. We estimated the Dmax to the RCA and the LAD and the mean heart dose (MHD). We performed conditional logistic regression analysis comparing piecewise spline transformation and simple linear modeling for best fit. RESULTS: There was a linear dose-risk relationship for both the Dmax to the RCA (odds ratio [OR]/Gray [Gy] 1.03 [1.01-1.05]) and the LAD (OR/Gy 1.04 [1.02-1.06]) in a multivariable model. For MHD there was a linear dose-risk relationship (1,14 OR/Gy [1.08-1.19]. For all relationships, simple linear modelling was superior to spline transformations. INTERPRETATION: Doses to both the RCA and LAD are independent risk predictors of long-term cardiotoxicity after RT for BC In addition to the LAD, the RCA should be regarded as an organ at risk in RT planning.

Patients' knowledge of the indications for their medications - a scoping review.

BACKGROUND: Inadequate medication knowledge may contribute to inappropriate medication use and treatment harms. We aimed to map and synthesise the existing evidence on patients' knowledge of the indications for their medications. METHOD: We searched MEDLINE, Embase, CINAHL, PsychInfo and the Cochrane Library for studies that assessed patients' knowledge of the indications for their medications from inception to June 16, 2022. A pair of reviewers independently screened and extracted data on study characteristics, aims, and methods used to assess and report patients' knowledge of the indications for their medications. RESULTS: We included 99 studies conducted in 33 countries, published between 1979 and 2021, with 42,377 participants in total (median 126 participants [Interquartile range: 63-338]). Studies were observational (n = 77), experimental (n = 18), or qualitative interviews (n = 4). The exact question used to assess knowledge of the indications was reported in 27 studies and was phrased in 25 different ways. Knowledge of the indications was reported as a proportion of either 1) all participants (n = 65) or 2) the total number of medications used by all patients (n = 13). Sixteen studies used both reporting methods, while five only reported a proportion without specifying the denominator. Fourteen studies in various populations reported the number of participants with correct knowledge of all their medications, ranging from 19% (long-term psychiatric in-patients) to 87% (general practice patients). CONCLUSION: We did not identify any established scientific standard for assessing patients' knowledge of the indications for their medications. The wide range of study methodologies and reporting styles observed call for a methodological consensus in this research field. Estimates of correct knowledge varied widely between studies, but whether this was due to differences in study populations or study methodology could not be determined. Furthermore, we did not identify any study investigating whether participants' knowledge of the indications for their medications was associated with the quality, e.g. appropriateness, of their treatment.

Diffusion-Based Causal Representation Learning.

Causal reasoning can be considered a cornerstone of intelligent systems. Having access to an underlying causal graph comes with the promise of cause-effect estimation and the identification of efficient and safe interventions. However, learning causal representations remains a major challenge, due to the complexity of many real-world systems. Previous works on causal representation learning have mostly focused on Variational Auto-Encoders (VAEs). These methods only provide representations from a point estimate, and they are less effective at handling high dimensions. To overcome these problems, we propose a Diffusion-based Causal Representation Learning (DCRL) framework which uses diffusion-based representations for causal discovery in the latent space. DCRL provides access to both single-dimensional and infinite-dimensional latent codes, which encode different levels of information. In a first proof of principle, we investigate the use of DCRL for causal representation learning in a weakly supervised setting. We further demonstrate experimentally that this approach performs comparably well in identifying the latent causal structure and causal variables.

Physician-led medication reviews in polypharmacy patients treated with at least 12 medications in a type 2 diabetes outpatient clinic: A randomised trial.

AIMS: Medication reviews can be used to promote appropriate pharmacotherapy and negate the harmful consequences of polypharmacy. This study aimed to evaluate the effect of physician-led medication reviews and increased cross-sectoral communication as a supplement to standard care in a type 2 diabetes outpatient clinic. METHODS: This pragmatic randomised clinical trial enrolled patients with type 2 diabetes treated with at least 12 medications. The subjects were randomised to either standard care (standard care consultation at the outpatient clinic) or standard care plus a medication review consultation and increased cross-sectoral communication. The primary outcome was the number of medications used after six months. Health-related quality of life was quantified using the EuroQoL 5-dimension 5-level (EQ5D-5 L) questionnaire. RESULTS: We recruited 50 participants with a median age of 72 (IQR 67-75) years. The mean number of medications per patient changed from 17.9 to 14.3 in the intervention group and 17.6 to 17.2 in the control group (rate ratio 0.81). The reasons for discontinuations were medication no longer indicated (60%), safety issues (20%), efficacy issues (15%) or patient preferences (5%). There was a significant difference in the change in health-related quality of life (EQ5D-5 L index score) in favour of the intervention (0.111, 95% CI 0.001 to 0.221). CONCLUSIONS: Physician-led medication reviews and increased cross-sectoral communication in patients with type 2 diabetes treated with at least 12 medications reduced the number of medications used and improved health-related quality of life. Implementing and further investigating similar interventions as standard care seems reasonable.

Medication changes implemented during medication reviews and factors related to deprescribing: Posthoc analyses of a randomized clinical trial in geriatric outpatients with polypharmacy.

AIMS: To provide posthoc analyses of a clinical trial that reported beneficial effects of medication reviews on health-related quality of life. Specifically, to describe the medication changes with a focus on deprescribing and to explore patient- and medication-related factors that may identify patients most likely to benefit from medication reviews. METHODS: Posthoc analyses of data from a pragmatic, nonblinded, randomized clinical trial investigating a medication review intervention (NCT03911934) in 408 geriatric outpatients treated with ≥9 medicines. RESULTS: In the medication review group (n = 196), 26% of the medicines prescribed at baseline were discontinued with 82% still being discontinued after 13 months. The most common reason for discontinuation was lack of indication (72% of discontinuations). The medicines most often discontinued in the medication review group compared with usual care included: metoclopramide (11/15 = 73% discontinued vs. 1/12 = 8% in usual care), acetylsalicylic acid (20/48 = 42% vs. 2/47 = 4%), simvastatin (18/48 = 38% vs. 2/58 = 3%), zopiclone (23/59 = 39% vs. 4/54 = 7%), quinine (9/14 = 64% vs. 6/16 = 38%), citalopram (4/18 = 22% vs. 0/20 = 0%) and tramadol (18/37 = 49% vs. 8/30 = 27%). Factors associated with number of deprescribed medicines included: number of prescribed medicines, Drug Burden Index, patient motivation for medicine changes, and prescriptions of metoclopramide, iron preparations, antidepressants other than selective serotonin reuptake inhibitors, nonsteroidal anti-inflammatory drugs, or drugs for urinary incontinence. CONCLUSION: Physician-led medication reviews resulted in persistent deprescribing of medicines in older polypharmacy patients treated with ≥9 medicines. Motivation for having their medicine changed, treatment with more medicines, and a higher burden of sedative and anticholinergic medicines characterized the patients most likely to benefit from physician-led medication reviews.

An open, randomised, multi-centre study, comparing straight and tapered apex implants design, in partially and totally edentulous maxillae.

The design of the commercially available implant OsseoSpeed® (control) was changed to a tapered apex with a smaller apical diameter; OsseoSpeed® TX (test). OBJECTIVE: The present study evaluated the clinical outcome of marginal bone level as primary outcome, and cumulative implant survival rate, primary stability and condition of the peri-implant mucosa as secondary outcomes, one year after loading. MATERIAL AND METHODS: 92 subjects (150 implants, ten centres), with partially or totally edentate maxillae were randomized to receive either test or control implants. One to six implants were placed in each subject using a one-stage surgical procedure. Subjects received a permanent prosthesis 10-12 weeks after implant placement and were followed for one year. RESULTS: 47 subjects in the test group received 82 implants and 45 subjects in the control group received 68 implants. Marginal bone level alterations from loading to 1-year follow-up was -0.02 × 0.41 mm (mean × SD) and -0.03 × 0.38 mm (mean × SD) for the test and the control group, respectively, indicating no difference between the groups. Non-inferiority was declared as confidence interval for the difference between control and test implants was no worse than 0.5 mm. The CSR was 98.8% in the test group and 100% in the control group, with no statistically significant difference between the groups. CONCLUSIONS: Change of the apical design of a commercially available implant showed no significant effect on marginal bone level and CSR compared to the control implant. Missing data and many investigators may have influenced on the result. Trial registration number: NCT01324778.

Exosomes and microvesicles in normal physiology, pathophysiology, and renal diseases.

Extracellular vesicles are cell-derived membrane particles ranging from 30 to 5,000 nm in size, including exosomes, microvesicles, and apoptotic bodies. They are released under physiological conditions, but also upon cellular activation, senescence, and apoptosis. They play an important role in intercellular communication. Their release may also maintain cellular integrity by ridding the cell of damaging substances. This review describes the biogenesis, uptake, and detection of extracellular vesicles in addition to the impact that they have on recipient cells, focusing on mechanisms important in the pathophysiology of kidney diseases, such as thrombosis, angiogenesis, tissue regeneration, immune modulation, and inflammation. In kidney diseases, extracellular vesicles may be utilized as biomarkers, as they are detected in both blood and urine. Furthermore, they may contribute to the pathophysiology of renal disease while also having beneficial effects associated with tissue repair. Because of their role in the promotion of thrombosis, inflammation, and immune-mediated disease, they could be the target of drug therapy, whereas their favorable effects could be utilized therapeutically in acute and chronic kidney injury.

On Consensus-Based Distributed Blind Calibration of Sensor Networks.

This paper deals with recently proposed algorithms for real-time distributed blind macro-calibration of sensor networks based on consensus (synchronization). The algorithms are completely decentralized and do not require a fusion center. The goal is to consolidate all of the existing results on the subject, present them in a unified way, and provide additional important analysis of theoretical and practical issues that one can encounter when designing and applying the methodology. We first present the basic algorithm which estimates local calibration parameters by enforcing asymptotic consensus, in the mean-square sense and with probability one (w.p.1), on calibrated sensor gains and calibrated sensor offsets. For the more realistic case in which additive measurement noise, communication dropouts and additive communication noise are present, two algorithm modifications are discussed: one that uses a simple compensation term, and a more robust one based on an instrumental variable. The modified algorithms also achieve asymptotic agreement for calibrated sensor gains and offsets, in the mean-square sense and w.p.1. The convergence rate can be determined in terms of an upper bound on the mean-square error. The case when the communications between nodes is completely asynchronous, which is of substantial importance for real-world applications, is also presented. Suggestions for design of a priori adjustable weights are given. We also present the results for the case in which the underlying sensor network has a subset of (precalibrated) reference sensors with fixed calibration parameters. Wide applicability and efficacy of these algorithms are illustrated on several simulation examples. Finally, important open questions and future research directions are discussed.

Microvesicle transfer of kinin B1-receptors is a novel inflammatory mechanism in vasculitis.

During vasculitis, activation of the kinin system induces inflammation, whereby the kinin B1-receptor is expressed and activated after ligand binding. Additionally, activated blood cells release microvesicles into the circulation. Here we determined whether leukocyte-derived microvesicles bear B1-kinin receptors during vasculitis, and if microvesicles transfer functional B1-receptors to recipient cells, thus promoting inflammation. By flow cytometry, plasma from patients with vasculitis were found to contain high levels of leukocyte-derived microvesicles bearing B1-receptors. Importantly, renal biopsies from two patients with vasculitis showed leukocyte-derived microvesicles bearing B1-receptors docking on glomerular endothelial cells providing in vivo relevance. Microvesicles derived from B1-receptor-transfected human embryonic kidney cells transferred B1-receptors to wild-type human embryonic kidney cells, lacking the receptor, and to glomerular endothelial cells. The transferred B1-receptors induced calcium influx after B1-receptor agonist stimulation: a response abrogated by a specific B1-receptor antagonist. Microvesicles derived from neutrophils also transferred B1-receptors to wild-type human embryonic kidney cells and induced calcium influx after stimulation. Thus, we found a novel mechanism by which microvesicles transfer functional receptors and promote kinin-associated inflammation.

A novel mechanism of bacterial toxin transfer within host blood cell-derived microvesicles.

Shiga toxin (Stx) is the main virulence factor of enterohemorrhagic Escherichia coli, which are non-invasive strains that can lead to hemolytic uremic syndrome (HUS), associated with renal failure and death. Although bacteremia does not occur, bacterial virulence factors gain access to the circulation and are thereafter presumed to cause target organ damage. Stx was previously shown to circulate bound to blood cells but the mechanism by which it would potentially transfer to target organ cells has not been elucidated. Here we show that blood cell-derived microvesicles, shed during HUS, contain Stx and are found within patient renal cortical cells. The finding was reproduced in mice infected with Stx-producing Escherichia coli exhibiting Stx-containing blood cell-derived microvesicles in the circulation that reached the kidney where they were transferred into glomerular and peritubular capillary endothelial cells and further through their basement membranes followed by podocytes and tubular epithelial cells, respectively. In vitro studies demonstrated that blood cell-derived microvesicles containing Stx undergo endocytosis in glomerular endothelial cells leading to cell death secondary to inhibited protein synthesis. This study demonstrates a novel virulence mechanism whereby bacterial toxin is transferred within host blood cell-derived microvesicles in which it may evade the host immune system.

Best practice in placement of percutaneous endoscopic gastrostomy with jejunal extension tube for continuous infusion of levodopa carbidopa intestinal gel in the treatment of selected patients with Parkinson's disease in the Nordic region.

OBJECTIVE: Continuous infusion of levodopa carbidopa intestinal gel (LCIG) is associated with a significant improvement in the symptoms and quality of life of selected patients with advanced Parkinson's disease. Percutaneous endoscopic gastrostomy with jejunal extension (PEG/J) was first described in 1998 and has become the most common and standard technique for fixing the tubing in place for LCIG infusion. MATERIAL AND METHODS: A workshop was held in Stockholm, Sweden, to discuss the PEG/J placement for the delivery of LCIG in Parkinson's disease patients with the primary goal of providing guidance on best practice for the Nordic countries. RESULTS: Suggested procedures for preparation of patients for PEG/J placement, aftercare, troubleshooting and redo-procedures for use in the Nordic region are described and discussed. CONCLUSIONS: LCIG treatment administered through PEG/J-tubes gives a significant increase in quality of life for selected patients with advanced Parkinson's disease. Although minor complications are common, serious complications are infrequent, and the tube insertion procedures have a good safety record. Further development of delivery systems and evaluation of approaches designed to reduce the demand for redo endoscopy are required.

Complement Interactions with Blood Cells, Endothelial Cells and Microvesicles in Thrombotic and Inflammatory Conditions.

The complement system is activated in the vasculature during thrombotic and inflammatory conditions. Activation may be associated with chronic inflammation on the endothelial surface leading to complement deposition. Complement mutations allow uninhibited complement activation to occur on platelets, neutrophils, monocytes, and aggregates thereof, as well as on red blood cells and endothelial cells. Furthermore, complement activation on the cells leads to the shedding of cell derived-microvesicles that may express complement and tissue factor thus promoting inflammation and thrombosis. Complement deposition on red blood cells triggers hemolysis and the release of red blood cell-derived microvesicles that are prothrombotic. Microvesicles are small membrane vesicles ranging from 0.1 to 1 µm, shed by cells during activation, injury and/or apoptosis that express components of the parent cell. Microvesicles are released during inflammatory and vascular conditions. The repertoire of inflammatory markers on endothelial cell-derived microvesicles shed during inflammation is large and includes complement. These circulating microvesicles may reflect the ongoing inflammatory process but may also contribute to its propagation. This overview will describe complement activation on blood and endothelial cells and the release of microvesicles from these cells during hemolytic uremic syndrome, thrombotic thrombocytopenic purpura and vasculitis, clinical conditions associated with enhanced thrombosis and inflammation.

A method to estimate composite doses for organs at risk in prostate cancer patients treated with EBRT in combination with HDR BT.

BACKGROUND: When evaluating late toxicity after combined external beam radiation therapy (EBRT) and high-dose rate brachytherapy (HDR BT) prostate cancer treatments, it is important that the composite dose distribution is taken into account. This can be challenging if organ-at-risk (OAR) dose data are incomplete, i.e. due to a limited ultrasound imaging field-of-view in the HDR BT procedure. This work proposes a method that provides estimates of composite OAR doses for such situations. MATERIAL AND METHODS: Original EBRT, simulated HDR BT, and composite dose-volume histograms (DVHs) for 10 pelvic OARs in 30 prostate cancer cases were used for method implementation and evaluation (EBRT: 25×2.0 Gy+BT: 2×10.0 Gy). The proposed method used information from the EBRT DVH to estimate OAR BT doses (with or without fractionation correction). Coefficients of determination (R2) were calculated for linear relationships between several EBRT DVH parameters and a BT DVH parameter of interest. The largest R2 value decided the relationship that best predicted the BT DVH parameter. The composite dose value was then calculated by adding the EBRT DVH and the estimated BT DVH parameter values and was compared to the reference composite value (in 1200 OAR/patient/parameter cases). RESULTS: The linear relationships had an average R2 of 0.68 (range 0.42-0.88). Only one ninth of the 1200 estimated composite DVH values differed more than 2 Gy from their reference values. CONCLUSION: Given a successful implementation, the proposed method only requires original or simulated BT plan data for a subset of patients to estimate composite doses for large study populations in a time-efficient manner. This can assist in evaluating radiation-induced late toxicity in multimodality treatments with limited OAR dose data.

Analytical model of large data transactions in CoAP networks.

We propose a novel analytical model to study fragmentation methods in wireless sensor networks adopting the Constrained Application Protocol (CoAP) and the IEEE 802.15.4 standard for medium access control (MAC). The blockwise transfer technique proposed in CoAP and the 6LoWPAN fragmentation are included in the analysis. The two techniques are compared in terms of reliability and delay, depending on the traffic, the number of nodes and the parameters of the IEEE 802.15.4 MAC. The results are validated trough Monte Carlo simulations. To the best of our knowledge this is the first study that evaluates and compares analytically the performance of CoAP blockwise transfer and 6LoWPAN fragmentation. A major contribution is the possibility to understand the behavior of both techniques with different network conditions. Our results show that 6LoWPAN fragmentation is preferable for delay-constrained applications. For highly congested networks, the blockwise transfer slightly outperforms 6LoWPAN fragmentation in terms of reliability.

Rational Pharmacotherapy in Type 2 Diabetes: Danish Data From 2002 to 2020 on Mortality, Diabetes- Related Outcomes, Adverse Events, and Medication Expenses.

OBJECTIVE: Developments in pharmacotherapy and management of type 2 diabetes may have shifted the balance of treatment benefits versus harms and costs over the past decades. This study aimed to describe the trends in this balance. RESEARCH DESIGN AND METHODS: We followed the Danish population with type 2 diabetes between 2002 and 2020, analyzing their medication use in relation to treatment benefits (such as mortality and diabetes-related outcomes), adverse events, and medication costs. Using multivariate analyses, we adjusted for potential confounders, including age, sex, and socioeconomic status. RESULTS: The study included 461,805 individuals. From 2002 to 2020, the median age increased from 66 to 68 years, and the mean number of comorbidities increased from 5.2 to 8.8. The overall incidence of cardiovascular, renal, and other important adverse clinical outcomes decreased. Similarly, the rate of some adverse events, such as gastric bleeding, hypoglycemia, and falls declined, whereas the incidence of electrolyte imbalances and ketoacidosis increased. The average per-patient cost was reduced by 8%, but total medication expenses increased by 148% due to an expanding population size, lowered costs of most cardiovascular medications, and increasing costs for glucose-lowering drugs. CONCLUSIONS: Advancements in type 2 diabetes management have led to reduced risk of both diabetes-related outcomes and treatment harms, while maintaining relatively stable per-patient medication expenses. Although these trends are multifactorial, they suggest more rational pharmacotherapy. Still, increased risk of certain adverse events, along with increasing costs for glucose-lowering medications, underscores the need for ongoing vigilance and risk-benefit analysis.

Competitive networked bi-virus spread: Existence of coexistence equilibria.

The paper studies multi-competitive continuous-time epidemic processes. We consider the setting where two viruses are simultaneously prevalent, and the spread occurs due to individual-to-individual interaction. In such a setting, an individual is either not affected by any of the viruses, or infected by one and exactly one of the two viruses. One of the equilibrium points is the coexistence equilibrium, i.e., multiple viruses simultaneously infect separate fractions of the population. We provide a sufficient condition for the existence of a coexistence equilibrium. We identify a condition such that for certain pairs of spread matrices either every coexistence equilibrium lies on a line that is locally exponentially attractive, or there is no coexistence equilibrium. We then provide a condition that, for certain pairs of spread matrices, rules out the possibility of the existence of a coexistence equilibrium, and, as a consequence, establishes global asymptotic convergence to the endemic equilibrium of the dominant virus. Finally, we provide a mitigation strategy that employs one virus to ensure that the other virus is eradicated. The theoretical results are illustrated using simulations.

Increasing Medication Use and Polypharmacy in Type 2 Diabetes: The Danish Experience From 2000 to 2020.

OBJECTIVE: Type 2 diabetes often coexists with other conditions that are amenable to pharmacological treatment. We hypothesized that polypharmacy among individuals with type 2 diabetes has increased since 2000. RESEARCH DESIGN AND METHODS: Using Danish national registries, we established a cohort of all Danish individuals (aged ≥18 years) with type 2 diabetes between 2000 and 2020. We analyzed their medication use and prevalence of varying degrees of polypharmacy (≥5 or ≥10 medications), stratifying by age, sex, number of chronic diseases, and socioeconomic status. RESULTS: The cohort grew from 84,917 patients in 2000 to 307,011 in 2020, totaling 461,849 unique patients. The number of daily medications used per patient increased from (mean ± SD) 3.7 ± 2.8 (in 2000) to 5.3 ± 3.2 (in 2020). The lifetime risk of polypharmacy was substantial, with 89% (n = 409,062 of 461,849) being exposed to ≥5 medications at some point and 47% (n = 217,467of 461,849) to ≥10 medications. The increases were driven by an expanding group of medications, with analgesics, antihypertensives, proton pump inhibitors, and statins having the largest net increase. Advanced age, male sex, lower socioeconomic status, and Danish ethnicity positively correlated with polypharmacy but could not explain the overall increase in polypharmacy. CONCLUSIONS: Medication use and polypharmacy have increased among patients with type 2 diabetes. Although the implications and appropriateness of this increased medication use are uncertain, the results stress the increasing need for health care personnel to understand the potential risks associated with polypharmacy, including medication interactions, adverse effects, and over- and underprescribing.

CpG oligonucleotides induce acute murine thrombocytopenia dependent on toll-like receptor 9 and spleen tyrosine kinase pathways.

BACKGROUND: CpG oligonucleotides (ODNs) are synthetic single-stranded DNA sequences that act as immunostimulants. They have been increasingly used to treat several cancers; however, thrombocytopenia is a potential recognized side effect of some sequences. OBJECTIVES: We tested the ability of 2 CpG ODNs (ODN 2395 and ISIS 120704) to induce thrombocytopenia when administered to BALB/c mice and determined mechanisms associated with thrombocytopenia. METHODS: BALB/c mice were prebled and then injected with titrated doses of CpG ODNs, and platelet counts were determined. The mice were treated with intravenous immunoglobulin (IVIg) or various inhibitors and antagonists of toll-like receptor 9 (TLR9) and spleen tyrosine kinase (Syk) to determine their effects on thrombocytopenia. RESULTS: Compared with saline-treated mice or mice treated with 2'-O-methoxyethyl-modified antisense ODN, both ODN 2395 and ISIS 120704 induced acute dose-dependent thrombocytopenia within 3 and 24 hours, respectively. The thrombocytopenia was associated with significant increases in plasma monocyte chemoattractant protein 1. IVIg administration significantly rescued the CpG ODN-induced thrombocytopenia, as did treatment with either a Syk inhibitor or TLR9 antagonists. In vitro, CpG ODN could activate human platelets and this correlated significantly with enhanced IVIg- and Syk-dependent phagocytosis by THP-1 monocytes. CONCLUSION: These results suggest that CpG ODNs induce acute inflammatory-associated (IVIg-sensitive) thrombocytopenia that can be alleviated by Syk- or TLR9-blockade, and an IVIg- and Syk-dependent platelet clearance pathway appears primarily responsible for the thrombocytopenia.

Dose-response relationships for an atomized symptom of fecal incontinence after gynecological radiotherapy.

PURPOSE: The aim of this study was to investigate what bowel organ and delivered dose levels are most relevant for the development of 'emptying of all stools into clothing without forewarning' so that the related dose-responses could be derived as an aid in avoiding this distressing symptom in the future. MATERIAL AND METHODS: Of the 77 gynecological cancer survivors treated with radiotherapy (RT) for gynecological cancer, 13 developed the symptom. The survivors were treated between 1991 and 2003. The anal-sphincter region, the rectum, the sigmoid and the small intestines were all delineated and the dose-volume histograms were exported for each patient. The dose-volume parameters were estimated fitting the data to the Relative Seriality (RS), the Lyman and the generalized Equivalent Uniform Dose (gEUD) model. RESULTS: The dose-response parameters for all three models and four organs at risk (OARs) were estimated. The data from the sigmoid fits the studied models best: D50 was 58.8 and 59.5 Gy (RS, Lyman), γ50 was 1.60 and 1.57 (RS, Lyman), s was 0.32, n was 0.13 and a was 7.7 (RS, Lyman, gEUD). The estimated volume parameters indicate that the investigated OARs behave serially for this endpoint. Our results for the three models studied indicate that they have the same predictive power (similar LL values) for the symptom as a function of the dose for all investigated OARs. CONCLUSIONS: In our study, the anal-sphincter region and sigmoid fit our data best, but all OARs were found to have steep dose-responses for 'emptying of all stools into clothing without forewarning' and thus, the outcome can be predicted with an NTCP model. In addition, the dose to the four studied OARs may be considered when minimizing the risk of the symptom.