Crystallographic Fragment Screen of Coxsackievirus A16 2A Protease identifies new opportunities for the development of broad-spectrum anti-enterovirals.

Enteroviruses are the causative agents of paediatric hand-foot-and-mouth disease, and a target for pandemic preparedness due to the risk of higher order complications in a large-scale outbreak. The 2A protease of these viruses is responsible for the self-cleavage of the poly protein, allowing for correct folding and assembly of capsid proteins in the final stages of viral replication. These 2A proteases are highly conserved between Enterovirus species, such as Enterovirus A71 and Coxsackievirus A16 . Inhibition of the 2A protease deranges capsid folding and assembly, preventing formation of mature virions in host cells and making the protease a valuable target for antiviral activity. Herein, we describe a crystallographic fragment screening campaign that identified 75 fragments which bind to the 2A protease including 38 unique compounds shown to bind within the active site. These fragments reveal a path for the development of non-peptidomimetic inhibitors of the 2A protease with broad-spectrum anti-enteroviral activity.

An interrupted time series study of electronic health record clinical decision support for providers caring for patients with atrial fibrillation at increased stroke risk.

PURPOSE: To measure the effect of clinical decision support (CDS) on anticoagulation rates in patients with atrial fibrillation (AFib) or atrial flutter (AFlut) at high stroke risk and receiving care in outpatient settings, and to assess provider response to CDS. METHODS: This observational, quasi-experimental, interrupted time series study utilized electronic health record data at a large integrated delivery network in Texas from April to November 2020. CDS consisted of an electronic Best Practice Advisory (BPA)/alert (Epic Systems Corporation, Verona, WI) with links to 2 AFib order sets displayed to providers in outpatient settings caring for non-anticoagulated patients with AFib and elevated CHA2DS2VASc scores. Weekly outpatient anticoagulation rates were assessed in patients with high stroke risk before and after implementation of CDS. Alert actions and acknowledgment reasons were evaluated descriptively. RESULTS: Mean (SD) weekly counts of eligible patients were 8,917 (566) before and 8,881 (811) after implementation. Weekly anticoagulation rates increased during the pre-BPA study period (ß1 = 0.07%; SE, 0.02%; P = 0.0062); however, there were no significant changes in the level (ß2 = 0.60%; SE, 0.42%; P = 0.1651) or trend (ß3 = -0.01%; SE, 0.05%; P = 0.8256) of anticoagulation rates associated with CDS implementation. In encounters with the BPA/alert displayed (n = 17,654), acknowledgment reasons were provided in 4,473 (25.3%) of the encounters, with prescribers most commonly citing bleeding risk (n = 1,327, 7.5%) and fall risk (n = 855, 4.8%). CONCLUSION: There was a significant trend of increasing anticoagulation rates during the pre-BPA period, with no significant change in trend during the post-BPA period relative to the pre-BPA period.

Predicting Chronic Opioid Use Among Patients With Osteoarthritis Using Electronic Health Record Data.

OBJECTIVE: To estimate the risk of a patient with osteoarthritis (OA) developing chronic opioid use (COU) within 1 year of a new opioid prescription by using electronic health record (EHR) data and predictive models. METHODS: We used EHR data from 13 health care organizations to identify patients with OA with an opioid prescription between March 1, 2017 and February 28, 2019 and no record of opioid use in the prior 6 months. We evaluated 4 machine learning models to estimate patients' risk of COU (≥3 prescriptions ≥84 days, maximum gap ≤60 days). We also estimated the transportability of models to organizations outside the training set. RESULTS: The cohort consisted of 33,894 patients with OA, of whom 2,925 (8.6%) developed COU within 1 year. All models demonstrated good discrimination, with the best-performing model (random forest) achieving an area under the receiver operating characteristic curve (AUC) of 0.728 (95% CI 0.711-0.745), but the simplest regression model performed nearly as well (AUC 0.717 [95% CI 0.699-0.734]). Predicted risk deciles spanned a range of 2% risk for the 10th percentile to 18% risk for the 90th percentile for well-calibrated models. Models showed highly variable discrimination across organizations (AUC 0.571-0.842). CONCLUSIONS: We found that EHR-based predictive models could estimate the risk of future COU among patients with OA to help inform care decisions. Black-box methods did not have significant advantages over more interpretable models. Care should be taken when extending all models into organizations not included in model training because of a high variability in performance across held-out organizations.

Development of a New Patient-Reported Medication Adherence Instrument: Concerns Influencing Medication Adherence.

PURPOSE: The purpose of this research was to conceptualize and develop a tool for identifying persons who are, or are likely to be, non-adherent to medications prescribed by their healthcare provider(s) by identifying concerns that patients have regarding their treatments. PATIENTS AND METHODS: The target populations were persons diagnosed with atrial fibrillation or osteoarthritis, who were prescribed anticoagulants or over-the-counter or prescription pain medications, respectively. In this two-stage, multi-year, qualitative research study, relevant concepts were explored, confirmed and refined. The focus was on non-adherence due to active (thus potentially modifiable) patient decisions to forego taking medications as prescribed. RESULTS: The most common concerns among participants with atrial fibrillation were medication-related side effects and fear of bleeding. Participants with osteoarthritis were most concerned about short-term stomach problems and long-term kidney and liver side effects. The Concerns Influencing Medication Adherence (CIMA) instrument was developed based on these concerns and those identified in the literature. It is comprised of 16 items: a core set of 11 items potentially applicable to multiple disease states, 3 items specific to atrial fibrillation, and 2 items unique to osteoarthritis. The instrument is intended to be completed electronically, and publicly available for use in direct patient care in the United States or in population health management. CONCLUSION: To our knowledge, this is the first instrument focused on medication adherence that includes documented details of patient input as recommended by the United States Food and Drug Administration guidance. Patient input is considered a key component of content validity. In this research, for example, the concerns that patients have regarding their treatments can be expected to have affected past medication adherence and can potentially impact future adherence. Although applicability outside atrial fibrillation or osteoarthritis was not assessed, the general items may be useful in assessing adherence in other chronic diseases.

State-of-the-Art Data Management: Improving the Reproducibility, Consistency, and Traceability of Structural Biology and in Vitro Biochemical Experiments.

Efficient and comprehensive data management is an indispensable component of modern scientific research and requires effective tools for all but the most trivial experiments. The LabDB system developed and used in our laboratory was originally designed to track the progress of a structure determination pipeline in several large National Institutes of Health (NIH) projects. While initially designed for structural biology experiments, its modular nature makes it easily applied in laboratories of various sizes in many experimental fields. Over many years, LabDB has transformed into a sophisticated system integrating a range of biochemical, biophysical, and crystallographic experimental data, which harvests data both directly from laboratory instruments and through human input via a web interface. The core module of the system handles many types of universal laboratory management data, such as laboratory personnel, chemical inventories, storage locations, and custom stock solutions. LabDB also tracks various biochemical experiments, including spectrophotometric and fluorescent assays, thermal shift assays, isothermal titration calorimetry experiments, and more. LabDB has been used to manage data for experiments that resulted in over 1200 deposits to the Protein Data Bank (PDB); the system is currently used by the Center for Structural Genomics of Infectious Diseases (CSGID) and several large laboratories. This chapter also provides examples of data mining analyses and warnings about incomplete and inconsistent experimental data. These features, together with its capabilities for detailed tracking, analysis, and auditing of experimental data, make the described system uniquely suited to inspect potential sources of irreproducibility in life sciences research.

Safety results of administering ocrelizumab per a shorter infusion protocol in patients with primary progressive and relapsing multiple sclerosis.

BACKGROUND: Ocrelizumab is an approved MS treatment administered as two 300-mg intravenous infusions 2 weeks apart (Dose 1), each lasting approximately 2.5 hours, followed by single 600-mg infusions every 6 months lasting approximately 3.5 hours. Our objective was to evaluate shorter-duration ocrelizumab infusions in the Phase IIIb open-label SaROD study (NCT03606460). METHODS: Eligible patients received ocrelizumab 600-mg Dose 2 or 3 infused over approximately 2 hours (Cohort 1) or ocrelizumab 300-mg Dose 1, Infusion 2 over approximately 1.5 hours (Cohort 2). The primary endpoint was the number and proportion of patients experiencing Grade 3-4 infusion-related reactions (IRRs) in Cohort 1. Secondary endpoints included Grade 1-4 IRRs in both cohorts and Grade 3-4 IRRs in Cohort 2. RESULTS: Mean infusion times decreased by approximately 1.09 and 0.79 hours in Cohorts 1 and 2, respectively, compared with US prescribing information. IRRs, reported by 36% of 141 patients, were mild-to-moderate, with no observed Grade 3-4 IRRs. No IRR-related discontinuations occurred. No serious AEs, deaths, or new safety signals were observed. CONCLUSION: The IRR rate with ocrelizumab shorter-duration infusions was similar to that observed in the pivotal Phase III trials. Ocrelizumab can be infused over a shorter time without sacrificing patient safety.

Knowledge, attitudes, behaviours and practices towards diabetes mellitus in Kuwait.

BACKGROUND: Rates of diabetes in Kuwait are among the highest in the world. AIMS: To inform prevention initiatives, this study assessed diabetes knowledge, attitudes towards it, and personal behaviour relating to risk factors among the Kuwaiti population. METHODS: A cross-sectional knowledge, attitudes, beliefs and practices survey of 1124 people was performed between July and September 2015. Descriptive analysis and χ2 tests were performed. RESULTS: Although most participants (94%) had heard of diabetes and 87% believed type 2 diabetes to be preventable, knowledge of risk factors was poor [family history (87%), age (44%), low exercise (10%), obesity (4%), diet (0%) and stress (0%)]. Dietary patterns in Kuwait were variable and, of concern, 42% of those with diabetes had been eating more since diagnosis. Lifestyle, particularly among Kuwaitis and people with diabetes, was sedentary - 47% of participants walked < 20 minutes per day. CONCLUSIONS: Despite the importance of diet and exercise for diabetes prevention, significant gaps in public education clearly exist. At a policy level, much remains to be done and intensified intersectoral programmes are required to improve public awareness.

Infant and young child feeding patterns in Kuwait: results of a cross-sectional survey.

OBJECTIVE: The beneficial role of breast-feeding for maternal and child health is now well established. Its possible role in helping to prevent diabetes and obesity in children in later life means that more attention must be given to understanding how patterns of infant feeding are changing. The present study describes breast-feeding profiles and associated factors in Kuwait. Design/Setting/Subjects Interviews with 1484 recent mothers were undertaken at immunisation clinics across Kuwait. Descriptive analysis and binary logistic regression of results were performed. RESULTS: Rates of breast-feeding initiation in Kuwait were high (98·1 %) but by the time of discharge from hospital, only 36·5 % of mothers were fully breast-feeding, 37·0 % were partially breast-feeding and 26·5 % were already fully formula-feeding. Multiple social and health reasons were given for weaning the child, with 87·6 % of mothers who had stopped breast-feeding completely doing so within 3 months postpartum. Nationality (P<0·001), employment status 6 months prior to delivery (P<0·001), mode of delivery (P=0·01), sex of the child (P=0·026) and breast-feeding information given by nurses (P=0·026) were all found to be significantly associated with breast-feeding. Few women (5·6 %) got information on infant nutrition and feeding from nursing staff, but those who did were 2·54 times more likely to be still breast-feeding at discharge from hospital. Over 70 % of mothers had enjoyed breast-feeding and 74 % said they would be very likely to breast-feed again. CONCLUSIONS: In Kuwait where the prevalence of both obesity and type 2 diabetes is growing rapidly, the public health role of breast-feeding must be recognised and acted upon more than it has in the past.

Axitinib in metastatic renal cell carcinoma: patient characteristics and treatment patterns in US community oncology centers.

AIM: To study patient characteristics and treatment patterns in real-world axitinib use for metastatic renal cell carcinoma. PATIENTS & METHODS: We conducted a retrospective analysis of second- or third-line axitinib use between 1 January 2012 and 31 October 2014 in 135 metastatic renal cell carcinoma patients using the US Oncology Network database. RESULTS: Overall, 86.7% had clear cell histology, 57.8% had stage III/IV disease at diagnosis and 55.6% were poor risk by Heng criteria. Median treatment duration was 4.6 months (range: 0.03-35.49); 80.7% initiated axitinib at 5 mg/day twice daily, and 67.4% maintained this dose. Overall, 77.8% discontinued treatment, mainly due to disease progression (50.5%) and toxicity (21.9%). CONCLUSION: Axitinib usage patterns were consistent with the National Comprehensive Cancer Network Guidelines®. Ease of use among community oncologists and patient tolerance are key features of axitinib.

Real-World Treatment Patterns and Costs for Patients with Renal Cell Carcinoma Initiating Treatment with Sunitinib and Pazopanib.

BACKGROUND: Sunitinib and pazopanib are among the most prescribed targeted therapies for the systemic management of advanced renal cell carcinoma (RCC), but published cost comparisons between the 2 agents are few and limited by methodological and population differences. Also, sunitinib is administered on a 4-week on/2-week off cycle, and pazopanib is taken continuously. Thus, appropriate use and cost comparisons between the 2 drugs require methodological approaches to account for these differences. One way to accomplish this is to substitute expected for observed days supply. Recognizing the effects of nonrepresentative days supply values is important for assessing real-world treatment patterns and costs. OBJECTIVES: To (a) characterize demographic and clinical characteristics among patients with RCC newly initiating sunitinib or pazopanib, using a large administrative claims dataset; (b) characterize treatment patterns, persistence, and costs for each treatment group; and (c) assess the effect on treatment patterns and costs for sunitinib by substituting 42 days for prescriptions with 28- or 30-day supplies to account for sunitinib's 4-week on/2-week off dosing schedule. METHODS: This was a retrospective cohort study using health care claims data from the Truven MarketScan Research Databases, which include enrollment information and medical and pharmacy claims. Baseline patient demographic and clinical characteristics and treatment patterns (continuation, discontinuation, switching, or interruption; days supply; and persistence) were compared. Health care costs were calculated as mean daily index medication costs and as total, medical, and medication (all-cause and RCC-related) costs over the 12 months post-index period. Inclusion criteria were continuous health plan enrollment between 6 months pre-index and 12 months post-index; no RCC medications 6 months pre-index; ≥ 2 RCC diagnoses within ±180 days of index; and age ≥ 20 years. For demographic and clinical characteristics, treatment patterns, and costs, means (± standard deviations) for continuous data and relative frequencies for categorical data were reported. Chi-square tests or Student t-tests were used to evaluate differences other than costs. A generalized linear model with gamma distribution and log link was used for evaluating costs, controlling for patient demographic and pre-index clinical characteristics, persistence days, and index medication. All statistical tests were 2-tailed with significance set at P < 0.05 for all comparisons except for interactions with significance set at P < 0.10. The effects of substituting 42 days supply for sunitinib prescription records with 28 or 30 days supply were determined. RESULTS: In total, 609 (15.1% of the sunitinib overall sample) sunitinib patients and 183 (8.3% of the pazopanib overall sample) pazopanib patients were included. Demographic and clinical characteristics were similar for each treatment cohort. The persistence periods and number of prescriptions filled were also similar. Without substitution, significant differences were observed between treatment groups in patterns of index medication use (overall P = 0.0409), with fewer patients taking sunitinib continuing treatment than patients taking pazopanib. However, with substitution, treatment patterns differed significantly (overall P = 0.0026), but with more sunitinib patients than pazopanib patients continuing treatment. Without substitution, unadjusted daily mean index medication costs were significantly different for sunitinib ($216) versus pazopanib ($177, P < 0.0001). Substitution of sunitinib days supply eliminated the significant differences in daily index medication costs between treatment groups. The 1-year RCC-related and all-cause medication, medical, and total unadjusted costs were not significantly different between treatment groups, and substitution had no effect on these costs. After adjustment for possible confounding factors, these cost results were similar to those found with unadjusted analyses. CONCLUSIONS: In this study, patients with RCC who were initiating sunitinib and pazopanib had similar demographic and clinical characteristics and drug persistence patterns. The effect of substituting days supply values was demonstrated as an approach to considering differences in dosing cycles. Substitution significantly reduced sunitinib mean daily index medication costs and eliminated or reversed the direction of significant differences in costs between drugs during the persistence period. No significant differences were observed in unadjusted or adjusted 1-year costs. DISCLOSURES: This study was funded and conducted fully by Pfizer. All authors are employees of Pfizer. This work was presented in part as posters at the 2015 Genitourinary Cancers Symposium, of the American Society of Clinical Oncology; Rosen Shingle Creek, Orlando, FL; February 26-28, 2015, and the 20th Annual International Meeting of the International Society for Pharmacoeconomics and Outcomes Research; Philadelphia, PA; May 16-20, 2015. All authors contributed to study concept and design and to data interpretation. Mardekian was primarily responsible for data collection, along with Harnett. MacLean and Harnett worked on the manuscript, which was revised by MacLean and Mardekian.

Real-World Axitinib Use in the United States: A Retrospective Study Using Linked Datasets.

BACKGROUND: Axitinib is approved by the FDA for the treatment of advanced renal cell carcinoma (RCC) after failure of 1 previous systemic therapy and is distributed primarily through specialty pharmacies. Although the efficacy and safety of axitinib have been established in clinical trials, information from real-world populations will help to elucidate patients' clinical profiles and utilization patterns. Prescription records alone provide limited information on patient characteristics and other treatment experiences. Expansion of these data with information from medical claims databases should yield observational real-world data that may help to optimize therapy for patients with advanced RCC. OBJECTIVE: To link information from a specialty pharmacy database with information from medical and pharmacy claims databases to characterize real-world treatment patterns of axitinib as subsequent systemic therapy in patients with RCC in the United States. METHODS: This retrospective, observational, cohort study linked de-identified patient-level data from 22 specialty pharmacies that dispense axitinib with databases of longitudinal medical and pharmacy claims. Eligible patients had a diagnosis of RCC (> 1 claim for RCC defined as ICD-9-CM code 189.0), previously received > 1 systemic therapy, had the first prescription for axitinib dispensed between May 2012 and April 2013 (index), and had consistent claims reporting by pharmacies and physicians. All treatment data were used to calculate cycle, line of therapy, and duration of therapy; prescription data were used to determine axitinib dose modifications. Multivariate and logistic regression analyses were conducted to assess the effect of patient/prescriber characteristics on duration of axitinib therapy and dose modifications, respectively. RESULTS: In all, 1,175 patients met the study inclusion criteria and had data present in specialty pharmacy and claims databases. Most patients (74%) were male, and 68% were aged 55-74 years. Mean (SD) Charlson Comorbidity Index score was 2.7 (± 1.1); the most common comorbidity was hypertension (in 199 patients, 17%). Based on Rx-Risk-V, the most frequent concomitant conditions were pain (40%) and ischemic heart disease/hypertension (30%); the most frequent concomitant medications were antihypertensive medications (46%) and opiates (40%). Most prescribers (63%) were affiliated with an academic center, and all U.S. geographic regions were represented. In all, 847 patients (72%) had commercial insurance. Axitinib was prescribed as second-line therapy in 659 patients (56%), as third-line therapy in 326 patients (28%), and as fourth-line or later therapy in 190 patients (16%). In the overall population, mean (SD) duration of axitinib therapy was 168.6 (± 148.4) days. Axitinib treatment duration was 21 days longer in males than females (P = 0.013); 28 days longer in patients in the Northeast than in the Midwest or West (P = 0.010 and P = 0.016, respectively); and 26 days longer in patients receiving baseline hypothyroidism treatment (P = 0.004). In patients receiving second-line axitinib, the most common first-line therapy was sunitinib (56%), followed by pazopanib (16%) and everolimus (12%). Mean (SD) duration of second-line axitinib treatment was 172.3 (± 150.6) days and ranged from 127 days in patients who previously received temsirolimus to 196 days in those who previously received sorafenib. Of 1,025 patients who initiated axitinib at the standard 5 mg twice daily starting dose, 70% remained at this dose throughout treatment, whereas 10% had a dose increase. Younger age and gender (male) were associated with dose increases (OR = 0.958, 95% CI = 0.941-0.975 and OR = 0.573, 95% CI = 0.364-0.903, respectively). Baseline hypothyroidism treatment was associated with dose decreases and increases (OR = 1.662, 95% CI = 1.088-2.539 and OR = 2.149, 95% CI = 1.353-3.413, respectively). CONCLUSIONS: This analysis demonstrates the feasibility and utility of linking specialty pharmacy data to other longitudinal databases to better understand patient, provider, and reimbursement characteristics. These data provide insight into routine clinical use of axitinib as subsequent RCC therapy in the United States in the period following FDA approval, as well as additional information on sequencing of targeted agents in patients with advanced RCC. DISCLOSURES: This study was sponsored by Pfizer. MacLean and Cisar are employees of and hold stock in Pfizer. At the time of this analysis, Mehle, Eremina, and Quigley were employees of IMS Health who were paid consultants to Pfizer during the conduct of this study and in connection with the development of this manuscript. MacLean and Cisar contributed to study design and manuscript development. Mehle, Eremina, and Quigley contributed to study design, analysis, and manuscript development.

Molecular testing patterns in metastatic non-small cell lung cancer.

OBJECTIVES: Identification of oncogene mutations and gene rearrangements in individuals with non-small cell lung cancer (NSCLC) can help identify candidates for targeted therapy. This study examined whether clinicians are ordering molecular testing for patients with metastatic NSCLC (mNSCLC) prior to therapy initiation. STUDY DESIGN: Members from a national health plan with lung cancer and metastatic disease were followed retrospectively. METHODS: Members were identified in medical claims data from January 1, 2010, to December 31, 2012, if they had 2 or more claims for lung cancer (International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM] code 162.xx) and metastatic disease (≥ 1 claim with ICD-9-CM code 196.xx-198.xx) who were continuously enrolled in a fully insured plan 180 days prior to index date. Patients were excluded if they had a history of chemotherapy used primarily in small cell lung cancer, or a medical claim associated with an unrelated malignancy. The timing of molecular testing was compared with the start of chemotherapy and targeted therapy, if applicable. RESULTS: A total of 2623 patients presumed to have mNSCLC were included for analysis; of whom, 52.5% were male with a mean age of 72.5 years (SD = 8.2 years). A total of 1597 (60.9%) patients had a Current Procedural Terminology code associated with molecular testing at any time in their claims history. Of the 733 patients with molecular testing and chemotherapy or targeted therapy claims, testing occurred prior to systemic therapy initiation in 651 (88.8%; 95% CI, 86.1%-90.9%) patients. The median time between testing and therapy initiation was 38 days (interquartile range = 23-69 days). CONCLUSIONS: Assessment of oncogene mutations and gene rearrangements in mNSCLC routinely occurs prior to treatment initiation as suggested by analyses of claims data from a large US health plan. Validation using patient medical records is needed.

Health Care Costs Among Renal Cancer Patients Using Pazopanib and Sunitinib.

Publications that aim to assess the economics of different therapies are important because they complement clinical trial data and may aid in decision making. We therefore read with interest the study by Hansen et al. in the January 2015 issue of JMCP. This study compared  costs between pazopanib (PAZ) and sunitinib (SU) in the first-line treatment of patients with metastatic renal cell carcinoma (mRCC).1 The authors assessed health care costs through assignment of costs from the Truven Health MarketScan Databases to the self-reported health care resource utilization (HCRU) data from the population studied in the phase III noninferiority clinical trial COMPARZ (Pazopanib versus sunitinib in metastatic renal cell carcinoma).2 We are writing to comment on the conclusions drawn from the results presented, the methodology used, and to request additional information and clarification on data presented.

Common questions regarding clinical use of axitinib in advanced renal cell carcinoma.

PURPOSE: An overview of the responses to some of the most frequently asked questions regarding axitinib administration and dosage modifications used in clinical practice are presented. SUMMARY: Axitinib was approved for second-line treatment of advanced renal cell carcinoma by the Food and Drug Administration on January 27, 2012. Inquiries received over the first six months after the approval date were reviewed. A large number of questions were related to administration of axitinib in different patient populations or in patients with various comorbidities, such as its (1) use in patients unable to swallow oral medication or administration of axitinib via a nasogastric tube, (2) use in patients with renal or hepatic impairment, (3) central nervous system penetration and use in patients with brain metastases, (4) drug interactions, particularly with anticoagulants, and (5) dosage modifications. Responses to these inquiries were provided based on the published literature or from data on file from the manufacturer. The dosage of axitinib can be adjusted for use in patients with hepatic impairment or in patients who cannot otherwise tolerate the usual regimen. Patients taking concomitant warfarin can also take axitinib, and patients who cannot swallow oral medications can receive a liquid formulation of the drug, though its efficacy and comparability to the tablet formulation has not been tested. CONCLUSION: Based on the published literature and company data on file, the axitinib dosage may be modified to accommodate patients with renal or hepatic impairment, who cannot swallow oral medication, are receiving concomitant warfarin, or who cannot otherwise tolerate the standard dosage regimen. For patients who cannot swallow, an oral suspension can be prepared because crushing axitinib is not recommended.

Data management in the modern structural biology and biomedical research environment.

Modern high-throughput structural biology laboratories produce vast amounts of raw experimental data. The traditional method of data reduction is very simple-results are summarized in peer-reviewed publications, which are hopefully published in high-impact journals. By their nature, publications include only the most important results derived from experiments that may have been performed over the course of many years. The main content of the published paper is a concise compilation of these data, an interpretation of the experimental results, and a comparison of these results with those obtained by other scientists.Due to an avalanche of structural biology manuscripts submitted to scientific journals, in many recent cases descriptions of experimental methodology (and sometimes even experimental results) are pushed to supplementary materials that are only published online and sometimes may not be reviewed as thoroughly as the main body of a manuscript. Trouble may arise when experimental results are contradicting the results obtained by other scientists, which requires (in the best case) the reexamination of the original raw data or independent repetition of the experiment according to the published description of the experiment. There are reports that a significant fraction of experiments obtained in academic laboratories cannot be repeated in an industrial environment (Begley CG & Ellis LM, Nature 483(7391):531-3, 2012). This is not an indication of scientific fraud but rather reflects the inadequate description of experiments performed on different equipment and on biological samples that were produced with disparate methods. For that reason the goal of a modern data management system is not only the simple replacement of the laboratory notebook by an electronic one but also the creation of a sophisticated, internally consistent, scalable data management system that will combine data obtained by a variety of experiments performed by various individuals on diverse equipment. All data should be stored in a core database that can be used by custom applications to prepare internal reports, statistics, and perform other functions that are specific to the research that is pursued in a particular laboratory.This chapter presents a general overview of the methods of data management and analysis used by structural genomics (SG) programs. In addition to a review of the existing literature on the subject, also presented is experience in the development of two SG data management systems, UniTrack and LabDB. The description is targeted to a general audience, as some technical details have been (or will be) published elsewhere. The focus is on "data management," meaning the process of gathering, organizing, and storing data, but also briefly discussed is "data mining," the process of analysis ideally leading to an understanding of the data. In other words, data mining is the conversion of data into information. Clearly, effective data management is a precondition for any useful data mining. If done properly, gathering details on millions of experiments on thousands of proteins and making them publicly available for analysis-even after the projects themselves have ended-may turn out to be one of the most important benefits of SG programs.

Development and validation of new disease-specific measures of somatization and comorbidity in IBS.

OBJECTIVE: To create and validate empirically derived questionnaires that measure non-gastrointestinal symptoms and disorders that co-exist with irritable bowel syndrome (IBS). METHODS: A systematic review of the world literature identified all non-GI symptoms and diagnoses known to have excess frequency in IBS patients. These data were used to create the Recent Physical Symptoms Questionnaire (RPSQ), which measures somatization (the psychological tendency to report multiple physical symptoms), and the Comorbid Medical Conditions Questionnaire (CMCQ). The psychometric properties of these questionnaires were assessed in two studies: 109 IBS patients in Study I; 286 IBS patients and 67 healthy controls in Study II. RESULTS: In Study I, the RPSQ and CMCQ showed high test-retest reliability (r=.88 and .95) and good internal consistency (Cronbach alphas: .86 and .70, respectively). In Study II, principal components analysis demonstrated that the RPSQ is a homogeneous somatization scale, but the CMCQ could be divided into 4 subscales: one for psychiatric disorders and 3 for different types of somatic disorders. Concurrent validity of the RPSQ was shown by strong correlations with the Cornell Medical Index (CMI) and the Brief Symptom Inventory-18 (BSI-18) somatization scales. The validity of CMCQ responses was not assessed. Discriminant validity was modest: the BSI-18 anxiety and depression scales were less strongly correlated with the RPSQ than the BSI-18 somatization scale. The RPSQ and CMCQ scores of IBS patients were significantly higher than the scores of healthy controls (P<.001). CONCLUSIONS: The RPSQ and CMCQ are psychometrically sound measures of somatization and medical comorbidities in IBS.

Cardiac misconceptions in healthcare workers.

BACKGROUND: Cardiac misconceptions are common and may have a detrimental effect on patients. Such misconceptions may be introduced or reinforced by vague and inconsistent advice from healthcare staff and can adversely affect health outcomes. AIM: To assess whether level of cardiac misconceptions significantly differs between groups of healthcare staff based on occupation. METHODS: The 22-item York cardiac beliefs questionnaire (YCBQ) was administered to a convenience sample of healthcare staff (n = 263) in direct contact with cardiac patients. Data was also collected on the occupation of healthcare staff and years worked. RESULTS: Medical staff had the lowest mean score (17.5, CI 15.6-19.4), indicating fewest misconceptions, and unqualified healthcare workers had the highest mean score (32.1, CI 28.4-35.7). Analysis by ANOVA indicated differences between staff groups to be statistically significant (F = 17.66, p < 0.001). Length of time worked was found to be significantly associated with cardiac misconception score (Pearson's r = - 0.243, p < 0.001). Further analysis demonstrated that significant differences between mean group scores remained when years worked was defined as a covariate, F = 15.68, p < 0.001). CONCLUSION: There is significant variability in cardiac misconceptions in different groups of healthcare staff. Education to correct cardiac misconceptions should be particularly targeted at unqualified healthcare staff. The importance of maintaining appropriate ratios of qualified to unqualified healthcare staff in the care of cardiac patients is supported by this study.

Novel linear transition metal clusters of a heptadentate bis-beta-diketone ligand.

The synthesis and the structure of the new potentially heptadentate ligand 1,3-bis-(3-oxo-3-(2-hydroxyphenyl)-propionyl)-2-methoxybenzene (H5L) is described. The reaction in pyridine or DMF of this ligand with various M(AcO)2 salts (M = NiII, CoII, MnII) leads to very different products depending on the metal. Thus, the dinuclear complexes [M2(H3L)2(py)4] (M = NiII, 1; CoII, 2) or the linear zigzag tetranuclear clusters [Mn4(H2L)2(AcO)2(py)5] (3) and [Mn4(H2L)2(AcO)2(dmf)4] (4) have been synthesized and characterized crystallographically. Slow oxidation of complex 3 leads to the formation of the novel mixed-valence linear complex [Mn3(HL)2(py)6] (5), displaying an unprecedented asymmetric MnIIIMnIIIMnII topology. The coordination geometry of complexes 1 to 5 has been analyzed and discussed by means of continuous shape measures. Magnetic measurements of 3 and 5 demonstrate that the metals within these complexes weakly interact magnetically with coupling constants of J1 = -1.13 cm-1 and J2 = -0.43 cm-1 (S = 0) for complex 3 and J1 = -5.4 cm-1 and J2 = -0.4 cm-1 (S = 5/2) for complex 5 (using the H = -Sigma2JijSiSj convention). These results are consistent with X-band EPR measurements on these compounds.