Analysis of Partially Observed Networks via Exponential-family Random Network Models

Exponential-family random network (ERN) models specify a joint representation of both the dyads of a network and nodal characteristics. This class of models allow the nodal characteristics to be modelled as stochastic processes, expanding the range and realism of exponential-family approaches to network modelling. In this paper we develop a theory of inference for ERN models when only part of the network is observed, as well as specific methodology for missing data, including non-ignorable mechanisms for network-based sampling designs and for latent class models. In particular, we consider data collected via contact tracing, of considerable importance to infectious disease epidemiology and public health

Climate change : a response surface study of the effects of CO2 and temperature on the growth of French beans

The possible impact of global rises in atmospheric CO2 concentration and temperature on the growth and development of French beans (Phaseolus vulgaris) was examined using growth cabinets. Five CO2 concentrations of 350, 450, 550, 650 and 750 vpm and five temperatures of 14·5, 15·5, 16·5, 17·5 and 18·5°C were tested using a fractional factorial design comprising nine treatment combinations of the two factors. Plants were grown under constant irradiance, common atmospheric humidities (vpd 0·5 kPa) and non-limiting supplies of water and mineral nutrients. The plant growth response was modelled by fitting polynomial response function curves to the times to first flower opening, first bean set, 50% maturity and the number and yield of beans. The effects of temperature were large and positive for most of the measured variables, whereas the effects of CO2 were small and negative or non-existent. Increased temperature substantially reduced the time to flowering and the time from bean set to 50% maturity and increased the number and yield of mature beans whereas increased CO2 concentration had little effect on plant growth except that bean yield was very slightly reduced. There was no significant evidence of interaction between the CO2 concentration effects and the temperature effects. The time to maturity and yield of mature beans was simulated for the 2020s (2010 to 2039) and the 2050s (2040 to 2069) using the fitted polynomial models and four climate change scenarios suggested by the UK Climate Impacts Programme. These simulations showed that, depending upon the assumed scenario, the 2020s yields could rise by 39–84% and time to maturity reduce by between 6 and 15 days whereas the 2050s yields could rise by 51–118% and time to maturity reduce by between 9 and 25 days

Variation between Point-of-Care and Laboratory HbA1cTesting in Clinical Practice

Aims: The aim of this study was to identify potential disparities between Point-Of-Care Testing (POCT) and laboratory hemoglobinH bA1c reporting at a Federally Qualified Health Center (FQHC).Methods: The electronic medical record was reviewed to identify POCT HbA1c done at a FQHC and centralized laboratory HbA1c performed on the same day. Manual data extraction was used to identify potential variables that could account for disparities between POCT and laboratory testing.Results: A total of 42 samples in 40 patients were identified. The median HbA1c difference was 1.5mmol/mol (0.15%) and ranged from -26-52 mmol/mol (-2.4 to 4.8%). Of the patients in the study, two had underlying co morbidities that could affect the POCT HbA1c.Conclusion: Point-of-care HbA1c testing should not be used in solidarity to diagnosis pre-diabetes and diabetes. When using HbA1c results to guide therapy, self-monitoring of blood glucose and symptoms of both hypo- and hyperglycemia should be correlated to help determine appropriate therapy

How Should Non-Probate Transfers Matter in Intestacy?

Current intestacy laws inadequately meet the needs of intestates. This study demonstrates that the new heir reform increases the likelihood of promoting intestates’ donative intent in a growing number of twenty-first century familial situations

Practical use of blactchford score

Aim: To retrospectively evaluate the use of proton pump inhibitor infusions. Methods: A retrospective chart review was conducted of all patients who received an 80 mg bolus of esomeprazole follow by an infusion at 8 mg/hr. An analysis was performed to determine if a Blatchford Score of \u3e 5 was a predictor of upper gastrointestinal ulcers. Results: 300 patients received high dose esomeprazole over a 15 month period. 32% had an ulcer identified on endoscopy. Gastritis and esophagitis were the second most common diagnosis accounting for 16% of patients. A Blatchford Score of \u3e5 as a predictor of upper gastrointestinal ulcers had a sensitivity of 86.5% with a specificity of 32%. Conclusion: Utilizing the Blatchford Score to predict patients that have an upper gastrointestinal ulcer does not appear to be effective in clinical practice

Mood Disorders and Gluten: It’s Not All in Your Mind! A Systematic Review with Meta-Analysis

Gluten elimination may represent an effective treatment strategy for mood disorders in individuals with gluten-related disorders. However, the directionality of the relationship remains unclear. We performed a systematic review of prospective studies for effects of gluten on mood symptoms in patients with or without gluten-related disorders. Six electronic databases (CINAHL, PsycINFO, Medline, Web of Science, Scopus and Cochrane Library) were searched, from inception to 8 August 2018, for prospective studies published in English. Meta-analyses with random-effects were performed. Three randomised-controlled trials and 10 longitudinal studies comprising 1139 participants fit the inclusion criteria. A gluten-free diet (GFD) significantly improved pooled depressive symptom scores in GFD-treated patients (Standardised Mean Difference (SMD) −0.37, 95% confidence interval (CI) −0.55 to −0.20; p < 0.0001), with no difference in mean scores between patients and healthy controls after one year (SMD 0.01, 95% CI −0.18 to 0.20, p = 0.94). There was a tendency towards worsening symptoms for non-coeliac gluten sensitive patients during a blinded gluten challenge vs. placebo (SMD 0.21, 95% CI −0.58 to 0.15; p = 0.25). Our review supports the association between mood disorders and gluten intake in susceptible individuals. The effects of a GFD on mood in subjects without gluten-related disorders should be considered in future research

A Review of the Food and Drug Administration Adverse Event Reporting System for Tramadol-Related Hypoglycemia

Background: Hypoglycemia is a rare adverse effect of tramadol that is described in the medical literature and package insert. Objective: The purpose of this study was to review reports of tramadol and hypoglycemia in the Food and Drug Administration Adverse Event Reporting System (FAERS) database to determine a potential association. Methods: Disproportionality analysis with Bayesian correction was used to compare tramadol and hypoglycemia with other medications in FAERS. The results were considered significant if the fifth percentile of the Empirical Bayesian geometric mean distribution (EB05) \u3e2. Logistic regression odds ratios was used to determine if age, diabetes medications, and renal insufficiency masked the disproportionality of hypoglycemia, with the fifth percentile of the logistic regression odds ratio (LR05) \u3e2 indicating a potential signal. The Interaction Signal Score (INTSS) was computed to determine the influence of predisposing risk factors on the signal. Results: A total of 605 cases of tramadol-associated hypoglycemia were reported, but our results were not significant (EB05: 1.590). Tramadol-associated hypoglycemia was significant in patients who did not take diabetes medications (EB05: 2.256; LR05: 2.2104). Renal insufficiency was not found to increase the risk of tramadol-associated hypoglycemia (INTSS: 0.865). There was a significant signal for tramadol-associated hypoglycemia in patients aged 0 to 1 year (LR05: 3.0240) and 2 to 4 years (LR05: 2.6853). Conclusion and Relevance: Results of our analysis suggest a potential signal between hypoglycemia and tramadol use in patients not taking diabetes medications. Our results do not support a predisposition for tramadol-associated hypoglycemia in patients with renal insufficiency, increasing age, and/or diabetes as noted in the tramadol package insert