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Turbulence driven by gyrokinetic instabilities is largely responsible for transport in magnetic fusion devices. To estimate this turbulent transport, integrated modelling codes often use mixing length estimates in conjunction with reduced models of the linearized gyrokinetic equation. One common method of formulating and solving the linearized gyrokinetic eigenvalue problem equation uses a Ritz variational principle, particularly in the local collisionless limit. However, the variational principle as typically stated in the literature is mathematically incorrect. In this work, we derive a mathematically correct form of the variational principle that applies to local linear collisionless gyrokinetics in general geometry with electromagnetic effects. We also explicitly derive a weak form of the gyrokinetic field equations suitable for numerical applications.
Asthma exacerbations are frequent causes of pediatric hospital admissions. We sought to develop a time series algorithm to forecast next-day daily asthma hospitalizations.
Methods:
Daily hospitalizations for asthma were collected at Cincinnati Children’s from January 1, 2016, to December 31, 2023. We evaluated Autoregressive Integrated Moving Average (ARIMA), Exponential Smoothing (ETS), Prophet, and Ensemble models to forecast next-day asthma hospitalizations validated on 2023 data, considering varying historical training data lengths. Forecasts were calibrated to identify days exceeding a 5% high-risk threshold of historical totals and considered multiple validation years and years before and during the COVID-19 pandemic.
Results:
A total of 5,593 hospital admissions were recorded for asthma. Over 2,922 days, 166 days met the 5% high-risk threshold equating to 6 or more admissions. The Ensemble (Median Absolute Percentage Error (MAPE): 46.7%; Positive Predictive Value (PPV): 0.278; Negative Predictive Value (NPV): 0.942; Area Under the ROC Curve (AUC): 0.740; Sensitivity: 0.800; Specificity: 0.656) model achieved higher accuracy of high-risk days than ARIMA (MAPE: 46.5%; PPV: 0.278; NPV: 0.942; AUC: 0.709; Sensitivity: 0.760; Specificity: 0.571), ETS (MAPE: 47.2%; PPV: 0.222; NPV: 0.939; AUC: 0.711; Sensitivity: 0.800; Specificity: 0.668), and Prophet (MAPE: 48.9%; PPV: 0.444; NPV: 0.951; AUC: 0.732; Sensitivity: 0.680; Specificity: 0.741) models.
Conclusions:
Our Ensemble model of mean predictions from ARIMA, ETS, and Prophet models was the most accurate in forecasting future asthma hospitalizations. Integrating forecasting techniques with clinical operations could enable proactive prevention through enhanced population care management.
Patients with cystic fibrosis (CF) experience frequent episodes of acute decline in lung function called pulmonary exacerbations (PEx). An existing clinical and place-based precision medicine algorithm that accurately predicts PEx could include racial and ethnic biases in clinical and geospatial training data, leading to unintentional exacerbation of health inequities.
Methods:
We estimated receiver operating characteristic curves based on predictions from a nonstationary Gaussian stochastic process model for PEx within 3, 6, and 12 months among 26,392 individuals aged 6 years and above (2003–2017) from the US CF Foundation Patient Registry. We screened predictors to identify reasons for discriminatory model performance.
Results:
The precision medicine algorithm performed worse predicting a PEx among Black patients when compared with White patients or to patients of another race for all three prediction horizons. There was little to no difference in prediction accuracies among Hispanic and non-Hispanic patients for the same prediction horizons. Differences in F508del, smoking households, secondhand smoke exposure, primary and secondary road densities, distance and drive time to the CF center, and average number of clinical evaluations were key factors associated with race.
Conclusions:
Racial differences in prediction accuracies from our PEx precision medicine algorithm exist. Misclassification of future PEx was attributable to several underlying factors that correspond to race: CF mutation, location where the patient lives, and clinical awareness. Associations of our proxies with race for CF-related health outcomes can lead to systemic racism in data collection and in prediction accuracies from precision medicine algorithms constructed from it.
OBJECTIVES/GOALS: To examine the individual and combined association between preoperative sleep disturbance (SD) and depression and 12-month disability, back pain, and leg pain after lumbar spine surgery (LSS). METHODS/STUDY POPULATION: We analyzed prospectively collected multi-center registry data from 700 patients undergoing LSS (mean age=60.9 years, 37% female, 89% white). Preoperative SD and depression were assessed with PROMIS measures. Established thresholds defined patients with moderate/severe symptoms. Disability (Oswestry Disability Index) and back and leg pain (Numeric Rating Scales) were assessed preoperatively and at 12 months. We conducted separate regressions to examine the influence of SD and depression on each outcome. Regressions examined each factor with and without accounting for the other and in combination as a 4-level variable. Covariates included age, sex, race, education, insurance, body mass index, smoking status, preoperative opioid use, fusion status, revision status, and preoperative outcome score. RESULTS/ANTICIPATED RESULTS: One hundred thirteen (17%) patients reported moderate/severe SD alone, 70 (10%) reported moderate/severe depression alone, and 57 (8%) reported both moderate/severe SD and depression. In independent models, preoperative SD and depression were significantly associated with 12-month outcomes (all p’s<0.05). After accounting for depression, preoperative SD was only associated with disability, while preoperative depression adjusting for SD remained associated with all outcomes (all p’s<0.05). Patients reporting both moderate/severe SD and moderate/severe depression had 12.6 points higher disability (95%CI=7.4 to 17.8) and 1.5 points higher back (95%CI=0.8 to 2.3) and leg pain (95%CI=0.7 to 2.3) compared to patients with no/mild SD and no/mild depression. DISCUSSION/SIGNIFICANCE: Preoperative SD and depression are independent predictors of 12-month disability and pain when considered in isolation. The combination of SD and depression impacts postoperative outcomes considerably. The high-risk group of patients with moderate/severe SD and depression could benefit from targeted treatment strategies.
The COVID-19 pandemic has disproportionally affected the mental health of health and social care workers (HSCWs), with many experiencing symptoms of depression, anxiety and post-traumatic stress disorder. Psychological interventions have been offered via mental health services and in-house psychology teams, but their effectiveness in this context is not well documented.
Aims
To evaluate a stepped-care psychological support pathway for HSCWs from Homerton Healthcare Foundation Trust in London, which offered psychological first aid, evidence-based psychological therapies and group-based well-being workshops.
Method
The service evaluation used a pre–post approach to assess depression, anxiety, functional impairment and post-traumatic stress disorder symptom change for those who attended sessions of psychological first aid, low- or high-intensity cognitive–behavioural therapy or a combination of these. In addition, the acceptability of the psychological first aid sessions and well-being workshops was explored via feedback data.
Results
Across all interventions, statistically significant reductions of depression (d = 1.33), anxiety (d = 1.37) and functional impairment (d = 0.93) were observed, and these reductions were equivalent between the interventions, as well as the demographic and occupational differences between the HSCWs (ethnicity, staff group and redeployment status). HSCWs were highly satisfied with the psychological first aid and well-being workshops.
Conclusions
The evaluation supports the utility of evidence-based interventions delivered as part of a stepped-care pathway for HSCWs with common mental health problems in the context of the COVID-19 pandemic. Given the novel integration of psychological first aid within the stepped-care model as a step one intervention, replication and further testing in larger-scale studies is warranted.
This paper examines the effectiveness of forward guidance shocks in the US. We estimate a New Keynesian model with imperfect central bank credibility and heterogeneous expectations using Bayesian methods and survey data from the Survey of Professional Forecasters (SPF). The results provide important takeaways: (1) The estimated credibility of the Fed’s forward guidance announcements is relatively high, but anticipation effects are attenuated. Accordingly, output and inflation do not respond as favorably as in the fully credible counterfactual. (2) The so-called “forward guidance puzzle” arises partly from the unrealistically large responses of macroeconomic variables to forward guidance under perfect credibility and homogeneous fully informed rational expectations, assumptions which are found to be jointly inconsistent with the observed US data. (3) Imperfect credibility provides a plausible explanation for the empirical evidence of forecasting error predictability based on forecasting disagreement found in the SPF data. Thus, we show that accounting for imperfect credibility and forecasting disagreements is important to understand the formation of expectations and the transmission mechanism of forward guidance.
Background: Carbapenem-resistant Enterobacteriaceae (CRE) are an important cause of healthcare-associated infections (HAIs) in human hospitals. The Philadelphia Department of Public Health (PDPH) made CRE reportable in April 2018. In May 2019, the Matthew J. Ryan Veterinary Hospital (MJRVH) reported an NDM-5 Escherichia coli cluster in companion animals to the PDPH. In total, 15 infected animals (14 dogs and 1 cat) were reported between July 2018 and June 2019, with no new infections after June 2019. Limited literature is available on the prevalence of CRE in companion animals, and recommendations for dealing with CRE infections currently target human healthcare settings. Methods: A collaborative containment response included assessing interspecies transmission to veterinary staff and a comprehensive evaluation of the infection control program at MJRVH. MJRVH notified all owners of affected animals verbally and via notification letters with PDPH recommendations for CRE colonization screening of high-risk individuals. CRE screening of exposed high-risk employees was conducted by the University of Pennsylvania Occupational Health service and PDPH. Human rectal swabs were analyzed at the Antibiotic Resistance Laboratory Network (ARLN) Maryland Laboratory. PDPH were invited to conduct an onsite infection control assessment and to suggest improvements. Results: No pet owners self-identified in high-risk groups to be screened. In total, 10 high-risk staff were screened, and no colonized individuals were detected. Recommendations made by the PDPH to MJRVH included improvement of infection prevention and control policies (eg, consolidation of the infection control manual and identification of lead staff member), improvement in hand hygiene (HH) compliance (eg, increasing amount of HH supplies), improvement of environment of care (eg, decluttering and evaluation of mulched animal relief area), and improvement of respiratory care processes (eg, standardization of care policies). MJRVH made substantial improvements across recommendation areas including revision of infection control manual, creation of a full-time infection preventionist position, individual alcohol hand sanitizers for patient cages, and environmental decluttering and decontamination. PDPH and MJRVH maintained frequent communication about infection control improvements. Conclusions: No positive transmission to high-risk staff members suggest that, like in human healthcare facilities, transmission of CRE to caretakers may not be a common event. Stronger communication and collaboration is required from Departments of Public Health (DPH) to the veterinary profession regarding the reporting requirements of emerging pathogens such as CRE. Veterinary facilities should view DPH as a valuable resource for recommendations to fill in gaps that exist in infection control “best practices,” particularly for novel pathogens in veterinary settings.
Funding: None
Disclosures: Jane M. Gould reports that her spouse receives salary from Incyte.
Background: The emergence of carbapenem-resistant Enterobacteriaceae (CRE) in companion animals will be a game changer for infection prevention and control strategies in veterinary and human healthcare facilities. CRE have emerged as an important cause of human healthcare-associated infections and are a major clinical and public health problem. Although reports of CRE from animals are still very rare, they have been documented in China, Europe, and the United States. Methods: In April 2019, a passive veterinary surveillance system identified the blaNDM-5 gene in an E. coli isolated from a dog in Philadelphia in July 2018. CRE are reportable to the Philadelphia Department of Public Health (PDPH), and in May 2019, the Matthew J. Ryan Veterinary Hospital at the University of Pennsylvania (MJRVH) reported a cluster of carbapenem-resistant E. coli (CR-E. coli) isolated from 14 animals to the PDHP. This cluster of 17 isolates, that all contained a blaNDM-5 gene, was the first report of a CR-E. coli outbreak at a US veterinary facility. The first isolate, E. coli 24213-18, was sequenced on the Pacific Biosciences (PacBio) Sequel Sequencer and has been uploaded to GenBank. Whole genome sequencing was performed on all 17 isolates using the Illumina MiSeq platform. Antimicrobial resistance genes were identified from the National Center for Biotechnology Information Pathogen Detection Isolates Browser using AMRFinder. Results: PacBio sequencing confirmed E. coli ST167 and identified a circular IncFII plasmid of 139,547 bp that contained the blaNDM-5 gene, along with many additional resistance genes. In June 2019, a retrospective review of hospital records was completed and showed that, from July 2018, 17 CR- E. coli were isolated from 14 animals. Conclusions: Control of CRE infections in human healthcare settings is challenging because the organisms colonize the gastrointestinal tract and can go undetected. The same issue is to be expected with companion animals. Healthcare-associated spread of CRE E. coli in a veterinary facility emphasizes the importance of rapidly identifying and characterizing carbapenem-resistant isolates from animals. Methods to control the spread of CRE in veterinary medical settings have not yet been studied, and related investigations will be critically important to limit the transmission of these pathogens in animal populations. The risk of transmission of CRE from animals to people is currently poorly understood. CRE will be a major challenge across all health fields as these organisms become more prevalent in the community. It is likely that a ‘One Health’ approach to surveillance, infection prevention, and antimicrobial stewardship will be required to limit the spread and potential global dominance of CRE.
Planning for the preterm birth of a fetus with known anomalies can raise complex ethical issues. This is particularly true of multiple pregnancies, where the interests of each fetus and of the expectant parent(s) can conflict. In these complex situations, parental wishes and values can also conflict with the recommendations of treating clinicians. In this article, we consider the case of a dichorionic twin pregnancy complicated by the diagnosis of vein of Galen aneurysmal malformation (VGAM) in one of the twins at 28 weeks’ gestation. Subsequent deterioration of the affected twin prompted the parents to request preterm delivery to prevent the imminent in-utero demise of the affected twin. However, given the associated risks of prematurity, complying with the parents’ request may have disadvantaged the health and wellbeing of the unaffected twin. This article canvases the complex ethical issues raised when parents request preterm delivery of a multiple pregnancy complicated by a fetal anomaly in one twin, and the various ethical tools and frameworks that clinicians can draw on to guide their decision-making in such cases.
It has been suggested that the risk of adverse perinatal outcomes in twin pregnancies is exacerbated by concomitant gestational diabetes mellitus (GDM). This study aimed to assess the risk incurred by twin pregnancy and by a diagnosis of GDM, separately, on the development of poor perinatal outcomes. A retrospective cohort study was conducted on all pregnant women at a tertiary center between 2016 and 2017. The impact of GDM and twin pregnancies on perinatal outcomes — birth weight above the 90th centile for gestational age, cesarean delivery, clinical neonatal hypoglycemia, and premature delivery (before 37 weeks’ gestation) — was assessed using univariate and multivariate analyses. Overall, 13,527 women were eligible for the study; 11,915 were uncomplicated singleton pregnancies; 1379 of these had GDM; 194 were twin pregnancies, and 39 of these had GDM. Univariate analyses showed that twin pregnancies were associated with a higher risk of all perinatal outcomes except macrosomia. In the multivariate analyses, twin pregnancy was a much higher predictor of cesarean delivery (OR 8.40, 95% CI [6.25, 11.49], p < .0001) and preterm birth (OR 58.82, 95% CI [31.25, 125], p < .0001) compared to GDM but GDM was a higher predictor of neonatal hypoglycemia (OR 4.87, 95% CI [3.74, 6.29], p < .0001). Twin pregnancy is more strongly associated with all adverse perinatal outcomes except macrosomia. GDM does not increase risk of adverse perinatal outcomes except for neonatal hypoglycemia.
This paper tests the ability of New Keynesian models to match the data regarding a key channel for monetary transmission: the dynamic interactions between macroeconomic variables and their corresponding expectations. We exploit survey expectations data and adopt a dynamic stochastic general equilibrium (DSGE)-VAR approach to assess the extent and sources of model misspecification. The results point to serious misspecification in the expectations-formation side of the DSGE model. The rational expectations hypothesis is primarily responsible for the model's failure to capture the co-movements between observed macroeconomic expectations and realizations. Alternative models of expectations formation help partially reconcile the New Keynesian model with the data.
Green manure crops must produce high biomass to supply biological N, increase organic matter and control weeds. The objectives of our study were to assess above-ground biomass productivity and weed suppression of clover (Trifolium spp.) green manures in an organic soybean [Glycine max (L.) Merr.]-winter wheat (Triticum aestivum L.)-corn (Zea mays L.) rotation in eastern Nebraska in three cycles (2011–12, 2012–13, 2013–14). Treatments were green manure species [red clover (T. pratense L.) and white clover (T. repens L.)] undersown into winter wheat in March and green manure mowing regime (one late summer mowing or no mowing). We measured wheat productivity and grain protein at wheat harvest, and clover and weed above-ground biomass as dry matter (DM) at wheat harvest, 35 days after wheat harvest, in October and in April before clover termination. Winter wheat grain yields and grain protein were not affected by undersown clovers. DM was higher for red than for white clover at most sampling times. Red clover produced between 0.4 and 5.5 Mg ha−1 in the fall and 0.4–5.2 Mg ha−1 in the spring. White clover produced between 0.1 and 2.5 Mg ha−1 in the fall and 0.2–3.1 Mg ha−1 in the spring. Weed DM was lower under red clover than under white clover at most sampling times. In the spring, weed DM ranged from 0.0 to 0.6 Mg ha−1 under red clover and from 0.0 to 3.1 Mg ha−1 under white clover. Mowing did not consistently affect clover or weed DM. For organic growers in eastern Nebraska, red clover undersown into winter wheat can be a productive green manure with good weed suppression potential.
The benefits of fetoscopic laser photocoagulation (FLP) for treatment of twin-to-twin transfusion syndrome (TTTS) have been recognized for over a decade, yet access to FLP remains limited in many settings. This means at a population level, the potential benefits of FLP for TTTS are far from being fully realized. In part, this is because there are many centers where the case volume is relatively low. This creates an inevitable tension; on one hand, wanting FLP to be readily accessible to all women who may need it, yet on the other, needing to ensure that a high degree of procedural competence is maintained. Some of the solutions to these apparently competing priorities may be found in novel training solutions to achieve, and maintain, procedural proficiency, and with the increased utilization of ‘competence based’ assessment and credentialing frameworks. We suggest an under-utilized approach is the development of collaborative surgical services, where pooling of personnel and resources can improve timely access to surgery, improve standardized assessment and management of TTTS, minimize the impact of the surgical learning curve, and facilitate audit, education, and research. When deciding which centers should offer laser for TTTS and how we decide, we propose some solutions from a collaborative model.
The current paper describes Diet In Nutrients Out (DINO), an integrated dietary assessment system incorporating dietary data entry and nutritional analysis within one platform for use in dietary assessment in small-scale intervention studies to national surveys.
Design
DINO contains >6000 food items, mostly aggregated composites of branded foods, across thirty-one main food groups divided into 151 subsidiary groups for detailed reporting requirements, with fifty-three core nutrient fields.
Setting
MRC Human Nutrition Research (HNR), Cambridge, UK and MRC Keneba, Gambia.
Subjects
DINO is used across dietary assessment projects at HNR and MRC Keneba.
Results
DINO contains macro- and micronutrients as well as additional variables of current research and policy interest, such as caffeine, whole grains, vitamin K and added sugars. Disaggregated data are available for fruit, vegetables, meat, fish and cheese in composite foods, enabling greater accuracy when reporting food consumption or assessing adherence to dietary recommendations. Portion sizes are categorised in metric and imperial weights, with standardised portion sizes for each age group. Regular reviews are undertaken for portion sizes and food composition to ensure contemporary relevance. A training programme and a checking schedule are adhered to for quality assurance purposes, covering users and data. Eating context questions are integrated to record where and with whom the respondent is eating, allowing examination between these factors and the foods consumed.
Conclusions
An up-to-date quality-assured system for dietary assessment is crucial for nutritional surveillance and research, but needs to have the flexibility to be tailored to address specific research questions.
Few studies have considered the combined effects of home-related determinants on children's diet. The present study investigated independent associations between sociodemographic and food practice (SFP) characteristics and fruit and vegetable consumption in UK children and the combined effects of SFP on consumption using pattern analysis.
Design
Diet was assessed using 4 d food diaries, SFP were collected using computer-assisted personal interview. Linear regressions were used to test associations; principal component analysis was used to identify patterns of SFP characteristics. Regression of fruit (g/d) and vegetables (g/d) v. component scores of each pattern were performed.
Setting
UK National Diet and Nutrition Survey Rolling Programme (2008–2010).
Subjects
Children aged 1·5–10 years (n 642).
Results
Significant associations were found between fruit and vegetable consumption and household socio-economic status. Pattern 1, which was positively correlated with household structure characteristics, was associated with increased fruit consumption (P < 0·001). Pattern 2, characterised by positive correlations for socio-economic status, fruit availability and organic food purchase, and negatively correlated with household size and the number of children per household, was associated with higher fruit and vegetable consumption (both P < 0·001). Pattern 3, characterised by high frequency of eating out and eating takeaway, was associated with a lower consumption of both fruit (P < 0·012) and vegetables (P < 0·023).
Conclusions
Patterns of SFP determinants may be more informative than individual characteristics in relation to dietary outcomes. Results have public health implications on the healthfulness of meals eaten out of home and in takeaways, as well as the need to reduce diet inequality in larger households with lower socio-economic status.
Healthcare professionals require an understanding of how the behaviour and characteristics of both patients and assessors can affect suicide risk identification and response. This article reviews the literature on how we currently assess suicide risk and considers the need for a paradigm shift in how healthcare professionals engage with and assess suicidal patients. It also reviews some of the evidence base for interventions to mitigate the risk of suicide and promotes pragmatic and compassionate interventions.
The death of a patient by suicide can severely affect mental health professionals, particularly if it occurs despite major efforts to intervene. Notwithstanding the difficulties faced by clinicians, suicide prevention remains of paramount importance in order to help save lives. This article seeks to promote a pragmatic and compassionate biopsychosocial response using evidence-based interventions to reduce suicide. It introduces practical strategies that psychiatrists can use in everyday clinical practice, in particular the paradigm shift of suicide mitigation to help prevent suicide. We believe that every encounter with a suicidal person is an opportunity to intervene to reduce their distress and, potentially, to save a life. We believe that it is no longer acceptable for clinicians to state that if patients wish to kill themselves they can do so, in the absence of any attempt at a compassionate intervention.