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To improve dissemination and accessibility of guidelines to healthcare providers at our institution, guidance for infectious syndromes was incorporated into an electronic application (e-app). The objective of this study was to compare empiric antimicrobial prescribing before and after implementation of the e-app.
Design:
This study was a before-and-after trial.
Setting:
A tertiary-care, public hospital in Halifax, Canada.
Participants:
This study included pediatric patients admitted to hospital who were empirically prescribed an antibiotic for an infectious syndrome listed in the e-app.
Methods:
Data were collected from medical records. Prescribing was independently assessed considering patient-specific characteristics using a standardized checklist by 2 members of the research team. Assessments of antimicrobial prescribing were compared, and discrepancies were resolved through discussion. Empiric antimicrobial prescribing before and after implementation of the e-app was compared using interrupted time-series analysis.
Results:
In total, 237 patients were included in the preimplementation arm and 243 patients were included in the postimplementation arm. Pneumonia (23.8%), appendicitis (19.2%), and sepsis (15.2%) were the most common indications for antimicrobial use. Empiric antimicrobial use was considered optimal in 195 (81.9%) of 238 patients before implementation compared to 226 (93.0%) 243 patients after implementation. An immediate 15.5% improvement (P = .019) in optimal antimicrobial prescribing was observed following the implementation of the e-app.
Conclusions:
Empiric antimicrobial prescribing for pediatric patients with infectious syndromes improved after implementation of an e-app for dissemination of clinical practice guidelines. The use of e-apps may also be an effective strategy to improve antimicrobial use in other patient populations.
Antenatal multiple micronutrient supplements (MMS) are a cost-effective intervention to reduce adverse pregnancy and birth outcomes. However, the current WHO recommendation on the use of antenatal MMS is conditional, partly due to concerns about the effect on neonatal mortality in a subgroup of studies comparing MMS with iron and folic acid (IFA) supplements containing 60 mg of Fe. We aimed to assess the effect of MMS v. IFA on neonatal mortality stratified by Fe dose in each supplement.
Methods:
We updated the neonatal mortality analysis of the 2020 WHO guidelines using the generic inverse variance method and applied the random effects model to calculate the effect estimates of MMS v. IFA on neonatal mortality in subgroups of trials (n 13) providing the same or different amounts of Fe, that is, MMS with 60 mg of Fe v. IFA with 60 mg of Fe; MMS with 30 mg of Fe v. IFA with 30 mg of Fe; MMS with 30 mg of Fe v. IFA with 60 mg of Fe; and MMS with 20 mg of Fe v. IFA with 60 mg of Fe.
Results:
There were no statistically significant differences in neonatal mortality between MMS and IFA within any of the subgroups of trials. Analysis of MMS with 30 mg v. IFA with 60 mg of Fe (7 trials, 14 114 participants), yielded a non-significant risk ratio of 1·12 (95 % CI 0·83 to 1·50).
Conclusion:
Neonatal mortality did not differ between MMS and IFA regardless of Fe dose in either supplement.
Apolipoprotein E (APOE) E4 is the main genetic risk factor for Alzheimer’s disease (AD). Due to the consistent association, there is interest as to whether E4 influences the risk of other neurodegenerative diseases. Further, there is a constant search for other genetic biomarkers contributing to these phenotypes, such as microtubule-associated protein tau (MAPT) haplotypes. Here, participants from the Ontario Neurodegenerative Disease Research Initiative were genotyped to investigate whether the APOE E4 allele or MAPT H1 haplotype are associated with five neurodegenerative diseases: (1) AD and mild cognitive impairment (MCI), (2) amyotrophic lateral sclerosis, (3) frontotemporal dementia (FTD), (4) Parkinson’s disease, and (5) vascular cognitive impairment.
Methods:
Genotypes were defined for their respective APOE allele and MAPT haplotype calls for each participant, and logistic regression analyses were performed to identify the associations with the presentations of neurodegenerative diseases.
Results:
Our work confirmed the association of the E4 allele with a dose-dependent increased presentation of AD, and an association between the E4 allele alone and MCI; however, the other four diseases were not associated with E4. Further, the APOE E2 allele was associated with decreased presentation of both AD and MCI. No associations were identified between MAPT haplotype and the neurodegenerative disease cohorts; but following subtyping of the FTD cohort, the H1 haplotype was significantly associated with progressive supranuclear palsy.
Conclusion:
This is the first study to concurrently analyze the association of APOE isoforms and MAPT haplotypes with five neurodegenerative diseases using consistent enrollment criteria and broad phenotypic analysis.
The recent shootings at Virginia Polytechnic Institute and State University (Virginia Tech) suggest that an increased reliance upon the medical community to support public health violence prevention efforts may be warranted. As physicians are called upon to support these efforts, they must effectively balance their obligations to promote public safety with their traditional obligations to promote the best interests of their individual patients. To meet these concurrent ethical obligations, physicians' participation in public health violence prevention should seek to improve public safety without compromising the care of patients or exposing individuals to undue harm. Physicians should, therefore, report to the appropriate authorities those patients who are at risk of committing violent acts toward the public, but should only disclose the minimal amount of information that is necessary to protect the public. Moreover, physicians should also recommend the separation of violent individuals from the community at large when necessary to improve public safety while advocating for the provision of appropriate treatment measures to improve the patients' well-being. (Disaster Med Public Health Preparedness. 2007;1(Suppl 1):S38–S42)
To describe the identification, management, and clinical characteristics of hospitalized patients with influenza-like illness (ILI) during the peak period of activity of the 2009 pandemic strain of influenza A virus subtype H1N1 (2009 H1N1).
Design.
Retrospective review of electronic medical records.
Patients and Setting.
Hospitalized patients who presented to the emergency department during the period October 18 through November 14, 2009, at 4 hospitals in Cook County, Illinois, with the capacity to perform real-time reverse-transcriptase polymerase chain reaction testing for influenza.
Methods.
Vital signs and notes recorded within 1 calendar day after emergency department arrival were reviewed for signs and symptoms consistent with ILI. Cases of ILI were classified as recognized by healthcare providers if an influenza test was performed or if influenza was mentioned as a possible diagnosis in the physician notes. Logistic regression was used to determine the patient attributes and symptoms that were associated with ILI recognition and with influenza infection.
Results.
We identified 460 ILI case patients, of whom 412 (90%) had ILI recognized by healthcare providers, 389 (85%) were placed under airborne or droplet isolation precautions, and 243 (53%) were treated with antiviral medication. Of 401 ILI case patients tested for influenza, 91 (23%) had a positive result. Fourteen (3%) ILI case patients and none of the case patients who tested positive for influenza had sore throat in the absence of cough.
Conclusions.
Healthcare providers identified a high proportion of hospitalized ILI case patients. Further improvements in disease detection can be made through the use of advanced electronic health records and efficient diagnostic tests. Future studies should evaluate the inclusion of sore throat in the ILI case definition.
A unique interdisciplinary study of the relationships between climate, hydrology and human society from 20,000 years ago to the present day within the Jordan Valley. It describes how state-of-the-art models can simulate the past, present and future climates of the Near East, reviews and provides new evidence for environmental change from geological deposits, builds hydrological models for the River Jordan and associated wadis and explains how present day urban and rural communities manage their water supply. The volume provides a new approach and new methods that can be applied for exploring the relationships between climate, hydrology and human society in arid and semi-arid regions throughout the world. It is an invaluable reference for researchers and advanced students concerned with the impacts of climate change and hydrology on human society, especially in the Near East.
This chapter is concerned with the development and application of a modelling framework to investigate the sensitivity of the flows in the upper River Jordan to changes in daily and seasonal rainfall patterns, and the likely changes in the daily runoff in response to anthropogenic climate change. To this end, idealised climate scenarios as well as projections of future near-surface air temperature and precipitation from the HadRM3 climate model are used with a modelling framework incorporating the Pitman and INCA rainfall-runoff models to determine flow sensitivity to rainfall and the flow response to a scenario of projected climate change. The Pitman model was used to estimate the hydrologically effective rainfall (HER); the INCA model was used for simplified flood-routing. The INCA model was calibrated for the period 1989 to 1993, commensurate with the observed daily mean flows, and the goodness of fit coefficient R2 was 0.7, indicating a good fit to the observed dynamics, although the simulated flows were an overestimate of those observed owing to unquantifiable river abstractions. On a seasonal timescale, comparison between sensitivity scenarios with long and short rainy seasons showed that rainfall in the winter months had the greatest impact on flow. In response to projected changes in the climate for 2071–2100, the modelled flood flows in the scenario period were reduced by approximately 31% for the largest simulated flood and 25% for the 10th percentile flow in comparison to those in the control period from 1961 to 1990. […]
Wadi Faynan, southern Jordan, provides an archaeological record of human settlement from the Lower Palaeolithic to the Islamic period, and indeed into the present day. As for any long-term record of settlement, an understanding of the changes in economy and society requires knowledge about the impacts of climate and environment change on human communities, especially when dealing with settlement in arid landscapes. This chapter attempts to place the 10,000 years of Holocene settlement in Wadi Faynan between c. 12,000 and 2,000 years ago into its hydrological context. A rainfall-runoff model is used to examine the potential impacts of both Holocene climatic change and human behaviour on the hydrological behaviour of the wadi and then on human settlement. Wade et al. (this volume, Chapter 12) have shown that rainfall-runoff models can successfully simulate the behaviour of the present-day wadi system, demonstrating how such behaviour is sensitive to variability in rainfall and infiltration rates. Here we use the results of regional climate modelling to determine statistical properties of palaeo-rainfall for the Wadi Faynan and then use a stochastic weather generator (this volume, Chapter 5) to create a rainfall series which is used to drive the hydrological model. Results are used to explore the potential impacts of climatic variability on human communities from 12,000 to 2,000 years ago, demonstrating that palaeohydrology may provide a bridge between regional-scale climate data and local-scale cultural developments.
A survey of publicly available data from the Intergovernmental Panel on Climate Change (IPCC) suggests that the Middle East will become significantly drier as greenhouse gas levels rise – with potentially devastating consequences. Simulating the climate of the eastern Mediterranean and the Middle East is, however, a tough challenge for climate models and those results should be interpreted with caution. The cyclones which migrate from west to east across the Mediterranean in winter and early spring, and which deliver much of the annual precipitation to the Middle East, are not well resolved by global climate models of the type included in the IPCC archive. Furthermore, the local climate is modified by coastlines and mountains throughout the region. For these reasons we provide a supplement to the IPCC results with simulations from a regional climate model. As in the global models, the regional model projects that, under an A2 (business-as-usual) scenario, precipitation will decrease significantly in the Middle East. Further investigation of the daily statistics of the weather, along with tracking of weather systems in the present day and future climate scenarios, suggest that the dominant mechanism for these changes is a reduction in the strength of the Mediterranean storm track. The Mediterranean storm track is fairly well simulated by the regional climate model, increasing confidence in this projection. […]
The arid climate of the Middle East means that variations in rainfall on all timescales from days to years have an enormous impact on the people who live in the region. Understanding this variability is crucial if we are to interpret model simulations of the region's climate and make meaningful predictions of how the climate may change in the future and how it has changed in the past (Chapters 3 and 4). This study uses rain gauge measurements in conjunction with other meteorological data to address the following questions. How does rainfall vary from day to day and from year to year? How does rainfall vary spatially within Jordan and Israel? How does the atmospheric circulation over the Mediterranean region affect the daily probability of rain? What effect do large-scale modes of variability such as the North Atlantic Oscillation have on rainfall variability in the region?
INTRODUCTION
Variability in precipitation has posed a considerable challenge to the population of the Middle East throughout the Holocene, and continues to be a key issue today. Understanding this variability is crucial for the design and interpretation of climate model experiments that characterise how precipitation has changed in the past and predict how it will change in the future.
When used in conjunction, climate models and palaeoenvironmental data can lead to a more complete understanding of past climate than is possible using either method in isolation. Moreover, the veracity of climate models can be evaluated, which then lends credence to their use for predicting future climate change. In this study we investigate the transition to aridity in the eastern Mediterranean that occurred in the Holocene, a transition with marked consequences for settlement of the Middle East. We show that the general pattern of a transition during the Holocene to a wetter northern Europe and a drier Middle East is seen in both the palaeoenvironmental record and climate model simulations. The pattern of precipitation changes projected by the climate model for the past is similar to those projected for the end of the twenty-first century under GHG-driven climate change. The climate model's ability to represent the past – as tested against palaeoenvironmental observations – thus lends credence to the future projections.
INTRODUCTION
The Holocene climate of the Middle East can be investigated using climate proxies and geological evidence (Chapters 6 and 7, this volume) or through climate modelling (Chapter 3). In this chapter, we show how combining these two approaches has the potential to deepen our understanding of the past climate. We also describe how comparison between the climate model output, proxy data and historical observations provides a means of evaluating the climate models and assessing the credibility of future projections.
This chapter is concerned with a model-based assessment of the effects of projected climate change on water security in the rural west of Jordan. The study area is the Wadi Hasa, a large (2,520 km2) catchment which drains from the Jordanian plateau to the Dead Sea at Ghor Safi. The Wadi Hasa is regionally important in terms of both water resources and archaeology. A substantial database was collated to describe the hydrological functioning of the catchment and a new monthly time-step hydrological model, HYSIMM, was developed and applied within a modelling framework, which also includes the HadRM3 regional climate model and a weather generator, to provide future projections of mean monthly flows. Under the A2 storyline, the climate in the region of Wadi Hasa in 2071–2100 was projected to become drier, with a mean annual precipitation 25% less than the present day, and warmer; winter and summer temperatures were projected to increase by approximately 4 and 6 degrees centigrade, respectively. Spatial differences in the projected precipitation depths and temperatures are apparent across the region. The modelled outcomes suggest that the mean monthly flows will decrease in winter because of the reduced precipitation, and the modelled flows were more sensitive to changes in precipitation than potential evapotranspiration. Overall, the monthly flood flows are predicted to decrease by 22% and the base flow by 7% by the end of the century under the A2 storyline. […]