2,290 research outputs found
Dwight D. Eisenhower to Dillon Anderson, October 16, 1956
No full textEisenhower thanks Anderson for his birthday wishesClass of Service
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Development of a decision support tool to facilitate primary care management of patients with abnormal liver function tests without clinically apparent liver disease [HTA03/38/02]. Abnormal Liver Function Investigations Evaluation (ALFIE)
No full textLiver function tests (LFTs) are routinely performed in primary care, and are often the gateway to further invasive and/or expensive investigations. Little is known of the consequences in people with an initial abnormal liver function (ALF) test in primary care and with no obvious liver disease. Further investigations may be dangerous for the patient and expensive for Health Services. The aims of this study are to determine the natural history of abnormalities in LFTs before overt liver disease presents in the population and identify those who require minimal further investigations with the potential for reduction in NHS costs
Business Model Innovation of JF Logistics Company
No full text摘要 随着全球化经济的发展，市场竞争变得越来越复杂。信息时代使得物流供应链管理已上升到企业的战略管理高度。在这样的背景下，本文应用翁君奕老师的介观商务模式创新观点，对JF物流公司所处行业现状进行剖析，重新审视了外部客户市场以及内部自身情况，找出了JF物流公司自身的优势，并结合外部市场客户的需求，提出了“为客户提供个性化的集物流、资金流、信息流于一体的供应链物流服务”这一价值主张，并在此基础上，重新定位客户市场，创新服务产品，理顺内部管理架构和业务流程以支撑和保持这一价值主张。文中同时以例证来说明依据新价值主张所创新的服务产品给JF物流公司所带来的变化，以此说明通过商务模式创新来实行自身的战略...Abstract With the development of the global economy, the competition in market becomes more complicated. In the era of information, logistics and supply chain management is regarded as important as part of the company strategy. Under such background , the author of this essay uses the concept of “JieGuan Business Model Innovation” proposed by Professor Weng Junyi of Xiamen University, and analy...学位：管理学硕士院系专业：管理学院高级经理教育中心（EMBA项目）_管理经济学学号：X200615614
Prediction of liver disease in patients whose liver function tests have been checked in primary care : model development and validation using population-based observational cohorts
No full textPublished by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.Peer reviewe
The utility of liver function tests for mortality prediction within one year in primary care using the algorithm for liver function investigations (ALFI)
No full textBACKGROUND: Although liver function tests (LFTs) are routinely measured in primary care, raised levels in patients with no obvious liver disease may trigger a range of subsequent expensive and unnecessary management plans. The aim of this study was to develop and validate a prediction model to guide decision-making by general practitioners, which estimates risk of one year all-cause mortality in patients with no obvious liver disease.METHODS: In this population-based historical cohort study, biochemistry data from patients in Tayside, Scotland, with LFTs performed in primary care were record-linked to secondary care and prescription databases to ascertain baseline characteristics, and to mortality data. Using this derivation cohort a survival model was developed to predict mortality. The model was assessed for calibration, discrimination (using the C-statistic) and performance, and validated using a separate cohort of Scottish primary care practices.RESULTS: From the derivation cohort (n?=?95 977), 2.7% died within one year. Predictors of mortality included: age; male gender; social deprivation; history of cancer, renal disease, stroke, ischaemic heart disease or respiratory disease; statin use; and LFTs (albumin, transaminase, alkaline phosphatase, bilirubin, and gamma-glutamyltransferase). The C-statistic for the final model was 0.82 (95% CI 0.80-0.84), and was similar in the validation cohort (n?=?11 653) 0.86 (0.79-0.90). As an example of performance, for a 10% predicted probability cut-off, sensitivity?=?52.8%, specificity?=?94.0%, PPV?=?21.0%, NPV?=?98.5%. For the model without LFTs the respective values were 43.8%, 92.8%, 15.6%, 98.1%.CONCLUSIONS: The Algorithm for Liver Function Investigations (ALFI) is the first model to successfully estimate the probability of all-cause mortality in patients with no apparent liver disease having LFTs in primary care. While LFTs added to the model's discrimination and sensitivity, the clinical utility of ALFI remains to be established since LFTs did not improve an already high NPV for short term mortality and only modestly improved a very low PPV
Temporal and spatial variability in speakers with Parkinson's Disease and Friedreich's Ataxia
No full textSpeech variability in groups of speakers with Parkinson's disease (PD) and with Friedreich's ataxia was compared with healthy controls. Speakers repeated the same phrase 20 times at one of two rates (fast or habitual). A non-linear analysis of variability was performed which used some of the principles behind the spatio-temporal index (STI). The STI usually employs variation in lip displacement over repetitions of the same utterance and a linear analysis of such signals is conducted to represent the combined variation in spatial and temporal control. When working with patients, audio measures (here we used speech energy) are preferred over kinematics ones as they are minimally disruptive to speech. Non-linear methods allow spatial variability to be estimated separately from temporal variability. The results are tentatively interpreted as showing that PD speakers were distinguished from healthy control speakers in spatial variability and ataxic speakers were distinguished from controls in temporal variability. These findings are consistent with the speech symptoms reported for these disorders. We conclude that the non-linear analysis using the speech energy measure is worth investigating further as it is potentially revealing of the differences underlying these two pathologies
Additional file 6 of Prevalence of chronic cough in China: a systematic review and meta-analysis
No full textAdditional file 6. Fig. S1. Distribution of children with chronic cough across Mainland China. NOTE: Red star in the map represents Beijing City. The map was developed in XL Toolbox NG by ourselves, without the conflict of copyright. Fig. S2. Pooled chronic cough prevalence of adults stratified by region. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S3. Pooled chronic cough prevalence of adults stratified by diagnostic criteria. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S4. Pooled chronic cough prevalence of adults stratified by year of publication. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S5. Pooled chronic cough prevalence of adults stratified by age. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S6. Pooled chronic cough prevalence of adults stratified by sampling methods. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S7. Pooled chronic cough prevalence of adults stratified by sample size. Abbreviations: CI, confidence intervals; ES, Effect Size. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S8. Pooled chronic cough prevalence of adults stratified by prevalence definitions. Abbreviations: CI, confidence intervals; ES, Effect Size. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S9. Pooled chronic cough prevalence of adults stratified by chronic cough definitions. Abbreviations: CI, confidence intervals; ES, Effect Size. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S10. Pooled chronic cough prevalence of adults stratified by quality of articles assessed by AHRQ. Abbreviations: CI, confidence intervals; ES, Effect Size. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S11. Pooled chronic cough prevalence of children stratified by region. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S12. Pooled chronic cough prevalence of children stratified by diagnostic criteria. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S13. Pooled chronic cough prevalence of children stratified by year of publication. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S14. Pooled chronic cough prevalence of children stratified by sample size. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S15. Pooled chronic cough prevalence of children stratified by chronic cough definitions. Abbreviations: CI, confidence intervals; ES, Effect Size. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S16. Pooled chronic cough prevalence of children stratified by quality of articles assessed by AHRQ. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S17. Pooled chronic cough prevalence of children stratified by prevalence definitions. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S18. Funnel plot for prevalence in studies of adults for chronic cough. Fig. S19. Sensitivity analysis for prevalence in studies of adults for chronic cough. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S20. The prevalence of chronic cough in adults after exclusion of the nationwide study (Li JC 2018). Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S21. The prevalence of chronic cough in adults after exclusion of the low prevalence study (ZHANG JF 1999). Abbreviations: CI, confidence intervals. NOTE: The two author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S22. Funnel plot for prevalence in studies of children for chronic cough. Fig. S23. Sensitivity analysis for prevalence in studies of children for chronic cough. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S24. Pooled prevalence of chronic cough in China (including adults and children). Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, the two author labels of Venners 2001 are from the same literature, and the four author labels of ZHANG JF 2002 are from the same literature
Joint faulting behaviour of innovative short concrete slabs
No full textPavements are one of the largest assets of a city and their functional condition (ride quality) is priority for their clients. In jointed plain concrete pavements (JPCPs), the presence of joint faulting (JF) reduces the ride quality. Today, short slabs are available as a cost-effective JPCP innovation. The objective of this paper is to analyse the JF behaviour of JPCPs with short slabs. For this, a deterioration model to predict it and trends of JF observed in short slabs of Chile and the United States are considered. The HDM-4 model always yields lower JF per joint in short slabs than in traditional ones. However, real-world short slabs show not only lower JF per joint (that the modelled JF), but also that more joints do not necessarily mean more JF per length of pavement that affect the ride quality. One of the relevant explanatory factors for it is the radical reduction of crack width at joints, which produces a fundamental increase of the load transfer efficiency. To maintain favourable behaviour observed in the field it is recommended to assure joint activation and to provide adequate stiffness of the layers below the short slabs.Pavement Engineerin
Metabolism of archidonic acid by 5-lipoxygenase in guinea-pig lung
No full textPT: J; CR: BURKA JF, 1981, PROSTAG OTH LIPID M, V22, P683 BURKA JF, 1983, J PHARMACOL EXP THER, V225, P427 PARKER CW, 1982, BIOCHEM BIOPH RES CO, V109, P1011 SAAD MH, 1983, PROSTAGLANDINS, V25, P741 SAAD MH, 1984, EUR J PHARMACOL, V100, P13 SCHIANTARELLI P, 1981, EUR J PHARMACOL, V73, P363; NR: 6; TC: 6; J9: PROSTAGLANDINS; PG: 2; GA: TU225Source type: Electronic(1
The Relation between Treated Maternal Urinary Tract Infection and Adverse Maternal, Prenatal Outcomes in Pregnant Women of Ardabil, Iran
No full textBackground and Objective: Urinary tract infection is one of the most common bacterial infections during pregnancy and has also been implicated as a risk factor for adverse maternal and prenatal outcomes. The aim of our study was to determine the relation between maternal urinary tract infection and adverse maternal, prenatal outcomes in pregnant women of Ardabil, Iran.
Material and Methods: This retrospective-case-control study was conducted on prenatal file records of pregnant women in Ardabil (2011). The pregnant women who had a positive urine culture in their prenatal files (N= 211) were considered as a case group and 232 ones without urinary tract infection as a control. Using a research- made questionnaire, the data related to present pregnancy and prenatal information was collected and analyzed by KrusKal Wallis, Chi- Square and Fisher statistical tests.
Results: Maternal age of under 25 (%61.6 vs. 56.5), body mass index of more than 30 (%18.3 vs. 15.6), primigravida (%55 vs. 48.8), hypertension (%2.4 vs. 1.3), hyperemesis Gravidarum (%14.8 vs. 12.6), frequency and dysuria (%1.9 vs. 0.9), low birth weight (%95.4 vs. 93.2), congenital malformation (%3.5 vs. 1.8), artificial milk feeding (%6.5 vs. 2.7), neonatal death (%0.9 vs. 0.0) are higher in urinary infection group, however the differences are not statistically significant. Other maternal and prenatal adverse outcomes such as diabetes, pre-eclampsia , hemoglobin level, prematurity, abortion and stillbirth have not significant relation with urinary infection.
Conclusion: Because of low level of adverse maternal or prenatal outcomes reported in our study, we conclude that screening and treatment of urinary tract infection in Ardabil health service is appropriate; therefore, no change is needed for present screening or treatment processes
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