End-of-life Models and Emergency Department Care

Many people die in emergency departments (EDs) across the United States from sudden illnesses or injuries, an exacerbation of a chronic disease, or a terminal illness. Frequently, patients and families come to the ED seeking lifesaving or life-prolonging treatment. In addition, the ED is a place of transition-patients usually are transferred to an inpatient unit, transferred to another hospital, or discharged home. Rarely are patients supposed to remain in the ED. Currently, there is an increasing amount of literature related to end-of-life care. However, these end-of-life care models are based on chronic disease trajectories and have difficulty accommodating sudden-death trajectories common in the ED. There is very little information about end-of-life care in the ED. This article explores ED culture and characteristics, and examines the applicability of current end-of-life care models.     

小鼠吗啡依赖纳洛酮催促戒断跳跃反应模型的建立

目的建立稳定的小鼠吗啡依赖纳洛酮催促戒断跳跃反应模型。方法小鼠连续皮下注射吗啡,以纳洛酮催促戒断跳跃反应为指标,调整吗啡给予天数(5,6,7,10d)、吗啡累积剂量(360,560,640,945,1100,1105,1200mg/kg)、每日给予吗啡的频数[一天二次(bid),一天三次(tid)]、纳洛酮催促紧前给予吗啡与否、以及纳洛酮剂量(10,20mg/kg),建立四个造模方案包括八个子方案。结果方案A、B2、C2吗啡组小鼠跳跃反应率未达100%;方案B1、C1、D2、D3、D4吗啡组小鼠跳跃次数变异系数较大。方案D1采用小鼠连续皮下注射倍增剂量的吗啡,tid×6d,每日每次剂量分别为5,10,20,40,80,160mg/kg;第7天皮下注射吗啡160mg/kg,3h后腹腔注射纳洛酮10mg/kg,吗啡组小鼠可产生显著的跳跃反应,与对照组比较差异有显著性(P<0.01),且变异系数小(CV为0.22),该方案吗啡依赖小鼠跳跃反应次数适度,离散度小。结论选用方案D1可建立稳定的小鼠戒断跳跃反应模型。     

实验性大鼠液压分级颅脑损伤模型的建立与研究

用自制液压冲击颅脑损伤仪对大鼠的头部由轻到重的４种冲击力产生４级脑损伤。１级可以无明显病理生理变化；２～４级则随冲击力的加重病理生理变化亦加重。这些变化包括心率，呼吸，血压，颅内压，脑水份含量与伊文思蓝蓝染范围测定以及病理学的变化。     

Using a supervisory framework to support and evaluate a multiproject practice development programme

? The paper describes a multiproject practice development programme undertaken over a period of 1 year. ? The background and development of the programme are outlined, whilst attention is paid to the innovatory nature of the work, particularly the use of inductive, deductive and integrated approaches to both change implementation and project supervision. ? The programme was monitored throughout using different data sources and the paper uses evaluative material retrospectively to provide answers to organizational and professional difficulties which arose during the course of the programme. ? The authors conclude that the use of combinations of different models for practice development has potential, but requires careful supervision. ? They also recommend that those involved in practice development are made fully aware of its local or micropolitics, and develop strategies to deal with change before it occurs, not after it has taken place.     

阿拉善黄鼠疫源地动物鼠疫预报的数学模型

根据我国阿拉善黄鼠鼠疫自然疫源地1981～1993年鼠疫监测资料，采用多元逐步曲线回归分析，建立了预报阿拉善黄鼠鼠疫流行的数学模型，其拟合率为100%，并得出影响鼠疫流行的主要因子为黄鼠密度和巢蚤指数。     

鼻咽癌病因学的病例—对照研究

本文以病例—对照的方法探讨了在黑龙江省与鼻咽癌发生有关的危险因素。调查鼻咽癌病例及对照共127对。在单因素与条件Logistic回归分析中均表明幼儿期食咸鱼(OR=5.5, χ²=4.92, P<0.05)及长期生活在烧煤的环境中(OR=1.894, χ²=4.655, P<0.05)可能与鼻咽癌的发生有关。此外,条件Logistic回归分析还发现,鼻窦炎病史也可能与鼻咽癌的发生有联系(B=1.385, exp(B)=3,995, P<0.1)。在对病例及对照的一级亲属患恶性肿瘤情况的调查中发现,鼻咽癌病例组有肿瘤家族史者多于对照组,其差异有统计学意义(χ²=10.32, P<0.01)。     

Effects of exposure to air pollution on blood coagulation

BACKGROUND: Consistent evidence has indicated that air pollution increases the risk of cardiovascular diseases. The underlying mechanisms linking air pollutants to increased cardiovascular risk are unclear. OBJECTIVES: We investigated the association between the pollution levels and changes in such global coagulation tests as the prothrombin time (PT) and the activated partial thromboplastin time (APTT) in 1218 normal subjects from the Lombardia Region, Italy. Plasma fibrinogen and naturally occurring anticoagulant proteins were also evaluated. METHODS: Hourly concentrations of particulate (PM10) and gaseous pollutants (CO, NO2, SO2, and O3) were obtained from 53 monitoring sites covering the study area. Generalized additive models were applied to compute standardized regression coefficients controlled for age, gender, body mass index, smoking, alcohol, hormone use, temperature, day of the year, and long-term trends. RESULTS: The PT became shorter with higher ambient air concentrations at the time of the study of PM10 (coefficient = -0.06; P < 0.05), CO (coefficient = -0.11; P < 0.001) and NO2 (coefficient =-0.06; P < 0.05). In the 30 days before blood sampling, the PT was also negatively associated with the average PM(10) (coefficient = -0.08; P < 0.05) and NO2 (coefficient = -0.08; P < 0.05). No association was found between the APTT and air pollutant levels. In addition, no consistent relations with air pollution were found for fibrinogen, antithrombin, protein C and protein S. CONCLUSIONS: This investigation shows that air pollution is associated with changes in the global coagulation function, suggesting a tendency towards hypercoagulability after short-term exposure to air pollution. Whether these changes contribute to trigger cardiovascular events remains to be established.     

Evaluating risk factors associated with severe hypoglycaemia in epidemiology studies—what method should we use?

AIMS: To determine the most appropriate regression models to use when assessing risk factors for severe hypoglycaemia and to investigate the impact of model misspecification and its clinical implications. METHODS: A total of 1229 children with Type 1 diabetes (mean age 11.7 years sd 4.1), of which 605 (49.2%) were males, were studied. Prospective assessment of severe hypoglycaemia (an event leading to loss of consciousness or seizure) was made over the 9-year period, 1992-2001. Patients were seen every 3 months and episodes of hypoglycaemia along with clinical data were recorded. Over 70% of children never experienced a severe hypoglycaemic event. Data were analysed using the Poisson regression, negative binomial, zero-inflated Poisson (ZIP) and zero-inflated negative binomial (ZINB) models. The over-dispersion and likelihood ratio statistics were calculated and the analytical methods compared. RESULTS: The Poisson regression model did not fit the data well. The negative binomial and the zero inflated Poisson and negative binomial models fitted the data better than Poisson. CONCLUSIONS: The commonly used Poisson regression models to analyse hypoglycaemia epidemiology may lead to biased parameter estimates and incorrect determination of risk factors for hypoglycaemia. We recommend the use of the negative binomial or zero inflated models to examine any risk factors associated with severe hypoglycaemia. Careful consideration must be given to the interpretation of hypoglycaemia surveys and their analysis.