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本文引用的文献

1
Is the prognosis of heart failure improving?心力衰竭的预后正在改善吗?
Eur J Heart Fail. 1999 Aug;1(3):229-41. doi: 10.1016/s1388-9842(99)00032-x.
2
Effects of systematic education on heart failure patients' knowledge after 6 months. A randomised, controlled trial.
Eur J Heart Fail. 1999 Aug;1(3):219-27. doi: 10.1016/s1388-9842(99)00041-0.
3
Comparison of different procedures to identify probable cases of myocardial infarction and stroke in two Swedish prospective cohort studies using local and national routine registers.在两项瑞典前瞻性队列研究中,利用当地和国家常规登记册比较不同程序以识别心肌梗死和中风的可能病例。
Eur J Epidemiol. 2000 Mar;16(3):235-43. doi: 10.1023/a:1007634722658.
4
Congestive heart failure in the United States: is there more than meets the I(CD code)? The Corpus Christi Heart Project.美国的充血性心力衰竭:是否存在比国际疾病分类代码(ICD 代码)所显示的更多情况?科珀斯克里斯蒂心脏项目。
Arch Intern Med. 2000 Jan 24;160(2):197-202. doi: 10.1001/archinte.160.2.197.
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Multilevel models: applications to health data.多层次模型:在健康数据中的应用。
J Health Serv Res Policy. 1996 Jul;1(3):154-64. doi: 10.1177/135581969600100307.
6
Hospitalization of patients with heart failure: National Hospital Discharge Survey, 1985 to 1995.心力衰竭患者的住院情况:1985年至1995年全国医院出院调查
Am Heart J. 1999 Feb;137(2):352-60. doi: 10.1053/hj.1999.v137.95495.
7
Annual league tables of mortality in neonatal intensive care units: longitudinal study. International Neonatal Network and the Scottish Neonatal Consultants and Nurses Collaborative Study Group.新生儿重症监护病房年度死亡率排行榜:纵向研究。国际新生儿网络及苏格兰新生儿顾问与护士协作研究小组。
BMJ. 1998 Jun 27;316(7149):1931-5. doi: 10.1136/bmj.316.7149.1931.
8
Reliability of league tables of in vitro fertilisation clinics: retrospective analysis of live birth rates.体外受精诊所排行榜的可靠性:活产率的回顾性分析
BMJ. 1998 Jun 6;316(7146):1701-4; discussion 1705. doi: 10.1136/bmj.316.7146.1701.
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League tables and acute myocardial infarction.排行榜与急性心肌梗死
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10
Context, composition and heterogeneity: using multilevel models in health research.背景、构成与异质性:健康研究中多级模型的应用
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心力衰竭首次住院后的生存率:瑞典急症医院患者的多层次分析

Survival after initial hospitalisation for heart failure: a multilevel analysis of patients in Swedish acute care hospitals.

作者信息

Merlo J, Ostergren P O, Broms K, Bjorck-Linné A, Liedholm H

机构信息

Department of Community Medicine, Malmö University Hospital, Lund University, Malmö, Sweden.

出版信息

J Epidemiol Community Health. 2001 May;55(5):323-9. doi: 10.1136/jech.55.5.323.

DOI:10.1136/jech.55.5.323
PMID:11297650
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1731888/
Abstract

STUDY OBJECTIVE

Although national variation in short-term prognosis (that is, 30 day mortality) after a patient's first hospitalisation for heart failure may depend on individual differences between patients, dissimilarities in hospital practices may also influence prognosis. This study, therefore, sought to disentangle patient determinants from institutional factors that might explain such variation.

DESIGN

A multilevel logistic regression modelling was performed with patients (1st level) nested in hospitals (2nd level). Institutional effects (that is, 2nd level variance and intra-hospital correlation) were calculated unadjusted and adjusted for specific patient (that is, age and previous diseases) and institutional (that is, size of hospital) characteristics. Patients were followed up until death or 30 days from hospital admission.

SETTING

Hospitals in Sweden.

PATIENTS

The study identified all the 20420 men and 17923 women (ages 65 to 85) admitted to the 90 acute care hospitals in Sweden during the period 1992-1995 for their first hospitalisation attributable to heart failure.

MAIN RESULTS

Patient age and previous diseases (particularly senile dementia) were major determinants of impaired prognosis. Institutional factors explained only 1.6% and 2.3% of the total variation in 30 day mortality in men and women, respectively. These modest institutional effects remained after adjusting for patient age and previous diseases, but were in part explained by hospital size.

CONCLUSIONS

National variation in short-term prognosis after an initial hospitalisation for heart failure was mainly explained by differences between patients, with hospital factors playing a minor part. Of the latter, hospital size seemed to emerge as one determinant (that is, the greater the number of patients, the better the individual prognosis).

摘要

研究目的

虽然患者首次因心力衰竭住院后的短期预后(即30天死亡率)存在国家间差异可能取决于患者个体差异,但医院诊疗行为的不同也可能影响预后。因此,本研究旨在区分可能解释这种差异的患者决定因素和机构因素。

设计

采用多级逻辑回归模型,患者(第一级)嵌套于医院(第二级)。计算未调整的机构效应(即第二级方差和医院内相关性),并针对特定患者(即年龄和既往疾病)和机构(即医院规模)特征进行调整。对患者进行随访直至死亡或入院后30天。

研究地点

瑞典的医院。

患者

该研究纳入了1992年至1995年期间因首次心力衰竭住院而入住瑞典90家急性护理医院的所有20420名男性和17923名女性(年龄65至85岁)。

主要结果

患者年龄和既往疾病(尤其是老年痴呆症)是预后受损的主要决定因素。机构因素分别仅解释了男性和女性30天死亡率总变异的1.6%和2.3%。在调整患者年龄和既往疾病后,这些适度的机构效应仍然存在,但部分可由医院规模解释。

结论

首次因心力衰竭住院后的短期预后存在国家间差异,主要由患者个体差异解释,医院因素起次要作用。在后者中,医院规模似乎是一个决定因素(即患者数量越多,个体预后越好)。