Intensive Care National Audit & Research Centre, Tavistock House, Tavistock Square, WC1H 9HR, London, UK.
J Crit Care. 2010 Sep;25(3):382-90. doi: 10.1016/j.jcrc.2009.11.003. Epub 2010 Jan 15.
Few studies have investigated the association between level of social deprivation and acute hospital outcome for admissions to adult general critical care units. It is important to be aware if an association exists because risk prediction models do not adjust for deprivation.
Deprivation was measured using the Index of Multiple Deprivation (IMD) 2004, developed using 2001 census data in England. Eighty-four thousand four hundred twenty-three admissions to 138 adult general critical care units in England were selected from the Case Mix Programme Database from 1 year before to 1 year after the census date and linked to the IMD using postcodes. Logistic regression analysis was used to investigate a possible association between quintile of IMD and acute hospital mortality.
As deprivation increased, acute hospital mortality also increased (P < .001). This association remained after adjusting for age, sex, acute severity, medial history, source of admission, and reason for admission to critical care (adjusted odds ratio for most vs least deprived quintile, 1.19; 95% confidence interval, 1.10-1.28).
There is an association between increasing deprivation and increasing risk of mortality for admissions to adult general critical care unit units in England. Further research is required to identify other unmeasured potential confounders (eg, smoking, alcohol consumption) as possible explanations for this association.
很少有研究调查社会剥夺程度与成人综合重症监护病房入院的急性住院结局之间的关系。了解这种关系是否存在很重要,因为风险预测模型不调整剥夺因素。
使用 2004 年多因素剥夺指数(IMD)衡量剥夺程度,该指数是根据 2001 年英国人口普查数据开发的。从人口普查前 1 年到后 1 年,从英国 138 个成人综合重症监护病房的病例组合计划数据库中选择了 84423 例入院病例,并使用邮政编码与 IMD 进行关联。使用逻辑回归分析调查 IMD 五分位数与急性住院死亡率之间可能存在的关联。
随着剥夺程度的增加,急性住院死亡率也随之增加(P <.001)。在调整年龄、性别、急性严重程度、内科病史、入院来源和入住重症监护病房的原因后,这种关联仍然存在(与最不富裕五分位数相比,调整后的优势比为 1.19;95%置信区间为 1.10-1.28)。
在英格兰,成人综合重症监护病房入院的患者中,剥夺程度的增加与死亡率风险的增加之间存在关联。需要进一步研究以确定其他未测量的潜在混杂因素(例如,吸烟、饮酒)是否可以解释这种关联。