Department of Internal Medicine, St James's Hospital, Dublin 8, Ireland.
QJM. 2013 Mar;106(3):245-51. doi: 10.1093/qjmed/hcs233. Epub 2012 Dec 18.
Deprivation in the general population predicts mortality. We have investigated its relevance to an acute medical admission, using a database of all emergency admissions to St James' Hospital, Dublin, over a 10-year period (2002-11).
All emergency admissions, based on geocoding of residence, were allocated to a Small Area Health Research Unit division, with a corresponding deprivation index. We then examined this index as a univariate (unadjusted) and independent (adjusted) predictor of 30-day in-hospital mortality.
The 30-day in-hospital mortality, over the 10-year period, was higher for those in the upper half of the deprivation distribution (9.6 vs. 8.6%; P = 0.002). Indeed, there was a stepwise increase in 30-day mortality over the quintiles of deprivation from 7.3% (Quintile 1) to 8.8, 10.0, 10.0 and 9.3%, respectively. Univariate logistic regression of the deprivation indices (quintiles) against outcome showed an increased risk (P = 0.002) of a 30-day death with odds ratios (ORs), respectively (compared with lowest deprivation quintile) of 1.39 [95% confidence intervals (CI) 1.21, 1.58], 1.47 (95% CI 1.29, 1.68), 1.44 (95% CI 1.26, 1.64) and 1.39 (95% CI 1.22, 1.59). The deprivation index was an independent predictor of outcome in a model when adjusted for illness severity and co-morbidity. The fully adjusted OR for a 30-day death was increased by 31% (P = 0.001) for patients in the upper half of the deprivation index distribution (OR 1.35; 95% CI 1.23, 1.48; P < 0.001).
Deprivation, independent of co-morbidity or acute illness severity, is an independent predictor of 30-day mortality in acute medical admissions.
人群中的贫困与死亡率相关。我们使用都柏林圣詹姆斯医院的 10 年(2002-11 年)所有急诊入院记录数据库,调查了贫困与急性内科住院的关系。
基于居住地的地理编码,将所有急诊入院分配到一个小区域卫生研究单位,并有相应的贫困指数。然后,我们将该指数作为单变量(未调整)和独立(调整)预测因子,分析其与 30 天院内死亡率的关系。
10 年间,在贫困分布较高的患者中,30 天院内死亡率更高(9.6%比 8.6%;P=0.002)。实际上,随着贫困五分位数从 7.3%(五分位数 1)到 8.8%、10.0%、10.0%和 9.3%,30 天死亡率呈阶梯式上升。将贫困指数(五分位数)与结果进行单变量逻辑回归显示,30 天死亡风险增加(P=0.002),比值比(ORs)分别(与最低贫困五分位数相比)为 1.39(95%置信区间(CI)1.21,1.58)、1.47(95% CI 1.29,1.68)、1.44(95% CI 1.26,1.64)和 1.39(95% CI 1.22,1.59)。在调整疾病严重程度和合并症后,贫困指数是结果的独立预测因子。在贫困指数分布较高的患者中,30 天死亡的调整 OR 增加了 31%(P=0.001)(OR 1.35;95% CI 1.23,1.48;P<0.001)。
在急性内科住院患者中,贫困与合并症或急性疾病严重程度无关,是 30 天死亡率的独立预测因子。