Agabiti N, Cesaroni G, Picciotto S, Bisanti L, Caranci N, Costa G, Forastiere F, Marinacci C, Pandolfi P, Russo A, Perucci C A
Department of Epidemiology, Local Health Authority Rome E, Via di S Costanza 53, 00198 Rome, Italy.
J Epidemiol Community Health. 2008 Oct;62(10):882-9. doi: 10.1136/jech.2007.067470.
Understanding the mechanism by which both patient- and hospital level factors act in generating disparities has important implications for clinicians and policy-makers.
To measure the association between socioeconomic position (SEP) and postoperative complications after major elective cardiovascular procedures.
Multicity hospital-based study.
Using Hospital Discharge Registries (ICD-9-CM codes), 19 310 patients were identified undergoing five cardiovascular operations (coronary artery bypass grafting (CABG), valve replacement, carotid endarterectomy, major vascular bypass, repair of unruptured abdominal aorta aneurysm (AAA repair)) in four Italian cities, 1997-2000.
For each patient, a five-level median income index by census block of residence was calculated. In-hospital 30-day mortality, cardiovascular complications (CCs) and non-cardiovascular complications (NCCs) were the outcomes. Odds ratios (ORs) were estimated with multilevel logistic regression adjusting for city of residence, gender, age and comorbidities taking into account hospital and individual dependencies.
In-hospital 30-day mortality varied by type of surgery (CABG 3.7%, valve replacement 5.7%, carotid endarterectomy 0.9%, major vascular bypass 8.8%, AAA repair 4.0%). Disadvantaged people were more likely to die after CABG (lowest vs highest income OR 1.93, p trend 0.023). For other surgeries, the relationship between SEP and mortality was less clear. For cardiac surgery, SEP differences in mortality were higher for publicly funded patients in low-volume hospitals (lowest vs highest income OR 3.90, p trend 0.039) than for privately funded patients (OR 1.46, p trend 0.444); however, the difference in the SEP gradients was not statistically significant.
Disadvantaged people seem particularly vulnerable to mortality after cardiovascular surgery. Efforts are needed to identify structural factors that may enlarge SEP disparities within hospitals.
了解患者层面和医院层面因素在导致差异方面的作用机制,对临床医生和政策制定者具有重要意义。
测量社会经济地位(SEP)与择期心血管大手术后并发症之间的关联。
基于多城市医院的研究。
利用医院出院登记(ICD - 9 - CM编码),在1997 - 2000年期间,识别出意大利四个城市中19310例接受五种心血管手术(冠状动脉搭桥术(CABG)、瓣膜置换术、颈动脉内膜切除术、大血管搭桥术、未破裂腹主动脉瘤修复术(AAA修复术))的患者。
为每位患者计算按居住普查街区划分的五级收入中位数指数。住院30天死亡率、心血管并发症(CCs)和非心血管并发症(NCCs)为观察结果。采用多水平逻辑回归估计比值比(ORs),并对居住城市、性别、年龄和合并症进行调整,同时考虑医院和个体的相关性。
住院30天死亡率因手术类型而异(CABG为3.7%,瓣膜置换术为5.7%,颈动脉内膜切除术为0.9%,大血管搭桥术为8.8%,AAA修复术为4.0%)。弱势群体在CABG术后死亡的可能性更高(最低收入组与最高收入组相比,OR为1.93,p趋势为0.023)。对于其他手术,SEP与死亡率之间的关系不太明确。对于心脏手术,低容量医院中公共资助患者的SEP死亡率差异(最低收入组与最高收入组相比,OR为3.90,p趋势为0.039)高于私人资助患者(OR为1.46,p趋势为0.444);然而,SEP梯度差异无统计学意义。
弱势群体在心血管手术后似乎特别容易死亡。需要努力识别可能扩大医院内SEP差异的结构性因素。