Infection Prevention and Control, University Hospital of Nancy, 9 Avenue de la Forêt de Haye, Vandoeuvre-les-Nancy, France.
Am J Infect Control. 2011 Mar;39(2):118-22. doi: 10.1016/j.ajic.2010.04.216.
Nosocomial infection (NI) is a cause of patient morbidity and mortality. Conducting an audit of deaths due to NI is a potentially useful approach to improving professional standards. In France, these deaths are required to be reported, but the reporting is left to clinicians, who often do not comply. The aim of the present study was to assess whether linking the microbiological database with the hospital mortality database might be a suitable surveillance approach for identifying patients who died with an NI.
A total of 1,726 deaths were recorded in the mortality database of a French university hospital between September 1, 2006, and September 16, 2007. During this same period, 6,290 potential NIs (PNIs) were identified by bacteriological examination. These PNIs were generated using a computer algorithm specific to the bacteriology database. PNI information request forms were sent to the senior doctor of the unit where the samples had been obtained to determine whether the PNI was an NI, colonization, or a non-nosocomial infection. A total of 364 cases were common to both databases; from these, a sample of 135 cases was selected for further analysis. To establish the strength of evidence for NI as the cause of death, the 135 cases were analyzed using the patient record by an investigator from the hospital hygiene team.
During the study period, no deaths associated with NI were reported spontaneously. Of the 135 cases analyzed, NI was considered the main cause of death in 6 (4.4%) and a contributory factor in 51 (37.8%). Thus, NI was estimated to be the main cause of death in 0.9% of all patients who died in the hospital during the study period and a contributory cause in another 8.0% of these patients.
Linking databases from bacteriology with those containing hospital mortality records is a simple, reproducible tool for identifying the number of deaths attributable to NI. This may provide a powerful approach to help reduce the burden of disease due to NI through the auditing of such identified deaths.
医院感染(NI)是导致患者发病率和死亡率的一个原因。对 NI 导致的死亡进行审核是提高专业标准的一种潜在有用的方法。在法国,这些死亡必须报告,但报告由临床医生完成,而临床医生往往不遵守规定。本研究的目的是评估将微生物数据库与医院死亡率数据库联系起来是否是识别因 NI 而死亡的患者的一种合适的监测方法。
在法国一所大学医院的死亡率数据库中,记录了 2006 年 9 月 1 日至 2007 年 9 月 16 日期间的总共 1726 例死亡病例。在同一时期,通过细菌学检查共发现了 6290 例潜在的医院获得性感染(PNI)。这些 PNI 是使用特定于细菌学数据库的计算机算法生成的。向获得样本的单位的主治医生发送 PNI 信息请求表,以确定 PNI 是 NI、定植还是非医院获得性感染。两个数据库共有 364 例共同病例;从这些病例中,选择了 135 例进行进一步分析。为了确定 NI 作为死亡原因的证据强度,由医院卫生团队的调查员对 135 例病例的病历进行了分析。
在研究期间,没有报告与 NI 相关的死亡病例。在分析的 135 例病例中,NI 被认为是 6 例(4.4%)的主要死亡原因,是 51 例(37.8%)的次要死亡原因。因此,NI 被估计是研究期间医院所有死亡患者的主要死亡原因的 0.9%,是这些患者的次要死亡原因的 8.0%。
将细菌学数据库与包含医院死亡率记录的数据库联系起来,是一种简单、可重复的工具,可用于确定归因于 NI 的死亡人数。这可能是一种有力的方法,通过审核这些已识别的死亡病例,帮助减少 NI 导致的疾病负担。