Vicentini Costanza, Bordino Valerio, Bresciano Luca, Di Giacomo Stefania, D'Ancona Fortunato, Zotti Carla Maria
Department of Public Health and Paediatrics, University of Turin, Italy.
Prevention Department, Local Health Trust TO5, Turin, Italy.
Euro Surveill. 2025 May;30(18). doi: 10.2807/1560-7917.ES.2025.30.18.2400812.
BackgroundAccurate burden estimates are necessary to inform priority setting and rational resource allocation. Weighting prevalence inversely proportional to time-at-risk has been proposed as a solution for length-biased sampling, an important limitation affecting prevalence to incidence conversion for healthcare-associated infections (HAIs).AimThis study aimed to update Italian burden estimates by calculating HAI incidence, attributable mortality and disability-adjusted life years (DALYs). Further, we describe an adapted methodology for burden estimations.MethodsWe used data from the latest European Centre for Disease Prevention and Control (ECDC) point prevalence survey (PPS) of HAIs, conducted in Italy in November 2022, to calculate the burden of five major HAIs at national level. We adapted the Burden of Communicable Diseases in Europe (BCoDE) methodology to include inverse probability weighting and compared results of naïve and weighted calculations.ResultsThe national sample included 18,397 patients. Overall, 564.8 DALYs per 100,000 general population resulted from weighted calculations (95% uncertainty interval (UI): 450.04-694.38), with an annual incidence of 685.42 cases per 100,000 general population (95% UI: 611.09-760.86) and 33.23 deaths per 100,000 general population per year (95% UI: 28.62-38.33). Concerning naïve estimates, overall 1,017.81 DALYs per 100,000 general population were calculated (95% UI: 855.16-1,190.59). In both calculations, healthcare-acquired bloodstream infections had the highest burden in terms of DALYs per 100,000 hospitalised and general population.ConclusionOur study confirmed the substantial burden of HAIs in Italy and renews the need to prioritise resources for infection prevention and control interventions.
背景
准确的负担估计对于确定优先事项和合理分配资源至关重要。有人提出将患病率与风险时间成反比加权,作为解决长度偏倚抽样问题的一种方法,长度偏倚抽样是影响医疗相关感染(HAIs)患病率到发病率转换的一个重要限制因素。
目的
本研究旨在通过计算HAIs发病率、归因死亡率和伤残调整生命年(DALYs)来更新意大利的负担估计。此外,我们描述了一种适用于负担估计的方法。
方法
我们使用了2022年11月在意大利进行的欧洲疾病预防控制中心(ECDC)最新的HAIs点患病率调查(PPS)数据,来计算全国范围内五种主要HAIs的负担。我们对欧洲传染病负担(BCoDE)方法进行了调整,以纳入逆概率加权,并比较了未加权和加权计算的结果。
结果
全国样本包括18397名患者。总体而言,加权计算得出每10万普通人群中有564.8个DALYs(95%不确定区间(UI):450.04 - 694.38),每10万普通人群的年发病率为685.42例(95% UI:611.09 - 760.86),每年每10万普通人群中有33.23人死亡(95% UI:28.62 - 38.33)。关于未加权估计,每10万普通人群总体计算得出1017.81个DALYs(95% UI:855.16 - 1190.59)。在两种计算中,医疗获得性血流感染在每10万住院患者和普通人群的DALYs方面负担最高。
结论
我们的研究证实了意大利HAIs的巨大负担,并再次强调需要优先为感染预防和控制干预措施分配资源。