Healthcare‑associated infections in intensive care unit patients with and without COVID-19: a single center prospective surveillance study

Nando Bloch, Susanne Rüfenacht, Magdalena Ludwinek, Waldemar Frick, Gian-Reto Kleger, Florian Schneider, Werner C. Albrich, Domenica Flury, Stefan P Kuster, Matthias Schlegel, Philipp Kohler
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Abstract

The coronavirus disease 2019 (COVID-19) pandemic led to a global increase in healthcare-associated infections (HAI) among intensive care unit (ICU) patients. Whether this increase is directly attributable to COVID-19 or whether the pandemic indirectly (via staff shortages or breaches in infection prevention measures) led to this increase, remains unclear. The objectives of this study were to assess HAI incidence and to identify independent risk factors for HAI in COVID-19 and non-COVID-19 ICU patients. We established a monocentric prospective HAI surveillance in the medical ICU of our tertiary care center from September 1st 2021 until August 31st 2022, during circulation of the SARS-CoV-2 delta and omicron variants. We consecutively included patients ≥ 18 years of age with an ICU length of stay of > 2 calendar days. HAI were defined according to the European Centre for Disease Prevention and Control definitions. HAI rate was calculated per 1,000 patient-days or device-days; risk ratios (RR) and corresponding 95% confidence intervals (CI) for COVID-19 versus non-COVID-19 patients were calculated. We used multivariable Cox regression to identify independent risk factors for HAI. As a proxy for institutional COVID-19 burden, weekly COVID-19 density (i.e. percentage of COVID-19 patients among all ICU patients) was included in the model as time-dependent co-variable. We included 254 patients, 64 (25.1%) COVID-19 and 190 (74.9%) non-COVID-19 patients; 83 HAI in 72 patients were recorded, thereof 45 ventilator-associated lower respiratory tract infections (VA-LRTI) (54.2%) and 18 blood stream infections (BSI) (21.6%). HAI incidence rate was 49.1/1,000 patient-days in COVID-19 and 22.5/1,000 patient-days in non-COVID-19 patients (RR 2.2, 95%-CI 1.4–3.4). This result was mainly due to different VA-LRTI rates (40.3 vs. 11.7/1,000 ventilator days, p < 0.001), whereas BSI rates were not statistically different (9.4 vs. 5.6/1,000 patient days, p = 0.27). Multivariable analysis identified COVID-19 as main risk factor for HAI development, whereas age, mechanical ventilation and COVID-19 density were not significant. These data from the fourth and fifth wave of the pandemic show a higher HAI incidence in COVID-19 than in non-COVID-19 ICU patients, mainly due to an increase in pulmonary infections. A diagnosis of COVID-19 was independently associated with HAI development, whereas institutional COVID-19 burden was not.
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重症监护室患者中发生和未发生 COVID-19 的医源性感染:一项单中心前瞻性监测研究
2019 年冠状病毒病(COVID-19)大流行导致全球重症监护病房(ICU)患者的医源性感染(HAI)增加。这种增加是直接归因于 COVID-19,还是大流行间接(通过人员短缺或感染预防措施的漏洞)导致的,目前仍不清楚。本研究的目的是评估 COVID-19 和非 COVID-19 ICU 患者的 HAI 发生率,并确定 HAI 的独立风险因素。从 2021 年 9 月 1 日到 2022 年 8 月 31 日,在 SARS-CoV-2 delta 和 omicron 变体流行期间,我们在三级医疗中心的内科 ICU 建立了单中心前瞻性 HAI 监测。我们连续纳入了年龄≥ 18 岁、在重症监护室住院时间超过 2 天的患者。HAI 根据欧洲疾病预防与控制中心的定义界定。每 1,000 个患者日或设备日计算 HAI 率;计算 COVID-19 与非 COVID-19 患者的风险比 (RR) 和相应的 95% 置信区间 (CI)。我们使用多变量 Cox 回归来确定 HAI 的独立风险因素。作为机构 COVID-19 负担的替代变量,每周 COVID-19 密度(即所有 ICU 患者中 COVID-19 患者的百分比)作为时间依赖性协变量被纳入模型。我们共纳入了 254 名患者,其中 64 人(25.1%)为 COVID-19 患者,190 人(74.9%)为非 COVID-19 患者;共记录了 72 名患者的 83 例 HAI,其中 45 例为呼吸机相关性下呼吸道感染 (VA-LRTI)(54.2%),18 例为血流感染 (BSI)(21.6%)。COVID-19 患者的 HAI 发生率为 49.1/1,000 个患者日,非 COVID-19 患者的 HAI 发生率为 22.5/1,000 个患者日(RR 2.2,95%-CI 1.4-3.4)。造成这一结果的主要原因是 VA-LRTI 发生率不同(40.3 vs. 11.7/1,000 呼吸机日,p < 0.001),而 BSI 发生率无统计学差异(9.4 vs. 5.6/1,000 患者日,p = 0.27)。多变量分析表明,COVID-19 是导致 HAI 发生的主要风险因素,而年龄、机械通气和 COVID-19 密度并不显著。大流行第四波和第五波的这些数据显示,COVID-19 重症监护病房患者的 HAI 发生率高于非 COVID-19 重症监护病房患者,主要原因是肺部感染增加。COVID-19的诊断与HAI的发生独立相关,而COVID-19的机构负担则不相关。
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