Healthcare-associated infections: a threat to the survival of patients with COVID-19 in intensive care units

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

BACKGROUND

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

Impact of COVID-19 pandemic on the rates of central line...associated bloodstream infection and catheter-associated urinary tract infection in an.ßintensive care setting:.ßNational experience

BACKGROUND

COVID-19 is believed to increase the risk of secondary health care...associated infections. The objective was to estimate the impact of COVID-l9 pandemic on the rates of central line...associated bloodstream infection (CLABSI) and catheter-associated urinary tract infections (CAUTIs) in the.ßMinistry of Health hospitals across Saudi Arabia.

METHODS

A retrospective analysis of prospectively collected CLABSI and CAUTI data over a period of 3 years (2019-2021) was done. The data were obtained from the Saudi Health Electronic Surveillance Network. All adult intensive care units in 78 Ministry of Health hospitals that contributed CLABSI or CAUTI data before (2019) and during (2020-2021).ßthe pandemic were included.

RESULTS

During the study, 1440 CLABSI events and 1119 CAUTI events were identified. CLABSI rates significantly increased in 2020-2021 compared with 2019 (2.50 versus 2.16 per 1000 central line days, P.ß=.ß.010). CAUTI rates significantly decreased in 2020-2021 compared with 2019 (0.96 versus 1.54 per 1000 urinary catheter days, P.ß<.ß.001).

CONCLUSIONS

COVID-19 pandemic is.ßassociated with increased CLABSI rates and reduced CAUTI rates. It.ßis believed to have negative impacts on several infection control practices and surveillance accuracy. The opposite impacts of COVID-19 on CLABSI and CAUTI probably reflect.ßthe nature of their case definitions.

ADDITIONAL RISKS ARISING IN THE PROCESS OF PROVIDING MEDICAL AID TO PATIENTS WITH COVID-19

OBJECTIVE

The aim: In order to assess the degree of transforming danger, for face masks, used in the providing respiratory support process to specialized department patients with varying degrees of the COVID-19 course severity, we conducted a series of bacteriological studies into an additional opportunistic bacteria reservoir. With the purpose of assessment of the face respiratory masks inner surface bacterial contamination intensity during their use to provide respiratory support to patients with COVID-19.

PATIENTS AND METHODS

Materials and methods: A bacteriological study of the inner surface of 60 disposable individual face respiratory masks was carried out at different times of providing respiratory support to patients with COVID-19.

RESULTS

Results: It is shown that during use, the inner surface of the respiratory mask is colonized by staphylococci and gram-negative opportunistic bacteria. With increasing time of the mask using, the density of colonization of its inner surface increases.

CONCLUSION

Conclusions: In the process of long-term non-invasive lung ventilation and oxygen therapy for patients with COVID-19, the inner surface of face respiratory masks is colonized with opportunistic bacteria, which creates the risk of contamination by the latter of the pathologically changed lung parenchyma and the addition of secondary bacterial infection.

Les misérables: a Parallel Between Antimicrobial Resistance and COVID-19 in Underdeveloped and Developing Countries

Purpose of Review

The COVID-19 pandemic has been responsible for more than 6.3 million deaths worldwide. During the pandemic, the indiscriminate use of antibiotics has increased, contributing to the spread of multidrug-resistant bacteria. In this review, we aim to determine the spread and impact of antibiotic treatments in patients with COVID-19, focusing on underdeveloped and developing countries.

Recent Findings

Meta-analysis revealed that bacterial co-infections and secondary infections are relatively rare in COVID-19 patients, corresponding to less than 20% of hospitalized patients. Even so, most of these patients have received antibiotic treatments.

Summary

This review discusses how the COVID-19 pandemic could increase the emergence of multidrug-resistant strains to currently available antibiotics. Initially, we discussed the spread and impact of multidrug resistance of ESKAPE pathogens associated with nosocomial infections and analyzed their risk of secondary infections in patients with COVID-19. Then we highlight three factors related to the spread of resistant bacteria during the current pandemic: overprescription of antibiotics followed by self-medication. Finally, we discussed the lack of availability of diagnostic tests to discriminate the etiologic agent of a disease. All these factors lead to inappropriate use of antibiotics and, therefore, to an increase in the prevalence of resistance, which can have devastating consequences shortly. The data compiled in this study underscore the importance of epidemiological surveillance of hospital isolates to provide new strategies for preventing and controlling infections caused by multidrug-resistant bacteria. In addition, the bibliographic research also highlights the need for an improvement in antibiotic prescribing in the health system.

The health facility as a risk factor for multidrug-resistant gram-negative bacteria in critically ill patients with COVID-19

BACKGROUND

The relationship between Multidrug Resistant-Gram Negative Bacteria (MDR-GNB) infection and colonization in critically ill COVID-19 patients has been observed, however, it is still poorly understood. This study evaluated the risk factors for acquiring MDR-GNB in patients with severe COVID-19 in Intensive Care Units (ICU).

METHODS

This is a nested case-control study in a cohort of 400 adult patients (≥ 18 years old) with COVID-19, hospitalized in the ICU of 4 hospitals in the city of Curitiba, Brazil. Cases were critical COVID-19 patients with one or more MDR GNB from any surveillance and/or clinical cultures were taken during their ICU stay. Controls were patients from the same units with negative cultures for MDR-GNB. Bivariate and multivariate analyses were done.

RESULTS

Sixty-seven cases and 143 controls were included. Independent risk factors for MDR bacteria were: male gender (OR = 2.6; 95% CI 1.28‒5.33; p = 0.008); the hospital of admission (OR = 3.24; 95% CI 1.39‒7.57; p = 0.006); mechanical ventilation (OR = 25.7; 95% CI 7.26‒91; p < 0.0001); and desaturation on admission (OR = 2.6; 95% CI 1.27‒5.74; p = 0.009).

CONCLUSIONS

Male gender, desaturation, mechanical ventilation, and the hospital of admission were the independent factors associated with MDR-GNB in patients in the ICU with COVID-19. The only modifiable factor was the hospital of admission, where a newly opened hospital posed a higher risk. Therefore, coordinated actions toward a better quality of care for critically ill COVID-19 patients are essential.