Risk of COVID-19 in healthcare workers working in intensive care setting.

BACKGROUND: The higher risk of COVID-19 in health care workers (HCWs) is well-known. However, the risk within HCWs is not fully understood. The objective was to compare the COVID-19 risk in intensive care unit (ICU) vs non-ICU locations. METHODS: A prospective surveillance study was conducted among HCWs at a large tertiary care facility in Riyadh between March 1st to November 30th, 2020. HCWs included both clinical (provide direct patient care) and nonclinical positions (do not provide direct patient care). RESULTS: A total 1,594 HCWs with COVID-19 were included; 103 (6.5%) working in ICU and 1,491 (93.5%) working in non-ICU locations. Compared with non-ICU locations, ICU had more nurses (54.4% vs 22.1%, P < .001) and less support staff (2.9% vs 53.1%, P < .001). COVID-19 infection was similar in ICU and non-ICU locations (9.0% vs 9.8%, P = .374). However, it was significantly higher in ICU nurses (12.3% vs 6.5%, P < .001). Support staff had higher risk than other HCWs, irrespective of ICU working status (15.1% vs 7.2%, P < 0.001). The crude relative risk of COVID-19 in ICU vs non-ICU locations was 0.92, 95% confidence interval ( was 0.76-1.11 (P = .374). However, relative risk adjusted for professional category was significantly increased to 1.23, 95% confidence interval 1.01-1.50 (P = .036). CONCLUSIONS: ICU had a significantly higher risk of COVID-19 infection only after adjusting for the distribution and risk of different professional categories. The latter is probably determined by both exposure level and protection practices. The finding underscores the importance of strict implementation of preventive measures among all HCWs, including those performing nonclinical services.

High Burden of Resistant Gram Negative Pathogens Causing Device-associated Healthcare Infections in a Tertiary Care Setting in Saudi Arabia, 2008-2016.

OBJECTIVES: There is local and regional deficiency in the data examining the contribution of resistant pathogens to device-associated healthcare-associated infections (DA-HAIs). The objective was to examine such data in a multi-hospital system in Saudi Arabia in comparison with the US National Health Surveillance Network (NHSN). METHODS: Surveillance of DA-HAIs was prospectively conducted between 2008 and 2016 in four hospitals of Ministry of National Guard Health Affairs. Consecutive NHSN reports were used for comparisons. Definitions and methodology of DA-HAIs and bacterial resistance were based on NHSN. RESULTS: A total 1260 pathogens causing 1141 DA-HAI events were included. Gram negative pathogens (GNPs) were responsible for 62.5% of DA-HAIs, with a significantly higher Klebsiella, Pseudomonas, Acinetobacter, and Enterobacter than NHSN hospitals. Approximately 28.3% of GNPs and 23.5% of gram positive pathogens (GPPs) had some type of resistance. Nearly 34.3% of Klebsiella were resistant to third/fourth generation cephalosporins, 4.8% of Enterobacteriaceae were carbapenem-resistant (CRE), 24.4% of Staphylococcus aureus were methicillin-resistant (MRSA), and 21.9% of Enterococci were vancomycin-resistant (VRE). Multidrug resistance (MDR) was 65.0% in Acinetobacter, 26.4% in Escherichia coli, 23.0% in Klebsiella, and 14.9% in Pseudomonas. Resistant GNPs including cephalosporin-resistant Klebsiella, MDR Klebsiella, and MDR Escherichia coli were significantly more frequent while resistant GPPs including MRSA and VRE were significantly less frequent than NHSN hospitals. CONCLUSION: The current findings showed heavier and more resistant contribution of GNPs to DA-HAIs in Saudi hospitals compared with American hospitals. The higher resistance rates in Klebsiella and Escherichia coli are alarming and call for effective antimicrobial stewardship programs.

Ten-year resistance trends in pathogens causing healthcare-associated infections; reflection of infection control interventions at a multi-hospital healthcare system in Saudi Arabia, 2007-2016.

BACKGROUND: Studying temporal changes in resistant pathogens causing healthcare-associated infections (HAIs) is crucial in improving local antimicrobial and infection control practices. The objective was to describe ten-year trends of resistance in pathogens causing HAIs in a tertiary care setting in Saudi Arabia and to compare such trends with those of US National Health Surveillance Network (NHSN). METHODS: Pooled analysis of surveillance data that were prospectively collected between 2007 and 2016 in four hospitals of Ministry of National Guard Health Affairs. Definitions and methodology of HAIs and antimicrobial resistance were based on NHSN. Consecutive NHSN reports were used for comparisons. RESULTS: A total 1544 pathogens causing 1531 HAI events were included. Gram negative pathogens (GNP) were responsible for 63% of HAIs, with a significant increasing trend in Klebsiella spp. and a decreasing trend in Acinetobacter. Methicillin-resistant Staphylococcus aureus (27.0%) was consistently less frequent than NHSN. Vancomycin-resistant Enterococci (VRE, 20.3%) were more than doubled during the study, closing the gap with NHSN. Carbapenem resistance was highest with Acinetobacter (68.3%) and Pseudomonas (36.8%). Increasing trends of carbapenem resistance were highest in Pseudomonas and Enterobacteriaceae, closing initial gaps with NHSN. With the exception of Klebsiella and Enterobacter, multidrug-resistant (MDR) GNPs were generally decreasing, mainly due to the decreasing resistance towards cephalosporins, fluoroquinolones, and aminoglycosides. CONCLUSION: The findings showed increasing trends of carbapenem resistance and VRE, which may reflect heavy use of carbapenems and vancomycin. These findings may highlight the need for effective antimicrobial stewardship programs, including monitoring and feedback on antimicrobial use and resistance.