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      Coronavirus disease 2019 (COVID-19) pandemic, central-line–associated bloodstream infection (CLABSI), and catheter-associated urinary tract infection (CAUTI): The urgent need to refocus on hardwiring prevention efforts

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          Abstract

          Background:

          The coronavirus disease 2019 (COVID-19) pandemic has had a considerable impact on US hospitalizations, affecting processes and patient population.

          Objective:

          To evaluate the impact of COVID-19 pandemic on central-line–associated bloodstream infections (CLABSIs) and catheter associated urinary tract infections (CAUTIs) in hospitals.

          Methods:

          We performed a retrospective study of CLABSIs and CAUTIs in 78 US 12 months before COVID-19 and 6 months during COVID-19 pandemic.

          Results:

          During the 2 study periods, there were 795,022 central-line days and 817,267 urinary catheter days. Compared to the period before the COVID-19 pandemic, CLABSI rates increased by 51.0% during the pandemic period from 0.56 to 0.85 per 1,000 line days ( P < .001) and by 62.9% from 1.00 to 1.64 per 10,000 patient days ( P < .001). Hospitals with monthly COVID-19 patients representing >10% of admissions had a National Health Safety Network (NHSN) device standardized infection ratio for CLABSI that was 2.38 times higher than hospitals with <5% prevalence during the pandemic period ( P = .004). Coagulase-negative Staphylococcus CLABSIs increased by 130% from 0.07 to 0.17 events per 1,000 line days ( P < .001), and Candida spp by 56.9% from 0.14 to 0.21 per 1,000 line days ( P = .01). In contrast, no significant changes were identified for CAUTI (0.86 vs 0.77 per 1,000 catheter days; P = .19).

          Conclusions:

          The COVID-19 pandemic was associated with substantial increases in CLABSIs but not CAUTIs. Our findings underscore the importance of hardwiring processes for optimal line care and regular feedback on performance to maintain a safe environment.

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          Most cited references16

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          Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York City: a prospective cohort study

          Summary Background Over 40 000 patients with COVID-19 have been hospitalised in New York City (NY, USA) as of April 28, 2020. Data on the epidemiology, clinical course, and outcomes of critically ill patients with COVID-19 in this setting are needed. Methods This prospective observational cohort study took place at two NewYork-Presbyterian hospitals affiliated with Columbia University Irving Medical Center in northern Manhattan. We prospectively identified adult patients (aged ≥18 years) admitted to both hospitals from March 2 to April 1, 2020, who were diagnosed with laboratory-confirmed COVID-19 and were critically ill with acute hypoxaemic respiratory failure, and collected clinical, biomarker, and treatment data. The primary outcome was the rate of in-hospital death. Secondary outcomes included frequency and duration of invasive mechanical ventilation, frequency of vasopressor use and renal replacement therapy, and time to in-hospital clinical deterioration following admission. The relation between clinical risk factors, biomarkers, and in-hospital mortality was modelled using Cox proportional hazards regression. Follow-up time was right-censored on April 28, 2020 so that each patient had at least 28 days of observation. Findings Between March 2 and April 1, 2020, 1150 adults were admitted to both hospitals with laboratory-confirmed COVID-19, of which 257 (22%) were critically ill. The median age of patients was 62 years (IQR 51–72), 171 (67%) were men. 212 (82%) patients had at least one chronic illness, the most common of which were hypertension (162 [63%]) and diabetes (92 [36%]). 119 (46%) patients had obesity. As of April 28, 2020, 101 (39%) patients had died and 94 (37%) remained hospitalised. 203 (79%) patients received invasive mechanical ventilation for a median of 18 days (IQR 9–28), 170 (66%) of 257 patients received vasopressors and 79 (31%) received renal replacement therapy. The median time to in-hospital deterioration was 3 days (IQR 1–6). In the multivariable Cox model, older age (adjusted hazard ratio [aHR] 1·31 [1·09–1·57] per 10-year increase), chronic cardiac disease (aHR 1·76 [1·08–2·86]), chronic pulmonary disease (aHR 2·94 [1·48–5·84]), higher concentrations of interleukin-6 (aHR 1·11 [95%CI 1·02–1·20] per decile increase), and higher concentrations of D-dimer (aHR 1·10 [1·01–1·19] per decile increase) were independently associated with in-hospital mortality. Interpretation Critical illness among patients hospitalised with COVID-19 in New York City is common and associated with a high frequency of invasive mechanical ventilation, extrapulmonary organ dysfunction, and substantial in-hospital mortality. Funding National Institute of Allergy and Infectious Diseases and the National Center for Advancing Translational Sciences, National Institutes of Health, and the Columbia University Irving Institute for Clinical and Translational Research.
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            Elective surgery cancellations due to the COVID ‐19 pandemic: global predictive modelling to inform surgical recovery plans

            Background The COVID‐19 pandemic has disrupted routine hospital services globally. This study estimated the total number of adult elective operations that would be cancelled worldwide during the 12 weeks of peak disruption due to COVID‐19. Methods A global expert‐response study was conducted to elicit projections for the proportion of elective surgery that would be cancelled or postponed during the 12 weeks of peak disruption. A Bayesian beta‐regression model was used to estimate 12‐week cancellation rates for 190 countries. Elective surgical case‐mix data, stratified by specialty and indication (cancer versus benign surgery), was determined. This case‐mix was applied to country‐level surgical volumes. The 12‐week cancellation rates were then applied to these figures to calculate total cancelled operations. Results The best estimate was that 28,404,603 operations would be cancelled or postponed during the peak 12 weeks of disruption due to COVID‐19 (2,367,050 operations per week). Most would be operations for benign disease (90.2%, 25,638,922/28,404,603). The overall 12‐week cancellation rate would be 72.3%. Globally, 81.7% (25,638,921/31,378,062) of benign surgery, 37.7% (2,324,069/6,162,311) of cancer surgery, and 25.4% (441,611/1,735,483) of elective Caesarean sections would be cancelled or postponed. If countries increase their normal surgical volume by 20% post‐pandemic, it would take a median 45 weeks to clear the backlog of operations resulting from COVID‐19 disruption. Conclusions A very large number of operations will be cancelled or postponed due to disruption caused by COVID‐19. Governments should mitigate against this major burden on patients by developing recovery plans and implementing strategies to safely restore surgical activity. This article is protected by copyright. All rights reserved.
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              An intervention to decrease catheter-related bloodstream infections in the ICU.

              Catheter-related bloodstream infections occurring in the intensive care unit (ICU) are common, costly, and potentially lethal. We conducted a collaborative cohort study predominantly in ICUs in Michigan. An evidence-based intervention was used to reduce the incidence of catheter-related bloodstream infections. Multilevel Poisson regression modeling was used to compare infection rates before, during, and up to 18 months after implementation of the study intervention. Rates of infection per 1000 catheter-days were measured at 3-month intervals, according to the guidelines of the National Nosocomial Infections Surveillance System. A total of 108 ICUs agreed to participate in the study, and 103 reported data. The analysis included 1981 ICU-months of data and 375,757 catheter-days. The median rate of catheter-related bloodstream infection per 1000 catheter-days decreased from 2.7 infections at baseline to 0 at 3 months after implementation of the study intervention (P< or =0.002), and the mean rate per 1000 catheter-days decreased from 7.7 at baseline to 1.4 at 16 to 18 months of follow-up (P<0.002). The regression model showed a significant decrease in infection rates from baseline, with incidence-rate ratios continuously decreasing from 0.62 (95% confidence interval [CI], 0.47 to 0.81) at 0 to 3 months after implementation of the intervention to 0.34 (95% CI, 0.23 to 0.50) at 16 to 18 months. An evidence-based intervention resulted in a large and sustained reduction (up to 66%) in rates of catheter-related bloodstream infection that was maintained throughout the 18-month study period. Copyright 2006 Massachusetts Medical Society.
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                Author and article information

                Journal
                Infect Control Hosp Epidemiol
                Infect Control Hosp Epidemiol
                ICE
                Infection Control and Hospital Epidemiology
                Cambridge University Press (New York, USA )
                0899-823X
                1559-6834
                19 February 2021
                : 1-6
                Affiliations
                [1 ]Clinical & Network Services, Ascension Healthcare , St Louis, Missouri
                [2 ]Wayne State University School of Medicine, Detroit, Michigan
                [3 ]Ascension Data Science Institute, Ascension Healthcare , St Louis, Missouri
                Author notes
                Author for correspondence: Mohamad G. Fakih, E-mail: Mohamad.Fakih@ 123456ascension.org . Or Joseph Cacchione, E-mail: joseph.cacchione@ 123456ascension.org
                Author information
                https://orcid.org/0000-0002-2258-8015
                Article
                S0899823X21000702
                10.1017/ice.2021.70
                8007950
                33602361
                89474741-ec6c-4632-a03a-7c8843ad4782
                © The Society for Healthcare Epidemiology of America 2021

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 28 December 2020
                : 02 February 2021
                : 10 February 2021
                Page count
                Tables: 4, References: 23, Pages: 6
                Categories
                Original Article

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