scholarly journals Characteristics of Healthcare-Associated Infections Contributing to Unexpected In-Hospital Deaths

2010 ◽  
Vol 31 (8) ◽  
pp. 864-866 ◽  
Author(s):  
Daniel J. Morgan ◽  
Lucia L. Lomotan ◽  
Kathleen Agnes ◽  
Linda McGrail ◽  
Mary-Claire Roghmann
Keyword(s):  
Bloodstream Infection ◽  
Medical Records ◽  
Central Line ◽  
Multidrug Resistant ◽  
Healthcare Associated Infections ◽  
Bacterial Isolates ◽  
Healthcare Associated Infection ◽  
Hospital Deaths ◽  
Healthcare Associated

We reviewed the medical records of all the patients who died in our hospital during the period from 2004 through 2008 to determine the contribution of healthcare-associated infections to mortality. Of the 179 unexpected in-hospital deaths during that period, 55 (31%) were related to 69 healthcare-associated infections. The most common healthcare-associated infection was central line-associated bloodstream infection, and the most common organisms identified were members of the Enterobacteriaceae family. Overall, 45% of bacterial isolates were multidrug resistant.

scholarly journals Indirect Versus Direct Standardization Methods for Reporting Healthcare-Associated Infections: An Analysis of Central Line–Associated Bloodstream Infections in Maryland

2017 ◽  
Vol 38 (8) ◽  
pp. 989-992 ◽  
Author(s):  
Lyndsay M. O’Hara ◽  
Max Masnick ◽  
Surbhi Leekha ◽  
Sarah S. Jackson ◽  
Natalia Blanco ◽  
...  
Keyword(s):  
Bloodstream Infection ◽  
Acute Care ◽  
Bloodstream Infections ◽  
Acute Care Hospitals ◽  
Central Line ◽  
Healthcare Associated Infections ◽  
Healthcare Associated Infection ◽  
Healthcare Associated ◽  
Direct Standardization ◽  
Standardization Methods

Whether healthcare-associated infection data should be presented using indirect (current CMS/CDC methodology) or direct standardization remains controversial. We applied both methods to central-line–associated bloodstream infection data from 45 acute-care hospitals in Maryland from 2012 to 2014. We found that the 2 methods generate different hospital rankings with payment implications.Infect Control Hosp Epidemiol 2017;38:989–992

scholarly journals Current Pattern and Clinico-Bacteriological Profile of Healthcare Associated Infections (HAI) in an ICU Setting: An Observational Study

2021 ◽  
Author(s):  
Mradul Kumar Daga ◽  
Govind Mawari ◽  
Saman Wasi ◽  
Naresh Kumar ◽  
Udbhav Sharma ◽  
...  
Keyword(s):  
Age Groups ◽  
Healthcare Facility ◽  
Central Line ◽  
Multidrug Resistant ◽  
Gram Negative Bacteria ◽  
Healthcare Associated Infections ◽  
Acinetobacter Species ◽  
Gram Negative ◽  
Causative Agents ◽  
Healthcare Associated

Abstract Objective To understand the pattern and types of healthcare associated infections (HAI) at our healthcare facility, and to determine the common causative agents and their antibiotic susceptibility profile. Methods One hundred consecutive patients diagnosed with HAI were enrolled and monitored; the causative organisms isolated on culture were recorded and their sensitivity profile was generated. Results Of the 100 patients diagnosed with HAI (mean age ± SD being 42 ± 17 years), there were a total of 110 hospital acquired infections with 10 patients having two infections each. Out of 100 patients with HAI, 69 patients had ventilator associated pneumonia (VAP), 21 patients had catheter associated urinary tract infection (CAUTI) patients, and 20 patients had central line associated bloodstream infection (CLABSI). There were 10 patients with both VAP and CAUTI. All of the HAIs were device associated. A total of 76 pathogens were isolated on culture. No organism was isolated in 40 HAI. Majority (94.7%) of the organisms isolated from HAIs were gram-negative bacteria and all were multidrug resistant. Seventy-seven of the enrolled patients expired while 23 were discharged from the hospital Conclusions Our study demonstrated that HAIs occur in patients of all age groups; younger patients are not spared. Majority of the HAIs were caused by multidrug resistant gram-negative bacteria and were associated with high patient mortality. Acinetobacter species was the most common organism associated with HAI.

scholarly journals Validation Methodology of Healthcare-Associated Infection Device Day Denominators When Switching Electronic Medical Records

2020 ◽  
Vol 41 (S1) ◽  
pp. s428-s429
Author(s):  
Lan Luong ◽  
Michelle Simkins ◽  
Rachael Snyders ◽  
Kathleen Anne Gase ◽  
Carole Leone ◽  
...  
Keyword(s):  
Electronic Medical Records ◽  
Medical Records ◽  
Urinary Catheter ◽  
Central Line ◽  
Prediction Methods ◽  
Healthcare Associated Infection ◽  
Nursing Documentation ◽  
Validation Process ◽  
Validation Phase ◽  
Healthcare Associated

Background: From August 2017 to June 2018, 11 hospitals within a large healthcare system switched from multiple different electronic medical records (EMRs) to 1 EMR. At the time of this transition, the NHSN provided guidelines to validate healthcare-associated infection (HAI) denominators when switching from manual denominator collection to electronic denominator collection, but the NHSN did not give guidelines for validation when switching from 1 EMR to another. We aimed to build a validation process to ensure the accuracy of central-line and urinary catheter days reported to the NHSN after switching EMRs. Methods: Our validation process began with a statistical phase followed by a targeted manual validation phase. The statistical phase used 3 prediction methods (linear regression, time series analysis, and statistical process control [SPC] charts) to forecast device days after the EMR switch for units within hospitals. Models were developed using baseline data from the old EMR (January 2015 through the new EMR implementation). Using prespecified criteria for each method to determine discrepancies, we built a decision tree to identify units needing manual validation. Any unit that failed the statistical phase would need to participate in the manual validation phase, using a midnight census and direct visualization of devices. The manual validation process was composed of 14-day blocks. At the end of each block, if manual device days were within ±5% of EMR device days, they were considered validated. Manual validation would be repeated in 14-day blocks until 2 consecutive blocks passed within ±5%. Results: Overall, 157 units were evaluated for urinary catheter days and central-line days. Among them, 143 units passed the statistical validation test for urinary catheter days and 151 passed for central-line days. There was no specific pattern when comparing forecasted versus actual device days. The manual validation process for the 20 failing units (14 urinary catheter and 6 central-line units) is ongoing; preliminary results identified issues with missing nursing documentation in the EMR and with inaccurate manual counting of device days. There were no systematic discrepancies associated with the new EMR. Conclusions: We developed a novel validation process using statistical prediction methods supplemented with a targeted manual process. This process saved resources by identifying the units that need manual validation. Discrepancies were largely related to nursing documentation, which the infection prevention team addressed with additional training.Funding: NoneDisclosures: None

Distribution of Central Line-Associated Bloodstream Infections Determined From Washington State’s Annual Reporting Validation Program, 2009–2013

2016 ◽  
Vol 38 (4) ◽  
pp. 489-492
Author(s):  
Jason M. Lempp ◽  
M. Jeanne Cummings ◽  
David W. Birnbaum
Keyword(s):  
Bloodstream Infection ◽  
Healthcare Quality ◽  
Bloodstream Infections ◽  
Central Line ◽  
Infect Control Hosp ◽  
Public Healthcare ◽  
Healthcare Associated Infection ◽  
Reporting Accuracy ◽  
Annual Reporting ◽  
Healthcare Associated

Healthcare-associated infection reporting validation is essential because this information is increasingly used in public healthcare quality assurances and care reimbursement. Washington State’s validation of central line-associated bloodstream infection reporting applies credible quality sciences methods to ensure that hospital reporting accuracy is maintained. This paper details findings and costs from our experience.Infect Control Hosp Epidemiol 2017;38:489–492

scholarly journals Reduction in the Prevalence of Healthcare-Associated Infections in U.S. Acute Care Hospitals, 2015 vs 2011

2017 ◽  
Vol 4 (suppl_1) ◽  
pp. S49-S49 ◽  
Author(s):  
Shelley S Magill ◽  
Lucy E Wilson ◽  
Deborah L Thompson ◽  
Susan M Ray ◽  
Joelle Nadle ◽  
...  
Keyword(s):  
Medical Records ◽  
Patient Characteristics ◽  
Central Line ◽  
Emerging Infections ◽  
Healthcare Associated Infection ◽  
Chi Square ◽  
Prevalence Survey ◽  
Hospital Patients ◽  
Tract Infections ◽  
Healthcare Associated

Abstract Background A 2011 prevalence survey conducted by CDC and the Emerging Infections Program (EIP) showed that 1 in 25 hospital patients had ≥1 healthcare-associated infection (HAI). We repeated the survey in 2015 to assess changes in HAI prevalence.​ Methods In EIP sites (CA, CO, CT, GA, MD, MN, NM, NY, OR, TN) hospitals that participated in the 2011 survey were recruited for the 2015 survey. Hospitals selected 1 day from May–September 2015 on which a random patient sample was identified from the morning census. Trained EIP staff reviewed patient medical records using comparable methods and the same National Healthcare Safety Network HAI definitions used in 2011. Proportions of patients with HAIs were compared using chi-square tests; patient characteristics were compared using chi-square or median tests (OpenEpi 3.01, SAS 9.3). Results Data were available from 143 hospitals that participated in both surveys; data from 8954 patients in the 2011 survey were compared with preliminary data from 8833 patients in the 2015 survey. Patient characteristics such as median age, days from admission to survey, and critical care location were similar. Urinary catheter prevalence was lower in 2015 (1,589/8,833, 18.0%) compared with 2011 (2,052/8,954, 22.9%, P < 0.0001), as was central line prevalence (2015: 1,539/8,833, 17.4%, vs. 2011: 1,687/8,954, 18.8%, P = 0.02). The proportion of patients with HAIs was lower in 2015 (284/8,833, 3.2%, 95% confidence interval [CI] 2.9–3.6%) than in 2011 (362/8,954, 4.0%, 95% CI 3.7–4.5%, P = 0.003). Of 309 HAIs in 2015, pneumonia (PNEU) and Clostridium difficileinfections (CDI) were most common (Figure); proportions of patients with PNEU and/or CDI were similar in 2015 (130/8833, 1.5%) and 2011 (133/8954, 1.5%, P = 0.94). A lower proportion of patients had surgical site (SSI) and/or urinary tract infections (UTI) in 2015 (77/8833, 0.9%) vs. 2011 (136/8954, 1.5%, P < 0.001). Conclusion HAI prevalence was significantly lower in 2015 compared with 2011. This is partially explained by fewer SSI and UTI, suggesting national efforts to prevent SSI, reduce catheter use and improve UTI diagnosis are succeeding. By contrast, there was no change in the prevalence of the most common HAIs in 2015, PNEU and CDI, indicating a need for increased prevention efforts in hospitals. Disclosures All authors: No reported disclosures.

The Past, Present, and Future of Healthcare-Associated Infection Prevention in Pediatrics: Multidrug-Resistant Organisms

2010 ◽  
Vol 31 (S1) ◽  
pp. S18-S21 ◽  
Author(s):  
Aaron M. Milstone ◽  
Kristina A. Bryant ◽  
W. Charles Huskins ◽  
Danielle M. Zerr
Keyword(s):  
Hospital Stay ◽  
Infection Prevention ◽  
Multidrug Resistant ◽  
Healthcare Associated Infections ◽  
Healthcare Associated Infection ◽  
Research Topics ◽  
The Past ◽  
Multidrug Resistant Organisms ◽  
Healthcare Associated

Multidrug resistant organisms (MDROs) and healthcare-associated infections (HAIs) are associated with increased lengths of hospital stay, increased costs, and increased mortality. We explore the scope of MDRO HAIs in children, current MDRO HAI prevention practices and data to support these practices, and we propose research topics targeting MDRO HAI prevention in children.

scholarly journals Comparing Hospital Healthcare-Associated Infection Incidence During Pre-COVID-19 Pandemic and Pandemic Eras

2021 ◽  
Vol 1 (S1) ◽  
pp. s45-s46
Author(s):  
Andrea Parriott ◽  
N. Neely Kazerouni ◽  
Erin Epson
Keyword(s):  
Antimicrobial Resistance ◽  
Bloodstream Infection ◽  
Incomplete Data ◽  
Central Line ◽  
Incidence Rates ◽  
Healthcare Associated Infection ◽  
California Department ◽  
Crude Incidence ◽  
Infection Incidence ◽  
Healthcare Associated

Background: Diversion of resources from infection prevention activities, personal protective equipment supply shortages, conservation (extended use and reuse) or overuse with multiple gown and glove layers, and antimicrobial prescribing changes during the COVID-19 pandemic might increase healthcare-associated infection (HAI) incidence and antimicrobial resistance. We compared the incidences of Clostridioides difficile infection (CDI), methicillin-resistant Staphyloccocus aureus bloodstream infection (MRSA BSI), and vancomycin-resistant enterococci bloodstream infection (VRE BSI) reported by California hospitals during the COVID-19 pandemic with incidence data collected prior to the pandemic. Methods: Using data reported by hospitals to the California Department of Health via the NHSN, we compared incidences in the second and third quarters of 2020 (pandemic) to the second and third quarters of 2019 (before the pandemic). For CDI and MRSA BSI, we compared the standardized infection ratios (SIRs, based on the 2015 national baseline), and we calculated the P values. No adjustment model is available for VRE BSI; thus, we measured incidence via crude incidence rates (infections per 100,000 patient days). We calculated incidence rate ratio (IRR) with 95% CI for VRE BSI. To examine the possible effect of missing data during the pandemic, we performed a sensitivity analysis by excluding all facilities that had incomplete data reporting at any time during either analysis period. Results: Incidence measures and numbers of facilities contributing data in prepandemic and pandemic periods are shown in Table 1. There were no statistically significant changes in SIRs at P = .05 for either MRSA BSI or CDI between the prepandemic and pandemic periods (MRSA BSI P = .17; CDI P = .08). Crude VRE BSI incidence increased during the pandemic compared to the prepandemic period (IRR, 1.40; 95% CI, 1.16–1.70). Excluding facilities with incomplete data had minimal effect. Conclusions: We found insufficient evidence that MRSA BSI or CDI incidence changed in California hospitals during the pandemic relative to the prepandemic period; however, there was a significant increase in the crude incidence of VRE BSI. Next, we will include interrupted time series analyses to assess departure from long-term trends, including a risk-adjusted model for VRE BSI. Additionally, we will evaluate for changes in central-line–associated bloodstream infection incidence and antimicrobial resistance among HAI pathogens.Funding: NoDisclosures: None

Mycobacteriosis as a Healthcare-Associated Infection: A Review of Epidemiologic Studies

2020 ◽  
pp. 37-41
Author(s):  
IV Petrov ◽  
TKh Amirova ◽  
LV Petrova ◽  
FS Petrova
Keyword(s):  
Skin Diseases ◽  
Nontuberculous Mycobacteria ◽  
Clinical Manifestations ◽  
Mycobacterial Infection ◽  
Epidemiologic Studies ◽  
Health Facilities ◽  
Water Supply Systems ◽  
Healthcare Associated Infections ◽  
Healthcare Associated Infection ◽  
Healthcare Associated

Introduction: Healthcare-associated infections are of great socio-economic importance and are characterized by a large number of different pathogens. Nontuberculous mycobacteria are ubiquitous microorganisms that can circulate in a medical organization. The purpose of this review of epidemiologic studies was to establish the main features of mycobacteriosis as a healthcare-associated infection, taking into account the significance of the results and the compliance of the reviewed studies with the criteria of evidence-based medicine. Methods: We did a key word search for “nontuberculous mycobacteria”, “healthcare-associated infections”, and “mycobacteriosis” in several electronic bibliographic databases including Web of Science, PubMed, eLIBRARY, and ResearchGate and selected 127 out of 342 search results. Having analyzed the selected articles, we decided to include 34 of them in this study according to the topic of work. We established that nontuberculous mycobacteria can be found in various objects of health facilities, e.g. water supply systems, medical products and equipment. We also found that mycobacterial infection of nosocomial etiology could have various clinical manifestations (arthritis, keratitis, circulatory and skin diseases, etc.) determined by various aspects, such as heterogeneity of the group of nontuberculous mycobacteria, portals of entry (surgical procedures on various organs and systems of the human body, etc.), pathways of exposure and transmission factors. Resistance of nontuberculous mycobacteria to a number of disinfectants is a special question defining the importance of profound research in terms of ensuring sanitary and anti-epidemic (disinfection) safety within health facilities. Conclusions: Our findings indicate that mycobacterial infection can be considered as a healthcare-associated infection requiring an in-depth assessment from various perspectives including a microbiological monitoring of medical objects, statistical accounting of nosocomial infections, and clinical alertness in the diagnosis of mycobacteriosis by attending physicians and bacteriologists, etc.

scholarly journals Pathogens Associated With Repeat Versus Single Central-Line–Associated Bloodstream Infections, Acute-Care Hospitals, NHSN

2020 ◽  
Vol 41 (S1) ◽  
pp. s343-s344
Author(s):  
Margaret A. Dudeck ◽  
Katherine Allen-Bridson ◽  
Jonathan R. Edwards
Keyword(s):  
Acute Care ◽  
National Level ◽  
Bloodstream Infections ◽  
Acute Care Hospitals ◽  
Central Line ◽  
Patient Specific ◽  
Healthcare Associated Infections ◽  
Healthcare Associated ◽  
Repeat Infection ◽  
Single Versus

Background: The NHSN is the nation’s largest surveillance system for healthcare-associated infections. Since 2011, acute-care hospitals (ACHs) have been required to report intensive care unit (ICU) central-line–associated bloodstream infections (CLABSIs) to the NHSN pursuant to CMS requirements. In 2015, this requirement included general medical, surgical, and medical-surgical wards. Also in 2015, the NHSN implemented a repeat infection timeframe (RIT) that required repeat CLABSIs, in the same patient and admission, to be excluded if onset was within 14 days. This analysis is the first at the national level to describe repeat CLABSIs. Methods: Index CLABSIs reported in ACH ICUs and select wards during 2015–2108 were included, in addition to repeat CLABSIs occurring at any location during the same period. CLABSIs were stratified into 2 groups: single and repeat CLABSIs. The repeat CLABSI group included the index CLABSI and subsequent CLABSI(s) reported for the same patient. Up to 5 CLABSIs were included for a single patient. Pathogen analyses were limited to the first pathogen reported for each CLABSI, which is considered to be the most important cause of the event. Likelihood ratio χ2 tests were used to determine differences in proportions. Results: Of the 70,214 CLABSIs reported, 5,983 (8.5%) were repeat CLABSIs. Of 3,264 nonindex CLABSIs, 425 (13%) were identified in non-ICU or non-select ward locations. Staphylococcus aureus was the most common pathogen in both the single and repeat CLABSI groups (14.2% and 12%, respectively) (Fig. 1). Compared to all other pathogens, CLABSIs reported with Candida spp were less likely in a repeat CLABSI event than in a single CLABSI event (P < .0001). Insertion-related organisms were more likely to be associated with single CLABSIs than repeat CLABSIs (P < .0001) (Fig. 2). Alternatively, Enterococcus spp or Klebsiella pneumoniae and K. oxytoca were more likely to be associated with repeat CLABSIs than single CLABSIs (P < .0001). Conclusions: This analysis highlights differences in the aggregate pathogen distributions comparing single versus repeat CLABSIs. Assessing the pathogens associated with repeat CLABSIs may offer another way to assess the success of CLABSI prevention efforts (eg, clean insertion practices). Pathogens such as Enterococcus spp and Klebsiella spp demonstrate a greater association with repeat CLABSIs. Thus, instituting prevention efforts focused on these organisms may warrant greater attention and could impact the likelihood of repeat CLABSIs. Additional analysis of patient-specific pathogens identified in the repeat CLABSI group may yield further clarification.Funding: NoneDisclosures: None

Burden of healthcare-associated infections among hospitalized children within community hospitals participating in an infection control network

2021 ◽  
pp. 1-3
Author(s):  
Ibukunoluwa C. Akinboyo ◽  
Rebecca R. Young ◽  
Michael J. Smith ◽  
Sarah S. Lewis ◽  
Becky A. Smith ◽  
...  
Keyword(s):  
Infection Control ◽  
Bloodstream Infections ◽  
Central Line ◽  
Control Network ◽  
Hospitalized Children ◽  
Healthcare Associated Infections ◽  
Community Hospitals ◽  
Prospective Surveillance ◽  
Healthcare Associated ◽  
Pediatric Healthcare

Abstract We describe the frequency of pediatric healthcare-associated infections (HAIs) identified through prospective surveillance in community hospitals participating in an infection control network. Over a 6-year period, 84 HAIs were identified. Of these 51 (61%) were pediatric central-line–associated bloodstream infections, and they often occurred in children <1 year of age.

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