Classification of bloodstream infections in patients recently discharged from acute-care facilities: Hospital acquired or healthcare-associated community onset?

2019 ◽  
Vol 40 (11) ◽  
pp. 1313-1315
Author(s):  
Riad Khatib ◽  
Mamta Sharma ◽  
Mohamad G. Fakih ◽  
Kathleen M. Riederer ◽  
Leonard B. Johnson
Keyword(s):  
Acute Care ◽  
Bloodstream Infections ◽  
Infection Risk ◽  
Care Facilities ◽  
Discharged Patients ◽  
Acute Care Facilities ◽  
Healthcare Associated ◽  
Hospital Acquired ◽  
Community Onset

AbstractLaboratory-identified bloodstream infections (LAB-ID BSIs) in recently discharged patients are likely to be classified as healthcare-associated community-onset (HCA-CO) infections, even though they may represent hospital-onset (HO) infections. A review of LAB-ID BSIs among patients discharged within 14 days revealed that 109 of 756 cases (14.4%) were HO infections. The BSI risk being misclassified as HCA CO may underestimate the hospital infection risk.

scholarly journals Prevalence of Healthcare-Associated Infections and Antimicrobial Resistance in Rural Alberta Acute-Care Facilities

2020 ◽  
Vol 41 (S1) ◽  
pp. s76-s76
Author(s):  
Jennifer Ellison ◽  
Uma Chandran ◽  
Jennifer Happe ◽  
Ye Shen ◽  
Jayson Shurgold ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Acute Care ◽  
Antimicrobial Use ◽  
Healthcare Associated Infections ◽  
Similar Data ◽  
Care Facilities ◽  
Acute Care Settings ◽  
Acute Care Facilities ◽  
Tract Infections ◽  
Healthcare Associated

Background: Antibiotic-resistant organisms (AROs) are associated with greater disease severity and poor outcomes. Previous studies have investigated AROs and healthcare-associated infections (HAIs) within larger urban acute-care settings, but similar data for rural settings are scarce. In this stud, we aimed to fill this gap. Methods: Data on antimicrobial resistance (AMR), additional precautions and HAI were collected from 8 rural Alberta acute-care facilities over a 24-hour period from February 4–28, 2019. Data were gathered as part of the national Canadian, Rural, and Northern Acute Care Point Prevalence (CNAPP) survey. All inpatients on included units were reviewed. CNAPP protocol surveillance definitions were used. Results: In total, 961 patients were surveyed, of whom 94 of 961 (9.8%) were on additional precautions. Contact precautions only were most common (54 of 94, 57.4%) and were predominantly in place for MRSA (30 of 94, 31.9%). Of 961 patients, 100 (~10%) met the surveillance definitions for any infection. The most common infections were skin and soft-tissue infections (29 of 100, 29.0%) and bloodstream infections (28 of 100, 28.0%). An HAI occurred in 30 of 961 patients (3.1%); the most common HAIs were surgical site infections (8 of 30, 26.7%) and urinary tract infections (8 of 30, 26.7%). An antimicrobial was prescribed to 333 of 961 patients (34.6%) at the time of the survey, with ceftriaxone the most commonly prescribed (68 of 333, 20.4%). Most patients receiving an antimicrobial (237 of 333, 71.2%) did not meet the surveillance definition for any infection. The most common reason for any antimicrobial administration was empiric therapy (167 of 333, 50.1%). Conclusions: Investigations into antimicrobial use and the burden of HAIs in rural acute-care settings have been limited. In this study, we (1) established provincial baseline data for burden of disease in these facilities due to HAIs and (2) demonstrated that antimicrobial use is common, though most patients who were prescribed an antimicrobial did not meet study definitions for infection. It will be important to continue this type of surveillance in this understudied population to monitor the burden of HAIs over time, to establish antimicrobial utilization trends, and to continue to identify potential antimicrobial stewardship initiatives.Funding: NoneDisclosures: None

scholarly journals Planning for the aftershocks: a model of post-acute care needs for hospitalized COVID-19 patients

2020 ◽  
Author(s):  
Matthew Maloney ◽  
Ryan Morley ◽  
Robert Checketts ◽  
Peter Weir ◽  
Darryl Barfuss ◽  
...  
Keyword(s):  
Acute Care ◽  
Care Needs ◽  
University Of Utah ◽  
Care Services ◽  
Care Facilities ◽  
Discharged Patients ◽  
Acute Care Services ◽  
Acute Care Facilities ◽  
The University ◽  
Post Acute Care

AbstractSince its emergence in late 2019, COVID-19 has caused significant global morbidity and mortality, overwhelming health systems. Considerable attention has been paid to the burden COVID-19 has put on acute care hospitals, with numerous models projecting hospitalizations and ICU needs for the duration of the pandemic. However, less attention has been paid to where these patients may go if they require additional care following hospital discharge. As COVID-19 patients recover from severe infections, many of them require additional care. Yet with post-acute care facilities averaging 85% capacity prior to the pandemic and the significant potential for outbreaks, consideration of the downstream effects of the surge of hospitalized COVID-19 patients is critical. Here, we present a method for projecting COVID-19 post-acute care needs. Our model is designed to take the output from any of the numerous epidemiological models (hospital discharges) and estimate the flow of patients to post-acute care services, thus providing a similar surge planning model for post-acute care services. Using data from the University of Utah Hospital, we find that for those who require specialized post-acute care, the majority require either home health care or skilled nursing facilities. Likewise, we find the expected peak in post-acute care occurs about two weeks after the expected peak for acute care hospitalizations, a result of the duration of hospitalization. This short delay between acute care and post-acute care surges highlights the importance of considering the organization necessary to accommodate the influx of recovering COVID-19 patients and protect non-COVID-19 patients prior to the peak in acute care hospitalizations. We developed this model to guide policymakers in addressing the “aftershocks” of discharged patients requiring further supportive care; while we only show the outcomes for discharges based on preliminary data from the University of Utah Hospital, we suggest alternative uses for our model including adapting it to explore potential alternative strategies for addressing the surge in acute care facilities during future pandemic waves.Author SummaryCOVID-19 has caused significant morbidity and mortality globally, putting considerable strain on healthcare systems as a result of high rates of hospitalization and critical care needs among COVID-19 patients. To address this immediate need, a number of decision support tools have been developed to project hospitalization, intensive care unit (ICU) hospitalizations, and ventilator needs for the COVID-19 pandemic. As COVID-19 patients are discharged from acute care hospitals, many of them will require significant additional post-acute care. However, with post-acute care facilities at high capacity prior to the influx of COVID-19 patients and with significant outbreak potential in long-term care facilities, there is high potential for shortages of post-acute care services. Here, we present a model of COVID-19 post-acute care needs that is analogous to most epidemiological models of COVID-19 hospitalization and ICU care needs. We develop our model on University of Utah Hospital data and demonstrate its utility and its flexibility to be used in other contexts. Our model aims to guide public health policymaking in addressing the “aftershocks” of discharged patients requiring further care, to prevent potential healthcare shortages.

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

scholarly journals A 6-Year Review of Carbapenemase-Producing Organisms in Alberta, Canada

2020 ◽  
Vol 41 (S1) ◽  
pp. s104-s105
Author(s):  
Ye Shen ◽  
Jennifer Ellison ◽  
Uma Chandran ◽  
Sumana Fathima ◽  
Jamil Kanji ◽  
...  
Keyword(s):  
Acute Care ◽  
Management Practices ◽  
Hospital Setting ◽  
Data Sources ◽  
Infection Prevention And Control ◽  
Term Care ◽  
Carbapenemase Gene ◽  
Care Facilities ◽  
Hospital Acquired ◽  
Alberta Health

Background: This review describes the epidemiology of carbapenemase-producing organisms (CPO) in both the community and hospitalized populations in the province of Alberta. Methods: Newly identified CPO-positive individuals from April 1, 2013, to March 31, 2018, were retrospectively reviewed from 3 data sources, which shared a common provincial CPO case definition: (1) positive CPO results from the Provincial Laboratory for Public Health, which provides all referral and confirmatory CPO testing, (2) CPO cases reported to Alberta Health, and (3) CPO surveillance from Alberta Health Services Infection Prevention and Control (IPC). The 3 data sources were collated, and initial CPO cases were classified according to their likely location of acquisition: hospital-acquired, hospital-identified, on admission, and community-identified. Risk factors and adverse outcomes were obtained from linkage to administrative data. Results: In total, 171 unique individuals were newly identified with a first-time CPO case. Also, 15% (25 of 171) were hospital-acquired (HA), 21% (36 of 171) were hospital-identified (HI), 33% (57 of 171) were on admission, and 31% (53 of 171) were community identified. Overall, 9% (5 of 171) resided in long-term care facilities. Of all patients in acute-care facilities, 30% (35 of 118) had infections and 70% were colonized. Overall, 38% (65 of 171) had an acute-care admission in the 1 year prior to CPO identification; 59% (63 of 106) of those who did not have a previous admission had received healthcare outside Alberta. A large proportion of on-admission cases (81%, 46 of 57) and community-identified (66%, 33 of 53) cases did not have any acute-care admissions in Alberta in the previous year. Overall, 10% (14 of 171) had ICU admissions in Alberta within 30 days of CPO identification, and 5% (8 of 171) died within 30 days. The most common carbapenemase gene identified was NDM-1 (53%, 90 of 171). Conclusions: These findings highlight the robust nature of Alberta’s provincial CPO surveillance network. We reviewed 3 different databases (laboratory, health ministry, IPC) to obtain comprehensive data to better understand the epidemiology of CPO in both the community and hospital settings. More than half of the individuals with CPO were initially identified in the community or on admission. Most had received healthcare outside Alberta, and no acute-care admissions occurred in Alberta in the previous year. It is important to be aware of the growing reservoir of CPO outside the hospital setting because it could impact future screening and management practices.Funding: NoneDisclosures: None

scholarly journals Surveillance nursing diagnoses, ongoing assessment and outcomes on in-patients who suffered a cardiorespiratory arrest

2018 ◽  
Vol 51 (0) ◽  
Author(s):  
Maria-Eulàlia Juvé-Udina ◽  
Núria Fabrellas-Padrés ◽  
Jordi Adamuz-Tomás ◽  
Sònia Cadenas-González ◽  
Maribel Gonzalez-Samartino ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Acute Care ◽  
Vital Signs ◽  
Cross Sectional ◽  
Care Plans ◽  
Care Facilities ◽  
Cross Sectional Design ◽  
Acute Care Facilities ◽  
Ongoing Assessment ◽  
Nursing Diagnoses

ABSTRACT Objective The purposes of this study were to examine the frequency of surveillance-oriented nursing diagnoses and interventions documented in the electronic care plans of patients who experienced a cardiac arrest during hospitalization, and to observe whether differences exist in terms of patients’ profiles, surveillance measurements and outcomes. Method A descriptive, observational, retrospective, cross-sectional design, randomly including data from electronic documentation of patients who experienced a cardiac arrest during hospitalization in any of the 107 adult wards of eight acute care facilities. Descriptive statistics were used for data analysis. Two-tailed p-values are reported. Results Almost 60% of the analyzed patients’ e-charts had surveillance nursing diagnoses charted in the electronic care plans. Significant differences were found for patients who had these diagnoses documented and those who had not in terms of frequency of vital signs measurements and final outcomes. Conclusion Surveillance nursing diagnoses may play a significant role in preventing acute deterioration of adult in-patients in the acute care setting.

Carbapenem-ResistantKlebsiella pneumoniaein Post-Acute-Care Facilities in Israel

2011 ◽  
Vol 32 (9) ◽  
pp. 845-853 ◽  
Author(s):  
Debby Ben-David ◽  
Samira Masarwa ◽  
Shiri Navon-Venezia ◽  
Hagit Mishali ◽  
Ilan Fridental ◽  
...  
Keyword(s):  
Risk Factors ◽  
Acute Care ◽  
Case Control Study ◽  
Case Control ◽  
Antibiotic Exposure ◽  
Care Facilities ◽  
History Of ◽  
Independent Risk Factors ◽  
Acute Care Facilities ◽  
Control Study

Objective.To assess the prevalence of and risk factors for carbapenem-resistantKlebsiella pneumoniae(CRKP) carriage among patients in post-acute-care facilities (PACFs) in Israel.Design, Setting, and Patients.A cross-sectional prevalence survey was conducted in 12 PACFs. Rectal swab samples were obtained from 1,144 patients in 33 wards. Risk factors for CRKP carriage were assessed among the cohort. Next, a nested, matched case-control study was conducted to define individual risk factors for colonization. Finally, the cohort of patients with a history of CRKP carriage was characterized to determine risk factors for continuous carriage.Results.The prevalence of rectal carriage of CRKP among 1,004 patients without a history of CRKP carriage was 12.0%. Independent risk factors for CRKP carriage were prolonged length of stay (odds ratio [OR], 1.001;P< .001), sharing a room with a known carrier (OR, 3.09;P= .02), and increased prevalence of known carriers on the ward (OR, 1.02;P= .013). A policy of screening for carriage on admission was protective (OR, 0.41;P= .03). Risk factors identified in the nested case-control study were antibiotic exposure during the prior 3 months (OR, 1.66;P= .03) and colonization with other resistant pathogens (OR, 1.64;P= .03). Among 140 patients with a history of CRKP carriage, 47% were colonized. Independent risk factors for continued CRKP carriage were antibiotic exposure during the prior 3 months (OR, 3.05;P= .04), receipt of amoxicillin-clavulanate (OR, 4.18;P= .007), and screening within 90 days of the first culture growing CRKP (OR, 2.9;P= .012).Conclusions.We found a large reservoir of CRKP in PACFs. Infection-control polices and antibiotic exposure were associated with patient colonization.

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