scholarly journals 539. Canaries in a Coal Mine?: Early Identification of Regional Spread of Novel Multidrug-resistant Organisms (MDROs) Using Sentinel Surveillance in Skilled Nursing Facilities Caring For Ventilated Patients (vSNFs)

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S257-S258
Author(s):  
Prabasaj Paul ◽  
Rachel Slayton ◽  
Maroya S Walters ◽  
John A Jernigan
Keyword(s):  
Real Time ◽  
Acute Care ◽  
Clinical Microbiology ◽  
Acute Care Hospitals ◽  
Sentinel Surveillance ◽  
Point Prevalence ◽  
Care Hospital ◽  
Real Time Monitoring ◽  
Healthcare Facilities

Abstract Background Regional containment of novel or targeted MDROs depends on detecting their presence as soon as possible following their introduction. Prior modeling studies suggest that after importation to a region, novel MDROs appear relatively quickly in certain high-risk post-acute long-term care facilities via patient movement. Sentinel surveillance in such facilities might facilitate early detection of emergent MDROs, thereby enhancing the effectiveness of containment efforts. Methods We simulated the introduction and spread of carbapenem-resistant Enterobacteriaceae (CRE) in a region using an adaptation of a previously described susceptible-infectious-susceptible model (Clin Infect Dis. 2019 March 28 doi: 10.1093/cid/ciz248). The model includes the patient sharing network among healthcare facilities in an exemplar US state, using claims data and the Minimum Data Set from the Centers for Medicare & Medicaid Services for 2015. Disease progression, transmission and testing rates were estimated for CRE using data from the literature. Each simulated outbreak was initiated with a single importation to a Dartmouth Atlas of Health Care hospital referral region. The predicted timing of first CRE detection using two different data sources was compared: (1) real-time monitoring of clinical microbiology test results, or (2) results from quarterly point prevalence colonization surveys (PPSs). For each data source, the timing of earliest detection was compared according to availability of data from: (a) all healthcare facilities statewide, (b) only long-term acute care hospitals, (c) only vSNFs, or (d) only the largest acute care hospitals in the state (n = 23). Results Compared with real-time monitoring of clinical microbiology testing results from all facilities statewide, quarterly PPSs at all facilities detected CRE 446 days (median; range 312–608 days) earlier, while PPSs at only vSNFs (representing 4.4% of inpatient beds statewide) detected CRE 385 days (range 194–553 days) earlier (figures). Conclusion Regular point prevalence surveys in vSNFs may detect new MDROs in a region approximately one year sooner than real-time monitoring of clinical microbiology results, and may be an efficient strategy for early regional detection and subsequent containment. Disclosures All authors: No reported disclosures.

scholarly journals 174. Increase in Candida auris cases in New Jersey healthcare facilities during the COVID-19 pandemic — 2017–2020

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S106-S107
Author(s):  
Reed Magleby ◽  
Gabriel Innes ◽  
Diya Cherian ◽  
Jessica Arias ◽  
Jason Mehr ◽  
...  
Keyword(s):  
New Jersey ◽  
Acute Care ◽  
Acute Care Hospitals ◽  
Point Prevalence ◽  
Candida Auris ◽  
Healthcare Facilities ◽  
Clinical Specimens ◽  
Department Of Health ◽  
Percent Positivity

Abstract Background Candida auris is a fungal pathogen associated with multidrug resistance, high mortality, and healthcare transmission. Since its U.S. emergence in 2017, to March 19, 2021, 1708 clinical infections were reported nationwide, of which 235 (13.8%) were reported in New Jersey. The New Jersey Department of Health (NJDOH) maintains C. auris surveillance in healthcare facilities (HCF) such as acute care hospitals, long-term acute care hospitals (LTACHs), and skilled nursing facilities, to monitor clinical infections and patient colonization. We aimed to characterize the epidemiology of C. auris infection and colonization among HCF patients during 2017–2020. Methods HCFs report C. auris cases identified from clinical specimens and surveillance activities such as admission screenings and point prevalence surveys (PPS) to NJDOH. Cases are classified as either infection or colonization using National Notifiable Diseases Surveillance System case definitions. We analyzed cases reported during 2017–2020 to describe types of cases, facilities reporting cases, and demographics of affected patients. We analyzed PPS results to calculate percent positivity of tests from patients without previously identified infection and compared percent positivity between types of facilities. We examined quarterly trends for all variables before and after the COVID-19 pandemic peak in the second quarter of 2020. Results During 2017–2020, 614 C. auris cases identified from clinical specimens were reported to NJDOH [243 (39.6%) infection, 371 (60.4%) colonization]; of these, 139 (57.2%) and 301 (81.1%) , respectively, were identified at long-term acute care hospitals (LTACHs). PPS percent positivity was higher at LTACHs (mean 7.6%) compared with all other facility types (mean 3.6%) for 13 of 16 quarters during 2017–2020. Case reports increased 2.6-fold from the Q2 2020 peak of the COVID-19 pandemic to Q3 2020.From Q1 to Q4 2020, PPS percent positivity increased from 4.8% to 10.5%. Figure 1. Candida auris cases reported to New Jersey Department of Health, 2017–2020 Figure 2. Candida auris test percent positivity among healthcare facility patients sampled for point prevalence surveys* and total number of C. auris point prevalence tests performed, New Jersey, 2017–2020. *Excluding individuals already known to be cases Conclusion The COVID-19 pandemic may have exacerbated C. auris transmission in HCF and potential causes should be further explored. LTACHs carry a disproportionate burden of patients colonized with C. auris and should be prioritized for surveillance and containment efforts. Disclosures All Authors: No reported disclosures

Acute Emergence of Elizabethkingia meningoseptica Infection among Mechanically Ventilated Patients in a Long-Term Acute Care Facility

2010 ◽  
Vol 31 (1) ◽  
pp. 54-58 ◽  
Author(s):  
Kingsley N. Weaver ◽  
Roderick C. Jones ◽  
Rosemary Albright ◽  
Yolanda Thomas ◽  
Carlos H. Zambrano ◽  
...  
Keyword(s):  
Acute Care ◽  
Acute Care Hospital ◽  
Care Facility ◽  
Acute Care Hospitals ◽  
Care Hospital ◽  
Mechanically Ventilated ◽  
Mechanically Ventilated Patients ◽  
Elizabethkingia Meningoseptica ◽  
Ventilated Patients

Objective.To describe an outbreak of infection associated with an infrequently implicated pathogen, Elizabethkingia meningoseptica, in an increasingly prominent setting for health care of severely ill patients, the long-term acute care hospital.Design.Outbreak investigation.Setting.Long-term acute care hospital with 55 patients, most of whom were mechanically ventilated.Methods.We defined a case as E. meningoseptica isolated from any patient specimen source from December 2007 through April 2008, conducted an investigation of case patients, obtained environmental specimens, and performed microbiologic testing.Results.Nineteen patients had E. meningoseptica infection, and 8 died. All case patients had been admitted with respiratory failure that required mechanical ventilation. Among the 8 individuals who died, the time from collection of the first specimen positive for E. meningoseptica to death ranged from 6 to 43 days (median, 16 days). Environmental sampling was performed on 106 surfaces; E. meningoseptica was isolated from only one swab. Three related pulsed-field gel electrophoresis patterns were identified in patient isolates; the environmental isolate yielded a fourth, unrelated pattern.Conclusion.Long-term acute care hospitals with mechanically ventilated patients could serve as an important transmission setting for E. meningoseptica. This multidrug-resistant bacterium could pose additional risk when patients are transferred between long-term acute care hospitals and acute care hospitals.

scholarly journals Long-term acute care hospitals and Georgia Medicaid: Utilization, outcomes, and cost

2016 ◽  
Vol 4 ◽  
pp. 205031211667092
Author(s):  
Evan S. Cole ◽  
Carla Willis ◽  
William C Rencher ◽  
Mei Zhou
Keyword(s):  
Acute Care ◽  
Diagnosis Related Groups ◽  
Acute Care Hospital ◽  
Acute Care Hospitals ◽  
Risk Scores ◽  
Average Risk ◽  
Care Hospital ◽  
Hospital Patients ◽  
Medicaid Population

Objectives: Because most research on long-term acute care hospitals has focused on Medicare, the objective of this research is to describe the Georgia Medicaid population who received care at a long-term acute care hospital, the type and volume of services provided by these long-term acute care hospitals, and the costs and outcomes of these services. For those with select respiratory conditions, we descriptively compare costs and outcomes to those of patients who received care for the same services in acute care hospitals. Methods: We describe Georgia Medicaid recipients admitted to a long-term acute care hospital between 2011 and 2012. We compare them to a population of Georgia Medicaid recipients admitted to an acute care hospital for one of five respiratory diagnosis-related groups. Measurements used include patient descriptive information, admissions, diagnosis-related groups, length of stay, place of discharge, 90-day episode costs, readmissions, and patient risk scores. Results: We found that long-term acute care hospital admissions for Medicaid patients were fairly low (470 90-day episodes) and restricted to complex cases. We also found that the majority of long-term acute care hospital patients were blind or disabled (71.2%). Compared to patients who stayed at an acute care hospital, long-term acute care hospital patients had higher average risk scores (13.1 versus 9.0), lengths of stay (61 versus 38 days), costs (US$143,898 versus US$115,056), but fewer discharges to the community (28.4% versus 51.8%). Conclusion: We found that the Medicaid population seeking care at long-term acute care hospitals is markedly different than the Medicare populations described in other long-term acute care hospital studies. In addition, our study revealed that Medicaid patients receiving select respiratory care at a long-term acute care hospital were distinct from Medicaid patients receiving similar care at an acute care hospital. Our findings suggest that state Medicaid programs should carefully consider reimbursement policies for long-term acute care hospitals, including bundled payments that cover both the original hospitalization and long-term acute care hospital admission.

scholarly journals Prevalence of healthcare-associated infections, estimated incidence and composite antimicrobial resistance index in acute care hospitals and long-term care facilities: results from two European point prevalence surveys, 2016 to 2017

2018 ◽  
Vol 23 (46) ◽  
Author(s):  
Carl Suetens ◽  
Katrien Latour ◽  
Tommi Kärki ◽  
Enrico Ricchizzi ◽  
Pete Kinross ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Acute Care ◽  
Long Term Care ◽  
Acute Care Hospitals ◽  
Point Prevalence ◽  
Healthcare Associated Infections ◽  
Term Care ◽  
Care Facilities ◽  
Healthcare Associated

Point prevalence surveys of healthcare-associated infections (HAI) and antimicrobial use in the European Union and European Economic Area (EU/EEA) from 2016 to 2017 included 310,755 patients from 1,209 acute care hospitals (ACH) in 28 countries and 117,138 residents from 2,221 long-term care facilities (LTCF) in 23 countries. After national validation, we estimated that 6.5% (cumulative 95% confidence interval (cCI): 5.4–7.8%) patients in ACH and 3.9% (95% cCI: 2.4–6.0%) residents in LTCF had at least one HAI (country-weighted prevalence). On any given day, 98,166 patients (95% cCI: 81,022–117,484) in ACH and 129,940 (95% cCI: 79,570–197,625) residents in LTCF had an HAI. HAI episodes per year were estimated at 8.9 million (95% cCI: 4.6–15.6 million), including 4.5 million (95% cCI: 2.6–7.6 million) in ACH and 4.4 million (95% cCI: 2.0–8.0 million) in LTCF; 3.8 million (95% cCI: 3.1–4.5 million) patients acquired an HAI each year in ACH. Antimicrobial resistance (AMR) to selected AMR markers was 31.6% in ACH and 28.0% in LTCF. Our study confirmed a high annual number of HAI in healthcare facilities in the EU/EEA and indicated that AMR in HAI in LTCF may have reached the same level as in ACH.

scholarly journals Time spent in prior hospital stay and outcomes for ventilator patients in long-term acute care hospitals

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Berna Demiralp ◽  
Lane Koenig ◽  
Jing Xu ◽  
Samuel Soltoff ◽  
John Votto
Keyword(s):  
Mechanical Ventilation ◽  
Endotracheal Intubation ◽  
Acute Care ◽  
Prolonged Mechanical Ventilation ◽  
Acute Care Hospitals ◽  
Care Hospital ◽  
Mechanical Ventilator ◽  
Ventilated Patients ◽  
Ventilator Patients

Abstract Background Long-term acute care hospitals (LTACHs) treat mechanical ventilator patients who are difficult to wean and expected to be on mechanical ventilator for a prolonged period. However, there are varying views on who should be transferred to LTACHs and when they should be transferred. The purpose of this study is to assess the relationship between length of stay in a short-term acute care hospital (STACH) after endotracheal intubation (time to LTACH) and weaning success and mortality for ventilated patients discharged to an LTACH. Methods Using 2014–2015 Medicare claims and assessment data, we identified patients who had an endotracheal intubation in STACH and transferred to an LTACH with prolonged mechanical ventilation (defined as 96 or more consecutive hours on a ventilator). We controlled for age, gender, STACH stay procedures and diagnoses, Elixhauser comorbid conditions, and LTACH quality characteristics. We used instrumental variable estimation to account for unobserved patient and provider characteristics. Results The study cohort included 13,622 LTACH cases with median time to LTACH of 18 days. The unadjusted ventilator weaning rate at LTACH was 51.7%, and unadjusted 90-day mortality rate was 43.7%. An additional day spent in STACH after intubation is associated with 11.6% reduction in the odds of weaning, representing a 2.5 percentage point reduction in weaning rate at 18 days post endotracheal intubation. We found no statistically significant relationship between time to LTACH and the odds of 90-day mortality. Conclusions Discharging ventilated patients earlier from STACH to LTACH is associated with higher weaning probability for LTACH patients on prolonged mechanical ventilation. Our findings suggest that delaying ventilated patients’ discharge to LTACH may negatively influence the patients’ chances of being weaned from the ventilator.

scholarly journals Outbreak of Carbapenem-Resistant Enterobacteriaceae at a Long-Term Acute Care Hospital: Sustained Reductions in Transmission through Active Surveillance and Targeted Interventions

2012 ◽  
Vol 33 (10) ◽  
pp. 984-992 ◽  
Author(s):  
Amit S. Chitnis ◽  
Pam S. Caruthers ◽  
Agam K. Rao ◽  
JoAnne Lamb ◽  
Robert Lurvey ◽  
...  
Keyword(s):  
Acute Care ◽  
Genetic Relatedness ◽  
Acute Care Hospital ◽  
Public Health Approach ◽  
Care Hospital ◽  
Healthcare Facilities ◽  
Targeted Interventions ◽  
Carbapenem Resistant ◽  
Carbapenem Resistant Enterobacteriaceae

Objective.To describe a Klebsiella pneumoniae carbapenemase (KPC)–producing carbapenem-resistant Enterobacteriaceae (CRE) outbreak and interventions to prevent transmission.Design, Setting, and Patients.Epidemiologic investigation of a CRE outbreak among patients at a long-term acute care hospital (LTACH).Methods.Microbiology records at LTACH A from March 2009 through February 2011 were reviewed to identify CRE transmission cases and cases admitted with CRE. CRE bacteremia episodes were identified during March 2009–July 2011. Biweekly CRE prevalence surveys were conducted during July 2010–July 2011, and interventions to prevent transmission were implemented, including education and auditin? of staff and isolation and cohorting of CRE patients with dedicated nursing staff and shared medical equipment. Trends were evaluated using weighted linear or Poisson regression. CRE transmission cases were included in a case-control study to evaluate risk factors for acquisition. A real-time polymerase chain reaction assay was used to detect the blaKPC gene, and pulsed-field gel electrophoresis was performed to assess the genetic relatedness of isolates.Results.Ninety-nine CRE transmission cases, 16 admission cases (from 7 acute care hospitals), and 29 CRE bacteremia episodes were identified. Significant reductions were observed in CRE prevalence (49% vs 8%), percentage of patients screened with newly detected CRE (44% vs 0%), and CRE bacteremia episodes (2.5 vs 0.0 per 1,000 patient-days). Cases were more likely to have received β-lactams, have diabetes, and require mechanical ventilation. All tested isolates were KPC-producing K. pneumoniae, and nearly all isolates were genetically related.Conclusion.CRE transmission can be reduced in LTACHs through surveillance testing and targeted interventions. Sustainable reductions within and across healthcare facilities may require a regional public health approach.Infect Control Hosp Epidemiol 2012;33(10):984-992

scholarly journals Optimizing Sentinel Surveillance to Target Containment of Emerging Multidrug-Resistant Organisms in Regional Networks

2020 ◽  
Vol 41 (S1) ◽  
pp. s336-s337
Author(s):  
Prabasaj Paul ◽  
Rachel Slayton ◽  
Alexander Kallen ◽  
Maroya Walters ◽  
John Jernigan
Keyword(s):  
At Risk ◽  
Acute Care ◽  
Deterministic Model ◽  
Healthcare Facility ◽  
Multidrug Resistant ◽  
Sentinel Surveillance ◽  
Outbreak Detection ◽  
Care Hospital ◽  
Healthcare Facilities ◽  
Multidrug Resistant Organisms

Background: Successful containment of regional outbreaks of emerging multidrug-resistant organisms (MDROs) relies on early outbreak detection. However, deploying regional containment is resource intensive; understanding the distribution of different types of outbreaks might aid in further classifying types of responses. Objective: We used a stochastic model of disease transmission in a region where healthcare facilities are linked by patient sharing to explore optimal strategies for early outbreak detection. Methods: We simulated the introduction and spread of Candida auris in a region using a lumped-parameter stochastic adaptation of a previously described deterministic model (Clin Infect Dis 2019 Mar 28. doi:10.1093/cid/ciz248). Stochasticity was incorporated to capture early-stage behavior of outbreaks with greater accuracy than was possible with a deterministic model. The model includes the real patient sharing network among healthcare facilities in an exemplary US state, using hospital claims data and the minimum data set from the CMS for 2015. Disease progression rates for C. auris were estimated from surveillance data and the literature. Each simulated outbreak was initiated with an importation to a Dartmouth Atlas of Health Care hospital referral region. To estimate the potential burden, we quantified the “facility-time” period during which infectious patients presented a risk of subsequent transmission within each healthcare facility. Results: Of the 28,000 simulated outbreaks initiated with an importation to the community, 2,534 resulted in patients entering the healthcare facility network. Among those, 2,480 (98%) initiated a short outbreak that died out or quickly attenuated within 2 years without additional intervention. In the simulations, if containment responses were initiated for each of those short outbreaks, facility time at risk decreased by only 3%. If containment responses were initiated for the 54 (2%) outbreaks lasting 2 years or longer, facility time at risk decreased by 79%. Sentinel surveillance through point-prevalence surveys (PPSs) at the 23 skilled-nursing facilities caring for ventilated patients (vSNF) in the network detected 50 (93%) of the 54 longer outbreaks (median, 235 days to detection). Quarterly PPSs at the 23 largest acute-care hospitals (ie, most discharges) detected 48 longer outbreaks (89%), but the time to detection was longer (median, 716 days to detection). Quarterly PPSs also identified 76 short-term outbreaks (in comparison to only 14 via vSNF PPS) that self-terminated without intervention. Conclusions: A vSNF-based sentinel surveillance system likely provides better information for guiding regional intervention for the containment of emerging MDROs than a similarly sized acute-care hospital–based system.Funding: NoneDisclosures: None

Admission Surveillance for Carbapenamase-Producing Enterobacteriaceae at a Long-Term Acute Care Hospital

2013 ◽  
Vol 34 (8) ◽  
pp. 832-834 ◽  
Author(s):  
Jessica D. Lewis ◽  
Matthew Bishop ◽  
Brenda Heon ◽  
Amy J. Mathers ◽  
Kyle B. Enfield ◽  
...  
Keyword(s):  
United States ◽  
Prospective Study ◽  
Acute Care ◽  
Acute Care Hospital ◽  
Acute Care Hospitals ◽  
The United States ◽  
Routine Screening ◽  
Care Hospital ◽  
High Prevalence

Carbapenemase-producing Enterobacteriaceae (CPE) are of increasing prevalence worldwide, and long-term acute care hospitals (LTACHs) have been implicated in several outbreaks in the United States. This prospective study of routine screening for CPE on admission to a LTACH demonstrates a high prevalence of CPE colonization in central Virginia.

scholarly journals Impact of Diagnosed and Undiagnosed Respiratory Pseudomonas on VAP and VAE During Long-Term Acute Care

2020 ◽  
Vol 41 (S1) ◽  
pp. s258-s259
Author(s):  
James Harrigan ◽  
Ebbing Lautenbach ◽  
Emily Reesey ◽  
Magda Wernovsky ◽  
Pam Tolomeo ◽  
...  
Keyword(s):  
Bacterial Community ◽  
Acute Care ◽  
Statistical Significance ◽  
Rrna Gene ◽  
Care Hospital ◽  
16S Sequencing ◽  
Increased Risk ◽  
Wide Range ◽  
The Impact

Background: Clinically diagnosed ventilator-associated pneumonia (VAP) is common in the long-term acute-care hospital (LTACH) setting and may contribute to adverse ventilator-associated events (VAEs). Pseudomonas aeruginosa is a common causative organism of VAP. We evaluated the impact of respiratory P. aeruginosa colonization and bacterial community dominance, both diagnosed and undiagnosed, on subsequent P. aeruginosa VAP and VAE events during long-term acute care. Methods: We enrolled 83 patients on LTACH admission for ventilator weaning, performed longitudinal sampling of endotracheal aspirates followed by 16S rRNA gene sequencing (Illumina HiSeq), and bacterial community profiling (QIIME2). Statistical analysis was performed with R and Stan; mixed-effects models were fit to relate the abundance of respiratory Psa on admission to clinically diagnosed VAP and VAE events. Results: Of the 83 patients included, 12 were diagnosed with P. aeruginosa pneumonia during the 14 days prior to LTACH admission (known P. aeruginosa), and 22 additional patients received anti–P. aeruginosa antibiotics within 48 hours of admission (suspected P. aeruginosa); 49 patients had no known or suspected P. aeruginosa (unknown P. aeruginosa). Among the known P. aeruginosa group, all 12 patients had P. aeruginosa detectable by 16S sequencing, with elevated admission P. aeruginosa proportional abundance (median, 0.97; IQR, 0.33–1). Among the suspected P. aeruginosa group, all 22 patients had P. aeruginosa detectable by 16S sequencing, with a wide range of admission P. aeruginosa proportional abundance (median, 0.0088; IQR, 0.00012–0.31). Of the 49 patients in the unknown group, 47 also had detectable respiratory Psa, and many had high P. aeruginosa proportional abundance at admission (median, 0.014; IQR, 0.00025–0.52). Incident P. aeruginosa VAP was observed within 30 days in 4 of the known P. aeruginosa patients (33.3%), 5 of the suspected P. aeruginosa patients (22.7%), and 8 of the unknown P. aeruginosa patients (16.3%). VAE was observed within 30 days in 1 of the known P. aeruginosa patients (8.3%), 2 of the suspected P. aeruginosa patients (9.1%), and 1 of the unknown P. aeruginosa patients (2%). Admission P. aeruginosa abundance was positively associated with VAP and VAE risk in all groups, but the association only achieved statistical significance in the unknown group (type S error <0.002 for 30-day VAP and <0.011 for 30-day VAE). Conclusions: We identified a high prevalence of unrecognized respiratory P. aeruginosa colonization among patients admitted to LTACH for weaning from mechanical ventilation. The admission P. aeruginosa proportional abundance was strongly associated with increased risk of incident P. aeruginosa VAP among these patients.Funding: NoneDisclosures: None

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