scholarly journals Timing and Route of Contamination of Patient Rooms With Healthcare-Associated Pathogens

2020 ◽  
Vol 41 (S1) ◽  
pp. s412-s412
Author(s):  
Sarah Redmond ◽  
Jennifer Cadnum ◽  
Basya Pearlmutter ◽  
Natalia Pinto Herrera ◽  
Curtis Donskey

Background: Transmission of healthcare-associated pathogens such as Clostridioides difficile and methicillin-resistant Staphylococcus aureus (MRSA) is a persistent problem in healthcare facilities despite current control measures. A better understanding of the routes of pathogen transmission is needed to develop effective control measures. Methods: We conducted an observational cohort study in an acute-care hospital to identify the timing and route of transfer of pathogens to rooms of newly admitted patients with negative MRSA nares results and no known carriage of other healthcare-associated pathogens. Rooms were thoroughly cleaned and disinfected prior to patient admission. Interactions of patients with personnel and portable equipment were observed, and serial cultures for pathogens were collected from the skin of patients and from surfaces, including those observed to come in contact with personnel and equipment. For MRSA, spa typing was used to determine relatedness of patient and environmental isolates. Results: For the 17 patients enrolled, 1 or more environmental cultures became positive for MRSA in rooms of 10 patients (59%), for C. difficile in rooms of 2 patients (12%) and for vancomycin-resistant enterococci (VRE) in rooms of 2 patients (12%). The patients interacted with an average of 2.4 personnel and 0.6 portable devices per hour of observation. As shown in Figure 1, MRSA contamination of the floor occurred rapidly as personnel entered the room. In a subset of patients, MRSA was subsequently recovered from patients’ socks and bedding and ultimately from the high-touch surfaces in the room (tray table, call button, bedrail). For several patients, MRSA isolates recovered from the floor had the same spa type as isolates subsequently recovered from other sites (eg, socks, bedding, and/or high touch surfaces). The direct transfer of healthcare-associated pathogens from personnel or equipment to high-touch surfaces was not detected. Conclusions: Healthcare-associated pathogens rapidly accumulate on the floor of patient rooms and can be transferred to the socks and bedding of patients and to high-touch surfaces. Healthcare facility floors may be an underappreciated source of pathogen dissemination not addressed by current infection control measures.Funding: NoneDisclosures: None

2001 ◽  
Vol 22 (1) ◽  
pp. 13-18 ◽  
Author(s):  
Olugbenga O. Obasanjo ◽  
Peggy Wu ◽  
Martha Conlon ◽  
Lynne V. Karanfil ◽  
Patty Pryor ◽  
...  

AbstractObjective:To investigate an outbreak of scabies in an inner-city teaching hospital, identify pathways of transmission, institute effective control measures to end the outbreak, and prevent future occurrences.Design:Outbreak investigation, case-control study, and chart review.Setting:Large tertiary acute-care hospital.Results:A patient with unrecognized Norwegian (crusted) scabies was admitted to the acquired immunodeficiency syndrome (AIDS) service of a 940-bed acute-care hospital. Over 4 months, 773 healthcare workers (HCWs) and 204 patients were exposed to scabies. Of the exposed HCWs, 147 (19%) worked on the AIDS service. Risk factors for being infested with scabies among HCWs included working on the AIDS service (odds ratio [OR], 5.3; 95% confidence interval [CI95], 2.17-13.15) and being a nurse, physical therapist, or HCW with extensive physical contact with infected patients (OR, 4.5; CI95, 1.26-17.45). Aggressive infection control precautions beyond Centers for Disease Control and Prevention barrier and isolation recommendations were instituted, including the following: (1) early identification of infected patients; (2) prophylactic treatment with topical applications for all exposed HCWs; (3) use of two treatments 1 week apart for all cases of Norwegian scabies; (4) maintaining isolation for 8 days and barrier precautions for 24 hours after completing second treatment for a diagnosis of Norwegian scabies; and (5) oral ivermectin for treatment of patients who failed conventional therapy.Conclusions:HCWs with the most patient contact are at highest risk of acquiring scabies. Because HCWs who used traditionally accepted barriers while caring for patients with Norwegian scabies continued to develop scabies, we found additional measures were required in the acute-care hospital. HCWs with skin exposure to patients with scabies should receive prophylactic treatment. We recommend (1) using heightened barrier precautions for care of patients with scabies and (2) extending the isolation period for 8 days or 24 hours after the second treatment with a scabicide for those patients with Norwegian scabies. Oral ivermectin was well tolerated for treating patients and HCWs who failed conventional treatment. Finally, we developed a surveillance system that provides a “barometric measure” of the infection rate in the community. If scabies increases in the community, a tiered triage system is activated to protect against transmission among HCWs or hospital patients.


2020 ◽  
Vol 41 (S1) ◽  
pp. s458-s459
Author(s):  
Ishrat Kamal-Ahmed ◽  
Kate Tyner ◽  
Teresa Fitzgerald ◽  
Heather Adele Moulton-Meissner ◽  
Gillian McAllister ◽  
...  

Background: In April 2019, Nebraska Public Health Laboratory identified an NDM-producing Enterobacter cloacae from a urine sample from a rehabilitation inpatient who had recently received care in a specialized unit (unit A) of an acute-care hospital (ACH-A). After additional infections occurred at ACH-A, we conducted a public health investigation to contain spread. Methods: A case was defined as isolation of NDM-producing carbapenem-resistant Enterobacteriaceae (CRE) from a patient with history of admission to ACH-A in 2019. We conducted clinical culture surveillance, and we offered colonization screening for carbapenemase-producing organisms to all patients admitted to unit A since February 2019. We assessed healthcare facility infection control practices in ACH-A and epidemiologically linked facilities by visits from the ICAP (Infection Control Assessment and Promotion) Program. The recent medical histories of case patients were reviewed. Isolates were evaluated by whole-genome sequencing (WGS). Results: Through June 2019, 7 cases were identified from 6 case patients: 4 from clinical cultures and 3 from 258 colonization screens including 1 prior unit A patient detected as an outpatient (Fig. 1). Organisms isolated were Klebsiella pneumoniae (n = 5), E. cloacae (n = 1), and Citrobacter freundii (n = 1); 1 patient had both NDM-producing K. pneumoniae and C. freundii. Also, 5 case patients had overlapping stays in unit A during February–May 2019 (Fig. 2); common exposures in unit A included rooms in close proximity, inhabiting the same room at different times and shared caregivers. One case-patient was not admitted to unit A but shared caregivers, equipment, and devices (including a colonoscope) with other case patients while admitted to other ACH-A units. No case patients reported travel outside the United States. Screening at epidemiologically linked facilities and clinical culture surveillance showed no evidence of transmission beyond ACH-A. Infection control assessments at ACH-A revealed deficiencies in hand hygiene, contact precautions adherence, and incomplete cleaning of shared equipment within and used to transport to/from a treatment room in unit A. Following implementation of recommended infection control interventions, no further cases were identified. Finally, 5 K. pneumoniae of ST-273 were related by WGS including carriage of NDM-5 and IncX3 plasmid supporting transmission of this strain. Further analysis is required to relate IncX3 plasmid carriage and potential transmission to other organisms and sequence types identified in this study. Conclusions: We identified a multiorganism outbreak of NDM-5–producing CRE in an ACH specialty care unit. Transmission was controlled through improved infection control practices and extensive colonization screening to identify asymptomatic case-patients. Multiple species with NDM-5 were identified, highlighting the potential role of genotype-based surveillance.Funding: NoneDisclosures: Muhammad Salman Ashraf reports that he is the principal investigator for a study funded by an investigator-initiated research grant.


2018 ◽  
Vol 5 (suppl_1) ◽  
pp. S14-S14
Author(s):  
Faye Rozwadowski ◽  
Jarred McAteer ◽  
Nancy A Chow ◽  
Kimberly Skrobarcek ◽  
Kaitlin Forsberg ◽  
...  

Abstract Background Candida auris can be transmitted in healthcare settings, and patients can become asymptomatically colonized, increasing risk for invasive infection and transmission. We investigated an ongoing C. auris outbreak at a 30-bed long-term acute care hospital to identify colonization for C. auris prevalence and risk factors. Methods During February–June 2017, we conducted point prevalence surveys every 2 weeks among admitted patients. We abstracted clinical information from medical records and collected axillary and groin swabs. Swabs were tested for C. auris. Data were analyzed to identify risk factors for colonization with C. auris by evaluating differences between colonized and noncolonized patients. Results All 101 hospitalized patients were surveyed, and 33 (33%) were colonized with C. auris. Prevalence of colonization ranged from 8% to 38%; incidence ranged from 5% to 20% (figure). Among colonized patients with available data, 19/27 (70%) had a tracheostomy, 20/31 (65%) had gastrostomy tubes, 24/33 (73%) ventilator use, and 12/27 (44%) had hemodialysis. Also, 31/33 (94%) had antibiotics and 13/33 (34%) antifungals during hospitalization. BMI for colonized patients (mean = 30.3, standard deviation (SD) = 10) was higher than for noncolonized patients (mean = 26.5, SD = 7.9); t = −2.1; P = 0.04). Odds of colonization were higher among Black patients (33%) vs. White patients (16%) (odds ratio [OR] 3.5; 95% confidence interval [CI] 1.3–9.8), and those colonized with other multidrug-resistant organism (MDRO) (72%) vs. noncolonized (44%) (OR 3.2; CI 1.3–8.0). Odds of death were higher among colonized patients (OR 4.6; CI 1.6—13.6). Conclusion Patients in long-term acute care facilities and having high prevalences of MDROs might be at risk for C. auris. Such patients with these risk factors could be targeted for enhanced surveillance to facilitate early detection of C. auris. Infection control measures to reduce MDROs’ spread, including hand hygiene, contact precautions, and judicious use of antimicrobials, could prevent further C. auris transmission. Acknowledgements The authors thank Janet Glowicz and Kathleen Ross. Disclosures All authors: No reported disclosures.


2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
A Gentili ◽  
D I La Milia ◽  
D Vallone ◽  
M Di Pumpo ◽  
G Vangi ◽  
...  

Abstract Healthcare-Associated Infections (HAIs) are among the most serious public health problems in Europe representing the most frequent adverse event during care delivery. Despite their limitations, point prevalence surveys of HAIs are often preferred to prospective surveillance, since they provide a feasible estimate when resources are limited. The aim of this study was to analyze the results of a six-years point prevalence survey of HAIs in a teaching acute care hospital in Italy and to investigate the main risk factors of HAIs in the acute-care hospital. A point prevalence survey to detect HAIs was carried out in Gemelli Hospital during the last 6 years, from 2013 to 2018. Inpatients of any age in Gemelli Hospital were eligible for inclusion. Patients in outpatient areas were excluded. HAIs were identified according to diagnosis guideline from ECDC in 2011. Statistically significant differences were tested through t-test and Chi-square test. Multi-variate analysis was performed to evaluate the impact of regressor factors for predict HAI’s prevalence. The statistical significance level was set at p < 0.05. The point prevalence ranged from 3,16% in 2017 to 6,64% in 2013. Pneumonia and surgical site infections (SSI) were the most frequent HAIs during the 6 years, with a rate of 27,31% and 26,20% respectively of all HAIs. The multiple logistic regression showed that length of stay at the moment of detection, urinary catheter, CVC and antibiotic therapy are useful to meaningfully predict HAI prevalence, with a regression coefficient (adjusted R2) of 0.2780. Thanks to proper hospital policies, the point prevalence of HAIs does not seem to increase through the years, even though it is still too early to draw any conclusions. Pneumonia and SSI represented each one more than a quarter of all the HAIs, as reported also in literature. There is a strong association between length of stay at the moment of detection and HAIs but it is hard to understand which one is the cause of the other. Key messages Point prevalence from 2013 to 2018 seems to be stable. An accurate incidence survey is needed in order to identify the main risk factors of HAI and to realize more specific hospital programmes. Length of stay at the moment of detection is useful to meaningfully predict HAIs prevalence although the cause-and-effect relationship is still not clear.


2019 ◽  
Vol 69 (10) ◽  
pp. 1801-1804 ◽  
Author(s):  
Melany Gonzalez-Orta ◽  
Carlos Saldana ◽  
Yilen Ng-Wong ◽  
Jennifer Cadnum ◽  
Annette Jencson ◽  
...  

Abstract In a cohort of 480 patients admitted to an acute care hospital, 68 (14%) had positive perirectal cultures for toxigenic Clostridioides difficile on admission. Of the 11 patients (2%) diagnosed with healthcare-associated C. difficile infections, 3 (27%) had genetically related admission and infection isolates, based on whole-genome sequencing.


2018 ◽  
Vol 5 (suppl_1) ◽  
pp. S385-S385
Author(s):  
Colleen M Clay ◽  
Leonardo Girio-Herrera ◽  
Faheem Younus

Abstract Background Behavioral health units (BHU) have been implicated in influenza outbreaks due to group activities, low availability of alcohol-based hand gels and unique host factors. We describe the management of an unusual influenza outbreak, which started in the BHU and then spilled over to the acute care hospital (ACH). Methods University of Maryland Harford Memorial Hospital is a 95-bed ACH with a 14-bed closed-door adult BHU located on the fifth floor. Two cases each of hospital-acquired influenza were identified in our BHU during 2016 and 2017. In January 2018, however, hospital-acquired influenza cases in the BHU spilled over to the adjacent ACH to cause an outbreak. A case was defined as a patient with fever of >100.4°F, presence of influenza-like illness, and a positive influenza test >72 hours after admission. Outbreak control measures included twice daily fever screening, enhanced droplet precautions, visitor restrictions, discontinuing community activities, enforcing hand hygiene at all hospital entrances, and hospital-wide chemoprophylaxis with oseltamivir. Results On January 15, 2018, the index patient developed influenza in the BHU followed by a second case in BHU 4-days later. Over the next 10 days, five more patients on the third and fourth floors of ACH tested positive. Attack rate was 3% and average length of stay was 8.9 days. Chemoprophylaxis with oseltamivir 75 mg orally once a day was given to 71% of all eligible hospitalized patients for a week (at a cost of $17,000). All seven patients yielded influenza A, subtype H3N2 and were successfully treated with oseltamivir 75 mg orally twice a day for 7 days. The outbreak lasted 11 days. Figure 1 shows the epidemiologic curve. Conclusion Special attention should be paid to influenza prevention in the BHUs due to the risk of spillover effect to sicker patients in the adjacent ACH. A short, 7-day course of hospital-wide oseltamivir chemoprophylaxis, in addition to promptly implementing the infection prevention measures was effective in controlling the outbreak. Disclosures All authors: No reported disclosures.


2021 ◽  
Vol 1 (S1) ◽  
pp. s56-s57
Author(s):  
Supriya Narasimhan ◽  
Vidya Mony ◽  
Tracey Stoll ◽  
Sherilyn Oribello ◽  
Karanas Yvonne ◽  
...  

Background: We describe the infection prevention investigation of a cluster of 15 healthcare workers (HCWs) and 7 patients in a single non–COVID-19 unit of an acute-care hospital in September 2020. Methods: The infection prevention team was notified of 13 SARS-CoV-2–positive, symptomatic HCWs in an acute-care non–COVID-19 unit in 1 week (August 30, 2020, to September 3, 2020). In the same week, 2 patients who had been on the unit were diagnosed with nosocomial COVID-19. An epidemiologic investigation identified the exposure period to be between August 19, 2020, and September 3, 2020. The following immediate containment measures were implemented: closing the unit to new admissions, restricting float staff, moving existing patients to private rooms, mandatory masking of patients, and mandatory respirator and eye protection on unit entry for all HCWs. Exposed unit staff were tested immediately and then every 4 days until September 18, 2020. Likewise, exposed patients, including those discharged, were notified and offered testing. Hospital-wide HCW surveillance testing was conducted. Enhanced environmental control measures were conducted, including terminal cleaning and ultraviolet C (UV-C) disinfection of common areas and patient rooms and a thorough investigation of airflow. Detailed staff interviews were performed to identify causes of transmission. Multiple town hall meetings were held for staff education and updates. Results: In total, 108 total patients were deemed exposed: 33 were inpatients and 75 had been discharged. Testing identified 5 additional patient cases among 57 patients who received testing; 51 chose to self-monitor for symptoms. Staff testing identified 2 additional cases. Thus, 15 HCWs and 7 patients were linked in this cluster. The containment measures successfully ended staff transmission as of September 5, 2020. The last patient case was detected on September 10, 2020. Secondary cases were noted in 6 HCW families. We identified staff presenteeism, complacency, and socialization in break rooms and outside work as major causes of transmission. Suboptimal compliance with universal eye protection and hand hygiene (67%) were contributing factors. We determined by contact tracing and temporality that the outbreak could have stemmed from nursing home patient(s) through floating HCWs to staff on the affected unit. Directionality of transmission was from staff to patients in this cluster. Conclusions: Many facets of pandemic fatigue were apparent in this outbreak, namely, inability of HCWs to adhere to changing PPE guidance, presenteeism pressures due to workforce needs, and socialization with peers due to a false sense of security conferred by biweekly surveillance testing. Ongoing PPE education, repeated reinforcement, as well as engagement in staff wellness are crucial to combatting pandemic fatigue, conserving our workforce, and preventing future outbreaks.Funding: NoDisclosures: None


Author(s):  
J. J. E. Rovers ◽  
L. S. van de Linde ◽  
N. Kenters ◽  
E. M. Bisseling ◽  
D. F. Nieuwenhuijse ◽  
...  

Abstract Objective Coronavirus disease (COVID-19) was officially declared a pandemic in March 2020. Many cases of COVID-19 are nosocomial, but to the best of our knowledge, no nosocomial outbreaks on psychiatric departments of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been reported in Europe. The different nature of psychiatry makes outbreak management more difficult. This study determines which psychiatry specific factors contributed to a nosocomial outbreak taking place in a psychiatric department. This will provide possible interventions in future outbreak management. Method A case series describing a nosocomial outbreak in a psychiatric department of an acute care hospital in the Netherlands between March 13, 2020 and April, 14 2020. The outbreak was analyzed by combining data from standardized interviews, polymerase chain reaction (PCR) tests and whole genome sequencing (WGS). Results The nosocomial outbreak in which 43% of staff of the psychiatric department and 19% of admitted patients were involved, was caused by healthcare worker (HCW)-to-HCW transmissions, as well as patient-to-HCW-to-patient transmission. We identified four aspects associated with the mental health care system which might have made our department more susceptible to an outbreak. Conclusions Infection control measures designed for hospitals are not directly applicable to psychiatric departments. Psychiatric patients should be considered a high-risk group for infectious diseases and customized measures should be designed and implemented. Extra attention for psychiatric departments is necessary during a pandemic as psychiatric HCWs are less familiar with outbreak management. Clear communication and governance is crucial in correctly implementing these measures.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Rieko Oishi ◽  
Kiwamu Nakamura ◽  
Yoko Yahagi ◽  
Kazutaka Ohashi ◽  
Yukiko Takano ◽  
...  

Abstract Background Some institutions reuse cuff syringes and do not periodically sterilize cuff pressure gauges. Pathogenic bacterial contamination of such equipment may increase the probability of pathogen transmission to patients during anesthetic procedures. Therefore, microbial contamination on cuff syringes, cuff pressure gauges, and their surroundings was assessed in the operating rooms of a university-affiliated tertiary care hospital in Japan. Methods This study was conducted between April and May 2019 in 14 operating suites at a hospital. The following sites in each operating suite were sampled: cuff syringe (inner/outer components), outer components of cuff pressure gauge, cuff syringe and cuff pressure gauge storage drawers, and computer mice. The swabs were directly streaked onto agar plates and incubated. Then, the bacterial species were identified using mass spectrometry. Results The highest bacterial isolation was observed in computer mice, followed by the outside of cuff pressure gauges and the drawers of cuff pressure gauges (92.9, 78.6, and 64.3%, respectively). Most of the identified bacteria belonged to the Bacillus species, with colonization rates of 85.7, 57.1, and 57.1% on computer mice, cuff pressure gauges, and cuff pressure gauge storage drawers, respectively. Coagulase-negative Staphylococcus was found in 35.7% of the specimens and was more prevalent on computer mice (71.4%), followed by on cuff pressure gauges (64.3%). Conclusion Anesthesiologists should be aware of the possible pathogen contamination risk from cuff syringes, cuff pressure gauges, or associated equipment and take appropriate infection control measures to minimize the risk of pathogenic transmission.


Parasitology ◽  
2003 ◽  
Vol 127 (S1) ◽  
pp. S143-S158 ◽  
Author(s):  
P. R. TORGERSON ◽  
D. D. HEATH

Cystic echinococcosis, caused by the larval stage of Echinococcus granulosus, is a global public health problem. Whilst in a few localities, such as New Zealand, the parasite has been effectively controlled or even eradicated, in most endemic regions it remains a persistent problem. In some areas, such as the former Soviet Union, the disease incidence in humans has increased rapidly in recent years. It is important to have an understanding of the transmission dynamics, both between dogs and domestic livestock where the parasite maintains itself and from dogs to people. It is from this knowledge that effective control measures can be devised to reduce the prevalence of the parasite in animals and hence reduce the incidence of human disease. Mathematical models to describe the transmission of the parasite and the effects of different control strategies were first proposed over twenty years ago. Since then further information has been acquired, new technology has been developed and better computing technology has become available. In this review, we summarise these developments and put together a theoretical framework on the interpretation of surveillance information, how this affects transmission and how this information can be exploited to develop new intervention strategies for the control of the parasite. In particular, the parasite remains a persistent or re-emerging problem in countries of low economic output where resources for an intensive control programme, that has been successful in rich countries, are not available. By understanding of the transmission biology, including mathematical modelling, alternative and cost-effective means of control can be developed.


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