Shuk-Ching Wong, Jonathan Hon-Kwan Chen, Pui-Hing Chau, Wai-On Tam, Germaine Kit-Ming Lam, Lithia Lai-Ha Yuen, Wan-Mui Chan, Allen Wing-Ho Chu, Jonathan Daniel Ip, Hoi-Wah Tsoi, Simon Yung-Chun So, Kelvin Hei-Yeung Chiu, Kwok-Yung Yuen, Kelvin Kai-Wang To, Vincent Chi-Chung Cheng
{"title":"Tracking SARS-CoV-2 RNA in the air: Lessons from a COVID-19 outbreak in an infirmary unit.","authors":"Shuk-Ching Wong, Jonathan Hon-Kwan Chen, Pui-Hing Chau, Wai-On Tam, Germaine Kit-Ming Lam, Lithia Lai-Ha Yuen, Wan-Mui Chan, Allen Wing-Ho Chu, Jonathan Daniel Ip, Hoi-Wah Tsoi, Simon Yung-Chun So, Kelvin Hei-Yeung Chiu, Kwok-Yung Yuen, Kelvin Kai-Wang To, Vincent Chi-Chung Cheng","doi":"10.1016/j.ajic.2024.10.035","DOIUrl":"10.1016/j.ajic.2024.10.035","url":null,"abstract":"<p><strong>Background: </strong>The duration and magnitude of SARS-CoV-2 air dispersal during nosocomial outbreaks remain uncertain. This study evaluates the impact of mobile modular high-efficiency particulate air filter units (MMHUs) on SARS-CoV-2 air dispersal.</p><p><strong>Methods: </strong>We investigated a nosocomial COVID-19 outbreak in an infirmary unit. The viral load (VL) of SARS-CoV-2 in air samples was correlated with the VL in nasopharyngeal swabs with or without MMHU. These samples underwent whole-genome sequencing and phylogenetic analysis.</p><p><strong>Results: </strong>Upon outbreak declaration (August 2, 2024, day 0), 44 (69.8%) of 63 patients acquired COVID-19 in Ward 2B (19 male) and 2C (25 female) by day 4. The VL of SARS-CoV-2 remained detectable in air until day 11 (2B) and day 20 (2C). The VL of air samples was significantly correlated with the VL in nasopharyngeal swabs collected on days 5, 7, 10, and 13 in 2C (r = -0.975, P = .004). Using MMHU, the mean daily ratio of SARS-CoV-2 RNA (copies/1,000 L of air/patient) in 2B was 5 times lower than in 2C from days 5 to 10. Whole-genome sequencing revealed all 41 tested strains belonged to the Omicron variant, KP.3.1.1, phylogenetically related to the prevailing community strains.</p><p><strong>Conclusions: </strong>Using MMHU mitigates the duration and magnitude of SARS-CoV-2 air dispersal during nosocomial outbreak.</p>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Prevention of possible vancomycin-resistant Enterococcus outbreak caused by infants transferred due to earthquake trauma.","authors":"Esma Eryilmaz Eren, Hüsniye Şimşek, Esma Saatçi, Ahmet Özdemir, Gülden Şengül, İlhami Çelik","doi":"10.1016/j.ajic.2024.11.001","DOIUrl":"10.1016/j.ajic.2024.11.001","url":null,"abstract":"<p><p>Infection control measures may be disrupted by inter- or intra-hospital transfers after major disasters. We report the possible outbreak and prevention of vancomycin-resistant Enterococcus spp. (VRE) strains carried by infants transferred to our neonatal intensive care unit from another unit after the earthquake. Screening cultures (rectal swabs) were obtained from infants during hospitalisation and contact isolation was performed. We analysed the clonal analysis of VRE strains isolated from patients by pulse field gel electrophoresis.</p>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kathy Dempsey, Susan Jain, Patricia Bradd, Kate Clezy, David Greenfield
{"title":"Infection Prevention and Control Response and Escalation Framework: Evaluation and application beyond a pandemic.","authors":"Kathy Dempsey, Susan Jain, Patricia Bradd, Kate Clezy, David Greenfield","doi":"10.1016/j.ajic.2024.10.036","DOIUrl":"10.1016/j.ajic.2024.10.036","url":null,"abstract":"<p><strong>Background: </strong>The COVID-19 pandemic resulted in constant changes to Infection Prevention and Control (IPAC) recommendations, impacting clinician capacity to stay up to date. The COVID-19 IPAC Response and Escalation Framework (IPAC Framework), rarely reported or evaluated was developed to provide scalable IPAC guidance during the pandemic to health care in New South Wales (NSW), Australia.</p><p><strong>Methods: </strong>Using a thematic analysis approach, a qualitative study using an online, cross-sectional survey comprising 27 questions was sent to 248 key stakeholders. Participants were health workers with broad clinical and system representation with responsibilities for risk assessment, communicating, implementing, or monitoring the IPAC Framework.</p><p><strong>Results: </strong>The IPAC Framework provided a useful IPAC tool for the management of COVID-19 as perceived by 93% of respondents. The overwhelming majority (91%) reported the Framework provided enough information on IPAC strategies needed for COVID-19 that were aligned with transmission risk. Resources supporting the IPAC Framework were reported by most respondents (84%) as being widely accepted as the authoritative guidance.</p><p><strong>Conclusions: </strong>An IPAC Framework is perceived as invaluable by clinicians and administrators to manage IPAC requirements in health care during a pandemic. The IPAC Framework can be applied more generally to support ongoing IPAC requirements.</p>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rebecca Choudhury, Jordan Ehni, Waleed Javaid, Mateen Jangda, Itay Rabinovitz, Nikita Ekhelikar, Bernard C Camins
{"title":"The epidemiology of midline-associated bloodstream infections in an urban health care system.","authors":"Rebecca Choudhury, Jordan Ehni, Waleed Javaid, Mateen Jangda, Itay Rabinovitz, Nikita Ekhelikar, Bernard C Camins","doi":"10.1016/j.ajic.2024.10.037","DOIUrl":"10.1016/j.ajic.2024.10.037","url":null,"abstract":"<p><p>This study sought to determine the incidence and characteristics of midline-associated bloodstream infections (MABSI) at an urban health system during the COVID-19 pandemic. A MABSI rate similar to the central line-associated bloodstream infection rate was found. A large number of MABSI were caused by Staphylococcus spp and Enterococcus spp, as has previously been reported for central line-associated bloodstream infection. Patients with MABSI had high in-hospital mortality rates.</p>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stephanie Morgenstern, Katie Thompson, Stephanie Panton, Vivian Donnelly, Sara Pau, Kat Nelson, Lauren Booth, Taylor McIlquham, Jessica Kitlas, Christina Schumacher, Aaron M Milstone, Meghan Bernier, Anna C Sick-Samuels
{"title":"Identifying high-risk central lines in critically ill children: A novel nurse-driven screening and mitigation intervention to reduce CLABSI.","authors":"Stephanie Morgenstern, Katie Thompson, Stephanie Panton, Vivian Donnelly, Sara Pau, Kat Nelson, Lauren Booth, Taylor McIlquham, Jessica Kitlas, Christina Schumacher, Aaron M Milstone, Meghan Bernier, Anna C Sick-Samuels","doi":"10.1016/j.ajic.2024.10.029","DOIUrl":"10.1016/j.ajic.2024.10.029","url":null,"abstract":"<p><strong>Background: </strong>Despite strong adherence to central line-associated bloodstream infection (CLABSI) infection prevention bundles, the CLABSI rate in our academic pediatric intensive care unit (PICU) and pediatric cardiac intensive unit (PCICU) remained high.</p><p><strong>Methods: </strong>We developed a novel screening tool that stratified patients' risk for CLABSI and considered risk mitigation strategies.</p><p><strong>Results: </strong>Of 1,583 screenings, 30% were classified as high-risk, 27% as moderate-risk, and 43% as low-risk. With accurate screening, the tool was 100% sensitive to patients who developed CLABSI, with a negative predictive value of 100% for low-risk screens. The CLABSI rate declined from 1.83 per 1,000 catheter-days to 0.98 and 1.02 in 2021 and 2022, respectively, with unprecedented consecutive months CLABSI-free. Device utilization was stable across both units, declining by 19% in the PICU and rising in the PCICU with increased cardiac surgeries. Clinicians expressed increased awareness of patient CLABSI risk factors and mitigation strategies in surveys.</p><p><strong>Discussion: </strong>This novel screening tool effectively identified high-risk patients to target resources and promoted improvements in CLABSI prevention processes in the PICU and PCICU.</p><p><strong>Conclusions: </strong>A novel nurse-driven CLABSI risk factor screening tool identified and focused resources on patients at high-risk for CLABSI, and increased awareness and proactive risk mitigation by clinicians.</p>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142589850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ann Gaffney, Edmond G Smyth, Zena Moore, Declan Patton, Tom O' Connor, Rosemarie Derwin
{"title":"Role of admission rapid antigen testing (RATs) for COVID-19 on patients transferred from acute hospitals to a postacute rehabilitation setting.","authors":"Ann Gaffney, Edmond G Smyth, Zena Moore, Declan Patton, Tom O' Connor, Rosemarie Derwin","doi":"10.1016/j.ajic.2024.10.031","DOIUrl":"10.1016/j.ajic.2024.10.031","url":null,"abstract":"<p><strong>Background: </strong>Rapid antigen tests (RATs) are suitable for point-of-care testing, require no laboratory time, and give immediate results. However, are RATs useful for detecting asymptomatic COVID-19 infection when compared with polymerase chain reaction (PCR) testing in health care settings?</p><p><strong>Methods: </strong>RAT testing was carried out on all new admissions without a history of confirmed COVID-19 infection within 3 months of admission. PCR testing was carried out on all patients with a positive RAT for confirmation purposes. The cycle threshold values of COVID-19-detected results on PCR testing were examined to determine the utility of the RATs.</p><p><strong>Results: </strong>A total of 1,403 patients were transferred to the postacute rehabilitation unit from January to December 2023. The results of the study revealed an 85% accuracy of RATs with a 15% rate of false-negative results at the time of admission. All patients who had a positive RAT at the time of admission also had a positive PCR test.</p><p><strong>Conclusions: </strong>This testing algorithm resulted in early detection and prompt isolation of positive cases reducing the likely spread of COVID-19 infection, hospital outbreaks, and bed/ward closures.</p>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142567628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lacey Kovar, Courtney McPherson, Jennifer Ware, Lacye Hurst, Chris Gould, Amanda Martinez, Prakash Shrestha, John E Sparks
{"title":"Interventions implemented to remediate mold identified in Neonatal Intensive Care Unit (NICU) incubators, 2022 to 2023.","authors":"Lacey Kovar, Courtney McPherson, Jennifer Ware, Lacye Hurst, Chris Gould, Amanda Martinez, Prakash Shrestha, John E Sparks","doi":"10.1016/j.ajic.2024.10.032","DOIUrl":"10.1016/j.ajic.2024.10.032","url":null,"abstract":"<p><strong>Background: </strong>Neonatal Intensive Care Units utilize incubators to sustain core temperatures associated with transepidermal water loss. High relative humidity in incubators provides an environment for fungi to grow. In August 2022, mold was identified growing in 11 (85%) Neonatal Intensive Care Unit incubators.</p><p><strong>Methods: </strong>A team assembled to address mold in incubators. The environment was addressed as a possible source of contamination by consulting an environmental specialist. The air handler, ducts, and environment were terminally cleaned. Specimens were collected from the contaminated incubators and the manufacturer reviewed cleaning practices. Experimental trials were conducted using the incubators to replicate mold growth after interventions.</p><p><strong>Results: </strong>The environmental consultant approved when the space could be reoccupied. Incubators introduced to the clean environment did not grow mold. Various fungi or yeast were identified in the contaminated incubators. Opportunities to improve cleaning and replacement of parts were identified by the manufacturer. September 2022 to February 2023, 7 experimental trials were completed after cleaning the incubators. Four (36%) of the 11 contaminated incubators were placed back in use due to no fungal growth. No patient illnesses occurred.</p><p><strong>Conclusions: </strong>The interventions implemented stopped ongoing contamination of incubators and use of previously contaminated incubators.</p>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142563760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Herdiantri Sufriyana, Chieh Chen, Hua-Sheng Chiu, Pavel Sumazin, Po-Yu Yang, Jiunn-Horng Kang, Emily Chia-Yu Su
{"title":"Estimating individual risk of catheter-associated urinary tract infections using explainable artificial intelligence on clinical data.","authors":"Herdiantri Sufriyana, Chieh Chen, Hua-Sheng Chiu, Pavel Sumazin, Po-Yu Yang, Jiunn-Horng Kang, Emily Chia-Yu Su","doi":"10.1016/j.ajic.2024.10.027","DOIUrl":"10.1016/j.ajic.2024.10.027","url":null,"abstract":"<p><strong>Background: </strong>Catheter-associated urinary tract infections (CAUTIs) increase clinical burdens. Identifying the high-risk patients is crucial. We aimed to develop and externally validate an explainable, prognostic prediction model of CAUTIs among hospitalized individuals receiving urinary catheterization.</p><p><strong>Methods: </strong>A retrospective cohort paradigm was applied for model development and validation using data from 2 hospitals and used the third hospital's data for external validation. Machine learning algorithms were applied for predictive modeling. We evaluated the calibration, clinical utility, and discrimination ability to choose the best model by the validation set. The best model was assessed for the explainability.</p><p><strong>Results: </strong>We included 122,417 instances from 20-to-75-year-old subjects. Fourteen predictors were selected from 20 candidates. The best model was the random forest for prediction within 6days. It detected 97.63% (95% confidence interval [CI]: ± 0.06%) CAUTI positive, and 97.36% (95% CI: ± 0.07%) of individuals that were predicted to be CAUTI negative were true negatives. Among those predicted to be CAUTI positives, we expected 22.85% (95% CI: ± 0.07%) of them to truly be high-risk individuals. We provide a web-based application and a paper-based nomogram for using this model.</p><p><strong>Conclusions: </strong>Our prediction model accurately detected most CAUTI-positive cases, while most predicted negative individuals were correctly ruled out.</p>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142556933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}