Ashley H. Marx, Diana N. Nowicki, Rebecca B. Carlson, Katherine M. Schultz, Emily Sickbert-Bennett, David J. Weber
Intravesical Bacillus Calmette-Guérin (BCG) is a standard therapy for non–muscle-invasive bladder cancer used in urology clinics and inpatient settings. We present a review of infection risks to patients receiving intravesical BCG, healthcare personnel who prepare and administer BCG, and other patients treated in facilities where BCG is prepared and administered. Knowledge of these risks and relevant regulations informs appropriate infection prevention measures.
{"title":"Bacille Calmette-Guérin preparation and intravesical administration to patients with bladder cancer: Risks to healthcare personnel and patients, and mitigation strategies","authors":"Ashley H. Marx, Diana N. Nowicki, Rebecca B. Carlson, Katherine M. Schultz, Emily Sickbert-Bennett, David J. Weber","doi":"10.1017/ice.2023.259","DOIUrl":"https://doi.org/10.1017/ice.2023.259","url":null,"abstract":"<p>Intravesical Bacillus Calmette-Guérin (BCG) is a standard therapy for non–muscle-invasive bladder cancer used in urology clinics and inpatient settings. We present a review of infection risks to patients receiving intravesical BCG, healthcare personnel who prepare and administer BCG, and other patients treated in facilities where BCG is prepared and administered. Knowledge of these risks and relevant regulations informs appropriate infection prevention measures.</p>","PeriodicalId":13558,"journal":{"name":"Infection Control & Hospital Epidemiology","volume":"95 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138568149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jessica L. Seidelman, Rebekah Moehring, Erin Gettler, Jay Krishnan, Lynn McGugan, Rachel Jordan, Margaret Murphy, Heather Pena, Christopher R. Polage, Diana Alame, Sarah Lewis, Becky Smith, Deverick Anderson, Nitin Mehdiratta
Objective:
We compared the number of blood-culture events before and after the introduction of a blood-culture algorithm and provider feedback. Secondary objectives were the comparison of blood-culture positivity and negative safety signals before and after the intervention.
Design:
Prospective cohort design.
Setting:
Two surgical intensive care units (ICUs): general and trauma surgery and cardiothoracic surgery
Patients:
Patients aged ≥18 years and admitted to the ICU at the time of the blood-culture event.
Methods:
We used an interrupted time series to compare rates of blood-culture events (ie, blood-culture events per 1,000 patient days) before and after the algorithm implementation with weekly provider feedback.
Results:
The blood-culture event rate decreased from 100 to 55 blood-culture events per 1,000 patient days in the general surgery and trauma ICU (72% reduction; incidence rate ratio [IRR], 0.38; 95% confidence interval [CI], 0.32–0.46; P < .01) and from 102 to 77 blood-culture events per 1,000 patient days in the cardiothoracic surgery ICU (55% reduction; IRR, 0.45; 95% CI, 0.39–0.52; P < .01). We did not observe any differences in average monthly antibiotic days of therapy, mortality, or readmissions between the pre- and postintervention periods.
Conclusions:
We implemented a blood-culture algorithm with data feedback in 2 surgical ICUs, and we observed significant decreases in the rates of blood-culture events without an increase in negative safety signals, including ICU length of stay, mortality, antibiotic use, or readmissions.
{"title":"Implementation of a diagnostic stewardship intervention to improve blood-culture utilization in 2 surgical ICUs: Time for a blood-culture change","authors":"Jessica L. Seidelman, Rebekah Moehring, Erin Gettler, Jay Krishnan, Lynn McGugan, Rachel Jordan, Margaret Murphy, Heather Pena, Christopher R. Polage, Diana Alame, Sarah Lewis, Becky Smith, Deverick Anderson, Nitin Mehdiratta","doi":"10.1017/ice.2023.249","DOIUrl":"https://doi.org/10.1017/ice.2023.249","url":null,"abstract":"<span>Objective:</span><p>We compared the number of blood-culture events before and after the introduction of a blood-culture algorithm and provider feedback. Secondary objectives were the comparison of blood-culture positivity and negative safety signals before and after the intervention.</p><span>Design:</span><p>Prospective cohort design.</p><span>Setting:</span><p>Two surgical intensive care units (ICUs): general and trauma surgery and cardiothoracic surgery</p><span>Patients:</span><p>Patients aged ≥18 years and admitted to the ICU at the time of the blood-culture event.</p><span>Methods:</span><p>We used an interrupted time series to compare rates of blood-culture events (ie, blood-culture events per 1,000 patient days) before and after the algorithm implementation with weekly provider feedback.</p><span>Results:</span><p>The blood-culture event rate decreased from 100 to 55 blood-culture events per 1,000 patient days in the general surgery and trauma ICU (72% reduction; incidence rate ratio [IRR], 0.38; 95% confidence interval [CI], 0.32–0.46; <span>P</span> < .01) and from 102 to 77 blood-culture events per 1,000 patient days in the cardiothoracic surgery ICU (55% reduction; IRR, 0.45; 95% CI, 0.39–0.52; <span>P</span> < .01). We did not observe any differences in average monthly antibiotic days of therapy, mortality, or readmissions between the pre- and postintervention periods.</p><span>Conclusions:</span><p>We implemented a blood-culture algorithm with data feedback in 2 surgical ICUs, and we observed significant decreases in the rates of blood-culture events without an increase in negative safety signals, including ICU length of stay, mortality, antibiotic use, or readmissions.</p>","PeriodicalId":13558,"journal":{"name":"Infection Control & Hospital Epidemiology","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138567855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jenine Leal, Ye Shen, Peter Faris, Bruce Dalton, Deana Sabuda, Wrechelle Ocampo, Lauren Bresee, Blanda Chow, Jared R. Fletcher, Elizabeth Henderson, Jaime Kaufman, Joseph Kim, Maitreyi Raman, Scott Kraft, Nicole C. Lamont, Oscar Larios, Bayan Missaghi, Jayna Holroyd-Leduc, Thomas Louie, John Conly
Objective:
To evaluate the impact of administering probiotics to prevent Clostridioides difficile infection (CDI) among patients receiving therapeutic antibiotics.
Design:
Stepped-wedge cluster-randomized trial between September 1, 2016, and August 31, 2019.
Setting:
This study was conducted in 4 acute-care hospitals across an integrated health region.
Patients:
Hospitalized patients, aged ≥55 years.
Methods:
Patients were given 2 probiotic capsules daily (Bio-K+, Laval, Quebec, Canada), containing 50 billion colony-forming units of Lactobacillus acidophilus CL1285, L. casei LBC80R, and L. rhamnosus CLR2. We measured hospital-acquired CDI (HA-CDI) and the number of positive C. difficile tests per 10,000 patient days as well as adherence to administration of Bio-K+ within 48 and 72 hours of antibiotic administration. Mixed-effects generalized linear models, adjusted for influenza admissions and facility characteristics, were used to evaluate the impact of the intervention on outcomes.
Results:
Overall adherence of Bio-K+ administration ranged from 76.9% to 84.6% when stratified by facility and periods. Rates of adherence to administration within 48 and 72 hours of antibiotic treatment were 60.2% –71.4% and 66.7%–75.8%, respectively. In the adjusted analysis, there was no change in HA-CDI (incidence rate ratio [IRR], 0.92; 95% confidence interval [CI], 0.68–1.23) or C. difficile positivity rate (IRR, 1.05; 95% CI, 0.89–1.24). Discharged patients may not have received a complete course of Bio-K+. Our hospitals had a low baseline incidence of HA-CDI. Patients who did not receive Bio-K+ may have differential risks of acquiring CDI, introducing selection bias.
Conclusions:
Hospitals considering probiotics as a primary prevention strategy should consider the baseline incidence of HA-CDI in their population and timing of probiotics relative to the start of antimicrobial administration.
{"title":"Effectiveness of Bio-K+ for the prevention of Clostridioides difficile infection: Stepped-wedge cluster-randomized controlled trial","authors":"Jenine Leal, Ye Shen, Peter Faris, Bruce Dalton, Deana Sabuda, Wrechelle Ocampo, Lauren Bresee, Blanda Chow, Jared R. Fletcher, Elizabeth Henderson, Jaime Kaufman, Joseph Kim, Maitreyi Raman, Scott Kraft, Nicole C. Lamont, Oscar Larios, Bayan Missaghi, Jayna Holroyd-Leduc, Thomas Louie, John Conly","doi":"10.1017/ice.2023.169","DOIUrl":"https://doi.org/10.1017/ice.2023.169","url":null,"abstract":"<span>Objective:</span><p>To evaluate the impact of administering probiotics to prevent <span>Clostridioides difficile</span> infection (CDI) among patients receiving therapeutic antibiotics.</p><span>Design:</span><p>Stepped-wedge cluster-randomized trial between September 1, 2016, and August 31, 2019.</p><span>Setting:</span><p>This study was conducted in 4 acute-care hospitals across an integrated health region.</p><span>Patients:</span><p>Hospitalized patients, aged ≥55 years.</p><span>Methods:</span><p>Patients were given 2 probiotic capsules daily (Bio-K+, Laval, Quebec, Canada), containing 50 billion colony-forming units of <span>Lactobacillus acidophilus</span> CL1285, <span>L. casei</span> LBC80R, and <span>L. rhamnosus</span> CLR2. We measured hospital-acquired CDI (HA-CDI) and the number of positive <span>C. difficile</span> tests per 10,000 patient days as well as adherence to administration of Bio-K+ within 48 and 72 hours of antibiotic administration. Mixed-effects generalized linear models, adjusted for influenza admissions and facility characteristics, were used to evaluate the impact of the intervention on outcomes.</p><span>Results:</span><p>Overall adherence of Bio-K+ administration ranged from 76.9% to 84.6% when stratified by facility and periods. Rates of adherence to administration within 48 and 72 hours of antibiotic treatment were 60.2% –71.4% and 66.7%–75.8%, respectively. In the adjusted analysis, there was no change in HA-CDI (incidence rate ratio [IRR], 0.92; 95% confidence interval [CI], 0.68–1.23) or <span>C. difficile</span> positivity rate (IRR, 1.05; 95% CI, 0.89–1.24). Discharged patients may not have received a complete course of Bio-K+. Our hospitals had a low baseline incidence of HA-CDI. Patients who did not receive Bio-K+ may have differential risks of acquiring CDI, introducing selection bias.</p><span>Conclusions:</span><p>Hospitals considering probiotics as a primary prevention strategy should consider the baseline incidence of HA-CDI in their population and timing of probiotics relative to the start of antimicrobial administration.</p>","PeriodicalId":13558,"journal":{"name":"Infection Control & Hospital Epidemiology","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138567870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nile Moss, Tsun Sheng, Mayar N. Ku, Al Mohajer, James A. Newton, Marie H. Wilson, Elizabeth A. Monsees, Mary K. Hayden, Kevin Messacar, Jamie J. Kisgen, Daniel J. Diekema, Daniel J. Morgan, C. Sifri, Valerie M. Vaughn, Alexandre R. Marra, Priya Nori, Bradley J. Langford, Takaaki Kobayashi, Gonzalo Bearman, Sanjay Saint, M. Greene, Sarah L. Krein, K. Fowler, Kathleen A Linder, D. Ratz, J. Meddings, Kalvin C. Yu, Molly Jung, Nathaniel S. Soper, Owen R. Albin, K. Claeys, Lauren E. Weston, Lisa Pineles, Madeline L. Berg, Carla Baxter, Ashley M. Ayres, Ashley Chung, Julie Slaughter, Andrew Bilderback, Kristian Feterik, R. Ambrosino, Suzanne Wagester, Graham M. Snyder, J. Edman-Wallér, Michael Toepfer, Johan Karp, K. Rizzardi, Gunnar Jacobsson, Maria Werner, S. S. Partha, Sara M. Malone, Melissa Bizzle, Geoffrey Ikpeama, Patrick J. Reich, C. Schuetz, Stephanie A. Fritz, Isabelle Vock, L. Aguilar-Bultet, D. Goldenberger, Silvio Ragozzino, Sabine Kuster, S. Tschudin-Sutter, Souza Sampaio, M. Ozahata, Rafael Lopes
{"title":"ICE volume 44 issue 12 Cover and Front matter","authors":"Nile Moss, Tsun Sheng, Mayar N. Ku, Al Mohajer, James A. Newton, Marie H. Wilson, Elizabeth A. Monsees, Mary K. Hayden, Kevin Messacar, Jamie J. Kisgen, Daniel J. Diekema, Daniel J. Morgan, C. Sifri, Valerie M. Vaughn, Alexandre R. Marra, Priya Nori, Bradley J. Langford, Takaaki Kobayashi, Gonzalo Bearman, Sanjay Saint, M. Greene, Sarah L. Krein, K. Fowler, Kathleen A Linder, D. Ratz, J. Meddings, Kalvin C. Yu, Molly Jung, Nathaniel S. Soper, Owen R. Albin, K. Claeys, Lauren E. Weston, Lisa Pineles, Madeline L. Berg, Carla Baxter, Ashley M. Ayres, Ashley Chung, Julie Slaughter, Andrew Bilderback, Kristian Feterik, R. Ambrosino, Suzanne Wagester, Graham M. Snyder, J. Edman-Wallér, Michael Toepfer, Johan Karp, K. Rizzardi, Gunnar Jacobsson, Maria Werner, S. S. Partha, Sara M. Malone, Melissa Bizzle, Geoffrey Ikpeama, Patrick J. Reich, C. Schuetz, Stephanie A. Fritz, Isabelle Vock, L. Aguilar-Bultet, D. Goldenberger, Silvio Ragozzino, Sabine Kuster, S. Tschudin-Sutter, Souza Sampaio, M. Ozahata, Rafael Lopes","doi":"10.1017/ice.2023.275","DOIUrl":"https://doi.org/10.1017/ice.2023.275","url":null,"abstract":"","PeriodicalId":13558,"journal":{"name":"Infection Control & Hospital Epidemiology","volume":"1 2","pages":"f1 - f9"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139192992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Clostridioides difficile, colonization and the, frequency of, treatment for, G. Sanchez-García, María B Cortés-Lara, Pilar, Berdonces-Gonzalez, J. María, de Goikoetxea, Antonio Oliver, Satoshi Atsushi Saito, Takahashi, H. Chiba,, Traditional, definition of healthcare-associated, healthcare-associated, influenza underestimates, cases, with other, Healthcare, exposures in a population-based, population-based surveillance, system, Erin B. Gettler, H. K. Talbot, Yuwei Zhu Danielle, Edward Mitchel Ndi, Tiffanie M. Markus, William, Bryan Schaffner, Harris and Thomas, R. Talbot, Diagnostic Stewardship, to support, optimal use of multiplex, molecular respiratory panels, A. S. F. S. for, Healthcare, Epidemiology, of America Research, Network, Jonathan, D. Baghdadi, M. O'Hara, J. K. Johnson, Sarah L. Krein, D. Anthony, .. Harris, J. andDaniel, Morgan, exposures in, common, areas—Epidemiological and, whole-genome sequencing, investigation, Dylan C. Kain, Sandra Isabel, Mariana, Karel, Richard De Boissinot, Borja, N.
{"title":"ICE volume 44 issue 11 Cover and Front matter","authors":"Clostridioides difficile, colonization and the, frequency of, treatment for, G. Sanchez-García, María B Cortés-Lara, Pilar, Berdonces-Gonzalez, J. María, de Goikoetxea, Antonio Oliver, Satoshi Atsushi Saito, Takahashi, H. Chiba,, Traditional, definition of healthcare-associated, healthcare-associated, influenza underestimates, cases, with other, Healthcare, exposures in a population-based, population-based surveillance, system, Erin B. Gettler, H. K. Talbot, Yuwei Zhu Danielle, Edward Mitchel Ndi, Tiffanie M. Markus, William, Bryan Schaffner, Harris and Thomas, R. Talbot, Diagnostic Stewardship, to support, optimal use of multiplex, molecular respiratory panels, A. S. F. S. for, Healthcare, Epidemiology, of America Research, Network, Jonathan, D. Baghdadi, M. O'Hara, J. K. Johnson, Sarah L. Krein, D. Anthony, .. Harris, J. andDaniel, Morgan, exposures in, common, areas—Epidemiological and, whole-genome sequencing, investigation, Dylan C. Kain, Sandra Isabel, Mariana, Karel, Richard De Boissinot, Borja, N.","doi":"10.1017/ice.2023.268","DOIUrl":"https://doi.org/10.1017/ice.2023.268","url":null,"abstract":"","PeriodicalId":13558,"journal":{"name":"Infection Control & Hospital Epidemiology","volume":"1 1","pages":"f1 - f8"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139301339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}