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Clinical Infectious Diseases | 2014

NAP1 Strain Type Predicts Outcomes from Clostridium difficile Infection

Isaac See; Yi Mu; Jessica Cohen; Zintars G. Beldavs; Lisa G. Winston; Ghinwa Dumyati; Stacy M. Holzbauer; John J. Dunn; Monica M. Farley; Carol Lyons; Helen Johnston; Erin C. Phipps; Rebecca Perlmutter; Lydia Anderson; Dale N. Gerding; Fernanda C. Lessa

BACKGROUND Studies are conflicting regarding the importance of the fluoroquinolone-resistant North American pulsed-field gel electrophoresis type 1 (NAP1) strain in Clostridium difficile infection (CDI) outcome. We describe strain types causing CDI and evaluate their association with patient outcomes. METHODS CDI cases were identified from population-based surveillance. Multivariate regression models were used to evaluate the associations of strain type with severe disease (ileus, toxic megacolon, or pseudomembranous colitis within 5 days; or white blood cell count ≥15 000 cells/µL within 1 day of positive test), severe outcome (intensive care unit admission after positive test, colectomy for C. difficile infection, or death within 30 days of positive test), and death within 14 days of positive test. RESULTS Strain typing results were available for 2057 cases. Severe disease occurred in 363 (17.7%) cases, severe outcome in 100 (4.9%), and death within 14 days in 56 (2.7%). The most common strain types were NAP1 (28.4%), NAP4 (10.2%), and NAP11 (9.1%). In unadjusted analysis, NAP1 was associated with greater odds of severe disease than other strains. After controlling for patient risk factors, healthcare exposure, and antibiotic use, NAP1 was associated with severe disease (adjusted odds ratio [AOR], 1.74; 95% confidence interval [CI], 1.36-2.22), severe outcome (AOR, 1.66; 95% CI, 1.09-2.54), and death within 14 days (AOR, 2.12; 95% CI, 1.22-3.68). CONCLUSIONS NAP1 was the most prevalent strain and a predictor of severe disease, severe outcome, and death. Strategies to reduce NAP1 prevalence, such as antibiotic stewardship to reduce fluoroquinolone use, might reduce CDI morbidity.


Pediatrics | 2014

Clostridium difficile Infection Among Children Across Diverse US Geographic Locations

Joyanna Wendt; Jessica Cohen; Yi Mu; Ghinwa Dumyati; John R. Dunn; Stacy M. Holzbauer; Lisa G. Winston; Helen Johnston; James Meek; Monica M. Farley; Lucy E. Wilson; Erin C. Phipps; Zintars G. Beldavs; Dale N. Gerding; L. Clifford McDonald; Carolyn V. Gould; Fernanda C. Lessa

OBJECTIVE: Little is known about the epidemiology of Clostridium difficile infection (CDI) among children, particularly children ≤3 years of age in whom colonization is common but pathogenicity uncertain. We sought to describe pediatric CDI incidence, clinical presentation, and outcomes across age groups. METHODS: Data from an active population- and laboratory-based CDI surveillance in 10 US geographic areas during 2010–2011 were used to identify cases (ie, residents with C difficile–positive stool without a positive test in the previous 8 weeks). Community-associated (CA) cases had stool collected as outpatients or ≤3 days after hospital admission and no overnight health care facility stay in the previous 12 weeks. A convenience sample of CA cases were interviewed. Demographic, exposure, and clinical data for cases aged 1 to 17 years were compared across 4 age groups: 1 year, 2 to 3 years, 4 to 9 years, and 10 to 17 years. RESULTS: Of 944 pediatric CDI cases identified, 71% were CA. CDI incidence per 100 000 children was highest among 1-year-old (66.3) and white (23.9) cases. The proportion of cases with documented diarrhea (72%) or severe disease (8%) was similar across age groups; no cases died. Among the 84 cases interviewed who reported diarrhea on the day of stool collection, 73% received antibiotics during the previous 12 weeks. CONCLUSIONS: Similar disease severity across age groups suggests an etiologic role for C difficile in the high rates of CDI observed in younger children. Prevention efforts to reduce unnecessary antimicrobial use among young children in outpatient settings should be prioritized.


Clinical Infectious Diseases | 2013

Effect of Nucleic Acid Amplification Testing on Population-based Incidence Rates of Clostridium difficile Infection

Carolyn V. Gould; Jonathan R. Edwards; Jessica Cohen; Wendy Bamberg; Leigh Ann Clark; Monica M. Farley; Helen Johnston; Joelle Nadle; Lisa G. Winston; Dale N. Gerding; L. Clifford McDonald; Fernanda C. Lessa; Zintars G. Beldavs; Samir Hanna; Gary Hollick; Stacy M. Holzbauer; Carol Lyons; Erin C. Phipps; Lucy E. Wilson

Nucleic acid amplification testing (NAAT) is increasingly being adopted for diagnosis of Clostridium difficile infection (CDI). Data from 3 states conducting population-based CDI surveillance showed increases ranging from 43% to 67% in CDI incidence attributable to changing from toxin enzyme immunoassays to NAAT. CDI surveillance requires adjustment for testing methods.


Open Forum Infectious Diseases | 2016

Burden of Nursing Home-Onset Clostridium difficile Infection in the United States: Estimates of Incidence and Patient Outcomes

Jennifer C. Hunter; Yi Mu; Ghinwa Dumyati; Monica M. Farley; Lisa G. Winston; Helen Johnston; James Meek; Rebecca Perlmutter; Stacy M. Holzbauer; Zintars G. Beldavs; Erin C. Phipps; John R. Dunn; Jessica Cohen; Johannetsy J. Avillan; Nimalie D. Stone; Dale N. Gerding; L. Clifford McDonald; Fernanda C. Lessa

Background. Approximately 4 million Americans receive nursing home (NH) care annually. Nursing home residents commonly have risk factors for Clostridium difficile infection (CDI), including advanced age and antibiotic exposures. We estimated national incidence of NH-onset (NHO) CDI and patient outcomes. Methods. We identified NHO-CDI cases from population-based surveillance of 10 geographic areas in the United States. Cases were defined by C difficile-positive stool collected in an NH (or from NH residents in outpatient settings or ≤3 days after hospital admission) without a positive stool in the prior 8 weeks. Medical records were reviewed on a sample of cases. Incidence was estimated using regression models accounting for age and laboratory testing method; sampling weights were applied to estimate hospitalizations, recurrences, and deaths. Results. A total of 3503 NHO-CDI cases were identified. Among 262 sampled cases, median age was 82 years, 76% received antibiotics in the 12 weeks prior to the C difficile-positive specimen, and 57% were discharged from a hospital in the month before specimen collection. After adjusting for age and testing method, the 2012 national estimate for NHO-CDI incidence was 112 800 cases (95% confidence interval [CI], 93 400–131 800); 31 400 (28%) were hospitalized within 7 days after a positive specimen (95% CI, 25 500–37 300), 20 900 (19%) recurred within 14–60 days (95% CI, 14 600–27 100), and 8700 (8%) died within 30 days (95% CI, 6600–10 700). Conclusions. Nursing home onset CDI is associated with substantial morbidity and mortality. Strategies focused on infection prevention in NHs and appropriate antibiotic use in both NHs and acute care settings may decrease the burden of NHO CDI.


Journal of Clinical Microbiology | 2014

Impact of Changes in Clostridium difficile Testing Practices on Stool Rejection Policies and C. difficile Positivity Rates across Multiple Laboratories in the United States

Jessica Cohen; Brandi Limbago; Ghinwa Dumyati; Stacy M. Holzbauer; Helen Johnston; Rebecca Perlmutter; John J. Dunn; Joelle Nadle; Carol Lyons; Erin C. Phipps; Zintars G. Beldavs; Leigh Ann Clark; Fernanda C. Lessa

ABSTRACT We describe the adoption of nucleic acid amplification tests (NAAT) for Clostridium difficile diagnosis and their impact on stool rejection policies and C. difficile positivity rates. Of the laboratories with complete surveys, 51 (43%) reported using NAAT in 2011. Laboratories using NAAT had stricter rejection policies and increased positivity rates.


Open Forum Infectious Diseases | 2015

Risk Factors for Clostridium difficile Infection Recurrence

Sujan C. Reddy; Alice Guh; Fernanda C. Lessa; Yi Mu; Zintars G. Beldavs; Corinne M. Davis; Ghinwa Dumyati; Stacy M. Holzbauer; Helen Johnston; Carol Lyons; Erin C. Phipps; Lucy E. Wilson; Lisa G. Winston; Dale N. Gerding; L. Clifford McDonald; Monica M. Farley

1Emory University School of Medicine, Department of Medicine, Atlanta, GA. 2Atlanta Veterans Affairs Medical Center, Atlanta, GA. 3Georgia Emerging Infections Program, Atlanta, GA. 4Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Infectious Diseases, Division of Healthcare Quality Promotion, Atlanta, GA. 5Oregon Health Authority, Public Health Division, Portland, OR. 6Tennessee Department of Health, Nashville, TN. 7University of Rochester Medical Center, Rochester, NY. 8Minnesota Department of Health, St. Paul, MN. 9Colorado Department of Public Health and Environment, Denver, CO. 10Ya le School of Public Health, Connecticut Emerging Infections Program, New Haven, CT. 11University of New Mexico, New Mexico Emerging Infections Program, Albuquerque, NM. 12Maryland Department of Health and Mental Hygiene, Baltimore, MD. 13Department of Medicine, University of Ca lifornia, San Francisco, School of Medicine, San Francisco, CA. 14Department of Medicine, Loyola University Chicago Stritch School of Medicine, Maywood, IL. 15Edward Hines, Jr., Veterans Affairs Hospital, Hines, IL


American Journal of Infection Control | 2016

Investigation of a cluster of Clostridium difficile infections in a pediatric oncology setting

Raymund Dantes; Erin E. Epson; Samuel R. Dominguez; Susan A. Dolan; Frank Wang; Amanda L. Hurst; Sarah K. Parker; Helen Johnston; Kelly West; Lydia Anderson; James K. Rasheed; Heather Moulton-Meissner; Judith Noble-Wang; Brandi Limbago; Elaine Dowell; Joanne M. Hilden; Alice Guh; Lori A. Pollack; Carolyn V. Gould


Open Forum Infectious Diseases | 2016

Treatment of Clostridium difficile Infection in 10 U.S. Geographical Locations, 2013-2014

Shannon Novosad; Lisa G. Winston; Helen Johnston; Elizabeth Badolato; Carol Lyons; Monica M. Farley; Andrew Revis; Lucy E. Wilson; Rebecca Perlmutter; Stacy M. Holzbauer; Tory Whitten; Erin C. Phipps; Ghinwa Dumyati; Zintars G. Beldaversus; Valerie Ocampo; Marion Kainer; Corinne M. Davis; Jamie Barnes; Dale N. Gerding; Alice Guh


Open Forum Infectious Diseases | 2016

Use of death certificate data in healthcare-associated infection (HAI) surveillance

Meghan Lyman; Lisa LaPlace; Nicolai Buhr; Cathleen Concannon; Katherine Ellingson; Helen Johnston; Marion Kainer; Brittany Martin; Meghan Maloney; Lewis Perry; Linn Warnke; Nicola D. Thompson


Open Forum Infectious Diseases | 2015

Refining measurement of mortality attributable to healthcare associated infections (HAI)

Nicola D. Thompson; Lisa LaPlace; Helen Johnston; Brittany Martin; Richard Melchreit; Katherine Ellingson; Cathleen Concannon; Linn Warnke; Susan M. Ray; Marion Kainer; Shelley S. Magill

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Erin C. Phipps

University of New Mexico

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Fernanda C. Lessa

Centers for Disease Control and Prevention

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Ghinwa Dumyati

University of Rochester Medical Center

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Stacy M. Holzbauer

Centers for Disease Control and Prevention

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Dale N. Gerding

Loyola University Chicago

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Jessica Cohen

Centers for Disease Control and Prevention

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