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Featured researches published by Stephen R. Benoit.


The New England Journal of Medicine | 2009

Hospitalized Patients with 2009 H1N1 Influenza in the United States, April–June 2009

Seema Jain; Laurie Kamimoto; Anna M. Bramley; Ann Schmitz; Stephen R. Benoit; Janice K. Louie; David E. Sugerman; Jean K. Druckenmiller; Kathleen A. Ritger; Rashmi Chugh; Supriya Jasuja; Meredith Deutscher; Sanny Y. Chen; John Walker; Jeffrey S. Duchin; Susan M. Lett; Susan Soliva; Eden V. Wells; David L. Swerdlow; Timothy M. Uyeki; Anthony E. Fiore; Sonja J. Olsen; Alicia M. Fry; Carolyn B. Bridges; Lyn Finelli

BACKGROUND During the spring of 2009, a pandemic influenza A (H1N1) virus emerged and spread globally. We describe the clinical characteristics of patients who were hospitalized with 2009 H1N1 influenza in the United States from April 2009 to mid-June 2009. METHODS Using medical charts, we collected data on 272 patients who were hospitalized for at least 24 hours for influenza-like illness and who tested positive for the 2009 H1N1 virus with the use of a real-time reverse-transcriptase-polymerase-chain-reaction assay. RESULTS Of the 272 patients we studied, 25% were admitted to an intensive care unit and 7% died. Forty-five percent of the patients were children under the age of 18 years, and 5% were 65 years of age or older. Seventy-three percent of the patients had at least one underlying medical condition; these conditions included asthma; diabetes; heart, lung, and neurologic diseases; and pregnancy. Of the 249 patients who underwent chest radiography on admission, 100 (40%) had findings consistent with pneumonia. Of the 268 patients for whom data were available regarding the use of antiviral drugs, such therapy was initiated in 200 patients (75%) at a median of 3 days after the onset of illness. Data suggest that the use of antiviral drugs was beneficial in hospitalized patients, especially when such therapy was initiated early. CONCLUSIONS During the evaluation period, 2009 H1N1 influenza caused severe illness requiring hospitalization, including pneumonia and death. Nearly three quarters of the patients had one or more underlying medical conditions. Few severe illnesses were reported among persons 65 years of age or older. Patients seemed to benefit from antiviral therapy.


Emerging Infectious Diseases | 2010

Risk factors for and estimated incidence of community-associated Clostridium difficile infection, North Carolina, USA.

Preeta K. Kutty; Christopher W. Woods; Arlene C. Sena; Stephen R. Benoit; Susanna Naggie; Joyce Frederick; Sharon Evans; Jeffery Engel; L. Clifford McDonald

Antimicrobial drug exposure is the most common modifiable risk factor for infection.


Journal of the American Geriatrics Society | 2008

Factors Associated with Antimicrobial Use in Nursing Homes : A Multilevel Model

Stephen R. Benoit; Wato Nsa; Chesley L. Richards; Dale W. Bratzler; Abigail Shefer; Lynn Steele; John A. Jernigan

OBJECTIVES: To describe antimicrobial prescribing patterns in nursing homes.


Infection Control and Hospital Epidemiology | 2008

Assessment of Clostridium difficile-associated disease surveillance definitions, North Carolina, 2005

Preeta K. Kutty; Stephen R. Benoit; Christopher W. Woods; Arlene C. Sena; Susanna Naggie; Joyce Frederick; John J. Engemann; Sharon Evans; Brian C. Pien; Shailendra N. Banerjee; Jeffery Engel; L. Clifford McDonald

OBJECTIVE To determine the timing of community-onset Clostridium difficile-associated disease (CDAD) relative to the patients last healthcare facility discharge, the association of postdischarge cases with healthcare facility-onset cases, and the influence of postdischarge cases on overall rates and interhospital comparison of rates of CDAD. DESIGN Retrospective cohort study for the period January 1, 2005, through December 31, 2005. SETTING Catchment areas of 6 acute care hospitals in North Carolina. METHODS We reviewed medical and laboratory records to determine the date of symptom onset, the dates of hospitalization, and stool C. difficile toxin assay results for patients with CDAD who had diarrhea and positive toxin-assay results. Cases were classified as healthcare facility-onset if they were diagnosed more than 48 hours after admission. Cases were defined as community-onset if they were diagnosed in the community or within 48 hours after admission, and were also classified on the basis of the time since the last discharge: if within 4 weeks, community-onset, healthcare facility-associated (CO-HCFA); if 4-12 weeks, indeterminate exposure; and if more than 12 weeks, community-associated. Pearsons correlation coefficient was used to assess the association between monthly rates of healthcare facility-onset, healthcare facility-associated (HO-HCFA) cases and CO-HCFA cases. We performed interhospital rate comparisons using HO-HCFA cases only and using both HO-HCFA and CO-HCFA cases. RESULTS Of 1046 CDAD cases, 442 (42%) were HO-HCFA cases and 604 (58%) were community-onset cases. Of the 604 community-onset cases, 94 (15%) were CO-HCFA, 40 (7%) were of indeterminate exposure, and 208 (34%) community-associated. A modest correlation was found between monthly rates of HO-HCFA cases and CO-HCFA cases across the 6 hospitals (r = 0.63, P < .001). Interhospital rankings changed for 6 of 11 months if CO-HCFA cases were included. CONCLUSIONS A substantial proportion of community-onset cases of CDAD occur less than 4 weeks after discharge from a healthcare facility, and inclusion of CO-HCFA cases influences interhospital comparisons. Our findings support the use of a proposed definition of healthcare facility-associated CDAD that includes cases that occur within 4 weeks after discharge.


Clinical Infectious Diseases | 2012

Influenza-Associated Pneumonia Among Hospitalized Patients With 2009 Pandemic Influenza A (H1N1) Virus—United States, 2009

Seema Jain; Stephen R. Benoit; Jacek Skarbinski; Anna M. Bramley; Lyn Finelli

BACKGROUND Pneumonia was a common complication among hospitalized patients with 2009 pandemic influenza A H1N1 [pH1N1] in the United States in 2009. METHODS Through 2 national case series conducted during spring and fall of 2009, medical records were reviewed. A pneumonia case was defined as a hospitalized person with laboratory-confirmed pH1N1 virus and a chest radiographic report consistent with pneumonia based on agreement among 3 physicians. RESULTS Of 451 patients with chest radiographs performed, 195 (43%) had pneumonia (spring, 106 of 237 [45%]; fall, 89 of 214 [42%]). Compared with 256 patients without pneumonia, these 195 patients with pneumonia were more likely to be admitted to the intensive care unit (52% vs 16%), have acute respiratory distress syndrome (ARDS; 26% vs 2%), have sepsis (18% vs 3%), and die (17% vs 2%; P < .0001). One hundred eighteen (61%) of the patients with pneumonia had ≥1 underlying condition. Bacterial infections were reported in 13 patients with pneumonia and 2 patients without pneumonia. Patients with pneumonia, when compared with patients without pneumonia, were equally likely to receive influenza antiviral agents (78% vs 79%) but less likely to receive antiviral agents within ≤2 days of illness onset (28% vs 50%; P < .0001). CONCLUSIONS Hospitalized patients with pH1N1 and pneumonia were at risk for severe outcomes including ARDS, sepsis, and death; antiviral treatment was often delayed. In the absence of accurate pneumonia diagnostics, patients hospitalized with suspected influenza and lung infiltrates on chest radiography should receive early and aggressive treatment with antibiotics and influenza antiviral agents.


Emerging Infectious Diseases | 2008

Community strains of methicillin-resistant Staphylococcus aureus as potential cause of healthcare-associated infections, Uruguay, 2002-2004.

Stephen R. Benoit; Concepcion F. Estivariz; Cristina Mogdasy; Walter Pedreira; Antonio Galiana; Alvaro Galiana; Homero Bagnulo; Rachel J. Gorwitz; Gregory E. Fosheim; Linda K. McDougal; Daniel B. Jernigan

Community-associated MRSA appears to be replacing healthcare-associated MRSA strain types in at least 1 facility and is a cause of healthcare-onset infections.


Injury Prevention | 2010

Automated monitoring of clusters of falls associated with severe winter weather using the BioSense system.

Achintya Dey; Peter Hicks; Stephen R. Benoit; Jerome I. Tokars

Objectives To identify and characterise clusters of emergency department (ED) visits for fall injuries during the 2007–2008 winter season. Methods Hospital ED chief complaints and diagnoses from hospitals reporting to the Centers for Disease Control and Prevention BioSense system were analysed. The authors performed descriptive analyses, used time series charts on data aggregated by metropolitan statistical areas (MSAs), and used SaTScan to find spatial–temporal clusters of visits from falls. Results In 2007–2008, 17 clusters of falls in 13 MSAs were found; the median number of excess ED visits for falls was 71 per day. SaTScan identified 11 clusters of falls, of which seven corresponded to MSA clusters found by time series and five included more than one state/district. Most clusters coincided with known periods of snowfall or freezing rain. Conclusion The results show the role that a national automated system can play in tracking widespread injuries. Such a system could be harnessed to assist with prevention strategies.


Clinical Infectious Diseases | 2016

Multistate Outbreak of Respiratory Infections Among Unaccompanied Children, June 2014–July 2014

Sara Tomczyk; Carmen S. Arriola; Bernard Beall; Alvaro J. Benitez; Stephen R. Benoit; LaShondra Berman; Joseph S. Bresee; Maria da Gloria Carvalho; Amanda C. Cohn; Kristen E. Cross; Maureen H. Diaz; Louise Francois Watkins; Ryan Gierke; José E. Hagan; Aaron M. Harris; Seema Jain; Lindsay Kim; Miwako Kobayashi; Stephen Lindstrom; Lesley McGee; Meredith McMorrow; Benjamin L. Metcalf; Matthew R. Moore; Iaci N. S. Moura; W. Allan Nix; Edith Nyangoma; M. Steven Oberste; Sonja J. Olsen; Fabiana Cristina Pimenta; Christina Socias

BACKGROUND From January 2014-July 2014, more than 46 000 unaccompanied children (UC) from Central America crossed the US-Mexico border. In June-July, UC aged 9-17 years in 4 shelters and 1 processing center in 4 states were hospitalized with acute respiratory illness. We conducted a multistate investigation to interrupt disease transmission. METHODS Medical charts were abstracted for hospitalized UC. Nonhospitalized UC with influenza-like illness were interviewed, and nasopharyngeal and oropharyngeal swabs were collected to detect respiratory pathogens. Nasopharyngeal swabs were used to assess pneumococcal colonization in symptomatic and asymptomatic UC. Pneumococcal blood isolates from hospitalized UC and nasopharyngeal isolates were characterized by serotyping and whole-genome sequencing. RESULTS Among 15 hospitalized UC, 4 (44%) of 9 tested positive for influenza viruses, and 6 (43%) of 14 with blood cultures grew pneumococcus, all serotype 5. Among 48 nonhospitalized children with influenza-like illness, 1 or more respiratory pathogens were identified in 46 (96%). Among 774 nonhospitalized UC, 185 (24%) yielded pneumococcus, and 70 (38%) were serotype 5. UC transferring through the processing center were more likely to be colonized with serotype 5 (odds ratio, 3.8; 95% confidence interval, 2.1-6.9). Analysis of core pneumococcal genomes detected 2 related, yet independent, clusters. No pneumococcus cases were reported after pneumococcal and influenza immunization campaigns. CONCLUSIONS This respiratory disease outbreak was due to multiple pathogens, including Streptococcus pneumoniae serotype 5 and influenza viruses. Pneumococcal and influenza vaccinations prevented further transmission. Future efforts to prevent similar outbreaks will benefit from use of both vaccines.


Journal of epidemiology and global health | 2014

Burden of laboratory-confirmed Campylobacter infections in Guatemala 2008–2012: Results from a facility-based surveillance system

Stephen R. Benoit; Beatriz López; Wences Arvelo; Olga Henao; Michele B. Parsons; Lissette Reyes; Juan Carlos Moir; Kim A. Lindblade

Introduction: Campylobacteriosis is one of the leading causes of gastroenteritis worldwide. This study describes the epidemiology of laboratory-confirmed Campylobacter diarrheal infections in two facility-based surveillance sites in Guatemala. Methods: Clinical, epidemiologic, and laboratory data were collected on patients presenting with acute diarrhea from select healthcare facilities in the departments of Santa Rosa and Quetzaltenango, Guatemala, from January 2008 through August 2012. Stool specimens were cultured for Campylobacter and antimicrobial susceptibility testing was performed on a subset of isolates. Multidrug resistance (MDR) was defined as resistance to ⩾3 antimicrobial classes. Results: Campylobacter was isolated from 306 (6.0%) of 5137 stool specimens collected. For children <5 years of age, annual incidence was as high as 1288.8 per 100,000 children in Santa Rosa and 185.5 per 100,000 children in Quetzaltenango. Among 224 ambulatory care patients with Campylobacter, 169 (75.5%) received metronidazole or trimethoprim-sulfamethoxazole, and 152 (66.7%) received or were prescribed oral rehydration therapy. Antimicrobial susceptibilities were tested in 96 isolates; 57 (59.4%) were resistant to ciprofloxacin and 12 (12.5%) were MDR. Conclusion: Campylobacter was a major cause of diarrhea in children in two departments in Guatemala; antimicrobial resistance was high, and treatment regimens in the ambulatory setting which included metronidazole and trimethoprim-sulfamethoxazole and lacked oral rehydration were sub-optimal.


PLOS Neglected Tropical Diseases | 2013

Dengue Surveillance in Veterans Affairs Healthcare Facilities, 2007–2010

Patricia Schirmer; Cynthia Lucero-Obusan; Stephen R. Benoit; Luis M. Santiago; Danielle Stanek; Achintya Dey; Mirsonia Martinez; Gina Oda; Mark Holodniy

Background Although dengue is endemic in Puerto Rico (PR), 2007 and 2010 were recognized as epidemic years. In the continental United States (US), outside of the Texas-Mexico border, there had not been a dengue outbreak since 1946 until dengue re-emerged in Key West, Florida (FL), in 2009–2010. The objective of this study was to use electronic and manual surveillance systems to identify dengue cases in Veterans Affairs (VA) healthcare facilities and then to clinically compare dengue cases in Veterans presenting for care in PR and in FL. Methodology Outpatient encounters from 1/2007–12/2010 and inpatient admissions (only available from 10/2009–12/2010) with dengue diagnostic codes at all VA facilities were identified using VAs Electronic Surveillance System for Early Notification of Community-based Epidemics (ESSENCE). Additional case sources included VA data from Centers for Disease Control and Prevention BioSense and VA infection preventionists. Case reviews were performed. Categorical data was compared using Mantel-Haenszel or Fisher Exact tests and continuous variables using t-tests. Dengue case residence was mapped. Findings Two hundred eighty-eight and 21 PR and FL dengue cases respectively were identified. Of 21 FL cases, 12 were exposed in Key West and 9 were imported. During epidemic years, FL cases had significantly increased dengue testing and intensive care admissions, but lower hospitalization rates and headache or eye pain symptoms compared to PR cases. There were no significant differences in clinical symptoms, laboratory abnormalities or outcomes between epidemic and non-epidemic year cases in FL and PR. Confirmed/probable cases were significantly more likely to be hospitalized and have thrombocytopenia or leukopenia compared to suspected cases. Conclusions Dengue re-introduction in the continental US warrants increased dengue surveillance and education in VA. Throughout VA, under-testing of suspected cases highlights the need to emphasize use of diagnostic testing to better understand the magnitude of dengue among Veterans.

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Achintya Dey

Centers for Disease Control and Prevention

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Cynthia Lucero-Obusan

United States Department of Veterans Affairs

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Danielle Stanek

Florida Department of Health

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Edward W. Gregg

Centers for Disease Control and Prevention

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Gina Oda

United States Department of Veterans Affairs

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Luis M. Santiago

Centers for Disease Control and Prevention

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Peter Hicks

Centers for Disease Control and Prevention

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