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Harris AD, Souli M, Pettigrew MM. The Next Generation: Mentoring and Diversity in the Antibacterial Resistance Leadership Group. Clin Infect Dis 2023; 77:S331-S335. [PMID: 37843116 PMCID: PMC10578050 DOI: 10.1093/cid/ciad532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2023] Open
Abstract
The Antibacterial Resistance Leadership Group (ARLG) Mentoring Program was established to develop and prepare the next generation of clinician-scientists for a career in antibacterial resistance research. The ARLG Diversity, Equity, and Inclusion Working Group partners with the Mentoring Committee to help ensure diversity and excellence in the clinician-scientist workforce of the future. To advance the field of antibacterial research while fostering inclusion and diversity, the Mentoring Program has developed a number of fellowships, awards, and programs, which are described in detail in this article.
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Affiliation(s)
- Anthony D Harris
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Maria Souli
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA
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Gigot C, Pisanic N, Kruczynski K, Gregory Rivera M, Spicer K, Kurowski KM, Randad P, Koehler K, Clarke WA, Holmes P, Hall DJ, Hall DJ, Heaney CD. SARS-CoV-2 Antibody Prevalence among Industrial Livestock Operation Workers and Nearby Community Residents, North Carolina, 2021 to 2022. mSphere 2023; 8:e0052222. [PMID: 36656002 PMCID: PMC9942583 DOI: 10.1128/msphere.00522-22] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 12/06/2022] [Indexed: 01/20/2023] Open
Abstract
Industrial livestock operations (ILOs), particularly processing facilities, emerged as centers of coronavirus disease 2019 (COVID-19) outbreaks in spring 2020. Confirmed cases of COVID-19 underestimate true prevalence. To investigate the prevalence of antibodies against SARS-CoV-2, we enrolled 279 participants in North Carolina from February 2021 to July 2022: 90 from households with at least one ILO worker (ILO), 97 from high-ILO intensity areas (ILO neighbors [ILON]), and 92 from metropolitan areas (metro). More metro (55.4%) compared to ILO (51.6%) and ILON participants (48.4%) completed the COVID-19 primary vaccination series; the median completion date was more than 4 months later for ILO compared to ILON and metro participants, although neither difference was statistically significant. Participants provided a saliva swab we analyzed for SARS-CoV-2 IgG using a multiplex immunoassay. The prevalence of infection-induced IgG (positive for nucleocapsid and receptor binding domain) was higher among ILO (63%) than ILON (42.9%) and metro (48.7%) participants (prevalence ratio [PR], 1.38; 95% confidence interval [CI], 1.06 to 1.80; reference category ILON and metro combined). The prevalence of infection-induced IgG was also higher among ILO participants than among an Atlanta health care worker cohort (PR, 2.45; 95% CI, 1.80 to 3.33) and a general population cohort in North Carolina (PRs, 6.37 to 10.67). The infection-induced IgG prevalence increased over the study period. Participants reporting not masking in public in the past 2 weeks had higher infection-induced IgG prevalence (78.6%) than participants reporting masking (49.3%) (PR, 1.59; 95% CI, 1.19 to 2.13). Lower education, more people per bedroom, Hispanic/Latino ethnicity, and more contact with people outside the home were also associated with higher infection-induced IgG prevalence. IMPORTANCE Few studies have measured COVID-19 seroprevalence in North Carolina, especially among rural, Black, and Hispanic/Latino communities that have been heavily affected. Antibody results show high rates of COVID-19 among industrial livestock operation workers and their household members. Antibody results add to evidence of health disparities related to COVID-19 by socioeconomic status and ethnicity. Associations between masking and physical distancing with antibody results also add to evidence of the effectiveness of these prevention strategies. Delays in the timing of receipt of COVID-19 vaccination reinforce the importance of dismantling vaccination barriers, especially for industrial livestock operation workers and their household members.
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Affiliation(s)
- Carolyn Gigot
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Nora Pisanic
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Kate Kruczynski
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Magdielis Gregory Rivera
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Kristoffer Spicer
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Kathleen M. Kurowski
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Pranay Randad
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Kirsten Koehler
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - William A. Clarke
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Phyla Holmes
- Rural Empowerment Association for Community Help, Warsaw, North Carolina, USA
| | - D. J. Hall
- Rural Empowerment Association for Community Help, Warsaw, North Carolina, USA
| | - Devon J. Hall
- Rural Empowerment Association for Community Help, Warsaw, North Carolina, USA
| | - Christopher D. Heaney
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
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Lee CC, Chiu CW, Lee JC, Tsai PJ, Ko WC, Hung YP. Risk Factors and Clinical Impact of Carbapenem-Resistant Enterobacterales Coinfections Among Hospitalized Patients with Clostridioides difficile Infection. Infect Drug Resist 2022; 15:6287-6295. [PMID: 36337933 PMCID: PMC9635385 DOI: 10.2147/idr.s386309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 10/26/2022] [Indexed: 11/05/2022] Open
Abstract
Introduction The risk factors and clinical impact of carbapenem-resistant Enterobacterales (CRE) coinfection among hospitalized patients with Clostridioides difficile infection (CDI) were analyzed in this study. Materials and Methods A clinical study was performed at the medical wards of Tainan Hospital, Ministry of Health and Welfare in southern Taiwan. Patients with CDI between January 2013 and April 2020 were included. Results Among 238 patients included for analysis, 22 (9.2%) patients developed CRE coinfections within 14 days before or after the onset of CDI. CDI patients with CRE coinfection had longer hospitalization stays (103.0 ± 97.0 days vs 42.5 ± 109.6 days, P = 0.01) than those without CRE coinfection. In the multivariate analysis, age (odds ratio [OR] 1.05, 95% confidence interval [CI] 1.01–1.10, P = 0.02) was independently associated with CRE coinfection. In contrast, underlying old stroke (OR 0.15, 95% CI 0.03–0.70, P = 0.02) was negatively linked to CRE coinfection. Conclusion Among patients with CDI, CRE coinfections were associated with prolonged hospitalization for CDI. Age was an independent risk factor for CRE coinfection among patients with CDI.
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Affiliation(s)
- Ching-Chi Lee
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, 704, Taiwan,Graduate Institute of Medical Sciences, College of Health Sciences, Chang Jung Christian University, Tainan, 711, Taiwan,Clinical Medicine Research Center, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, 704, Taiwan
| | - Chun-Wei Chiu
- Department of Internal Medicine, Tainan Hospital, Ministry of Health and Welfare, Tainan, 700, Taiwan
| | - Jen-Chieh Lee
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, 704, Taiwan
| | - Pei-Jane Tsai
- Department of Medical Laboratory Science and Biotechnology, National Cheng Kung University, College of Medicine, Tainan, 704, Taiwan,Department of Pathology, National Cheng Kung University Hospital, Tainan, Taiwan,Centers of Infectious Disease and Signaling Research, National Cheng Kung University, Tainan, Taiwan
| | - Wen-Chien Ko
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, 704, Taiwan,Department of Medicine, College of Medicine, National Cheng Kung University, Tainan, 704, Taiwan,Wen-Chien Ko, Department of Internal Medicine, College of Medicine, National Cheng Kung University Hospital, Tainan, Taiwan, Email
| | - Yuan-Pin Hung
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, 704, Taiwan,Department of Internal Medicine, Tainan Hospital, Ministry of Health and Welfare, Tainan, 700, Taiwan,Department of Medicine, College of Medicine, National Cheng Kung University, Tainan, 704, Taiwan,Department of Microbiology & Immunology, College of Medicine, National Cheng Kung University, Tainan, Taiwan,Correspondence: Yuan-Pin Hung, Department of Internal Medicine, Tainan Hospital, Ministry of Health and Welfare, Tainan, Taiwan, Email
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Li Z, Zhang Y, Zhang W, Zhang Y, Zhou S, Chen W, Liu Y. Study on the Detection and Infection Distribution of Multidrug-Resistant Organisms in Different Specimens. Infect Drug Resist 2022; 15:5945-5952. [PMID: 36247737 PMCID: PMC9560865 DOI: 10.2147/idr.s375682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Accepted: 10/03/2022] [Indexed: 11/05/2022] Open
Abstract
Objective To analyze the infection and distribution of multidrug-resistant organisms (MDRO) in different clinical specimens, thereby providing a reference for clinical diagnosis and treatment and prevention and control. Patient and Methods 2314 strains of MDRO isolated from clinical specimens in the First Affiliated Hospital of Nanjing Medical University from January to December 2020. MDRO were collected by Information System. The detection rate of MDRO, infection rate, the proportion of infection, and detection rate of MDRO infection in different specimens were analyzed. Results The top three specimens in the detection rate of MDRO were BALF (60.71%), sputum (33.68%), and blood (28.79%). The top three specimens in the proportion of MDRO infection were blood (97.74), other sterile body fluids (90.35%), and BALF (90.20%). The top three specimens in the MDRO infection rate were BALF (9.75%), sputum (3.07%), and secretions (2.90%). The top three specimens in the detection rate of MDRO infection were sputum (0.63‰), other sterile body fluids (0.13‰), and secretions (0.11‰). Conclusion The detection and infection distribution of MDRO vary greatly in different specimens. The submission of sterile body fluids for examination should be strengthened and the standard of sample collection should be highlighted.
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Affiliation(s)
- Zhanjie Li
- Department of Infection Control, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People’s Republic of China
| | - Ying Zhang
- Department of Infection Control, Lianshui County People’s Hospital, Huaian, People’s Republic of China
| | - Weihong Zhang
- Department of Infection Control, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People’s Republic of China
| | - Yongxiang Zhang
- Department of Infection Control, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People’s Republic of China
| | - Suming Zhou
- Department of Geriatric Critical Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People’s Republic of China
| | - Wensen Chen
- Department of Infection Control, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People’s Republic of China,Correspondence: Wensen Chen, Department of Infection Control, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People’s Republic of China, Tel +86-13809049855, Email
| | - Yun Liu
- Department of Information, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People’s Republic of China,Department of Medical Informatics, School of BioMedical Engineering and Informatics, Nanjing Medical University, Nanjing, People’s Republic of China,Yun Liu, Department of Information, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guang Zhou Road, Nanjing, People’s Republic of China, Tel +86-18805152008, Email
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