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Sansom SE, Shimasaki T, Dangana T, Lin MY, Schoeny ME, Fukuda C, Moore NM, Yelin RD, Bassis CM, Rhee Y, Cisneros EC, Bell P, Lolans K, Aboushaala K, Young VB, Hayden MK. Comparison of Daily Versus Admission and Discharge Surveillance Cultures for Multidrug-Resistant Organism Detection in an Intensive Care Unit. J Infect Dis 2024; 230:807-815. [PMID: 38546721 DOI: 10.1093/infdis/jiae162] [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] [Received: 09/26/2023] [Revised: 03/19/2024] [Accepted: 03/26/2024] [Indexed: 05/24/2024] Open
Abstract
BACKGROUND Admission and discharge screening of patients for asymptomatic gut colonization with multidrug-resistant organisms (MDROs) is a common approach to active surveillance, but its sensitivity for detecting colonization is uncertain. METHODS Daily rectal or fecal swab samples and associated clinical data were collected over 12 months from patients in one 25-bed medical intensive care unit (ICU) in Chicago, IL and tested for the following MDROs: vancomycin-resistant enterococci; third-generation cephalosporin-resistant Enterobacterales, including extended-spectrum β-lactamase-producing Enterobacterales; and carbapenem-resistant Enterobacterales. MDRO detection by (1) admission and discharge surveillance cultures or (2) clinical cultures were compared to daily surveillance cultures. Samples underwent 16S rRNA gene sequencing to measure the relative abundance of operational taxonomic units (OTUs) corresponding to each MDRO. RESULTS Compared with daily surveillance cultures, admission/discharge cultures detected 91% of prevalent MDRO colonization and 63% of MDRO acquisitions among medical ICU patients. Few (7%) MDRO carriers were identified by clinical cultures alone. Higher relative abundance of MDRO-associated OTUs and specific antibiotic exposures were independently associated with higher probability of MDRO detection by culture. CONCLUSIONS Admission and discharge surveillance cultures underestimated MDRO acquisitions in an ICU. These limitations should be considered when designing sampling strategies for epidemiologic studies that use culture-based surveillance.
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Affiliation(s)
- Sarah E Sansom
- Department of Internal Medicine, Division of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA
| | - Teppei Shimasaki
- Department of Internal Medicine, Division of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA
| | - Thelma Dangana
- Department of Internal Medicine, Division of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA
| | - Michael Y Lin
- Department of Internal Medicine, Division of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA
| | | | - Christine Fukuda
- Department of Internal Medicine, Division of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA
| | - Nicholas M Moore
- Department of Internal Medicine, Division of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA
| | - Rachel D Yelin
- Department of Internal Medicine, Division of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA
| | - Christine M Bassis
- Department of Internal Medicine, Division of Infectious Diseases, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Yoona Rhee
- Department of Internal Medicine, Division of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA
| | - Enrique Cornejo Cisneros
- Department of Internal Medicine, Division of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA
| | - Pamela Bell
- Department of Internal Medicine, Division of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA
| | - Karen Lolans
- Department of Internal Medicine, Division of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA
| | - Khaled Aboushaala
- Department of Internal Medicine, Division of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA
| | - Vincent B Young
- Department of Internal Medicine, Division of Infectious Diseases, University of Michigan Medical School, Ann Arbor, Michigan, USA
- Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Mary K Hayden
- Department of Internal Medicine, Division of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA
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Gussin GM, McKinnell JA, Singh RD, Miller LG, Kleinman K, Saavedra R, Tjoa T, Gohil SK, Catuna TD, Heim LT, Chang J, Estevez M, He J, O’Donnell K, Zahn M, Lee E, Berman C, Nguyen J, Agrawal S, Ashbaugh I, Nedelcu C, Robinson PA, Tam S, Park S, Evans KD, Shimabukuro JA, Lee BY, Fonda E, Jernigan JA, Slayton RB, Stone ND, Janssen L, Weinstein RA, Hayden MK, Lin MY, Peterson EM, Bittencourt CE, Huang SS. Reducing Hospitalizations and Multidrug-Resistant Organisms via Regional Decolonization in Hospitals and Nursing Homes. JAMA 2024; 331:1544-1557. [PMID: 38557703 PMCID: PMC10985619 DOI: 10.1001/jama.2024.2759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 02/16/2024] [Indexed: 04/04/2024]
Abstract
Importance Infections due to multidrug-resistant organisms (MDROs) are associated with increased morbidity, mortality, length of hospitalization, and health care costs. Regional interventions may be advantageous in mitigating MDROs and associated infections. Objective To evaluate whether implementation of a decolonization collaborative is associated with reduced regional MDRO prevalence, incident clinical cultures, infection-related hospitalizations, costs, and deaths. Design, Setting, and Participants This quality improvement study was conducted from July 1, 2017, to July 31, 2019, across 35 health care facilities in Orange County, California. Exposures Chlorhexidine bathing and nasal iodophor antisepsis for residents in long-term care and hospitalized patients in contact precautions (CP). Main Outcomes and Measures Baseline and end of intervention MDRO point prevalence among participating facilities; incident MDRO (nonscreening) clinical cultures among participating and nonparticipating facilities; and infection-related hospitalizations and associated costs and deaths among residents in participating and nonparticipating nursing homes (NHs). Results Thirty-five facilities (16 hospitals, 16 NHs, 3 long-term acute care hospitals [LTACHs]) adopted the intervention. Comparing decolonization with baseline periods among participating facilities, the mean (SD) MDRO prevalence decreased from 63.9% (12.2%) to 49.9% (11.3%) among NHs, from 80.0% (7.2%) to 53.3% (13.3%) among LTACHs (odds ratio [OR] for NHs and LTACHs, 0.48; 95% CI, 0.40-0.57), and from 64.1% (8.5%) to 55.4% (13.8%) (OR, 0.75; 95% CI, 0.60-0.93) among hospitalized patients in CP. When comparing decolonization with baseline among NHs, the mean (SD) monthly incident MDRO clinical cultures changed from 2.7 (1.9) to 1.7 (1.1) among participating NHs, from 1.7 (1.4) to 1.5 (1.1) among nonparticipating NHs (group × period interaction reduction, 30.4%; 95% CI, 16.4%-42.1%), from 25.5 (18.6) to 25.0 (15.9) among participating hospitals, from 12.5 (10.1) to 14.3 (10.2) among nonparticipating hospitals (group × period interaction reduction, 12.9%; 95% CI, 3.3%-21.5%), and from 14.8 (8.6) to 8.2 (6.1) among LTACHs (all facilities participating; 22.5% reduction; 95% CI, 4.4%-37.1%). For NHs, the rate of infection-related hospitalizations per 1000 resident-days changed from 2.31 during baseline to 1.94 during intervention among participating NHs, and from 1.90 to 2.03 among nonparticipating NHs (group × period interaction reduction, 26.7%; 95% CI, 19.0%-34.5%). Associated hospitalization costs per 1000 resident-days changed from $64 651 to $55 149 among participating NHs and from $55 151 to $59 327 among nonparticipating NHs (group × period interaction reduction, 26.8%; 95% CI, 26.7%-26.9%). Associated hospitalization deaths per 1000 resident-days changed from 0.29 to 0.25 among participating NHs and from 0.23 to 0.24 among nonparticipating NHs (group × period interaction reduction, 23.7%; 95% CI, 4.5%-43.0%). Conclusions and Relevance A regional collaborative involving universal decolonization in long-term care facilities and targeted decolonization among hospital patients in CP was associated with lower MDRO carriage, infections, hospitalizations, costs, and deaths.
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Affiliation(s)
- Gabrielle M. Gussin
- Division of Infectious Diseases, University of California Irvine School of Medicine, Irvine
| | - James A. McKinnell
- Division of Infectious Diseases, Lundquist Institute at Harbor-UCLA Medical Center, Torrance, California
| | - Raveena D. Singh
- Division of Infectious Diseases, University of California Irvine School of Medicine, Irvine
| | - Loren G. Miller
- Division of Infectious Diseases, Lundquist Institute at Harbor-UCLA Medical Center, Torrance, California
| | - Ken Kleinman
- Program in Biostatistics, University of Massachusetts Amherst School of Public Health and Health Sciences, Amherst
| | - Raheeb Saavedra
- Division of Infectious Diseases, University of California Irvine School of Medicine, Irvine
| | - Thomas Tjoa
- Division of Infectious Diseases, University of California Irvine School of Medicine, Irvine
| | - Shruti K. Gohil
- Division of Infectious Diseases, University of California Irvine School of Medicine, Irvine
| | - Tabitha D. Catuna
- Division of Infectious Diseases, University of California Irvine School of Medicine, Irvine
| | - Lauren T. Heim
- Division of Infectious Diseases, University of California Irvine School of Medicine, Irvine
| | - Justin Chang
- Division of Infectious Diseases, University of California Irvine School of Medicine, Irvine
| | - Marlene Estevez
- Division of Infectious Diseases, University of California Irvine School of Medicine, Irvine
| | - Jiayi He
- Division of Infectious Diseases, University of California Irvine School of Medicine, Irvine
| | - Kathleen O’Donnell
- Healthcare-Associated Infections Program, Center for Healthcare Quality, California Department of Public Health, Richmond
| | - Matthew Zahn
- Epidemiology and Assessment, Orange County Health Care Agency, Santa Ana, California
| | - Eunjung Lee
- Division of Infectious Diseases, University of California Irvine School of Medicine, Irvine
- Division of Infectious Diseases, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea
| | - Chase Berman
- Division of Infectious Diseases, University of California Irvine School of Medicine, Irvine
| | - Jenny Nguyen
- Division of Infectious Diseases, University of California Irvine School of Medicine, Irvine
| | - Shalini Agrawal
- Division of Infectious Diseases, University of California Irvine School of Medicine, Irvine
| | - Isabel Ashbaugh
- Division of Infectious Diseases, University of California Irvine School of Medicine, Irvine
| | - Christine Nedelcu
- Division of Infectious Diseases, University of California Irvine School of Medicine, Irvine
| | - Philip A. Robinson
- Division of Infectious Diseases, Hoag Hospital, Newport Beach, California
| | - Steven Tam
- Division of Geriatric Medicine and Gerontology, University of California Irvine Health, Orange
| | - Steven Park
- Division of Infectious Diseases, University of California Irvine School of Medicine, Irvine
| | - Kaye D. Evans
- Clinical Microbiology Laboratory, University of California Irvine Health, Orange
| | - Julie A. Shimabukuro
- Clinical Microbiology Laboratory, University of California Irvine Health, Orange
| | - Bruce Y. Lee
- PHICOR (Public Health Informatics Computational Operations Research), Department of Health Policy and Management, City University of New York Graduate School of Public Health, New York
| | | | - John A. Jernigan
- Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Rachel B. Slayton
- Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Nimalie D. Stone
- Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Lynn Janssen
- Healthcare-Associated Infections Program, Center for Healthcare Quality, California Department of Public Health, Richmond
| | - Robert A. Weinstein
- Division of Infectious Diseases, Department of Medicine, Rush University Medical Center, Chicago, Illinois
- Department of Medicine, Cook County Health and Hospitals System, Chicago, Illinois
| | - Mary K. Hayden
- Division of Infectious Diseases, Department of Medicine, Rush University Medical Center, Chicago, Illinois
| | - Michael Y. Lin
- Division of Infectious Diseases, Department of Medicine, Rush University Medical Center, Chicago, Illinois
| | - Ellena M. Peterson
- Department of Pathology and Laboratory Medicine, University of California Irvine Health, Orange
| | - Cassiana E. Bittencourt
- Department of Pathology and Laboratory Medicine, University of California Irvine Health, Orange
| | - Susan S. Huang
- Division of Infectious Diseases, University of California Irvine School of Medicine, Irvine
- Department of Epidemiology and Infection Prevention, University of California Irvine Health, Orange
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Guo B, Li P, Qin B, Wang S, Zhang W, Shi Y, Yang J, Niu J, Chen S, Chen X, Cui L, Fu Q, Guo L, Hou Z, Li H, Li X, Liu R, Liu X, Mao Z, Niu X, Qin C, Song X, Sun R, Sun T, Wang D, Wang Y, Xu L, Xu X, Yang Y, Zhang B, Zhou D, Li Z, Chen Y, Jin Y, Du J, Shao H. An analysis of differences in Carbapenem-resistant Enterobacterales in different regions: a multicenter cross-sectional study. BMC Infect Dis 2024; 24:116. [PMID: 38254025 PMCID: PMC10804584 DOI: 10.1186/s12879-024-09005-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Accepted: 01/09/2024] [Indexed: 01/24/2024] Open
Abstract
OBJECTIVE This study aimed to explore the characteristics of carbapenem-resistant Enterobacterales (CRE) patients in the intensive care unit (ICU) in different regions of Henan Province to provide evidence for the targeted prevention and treatment of CRE. METHODS This was a cross-sectional study. CRE screening was conducted in the ICUs of 78 hospitals in Henan Province, China, on March 10, 2021. The patients were divided into provincial capital hospitals and nonprovincial capital hospitals for comparative analysis. RESULTS This study involved 1009 patients in total, of whom 241 were CRE-positive patients, 92 were in the provincial capital hospital and 149 were in the nonprovincial capital hospital. Provincial capital hospitals had a higher rate of CRE positivity, and there was a significant difference in the rate of CRE positivity between the two groups. The body temperature; immunosuppressed state; transfer from the ICU to other hospitals; and use of enemas, arterial catheters, carbapenems, or tigecycline at the provincial capital hospital were greater than those at the nonprovincial capital hospital (P < 0.05). However, there was no significant difference in the distribution of carbapenemase strains or enzymes between the two groups. CONCLUSIONS The detection rate of CRE was significantly greater in provincial capital hospitals than in nonprovincial capital hospitals. The source of the patients, invasive procedures, and use of advanced antibiotics may account for the differences. Carbapenem-resistant Klebsiella pneumoniae (CR-KPN) was the most prevalent strain. Klebsiella pneumoniae carbapenemase (KPC) was the predominant carbapenemase enzyme. The distributions of carbapenemase strains and enzymes were similar in different regions.
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Affiliation(s)
- Bo Guo
- Department of Critical Care Medicine, Henan Key Laboratory for Critical Care Medicine, Zhengzhou Key Laboratory for Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, Henan, China
| | - Peili Li
- Department of Public Utilities Development, Henan Provincial People's Hospital, Zhengzhou, China
| | - Bingyu Qin
- Department of Critical Care Medicine, Henan Key Laboratory for Critical Care Medicine, Zhengzhou Key Laboratory for Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, Henan, China
| | - Shanmei Wang
- Department of Microbiology Laboratory, Henan Provincial People's Hospital, Zhengzhou, China
| | - Wenxiao Zhang
- Department of Critical Care Medicine, Henan Key Laboratory for Critical Care Medicine, Zhengzhou Key Laboratory for Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, Henan, China
| | - Yuan Shi
- Department of Critical Care Medicine, Henan Key Laboratory for Critical Care Medicine, Zhengzhou Key Laboratory for Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, Henan, China
| | - Jianxu Yang
- Department of Critical Care Medicine, Henan Key Laboratory for Critical Care Medicine, Zhengzhou Key Laboratory for Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, Henan, China
| | - Jingjing Niu
- Department of Critical Care Medicine, Henan Key Laboratory for Critical Care Medicine, Zhengzhou Key Laboratory for Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, Henan, China
| | - Shifeng Chen
- Department of Critical Care Medicine, The Second People's Hospital of Pingdingshan City, Pingdingshan, China
| | - Xiao Chen
- Department of Critical Care Medicine, Nanyang Nanshi Hospital, Nanyang, China
| | - Lin Cui
- Department of Critical Care Medicine, Yellow River Central Hospital, Zhengzhou, China
| | - Qizhi Fu
- Department of Critical Care Medicine, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, China
| | - Lin Guo
- Department of Critical Care Medicine, The Seventh People's Hospital of Zhengzhou, Zhengzhou, China
| | - Zhe Hou
- Department of Critical Care Medicine, Zhengzhou Orthopedic Hospital, Zhengzhou, China
| | - Hua Li
- Department of Critical Care Medicine, Henan Provincial Hospital of Traditional Chinese Medicine, Zhengzhou, China
| | - Xiaohui Li
- Department of Critical Care Medicine, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China
| | - Ruifang Liu
- Department of Critical Care Medicine, The Third People's Hospital of Henan Province, Zhengzhou, China
| | - Xiaojun Liu
- Department of Critical Care Medicine, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhengrong Mao
- Department of Critical Care Medicine, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China
| | - Xingguo Niu
- Department of Critical Care Medicine, Zhengzhou People's Hospital, Zhengzhou, 450000, China
| | - Chao Qin
- Department of Critical Care Medicine, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xianrong Song
- Department of Critical Care Medicine, Henan Provincial Chest Hospital, Zhengzhou, China
| | - Rongqing Sun
- Department of Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Tongwen Sun
- Department of Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Daoxie Wang
- Department of Critical Care Medicine, The Third People's Hospital of Zhengzhou, Zhengzhou, China
| | - Yong Wang
- Department of Critical Care Medicine, Huaihe Hospital of Henan University, Kaifeng, China
| | - Lanjuan Xu
- Department of Critical Care Medicine, Zhengzhou Central Hospital, Zhengzhou, China
| | - Xin Xu
- Department of Critical Care Medicine, The First Affiliated Hospital of Henan University, Kaifeng, China
| | - Yuejie Yang
- Department of Critical Care Medicine, The Sixth People's Hospital of Zhengzhou, Zhengzhou, China
| | - Baoquan Zhang
- Department of Critical Care Medicine, The Third Affiliated Hospital of Xinxiang Medical College, Xinxiang, China
| | - Dongmin Zhou
- Department of Critical Care Medicine, Henan Cancer Hospital, Zhengzhou, China
| | - Zhaozhen Li
- Department of Critical Care Medicine, Henan Provincial Chest Hospital, Zhengzhou, China
| | - Yinyin Chen
- Department of Critical Care Medicine, Henan Key Laboratory for Critical Care Medicine, Zhengzhou Key Laboratory for Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, Henan, China
| | - Yue Jin
- Department of Critical Care Medicine, Henan Key Laboratory for Critical Care Medicine, Zhengzhou Key Laboratory for Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, Henan, China
| | - Juan Du
- Department of Critical Care Medicine, Henan Key Laboratory for Critical Care Medicine, Zhengzhou Key Laboratory for Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, Henan, China
| | - Huanzhang Shao
- Department of Critical Care Medicine, Henan Key Laboratory for Critical Care Medicine, Zhengzhou Key Laboratory for Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, Henan, China.
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Park SH, Yi Y, Suh W, Ji SK, Han E, Shin S. The impact of enhanced screening for carbapenemase-producing Enterobacterales in an acute care hospital in South Korea. Antimicrob Resist Infect Control 2023; 12:62. [PMID: 37400884 DOI: 10.1186/s13756-023-01270-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 06/23/2023] [Indexed: 07/05/2023] Open
Abstract
BACKGROUND Carbapenemase-producing Enterobacterales (CPE) poses a significant challenge to infection control in healthcare settings. Active screening is recommended to prevent intra-hospital CPE transmission. METHODS CPE screening was initiated at a 660-bed hospital in South Korea in September 2018, targeting patients previously colonized/infected or admitted to outside healthcare facilities (HCFs) within 1 month. Universal intensive care unit (ICU) screening was performed at the time of admission. After a hospital-wide CPE outbreak in July-September 2019, the screening program was enhanced by extending the indications (admission to any HCF within 6 months, receipt of hemodialysis) with weekly screening of ICU patients. The initial screening method was changed from screening cultures to the Xpert Carba-R assay. The impact was assessed by comparing the CPE incidence per 1000 admissions before (phase 1, September 2018-August 2019) and after instituting the enhanced screening program (phase 2, September 2019-December 2020). RESULTS A total of 13,962 (2,149 and 11,813 in each phase) were screened as indicated, among 49,490 inpatients, and monthly screening compliance increased from 18.3 to 93.5%. Compared to phase 1, the incidence of screening positive patients increased from 1.2 to 2.3 per 1,000 admissions (P = 0.005) during phase 2. The incidence of newly detected CPE patients was similar (3.1 vs. 3.4, P = 0.613) between two phases, but the incidence of hospital-onset CPE patients decreased (1.9 vs. 1.1, P = 0.018). A significant decrease was observed (0.5 to 0.1, P = 0.014) in the incidence of patients who first confirmed CPE positive through clinical cultures without a preceding positive screening. Compared to phase 1, the median exposure duration and number of CPE contacts were also markedly reduced in phase 2: 10.8 days vs. 1 day (P < 0.001) and 11 contacts vs. 1 contact (P < 0.001), respectively. During phase 2, 42 additional patients were identified by extending the admission screening indications (n = 30) and weekly in-ICU screening (n = 12). CONCLUSIONS The enhanced screening program enabled us to identify previously unrecognized CPE patients in a rapid manner and curtailed a hospital-wide CPE outbreak. As CPE prevalence increases, risk factors for CPE colonization can broaden, and hospital prevention strategies should be tailored to the changing local CPE epidemiology.
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Affiliation(s)
- Sun Hee Park
- Infection Prevention and Control Unit, Daejeon St. Mary's Hospital, The Catholic University of Korea, Daejeon, Republic of Korea.
- Division of Infectious Diseases, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
- Vaccine Bio Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
- The Catholic University of Korea, Eunpyeong St. Mary's Hospital, 93-19 Jingwan-dong, Eunpyeong-gu, Seoul, Republic of Korea.
| | - Yunmi Yi
- Infection Prevention and Control Unit, Daejeon St. Mary's Hospital, The Catholic University of Korea, Daejeon, Republic of Korea
- Division of Infectious Diseases, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Woosuck Suh
- Infection Prevention and Control Unit, Daejeon St. Mary's Hospital, The Catholic University of Korea, Daejeon, Republic of Korea
- Department of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Seul Ki Ji
- Infection Prevention and Control Unit, Daejeon St. Mary's Hospital, The Catholic University of Korea, Daejeon, Republic of Korea
| | - Eunhee Han
- Infection Prevention and Control Unit, Daejeon St. Mary's Hospital, The Catholic University of Korea, Daejeon, Republic of Korea
- Department of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Soyoung Shin
- Infection Prevention and Control Unit, Daejeon St. Mary's Hospital, The Catholic University of Korea, Daejeon, Republic of Korea
- Department of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
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5
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Regional transmission patterns of carbapenemase-producing Enterobacterales: A healthcare network analysis. Infect Control Hosp Epidemiol 2023; 44:453-459. [PMID: 35450553 DOI: 10.1017/ice.2022.102] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Carbapenem-resistant Enterobacterales (CRE) pose a serious public health threat and spread rapidly between healthcare facilities (HCFs) during interfacility patient movement. We examined patterns of transmission of CRE associated with network clustering and positions during patient interfacility transfer. METHODS A retrospective cohort study was conducted in the Greater Houston region ofTexas, , and social network analysis was performed by constructing facility-to-facility patient transfer network using CRE surveillance data. The network method (community detection algorithm) was used to detect clustering patterns of CRE in the network. In addition, network measures of centrality and local connectivity (clustering coefficient) were computed for each healthcare facility. Zero-inflated negative binomial regression analysis was applied to test the association between network measures and facility-specific incidence rate of CRE. RESULTS A network of 268 healthcare facilities was identified, in which 10 acute-care hospitals (ACHs) alone accounted for 63% of identified CRE cases. Transmission of New Delhi metallo-β-lactamase-producing CRE occurred in 3 clusters, yet all cases were traced to patients who had had medical care abroad. The incidence rate of CRE attributed to ACHs was >4-fold (adjusted rate ratio, 4.5; 95% confidence interval [CI], 3.02-6.72) higher than that of long-term care facilities. Each additional patient shared with another HCF conferred a 3% (95% CI, 2%-4%) increase in the incidence rate of CRE at that HCF. CONCLUSIONS The incidence rates of CRE at a given HCF was predicted by the healthcare network metrics. Increased surveillance and selective targeting of high-risk facilities are warranted.
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Yuan W, Xu J, Guo L, Chen Y, Gu J, Zhang H, Yang C, Yang Q, Deng S, Zhang L, Deng Q, Wang Z, Ling B, Deng D. Clinical Risk Factors and Microbiological and Intestinal Characteristics of Carbapenemase-Producing Enterobacteriaceae Colonization and Subsequent Infection. Microbiol Spectr 2022; 10:e0190621. [PMID: 36445086 PMCID: PMC9769896 DOI: 10.1128/spectrum.01906-21] [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: 10/13/2021] [Accepted: 10/24/2022] [Indexed: 12/03/2022] Open
Abstract
Gastrointestinal colonization with carbapenem-resistant Enterobacteriaceae (CRE) is always a prerequisite for the development of translocated infections. Here, we sought to screen for fecal carriage of CRE and identify the risk factors for CRE colonization as well as subsequent translocated pneumonia in critically ill patients admitted to the intensive care unit (ICU) of a university hospital in China. We further focused on the intestinal flora composition and fecal metabolic profiles in CRE rectal colonization and translocated infection patients. Animal models of gastrointestinal colonization with a carbapenemase-producing Klebsiella pneumoniae (carbapenem-resistant K. pneumoniae [CRKP]) clinical isolate expressing green fluorescent protein (GFP) were established, and systemic infection was subsequently traced using an in vivo imaging system (IVIS). The intestinal barrier, inflammatory factors, and infiltrating immune cells were further investigated. In this study, we screened 54 patients hospitalized in the ICU with CRE rectal colonization, and 50% of the colonized patients developed CRE-associated pneumonia, in line with the significantly high mortality rate. Upon multivariate analysis, risk factors associated with subsequent pneumonia caused by CRE in patients with fecal colonization included enteral feeding and carbapenem exposure. Furthermore, CRKP colonization and translocated infection influenced the diversity and community composition of the intestinal microbiome. Downregulated propionate and butyrate probably play important and multiangle roles in regulating immune cell infiltration, inflammatory factor expression, and mucus and intestinal epithelial barrier integrity. Although the risk factors and intestinal biomarkers for subsequent infections among CRE-colonized patients were explored, further work is needed to elucidate the complicated mechanisms. IMPORTANCE Carbapenem-resistant Enterobacteriaceae have emerged as a major threat to modern medicine, and the spread of carbapenem-resistant Enterobacteriaceae is a clinical and public health problem. Gastrointestinal colonization by potential pathogens is always a prerequisite for the development of translocated infections, and there is a growing need to assess clinical risk factors and microbiological and intestinal characteristics to prevent the development of clinical infection by carbapenem-resistant Enterobacteriaceae.
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Affiliation(s)
- Wenli Yuan
- Department of Clinical Laboratory, The Affiliated Hospital of Yunnan University (The Second Hospital of Yunnan Province), Kunming, Yunnan Province, China
| | - Jiali Xu
- Department of Clinical Laboratory, The Affiliated Hospital of Yunnan University (The Second Hospital of Yunnan Province), Kunming, Yunnan Province, China
- Department of Clinical Laboratory, The First Affiliated Hospital of Dali University, Dali, Yunnan Province, China
| | - Lin Guo
- Intensive Care Union, The Affiliated Hospital of Yunnan University (The Second Hospital of Yunnan Province), Kunming, Yunnan Province, China
| | - Yonghong Chen
- State Key Laboratory for Conservation and Utilization of Bio-Resources, Key Laboratory for Microbial Resources of the Ministry of Education, School of Life Sciences, Yunnan University, Kunming, Yunnan Province, China
| | - Jinyi Gu
- Department of Clinical Laboratory, The Affiliated Hospital of Yunnan University (The Second Hospital of Yunnan Province), Kunming, Yunnan Province, China
| | - Huan Zhang
- Department of Clinical Laboratory, The Affiliated Hospital of Yunnan University (The Second Hospital of Yunnan Province), Kunming, Yunnan Province, China
| | - Chenghang Yang
- Intensive Care Union, The Affiliated Hospital of Yunnan University (The Second Hospital of Yunnan Province), Kunming, Yunnan Province, China
| | - Qiuping Yang
- Department of Clinical Laboratory, The Affiliated Hospital of Yunnan University (The Second Hospital of Yunnan Province), Kunming, Yunnan Province, China
| | - Shuwen Deng
- Department of Clinical Laboratory, The Affiliated Hospital of Yunnan University (The Second Hospital of Yunnan Province), Kunming, Yunnan Province, China
| | - Longlong Zhang
- State Key Laboratory for Conservation and Utilization of Bio-Resources, Key Laboratory for Microbial Resources of the Ministry of Education, School of Life Sciences, Yunnan University, Kunming, Yunnan Province, China
| | - Qiongfang Deng
- Intensive Care Union, The Affiliated Hospital of Yunnan University (The Second Hospital of Yunnan Province), Kunming, Yunnan Province, China
| | - Zi Wang
- Department of Clinical Pharmacy, The Affiliated Hospital of Yunnan University (The Second Hospital of Yunnan Province), Kunming, Yunnan Province, China
| | - Bin Ling
- Intensive Care Union, The Affiliated Hospital of Yunnan University (The Second Hospital of Yunnan Province), Kunming, Yunnan Province, China
| | - Deyao Deng
- Department of Clinical Laboratory, The Affiliated Hospital of Yunnan University (The Second Hospital of Yunnan Province), Kunming, Yunnan Province, China
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7
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Arzilli G, Scardina G, Casigliani V, Petri D, Porretta A, Moi M, Lucenteforte E, Rello J, Lopalco P, Baggiani A, Privitera GP, Tavoschi L. Screening for Antimicrobial-Resistant Gram-negative bacteria in hospitalised patients, and risk of progression from colonisation to infection: Systematic review. J Infect 2021; 84:119-130. [PMID: 34793762 DOI: 10.1016/j.jinf.2021.11.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 10/26/2021] [Accepted: 11/10/2021] [Indexed: 01/18/2023]
Abstract
BACKGROUND Transmission of antimicrobial-resistant Gram-negative bacteria (AMR-GNB) among hospitalised patients can lead to new cases of carriage, infection and outbreaks, hence the need for early carrier identification. We aim to explore two key elements that may guide control policies for colonisation/infection in hospital settings: screening practices on admission to hospital wards and risk of developing infection from colonisation. METHODS We searched on PubMed, Scopus and Cochrane databases for studies published from 2010 up to 2021 reporting on adult patients hospitalised in high-income countries. RESULTS The search retrieved 11853 articles. After screening, 100 studies were included. Combining target patient groups and setting type, we identified six screening approaches. The most reported approach was all admitted patients to high-risk (HR) wards (49.4%). The overall prevalence of AMR-GNB was 13.8% (95%CI 9.3-19.0) with significant differences across regions and time. Risk of progression to infection among colonised patients was 11.0% (95%CI 8.0-14.3) and varied according to setting and pathogens' group (p value<0.0001), with higher values reported for Klebsiella species (18.1%; 95%CI 8.9-29.3). CONCLUSIONS While providing a comprehensive overview of the screening approaches, our study underlines the considerable burden of AMR-GNB colonisation and risk of progression to infection in hospitals by pathogen, setting and time.
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Affiliation(s)
- Guglielmo Arzilli
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa 56123, Italy
| | - Giuditta Scardina
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa 56123, Italy
| | - Virginia Casigliani
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa 56123, Italy
| | - Davide Petri
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa 56123, Italy
| | - Andrea Porretta
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa 56123, Italy; University Hospital of Pisa, Pisa 56123, Italy.
| | - Marco Moi
- Department of Surgical Sciences, University of Cagliari, Cagliari 09124, Italy
| | - Ersilia Lucenteforte
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa 56123, Italy
| | - Jordi Rello
- Centro de Investigación en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain; Clinical Research/epidemiology In Pneumonia & Sepsis (CRIPS), Vall d'Hebron Institute of Research (VHIR), Barcelona, Spain; Clinical Research, CHU Nîmes, Nîmes, France
| | - Pierluigi Lopalco
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa 56123, Italy
| | - Angelo Baggiani
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa 56123, Italy; University Hospital of Pisa, Pisa 56123, Italy
| | - Gaetano Pierpaolo Privitera
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa 56123, Italy; University Hospital of Pisa, Pisa 56123, Italy
| | - Lara Tavoschi
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa 56123, Italy
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8
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Seo SM, Jeong IS. [External Validation of Carbapenem-Resistant Enterobacteriaceae Acquisition Risk Prediction Model in a Medium Sized Hospital]. J Korean Acad Nurs 2021; 50:621-630. [PMID: 32895347 DOI: 10.4040/jkan.20137] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 07/29/2020] [Accepted: 07/30/2020] [Indexed: 12/16/2022]
Abstract
PURPOSE This study was aimed to evaluate the external validity of a carbapenem-resistant Enterobacteriaceae (CRE) acquisition risk prediction model (the CREP-model) in a medium-sized hospital. METHODS This retrospective cohort study included 613 patients (CRE group: 69, no-CRE group: 544) admitted to the intensive care units of a 453-beds secondary referral general hospital from March 1, 2017 to September 30, 2019 in South Korea. The performance of the CREP-model was analyzed with calibration, discrimination, and clinical usefulness. RESULTS The results showed that those higher in age had lower presence of multidrug resistant organisms (MDROs), cephalosporin use ≥ 15 days, Acute Physiology and Chronic Health Evaluation II (APACHE II) score ≥ 21 points, and lower CRE acquisition rates than those of CREP-model development subjects. The calibration-in-the-large was 0.12 (95% CI: - 0.16~0.39), while the calibration slope was 0.87 (95% CI: 0.63~1.12), and the concordance statistic was .71 (95% CI: .63~.78). At the predicted risk of .10, the sensitivity, specificity, and correct classification rates were 43.5%, 84.2%, and 79.6%, respectively. The net true positive according to the CREP-model were 3 per 100 subjects. After adjusting the predictors' cutting points, the concordance statistic increased to .84 (95% CI: .79~.89), and the sensitivity and net true positive was improved to 75.4%. and 6 per 100 subjects, respectively. CONCLUSION The CREP-model's discrimination and clinical usefulness are low in a medium sized general hospital but are improved after adjusting for the predictors. Therefore, we suggest that institutions should only use the CREP-model after assessing the distribution of the predictors and adjusting their cutting points.
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Affiliation(s)
- Su Min Seo
- Infection Control Unit, Dongeui Medical Center, Busan, Korea
| | - Ihn Sook Jeong
- College of Nursing, Pusan National University, Yangsan, Korea.
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9
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Goedken CC, Guihan M, Brown CR, Ramanathan S, Vivo A, Suda KJ, Fitzpatrick MA, Poggensee L, Perencevich EN, Rubin M, Reisinger HS, Evans M, Evans CT. Evaluation of carbapenem-resistant Enterobacteriaceae (CRE) guideline implementation in the Veterans Affairs Medical Centers using the consolidated framework for implementation research. Implement Sci Commun 2021; 2:69. [PMID: 34187592 PMCID: PMC8243642 DOI: 10.1186/s43058-021-00170-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 06/08/2021] [Indexed: 12/31/2022] Open
Abstract
Background Infections caused by carbapenem-resistant Enterobacteriaceae (CRE) and carbapenemase-producing (CP) CRE are difficult to treat, resulting in high mortality in healthcare settings every year. The Veterans Health Administration (VHA) disseminated guidelines in 2015 and an updated directive in 2017 for control of CRE focused on laboratory testing, prevention, and management. The Consolidated Framework for Implementation Research (CFIR) framework was used to analyze qualitative interview data to identify contextual factors and best practices influencing implementation of the 2015 guidelines/2017 directive in VA Medical Centers (VAMCs). The overall goals were to determine CFIR constructs to target to improve CRE guideline/directive implementation and understand how CFIR, as a multi-level conceptual model, can be used to inform guideline implementation. Methods Semi-structured interviews were conducted at 29 VAMCs with staff involved in implementing CRE guidelines at their facility. Survey and VHA administrative data were used to identify geographically representative large and small VAMCs with varying levels of CRE incidence. Interviews addressed perceptions of guideline dissemination, laboratory testing, staff attitudes and training, patient education, and technology support. Participant responses were coded using a consensus-based mixed deductive-inductive approach guided by CFIR. A quantitative analysis comparing qualitative CFIR constructs and emergent codes to sites actively screening for CRE (vs. non-screening) and any (vs. no) CRE-positive cultures was conducted using Fisher’s exact test. Results Forty-three semi-structured interviews were conducted between October 2017 and August 2018 with laboratory staff (47%), Multi-Drug-Resistant Organism Program Coordinators (MPCs, 35%), infection preventionists (12%), and physicians (6%). Participants requested more standardized tools to promote effective communication (e.g., electronic screening). Participants also indicated that CRE-specific educational materials were needed for staff, patient, and family members. Quantitative analysis identified CRE screening or presence of CRE as being significantly associated with the following qualitative CFIR constructs: leadership engagement, relative priority, available resources, team communication, and access to knowledge and information. Conclusions Effective CRE identification, prevention, and treatment require ongoing collaboration between clinical, microbiology, infection prevention, antimicrobial stewardship, and infectious diseases specialists. Our results emphasize the importance of leadership’s role in promoting positive facility culture, including access to resources, improving communication, and facilitating successful implementation of the CRE guidelines. Supplementary Information The online version contains supplementary material available at 10.1186/s43058-021-00170-5.
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Affiliation(s)
- Cassie Cunningham Goedken
- Center for Access Delivery & Research and Evaluation (CADRE) Center, Iowa City VA Health Care System, 152, 601 Highway 6 West, Iowa City, IA, 52246, USA.
| | - Marylou Guihan
- Center of Innovation for Complex Chronic Healthcare (CINCCH), Edward Hines Jr. VA Hospital, Hines, IL, USA.,Department of Physical Medicine and Rehabilitation, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | - Swetha Ramanathan
- Center of Innovation for Complex Chronic Healthcare (CINCCH), Edward Hines Jr. VA Hospital, Hines, IL, USA
| | - Amanda Vivo
- Center of Innovation for Complex Chronic Healthcare (CINCCH), Edward Hines Jr. VA Hospital, Hines, IL, USA
| | - Katie J Suda
- Center for Health Equity Research and Promotion (CHERP), VA Pittsburgh Health Care System, Pittsburgh, PA, USA.,Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Margaret A Fitzpatrick
- Center of Innovation for Complex Chronic Healthcare (CINCCH), Edward Hines Jr. VA Hospital, Hines, IL, USA.,Department of Medicine, Division of Infectious Diseases, Loyola University Chicago Stritch School of Medicine, Maywood, IL, USA
| | - Linda Poggensee
- Center of Innovation for Complex Chronic Healthcare (CINCCH), Edward Hines Jr. VA Hospital, Hines, IL, USA
| | - Eli N Perencevich
- Center for Access Delivery & Research and Evaluation (CADRE) Center, Iowa City VA Health Care System, 152, 601 Highway 6 West, Iowa City, IA, 52246, USA.,University of Iowa, Carver College of Medicine, Iowa City, IA, USA
| | - Michael Rubin
- Department of Veterans Affairs, VA Salt Lake City Healthcare System, Salt Lake City, UT, USA.,Department of Medicine, Division of Epidemiology, University of Utah, Salt Lake City, UT, USA
| | - Heather Schacht Reisinger
- Center for Access Delivery & Research and Evaluation (CADRE) Center, Iowa City VA Health Care System, 152, 601 Highway 6 West, Iowa City, IA, 52246, USA.,University of Iowa, Carver College of Medicine, Iowa City, IA, USA.,Institute for Clinical and Translational Science, Iowa City, IA, USA
| | - Martin Evans
- Department of Veterans Affairs, Lexington VA Medical Center, Lexington, KY, USA.,VHA MRSA/MDRO Program Office, Lexington VA Medical Center, Lexington, KY, USA.,University of Kentucky School of Medicine, Lexington, KY, USA
| | - Charlesnika T Evans
- Center of Innovation for Complex Chronic Healthcare (CINCCH), Edward Hines Jr. VA Hospital, Hines, IL, USA.,Center for Healthcare Studies and Department of Preventive Medicine Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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10
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A survey of infection control strategies for carbapenem-resistant Enterobacteriaceae in Department of Veterans' Affairs facilities. Infect Control Hosp Epidemiol 2020; 43:939-942. [PMID: 32959749 DOI: 10.1017/ice.2020.328] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
A survey of Veterans' Affairs Medical Centers on control of carbapenem-resistant Enterobacteriaceae (CRE) and carbapenem-producing CRE (CP-CRE) demonstrated that most facilities use VA guidelines but few screen for CRE/CP-CRE colonization regularly or regularly communicate CRE/CP-CRE status at patient transfer. Most respondents were knowledgeable about CRE guidelines but cited lack of adequate resources.
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11
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Fridkin SK. Advances in Data-Driven Responses to Preventing Spread of Antibiotic Resistance Across Health-Care Settings. Epidemiol Rev 2020; 41:6-12. [PMID: 31673712 DOI: 10.1093/epirev/mxz010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Revised: 05/08/2019] [Accepted: 09/13/2019] [Indexed: 12/25/2022] Open
Abstract
Among the most urgent and serious threats to public health are 7 antibiotic-resistant bacterial infections predominately acquired during health-care delivery. There is an emerging field of health-care epidemiology that is focused on preventing health care-associated infections with antibiotic-resistant bacteria and incorporates data from patient transfers or patient movements within and between facilities. This analytic field is being used to help public health professionals identify best opportunities for prevention. Different analytic approaches that draw on uses of big data are being explored to help target the use of limited public health resources, leverage expertise, and enact effective policy to maximize an impact on population-level health. Here, the following recent advances in data-driven responses to preventing spread of antibiotic resistance across health-care settings are summarized: leveraging big data for machine learning, integration or advances in tracking patient movement, and highlighting the value of coordinating response across institutions within a region.
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Affiliation(s)
- Scott K Fridkin
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia.,Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
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12
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A Pilot Study of Chicago Waterways as Reservoirs of Multidrug-Resistant Enterobacteriaceae (MDR-Ent) in a High-Risk Region for Community-Acquired MDR-Ent Infection in Children. Antimicrob Agents Chemother 2020; 64:AAC.02310-19. [PMID: 32015040 DOI: 10.1128/aac.02310-19] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 01/23/2020] [Indexed: 11/20/2022] Open
Abstract
Community-acquired multidrug resistant Enterobacteriaceae (MDR-Ent) infections continue to increase in the United States. In prior studies, we identified neighboring regions in Chicago, Illinois, where children have 5 to 6 times greater odds of MDR-Ent infections. To prevent community spread of MDR-Ent, we need to identify the MDR-Ent reservoirs. A pilot study of 4 Chicago waterways for MDR-Ent and associated antibiotic resistance genes (ARGs) was conducted. Three waterways (A1 to A3) are labeled safe for "incidental contact recreation" (e.g., kayaking), and A4 is a nonrecreational waterway that carries nondisinfected water. Surface water samples were collected and processed for standard bacterial culture and shotgun metagenomic sequencing. Generally, A3 and A4 (neighboring waterways which are not hydraulically connected) were strikingly similar in bacterial taxa, ARG profiles, and abundances of corresponding clades and genera within the Enterobacteriaceae Additionally, total ARG abundances recovered from the full microbial community were strongly correlated between A3 and A4 (R 2 = 0.97). Escherichia coli numbers (per 100 ml water) were highest in A4 (783 most probable number [MPN]) and A3 (200 MPN) relative to A2 (84 MPN) and A1 (32 MPN). We found concerning ARGs in Enterobacteriaceae such as MCR-1 (colistin), Qnr and OqxA/B (quinolones), CTX-M, OXA and ACT/MIR (beta-lactams), and AAC (aminoglycosides). We found significant correlations in microbial community composition between nearby waterways that are not hydraulically connected, suggesting cross-seeding and the potential for mobility of ARGs. Enterobacteriaceae and ARG profiles support the hypothesized concerns that recreational waterways are a potential source of community-acquired MDR-Ent.
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13
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Lin MY, Ray MJ, Rezny S, Runningdeer E, Weinstein RA, Trick WE. Predicting Carbapenem-Resistant Enterobacteriaceae Carriage at the Time of Admission Using a Statewide Hospital Discharge Database. Open Forum Infect Dis 2019; 6:ofz483. [PMID: 32128328 PMCID: PMC7047960 DOI: 10.1093/ofid/ofz483] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2019] [Accepted: 11/07/2019] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Timely identification of patients likely to harbor carbapenem-resistant Enterobacteriaceae (CRE) can help health care facilities provide effective infection control and treatment. We evaluated whether a model utilizing prior health care information from a state hospital discharge database could predict a patient's probability of CRE colonization at the time of hospital admission. METHODS We performed a case-control study using the Illinois hospital discharge database. From a 2014-2015 patient cohort, we defined cases as index adult patient hospital encounters with a positive CRE culture collected within the first 3 days of hospitalization, as reported to the Illinois XDRO registry; controls were all patient admissions from the same hospital and month. We split the data into training (~60%) and validation (~40%) sets and developed a logistic regression model to estimate coefficients for predictors of interest. RESULTS We identified 486 index cases and 340 005 controls. Independent risk factors for CRE at the time of admission were age, number of short-term acute care hospital (STACH) hospitalizations in the prior 365 days, mean STACH length of stay, number of long-term acute care hospital (LTACH) hospitalizations in the prior 365 days, mean LTACH length of stay, current admission to LTACH, and prior hospital admission with an infection diagnosis code. When applying the model to the validation data set, the area under the receiver operating characteristic curve was 0.84. CONCLUSIONS A prediction model utilizing prior health care exposure information could discriminate patients who were likely to harbor CRE at the time of hospital admission.
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Affiliation(s)
- Michael Y Lin
- Department of Medicine, Rush University Medical Center, Chicago, Illinois, USA
| | - Michael J Ray
- Department of Medicine, Cook County Health, Chicago, Illinois, USA
| | - Serena Rezny
- Illinois Department of Public Health, Chicago, Illinois, USA
| | | | - Robert A Weinstein
- Department of Medicine, Rush University Medical Center, Chicago, Illinois, USA
- Department of Medicine, Cook County Health, Chicago, Illinois, USA
| | - William E Trick
- Department of Medicine, Rush University Medical Center, Chicago, Illinois, USA
- Department of Medicine, Cook County Health, Chicago, Illinois, USA
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14
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Goodman KE, Simner PJ, Klein EY, Kazmi AQ, Gadala A, Toerper M, Levin S, Tamma PD, Rock C, Cosgrove SE, Maragakis LL, Milstone AM. Predicting probability of perirectal colonization with carbapenem-resistant Enterobacteriaceae (CRE) and other carbapenem-resistant organisms (CROs) at hospital unit admission. Infect Control Hosp Epidemiol 2019; 40:541-550. [PMID: 30915928 PMCID: PMC6613376 DOI: 10.1017/ice.2019.42] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND Targeted screening for carbapenem-resistant organisms (CROs), including carbapenem-resistant Enterobacteriaceae (CRE) and carbapenemase-producing organisms (CPOs), remains limited; recent data suggest that existing policies miss many carriers. OBJECTIVE Our objective was to measure the prevalence of CRO and CPO perirectal colonization at hospital unit admission and to use machine learning methods to predict probability of CRO and/or CPO carriage. METHODS We performed an observational cohort study of all patients admitted to the medical intensive care unit (MICU) or solid organ transplant (SOT) unit at The Johns Hopkins Hospital between July 1, 2016 and July 1, 2017. Admission perirectal swabs were screened for CROs and CPOs. More than 125 variables capturing preadmission clinical and demographic characteristics were collected from the electronic medical record (EMR) system. We developed models to predict colonization probabilities using decision tree learning. RESULTS Evaluating 2,878 admission swabs from 2,165 patients, we found that 7.5% and 1.3% of swabs were CRO and CPO positive, respectively. Organism and carbapenemase diversity among CPO isolates was high. Despite including many characteristics commonly associated with CRO/CPO carriage or infection, overall, decision tree models poorly predicted CRO and CPO colonization (C statistics, 0.57 and 0.58, respectively). In subgroup analyses, however, models did accurately identify patients with recent CRO-positive cultures who use proton-pump inhibitors as having a high likelihood of CRO colonization. CONCLUSIONS In this inpatient population, CRO carriage was infrequent but was higher than previously published estimates. Despite including many variables associated with CRO/CPO carriage, models poorly predicted colonization status, likely due to significant host and organism heterogeneity.
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Affiliation(s)
- Katherine E. Goodman
- Johns Hopkins University Bloomberg School of Public Health, Department of Epidemiology, Baltimore, MD
| | - Patricia J. Simner
- Johns Hopkins University School of Medicine, Department of Pathology, Division of Medical Microbiology, Baltimore, MD
| | - Eili Y. Klein
- Johns Hopkins University Bloomberg School of Public Health, Department of Epidemiology, Baltimore, MD
- Johns Hopkins University School of Medicine, Department of Emergency Medicine, Baltimore, MD
- The Center for Disease Dynamics, Economics & Policy, Washington, D.C
| | - Abida Q. Kazmi
- Johns Hopkins University School of Medicine, Department of Pathology, Division of Medical Microbiology, Baltimore, MD
| | - Avinash Gadala
- The Johns Hopkins Health System, Department of Hospital Epidemiology and Infection Control, Baltimore, MD
| | - Matthew Toerper
- Johns Hopkins University School of Medicine, Department of Emergency Medicine, Baltimore, MD
| | - Scott Levin
- Johns Hopkins University School of Medicine, Department of Emergency Medicine, Baltimore, MD
| | - Pranita D. Tamma
- The Johns Hopkins Health System, Department of Hospital Epidemiology and Infection Control, Baltimore, MD
- Johns Hopkins University School of Medicine, Department of Pediatrics, Division of Infectious Diseases, Baltimore, MD
| | - Clare Rock
- The Johns Hopkins Health System, Department of Hospital Epidemiology and Infection Control, Baltimore, MD
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Diseases, Baltimore, MD
| | - Sara E. Cosgrove
- The Johns Hopkins Health System, Department of Hospital Epidemiology and Infection Control, Baltimore, MD
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Diseases, Baltimore, MD
| | - Lisa L. Maragakis
- Johns Hopkins University Bloomberg School of Public Health, Department of Epidemiology, Baltimore, MD
- The Johns Hopkins Health System, Department of Hospital Epidemiology and Infection Control, Baltimore, MD
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Diseases, Baltimore, MD
| | - Aaron M. Milstone
- Johns Hopkins University Bloomberg School of Public Health, Department of Epidemiology, Baltimore, MD
- The Johns Hopkins Health System, Department of Hospital Epidemiology and Infection Control, Baltimore, MD
- Johns Hopkins University School of Medicine, Department of Pediatrics, Division of Infectious Diseases, Baltimore, MD
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