| LDR | | 02626nam u200421 4500 |
| 001 | | 000000421179 |
| 005 | | 20190215165114 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438028807 |
| 035 | |
▼a (MiAaPQ)AAI10792293 |
| 035 | |
▼a (MiAaPQ)umaryland:10936 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 614.4 |
| 100 | 1 |
▼a Jackson, Sarah S. |
| 245 | 10 |
▼a Risk Factors for Transmission of Multidrug-Resistant Organisms and Acquisition of Healthcare-Associated Infections. |
| 260 | |
▼a [S.l.]:
▼b University of Maryland, Baltimore.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 152 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
| 500 | |
▼a Advisers: Anthony D. Harris |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of Maryland, Baltimore, 2018. |
| 520 | |
▼a Background: Healthcare-associated infections (HAI) increase hospitalized patients' morbidity and mortality. In order to prevent the spread of HAI among patients in the healthcare setting, a better understanding of transmission dynamics and how p |
| 520 | |
▼a Objectives: To estimate the association between patients' bacterial burden of vancomycin-resistant Enterococcus (VRE) and transmission to others and to build risk adjustment models taking into account patient case-mix for a more accurate compari |
| 520 | |
▼a Methods: Using a prospective cohort design, quantitative cultures (perianal, skin, and stool samples) were obtained from VRE-colonized ICU patients at the University of Maryland Medical Center. The association between patient bacterial burden an |
| 520 | |
▼a Results: There were 71 transmission events among 479 HCW-patient interactions. VRE transmission was associated with VRE burden on the perianal swab (OR: 1.37 [95% CI 1.19, 1.57]) |
| 520 | |
▼a Conclusions: Our first study shows that ICU patients with higher bacterial burden are more likely to transfer VRE to HCWs. Our second study demonstrates the importance of including comorbidities in risk adjustment models. These findings have imp |
| 590 | |
▼a School code: 0373. |
| 650 | 4 |
▼a Epidemiology. |
| 690 | |
▼a 0766 |
| 710 | 20 |
▼a University of Maryland, Baltimore.
▼b Epidemiology and Preventive Medicine. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0373 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997690
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |