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Using Machine Learning to Predict Acute Kidney Injuries Among Patients Treated with Empiric Antibiotics.- [electronic resource] : Rutter, W. Cliff.
Using Machine Learning to Predict Acute Kidney Injuries Among Patients Treated with Empiric Antibiotics.- [electronic resource] : Rutter, W. Cliff.
상세정보
- 자료유형
- 학위논문(국외)
- 청구기호
- 저자명
- 서명/저자
- Using Machine Learning to Predict Acute Kidney Injuries Among Patients Treated with Empiric Antibiotics. - [electronic resource] : Rutter, W. Cliff.
- 발행사항
- 발행사항
- 형태사항
- 1 online resource(242 p.)
- 주기사항
- Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
- 주기사항
- Advisers: David S. Burgess
- 학위논문주기
- Thesis (Ph.D.)--University of Kentucky, 2018.
- 초록/해제
- 요약Acute kidney injury (AKI) is a significant adverse effect of many medications that leads to increased morbidity, cost, and mortality among hospitalized patients. Recent literature supports a strong link between empiric combination antimicrobial
- 초록/해제
- 요약Chapter 1 presents and summarizes the published literature connecting combination antimicrobial therapy with increased AKI incidence. This chapter sets the specific aims I aim to achieve during my dissertation project.
- 초록/해제
- 요약Chapter 2 describes a study in which patients receiving vancomycin (VAN) in combination with piperacillin-tazobactam (TZP) or cefepime (CFP). I matched over 1,600 patients receiving both combinations and found a significantly lower incidence of
- 초록/해제
- 요약Chapter 3 presents a study of patients receiving VAN in combination with meropenem (MEM) or TZP. This study included over 10,000 patients and used inverse probability of treatment weighting to conserve data for this population. After controlling
- 초록/해제
- 요약Chapter 4 describes a study in which patients receiving TZP or ampicillinsulbactam (SAM) with or without VAN were analyzed for AKI incidence. The purpose of this study was to identify whether the addition of a beta-lactamase inhibitor to a betal
- 초록/해제
- 요약Chapter 5 presents a study of almost 30,000 patients who received combination antimicrobial therapy over an 8-year period. This study demonstrates similar AKI incidence to previous literature and the studies presented in the previous chapters. A
- 초록/해제
- 요약The studies conducted present a clear message that patients receiving VAN+TZP are at significantly greater risk of AKI than alternative regimens for empiric coverage of infection.
- 일반주제명
- 기타저자
- 기본자료저록
- Dissertation Abstracts International. 79-12B(E).
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 원문정보보기
- 소장사항
-
201812 2019
MARC
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■00520190102173127
■007cr
■020 ▼a9780438239302
■035 ▼a(MiAaPQ)AAI10954441
■040 ▼aMiAaPQ▼cMiAaPQ
■08204▼a615
■090 ▼a전자도서(박사논문)
■1001 ▼aRutter, W. Cliff.
■24510▼aUsing Machine Learning to Predict Acute Kidney Injuries Among Patients Treated with Empiric Antibiotics.▼h[electronic resource]▼cRutter, W. Cliff.
■260 ▼a[S.l.]▼bUniversity of Kentucky. ▼c2018
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2018
■300 ▼a1 online resource(242 p.)
■500 ▼aSource: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
■500 ▼aAdvisers: David S. Burgess
■5021 ▼aThesis (Ph.D.)--University of Kentucky, 2018.
■520 ▼aAcute kidney injury (AKI) is a significant adverse effect of many medications that leads to increased morbidity, cost, and mortality among hospitalized patients. Recent literature supports a strong link between empiric combination antimicrobial
■520 ▼aChapter 1 presents and summarizes the published literature connecting combination antimicrobial therapy with increased AKI incidence. This chapter sets the specific aims I aim to achieve during my dissertation project.
■520 ▼aChapter 2 describes a study in which patients receiving vancomycin (VAN) in combination with piperacillin-tazobactam (TZP) or cefepime (CFP). I matched over 1,600 patients receiving both combinations and found a significantly lower incidence of
■520 ▼aChapter 3 presents a study of patients receiving VAN in combination with meropenem (MEM) or TZP. This study included over 10,000 patients and used inverse probability of treatment weighting to conserve data for this population. After controlling
■520 ▼aChapter 4 describes a study in which patients receiving TZP or ampicillinsulbactam (SAM) with or without VAN were analyzed for AKI incidence. The purpose of this study was to identify whether the addition of a beta-lactamase inhibitor to a betal
■520 ▼aChapter 5 presents a study of almost 30,000 patients who received combination antimicrobial therapy over an 8-year period. This study demonstrates similar AKI incidence to previous literature and the studies presented in the previous chapters. A
■520 ▼aThe studies conducted present a clear message that patients receiving VAN+TZP are at significantly greater risk of AKI than alternative regimens for empiric coverage of infection.
■590 ▼aSchool code: 0102.
■650 4▼aPharmaceutical sciences.
■690 ▼a0572
■71020▼aUniversity of Kentucky.
■7730 ▼tDissertation Abstracts International▼g79-12B(E).
■773 ▼tDissertation Abstract International
■790 ▼a0102
■791 ▼aPh.D.
■792 ▼a2018
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T15001223▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a201812▼f2019
