자료유형 | 학위논문 |
---|---|
서명/저자사항 | Alert Driven Rescue: Do In-hospital Sepsis Interventions Following an Advanced Early Warning System Alert Differ Substantially Between Decedents and Survivors?. |
개인저자 | Linnen, Daniel T. |
단체저자명 | University of California, San Francisco. Nursing. |
발행사항 | [S.l.]: University of California, San Francisco., 2018. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
형태사항 | 155 p. |
기본자료 저록 | Dissertation Abstracts International 79-12B(E). Dissertation Abstract International |
ISBN | 9780438250338 |
학위논문주기 | Thesis (Ph.D.)--University of California, San Francisco, 2018. |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Caroline Stephens. |
요약 | Significance: Patients with worsening sepsis on general hospital wards are at high risk for clinical deterioration, unplanned admission to the intensive care unit, and death. Many hospitals have begun to employ early warning systems (EWSs) to al |
요약 | Methods: 1) We performed a systematic review of the evidence of advanced early warning systems detecting patient deterioration risk using multivariate regression or machine learning vs. point-score systems. We then systematically quantified resu |
요약 | Results: 1) Advanced EWSs using multivariate regression or machine learning had better prognostic accuracy than point-score EWSs and decreased the RRT and hospitalist evaluation workload substantially. 2) The advanced EWS alert frequently occurr |
요약 | Discussion: This dissertation offers a novel approach to characterizing and measuring the impact of fluid bolus therapy on sepsis survival and has the potential to improve outcomes among sepsis patients outside the ICU. Early additional antibiot |
일반주제명 | Health sciences. Information science. Nursing. |
언어 | 영어 |
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