| LDR | | 02564nam u200457 4500 |
| 001 | | 000000422312 |
| 005 | | 20190215170027 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438250338 |
| 035 | |
▼a (MiAaPQ)AAI10828062 |
| 035 | |
▼a (MiAaPQ)ucsf:11635 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 614 |
| 100 | 1 |
▼a Linnen, Daniel T. |
| 245 | 10 |
▼a Alert Driven Rescue: Do In-hospital Sepsis Interventions Following an Advanced Early Warning System Alert Differ Substantially Between Decedents and Survivors?. |
| 260 | |
▼a [S.l.]:
▼b University of California, San Francisco.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 155 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
| 500 | |
▼a Adviser: Caroline Stephens. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of California, San Francisco, 2018. |
| 520 | |
▼a 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 |
| 520 | |
▼a 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 |
| 520 | |
▼a 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 |
| 520 | |
▼a 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 |
| 590 | |
▼a School code: 0034. |
| 650 | 4 |
▼a Health sciences. |
| 650 | 4 |
▼a Information science. |
| 650 | 4 |
▼a Nursing. |
| 690 | |
▼a 0566 |
| 690 | |
▼a 0723 |
| 690 | |
▼a 0569 |
| 710 | 20 |
▼a University of California, San Francisco.
▼b Nursing. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0034 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999111
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |