Literature DB >> 20945470

Unplanned transfers to the intensive care unit: the role of the shock index.

A Scott Keller1, Lisa L Kirkland, Smita Y Rajasekaran, Stephen Cha, Mohamed Y Rady, Jeanne M Huddleston.   

Abstract

BACKGROUND: Unplanned (unexpected) transfers to the intensive care unit (ICU) are typically preceded by physiologic instability. However, trends toward instability may be subtle and not accurately reflected by changes in vital signs. The shock index (SI) (heart rate/systolic blood pressure as an indicator of left ventricular function, reference value of 0.54) may be a simple alternative means to predict clinical deterioration.
OBJECTIVE: To assess the association of the SI with unplanned ICU transfers.
DESIGN: Retrospective case-control study.
SETTING: Academic medical center. PATIENTS: Fifty consecutive general medical patients with unplanned ICU transfers between 2003 and 2004 and 50 matched controls admitted to the same general medical unit between 2002 and 2004. MEASUREMENTS: Demographic data and vital signs abstracted from chart review.
RESULTS: The SI was associated with unplanned ICU transfer at values of 0.85 or greater (P < 0.02; odds ratio, 3.0) and there was a significant difference between the median of worst shock indices of cases and controls (0.87 vs. 0.72; P < 0.005). There was no significant difference in age, race, admission ward, or Charlson Comorbidity Index, but hospital stay for cases was significantly longer (mean [standard deviation, SD], 14.8 [9.7] days vs. 5.7 [6.3] days; P < 0.001).
CONCLUSIONS: SI is associated with unplanned transfers to the ICU from general medical units at values of 0.85 or greater. Future studies will determine whether SI is more accurate than simple vital signs as an indicator of clinical decline. If so, it may be a useful trigger to activate medical emergency or rapid response teams (RRTs).

Entities:  

Mesh:

Year:  2010        PMID: 20945470     DOI: 10.1002/jhm.779

Source DB:  PubMed          Journal:  J Hosp Med        ISSN: 1553-5592            Impact factor:   2.960


  11 in total

1.  Dynamic data during hypotensive episode improves mortality predictions among patients with sepsis and hypotension.

Authors:  Louis Mayaud; Peggy S Lai; Gari D Clifford; Lionel Tarassenko; Leo Anthony Celi; Djillali Annane
Journal:  Crit Care Med       Date:  2013-04       Impact factor: 7.598

2.  A randomized trial of real-time automated clinical deterioration alerts sent to a rapid response team.

Authors:  Marin H Kollef; Yixin Chen; Kevin Heard; Gina N LaRossa; Chenyang Lu; Nathan R Martin; Nelda Martin; Scott T Micek; Thomas Bailey
Journal:  J Hosp Med       Date:  2014-04-07       Impact factor: 2.960

3.  Comparison of risks factors for unplanned ICU transfer after ED admission in patients with infections and those without infections.

Authors:  Jeffrey Che-Hung Tsai; Ching-Wan Cheng; Shao-Jen Weng; Chin-Yin Huang; David Hung-Tsang Yen; Hsiu-Ling Chen
Journal:  ScientificWorldJournal       Date:  2014-01-02

4.  Unexpected intensive care transfer of admitted patients with severe sepsis.

Authors:  Gabriel Wardi; Arvin R Wali; Julian Villar; Vaishal Tolia; Christian Tomaszewski; Christian Sloane; Peter Fedullo; Jeremy R Beitler; Matthew Nolan; Daniel Lasoff; Rebecca E Sell
Journal:  J Intensive Care       Date:  2017-07-12

5.  Early in-hospital clinical deterioration is not predicted by severity of illness, functional status, or comorbidity.

Authors:  Janice Wang; Stella S Hahn; Myriam Kline; Rubin I Cohen
Journal:  Int J Gen Med       Date:  2017-09-29

6.  Shock Index on Admission Is Associated with Coronary Slow/No Reflow in Patients with Acute Myocardial Infarction Undergoing Emergent Percutaneous Coronary Intervention.

Authors:  Qingcheng Wang; Huimin Shen; Huijuan Mao; Fenghua Yu; Haiqing Wang; Jianlei Zheng
Journal:  J Interv Cardiol       Date:  2019-07-25       Impact factor: 2.279

7.  The use of the shock index to predict hemodynamic collapse in hypotensive sepsis patients: A cross-sectional analysis.

Authors:  Zohair Al Aseri; Mohammed Al Ageel; Mohammed Binkharfi
Journal:  Saudi J Anaesth       Date:  2020-03-05

8.  The diagnostic capability of electrocardiography on the cardiogenic shock in the patients with acute myocarditis.

Authors:  Dan Yang; Qing Dai; Han Wu; Jianzhou Chen; Jingmei Zhang; Zhonghai Wei
Journal:  BMC Cardiovasc Disord       Date:  2020-12-01       Impact factor: 2.298

9.  Comparison of shock index-based risk indices for predicting in-hospital outcomes in patients with ST-segment elevation myocardial infarction undergoing percutaneous coronary intervention.

Authors:  Guoyu Wang; Ruzhu Wang; Ling Liu; Jing Wang; Lei Zhou
Journal:  J Int Med Res       Date:  2021-03       Impact factor: 1.671

10.  The value of shock index in prediction of cardiogenic shock developed during primary percutaneous coronary intervention.

Authors:  Zhonghai Wei; Jian Bai; Qing Dai; Han Wu; Shuaihua Qiao; Biao Xu; Lian Wang
Journal:  BMC Cardiovasc Disord       Date:  2018-10-01       Impact factor: 2.298

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.