Literature DB >> 31531716

Near-simultaneous intensive care unit (ICU) admissions and all-cause mortality: a cohort study.

Markos G Kashiouris1,2, Curtis N Sessler3,4, Rehan Qayyum5, Venu Velagapudi6, Christos Stefanou7, Rahul Kashyap8, Niall Crowley3, Craig Daniels9, Kianoush Kashani9,10.   

Abstract

PURPOSE: Prior studies have reported the adverse effects of strain on patient outcomes. There is a paucity of literature about a type of strain that may be caused by near-simultaneous intensive care unit (ICU) admissions. We hypothesized that when multiple admissions arrive nearly at the same time, the ICU teams are excessively strained, and this leads to unfavorable patient outcomes.
METHODS: This is a retrospective cohort study of consecutive adult patients admitted to an academic medical ICU of a tertiary referral center over five consecutive years. Primary outcomes were the all-cause hospital and ICU mortality.
RESULTS: We enrolled 13,234 consecutive ICU admissions during the study period. One-fourth of the admissions had an elapsed time since the last admission (ETLA) of < 55 min. Near-simultaneous admissions (NSA) had on average, a higher unadjusted odds ratio (OR) of ICU death of 1.16 (95% CI 1-1.35, P = 0.05), adjusted 1.23 (95% CI 1.04-1.44, P = 0.01), unadjusted hospital death of 1.11 (95% CI 0.99-1.24, P = 0.06), adjusted 1.20 (95% 1.05-1.35, P = 0.004), and a lower adjusted OR of home discharge of 0.91 (95% CI 0.84-0.99, P = 0.04). NSA was associated with 0.16 (95% CI 0.04-0.29, P = 0.01) added days in the ICU. For each incremental unit increase of the logarithmic transformation of ETLA [log (ETLA in minutes)], the average adjusted hospital mortality OR incrementally decreased by an added average OR of 0.93 (95% CI 0.89‒0.97, P = 0.001).
CONCLUSION: Our results suggest that near-simultaneous ICU admissions (NSA) are frequent and are associated with a dose-dependent effect on mortality, length of stay, and odds of home versus nursing facility discharge.

Entities:  

Keywords:  Mortality; Strain; Time-pressure; Workload

Mesh:

Year:  2019        PMID: 31531716     DOI: 10.1007/s00134-019-05753-4

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


  59 in total

1.  Impact of time to treatment on mortality after prehospital fibrinolysis or primary angioplasty: data from the CAPTIM randomized clinical trial.

Authors:  Philippe Gabriel Steg; Eric Bonnefoy; Sylvie Chabaud; Frédéric Lapostolle; Pierre-Yves Dubien; Pascal Cristofini; Alain Leizorovicz; Paul Touboul
Journal:  Circulation       Date:  2003-11-17       Impact factor: 29.690

2.  Rationing in the intensive care unit.

Authors:  Robert D Truog; Dan W Brock; Deborah J Cook; Marion Danis; John M Luce; Gordon D Rubenfeld; Mitchell M Levy
Journal:  Crit Care Med       Date:  2006-04       Impact factor: 7.598

3.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

4.  Donabedian's structure-process-outcome quality of care model: Validation in an integrated trauma system.

Authors:  Lynne Moore; André Lavoie; Gilles Bourgeois; Jean Lapointe
Journal:  J Trauma Acute Care Surg       Date:  2015-06       Impact factor: 3.313

5.  Comparison of medical admissions to intensive care units in the United States and United Kingdom.

Authors:  Hannah Wunsch; Derek C Angus; David A Harrison; Walter T Linde-Zwirble; Kathryn M Rowan
Journal:  Am J Respir Crit Care Med       Date:  2011-03-25       Impact factor: 21.405

6.  Intensive care unit capacity strain and adherence to prophylaxis guidelines.

Authors:  Gary E Weissman; Nicole B Gabler; Sydney E S Brown; Scott D Halpern
Journal:  J Crit Care       Date:  2015-08-22       Impact factor: 3.425

7.  Patient Mortality Is Associated With Staff Resources and Workload in the ICU: A Multicenter Observational Study.

Authors:  Antoine Neuraz; Claude Guérin; Cécile Payet; Stéphanie Polazzi; Frédéric Aubrun; Frédéric Dailler; Jean-Jacques Lehot; Vincent Piriou; Jean Neidecker; Thomas Rimmelé; Anne-Marie Schott; Antoine Duclos
Journal:  Crit Care Med       Date:  2015-08       Impact factor: 7.598

8.  The golden hour and the silver day: detection and correction of occult hypoperfusion within 24 hours improves outcome from major trauma.

Authors:  O Blow; L Magliore; J A Claridge; K Butler; J S Young
Journal:  J Trauma       Date:  1999-11

9.  Evaluating the performance of an institution using an intensive care unit benchmark.

Authors:  Bekele Afessa; Mark T Keegan; Rolf D Hubmayr; James M Naessens; Ognjen Gajic; Kirsten Hall Long; Steve G Peters
Journal:  Mayo Clin Proc       Date:  2005-02       Impact factor: 7.616

10.  The Sequential Organ Failure Assessment score for predicting outcome in patients with severe sepsis and evidence of hypoperfusion at the time of emergency department presentation.

Authors:  Alan E Jones; Stephen Trzeciak; Jeffrey A Kline
Journal:  Crit Care Med       Date:  2009-05       Impact factor: 7.598

View more
  5 in total

1.  Near-simultaneous intensive care unit (ICU) admissions and all-cause mortality: a cohort study.

Authors:  Markos G Kashiouris; Curtis N Sessler; Rehan Qayyum; Venu Velagapudi; Christos Stefanou; Rahul Kashyap; Niall Crowley; Craig Daniels; Kianoush Kashani
Journal:  Intensive Care Med       Date:  2019-09-17       Impact factor: 17.440

2.  "Hang on, I haven't seen this patient yet…": near simultaneous admissions to the ICU.

Authors:  Matthew H Anstey; Hayley B Gershengorn; Laura Hawryluck
Journal:  Intensive Care Med       Date:  2019-10-07       Impact factor: 17.440

3.  Development and validation of a deep learning model to predict the survival of patients in ICU.

Authors:  Hai Tang; Zhuochen Jin; Jiajun Deng; Yunlang She; Yifan Zhong; Weiyan Sun; Yijiu Ren; Nan Cao; Chang Chen
Journal:  J Am Med Inform Assoc       Date:  2022-08-16       Impact factor: 7.942

4.  Association of Surge Conditions with Mortality Among Critically Ill Patients with COVID-19.

Authors:  Adam B Keene; Andrew J Admon; Samantha K Brenner; Shruti Gupta; Deepa Lazarous; David E Leaf; Hayley B Gershengorn
Journal:  J Intensive Care Med       Date:  2021-12-23       Impact factor: 2.889

5.  Improved 60-day survival but impaired general health in Swedish ICU-COVID patients: An ambidirectional population-based study.

Authors:  Gustaf Forsberg; Sören Berg; Anestis Divanoglou; Richard Levi; David Ekqvist; Åse Östholm Balkhed; Katarina Niward
Journal:  Acta Anaesthesiol Scand       Date:  2022-03-14       Impact factor: 2.274

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.