Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You and Your Team.

Learn More →

Long-term survival and resource use in critically ill cardiac surgery patients: a population-based study

Long-term survival and resource use in critically ill cardiac surgery patients: a... Can J Anesth/J Can Anesth (2018) 65:985–995 https://doi.org/10.1007/s12630-018-1159-2 REPORTS O F O RIGINAL I NVES TIGATIONS Long-term survival and resource use in critically ill cardiac surgery patients: a population-based study Survie a long terme et utilisation des ressources par les patients ´ ´ ´ chirurgicaux cardiaques dans un etat critique : une etude basee sur la population . . Daniel I. McIsaac, MD, MPH, FRCPC Bernard McDonald, MD, PhD, FRCPC Coralie A. Wong, MSc Carl van Walraven, MD, MSc, FRCPC Received: 30 October 2017 / Revised: 24 March 2018 / Accepted: 28 March 2018 / Published online: 1 June 2018 Canadian Anesthesiologists’ Society 2018 Abstract surgery patients. Validated methods were used to measure Purpose Most cardiac surgery patients recover well; a postoperative intensive care unit (ICU) length of stay substantial minority become critically ill after surgery. The (LOS). We categorized patients into short (0-2 day), epidemiology of critical illness after cardiac surgery is moderate (3-9 day), and long (10? day) ICU LOS poorly described. We measured the association of groups. The adjusted associations of ICU LOS with one- prolonged critical illness with long-term survival and year survival (primary outcome) and costs, hospital resource use after cardiac surgery. readmissions, and http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Canadian Journal of Anesthesia/Journal canadien d'anesthésie Springer Journals

Long-term survival and resource use in critically ill cardiac surgery patients: a population-based study

Download PDF
11 pages
Read Article

Loading next page...
 
/lp/springer_journal/long-term-survival-and-resource-use-in-critically-ill-cardiac-surgery-nYpg6kHgse
Publisher
Springer Journals
Copyright
Copyright © 2018 by Canadian Anesthesiologists' Society
Subject
Medicine & Public Health; Anesthesiology; Pain Medicine; Intensive / Critical Care Medicine; Pneumology/Respiratory System; Cardiology; Pediatrics
ISSN
0832-610X
eISSN
1496-8975
DOI
10.1007/s12630-018-1159-2
Publisher site
See Article on Publisher Site

Abstract

Can J Anesth/J Can Anesth (2018) 65:985–995 https://doi.org/10.1007/s12630-018-1159-2 REPORTS O F O RIGINAL I NVES TIGATIONS Long-term survival and resource use in critically ill cardiac surgery patients: a population-based study Survie a long terme et utilisation des ressources par les patients ´ ´ ´ chirurgicaux cardiaques dans un etat critique : une etude basee sur la population . . Daniel I. McIsaac, MD, MPH, FRCPC Bernard McDonald, MD, PhD, FRCPC Coralie A. Wong, MSc Carl van Walraven, MD, MSc, FRCPC Received: 30 October 2017 / Revised: 24 March 2018 / Accepted: 28 March 2018 / Published online: 1 June 2018 Canadian Anesthesiologists’ Society 2018 Abstract surgery patients. Validated methods were used to measure Purpose Most cardiac surgery patients recover well; a postoperative intensive care unit (ICU) length of stay substantial minority become critically ill after surgery. The (LOS). We categorized patients into short (0-2 day), epidemiology of critical illness after cardiac surgery is moderate (3-9 day), and long (10? day) ICU LOS poorly described. We measured the association of groups. The adjusted associations of ICU LOS with one- prolonged critical illness with long-term survival and year survival (primary outcome) and costs, hospital resource use after cardiac surgery. readmissions, and

Journal

Canadian Journal of Anesthesia/Journal canadien d'anesthésie – Springer Journals

Published: Jun 1, 2018

References

  • Coronary revascularization trends in the United States, 2001-2008
    Epstein, AJ; Polsky, D; Yang, F; Yang, L; Groeneveld, PW
  • The aging population and its impact on the surgery workforce
    Etzioni, DA; Liu, JH; Maggard, MA; Ko, CY
  • Three-year survival after four major post-cardiac operative complications
    Hein, OV; Birnbaum, J; Wernecke, KD; Konertz, W; Jain, U; Spies, C
  • Preoperative prediction of intensive care unit stay following cardiac surgery
    Cocker, J; Messaoudi, N; Stockman, BA; Bossaert, LL; Rodrigus, IE
  • Relation of the Sequential Organ Failure Assessment score to morbidity and mortality after cardiac surgery
    Pätilä, T; Kukkonen, S; Vento, A; Pettilä, V; Suojaranta-Ylinen, R
  • Application of the sequential organ failure assessment score to cardiac surgical patients
    Ceriani, R; Mazzoni, M; Bortone, F
  • Long-term outcomes and healthcare utilization following critical illness – a population-based study
    Hill, AD; Fowler, RA; Pinto, R; Herridge, MS; Cuthbertson, BH; Scales, DC
  • Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies
    Elm, E; Altman, DG; Egger, M
  • The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) Statement
    Benchimol, EI; Smeeth, L; Guttmann, A
  • The accuracy of administrative data for identifying the presence and timing of admission to intensive care units in a Canadian province
    Garland, A; Yogendran, M; Olafson, K; Scales, DC; McGowan, KL; Fransoo, R
  • Quality of life in relation to length of intensive care unit stay after cardiac surgery
    Diab, M; Bilkhu, R; Soppa, G
  • Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data
    Quan, H; Sundararajan, V; Halfon, P
  • Identifying cases of congestive heart failure from administrative data: a validation study using primary care patient records
    Schultz, SE; Rothwell, DM; Chen, Z; Tu, K
  • A comparison of several regression models for analysing cost of CABG surgery
    Austin, PC; Ghali, WA; Tu, JV
  • Multivariable regression model building by using fractional polynomials: description of SAS, STATA and R programs
    Sauerbrei, W; Meier-Hirmer, C; Benner, A; Royston, P
  • Epidemiology of critically ill patients in intensive care units: a population-based observational study
    Garland, A; Olafson, K; Ramsey, CD; Yogendran, M; Fransoo, R
  • Chronic critical illness
    Nelson, JE; Cox, CE; Hope, AA; Carson, SS
  • The evolution of cardiothoracic critical care
    Katz, NM
  • Prediction models for prolonged intensive care unit stay after cardiac surgery: systematic review and validation study
    Ettema, RG; Peelen, LM; Schuurmans, MJ; Nierich, AP; Kalkman, CJ; Moons, KG

You’re reading a free preview. Subscribe to read the entire article.

Try 2 weeks free now

DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

or browse the journals available

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$499/year

Save searches from
Google Scholar,
PubMed

Create folders to
organize your research

Export folders, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

Sign up
for free
Start 14 day
Free Trial