Literature DB >> 12847392

Prognostic factors for mortality following interhospital transfers to the medical intensive care unit of a tertiary referral center.

Lakshmi Durairaj1, Joseph G Will, James C Torner, Bradley N Doebbeling.   

Abstract

OBJECTIVE: To describe characteristics of patients transferred from outside hospitals to a tertiary medical intensive care unit and to identify patient-level and system-level prognostic factors.
DESIGN: Retrospective cohort study.
SETTING: Tertiary university hospital. PATIENTS: We studied 3,347 patients who were transferred to the medical intensive care unit from outside hospitals from January 1990 through September 1999.
INTERVENTIONS: None.
MEASUREMENTS AND MAIN RESULTS: Data collected included patient demographics, insurance type, discharge diagnoses, length of stay, mortality, admitting service, and distance traveled. The Charlson Comorbidity Score was used to adjust for comorbidity and the diagnostic related group risk level for risk of adverse outcome. Multivariate logistic models of early mortality (<72 hrs) and overall hospital mortality rate were developed. The most common major diagnostic categories included neurologic (10%), respiratory (10%), digestive diseases (10%), and drug overdose (10%). Most patients (70%) were transferred from >60 miles away. Mean medical intensive care unit length of stay was 5.3 days vs. 3.9 days for nontransfer patients. Transfer patients accounted for 49% of medical intensive care unit admits and 56% of intensive care unit patient-days. The overall mortality rate for transfer patients to the medical intensive care unit was 25% (95% confidence interval, 23-26), significantly higher than the 21% (95% confidence interval, 19-22) mortality rate among those admitted directly. Independent prognostic factors for early death (<72 hrs) included male gender, summer season, admitting service, diagnostic related group level, Charlson Comorbidity Score, insurance type, and major diagnostic category. Independent prognostic factors for overall hospital mortality rate included length of stay, medical complication, distance traveled, insurance type, and major diagnostic category.
CONCLUSIONS: Interhospital transfers to the medical intensive care unit are patients at high risk for mortality and other adverse outcomes. System-level and patient-level characteristics influence both early and overall hospital mortality rates. These variables should be considered when risk stratifying medical intensive care unit patients and in studying outcomes of care.

Entities:  

Mesh:

Year:  2003        PMID: 12847392     DOI: 10.1097/01.CCM.0000069730.02769.16

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  39 in total

1.  Impact of Interhospital Transfer on Outcomes in Non-emergency Colorectal Surgery.

Authors:  Stephen P Sharp; Daniel J Schuster; Ashar Ata; Brian T Valerian; Jonathan J Canete; A David Chismark; Edward C Lee
Journal:  World J Surg       Date:  2018-05       Impact factor: 3.352

2.  Where should critically ill neurologic brain hemorrhage patients go and can transfer harm them?

Authors:  Paul Nyquist
Journal:  Neurocrit Care       Date:  2012-12       Impact factor: 3.210

Review 3.  An official American Thoracic Society systematic review: the association between health insurance status and access, care delivery, and outcomes for patients who are critically ill.

Authors:  Robert A Fowler; Lori-Anne Noyahr; J Daryl Thornton; Ruxandra Pinto; Jeremy M Kahn; Neill K J Adhikari; Peter M Dodek; Nadia A Khan; Tom Kalb; Andrea Hill; James M O'Brien; David Evans; J Randall Curtis
Journal:  Am J Respir Crit Care Med       Date:  2010-05-01       Impact factor: 21.405

4.  The effect of insurance status on mortality and procedural use in critically ill patients.

Authors:  Sarah M Lyon; Nicole M Benson; Colin R Cooke; Theodore J Iwashyna; Sarah J Ratcliffe; Jeremy M Kahn
Journal:  Am J Respir Crit Care Med       Date:  2011-10-01       Impact factor: 21.405

Review 5.  System-level planning, coordination, and communication: care of the critically ill and injured during pandemics and disasters: CHEST consensus statement.

Authors:  Jeffrey R Dichter; Robert K Kanter; David Dries; Valerie Luyckx; Matthew L Lim; John Wilgis; Michael R Anderson; Babak Sarani; Nathaniel Hupert; Ryan Mutter; Asha V Devereaux; Michael D Christian; Niranjan Kissoon
Journal:  Chest       Date:  2014-10       Impact factor: 9.410

6.  Venous Thromboembolism Rates in Transferred Patients: A Cross-Sectional Study.

Authors:  Samuel Lai; Eric Ton; Marianne Lovejoy; William Graham; Alpesh Amin
Journal:  J Gen Intern Med       Date:  2017-09-15       Impact factor: 5.128

7.  Surgical Transfer Decision Making: How Regional Resources are Allocated in a Regional Transfer Network.

Authors:  Kristy Kummerow Broman; Michael J Ward; Benjamin K Poulose; Margaret L Schwarze
Journal:  Jt Comm J Qual Patient Saf       Date:  2017-12-01

8.  An Innovative Framework to Improve Efficiency of Interhospital Transfer of Children in Respiratory Failure.

Authors:  Folafoluwa O Odetola; Luke Bruski; Gabriel Zayas-Caban; Mariel Lavieri
Journal:  Ann Am Thorac Soc       Date:  2016-05

9.  The effect of transfer and hospital volume in subarachnoid hemorrhage patients.

Authors:  Miriam Nuño; Chirag G Patil; Patrick Lyden; Doniel Drazin
Journal:  Neurocrit Care       Date:  2012-12       Impact factor: 3.210

10.  Rural Patients With Severe Sepsis or Septic Shock Who Bypass Rural Hospitals Have Increased Mortality: An Instrumental Variables Approach.

Authors:  Nicholas M Mohr; Karisa K Harland; Dan M Shane; Azeemuddin Ahmed; Brian M Fuller; Marcia M Ward; James C Torner
Journal:  Crit Care Med       Date:  2017-01       Impact factor: 7.598

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.