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Items: 1 to 20 of 126

1.

A comparison of administrative and physiologic predictive models in determining risk adjusted mortality rates in critically ill patients.

Enfield KB, Schafer K, Zlupko M, Herasevich V, Novicoff WM, Gajic O, Hoke TR, Truwit JD.

PLoS One. 2012;7(2):e32286. doi: 10.1371/journal.pone.0032286. Epub 2012 Feb 24.

2.

Prognostic models based on administrative data alone inadequately predict the survival outcomes for critically ill patients at 180 days post-hospital discharge.

Bohensky MA, Jolley D, Pilcher DV, Sundararajan V, Evans S, Brand CA.

J Crit Care. 2012 Aug;27(4):422.e11-21. doi: 10.1016/j.jcrc.2012.03.008. Epub 2012 May 15.

PMID:
22591572
3.

Critical care in the emergency department: A physiologic assessment and outcome evaluation.

Nguyen HB, Rivers EP, Havstad S, Knoblich B, Ressler JA, Muzzin AM, Tomlanovich MC.

Acad Emerg Med. 2000 Dec;7(12):1354-61.

4.

Acute Physiology and Chronic Health Evaluation (APACHE) IV: hospital mortality assessment for today's critically ill patients.

Zimmerman JE, Kramer AA, McNair DS, Malila FM.

Crit Care Med. 2006 May;34(5):1297-310.

PMID:
16540951
5.

Impact of delayed transfer of critically ill patients from the emergency department to the intensive care unit.

Chalfin DB, Trzeciak S, Likourezos A, Baumann BM, Dellinger RP; DELAY-ED study group.

Crit Care Med. 2007 Jun;35(6):1477-83.

PMID:
17440421
6.

Association between out-of-hospital emergency department transfer and poor hospital outcome in critically ill stroke patients.

Rincon F, Morino T, Behrens D, Akbar U, Schorr C, Lee E, Gerber D, Parrillo J, Mirsen T.

J Crit Care. 2011 Dec;26(6):620-5. doi: 10.1016/j.jcrc.2011.02.009. Epub 2011 May 18.

PMID:
21596517
7.

A comparison between the APACHE II and Charlson Index Score for predicting hospital mortality in critically ill patients.

Quach S, Hennessy DA, Faris P, Fong A, Quan H, Doig C.

BMC Health Serv Res. 2009 Jul 30;9:129. doi: 10.1186/1472-6963-9-129.

8.

Hospital mortality, length of stay, and preventable complications among critically ill patients before and after tele-ICU reengineering of critical care processes.

Lilly CM, Cody S, Zhao H, Landry K, Baker SP, McIlwaine J, Chandler MW, Irwin RS; University of Massachusetts Memorial Critical Care Operations Group.

JAMA. 2011 Jun 1;305(21):2175-83. doi: 10.1001/jama.2011.697. Epub 2011 May 16.

PMID:
21576622
9.

A comparison of the performance of a model based on administrative data and a model based on clinical data: effect of severity of illness on standardized mortality ratios of intensive care units.

Brinkman S, Abu-Hanna A, van der Veen A, de Jonge E, de Keizer NF.

Crit Care Med. 2012 Feb;40(2):373-8. doi: 10.1097/CCM.0b013e318232d7b0.

PMID:
21983367
10.

Nurse practitioner/physician assistant staffing and critical care mortality.

Costa DK, Wallace DJ, Barnato AE, Kahn JM.

Chest. 2014 Dec;146(6):1566-1573. doi: 10.1378/chest.14-0566.

11.

[The value of modified early warning score in predicting early mortality of critically ill patients admitted to emergency department].

Gu M, Fu Y, Li C, Chen M, Zhang X, Xu J, Yu X.

Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2015 Aug;27(8):687-90. doi: 10.3760/cma.j.issn.2095-4352.2015.08.014. Chinese.

12.

Variation in pediatric intensive care therapies and outcomes by race, gender, and insurance status.

Lopez AM, Tilford JM, Anand KJ, Jo CH, Green JW, Aitken ME, Fiser DH.

Pediatr Crit Care Med. 2006 Jan;7(1):2-6.

PMID:
16395066
13.
14.

Interhospital transfer of critically ill patients: demographic and outcomes comparison with nontransferred intensive care unit patients.

Hill AD, Vingilis E, Martin CM, Hartford K, Speechley KN.

J Crit Care. 2007 Dec;22(4):290-5.

PMID:
18086399
15.

Community-acquired pneumonia and survival of critically ill acute exacerbation of COPD patients in respiratory intensive care units.

Lu Z, Cheng Y, Tu X, Chen L, Chen H, Yang J, Wang J, Zhang L.

Int J Chron Obstruct Pulmon Dis. 2016 Aug 9;11:1867-72. doi: 10.2147/COPD.S113510. eCollection 2016.

16.

Accepting critically ill transfer patients: adverse effect on a referral center's outcome and benchmark measures.

Rosenberg AL, Hofer TP, Strachan C, Watts CM, Hayward RA.

Ann Intern Med. 2003 Jun 3;138(11):882-90.

PMID:
12779298
17.

Serum osmolality and outcome in intensive care unit patients.

Holtfreter B, Bandt C, Kuhn SO, Grunwald U, Lehmann C, Schütt C, Gründling M.

Acta Anaesthesiol Scand. 2006 Sep;50(8):970-7.

PMID:
16923092
18.

Nighttime intensivist staffing and mortality among critically ill patients.

Wallace DJ, Angus DC, Barnato AE, Kramer AA, Kahn JM.

N Engl J Med. 2012 May 31;366(22):2093-101. doi: 10.1056/NEJMsa1201918. Epub 2012 May 21. Erratum in: N Engl J Med. 2012 Aug 30;367(9):881.

19.

Attributable morbidity and mortality of catheter-related septicemia in critically ill patients: a matched, risk-adjusted, cohort study.

Soufir L, Timsit JF, Mahe C, Carlet J, Regnier B, Chevret S.

Infect Control Hosp Epidemiol. 1999 Jun;20(6):396-401.

PMID:
10395140
20.

Usefulness of Glycemic Gap to Predict ICU Mortality in Critically Ill Patients With Diabetes.

Liao WI, Wang JC, Chang WC, Hsu CW, Chu CM, Tsai SH.

Medicine (Baltimore). 2015 Sep;94(36):e1525. doi: 10.1097/MD.0000000000001525.

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