Th e association between indwelling arterial catheters and mortality in hemodynamically stable patients with respiratory failure a propensity score analysis

Chest

Volumn 148, Issue 6, 2015, Pages 1470-1476

  Hsu, Douglas J ^a   Feng, Mengling ^b,c   Kothari, Rishi ^d   Zhou, Hufeng ^e,f   Chen, Kenneth P ^a   Celi, Leo A ^a,b  

^a BETH ISRAEL DEACONESS MEDICAL CENTER   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^d MOUNT SINAI HOSPITAL   (United States)

^e BRIGHAM AND WOMEN S HOSPITAL   (United States)

^f HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ADULT RESPIRATORY DISTRESS SYNDROME; AGED; ARTERY CATHETER; ARTICLE; ARTIFICIAL VENTILATION; BLOOD GAS ANALYSIS; COHORT ANALYSIS; COMORBIDITY; CONTROLLED STUDY; FEMALE; HUMAN; INDWELLING CATHETER; LENGTH OF STAY; LUNG HEMODYNAMICS; MAJOR CLINICAL STUDY; MALE; MCNEMAR TEST; MORTALITY; OUTCOME ASSESSMENT; PATIENT MONITORING; PNEUMONIA; PRIORITY JOURNAL; PROGNOSIS; RESPIRATORY FAILURE; RETROSPECTIVE STUDY; SURVIVAL PREDICTION; SURVIVAL TIME; ADVERSE EFFECTS; BLOOD; CATHETERIZATION; HEMODYNAMICS; HOSPITAL MORTALITY; INTENSIVE CARE UNIT; MIDDLE AGED; PATHOPHYSIOLOGY; PHYSIOLOGIC MONITORING; PROCEDURES; PROPENSITY SCORE; RESPIRATORY INSUFFICIENCY; RISK ASSESSMENT; STATISTICS AND NUMERICAL DATA; UNITED STATES;

ADULT; AGED; BLOOD GAS ANALYSIS; CATHETERIZATION, PERIPHERAL; CATHETERS, INDWELLING; FEMALE; HEMODYNAMICS; HOSPITAL MORTALITY; HUMANS; INTENSIVE CARE UNITS; LENGTH OF STAY; MALE; MIDDLE AGED; MONITORING, PHYSIOLOGIC; OUTCOME ASSESSMENT (HEALTH CARE); PROPENSITY SCORE; RESPIRATION, ARTIFICIAL; RESPIRATORY INSUFFICIENCY; RISK ASSESSMENT; UNITED STATES;

EID: 84948964652     PISSN: 00123692     EISSN: 19313543     Source Type: Journal    
DOI: 10.1378/chest.15-0516     Document Type: Article

References (19)

1. Angus DC, Shorr AF, White A, Dremsizov TT, Schmitz RJ, Kelley MA; Committee on Manpower for Pulmonary and Critical Care Societies (COMPACCS). Critical care delivery in the United States: distribution of services and compliance with Leapfrog recommendations. Crit Care Med. 2006;34(4): 1016-1024.
2. Gershengorn HB, Garland A, Kramer A, Scales DC, Rubenfeld G, Wunsch H. Variation of arterial and central venous catheter use in United States intensive care units. Anesthesiology. 2014;120(3): 650-664.
3. Traoré O, Liotier J, Souweine B. Prospective study of arterial and central venous catheter colonization and of arterial-and central venous catheter-related bacter-emia in intensive care units. Crit Care Med. 2005;33(6):1276-1280.
4. Maki DG, Kluger DM, Crnich CJ. The risk of bloodstream infection in adults with different intravascular devices: a systematic review of 200 published prospective studies. Mayo Clin Proc. 2006;81(9):1159-1171.
5. Scheer B, Perel A, Pfeifer UJ. Clinical review: complications and risk factors of peripheral arterial catheters used for haemodynamic monitoring in anaesthesia and intensive care medicine. Crit Care. 2002;6(3):199-204.
6. Low LL, Harrington GR, Stoltzfus DP. The effect of arterial lines on blood-drawing practices and costs in intensive care units. Chest. 1995;108(1):216-219.
7. Zimmerman JE, Senef MG, Sun X, Wagner DP, Knaus WA. Evaluating laboratory usage in the intensive care unit: patient and institutional characteristics that influence frequency of blood sampling. Crit Care Med. 1997;25(5):737-748.
8. Scott DJ, Lee J, Silva I, et al. Accessing the public MIMIC-II intensive care relational database for clinical research. BMC Med Inform Decis Mak. 2013;13:9.
9. Angus DC, Linde-Zwirble WT, Lidicker J, Clermont G, Carcillo J, Pinsky MR. Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care. Crit Care Med. 2001;29(7):1303-1310.
10. Diamond A, Sekhon JS. Genetic matching for estimating causal effects: a general multivariate matching method for achieving balance in observational studies. Rev Econ Stat. 2013; 95 (3): 932-945.
11. Kalbfeisch JD, Prentice RL. The Statistical Analysis of Failure Time Data. Hoboken, NJ: John Wiley & Sons, Ltd; 2002.
12. Gershengorn HB, Wunsch H, Scales DC, Zarychanski R, Rubenfeld G, Garland A. Association between arterial catheter use and hospital mortality in intensive care units. JAMA Intern Med. 2014;174(11): 1746-1754.
13. Shah MR, Hasselblad V, Stevenson LW, et al. Impact of the pulmonary artery catheter in critically ill patients: meta-analysis of randomized clinical trials. JAMA. 2005;294(13):1664-1670.
14. Rajaram SS, Desai NK, Kalra A, et al. Pulmonary artery catheters for adult patients in intensive care. Cochrane Database Syst Rev. 2013;2:CD003408.
15. Wiener RS, Welch HG. Trends in the use of the pulmonary artery catheter in the United States, 1993-2004. JAMA. 2007;298(4):423-429.
16. Gershengorn H B, Wunsch H. Understanding changes in established practice: pulmonary artery catheter use in critically ill patients. Crit Care Med. 2013;41(12):2667-2676.
17. Ghassemi MM, Richter SE, Eche IM, Chen TW, Danziger J, Celi LA. A data-driven approach to optimized medication dosing: a focus on heparin. Intensive Care Med. 2014;40(9): 1332-1339.
18. Ghassemi M, Celi LA, Stone DJ. State of the art review: the data revolution in critical care. Crit Care. 2015;19:118.
19. Brookhart MA, Schneeweiss S, Rothman KJ, Glynn RJ, Avorn J, Stürmer T. Variable selection for propensity score models. Am J Epidemiol. 2006;163(12):1149-1156.