Current practices in feeding tube placement for US acute ischemic stroke inpatients

Neurology

Volumn 83, Issue 10, 2014, Pages 874-882

  George, Benjamin P ^a   Kelly, Adam G ^a   Schneider, Eric B ^a,b   Holloway, Robert G ^a  

^a UNIVERSITY OF ROCHESTER SCHOOL OF MEDICINE AND DENTISTRY   (United States)

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; BRAIN ISCHEMIA; COMORBIDITY; EMERGENCY CARE; FEEDING APPARATUS; FEMALE; HEART STROKE VOLUME; HISPANIC; HOSPITAL PATIENT; HUMAN; LENGTH OF STAY; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; PATIENT CARE; PRIORITY JOURNAL; SOCIOECONOMICS; VERY ELDERLY; YOUNG ADULT; ADOLESCENT; CLINICAL PRACTICE; ENTERIC FEEDING; HOSPITAL; INTUBATION; RETROSPECTIVE STUDY; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; STROKE; UNITED STATES;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; BRAIN ISCHEMIA; ENTERAL NUTRITION; FEMALE; HOSPITALS; HOSPITALS, PROPRIETARY; HUMANS; INPATIENTS; INTUBATION; MALE; MIDDLE AGED; MODELS, STATISTICAL; PHYSICIAN'S PRACTICE PATTERNS; RETROSPECTIVE STUDIES; STROKE; UNITED STATES; YOUNG ADULT;

EID: 84922266806     PISSN: 00283878     EISSN: 1526632X     Source Type: Journal    
DOI: 10.1212/WNL.0000000000000764     Document Type: Article

References (37)

1. Go AS, Mozaffarian D, Roger VL, et al. Heart disease and stroke statistics: 2013 update: a report from the American Heart Association. Circulation 2013;127:e6-e245.
2. Mann G, Hankey GJ, Cameron D. Swallowing function after stroke: prognosis and prognostic factors at 6 months. Stroke 1999;30:744-748.
3. Geeganage C, Beavan J, Ellender S, Bath PM. Interventions for dysphagia and nutritional support in acute and subacute stroke. Cochrane Database Syst Rev 2012;10: CD000323.
4. Collaboration FT. Poor nutritional status on admission predicts poor outcomes after stroke: observational data from the FOOD trial. Stroke 2003;34:1450-1456.
5. Martino R, Foley N, Bhogal S, Diamant N, Speechley M, Teasell R. Dysphagia after stroke: incidence, diagnosis, and pulmonary complications. Stroke 2005;36:2756-2763.
6. Flowers HL, Skoretz SA, Streiner DL, Silver FL, Martino R. MRI-based neuroanatomical predictors of dysphagia after acute ischemic stroke: a systematic review and meta-analysis. Cerebrovasc Dis 2011;32:1-10.
7. Dennis MS, Lewis SC, Warlow C, Collaboration FT. Routine oral nutritional supplementation for stroke patients in hospital (FOOD): a multicentre randomised controlled trial. Lancet 2005;365:755-763.
8. Dennis MS, Lewis SC, Warlow C; Collaboration FT. Effect of timing and method of enteral tube feeding for dysphagic stroke patients (FOOD): a multicentre randomised controlled trial. Lancet 2005;365:764-772.
9. Gomes CA Jr, Lustosa SA, Matos D, Andriolo RB, Waisberg DR, Waisberg J. Percutaneous endoscopic gastrostomy versus nasogastric tube feeding for adults with swallowing disturbances. Cochrane Database Syst Rev 2012;3:CD008096.
10. Introduction to the HCUP Nationwide Inpatient Sample (NIS). Available at: http://www.hcup-us.ahrq.gov/db/nation/nis/NIS-Introduction-2011.jsp. Accessed December 15, 2013.
11. Leibson CL, Naessens JM, Brown RD, Whisnant JP. Accuracy of hospital discharge abstracts for identifying stroke. Stroke 1994;25:2348-2355.
12. Goldstein LB. Accuracy of ICD-9-CM coding for the identification of patients with acute ischemic stroke: effect of modifier codes. Stroke 1998;29:1602-1604.
13. Johnston SC, Fung LH, Gillum LA, et al. Utilization of intravenous tissue-type plasminogen activator for ischemic stroke at academic medical centers: the influence of ethnicity. Stroke 2001;32:1061-1068.
14. Appelros P. Prediction of length of stay for stroke patients. Acta Neurol Scand 2007;116:15-19.
15. Teno JM, Mitchell SL, Gozalo PL, et al. Hospital characteristics associated with feeding tube placement in nursing home residents with advanced cognitive impairment. JAMA 2010;303:544-550.
16. Goldstein LB, Samsa GP, Matchar DB, Horner RD. Charlson Index comorbidity adjustment for ischemic stroke outcome studies. Stroke 2004;35:1941-1945.
17. Xian Y, Holloway RG, Noyes K, Shah MN, Friedman B. Racial differences in mortality among patients with acute ischemic stroke: an observational study. Ann Intern Med 2011;154:152-159.
18. Merlo J, Chaix B, Ohlsson H, et al. A brief conceptual tutorial of multilevel analysis in social epidemiology: using measures of clustering in multilevel logistic regression to investigate contextual phenomena. J Epidemiol Community Health 2006;60:290-297.
19. Sanagou M, Wolfe R, Forbes A, Reid CM. Hospital-level associations with 30-day patient mortality after cardiac surgery: a tutorial on the application and interpretation of marginal and multilevel logistic regression. BMC Med Res Methodol 2012;12:28.
20. Larsen K, Merlo J. Appropriate assessment of neighborhood effects on individual health: integrating random and fixed effects in multilevel logistic regression. Am J Epidemiol 2005;161:81-88.
21. Rabe-Hesketh S, Skrondal A. Multilevel and Longitudinal Modeling Using Stata: Categorical Responses, Counts, and Survival. College Station, TX: Stata Press Publication; 2012.
22. Jones MR, Horner RD, Edwards LJ, et al. Racial variation in initial stroke severity. Stroke 2000;31:563-567.
23. Kuhlemeier KV, Stiens SA. Racial disparities in severity of cerebrovascular events. Stroke 1994;25:2126-2131.
24. Kelly AG, Hoskins KD, Holloway RG. Early stroke mortality, patient preferences, and the withdrawal of care bias. Neurology 2012;79:941-944.
25. Kelly AG, Sahin B, Holloway RG. Ethical considerations in stroke patients. Curr Opin Neurol 2014;27:61-65.
26. Taylor DH Jr, Whellan DJ, Sloan FA. Effects of admission to a teaching hospital on the cost and quality of care for Medicare beneficiaries. N Engl J Med 1999;340: 293-299.
27. Mathias JS, Feinglass J, Baker DW. Variations in US hospital performance on imaging-use measures. Med Care 2012;50:808-814.
28. White RH, Geraghty EM, Brunson A, et al. High variation between hospitals in vena cava filter use for venous thromboembolism. JAMA Intern Med 2013;173:506-512.
29. Goldsmith B, Dietrich J, Du Q, Morrison RS. Variability in access to hospital palliative care in the United States. J Palliat Med 2008;11:1094-1102.
30. Rhodes R, Teno JM. What's race got to do with it? J Clin Oncol 2009;27:5496-5498.
31. Birkmeyer JD, Reames BN, McCulloch P, Carr AJ, Campbell WB, Wennberg JE. Understanding of regional variation in the use of surgery. Lancet 2013;382:1121-1129.
32. Newhouse JP, Garber AM. Geographic variation in Medicare services. N Engl J Med 2013;368:1465-1468.
33. Krumholz HM. Variations in health care, patient preferences, and high-quality decision making. JAMA 2013;310: 151-152.
34. Mulley AG, Trimble C, Elwyn G. Stop the silent misdiagnosis: patients' preferences matter. BMJ 2012;345:e6572.
35. Informed Medical Decisions Foundation. Foundation Decision Aids (Shared Decision-making® Programs). Available at: http://www.informedmedicaldecisions.org/shared-decision-making-in-practice/decision-aids/. Accessed December 26, 2013.
36. McCulloch P, Nagendran M, Campbell WB, et al. Strategies to reduce variation in the use of surgery. Lancet 2013; 382:1130-1139.
37. Dubin PH, Boehme AK, Siegler JE, et al. New model for predicting surgical feeding tube placement in patients with an acute stroke event. Stroke 2013;44:3232-3234.