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Items: 1 to 20 of 168

1.

Predicting medical complications after spine surgery: a validated model using a prospective surgical registry.

Lee MJ, Cizik AM, Hamilton D, Chapman JR.

Spine J. 2014 Feb 1;14(2):291-9. doi: 10.1016/j.spinee.2013.10.043. Epub 2013 Nov 13.

2.

Predicting surgical site infection after spine surgery: a validated model using a prospective surgical registry.

Lee MJ, Cizik AM, Hamilton D, Chapman JR.

Spine J. 2014 Sep 1;14(9):2112-7. doi: 10.1016/j.spinee.2013.12.026. Epub 2014 Jan 20.

PMID:
24456678
3.

Risk factors for medical complication after lumbar spine surgery: a multivariate analysis of 767 patients.

Lee MJ, Hacquebord J, Varshney A, Cizik AM, Bransford RJ, Bellabarba C, Konodi MA, Chapman J.

Spine (Phila Pa 1976). 2011 Oct 1;36(21):1801-6.

4.

Risk factors for medical complication after cervical spine surgery: a multivariate analysis of 582 patients.

Lee MJ, Konodi MA, Cizik AM, Weinreich MA, Bransford RJ, Bellabarba C, Chapman J.

Spine (Phila Pa 1976). 2013 Feb 1;38(3):223-8. doi: 10.1097/BRS.0b013e318268ffc9.

5.

Risk factors for medical complication after spine surgery: a multivariate analysis of 1,591 patients.

Lee MJ, Konodi MA, Cizik AM, Bransford RJ, Bellabarba C, Chapman JR.

Spine J. 2012 Mar;12(3):197-206. doi: 10.1016/j.spinee.2011.11.008. Epub 2012 Jan 14.

6.

Predicting complication risk in spine surgery: a prospective analysis of a novel risk assessment tool.

Veeravagu A, Li A, Swinney C, Tian L, Moraff A, Azad TD, Cheng I, Alamin T, Hu SS, Anderson RL, Shuer L, Desai A, Park J, Olshen RA, Ratliff JK.

J Neurosurg Spine. 2017 Jul;27(1):81-91. doi: 10.3171/2016.12.SPINE16969. Epub 2017 Apr 21.

PMID:
28430052
7.

Medicaid status is associated with higher complication rates after spine surgery.

Hacquebord J, Cizik AM, Malempati SH, Konodi MA, Bransford RJ, Bellabarba C, Chapman J, Lee MJ.

Spine (Phila Pa 1976). 2013 Jul 15;38(16):1393-400. doi: 10.1097/BRS.0b013e3182959b68.

8.

International classification of disease clinical modification 9 modeling of a patient comorbidity score predicts incidence of perioperative complications in a nationwide inpatient sample assessment of complications in spine surgery.

Chitale R, Campbell PG, Yadla S, Whitmore RG, Maltenfort MG, Ratliff JK.

J Spinal Disord Tech. 2015 May;28(4):126-33. doi: 10.1097/BSD.0b013e318270dad7.

PMID:
22960417
9.

Determining the quality and effectiveness of surgical spine care: patient satisfaction is not a valid proxy.

Godil SS, Parker SL, Zuckerman SL, Mendenhall SK, Devin CJ, Asher AL, McGirt MJ.

Spine J. 2013 Sep;13(9):1006-12. doi: 10.1016/j.spinee.2013.04.008. Epub 2013 May 16.

PMID:
23685216
10.

Predicting Occurrence of Spine Surgery Complications Using "Big Data" Modeling of an Administrative Claims Database.

Ratliff JK, Balise R, Veeravagu A, Cole TS, Cheng I, Olshen RA, Tian L.

J Bone Joint Surg Am. 2016 May 18;98(10):824-34. doi: 10.2106/JBJS.15.00301.

PMID:
27194492
11.

Morbidity and mortality of major adult spinal surgery. A prospective cohort analysis of 942 consecutive patients.

Street JT, Lenehan BJ, DiPaola CP, Boyd MD, Kwon BK, Paquette SJ, Dvorak MF, Rampersaud YR, Fisher CG.

Spine J. 2012 Jan;12(1):22-34. doi: 10.1016/j.spinee.2011.12.003. Epub 2011 Dec 29.

PMID:
22209243
12.
13.

Using the spine surgical invasiveness index to identify risk of surgical site infection: a multivariate analysis.

Cizik AM, Lee MJ, Martin BI, Bransford RJ, Bellabarba C, Chapman JR, Mirza SK.

J Bone Joint Surg Am. 2012 Feb 15;94(4):335-42. doi: 10.2106/JBJS.J.01084.

14.

ASA grade and Charlson Comorbidity Index of spinal surgery patients: correlation with complications and societal costs.

Whitmore RG, Stephen JH, Vernick C, Campbell PG, Yadla S, Ghobrial GM, Maltenfort MG, Ratliff JK.

Spine J. 2014 Jan;14(1):31-8. doi: 10.1016/j.spinee.2013.03.011. Epub 2013 Apr 17.

PMID:
23602377
15.

Patient-reported outcomes 3 months after spine surgery: is it an accurate predictor of 12-month outcome in real-world registry platforms?

Parker SL, Asher AL, Godil SS, Devin CJ, McGirt MJ.

Neurosurg Focus. 2015 Dec;39(6):E17. doi: 10.3171/2015.9.FOCUS15356.

PMID:
26621415
16.

Spine surgeon specialty is not a risk factor for 30-day complication rates in single-level lumbar fusion: a propensity score-matched study of 2528 patients.

Kim BD, Edelstein AI, Hsu WK, Lim S, Kim JY.

Spine (Phila Pa 1976). 2014 Jul 1;39(15):E919-27. doi: 10.1097/BRS.0000000000000394.

PMID:
24827522
17.

Risk Factors Associated With 30-day Readmissions After Instrumented Spine Surgery in 14,939 Patients: 30-day readmissions after instrumented spine surgery.

Akins PT, Harris J, Alvarez JL, Chen Y, Paxton EW, Bernbeck J, Guppy KH.

Spine (Phila Pa 1976). 2015 Jul 1;40(13):1022-32. doi: 10.1097/BRS.0000000000000916.

PMID:
25856262
18.

Patient comorbidity score predicting the incidence of perioperative complications: assessing the impact of comorbidities on complications in spine surgery.

Campbell PG, Yadla S, Nasser R, Malone J, Maltenfort MG, Ratliff JK.

J Neurosurg Spine. 2012 Jan;16(1):37-43. doi: 10.3171/2011.9.SPINE11283. Epub 2011 Oct 28.

PMID:
22035101
19.

Medicaid status is associated with higher surgical site infection rates after spine surgery.

Manoso MW, Cizik AM, Bransford RJ, Bellabarba C, Chapman J, Lee MJ.

Spine (Phila Pa 1976). 2014 Sep 15;39(20):1707-13. doi: 10.1097/BRS.0000000000000496.

20.

Risk factors for immediate postoperative complications and mortality following spine surgery: a study of 3475 patients from the National Surgical Quality Improvement Program.

Schoenfeld AJ, Ochoa LM, Bader JO, Belmont PJ Jr.

J Bone Joint Surg Am. 2011 Sep 7;93(17):1577-82. doi: 10.2106/JBJS.J.01048.

PMID:
21915571

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