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Items: 1 to 20 of 100

1.

Development and validation of prediction scores for nosocomial infections, reoperations, and adverse events in the daily clinical setting of neurosurgical patients with cerebral and spinal tumors.

Lohmann S, Brix T, Varghese J, Warneke N, Schwake M, Suero Molina E, Holling M, Stummer W, Schipmann S.

J Neurosurg. 2020 Mar 20:1-11. doi: 10.3171/2020.1.JNS193186. [Epub ahead of print]

PMID:
32197255
2.

Thirty-day readmission and reoperation after surgery for spinal tumors: a National Surgical Quality Improvement Program analysis.

Karhade AV, Vasudeva VS, Dasenbrock HH, Lu Y, Gormley WB, Groff MW, Chi JH, Smith TR.

Neurosurg Focus. 2016 Aug;41(2):E5. doi: 10.3171/2016.5.FOCUS16168.

PMID:
27476847
3.

Calibration and discrimination by daily Logistic Organ Dysfunction scoring comparatively with daily Sequential Organ Failure Assessment scoring for predicting hospital mortality in critically ill patients.

Timsit JF, Fosse JP, Troché G, De Lassence A, Alberti C, Garrouste-Orgeas M, Bornstain C, Adrie C, Cheval C, Chevret S; OUTCOMEREA Study Group, France.

Crit Care Med. 2002 Sep;30(9):2003-13.

PMID:
12352033
4.

[Analysis of death risk factors for nosocomial infection patients in an ICU: a retrospective review of 864 patients from 2009 to 2015].

Wang J, Gao P, Guo S, Liu Y, Shao L, Kang H, Zhang J, Liu S, Gao X, Cui Z.

Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2016 Aug;28(8):704-8. doi: 10.3760/cma.j.issn.2095-4352.2016.08.007. Chinese.

PMID:
27434560
5.

Perioperative adverse events following surgery for primary bone tumors of the spine and en bloc resection for metastases.

Charest-Morin R, Flexman AM, Srinivas S, Fisher CG, Street JT, Boyd MC, Ailon T, Dvorak MF, Kwon BK, Paquette SJ, Dea N.

J Neurosurg Spine. 2019 Sep 27:1-8. doi: 10.3171/2019.6.SPINE19587. [Epub ahead of print]

PMID:
31561231
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.

Assessing surgical risk for adults with congenital heart disease: are pediatric scoring systems appropriate?

Kogon B, Oster M.

J Thorac Cardiovasc Surg. 2014 Feb;147(2):666-71. doi: 10.1016/j.jtcvs.2013.09.053. Epub 2013 Nov 16.

8.

Is there a need for the Fournier's gangrene severity index? Comparison of scoring systems for outcome prediction in patients with Fournier's gangrene.

Roghmann F, von Bodman C, Löppenberg B, Hinkel A, Palisaar J, Noldus J.

BJU Int. 2012 Nov;110(9):1359-65. doi: 10.1111/j.1464-410X.2012.11082.x. Epub 2012 Apr 11.

9.

Reoperations within 48 hours following 7942 pediatric neurosurgery procedures.

Roy AK, Chu J, Bozeman C, Sarda S, Sawvel M, Chern JJ.

J Neurosurg Pediatr. 2017 Jun;19(6):634-640. doi: 10.3171/2016.11.PEDS16411. Epub 2017 Mar 31.

PMID:
28362185
10.

Preoperative Risk Stratification in Spine Tumor Surgery: A Comparison of the Modified Charlson Index, Frailty Index, and ASA Score.

Lakomkin N, Zuckerman SL, Stannard B, Montejo J, Sussman ES, Virojanapa J, Kuzmik G, Goz V, Hadjipanayis CG, Cheng JS.

Spine (Phila Pa 1976). 2019 Jul 1;44(13):E782-E787. doi: 10.1097/BRS.0000000000002970.

PMID:
31205174
12.

Development of a prediction rule for diagnosing postoperative meningitis: a cross-sectional study.

Hernández Ortiz OH, García García HI, Muñoz Ramírez F, Cardona Flórez JS, Gil Valencia BA, Medina Mantilla SE, Moreno Ochoa MJ, Sará Ochoa JE, Jaimes F.

J Neurosurg. 2018 Jan;128(1):262-271. doi: 10.3171/2016.10.JNS16379. Epub 2017 Mar 10.

PMID:
28298047
13.

[A new warning scoring system establishment for prediction of sepsis in patients with trauma in intensive care unit].

Huang Q, Sun Y, Luo L, Meng S, Chen T, Ai S, Jiang D, Liang H.

Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2019 Apr;31(4):422-427. doi: 10.3760/cma.j.issn.2095-4352.2019.04.010. Chinese.

PMID:
31109414
14.

Predicting Recurrent Hypertensive Intracerebral Hemorrhage: Derivation and Validation of a Risk-Scoring Model Based on Clinical Characteristics.

Zhang S, Zhang X, Ling Y, Li A.

World Neurosurg. 2019 Jul;127:e162-e171. doi: 10.1016/j.wneu.2019.03.024. Epub 2019 Mar 12.

PMID:
30876994
15.

Comparison of Charlson comorbidity index with SAPS and APACHE scores for prediction of mortality following intensive care.

Christensen S, Johansen MB, Christiansen CF, Jensen R, Lemeshow S.

Clin Epidemiol. 2011;3:203-11. doi: 10.2147/CLEP.S20247. Epub 2011 Jun 17.

16.

Predictors of extended length of stay, discharge to inpatient rehab, and hospital readmission following elective lumbar spine surgery: introduction of the Carolina-Semmes Grading Scale.

McGirt MJ, Parker SL, Chotai S, Pfortmiller D, Sorenson JM, Foley K, Asher AL.

J Neurosurg Spine. 2017 Oct;27(4):382-390. doi: 10.3171/2016.12.SPINE16928. Epub 2017 May 12.

PMID:
28498068
18.

Can machine learning algorithms accurately predict discharge to nonhome facility and early unplanned readmissions following spinal fusion? Analysis of a national surgical registry.

Goyal A, Ngufor C, Kerezoudis P, McCutcheon B, Storlie C, Bydon M.

J Neurosurg Spine. 2019 Jun 7:1-11. doi: 10.3171/2019.3.SPINE181367. [Epub ahead of print]

PMID:
31174185
19.

Sternal wound infection after coronary artery bypass graft surgery: validation of existing risk scores.

Paul M, Raz A, Leibovici L, Madar H, Holinger R, Rubinovitch B.

J Thorac Cardiovasc Surg. 2007 Feb;133(2):397-403.

20.

Rating organ failure via adverse events using data mining in the intensive care unit.

Silva A, Cortez P, Santos MF, Gomes L, Neves J.

Artif Intell Med. 2008 Jul;43(3):179-93. doi: 10.1016/j.artmed.2008.03.010. Epub 2008 May 16.

PMID:
18486459

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