Literature DB >> 25084467

What clinical factors predict the incidence of deep venous thrombosis and pulmonary embolism in neurosurgical patients?

John D Rolston1, Seunggu J Han, Orin Bloch, Andrew T Parsa.   

Abstract

OBJECTIVES: Venous thromboembolisms (VTEs) occur frequently in surgical patients and can manifest as pulmonary emboli (PEs) or deep venous thromboses (DVTs). While many medical therapies have been shown to prevent VTEs, neurosurgeons are concerned about the use of anticoagulants in the postoperative setting. To better understand the prevalence of and the patient-level risk factors for VTE, the authors analyzed data from the National Surgical Quality Improvement Program (NSQIP).
METHODS: Retrospective data on 1,777,035 patients for the years from 2006 to 2011 were acquired from the American College of Surgeons NSQIP database. Neurosurgical cases were extracted by querying the data for which the surgical specialty was listed as "neurological surgery." Univariate statistics were calculated using the chi-square test, with 95% confidence intervals used for the resultant risk ratios. Multivariate models were constructed using binary logistic regression with a maximum number of 20 iterations.
RESULTS: Venous thromboembolisms were found in 1.7% of neurosurgical patients, with DVTs roughly twice as common as PEs (1.3% vs 0.6%, respectively). Significant independent predictors included ventilator dependence, immobility (that is, quadriparesis, hemiparesis, or paraparesis), chronic steroid use, and sepsis. The risk of VTE was significantly higher in patients who had undergone cranial procedures (3.4%) than in those who had undergone spinal procedures (1.1%).
CONCLUSIONS: Venous thromboembolism is a common complication in neurosurgical patients, and the frequency has not changed appreciably over the past several years. Many factors were identified as independently predictive of VTEs in this population: ventilator dependence, immobility, and malignancy. Less anticipated predictors included chronic steroid use and sepsis. Venous thromboembolisms appear significantly more likely to occur in patients undergoing cranial procedures than in those undergoing spinal procedures. A better appreciation of the prevalence of and the risk factors for VTEs in neurosurgical patients will allow targeting of interventions and a better understanding of which patients are most at risk.

Entities:  

Keywords:  ACS = American College of Surgeons; COPD = chronic obstructive pulmonary disease; DVT = deep venous thrombosis; NSQIP = National Surgical Quality Improvement Program; PE = pulmonary embolus; SIRS = systemic inflammatory response syndrome; VTE = venous thromboembolism; complication; deep venous thrombosis; pulmonary embolus; quality improvement; vascular disorders; venous thromboembolism

Mesh:

Year:  2014        PMID: 25084467     DOI: 10.3171/2014.6.JNS131419

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  14 in total

1.  Efficacy and safety profiles of mechanical and pharmacological thromboprophylaxis.

Authors:  Mario Ganau; Gianfranco K I Ligarotti; Marco Meloni; Salvatore Chibbaro
Journal:  Ann Transl Med       Date:  2019-09

2.  Predictors of Venous Thromboembolism After Nonemergent Craniotomy: A Nationwide Readmission Database Analysis.

Authors:  Ian A Buchanan; Michelle Lin; Daniel A Donoho; Arati Patel; Li Ding; Arun P Amar; Steven L Giannotta; William J Mack; Frank Attenello
Journal:  World Neurosurg       Date:  2018-11-20       Impact factor: 2.104

3.  Pharmacologic thromboprophylaxis in adult patients undergoing neurosurgical interventions for preventing venous thromboembolism.

Authors:  Juan José Yepes-Nuñez; Anita Rajasekhar; Maryam Rahman; Philipp Dahm; David R Anderson; Luis Enrique Colunga-Lozano; Stephanie Ross; Meha Bhatt; Kelly Estrada Orozco; Federico Popoff; Matthew Ventresca; Angela M Barbara; Sara Balduzzi; Housne Begum; Arnav Agarwal; Wojtek Wiercioch; Robby Nieuwlaat; Gian Paolo Morgano; Holger J Schünemann
Journal:  Blood Adv       Date:  2020-06-23

4.  Venous Thromboembolism After Intraventricular Hemorrhage: Results From the CLEAR III Trial.

Authors: 
Journal:  Neurosurgery       Date:  2019-03-01       Impact factor: 4.654

Review 5.  Venous thromboembolic events in patients undergoing craniotomy for tumor resection: incidence, predictors, and review of literature.

Authors:  Lorenzo Rinaldo; Desmond A Brown; Adip G Bhargav; Aaron E Rusheen; Ryan M Naylor; Hannah E Gilder; Dileep D Monie; Stephanie J Youssef; Ian F Parney
Journal:  J Neurosurg       Date:  2019-01-04       Impact factor: 5.115

6.  Venous Thromboembolism After Degenerative Spine Surgery: A Nationwide Readmissions Database Analysis.

Authors:  Ian A Buchanan; Michelle Lin; Daniel A Donoho; Li Ding; Steven L Giannotta; Frank Attenello; William J Mack; John C Liu
Journal:  World Neurosurg       Date:  2019-01-23       Impact factor: 2.104

Review 7.  Minimally invasive surgery of the anterior skull base: transorbital approaches.

Authors:  Holger G Gassner; Franziska Schwan; Karl-Michael Schebesch
Journal:  GMS Curr Top Otorhinolaryngol Head Neck Surg       Date:  2016-07-11

8.  Venous thromboembolism and intracranial hemorrhage after craniotomy for primary malignant brain tumors: a National Surgical Quality Improvement Program analysis.

Authors:  Joeky T Senders; Nicole H Goldhaber; David J Cote; Ivo S Muskens; Hassan Y Dawood; Filip Y F L De Vos; William B Gormley; Timothy R Smith; Marike L D Broekman
Journal:  J Neurooncol       Date:  2017-10-16       Impact factor: 4.130

Review 9.  Silent pulmonary thromboembolism in neurosurgery patients: Report of 2 cases and literature review.

Authors:  Rui Tian; Jun Gao; Alof Chen; Xinjie Bao; Jian Guan; Ming Feng; Yongning Li; Wenbin Ma; Zuyuan Ren; Renzhi Wang; Junji Wei
Journal:  Medicine (Baltimore)       Date:  2016-08       Impact factor: 1.889

10.  Clinical Predictive Factors of Lower Extremity Deep Vein Thrombosis in Relative High-Risk Patients after Neurosurgery: A Retrospective Study.

Authors:  Juhua Li; XinZhen Ren; Xiaole Zhu; Huayu Chen; Zhen Lin; Mei Huang; Zejuan Gu
Journal:  Dis Markers       Date:  2020-06-04       Impact factor: 3.434

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