PreprintPDF Available

Abstract and Figures

Long-term risks and survival times of ventriculoperitoneal (VP) shunts implanted due to hydrocephalus (HC) after craniotomy for brain tumors are largely unknown. The aim of this study was to establish the overall VP shunt survival rates during a decade post-shunt insertion and to determine risks of failure after brain tumor surgery in the long-term period. In this population-based cohort from a well-defined geographical region, all adult patients (> 18 years) from 2004-2013 who underwent craniotomies for intracranial tumors leading to VP shunt dependency were included. Our brain tumor database was cross-linked to procedure codes for shunt surgery (codes AAF) to extract brain tumor patients who became VP shunt dependent after craniotomy. The VP shunt survival times, i.e. the shunt longevity, was calculated from the day of shunt insertion after brain tumor surgery until the day of its failure. A total of 4174 patients underwent craniotomies, of whom 85 became VP shunt-dependent (2%) afterwards. Twenty-eight patients (33%) had one or more shunt failures during their long-term follow-up, yielding 1-, 5- and 10-year shunt success rates of 77%, 71%, and 67%, respectively. Patient age, sex, tumor location, primary/repeat craniotomy, ventricular entry, post-craniotomy hemorrhage, post-shunting meningitis/infection and multiple shunt revisions were not statistically significant risk factors for shunt failure. Median shunt longevity was 457.5 days and 21.5 days for those with and without pre-craniotomy HC, respectively (p < 0.01). This study can serve as benchmark for future studies.
Content may be subject to copyright.
Page 1/22
Long-term Risk of Shunt Failure After Brain Tumor
Surgery
Sayied Abdol Mohieb Hosainey ( mostyle1360@yahoo.com )
Oslo Universitetssykehus https://orcid.org/0000-0002-4287-4545
Benjamin Lassen Lykkedrang
Department of Radiology, Hospital of Southern Norway, Kristiansand, Norway
Torstein R Meling
Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
Research Article
Keywords: Brain tumor, Complications, Hydrocephalus, Shunt failure, VP shunt, Survival
DOI: https://doi.org/10.21203/rs.3.rs-522788/v1
License: This work is licensed under a Creative Commons Attribution 4.0 International License. 
Read Full License
Page 2/22
Abstract
Long-term risks and survival times of ventriculoperitoneal (VP) shunts implanted due to hydrocephalus
(HC) after craniotomy for brain tumors are largely unknown. The aim of this study was to establish the
overall VP shunt survival rates during a decade post-shunt insertion and to determine risks of failure after
brain tumor surgery in the long-term period. In this population-based cohort from a well-dened
geographical region, all adult patients (> 18 years) from 2004-2013 who underwentcraniotomies for
intracranial tumors leading to VP shunt dependency were included. Our brain tumor database was cross-
linked to procedure codes for shunt surgery (codes AAF) to extract brain tumor patients who became VP
shunt dependent after craniotomy. The VP shunt survival times, i.e. the shunt longevity, was calculated
from the day of shunt insertion after brain tumor surgery until the day of its failure. A total of 4174
patients underwent craniotomies, of whom 85 became VP shunt-dependent (2%) afterwards. Twenty-
eight patients (33%) had one or more shunt failures during their long-term follow-up, yielding 1-, 5- and 10-
year shunt success rates of 77%, 71%, and 67%, respectively. Patient age, sex, tumor location,
primary/repeat craniotomy, ventricular entry, post-craniotomy hemorrhage, post-shunting
meningitis/infection and multiple shunt revisions were not statistically signicant risk factors for shunt
failure. Median shunt longevity was 457.5 days and 21.5 days for those with and without pre-craniotomy
HC, respectively (p < 0.01). This study can serve as benchmark for future studies.
Introduction
Surgical resection of brain tumors is considered to be the primary choice of treatment for patients with
debilitating neurological symptoms. The ecacy of craniotomy for brain tumors has been well
established with regards to quality of life [4,2,33,28] and prolongation of life [16,27,28,39,42,43,20].
Although the primary aim may be to cure disease or restore neurological function [7], risks of surgery
such as infection [30], bleeding [22,30,15], surgical morbidity and mortality [41,2,3,30], neurological
decits [25,5,31,6] and changes to cerebrospinal uid (CSF) dynamics leading to hydrocephalus (HC) and
subsequent ventriculoperitoneal (VP) shunt dependency [19,18] remain signicant concerns to the
neurosurgeon.
VP shunt insertion is the most commonly performed procedure for treatment of HC as it provides an
immediate and effective diversion of accumulated CSF in the brain due to changes in CSF dynamics.
Even though the main goal of shunting is to provide relief of intracranial pressure and improve
symptoms, shunt-failures remain a considerable challenge. Although studies of shunt-failures with
respect to the congenital conditions in the pediatric population [23,38,26], hemorrhage-related HC [12],
idiopathic conditions [34,1] and infections [26,29] have been published, reports on risks of long-term
shunt longevity after brain tumor surgery remains scarce in the literature [37,36,12].
In this large population-based study of all adult patients who underwent brain tumor surgery from a well-
dened geographical region spanning a period of ten years, we primarily wished to determine the 1-year,
5-year and 10-year shunt-failure rates in order to determine shunt longevities in the long-term period after
Page 3/22
craniotomy for brain tumors. The secondary endpoint was to identify possible risk factors of reduced
long-term shunt longevity.
Materials And Methods
Collection of Data
In this population-based cohort, our prospectively collected database was reviewed to identify all adult
patients operated at a single regional health care center between 2004 and 2013. The following patient
demographics were recorded: age at time of shunt insertion, sex, status of hydrocephalus prior to
craniotomy (yes/no), tumor location (supratentorial/infratentorial), intra-axial or extra-axial tumor
location (established on imaging diagnostics reported by neuroradiologists), primary/repeat (secondary)
tumor resection, histology, ventricular opening during craniotomy (yes/no), post-craniotomy hemorrhage
(yes/no), post-craniotomy meningitis/infection (yes/no) and number of shunt revision procedures with
conrmed shunt failures. The rst craniotomy in a specic location was dened as primary craniotomy
and all subsequent craniotomies in the same location were dened as secondary. Therefore, a patient
could have had more than one primary craniotomy, if operated on multiple/different locations. No
patients were lost to follow-up.
In order to identify patients who underwent VP shunting after brain tumor surgery, our tumor database
was cross-linked with our surgical procedure codes database using the Nordic Medico-Statistical
Committee Classication of Surgical Procedures (NCSP) codes for CSF-related procedures (operation
codes AAF). Subsequently, ICD-10 codes (G91) were reviewed to verify each case. Those who had
biopsies and those with pre-existing VP shunts prior to their craniotomies were excluded from this study.
Time from insertion of VP shunt to shunt-failure was recorded. Suspicion of VP shunt-failure was initially
based on clinical signs and symptoms of altered intracranial pressure and radiological signs of
ventricular enlargement as depicted on CT and/or MR imaging including T2/FLAIR weighted sequences.
A conrmed shunt-failure was if/when patients underwent a shunt revision procedure resulting in a
replacement of the whole shunt or in part by its individual components such as catheter replacement, as
a result of blockage and/or change or replacement of shunt valve. Otherwise, if the shunt was only tested
for functionality without any replacements, shunt malfunction was ruled out. All patients underwent
either MRI or CT head imaging at time of suspected shunt-failure.
For patients with conrmed shunt-failure, we reviewed operation notes to determine whether the ventricles
were opened during craniotomy for brain tumor in order to analyze this as a potential risk factor. We also
recorded post-craniotomy hemorrhage (intraparenchymal and/or intraventricular) and infection (positive
CSF and device cultures including CSF pleiocytosis with clinical picture of infection requiring shunt
removal) to analyze as risk factors for reduced shunt longevity.
The survival time of VP shunts, dened as VP shunt-longevity, was calculated from the day of shunt
insertion post-craniotomy for brain tumor until the day of conrmed shunt failure. VP shunt-failure rates
Page 4/22
were determined at 1 year, 5 years and 10 years after shunt insertion and risk factors were analyzed with
regards to overall long-term shunt-failure. Multiple VP shunt revisions was dened as shunt revision
procedures 2 shunt revisions due to shunt-failure. We excluded duplication of patient identication
numbers (IDs) in order to avoid multiple counts of the same patient in our analyses and to account for
multiple surgical interventions on the same patient. Hence, patient-to-craniotomy ratio was ensured to be
1:1 in the nal analysis for long-term shunt longevity and risks of failure. As such, one patient could have
multiple craniotomies and multiple shunt revision procedures for analyzing risks of reduced shunt
longevity.
Statistical Analysis
For analysis of long-term VP shunt-longevity, the Kaplan-Meier method was used to construct survival
curves and was calculated from rst day of VP shunt-insertion to date of rst revision or shunt removal.
The Kaplan–Meier survival curves were also dichotomized with respect to patients with and without pre-
craniotomy hydrocephalus in the 1-year and 5-year period. Log rank test was applied to determine
statistical signicance of different risk factors for shunt-failure. Cox proportional hazard regression
models were used to identify multiple potential predictor variables with respect to time to shunt-failure.
Chi-square (X2) and Fisher’s exact test were used for comparison between categorical variables. Analysis
of variance (ANOVA) and Student’s t test were used for continuous variables. Statistical signicance was
set at p <0.05 and for all analyses the statistical software JMP (version 9.03) was used.
Results
Overall demographics
In total, 4774 craniotomies were performed on 4174 adult patients. There were 85 patients (2% of
patients) who became VP shunt dependent after brain tumor surgery. Of these, 28 patients (33%) had
shunt revision with conrmed shunt-failure in the study period and constitute the study population (Figure
1, Table 1). There were 13 males (46.4%) and 15 (53.6%) females with a median age at time of shunt-
failure of 61 years (range 26.1 – 79.8). Twelve patients (42.8%) had HC prior to craniotomy for brain
tumor, while 16 patients (57.2%) did not. Tumors were located supratentorially in 25 patients (89.3%) and
infratentorially in 3 patients (10.7%). Twenty-one patients (75%) underwent primary tumor surgery and 7
patients (25%) had repeat craniotomy for brain tumor. Nine patients (10.6%) had ventricular opening
during tumor resection, one (3.6%) of whom had a short shunt longevity. None of those with shunt-failure
had post-craniotomy hemorrhage and only 2 patients (7.1%) had shunt infections. Nine patients (32.1%)
had more than one shunt revision procedure (Table 1).
Long-term shunt longevity
Page 5/22
Overall, there were 65, 60, and 57 out of 85 patients who did not have any shunt malfunction at 1 year, 5
years and 10 years, respectively, yielding VP shunt success rates of 77%, 71% and 67% (Figure 2, Table 2).
The median shunt-longevity was 20.5, 23 and 23.5 days, at 1 year, 5 years and 10 years, respectively
(Figure 2, Table 2).
Median shunt longevity was 457.5 days and 21.5 days, respectively, for those with and without pre-
craniotomy HC (Figures 3 and 4, Table 3). Patients with pre-craniotomy HC had signicantly lower risk of
shunt-failure overall in the long-term in both univariate (HR 0.3, CI [0.1 – 0.7], p < .01) and multivariate
analysis (HR 0.2, CI [0.1 – 0.5], p < .05) compared to patients without pre-craniotomy hydrocephalus
(Figures 3 and 4, Table 3).
Risk factors for reduced long-term shunt longevity
Neither age nor sex were signicantly associated with long-term shunt failure in univariate or multivariate
analysis (Table 3). Similarly, tumor location (dichotomized into supratentorial/infratentorial compartment
and intra-axial/extra-axial tumors), primary/repeat craniotomy, ventricular entry, post-craniotomy
hemorrhage, post-shunting meningitis/infection and multiple shunt revisions/failures were not
signicantly associated with reduced shunt longevity in the long-term period (Table 3).
Discussion
The innate natural history of brain tumors or their surgical interventions may lead to HC that necessitates
temporary CSF diversion procedures, such as external ventricular drainage (EVD) and/or endoscopic third
ventriculostomy (ETV), or lead to permanent CSF diversion. Although the incidence and risk factors for
development of postoperative HC leading to VP shunt dependency of patients with and without HC prior
to a craniotomy for brain tumor have been previously described [19,18], the long-term outcomes of VP
shunts in brain tumor patients are largely unknown.
In our study, a total of 85 patients in a consecutive cohort of 4204 adult patients became VP shunt
dependent after craniotomies for brain tumors (2% of patients). Of these, 28 patients (33%) had
conrmed shunt-failures during the study period of 10 years, yielding cumulative shunt success rates at
1, 5, and 10 years of 77%, 71%, and 67%, respectively (Figure 2, Table 2). In the literature, reports of long-
term shunt-failure rates in the adult population range from 11% at 1 year up to 34% at 10 years
[24,29,45,36], with the majority of these consisting of various underlying etiologies including congenital
diseases, normal pressure hydrocephalus, trauma, tumor, intracranial cysts etc. In a nationwide study on
adult HC patients, Donoho et al. [12] found that 9% of patients required a shunt revision with a median
time to shunt revision of only 41 days. However, their study included shunts due to all underlying
conditions and 45% had shunt insertions due to obstructive HC. Furthermore, the authors did not state
whether an obstructive HC was due to brain tumors and their shunt revision rates reect the rst 6
months only. In another study by Reddy et al. [36] on VP shunt complications in HC patients with
intracranial tumors, 20% and 24% of patients experienced shunt failures requiring shunt revisions within 1
Page 6/22
year and 5 years, respectively. Our lower shunt-failure rates might be explained by inclusion of brain
tumor patients in adults only. However, the overall median time to shunt-failure was shorter in our study
as compared to that of Donoho et al. [9], but this might be explained by tumor debris and higher protein
content in the CSF of patients with brain tumors leading to shunt blockage compared to other non-
oncological conditions.
Recently, Hosainey et al. [17] studied risk factors of early VP shunt failure after brain tumor surgery and
found that patients with pre-existing, non-treated HC prior to craniotomy had a signicantly shorter shunt-
free period before denitive shunting compared to those without pre-craniotomy HC. Interestingly, in the
current study, shunted patients with HC prior to craniotomy had signicantly longer shunt survival
(Figures 3 and 4). This indicates that in patients with distinct pathologies and profoundly deranged CSF
dynamics in the early postoperative course after brain tumor surgery, early VP shunting may serve as
‘prophylaxis’ against further CSF disturbances in the future and hence give prolonged shunt longevity due
to early ‘normalized’ hydrodynamics by shunting. The median shunt longevity was 457.5 days and 21.5
days for those with and without untreated HC pre-craniotomy, respectively (Figures 3 and 4). In the
literature, median shunt survival times range from 19 days in the short-term up to 20.1 years in the long-
term [35,29,8,24,12]. However, these studies were not limited to brain tumor patients and include a
plethora of underlying conditions. Early changes to CSF dynamics as a result of overloading venous
outow and CSF pathway obstruction caused by disease burden has been described in the literature
[40,44]. Further neuronal cell death may also ensue [10,11] if the disease process is left untreated. This
requires early VP shunt insertion in order to normalize intracranial processes and avoid brain damage
caused by a disrupted hydrocephalic state. Nonetheless, another plausible explanation may be that
although some patients with pre- and post-craniotomy HC underwent shunting in the early postoperative
course, they might have experienced spontaneous resolution of their hydrocephalic condition in the long-
term period. Therefore, a ‘silent’ shunt obstruction may have ensued, making them effectively shunt-
independent, wherefore a shunt obstruction would be unnoticed due to lack of signs and symptoms.
Neither patient age at time of shunt placement nor sex were associated with reduced shunt longevity
(Table 3). Male gender has been associated with increased risk of shunt dysfunction [29,45], but it is not
known if this was related to intracranial tumors. In a study by Reddy et al. [36] of VP shunt complications
for hydrocephalus in patients with intracranial tumors, males had signicantly lower 3- or 6-month
survival rates compared to females (p < 0.001). This is in contrast to our ndings. They also reported a
2% decrease in odds of shunt-failure with increasing age at time of shunt insertion [36]. Comparatively,
some studies have associated younger age with higher risk of shunt-failure [12,36], whereas others have
not reached this conclusion regarding age in the short-term [1,13,17] nor in the long-term period after
shunting [24].
Tumor location was not signicantly associated with reduced shunt longevity despite dichotomizations
into supratentorial/infratentorial and intra-axial/extra-axial tumor location (Table 3). Although somewhat
surprising, this is in line with previous studies that did not nd extra-axial/intra-axial tumor location to be
signicantly associated with early shunt-failure after craniotomy for brain tumor [17]. In contrast, Khan et
Page 7/22
al. [24] studied factors affecting shunt survival in adults and found that extra-axial tumors were more
common (13.2%) than intra-axial tumors (9.7%), but in line with our results, they reported that brain tumor
location was not a signicant risk factor of shunt failure.
With respect to tumor histology, several extra-axial tumors such as choroid plexus tumors,
craniopharyngiomas [19] and schwannomas [14], and periventricular intra-axial tumors [21] have been
reported to have increased risk of postoperative HC and shunt dependency. Additional stratied risk
analysis into those with and without pre-craniotomy HC did not reveal intra-axial/extra-axial tumors as
statistically signicant risk factors for reduced long-term shunt longevity in our study. Nonetheless,
similar reports are scarce in the literature making comparative analysis to our study dicult.
In our study, meningiomas had the highest incidence of shunt failure during follow-up (Table 1).
Interestingly, these are extra-axial tumors and not usually located in the ventricles, but they might cause
signicant CSF dynamics changes after craniotomy if the tumor volume is large, particularly in the
posterior fossa region, or if the area of resected/coagulated dura is large. Reddy et al. [36] reported that
patients with benign tumors had higher risk of shunt revision, probably because of a shorter survival rate
among patients with malignant brain tumors. In the above-mentioned study by Khan et al. [24], the effect
of brain tumor histology did not reach statistical signicance (p = 0.062). In the same vein, Rinaldo et al.
[37] found no difference in the incidence of shunt revision surgery in high grade glioma patients as
compared to NPH patients. We believe that the lower number of malignant brain tumor patients with
reduced shunt longevity in our study might be due to the short overall survival of these patients, rendering
shunt procedures futile when they present at advanced stages in the disease process. In addition to
clinical diagnosis of shunt dysfunction, these patients may also suffer from ventriculomegaly as a
consequence of radiation-induced brain atrophy, which is diagnosed radiologically. Lastly, patients with
high grade gliomas invariably see clinical deterioration due to tumor progression and a shunt dysfunction
in this context may be overlooked.
In our study, primary/secondary surgery for brain tumor was not signicantly associated with increased
risk of reduced long-term shunt longevity (Table 3). Secondary/repeat surgery has been reported as a risk
factor for postoperative HC and subsequent VP shunt dependency in patients with pre-craniotomy
hydrocephalus [19] and one would expect repeat surgical intervention for recurrent brain tumor to cause
even more CSF disturbance and shunt-failures. However, only seven patients in our study cohort
underwent repeat craniotomy for brain tumor, leaving a low statistical power and a high risk of a
statistical error type II.
Only 2 patients (7.1%) had shunt infection during the follow-up (Table 1). Although post-shunting
meningitis/infection was not signicantly associated with reduced shunt longevity (Table 3), infection
has been shown to be associated with higher risk of shunt failure in some studies [29]. Our rates of
infection lie in the upper range of published reports [1,26,29,24], which can be explained by our inclusion
criteria of adult patients with brain tumors only. However, the number of patients with infection were too
few for adequate statistical power, possibly giving rise to false negative results in our study. Most of the
Page 8/22
shunt revisions happened during the rst year after shunt insertion (Table 2). Whereas some have
reported shunt-failures in the rst 6 months [13,26,29,35], others have reported within the rst year [32].
Nine patients in the study cohort (32.1%) underwent multiple shunt revisions ( 2 revisions) (Table 1), in
keeping with other reports [45]. Korinek et al. [29] reported that previous shunt revision was an
independent risk factor for infection leading to failure and Reddy et al. [36] reported single shunt revision
procedures in 25 patients (13.4%) and multiple shunt revisions in 27 patients (14.4%) after initial shunt
placement. Reddy et al. [36] also found that odds for multiple revisions among those with shunt system
replacements were signicantly higher (OR 24.39, p < 0.01) than those without any shunt replacement.
They also showed that infection, shunt valve replacement and externalization were also signicantly
associated with multiple revisions. However, the signicance was lost when the data was adjusted for the
effects of other risk factors such as shunt system replacement and proximal shunt complication. Our
study did not nd that multiple revisions procedures ( 2 revision surgeries) were signicantly associated
with reduced shunt-longevity in the long-term (Table 3).
Strength And Limitations Of The Study
Our centralized neurosurgical health care center at Oslo University Hospital (Rikshospitalet and Ullevål)
has a population-based referral of patients from a well-dened geographical region of Norway with
approximately 2.8 million inhabitants. This reduces possible confounding effects of differences in
access to health care services. As there is only one main neurosurgical department performing
neurosurgical procedures from a dened geographical area, selection bias is avoided, which are
inherently present in multicenter studies. Our study is unique in that we did not nd any other large-scale
studies with focus on analysis of long-term shunt longevity and possible risks associated with shunt-
failure after craniotomies for brain tumors where all patients are included regardless of tumor histology.
There is no selection bias, as the study includes all craniotomies performed within the study period from
a histologically veriable intracranial tumor. The design of our study is a retrospective analysis of a
prospectively collected database. Additionally, by cross-linking our tumor database with the registry for
neurosurgical procedures, we have included all craniotomies leading to shunt-dependency and have been
able to perform shunt-survival and risk analysis as per our main aims of the study. Finally, no patients
have been lost to follow up and to the extent of our knowledge, this is the largest study with respect to
analyzing long-term shunt-survival and risks associated with shunt-failure in patients whom became
shunt-dependent after craniotomy for brain tumors.
The foremost limitation of this study is its retrospective analysis of prospectively collected data.
Surgeon’s preferences with regards to treating hydrocephalus and timing of shunt revision might be a
potential selection bias. Other variables such as tumor volume, shunt valve type and whether proximal or
distal catheter malfunction/block were the cause of shunt-failure were not included in our analyses. The
analysis of images with regards to shunt-failure was not performed in an automatized manner, due to
lack of comparability across the different imaging modalities in absence of age-adjusted normal values
and due to lack of comparability across the different imaging modalities. Even though CT/MRI was
Page 9/22
available for all patients included in the study, the presence or absence of ventriculomegaly leading to
shunt-failure and subsequent revision may have been limited by human error. Adjuvant treatments such
as radiotherapy, chemotherapy and coexisting comorbidities were not included in the analyses, which
may contribute to the risks and rates associated with reduced shunt longevity in the long-term period.
Although being a large study, the number of patients might be so low in thenal analyses giving rise to
statistical type I and II errors, thus failing to identify true prognostic factors for shunt-failures. As most
published reports in the literature are biased with limitations to certain patient groups, tumor histologies
and accounting for overall shunt-failure rates, comparative analysis to our study was dicult. Our study
was conned only to adults whom had undergone craniotomies for brain tumors.
Conclusions
The overall 10-year shunt success rate after brain tumor surgery was 67%. Median shunt longevities were
457.5 days and 21.5 days in those with and without pre-craniotomy hydrocephalus. Patients with pre-
craniotomy hydrocephalus had signicantly longer shunt longevity than those without pre-craniotomy
hydrocephalus. Early ‘prophylactic’ shunting of patient with persisting hydrocephalus after brain tumor
surgery may yield prolonged shunt longevity in the long-term. This study can serve as benchmark for
future studies.
Declarations
Funding
There are no nancial disclosures concerning the materials or methods used in this study or the ndings
specied in this paper.
Conict of interest
The authors declare that they have no conict of interest
Availability of data and material
Data may be given upon reasonable request
Code availability
Not applicable
Ethical approval
Page 10/22
The study has been approved by the institutional ethics committee (Personvernombudets tilrådning
2013/14574)
Consent to participate
Not applicable
Consent for publication
Not applicable
Authors’ contributions
Concept and design: Sayied Abdol Mohieb Hosainey, Torstein R Meling. Material preparation and data
collection: Sayied Abdol Mohieb Hosainey, Torstein R Meling. Data analysis: all authors. Original draft
preparation: Sayied Abdol Mohieb Hosainey. Manuscript review and editing: all authors. Supervision:
Torstein R Meling. All authors reviewed and commented on previous versions of the manuscript. All
authors read and approved the nal version of the manuscript.
References
1. Anderson IA, Saukila LF, Robins JMW, Akhunbay-Fudge CY, Goodden JR, Tyagi AK, Phillips N,
Chumas PD (2018) Factors associated with 30-day ventriculoperitoneal shunt failure in pediatric and
adult patients. J Neurosurg 130:145-153. doi:10.3171/2017.8.JNS17399
2. Barker FG, 2nd (2004) Craniotomy for the resection of metastatic brain tumors in the U.S., 1988-
2000: decreasing mortality and the effect of provider caseload. Cancer 100:999-1007.
doi:10.1002/cncr.20058
3. Barker FG, 2nd, Chang SM, Gutin PH, Malec MK, McDermott MW, Prados MD, Wilson CB (1998)
Survival and functional status after resection of recurrent glioblastoma multiforme. Neurosurgery
42:709-720; discussion 720-703
4. Benz LS, Wrensch MR, Schildkraut JM, Bondy ML, Warren JL, Wiemels JL, Claus EB (2018) Quality of
life after surgery for intracranial meningioma. Cancer 124:161-166. doi:10.1002/cncr.30975
5. Chang SM, Parney IF, McDermott M, Barker FG, 2nd, Schmidt MH, Huang W, Laws ER, Jr., Lillehei KO,
Bernstein M, Brem H, Sloan AE, Berger M, Glioma Outcomes I (2003) Perioperative complications and
neurological outcomes of rst and second craniotomies among patients enrolled in the Glioma
Outcome Project. J Neurosurg 98:1175-1181. doi:10.3171/jns.2003.98.6.1175
. Corell A, Thurin E, Skoglund T, Farahmand D, Henriksson R, Rydenhag B, Gulati S, Bartek J, Jr., Jakola
AS (2019) Neurosurgical treatment and outcome patterns of meningioma in Sweden: a nationwide
Page 11/22
registry-based study. Acta Neurochir (Wien) 161:333-341. doi:10.1007/s00701-019-03799-3
7. Corniola MV, Bouthour W, Vargas MI, Meling TR (2021) Visual eld restoration after Simpson grade I
resection of symptomatic occipital lobe meningioma: illustrative case and review of the literature.
Acta Neurochir (Wien) 163:67-71. doi:10.1007/s00701-020-04569-2
. Dave P, Venable GT, Jones TL, Khan NR, Albert GW, Chern JJ, Wheelus JL, Governale LS, Huntoon
KM, Maher CO, Bruzek AK, Mangano FT, Mehta V, Beaudoin W, Naftel RP, Basem J, Whitney A,
Shimony N, Rodriguez LF, Vaughn BN, Klimo P (2019) The Preventable Shunt Revision Rate: A
Multicenter Evaluation. Neurosurgery 84:788-798. doi:10.1093/neuros/nyy263
9. de Bont JM, Vanderstichele H, Reddingius RE, Pieters R, van Gool SW (2008) Increased total-Tau
levels in cerebrospinal uid of pediatric hydrocephalus and brain tumor patients. Eur J Paediatr
Neurol 12:334-341. doi:10.1016/j.ejpn.2007.09.007
10. Del Bigio MR, Zhang YW (1998) Cell death, axonal damage, and cell birth in the immature rat brain
following induction of hydrocephalus. Exp Neurol 154:157-169. doi:10.1006/exnr.1998.6922
11. Ding Y, McAllister JP, 2nd, Yao B, Yan N, Canady AI (2001) Neuron tolerance during hydrocephalus.
Neuroscience 106:659-667
12. Donoho DA, Buchanan IA, Patel A, Ding L, Cen S, Wen T, Giannotta SL, Attenello F, Mack WJ (2019)
Early Readmission After Ventricular Shunting in Adults with Hydrocephalus: A Nationwide
Readmission Database Analysis. World Neurosurg 128:e38-e50. doi:10.1016/j.wneu.2019.03.217
13. Farahmand D, Hilmarsson H, Hogfeldt M, Tisell M (2009) Perioperative risk factors for short term
shunt revisions in adult hydrocephalus patients. J Neurol Neurosurg Psychiatry 80:1248-1253.
doi:10.1136/jnnp.2007.141416
14. Gerganov VM, Pirayesh A, Nouri M, Hore N, Luedemann WO, Oi S, Samii A, Samii M (2011)
Hydrocephalus associated with vestibular schwannomas: management options and factors
predicting the outcome. Journal of neurosurgery 114:1209-1215
15. Gerlach R, Raabe A, Scharrer I, Meixensberger J, Seifert V (2004) Post-operative hematoma after
surgery for intracranial meningiomas: causes, avoidable risk factors and clinical outcome. Neurol
Res 26:61-66. doi:10.1179/016164104773026543
1. Helseth R, Helseth E, Johannesen TB, Langberg CW, Lote K, Ronning P, Scheie D, Vik A, Meling TR
(2010) Overall survival, prognostic factors, and repeated surgery in a consecutive series of 516
patients with glioblastoma multiforme. Acta Neurol Scand 122:159-167. doi:10.1111/j.1600-
0404.2010.01350.x
17. Hosainey SAM, Hald JK, Meling TR (2021) Risk of early failure of VP shunts implanted for
hydrocephalus after craniotomies for brain tumors in adults. Neurosurgical Review.
doi:10.1007/s10143-021-01549-7
1. Hosainey SAM, Lassen B, Hald JK, Helseth E, Meling TR (2018) Risk factors for new-onset shunt-
dependency after craniotomies for intracranial tumors in adult patients. Neurosurg Rev 41:465-472.
doi:10.1007/s10143-017-0869-1
Page 12/22
19. Hosainey SAM, Lassen B, Hald JK, Helseth E, Meling TR (2020) The effect of tumor removal via
craniotomies on preoperative hydrocephalus in adult patients with intracranial tumors. Neurosurg
Rev 43:141-151. doi:10.1007/s10143-018-1021-6
20. Jakola AS, Myrmel KS, Kloster R, Torp SH, Lindal S, Unsgard G, Solheim O (2012) Comparison of a
strategy favoring early surgical resection vs a strategy favoring watchful waiting in low-grade
gliomas. JAMA 308:1881-1888. doi:10.1001/jama.2012.12807
21. John JK, Robin AM, Pabaney AH, Rammo RA, Schultz LR, Sadry NS, Lee IY (2017) Complications of
ventricular entry during craniotomy for brain tumor resection. Journal of neurosurgery 127:426-432
22. Kalfas IH, Little JR (1988) Postoperative hemorrhage: a survey of 4992 intracranial procedures.
Neurosurgery 23:343-347
23. Kestle JR, Walker ML, Strata I (2005) A multicenter prospective cohort study of the Strata valve for
the management of hydrocephalus in pediatric patients. J Neurosurg 102:141-145.
doi:10.3171/jns.2005.102.2.0141
24. Khan F, Rehman A, Shamim MS, Bari ME (2015) Factors affecting ventriculoperitoneal shunt survival
in adult patients. Surg Neurol Int 6:25. doi:10.4103/2152-7806.151388
25. Kim SS, McCutcheon IE, Suki D, Weinberg JS, Sawaya R, Lang FF, Ferson D, Heimberger AB, DeMonte
F, Prabhu SS (2009) Awake craniotomy for brain tumors near eloquent cortex: correlation of
intraoperative cortical mapping with neurological outcomes in 309 consecutive patients.
Neurosurgery 64:836-845; discussion 345-836. doi:10.1227/01.NEU.0000342405.80881.81
2. Kofoed Mansson P, Johansson S, Ziebell M, Juhler M (2017) Forty years of shunt surgery at
Rigshospitalet, Denmark: a retrospective study comparing past and present rates and causes of
revision and infection. BMJ Open 7:e013389. doi:10.1136/bmjopen-2016-013389
27. Konglund A, Helseth R, Lund-Johansen M, Helseth E, Meling TR (2013) Surgery for high-grade
gliomas in the aging. Acta Neurol Scand 128:185-193. doi:10.1111/ane.12105
2. Konglund A, Rogne SG, Lund-Johansen M, Scheie D, Helseth E, Meling TR (2013) Outcome following
surgery for intracranial meningiomas in the aging. Acta Neurol Scand 127:161-169.
doi:10.1111/j.1600-0404.2012.01692.x
29. Korinek AM, Fulla-Oller L, Boch AL, Golmard JL, Hadiji B, Puybasset L (2011) Morbidity of ventricular
cerebrospinal uid shunt surgery in adults: an 8-year study. Neurosurgery 68:985-994; discussion
994-985. doi:10.1227/NEU.0b013e318208f360
30. Lassen B, Helseth E, Ronning P, Scheie D, Johannesen TB, Maehlen J, Langmoen IA, Meling TR
(2011) Surgical mortality at 30 days and complications leading to recraniotomy in 2630 consecutive
craniotomies for intracranial tumors. Neurosurgery 68:1259-1268; discussion 1268-1259.
doi:10.1227/NEU.0b013e31820c0441
31. Lemee JM, Corniola MV, Da Broi M, Schaller K, Meling TR (2019) Early Postoperative Complications
in Meningioma: Predictive Factors and Impact on Outcome. World Neurosurg 128:e851-e858.
doi:10.1016/j.wneu.2019.05.010
Page 13/22
32. Merkler AE, Ch'ang J, Parker WE, Murthy SB, Kamel H (2017) The rate of complications after
ventriculoperitoneal shunt surgery. World neurosurgery 98:654-658
33. Nitta T, Sato K (1995) Prognostic implications of the extent of surgical resection in patients with
intracranial malignant gliomas. Cancer 75:2727-2731
34. Pujari S, Kharkar S, Metellus P, Shuck J, Williams MA, Rigamonti D (2008) Normal pressure
hydrocephalus: long-term outcome after shunt surgery. J Neurol Neurosurg Psychiatry 79:1282-1286.
doi:10.1136/jnnp.2007.123620
35. Reddy GK, Bollam P, Caldito G (2014) Long-term outcomes of ventriculoperitoneal shunt surgery in
patients with hydrocephalus. World Neurosurg 81:404-410. doi:10.1016/j.wneu.2013.01.096
3. Reddy GK, Bollam P, Caldito G, Willis B, Guthikonda B, Nanda A (2011) Ventriculoperitoneal shunt
complications in hydrocephalus patients with intracranial tumors: an analysis of relevant risk
factors. J Neurooncol 103:333-342. doi:10.1007/s11060-010-0393-4
37. Rinaldo L, Brown D, Lanzino G, Parney IF (2018) Outcomes following cerebrospinal uid shunting in
high-grade glioma patients. J Neurosurg 129:984-996. doi:10.3171/2017.6.JNS17859
3. Riva-Cambrin J, Kestle JR, Holubkov R, Butler J, Kulkarni AV, Drake J, Whitehead WE, Wellons JC, 3rd,
Shannon CN, Tamber MS, Limbrick DD, Jr., Rozzelle C, Browd SR, Simon TD, Hydrocephalus Clinical
Research N (2016) Risk factors for shunt malfunction in pediatric hydrocephalus: a multicenter
prospective cohort study. J Neurosurg Pediatr 17:382-390. doi:10.3171/2015.6.PEDS14670
39. Rogne SG, Ronning P, Helseth E, Johannesen TB, Langberg CW, Lote K, Scheie D, Meling TR (2012)
Craniotomy for brain metastases: a consecutive series of 316 patients. Acta Neurol Scand 126:23-
31. doi:10.1111/j.1600-0404.2011.01590.x
40. Rossitti S (2013) Pathophysiology of increased cerebrospinal uid pressure associated to brain
arteriovenous malformations: The hydraulic hypothesis. Surg Neurol Int 4:42. doi:10.4103/2152-
7806.109657
41. Sawaya R, Hammoud M, Schoppa D, Hess KR, Wu SZ, Shi WM, Wildrick DM (1998) Neurosurgical
outcomes in a modern series of 400 craniotomies for treatment of parenchymal tumors.
Neurosurgery 42:1044-1055; discussion 1055-1046
42. Stummer W, Pichlmeier U, Meinel T, Wiestler OD, Zanella F, Reulen HJ, Group AL-GS (2006)
Fluorescence-guided surgery with 5-aminolevulinic acid for resection of malignant glioma: a
randomised controlled multicentre phase III trial. Lancet Oncol 7:392-401. doi:10.1016/S1470-
2045(06)70665-9
43. Vecht CJ, Avezaat CJ, van Putten WL, Eijkenboom WM, Stefanko SZ (1990) The inuence of the
extent of surgery on the neurological function and survival in malignant glioma. A retrospective
analysis in 243 patients. J Neurol Neurosurg Psychiatry 53:466-471
44. Williams H (2008) The venous hypothesis of hydrocephalus. Med Hypotheses 70:743-747.
doi:10.1016/j.mehy.2007.08.013
45. Wu Y, Green NL, Wrensch MR, Zhao S, Gupta N (2007) Ventriculoperitoneal shunt complications in
California: 1990 to 2000. Neurosurgery 61:557-563
Page 14/22
Tables
Table 1. Overview characteristics of patients with post-craniotomy VP shunt dependency and reduced
shunt longevity.
Page 15/22
 Total VP shunt dependency after
craniotomy (N/%) VP shunt
failure (N/%) No VP shunt
failure (N/%)
Total 85 28 57
Age (median yrs) 61.9 61.0 62.7
Sex
 Male
 Female
44 (51.8)
41 (48.2)
13 (46.4)
15 (53.6)
27 (47.4)
30 (52.6)
Pre-craniotomy
hydrocephalus
 No
 Yes
46 (54.1)
39 (45.9)
16 (57.2)
12 (42.8)
30 (52.6)
27 (47.4)
Tumor location
 Supratentorial
 Infratentorial
68 (80.0)
17 (20.0)
25 (89.3)
3 (10.7)
47 (82.5)
10 (17.5)
Extra-axial tumor
Intra-axial tumor
33 (38.8)
52 (61.2)
14 (50.0)
14 (50.0)
19 (33.3)
38 (66.7)
Surgery
 Primary
 Secondary
64 (75.3)
21 (24.7)
21 (75.0)
7 (25.0)
43 (75.4)
14 (24.6)
Histology
 HGG
 Meningioma
 Metastasis
 Other tumors
 Ependymoma
 Craniopharyngioma
 Schwannoma
 Choroid plexus tumor
 Pituitary adenoma
 LGG
21 (24.7)
21 (24.7)
18 (21.2)
8 (9.5)
4 (4.7)
4 (4.7)
3 (3.6)
2 (2.3)
2 (2.3)
2 (2.3)
6 (21.5)
9 (32.2)
4 (14.3)
2 (7.1)
2 (7.1)
1 (3.6)
2 (7.1)
0
0
2 (7.1)
15 (26.3)
12 (21.1)
14 (24.6)
6 (10.5)
2 (3.5)
3 (5.3)
1 (1.7)
2 (3.5)
2 (3.5)
0
Ventricular entry during 9 (10.6) 1 (3.6) 8 (14.0)
Page 16/22
craniotomy
Post-craniotomy
bleeding 8 (9.4) 0 8 (14.0)
Post-craniotomy
infection 4 (4.7) 2 (7.1) 2 (3.5)
Multiple ( 2) shunt
revisions 9 (32.1) 0
Abbreviations: EVD = external ventricular drainage; ETV = endoscopic third ventriculostomy; HGG = high
grade glioma; LGG = low grade glioma; VP = ventriculoperitoneal.
Table 2. Shunt longevity time frames of selected variables after craniotomy for brain tumor.
Page 17/22
1 year post VP-
shunting 5 years post VP-
shunting 10 years post VP-
shunting
Patients with shunt-failure
(N) 20 5 3
Shunt-failure rate
(cumulative %) 23 29 33
Sex (N/%)
 Male
 Female
12 (60)
8 (40)
1 (20)
4 (80)
0
3 (100)
Shunt longevity daysa20.5 23.0 23.5
HC prior to craniotomy
(N/%)
 Yesb
 Noc
5 (25)
15 (75)
4 (80)
1 (20)
3 (100)
0
Tumor location (N/%)
 Supratentorial
 Infratentorial
18 (90)
2 (10)
4 (80)
1 (20)
3 (100)
0
Intra-axial (N/%)
Extra-axial (N/%)
9 (45)
11 (55)
3 (60)
2 (40)
2 (67)
1 (33)
Surgery (N/%)
 Primary
 Secondary
15 (75)
5 (25)
3 (60)
2 (40)
3 (100)
0
a: Time given as median unless otherwise specied
b: Cases with persisting postoperative HC (after craniotomy) requiring VP shunting
c: Cases with
de novo
(new onset) postoperative HC requiring VP shunting
Abbreviations: HC = hydrocephalus; VP = ventriculoperitoneal.
Table 3. Long-term shunt longevity and risk analysis of shunting with univariate and multivariate
proportional hazards ration model
Page 18/22
  Risk of long-term shunt-failure
Univariate (HR, CI[95%]) Multivariate (HR, CI[95%])
Age at time of shunt failure 1.0 [0.9 – 1.1] 1.0 [0.9 – 1.1]
Sex
 Male
 Female
1
0.5 [0.2 – 1.2]
1
0.9 [0.3 – 2.8]
Pre-craniotomy HC
 No
 Yes
1
0.3 [0.1 – 0.7] a
1
0.2 [0.1 – 0.6] b
Tumor location
 Supratentorial
 Infratentorial
1
0.8 [0.2 – 2.3]
1
0.6 [0.1 – 3.7]
Intra-axial tumor
Extra-axial tumor
1
0.9 [0.4 – 2.0]
1
0.5 [0.1 – 1.6]
Surgery
 Primary
 Secondary
1
1.1 [0.4 – 2.3]
1
0.5 [0.1 – 2.1]
Ventricular opening at craniotomy
 No
 Yes
1
1.2 [0.1 – 6.1]
1
1.4 [0.1 – 12.4]
Post-craniotomy haemorrhage
 No
 Yes
c
c
c
c
Post-craniotomy meningitis/infection
 No
 Yes
1
8.5 [0.5 – 66.3]
1
c
Multiple revisions ( 2 procedures)
 No
 Yes
1
1.3 [0.5 – 2.8]
1
0.4 [0.1 – 2.3]
Page 19/22
a: p < .01
b: p < .05
c: too few cases in variable parameters to determine HR for long term shunt longevity
Figures
Figure 1
Flowchart illustrating all cases leading to VP shunt dependency and subsequently VP shunt-failure within
the study period.
Page 20/22
Figure 2
Kaplan – Meier curve showing overall 10-year shunt longevity for all patients in the entire study period.
Page 21/22
Figure 3
Kaplan – Meier curves demonstrating 1-year shunt longevity. Red continuous and blue dotted lines
represent patients with and without pre-craniotomy hydrocephalus, respectively.
Page 22/22
Figure 4
Kaplan – Meier curves demonstrating 5-year shunt longevity. Red continuous and blue dotted lines
represent patients with and without pre-craniotomy hydrocephalus, respectively.
ResearchGate has not been able to resolve any citations for this publication.
Article
Full-text available
Risks and survival times of ventriculoperitoneal (VP) shunts implanted due to hydrocephalus after craniotomies for brain tumors are largely unknown. The purpose of this study was to determine the overall timing of VP shunting and its failure after craniotomy for brain tumors in adults. The authors also wished to explore risk factors for early VP shunt failure (within 90 days). A population-based consecutive patient cohort of all craniotomies for intracranial tumors leading to VP shunt dependency in adults (> 18 years) from 2004 to 2013 was studied. Patients with pre-existing VP shunts prior to craniotomy were excluded. The survival time of VP shunts, i.e., the shunt longevity, was calculated from the day of shunt insertion post-craniotomy for a brain tumor until the day of shunt revision requiring replacement or removal of the shunt system. Out of 4774 craniotomies, 85 patients became VP shunt-dependent (1.8% of craniotomies). Median time from craniotomy to VP shunting was 1.9 months. Patients with hydrocephalus prior to tumor resection (N = 39) had significantly shorter time to shunt insertion than those without (N = 46) (p < 0.001), but there was no significant difference with respect to early shunt failure. Median time from shunt insertion to shunt failure was 20 days (range 1–35). At 90 days, 17 patients (20%) had confirmed shunt failure. Patient age, sex, tumor location, primary/secondary craniotomy, extra-axial/intra-axial tumor, ventricular entry, post-craniotomy bleeding, and infection did not show statistical significance. The risk of early shunt failure (within 90 days) of shunts after craniotomies for brain tumors was 20%. This study can serve as benchmark for future studies.
Article
Full-text available
Intracranial meningiomas mostly affect patients in their fifth decade and beyond, raising pertinent questions regarding the risk of surgery, particularly in the elderly. Here, we describe the case of a septuagenarian patient with occipital meningioma causing severe visual field cuts that experienced full recovery of the visual function after a Simpson I resection of the lesion. This case illustrates the potential of recovery of the brain, even in the case of severely impaired function in elderly patients. To complete the picture, we review the literature on occipital meningiomas, advocating for systematic reports and increase data collection on post-operative neurological recovery in the elderly.
Article
Full-text available
Background Surgery is the main treatment modality for intracranial meningiomas, but data on short-term surgical outcome are limited. The aim of this Swedish nationwide registry-based study was to benchmark the 30-day complication rate in a cohort of meningioma patients using data from the Swedish brain tumor registry (SBTR). Furthermore, we investigated outcomes for asymptomatic patients. Methods Data were collected from the SBTR for all adults with histopathologically verified intracranial meningioma between 2009 and 2015. Patient symptoms, tumor characteristics, and complications within 30 days postoperatively were analyzed. Results In total, 2324 patients, with a mean age of 58.7 years (SD 13.5), underwent surgery for intracranial meningioma and 14.1% of the patients were asymptomatic before the intervention. The most common symptom prior to treatment was focal deficit, which occurred in 1450 patients (62.4%). Moreover, within 30 days after surgery, 344 patients (14.8%) developed new neurological deficits and new-onset seizures occurred in 105 patients (4.5%), while 8.3% of asymptomatic patients developed neurological deficit and 3.7% new-onset seizures. Due to complications, reoperations were performed in 120 patients (5.2%). The postoperative 30-day mortality in the whole cohort was 1.5%. Conclusion This study benchmarks the 30-day complication rate after meningioma surgery and provides outcome data in the highly relevant group of asymptomatic patients using data from the Swedish brain tumor registry. Since surgical decision-making is a careful consideration of short-term risk versus long-term benefit, this information may be useful for both caregivers and patients.
Article
Full-text available
The efficacy of tumor removal via craniotomies on preoperative hydrocephalus (HC) in adult patients with intracranial tumors is largely unknown. Therefore, we sought to evaluate the effect of tumor resection in patients with preoperative HC and identify the incidence and risk factors for postoperative VP shunt dependency. All craniotomies for intracranial tumors at Oslo University Hospital in patients ≥ 18 years old during a 10-year period (2004–2013) were reviewed. Patients with radiologically confirmed HC requiring surgery and subsequent development of shunt dependency were identified by cross-linking our prospectively collected tumor database to surgical procedure codes for hydrocephalus treatment (AAF). Patients with preexisting ventriculoperitoneal (VP) shunts (N = 41) were excluded. From 4774 craniotomies performed on 4204 patients, a total of 373 patients (7.8%) with HC preoperatively were identified. Median age was 54.4 years (range 18.1–83.9 years). None were lost to follow-up. Of these, 10.5% (39/373) required permanent CSF shunting due to persisting postoperative HC. The risk of becoming VP shunt dependent in patients with preexisting HC was 7.0% (26/373) within 30 days and 8.9% (33/373) within 90 days. Only secondary (repeat) surgery was a significant risk factor for VP shunt dependency. In this large, contemporary, single-institution consecutive series, 10.5% of intracranial tumor patients with preoperative HC became shunt-dependent post-craniotomy, yielding a surgical cure rate for HC of 89.5%. To the best of our knowledge, this is the first and largest study regarding postoperative shunt dependency after craniotomies for intracranial tumors, and can serve as benchmark for future studies.
Article
Full-text available
Background: The Preventable Shunt Revision Rate (PSRR) was recently introduced as a novel quality metric. Objective: To evaluate the PSRR across multiple centers and determine associated variables. Methods: Nine participating centers in North America provided at least 2 years of consecutive shunt operations. Index surgery was defined as new shunt implantation, or revision of an existing shunt. For any index surgery that resulted in a reoperation within 90-days, index surgery information (demographic, clinical, and procedural) was collected and a decision made whether the failure was potentially preventable. The 90-day shunt failure rate and PSRR were calculated per institution and combined. Bivariate analyses were performed to evaluate individual effects of each independent variable on preventable shunt failure followed by a final multivariable model using a backward model selection approach. Results: A total of 5092 shunt operations were performed; 861 failed within 90 days of index operation, resulting in a 16.9% combined 90-day shunt failure rate and 17.6% median failure rate (range, 8.7%-26.9%). Of the failures, 307 were potentially preventable (overall and median 90-day PSRR, 35.7% and 33.9%, respectively; range, 16.1%-55.4%). The most common etiologies of avoidable failure were infection (n = 134, 44%) and proximal catheter malposition (n = 83, 27%). Independent predictors of preventable failure (P < .05) were lack of endoscopy (odds ratio [OR] = 2.26), recent shunt infection (OR = 3.65), shunt type (OR = 2.06) and center. Conclusion: PSRR is variable across institutions, but can be 50% or higher. While the PSRR may never reach zero, this study demonstrates that overall about a third of early failures are potentially preventable.
Article
Full-text available
OBJECTIVE The aim of this study was to provide a comprehensive benchmark of 30-day ventriculoperitoneal (VP) shunt failure rates for a single institution over a 5-year study period for both adult and pediatric patients, to compare this with the results in previously published literature, and to establish factors associated with shunt failure. METHODS A retrospective database search was undertaken to identify all VP shunt operations performed in a single, regional neurosurgical unit during a 5-year period. Data were collected regarding patient age, sex, origin of hydrocephalus, and whether the shunt was a primary or secondary shunt. Operative notes were used to ascertain the type of valve inserted, which components of the shunt were adjusted/replaced (in revision cases), level of seniority of the most senior surgeon who participated in the operation, and number of surgeons involved in the operation. Where appropriate and where available, postoperative imaging was assessed for grade of shunt placement, using a recognized grading system. Univariate and multivariate models were used to establish factors associated with early (30-day) shunt failure. RESULTS Six hundred eighty-three VP shunt operations were performed, of which 321 were pediatric and 362 were adult. The median duration of postoperative follow-up for nonfailed shunts (excluding deaths) was 1263 days (range 525–2226 days). The pediatric 30-day shunt failure rates in the authors’ institution were 8.8% for primary shunts and 23.4% for revisions. In adults, the 30-day shunt failure rates are 17.7% for primary shunts and 25.6% for revisions. In pediatric procedures, the number of surgeons involved in the operating theater was significantly associated with shunt failure rate. In adults, the origin of hydrocephalus was a statistically significant variable. Primary shunts lasted longer than revision shunts, irrespective of patient age. CONCLUSIONS A benchmark of 30-day failures is presented and is consistent with current national databases and previously published data by other groups. The number of surgeons involved in shunt operations and the origin of the patient’s hydrocephalus should be described in future studies and should be controlled for in any prospective work. The choice of shunt valve was not a significant predictor of shunt failure. Most previous studies on shunts have concentrated on primary shunts, but the high rate of early shunt failure in revision cases (in both adults and children) is perhaps where future research efforts should be concentrated.
Article
Background: Ventricular shunting is one of the primary modalities for addressing hydrocephalus in both children and adults. Despite advances in shunt technology and surgical practices, shunt failure is a persistent challenge for neurosurgeons, and shunt revisions account for a substantial proportion of all shunt-related procedures. There are a wealth of studies elucidating failure patterns and patient demographics in pediatric cohorts; however, data in adults are less uniform. We sought to determine the rates of all-cause and shunt failure readmission in adults who underwent the insertion of a ventricular shunt. Methods: We queried the Nationwide Readmissions Database from 2010 to 2014 to evaluate new ventricular shunts placed in adults with hydrocephalus. We sought to determine the rates of all-cause and shunt revision-related readmissions and to characterize factors associated with readmissions. We analyzed predictors including patient demographics, hospital characteristics, shunt type, and hydrocephalus cause. Results: Analysis included 24,492 initial admissions for shunt placement in patients with hydrocephalus. Of patients, 9.17% required a shunt revision within the first 6 months; half of all revisions occurred within the first 41 days. There were 4044 (16.50%) 30-day and 5758 (28.8%) 90-day all-cause readmissions. In multivariable analysis, patients with a ventriculopleural shunt, Medicare insurance, and younger age had increased likelihood for shunt revision. Notable predictors for all-cause readmission were insurance type, length of hospitalization, age, comorbidities, and hydrocephalus cause. Conclusions: Most shunt revisions occurred during the first 2 months. Readmissions occurred frequently. We identified patient factors that were associated with all-cause and shunt failure readmissions.
Article
Background: Craniotomies carry inherent risks of postoperative complications that may negatively impact the patients' status. Recognizing and preventing surgical complications is of paramount importance, especially in meningioma surgery where most of these tumors are benign and current management protocols are effective in terms of disease control and maintenance of higher quality of life. The objective of this study is to describe the early complications after surgery and their predictive factors in patients undergoing resection of intra-cranial meningiomas. Methods: A partly retrospective partly prospective review was conducted in a Norwegian population-based cohort of 1469 consecutive cases of meningioma surgery treated at the university hospitals of Oslo, totaling 11 414 patient-years of follow-up. Results: 2.6% of patients had a postoperative hematoma, 2.7% a postoperative infection, 3.9% a postoperative worsening of their neurological status and 5.4% of patients deceased during a 30-days period after the surgery. Predictive factors of increased risk of postoperative complications were patient's age for the hematoma, a non skull base meningioma for infection, and the occurrence of a postoperative hematoma for the risk of neurological worsening or 30-day mortality. Conclusions: Early postoperative complications in meningioma surgery negatively impacts patient survival and postoperative neurological status, in a disease where survival is usually not limited by the meningioma itself. In this study, we identified risk factor for early postoperative complications and the identification of at-risk populations may help to prevent their occurrence.
Article
Objective: The clinical course of high-grade central nervous system gliomas is occasionally complicated by hydrocephalus. The risks of shunt placement and clinical outcome following CSF diversion in this population are not well defined. Methods: The authors retrospectively reviewed the outcomes of patients with pathologically confirmed WHO grade III or IV gliomas with shunt-treated hydrocephalus at their institution. Outcomes of patients in this cohort were compared with those of patients who underwent shunt treatment for normal pressure hydrocephalus (NPH). Hospital-reported outcomes in a national database for malignant primary brain tumor patients undergoing a ventricular shunt procedure were also reviewed. Results: Forty-one patients undergoing CSF shunting between 2001 and 2016 at the authors' institution were identified. Noncommunicating and communicating hydrocephalus occurred at similar rates (51.2% vs 48.8%). Symptomatic improvement after shunting was observed in 75.0% of patients. A major complication occurred in 17.1% of cases, with 2 patients suffering an intracranial hemorrhage. Prior administration of bevacizumab was significantly associated with the incidence of hemorrhage (p = 0.026). Three patients (7.3%) died during admission, and 8 (19.5%) died within 30 days of shunt placement. The presence of ependymal or leptomeningeal enhancement was more common in patients who died within 30 days (75.0% vs 11.1%, p = 0.001). Six patients (18.1%) required readmission to the hospital within 30 days of discharge. Revision surgery was necessary in 7 patients (17.1%). The median time from shunt placement to death was 150.5 days. In comparison with patients with NPH, shunt-treated high-grade glioma patients had increased in-hospital (7.3% vs 0.5%, p = 0.008) and 30-day (19.5% vs 0.8%, p < 0.001) mortality but no difference in the incidence of revision surgery (17.1% vs 17.5%, p = 0.947). Similarly, in the national Vizient Clinical Database Resource Manager, shunt-treated patients with malignant primary brain tumors had an increased length of stay (6.9 vs 3.5 days, p < 0.001), direct cost of admission (15,755.80vs15,755.80 vs 9871.50, p < 0.001), and 30-day readmission rates (20.6% vs 2.4%, p < 0.001) compared with patients without brain tumors who received a shunt for NPH. Conclusions: Shunting can be an effective treatment for the symptoms of hydrocephalus in patients with high-grade gliomas. However, the authors' results suggest that this procedure carries a significant risk of complications in this patient population.
Article
Background: To the authors' knowledge, limited data exist regarding long-term quality of life (QOL) for patients diagnosed with intracranial meningioma. Methods: The data in the current study concerned 1722 meningioma cases diagnosed among residents of Connecticut, Massachusetts, California, Texas, and North Carolina from May 1, 2006 through March 14, 2013, and 1622 controls who were frequency matched to the cases by age, sex, and geography. These individuals were participants in a large, population-based, case-control study. Telephone interviews were used to collect data regarding QOL at the time of initial diagnosis or contact, using the Medical Outcomes Study Short-Form 36 Health Survey. QOL outcomes were compared by case/control status. Results: Patients diagnosed with meningioma reported levels of physical, emotional, and mental health functioning below those reported in a general healthy population. Case participants and controls differed most significantly with regard to the domains of Physical and Social Functioning, Role-Physical, Role-Emotional, and Vitality. Conclusions: In the current study, patients with meningioma experienced statistically significant decreases in QOL compared with healthy controls of a similar demographic breakdown, although these differences were found to vary in clinical significance. Cancer 2017. © 2017 American Cancer Society.