Abstract
Background and purpose
To examine the effect of delayed compared to early planning of shunt surgery on survival, in patients with idiopathic normal pressure hydrocephalus (iNPH), a long‐term follow‐up case–control study of patients exposed to a severe delay of treatment was performed.
Methods
In 2010–2011 our university hospital was affected by an administrative and economic failure that led to postponement of several elective neurosurgical procedures. This resulted in an unintentional delay of planning of treatment for a group of iNPH patients, referred to as iNPHDelayed (n = 33, waiting time for shunt surgery 6–24 months). These were compared to patients treated within 3 months, iNPHEarly (n = 69). Primary outcome was mortality. Dates and underlying causes of death were provided by the Cause of Death Registry. Survival was analysed by Kaplan–Meier plots and a Cox proportional hazard model adjusted for potential confounders.
Results
Median follow‐up time was 6.0 years. Crude 4‐year mortality was 39.4% in iNPHDelayed compared to 10.1% in iNPHEarly (p = 0.001). The adjusted hazard ratio in iNPHDelayed was 2.57; 95% confidence interval 1.13–5.83, p = 0.024. Causes of death were equally distributed between the groups except for death due to malignancy which was not seen in iNPHDelayed but in 4/16 cases in iNPHEarly (p = 0.044).
Conclusions
The present data indicate that shunt surgery is effective in iNPH and that early treatment increases survival.
Keywords: ataxia and gait disorders, case–control study, cognitive disorders and dementia, normal pressure hydrocephalus
Patients with idiopathic normal pressure hydrocephalus exposed to 6–24 months delayed planning of shunt surgery had a more than twofold increased mortality compared to patients operated without delay.

INTRODUCTION
Idiopathic normal pressure hydrocephalus (iNPH) is a treatable yet underdiagnosed disorder. The prevalence has been estimated at 2% of persons aged 70 years or older [1]. Despite a continuous rise in the incidence of shunt surgery for iNPH in Sweden [2] the majority of persons suffering from iNPH do not receive treatment.
Based on uncontrolled observational studies, shunt surgery improves symptoms in around 80% of patients [3]. Two randomized controlled trials have shown that shunt surgery is effective [4, 5 but data from controlled studies are considered scarce [6]. Furthermore, the effect of treatment on survival has not been reported previously.
This observational study is based on circumstances in which a random group of iNPH patients were unintentionally exposed to a severe treatment delay. The Sahlgrenska University Hospital, Gothenburg, Sweden, was affected by administrative and economic failure in 2010–2011, leading to postponement of elective neurosurgical procedures, and several iNPH patients were left on the waiting list for up to 2 years. In 2011 additional financial support enabled elimination of the queues, and all patients who had been waiting for more than 6 months (n = 33; iNPHDelayed) were included in a study published in 2013 [7]. They were followed up and compared to all patients in the local hydrocephalus registry who had been operated within 3 months in 2004–2012 (n = 69; iNPHEarly). The present study is a long‐term follow‐up of these patients, with the specific aim of studying the effect of delayed compared to early planning of shunt surgery on survival.
METHODS
The study sample of in total 102 iNPH patients scheduled for shunt surgery in 2004–2012 and their 3‐month postoperative outcome has been described in detail previously [7]. An overview is presented in Figure 1.
FIGURE 1.

Overview of the study sample and treatment groups
Diagnosis of iNPH
All patients were evaluated at the same clinic by the same routine clinical work‐up including brain imaging with magnetic resonance imaging and/or computed tomography and examination by a physician, a neuropsychologist and a physiotherapist. Severity of symptoms was assessed using a validated iNPH scale where tests for gait, balance, cognitive abilities and urinary symptoms yield a composite score of 0–100 [8]. Additionally, the modified Rankin Scale (mRS) and the Mini‐Mental State Examination (MMSE) were recorded. Ancillary tests, such as the cerebrospinal fluid (CSF) tap test or infusion tests, were performed when considered clinically indicated. The diagnosis of iNPH was made in accordance with the international guidelines [9]. The decision to refer for shunt surgery was made in routine multidisciplinary conferences; the date of this decision is the baseline date in this study.
Baseline characteristics for both groups, and data from the second preoperative investigations performed only in the iNPHDelayed group, are shown in Table 1. Patients in iNPHDelayed were older, and hypertension was more common in this group. There were no significant differences between the groups regarding any other baseline characteristics.
TABLE 1.
Baseline data, median follow‐up times and complication rates
|
iNPHDelayed (n = 33) |
iNPHEarly (n = 69) |
p a | ||
|---|---|---|---|---|
| Baseline preoperative investigation (Preop 1) | Second preoperative investigation (Preop 2) | Baseline preoperative investigation (Preop 1) | ||
| Age, years, median (min–max) | 76 (55–89) | 78 (56–90) | 70 (48–84) | 0.006 |
| Women, n (%) | 16 (48) | 32 (46) | 1.0 | |
| MMSE, median (min–max) | 25 (14–30) | 22 (9–30) | 25 (9–30) | 0.42 |
| Modified Rankin Scale, median (min–max) | 2 (1–4) | 3 (1–5) | 2 (1–4) | 0.50 |
| Total iNPH scale score, median (min–max) | 45 (7–94) | 37 (5–95) | 49 (2–95) | 0.16 |
| Duration of symptoms, months, median (min–max) | 24 (8–132) | 24 (6–360) | 0.70 | |
| Hypertension, n (%) | 20 (61) | 24 (35) | 0.019 | |
| Diabetes, n (%) | 4 (12) | 10 (14) | 1.0 | |
| Cardiovascular disease, n (%) | 10 (30) | 12 (17) | 0.20 | |
| Waiting time before surgery, months, median (min–max) | 13.2 (6.8–23.8) | 0.2 (0.1–2.7) | <0.001 | |
| Follow‐up time, years, median (IQR) | 5.4 (2.7–5.7) | 7.4 (4.7–8.6) | <0.001 | |
| Patients with major complications, n (%) | 7 (20.6) | 20 (29.0) | 0.48 | |
| Patients with minor complications, n (%) | 3 (8.8) | 10 (14.5) | 0.54 | |
Abbreviations: iNPH, idiopathic normal pressure hydrocephalus; IQR, interquartile range; MMSE, Mini‐Mental State Examination.
For baseline data, p values represent comparisons between Preop 1 in both groups.
Clinical course
All but one patient underwent shunt surgery; one patient in iNPHDelayed died before surgery was performed, after 14 months’ wait. The number and types of postoperative complications were recorded. Complications were classified as minor or major. Minor complications were defined as complications that did not cause significant disability and did not require additional surgeries: postural headaches, smaller subdural effusions or hygromas which resolved after adjustment of the shunt valve. Major complications were defined as complications that required additional surgery or caused significant disability: larger subdural haematomas, obstruction or infection of the shunt catheter, stroke, intracerebral haemorrhage or postoperative epilepsy.
Assessment of outcome
The primary outcome was mortality. Dates and causes of death until 17 June 2016 were commissioned from the Swedish Cause of Death Registry (CDR). The CDR is governed by the National Board of Health and Welfare, who apply an internationally used algorithm [10] to define which is the underlying cause of death—that cause is reported in this study.
The underlying causes of death, classified as ICD‐10 diagnostic codes, that were represented in the study were grouped as pneumonia J18.9; malignant disease C259, C494, C679, C80; dementia F019, F03, F039; neurological disease B91, G20, G239; hydrocephalus G919; cardiovascular disease I10, I110, I219, I251, I259, I509, I713; cerebrovascular disease I619, I64; and fall accident W18.
Statistical analysis
Proportions were compared by Fisher's exact test and the Mann–Whitney U test was used for comparison of categorical or continuous variables.
Survival analyses were performed with Kaplan–Meier plots, the log‐rank test and Cox regression analysis. The proportional hazards assumption was assessed by goodness‐of‐fit tests and visual analysis of plots of scaled Schoenfeld residuals against time.
Before entry into Cox regression analysis the mRS was dichotomized at the median whilst MMSE and the iNPH scale score were used as continuous variables.
All variables with a significance level p < 0.05 in univariable analyses were included in a multivariable analysis with a forward stepwise approach. In this analysis, age, group (early or delayed surgery), iNPH scale score and MMSE were included, but the latter two were rejected as they did not reach significance in the stepwise forward model.
Age‐stratified Cox regression analyses were also performed. Additionally, after stratification of patients into age up to or above 75 years and into baseline mRS 1–2 or mRS 3–4, univariate Cox regression analyses were performed, and Kaplan–Meier curves were plotted, to analyse the effect of delayed surgery in these subgroups.
Patients in iNPHDelayed were older than those in iNPHEarly. Therefore, the Kaplan–Meier curves were replotted after controlling for the possible effect of age differences in the following way: in iNPHEarly the six patients younger than 55 years were excluded, and in iNPHDelayed the four patients aged above 84 years were excluded. This resulted in age ranging from 55–84 years in both groups and a median age of 71 years in iNPHEarly and of 72 in iNPHDelayed, p = 0.18.
Statistical analyses were performed using SPSS version 24 for Windows and Stata version 14.0 IC.
RESULTS
Median follow‐up time for the total sample was 6.0 years, interquartile range 4.3–7.8, shorter for iNPHDelayed and longer for iNPHEarly (Table 1).
At the end of follow‐up, 23% (n = 16) of the patients in iNPHEarly had died, compared to 52% (n = 17) of those in iNPHDelayed (p = 0.006). The crude 4‐year mortality was 39.4% in iNPHDelayed, compared to 10.1% in iNPHEarly (p = 0.001). Additionally, the crude and age‐adjusted Kaplan–Meier survival curves both showed significantly higher mortality in iNPHDelayed (Figure 2).
FIGURE 2.

Survival in iNPH patients with delayed or early treatment. In (a) all patients are included. In (b) the groups have been adjusted for age by exclusion of the youngest patients in iNPHEarly and the oldest patients in iNPHDelayed. After this adjustment, the age range in both groups was 55–84, median age 71 in iNPHEarly and 72 in iNPHDelayed, p = 0.18
Specifically, the higher risk of dying when exposed to delayed planning of surgery was seen for older patients, aged above 75 years, but could not be seen for patients aged up to 75 years (Table 2). Patients were also subgrouped based on their degree of disability, and patients with mRS 1–2 and with mRS 3–4 both had a higher risk of dying if exposed to delayed planning of surgery (Table 2). The corresponding Kaplan–Meier curves and log‐rank tests for these subgroup analyses are shown in Figure S1.
TABLE 2.
Cox regression analysis of the time to death for patients with delayed compared to early surgery, stratified by level of disability (mRS 1–2 vs. 3–4) and by age at time of diagnosis (48–75 vs. 76–89 years)
| Death | Non‐death | Total | HR | 95% CI | p | ||
|---|---|---|---|---|---|---|---|
| mRS a 1–2, n = 59 | iNPHDelayed | 7 | 11 | 18 | 3.01 | 1.14–7.94 | 0.026 |
| iNPHEarly | 9 | 32 | 41 | ||||
| Total for mRS 1–2 | 16 | 43 | 59 | ||||
| mRS a 3–4, n = 43 | iNPHDelayed | 10 | 5 | 15 | 6.56 | 1.69–25.41 | 0.007 |
| iNPHEarly | 7 | 21 | 28 | ||||
| Total for mRS 3–4 | 17 | 26 | 43 | ||||
| Age 48–75, n = 65 | iNPHDelayed | 3 | 13 | 16 | 1.84 | 0.44–7.69 | 0.41 |
| iNPHEarly | 7 | 42 | 49 | ||||
| Total for age 48–75 | 10 | 55 | 65 | ||||
| Age 76–89, n = 37 | iNPHDelayed | 14 | 3 | 17 | 4.66 | 1.66–13.03 | 0.003 |
| iNPHEarly | 9 | 11 | 20 | ||||
| Total for age 76–89 | 23 | 14 | 37 |
The scores 0 or 5 were not represented in the patients at Preop 1.
Abbreviations: CI, confidence interval; HR, hazard ratio; iNPH, idiopathic normal pressure hydrocephalus; mRS, modified Rankin Scale.
mRS, modified Rankin Scale at the first preoperative investigation, Preop 1.
The iNPH scale score and the MMSE score were independent significant predictors for mortality, with a 15% lower mortality per 5 points higher score on the iNPH scale and a 46% lower mortality per 5 points better MMSE in univariate Cox regression analysis. However, no other factors than age and whether patients belonged to iNPHDelayed or iNPHEarly were significant predictors of mortality in the multivariable model (Table 3). The hazard ratio (HR) for death in iNPHDelayed was 2.57 (95% confidence interval 1.13–5.83, p = 0.024). On performing age‐stratified Cox regression analysis, a similar result was seen: only delayed vs. early surgery was of significance for survival, with HR 2.85 (95% confidence interval 1.04–7.84, p = 0.042) (Table 3).
TABLE 3.
Cox regression analyses of baseline variables’ influence on survival
| Univariable analysis | Multivariable analysis (stepwise forward) | Age‐stratified analysis | |||||||
|---|---|---|---|---|---|---|---|---|---|
| HR | 95% CI | p | HR | 95% CI | p | HR | 95% CI | p | |
| Group, delayed vs. early | 4.24 | 1.94–9.27 | <0.001 | 2.57 | 1.13–5.83 | 0.024 | 2.85 | 1.04–7.84 | 0.042 |
| Age | 1.15 | 1.09–1.21 | <0.001 | 1.13 | 1.07–1.18 | <0.001 | – | – | – |
| Sex, male | 1.50 | 0.74–3.00 | 0.26 | 1.50 | 0.55–4–09 | 0.43 | |||
| Symptom grading | |||||||||
| MMSE score/5 | 0.54 | 0.39–0.76 | <0.001 | ns | 0.67 | 0.41–1.09 | 0.11 | ||
| mRS (3–4 vs. 1–2) | 2.02 | 0.99–4.12 | 0.055 | 1.31 | 0.50–3.48 | 0.59 | |||
| iNPH scale score/5 | 0.85 | 0.78–0.93 | <0.001 | ns | 0.89 | 0.76–1.03 | 0.12 | ||
| Duration of symptoms, months | 1.00 | 1.00–1.01 | 0.63 | 0.99 | 0.98–1.01 | 0.48 | |||
| Comorbidities | |||||||||
| Hypertension | 1.24 | 0.62–2.46 | 0.55 | 1.06 | 0.39–2.92 | 0.91 | |||
| Cardiovascular disease | 1.91 | 0.90–4.08 | 0.092 | 1.79 | 0.53–5.97 | 0.35 | |||
| Diabetes | 0.63 | 0.19–2.07 | 0.50 | 1.21 | 0.25–5.86 | 0.82 | |||
Abbreviations: CI, confidence interval; HR, hazard ratio; iNPH, idiopathic normal pressure hydrocephalus; MMSE, Mini‐Mental State Examination; mRS, modified Rankin Scale.
If the multivariable model was widened to include all variables reaching significance level p < 0.1 in univariable analyses, also mRS and cardiovascular disease were included, but none of these reached significance in the multivariable model and the final result was not changed.
The complication rates did not differ significantly between the two groups (Table 1).
Death caused by malignant disease was seen in four of the 16 deceased patients in iNPHEarly but in no case in iNPHDelayed, p = 0.044. For other causes there were no significant differences (Table 4). The underlying cause of death in the CDR for the patient who died before shunt surgery was performed was hydrocephalus.
TABLE 4.
Causes of death
| Cause of death | iNPHDelayed, n (%) | iNPHEarly, n (%) | p |
|---|---|---|---|
| Pneumonia | 1 (5.9) | 1 (6.3) | 1 |
| Malignant disease | 0 | 4 (25) | 0.044 |
| Dementia | 4 (24) | 4 (25) | 1 |
| Neurological disease | 3 (18) | 0 | 0.23 |
| Hydrocephalus | 1 (5.9) | 0 | 1 |
| Cardiovascular disease | 4 (24) | 6 (38) | 0.47 |
| Cerebrovascular disease | 3 (18) | 1 (6.3) | 0.60 |
| Fall accident | 1 (5.9) | 0 | 1 |
| Total | 17 | 16 |
Abbreviation: iNPH, idiopathic normal pressure hydrocephalus.
DISCUSSION
The effect of delayed planning of shunt surgery on survival has not been reported previously. Mortality in iNPH patients unintentionally exposed to delayed planning of treatment was examined compared to those treated within a normal time frame. It was found that patients with delayed treatment had a more than twofold increased risk of death, despite having eventually undergone shunt surgery (all but one) and despite benefitting equally from surgery 3 months postoperatively to the group treated without delay [7]. The present data suggest that shunt surgery is effective; specifically, that early treatment increases survival compared to delayed treatment. These findings are important for the clinical management of iNPH patients.
The finding that patients who were exposed to delayed treatment had an excess mortality remained after controlling for the independently significant factors, including age and severity of symptoms. There was a slightly higher frequency of complications in iNPHEarly, probably explained by their longer follow‐up time, but the frequency did not differ significantly between the groups, hence not explaining the difference in mortality.
Subgrouping the 102 patients, a difference in survival was seen for patients with early or delayed surgery regardless of functional disability as measured by mRS. Further, this difference could be seen in older patients above 75 years of age. Any difference in survival related to delayed surgery for patients with a longer life expectancy, aged up to 75 years, could not be detected in this sample. Based on these results, it is of extra importance to avoid unnecessary waiting for older iNPH patients.
According to several uncontrolled observational studies, shunt surgery may improve symptoms and decrease disability in most patients [3]. Randomized controlled trials by Kazui et al. [5] and Tisell et al. [4] have also shown clinical effects. However, practice guidelines issued by the American Academy of Neurology in 2015 [6] concluded that shunt surgery might be beneficial for patients with iNPH but that high‐level evidence is lacking. It would be difficult to examine the effect of shunting on survival using a randomized controlled trial considering the ethical implications and need for extended follow‐up. In contrast, whilst our results are based on unwanted events, the observational nature of this study allowed us to examine outcomes after more than half a decade. Therefore, these results might add important data to existing evidence, supporting the notion that shunting has substantial effects in iNPH.
There are several possible explanations of why patients with early shunt surgery have lower mortality. First, during delay, iNPH patients will suffer from a continuous overall deterioration with increased disability, leading to, for example, a risk of falls, loss of self‐mobilizing capacity, infections and malnutrition. Secondly, iNPH is related to vascular risk factors and cerebral white matter lesions [11] which have been found to decrease after CSF diversion, with reductions correlating with clinical improvement [12]. Furthermore, and congruently, CSF diversion seems to be related to increased cerebral perfusion [13, 14. Thus, it is plausible that early treatment with shunt surgery leads to an improved cerebral microcirculation, especially in the periventricular area, which is probably of importance for the function of the brain and could lead to a lower risk of death [15]
Data concerning causes of death are far from exact, since such causes are established by physicians in different situations. The only difference that could be found between the two groups was that there were more deaths due to malignancies in iNPHEarly, four out of 16 deaths, whereas there were none in iNPHDelayed. A possible explanation for this finding is that patients who had shunt surgery in a timely fashion lived longer and therefore had the time to develop and be diagnosed with malignancies.
There are important limitations to this study that should be discussed. The main limitation is the observational design. Although it may be supposed that patients were affected by the treatment delay at random, the possibility that patients in the delayed treatment group had some underlying propensity that ultimately affected outcome cannot be fully ruled out. Despite having adjusted for several potential confounders there is still a risk of residual confounding or unknown sources of bias affecting the results.
Another major limitation is the difference in age between the two groups (median 70 vs. 76 years). Compiling data for iNPHDelayed, and retrospectively selecting other patients with early performed surgery within 3 months from the local database, for the case–control design of the original study, it was surprising to find that head‐to‐head matching was not possible due to overweight of more elderly patients in iNPHDelayed. To deal with this as correctly as possible, all patients operated between 2004 and 2012 without delay, that is, within 3 months, were included rendering patient groups similar with regard to other important aspects such as baseline symptom severity and duration of symptoms.
In the present study, the effect of iNPHDelayed patients being older was adjusted for by adding age into the multivariable Cox regression analysis and this was complemented by age‐stratified Cox regression analyses. Additionally, the Kaplan–Meier plot was adjusted for age by excluding the oldest patients from iNPHDelayed and the youngest from iNPHEarly.
During the years, patients’ degree of priority in the queue could be adjusted according to decisions of individual surgeons, based on information from patients or their relatives. Mainly such information would indicate deterioration leading to frequent falls. However, it is important to emphasize that patients in iNPHDelayed were never intentionally deprioritized, nor did they themselves choose to postpone treatment. The intention of all involved personnel was to provide the best possible care during these highly unfortunate circumstances.
The relatively small sample size is also a limitation. iNPHDelayed included only 33 patients, and a larger sample could probably have provided more precise outcome estimates. However, the total sample size of this study was 102, making it larger than many studies in iNPH.
A Swedish registry study showed that the HR for iNPH patients compared to the general population was 1.8 [16]. Patients in iNPHEarly had surgery within an exceptionally short time frame (median 6 days from decision). Therefore, these patients probably had better survival than iNPH patients in general, closer to the survival of the general population, whilst iNPHDelayed probably had poorer survival than iNPH patients in general, due to the waiting time. However, as a significant treatment effect was seen on a group level also in iNPHDelayed [7] presumably the mortality of that group is lower than in untreated persons with iNPH [17].
Our study implies that at the point where symptoms are serious enough to justify an investigation for iNPH and, subsequently, a decision of shunt surgery, the patients are at large risk of earlier death if that surgery is postponed. This difference was specifically seen in older patients above 75 years of age, implying that especially for these patients unnecessary wait should be avoided. In the assessment of iNPH patients, the risks of shunt surgery must be taken into consideration—but this study adds evidence that so should the risks of postponing surgery.
CONCLUSION
During a follow‐up of more than 5 years, it was found that patients exposed to delayed planning of shunt surgery had an increased risk of death, by an HR of 2.57. These results support that shunt surgery is effective and that early treatment increases survival.
CONFLICT OF INTEREST
Dr Wikkelsø has received an honorarium for lecturing by Codman, Integra. Drs Andrén, Hellström, Tullberg and Jaraj report no disclosures.
AUTHOR CONTRIBUTIONS
Kerstin Andrén participated in the design and conceptualization of the study, collected the data, performed the statistical analyses, interpreted the results and drafted the manuscript. Carsten Wikkelsø, Per Hellström and Mats Tullberg participated in the design of the study, interpretation of data, and revision of the manuscript. Daniel Jaraj conceived the study, participated in the design, collected the data, performed the statistical analyses, interpreted the results and drafted the manuscript.
ETHICAL STATEMENT
The study was approved by the Regional Ethical Review Board in Gothenburg (Dnr 009–13).
Supporting information
Figure S1
Funding information
This study was supported by grants from the Swedish State under the ALF agreement ALFGBG‐720121, ALFGBG‐592841, and ALFGBG‐897891.
DATA AVAILABILITY STATEMENT
The data that support the findings of this study are available from the corresponding author upon reasonable request.
REFERENCES
- 1. Jaraj D, Rabiei K, Marlow T, Jensen C, Skoog I, Wikkelso C. Prevalence of idiopathic normal‐pressure hydrocephalus. Neurology. 2014;82:1449‐1454. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Sundstrom N, Malm J, Laurell K, et al. Incidence and outcome of surgery for adult hydrocephalus patients in Sweden. Br J Neurosurg. 2017;31:21‐27. [DOI] [PubMed] [Google Scholar]
- 3. Toma AK, Papadopoulos MC, Stapleton S, Kitchen ND, Watkins LD. Systematic review of the outcome of shunt surgery in idiopathic normal‐pressure hydrocephalus. Acta Neurochir (Wien). 2013;155:1977‐1980. [DOI] [PubMed] [Google Scholar]
- 4. Tisell M, Tullberg M, Hellstrom P, Edsbagge M, Hogfeldt M, Wikkelso C. Shunt surgery in patients with hydrocephalus and white matter changes. J Neurosurg. 2011;114(5):1432‐1438. [DOI] [PubMed] [Google Scholar]
- 5. Kazui H, Miyajima M, Mori E, Ishikawa M. Lumboperitoneal shunt surgery for idiopathic normal pressure hydrocephalus (SINPHONI‐2): an open‐label randomised trial. Lancet Neurol. 2015;14:585‐594. [DOI] [PubMed] [Google Scholar]
- 6. Halperin JJ, Kurlan R, Schwalb JM, Cusimano MD, Gronseth G, Gloss D. Practice guideline: idiopathic normal pressure hydrocephalus: response to shunting and predictors of response: Report of the Guideline Development, Dissemination, and Implementation Subcommittee of the American Academy of Neurology. Neurology. 2015;85:2063‐2071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Andren K, Wikkelso C, Tisell M, Hellstrom P. Natural course of idiopathic normal pressure hydrocephalus. J Neurol Neurosurg Psychiatry. 2013;85:806‐810. [DOI] [PubMed] [Google Scholar]
- 8. Hellstrom P, Klinge P, Tans J, Wikkelso C. A new scale for assessment of severity and outcome in iNPH. Acta Neurol Scand. 2012;126(4):229‐237. [DOI] [PubMed] [Google Scholar]
- 9. Relkin N, Marmarou A, Klinge P, Bergsneider M, Black PM. Diagnosing idiopathic normal‐pressure hydrocephalus. Neurosurgery. 2005;57(suppl_3):S2‐4‐S2‐16. [DOI] [PubMed] [Google Scholar]
- 10. ACME . ACME decision tables for classifying underlying causes of death. http://www.cdc.gov/nchs/data/dvs/2c_2016.pdf [online].
- 11. Jaraj D, Agerskov S, Rabiei K, et al. Vascular factors in suspected normal pressure hydrocephalus. Neurology. 2016;86:592‐599. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Tullberg M, Jensen C, Ekholm S, Wikkelso C. Normal pressure hydrocephalus: vascular white matter changes on MR images must not exclude patients from shunt surgery. Am J Neuroradiol. 2001;22:1665‐1673. [PMC free article] [PubMed] [Google Scholar]
- 13. Hertel F, Walter C, Schmitt M, et al. Is a combination of Tc‐SPECT or perfusion weighted magnetic resonance imaging with spinal tap test helpful in the diagnosis of normal pressure hydrocephalus? J Neurol Neurosurg Psychiatry. 2003;74:479‐484. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Ziegelitz D, Arvidsson J, Hellstrom P, Tullberg M, Wikkelso C, Starck G. In patients with idiopathic normal pressure hydrocephalus postoperative cerebral perfusion changes measured by dynamic susceptibility contrast magnetic resonance imaging correlate with clinical improvement. J Comput Assist Tomogr. 2015;39:531‐540. [DOI] [PubMed] [Google Scholar]
- 15. Hasan TF, Barrett KM, Brott TG, et al. Severity of white matter hyperintensities and effects on all‐cause mortality in the Mayo Clinic Florida Familial Cerebrovascular Diseases Registry. Mayo Clin Proc. 2019;94:408‐416. [DOI] [PubMed] [Google Scholar]
- 16. Andren K, Wikkelso C, Sundstrom N, et al. Survival in treated idiopathic normal pressure hydrocephalus. J Neurol. 2020;267:640‐648. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Jaraj D, Wikkelso C, Rabiei K, et al. Mortality and risk of dementia in normal‐pressure hydrocephalus: a population study. Alzheimers Dement. 2017;13:850‐857. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Figure S1
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
