| Literature DB >> 32459841 |
Joseph R Madsen1, Tehnaz P Boyle1,2, Mark I Neuman1, Eun-Hyoung Park1, Mandeep S Tamber3,4, Robert W Hickey3, Gregory G Heuer5, Joseph J Zorc5, Jeffrey R Leonard6, Julie C Leonard6, Robert Keating7, James M Chamberlain7, David M Frim8, Paula Zakrzewski8, Petra Klinge9, Lisa H Merck9,10, Joseph Piatt11, Jonathan E Bennett11, David I Sandberg12, Frederick A Boop13, Mustafa Q Hameed1.
Abstract
BACKGROUND: Thermal flow evaluation (TFE) is a non-invasive method to assess ventriculoperitoneal shunt function. Flow detected by TFE is a negative predictor of the need for revision surgery. Further optimization of testing protocols, evaluation in multiple centers, and integration with clinical and imaging impressions prompted the current study.Entities:
Keywords: Cerebrospinal fluid; Hydrocephalus; Ventriculoperitoneal shunt; Ventriculoperitoneal shunt flow; Ventriculoperitoneal shunt malfunction
Mesh:
Year: 2020 PMID: 32459841 PMCID: PMC7566379 DOI: 10.1093/neuros/nyaa128
Source DB: PubMed Journal: Neurosurgery ISSN: 0148-396X Impact factor: 4.654
FIGURE 1.Flow of recruited patients through study protocol.
Demographic and Clinical Information for Study Population
| TFE+MP group | TFE-only group | |
|---|---|---|
| N = 348 | N = 215 | |
| Sex | ||
| Female | 156 (45%) | 100 (47%) |
| Male | 192 (55%) | 115 (53%) |
|
| ||
| Median (years) | 12 | 11 |
| Distribution: | ||
| 2-6 years | 74 (21%) | 50 (23%) |
| 7-11 years | 96 (28%) | 58 (27%) |
| 12-16 years | 102 (29%) | 65 (30%) |
| 17-21 years | 44 (13%) | 24 (11%) |
| 22-26 years | 24 (7%) | 13 (6%) |
| >26 years | 8 (2%) | 5 (2%) |
| Cause of hydrocephalus | ||
| Spina bifida | 52 (15%) | 37 (17%) |
| Neonatal IVH | 70 (20%) | 40 (19%) |
| Brain tumor | 37 (11%) | 26 (12%) |
| Post-meningitis | 12 (4%) | 8 (4%) |
| Post-TBI | 3 (1%) | 3 (1%) |
| Aqueductal stenosis | 11 (3%) | 6 (3%) |
| Dandy-Walker | 17 (5%) | 11 (5%) |
| Other (congenital) | 101 (29%) | 54 (25%) |
| Other (non-congenital) | 21 (6%) | 10 (5%) |
| Unknown | 24 (7%) | 20 (9%) |
As noted in the text, the TFE+MP and TFE-only groups overlap, for a total of 391 valid tests in 406 enrolled patients.
Diagnostic Accuracy of Thermal Flow Evaluation and Neuro-Imaging in Predicting Surgically Verified Shunt Obstruction: Summary Statistics
| All Patients | Pre-Imaging Clinical Impression: Unlikely | |||||||
|---|---|---|---|---|---|---|---|---|
| TFE+MP group | TFE-only group | TFE+MP group | TFE-only group | |||||
| TFE+MP result | Imaging result | TFE-only result | Imaging result | TFE+MP result | Imaging result | TFE-only result | Imaging result | |
| Prevalence (%) | 20 | 20 | 14 | 14 | 8 | 8 | 7 | 7 |
| Sensitivity (%) (95% CI) | 90 (80-96) | 76 (65-86) | 100 (88-100) | 77 (58-90) | 100 (78-100) | 73 (45-92) | 100 (66-100) | 67 (30-93) |
| Specificity (%) (95% CI) | 50 (44-56) | 90 (86-93) | 60 (53-67) | 92 (87-95) | 49 (42-57) | 93 (87-97) | 59 (50-68) | 94 (88-98) |
| Negative PV (%) (95% CI) | 95 (91-98) | 94 (91-96) | 100* | 96 (93-98) | 100* | 98 (95-99) | 100* | 97 (94-99) |
| Positive PV (%) (95% CI) | 30 (27-33) | 66 (57-74) | 29 (25-33) | 61 (48-72) | 14 (12-16) | 48 (33-63) | 16 (13-19) | 46 (27-67) |
| LR + (95% CI) | 1.8 (1.6-2.1) | 7.8 (5.3-11.4) | 2.5 (2.1-3.0) | 9.5 (5.6-16.0) | 2.0 (1.7-2.3) | 10.9 (5.8-20.3) | 2.5 (2.0-3.0) | 11.3 (4.8-26.6) |
| LR - (95% CI) | 0.2 (0.1-0.4) | 0.3 (0.2-0.4) | 0* | 0.3 (0.1-0.5) | 0* | 0.3 (0.1-0.7) | 0* | 0.4 (0.1-0.9) |
This table summarizes the analysis of the data shown in Figures 2 and 4.
*95% CIs could not be calculated for NPV of 100% or LR- of 0. (TFE+MP, thermal flow evaluation with micropumper; TFE-only, thermal flow evaluation without micropumper; 95% CI, 95% confidence interval; PV, predictive value; LR, likelihood ratio).
Note: Negative and positive predictive values are affected by changes in prevalence and may differ between practices. However, sensitivity and specificity are intrinsic qualities of the test and remain constant.
FIGURE 2.Thermal Flow Evaluation: Prediction of Progression to Surgery for Shunt Obstruction in All Patients. A, TFE+MP predicted obstruction at surgery with a sensitivity and specificity of 90% and 50% respectively. B, TFE-only demonstrated a sensitivity and specificity of 100% and 60% respectively, approximately 10% higher than TFE+MP. C, Imaging in the TFE+MP cohort exhibited a sensitivity of 76% and a specificity of 90%. D, Imaging in patients who received TFE-only tests showed a similar accuracy as in patients who received TFE+MP tests, with a sensitivity of 77% and specificity of 92%. (TFE+MP, thermal flow evaluation with micropumper; TFE-only, thermal flow evaluation without micropumper; FND, flow not detected; FD, flow detected).
FIGURE 4.Thermal Flow Evaluation: Prediction of Progression to Surgery for Shunt Obstruction in Patients Unlikely to Require Shunt Revision on Pre-Imaging Clinical Evaluation. A, In patients deemed “unlikely” to progress to shunt revision surgery on initial pre-imaging clinical evaluation, TFE+MP predicted surgically verified shunt obstruction with 100% sensitivity and 49% specificity. B, TFE-only again demonstrated a high sensitivity of 100% and specificity of 59%. C, Imaging in the TFE+MP group showed a sensitivity of 73% and a specificity of 93%. D, Imaging in patients who received TFE-only tests showed a sensitivity of 67% and specificity of 94%. (TFE+MP, thermal flow evaluation with micropumper; TFE-only, thermal flow evaluation without micropumper; FND, flow not detected; FD, flow detected).
FIGURE 3.Non-inferiority of TFE to imaging. The difference in sensitivities between TFE (either with or without micropumper), and neuro-imaging did not exceed the prospectively determined a priori non-inferiority margin of −2.5% in all patients (TFE+MP: 13.24%, 95%CI: −0.23-26.70%; TFE: 23.33%, 95% CI: 8.20-38.47%), as well as among clinically “unlikely” patients (TFE+MP:26.67%, 95% CI: 4.29-49.05%; TFE: 33.33%, 95% CI: 2.53-64.13%). (TFE+MP, TFE with micropumper; TFE-only, TFE without micropumper).
FIGURE 5.Clinical utility of TFE as a rule-out test. Given the demonstrated utility of TFE as a rule-out test, we can envision the integration of TFE into routine clinical evaluation of suspected shunt malfunction in conjunction with clinical judgment and other diagnostic data, as depicted in one possible decision tree shown here. The proposed algorithm was then applied post hoc to the pooled study sample. A complete dataset (TFE result, neuro-imaging result, and preimaging clinical impression) was available for 345 patients. The dark wedges represent the proportion of patients with confirmed obstruction at surgery, and the area of the circle represents the total number of patients at each respective node. Absolute numbers are given at the bottom of each circle. The numerical data shown in the figure apply only to this study population, but the outline of the decision tree suggests means by which TFE can enhance current clinical options. Terminus I: patients who are clinically classified as low risk for shunt malfunction and have flow detected by TFE may be strongly considered for discharge without imaging. Terminus IV: with greater caution, patients categorized by clinicians as high-risk preimaging but without enlarged ventricles may potentially be discharged without further invasive testing or inpatient observation following detection of flow on TFE and advised to follow-up in clinic. However, this determination would require further study to account for prior patterns of malfunction in such patients. Termini III and VI: conversely, patients who have enlarged ventricles on imaging have a high likelihood of requiring surgical shunt revision. Termini II and VI: these decision paths, in which flow is not detected by TFE in the absence of ventriculomegaly, are less clear, and additional large sampled studies will be required to further resolve these groups. INSET: if the decision pathway shown had been prospectively applied to the study group, imaging might have been avoided in “unlikely” patients with flow confirmed, and invasive testing and admissions for observation might have been avoided in a number of other patients with confirmed shunt flow. Validation with a prospective dataset will be needed to precisely determine the actual savings. These approaches to integrating TFE may be considered as possible improvements in care; however, any guidelines on the use of TFE in the clinical management of acute shunt malfunction would require further studies. As always, providers should employ any and all measures to make the best judgment about the functionality of a shunt.