Trend of Death in Pediatric Ventriculoperitoneal Shunts in the USA
Bibliographic record
Abstract
Background: Ventriculoperitoneal shunts (VPS) have been used to treat hydrocephalus for many years. This procedure has saved many lives, but it does not come without its complications. Considering the invasiveness of the procedure, we sought to investigate the mortality rate of VPS in children in the USA. Methods: This retrospective cohort study used the Nationwide Inpatient Sample database to examine patients from the ages of 0 - 17 years who underwent the procedures involving the insertion, replacement, or removal of VPS from 1997 to 2012. Z-test was used to analyze the statistical significance. Results: During the study period, we recorded a total number of 165,484 cases of VPS with 54.5% occurring in males. The mean age was 5.25 years old, and the average mortality rate was 1.03%. The annual number of patients receiving VPS at all institutions during the study period decreased significantly from 13,075 in 1997 to 8,499 in 2012 (P = 0.001). The rate of patients receiving VPS per 100,000 discharges at all institutions during the study period also decreased significantly from 18.4 in 1997 to 11.5 in 2012 (P = 0.0001). The number of in-hospital deaths significantly decreased from 150 in 1997 to 50 in 2012 (P = 0.001), and the main decrease in the mortality happened after 2009 (P = 0.001). Conclusions: Utilization of pediatric VPS decreased in the USA between 1997 and 2012, and the number of in-hospital deaths significantly decreased as well. This may be related to better healthcare services in recent years, especially with more emphasis on the inpatient quality indicators (IQIs). Future research should determine the cause of the significant decrease and use the information to continue bringing the mortality rate down. J Neurol Res. 2020;10(3):69-72 doi: https://doi.org/10.14740/jnr573
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".