Evidence map›Paper›PMID 42120701›Full record

ArticleNeurosurgical review2026

Multi-center pressure reactivity index temporal trajectories for predicting outcome in comatose subarachnoid hemorrhage patients.

Jason J Chang, Brandon Foreman, David Kepplinger, Yongwoo Kim, Daniel R Felbaum, Jeffrey C Mai, Rocco A Armonda, Edward F Aulisi

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Neurosurgical review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jason J ChangDepartment of Critical Care Medicine, MedStar Washington Hospital Center, 110 Irving St, NW, Rm 4B42, Washington, DC, 20010, USA. jjwchang@hotmail.com.ORCID http://orcid.org/0000-0002-0825-3008
Brandon ForemanDepartments of Neurology, Rehabilitation Medicine, Neurosurgery, University of Cincinnati Medical Center/ University of Cincinnati Gardner Neuroscience Institute, Cincinnati, OH, USA.
David KepplingerDepartment of Statistics, George Mason University, Fairfax, VA, USA.
Yongwoo KimDepartment of Neurology, Georgetown University Medical Center, Washington, DC, USA.
Daniel R FelbaumDepartment of Neurosurgery, Georgetown University and MedStar Washington Hospital Center, Washington, DC, USA.
Jeffrey C MaiDepartment of Neurosurgery, Georgetown University and MedStar Washington Hospital Center, Washington, DC, USA.
Rocco A ArmondaDepartment of Neurosurgery, Georgetown University and MedStar Washington Hospital Center, Washington, DC, USA.
Edward F AulisiDepartment of Neurosurgery, Georgetown University and MedStar Washington Hospital Center, Washington, DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pressure reactivity index (PRx) is a surrogate for cerebral autoregulation and has been used for prognostication in aneurysmal subarachnoid hemorrhage (SAH). We examined patient-specific temporal courses of PRx and identified time thresholds that optimized the accuracy of PRx monitoring. Comatose patients with SAH from two Comprehensive Stroke Centers were identified and received continuous ICP and PRx recordings. Outcomes were dichotomized into "poor" versus "good" based on disposition and modified Rankin score. Smoothed PRx trajectories were created to generate "candidate features", looking at daily average PRx and cumulative first-order and second-order changes in PRx. "Candidate features" were used to perform penalized logistic regression analysis. Penalized logistic regression models that maximized specificity for poor outcome were iteratively generated and evaluated sensitivity changes over time. We evaluated 33 comatose SAH patients in this cohort. Average PRx trajectories for good and poor outcome groups diverged at post-ictus day 6. When targeting specificities ≥ 78.6% for poor outcome, sensitivities for predicting poor outcome maximized to 70% (± 7%) at post-ictus day 8 and remained between 55% and 65% for the remainder of the monitoring period up to day 23. Area under curve-receiver operating characteristic (AUC-ROC) curves consistently demonstrated AUC-ROC > 0.71 after post-ictus day 8 (maximum AUC-ROC 0.78 at day 8). We found that when using PRx time-thresholds for predicting poor outcome in comatose SAH patients, prognostication with PRx was maximized at post-ictus day 8. Longer PRx monitoring did not improve predictive power. Further study is required to validate these findings.

Indexed as

ComaIntracranial PressureSubarachnoid HemorrhageAdultAgedFemaleHomeostasisHumansMaleMiddle AgedPredictive Value of TestsPrognosisTreatment OutcomeAneurysmal subarachnoid hemorrhageCerebral autoregulationPressure reactivity indexPrognosisPRx

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.