Evidence map›Paper›PMID 40405011›Full record

ArticleNeurocritical care2025

Necessary Intensity of Monitoring After Elective Craniotomies: A Prediction Score for Postoperative Complications to Stratify Postoperative Monitoring.

Elena Kurz, Darius Kalasauskas, Dominik Wesp, Harald Krenzlin, Alicia Schulze, Melek Bulut, Thomas Kerz, Florian Ringel, Naureen Keric

Abstract read
In one paragraph

Article in Neurocritical care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Elena KurzDepartment of Neurosurgery, University Hospital Mainz, Langenbeckstr. 1, 55131, Mainz, Germany.
Darius KalasauskasDepartment of Neurosurgery, University Hospital Mainz, Langenbeckstr. 1, 55131, Mainz, Germany.
Dominik WespDepartment of Neurosurgery, University Hospital Mainz, Langenbeckstr. 1, 55131, Mainz, Germany.
Harald KrenzlinDepartment of Neurosurgery, University Hospital Mainz, Langenbeckstr. 1, 55131, Mainz, Germany.
Alicia SchulzeInstitute of Medical Biometrics, Epidemiology, and Informatics, University Hospital Mainz, Mainz, Germany.
Melek BulutDepartment of Neurosurgery, University Hospital Mainz, Langenbeckstr. 1, 55131, Mainz, Germany.
Thomas KerzDepartment of Neurosurgery, University Hospital Mainz, Langenbeckstr. 1, 55131, Mainz, Germany.
Florian Ringel *Department of Neurosurgery, University Hospital Mainz, Langenbeckstr. 1, 55131, Mainz, Germany. florianringel@icloud.com.
Naureen Keric *Department of Neurosurgery, University Hospital Mainz, Langenbeckstr. 1, 55131, Mainz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPostoperative complications requiring monitoring following elective craniotomies occur in ~ 2% of cases. Therefore, in most neurosurgical departments, an elective craniotomy is routinely followed by postoperative monitoring in an intensive or intermediate care unit. However, there is no systematic allocation to this procedure. Consequently, patients at risk are not monitored as a priority. The aim of this study was to develop a prediction score for the occurrence of postoperative complications after elective craniotomies and to redefine the monitoring algorithm.

methodsIn this retrospective single-center analysis, all patients with elective craniotomy between 2018 and 2021 were included. Demographic data, diagnosis, location of the pathology (infratentorial/supratentorial), American Society of Anesthesiologists (ASA) score, Charlson comorbidity index (CCI), duration of surgery, blood loss, postoperative complications, and type and duration of monitoring were analyzed. The score was developed and validated internally to ensure its predictive reliability.

resultsA total of 860 consecutive patients (376 male patients and 484 female patients) with a mean age of 60.6 years (range 19-93 years) were included. Forty-three patients experienced a postoperative adverse event that required monitoring. Independent predictors for postoperative complications were age (odds ratio [OR] 0.001, 95% confidence interval [CI] 1.0-1.04), CCI (OR 1.19, 95% CI 1.04-1.36), operative duration (OR 45.90, 95% CI 10.01-229.30), vestibular schwannoma as the treated pathology (OR 1.58, 95% CI 0.09-0.77), blood loss (OR 1.001, 95% CI 1.00-1.001), and ASA score (OR 1.1, 95% CI 1.01-1.2). The score was based on the most reliable characteristics and the calculated predictor error. The formula for score calculation is as follows: 1.3 age + 10 CCI + 65 1

conclusionsThis score provides a practical approach for individual risk assessment of patients undergoing elective craniotomy. Postoperative monitoring capacity can be optimally distributed, and fast-track pathways can be developed for low-risk patients to use this valuable resource effectively.

Indexed as

CraniotomyElective Surgical ProceduresPostoperative ComplicationsAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentYoung AdultElective craniotomyMonitoring capacityPostoperative complicationsPostoperative monitoringPrediction

Identifiers

PMID40405011
PMCPMC12436460

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