Open Access
CC BY 4.0 · Indian Journal of Neurotrauma
DOI: 10.1055/s-0045-1811661
Letter to the Editor

Practical Clinical Rules for Predicting Complications after Decompressive Craniectomy

1   Department of Research, AV Healthcare Innovators, LLC, Madison, Wisconsin, United States
,
2   Department of Research, Aneuclose, LLC, Eagan, Minnesota, United States
,
Claudia Restrepo-Lugo
3   Department of Neurosurgery, University of Montreal, Montreal, Canada
,
1   Department of Research, AV Healthcare Innovators, LLC, Madison, Wisconsin, United States
,
Mariana Beltran-Lopez
4   Department of Medicine, Universidad del Tolima, Tolima, Colombia
,
Yashwant Sandeep
5   Department of Neurosurgery, AMARA Hospital, Tirupati, Andhra Pradesh, India
,
Amit Agrawal
6   Department of Neurosurgery, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
› Author Affiliations
 

Decompressive craniectomy (DC) is a well-established intervention for refractory intracranial hypertension caused by traumatic brain injury, malignant stroke, and other acute intracranial processes.[1] [2] [3] While it can significantly reduce mortality, DC is associated with a high rate of postoperative complications, including infection, hemorrhage, hydrocephalus, seizures, and syndrome of the trephined.[4] [5] [6] Current literature brings a list of potential risk factors, but no concise, we strongly believe that a user-friendly clinical rules to help frontline neurosurgeons quickly identify high-risk patients. Moreover, the ability to anticipate complications could improve operative planning, guide postoperative monitoring, and inform discussions with patient families. In this article, we propose seven simple rules that are derived from literature review and clinical reasoning that may help predict complications after DC ([Table 1]). The proposed rules aim to help the provider to guide on complex risk factor data into a manageable set of clinical heuristics. They are not intended as a formal scoring system, and is just a proposal, but as an initial framework to prompt earlier recognition of high-risk patients. This may guide perioperative optimization, such as aggressive pulmonary care, earlier timing of surgery, and tailored cranioplasty planning.

Table 1

Proposed clinical rules for predicting complications following DC

Rule 1

History of significant pulmonary complications (e.g., chronic obstructive pulmonary disease, recent pneumonia) → associated with increased postoperative pulmonary events and prolonged ventilation

Rule 2

When we found a preoperative ICP > 30 mm Hg → linked with poor brain compliance and higher risk of herniation syndromes

Rule 3

For any skull defect > 15 cm in diameter → correlates with higher rates of wound complications, paradoxical herniation, and delayed cranioplasty challenges

Rule 4

Timing of DC > 72 hours after initial injury → associated with more pronounced cerebral edema, adhesions, and higher infection risk

Rule 5

Preoperative osmotic therapy > 48 hours → may indicate ongoing refractory intracranial hypertension and higher likelihood of secondary injury

Rule 6

Presence of brainstem compression signs preoperatively (e.g., pupillary asymmetry, posturing) → predicts poor neurologic recovery and increased postoperative instability

Rule 7

Poor baseline functional status (mRS ≥ 3) → associated with reduced rehabilitation potential and higher complication burden.

Abbreviations: DC, decompressive craniectomy; ICP, intracranial pressure; mRS, modified Ranking scale.


Seven pragmatic clinical rules may assist neurosurgeons in anticipating complications after DC. While not a substitute for comprehensive clinical judgment, they offer a starting point for structured perioperative risk assessment. Validation in prospective studies is warranted. We recognize that these rules have many limitations including the absence of prospective validation and the potential variability of complication definitions across studies. We recommend that these rules be tested in multicenter cohorts to assess sensitivity, specificity, and predictive value.


Conflict of Interest

None declared.


Address for correspondence

Luis Rafael Moscote-Salazar, MD
Department of Research, AV Healthcare Innovators
LLC, Madison, WI 53716
United States   

Publication History

Article published online:
22 September 2025

© 2025. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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