Evidence map›Paper›PMID 41044016›Full record

ArticleChinese journal of traumatology = Zhonghua chuang shang za zhi2026

A nomogram for the prediction of traumatic intracranial abnormalities in the elderly: Development and validation.

Apisorn Jongjit, Thara Tunthanathip

Abstract readValidation Study
In one paragraph

Article in Chinese journal of traumatology = Zhonghua chuang shang za zhi, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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2 authors.

Apisorn JongjitFaculty of Medicine, Prince of Songkla University, Songkhla, 90110, Thailand.
Thara TunthanathipDivision of Neurosurgery, Department of Surgery, Faculty of Medicine, Prince of Songkla University, Songkhla, 90110, Thailand. Electronic address: tsus4@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTraumatic brain injury is a major public health issue and a leading cause of death and disability among the elderly. As a result, traumatic intracerebral abnormalities (tICA) are now frequently diagnosed using cranial computed tomography (cCT), which has led to an overuse of this investigation. The present study aimed to develop and validate the nomogram for predicting tICA in the elderly.

methodsThis was a retrospective cohort study. The study population consisted of patients who met the following inclusion criteria: (1) aged ≥60 years, as defined by the World Health Organization; (2) admitted to a tertiary referral hospital between January 2015 and December 2022; and (3) underwent cCT scanning upon admission. Exclusion criteria were (1) patients' images were unavailable or (2) patients died in the emergency department before hospitalization. The total data was divided into the development cohort (2015-2019, n=2052) to develop the nomogram and the validation cohort (2020-2022, n=310) to test the predictability as temporal validation. Binary logistic regression was used in the construction of the nomogram.

resultsThere were 2362 patients in the entire cohort. Positive CT scan rates among the elderly amount to 21.3%. Multivariable analysis identified the following factors significantly associated with traumatic intracranial hematoma in the elderly: use of aspirin (odds ratio (OR)=4.49, 95% confidence interval (CI) 3.08-6.54), warfarin usage (OR=6.88, 95% CI 2.99-15.8), traffic accidents (OR=1.98, 95% CI 1.46-2.68), Glasgow coma scale 9-12 (OR=3.24, 95% CI 1.66-6.35), amnesia (OR=1.65, 95% CI 1.17-2.33), nausea or vomiting (OR=12.5, 95% CI 5.56-28.07), seizure (OR=11.42, 95% CI 3.33-39.22), motor weakness (OR=65.45, 95% CI 18.68-229.29), and bleeding per nose or ear (OR=24.81, 95% CI 10.57-14.58). The predictability of the nomogram demonstrated sensitivity, specificity, and an area under the receiver operating characteristic curve of 0.833, 0.788, and 0.889, respectively.

conclusionAccording to the temporal validation, the nomogram had an outstanding performance for tICA prediction in the elderly. In the future, the prediction tool will assist clinicians in making judgments and balancing the rate of cCT in clinical practice.

Indexed as

Brain Injuries, TraumaticNomogramsAgedAged, 80 and overCohort StudiesFemaleHumansLogistic ModelsMaleRetrospective StudiesTomography, X-Ray ComputedClinical prediction toolCranial computed tomographyElderlyNomogramTraumatic brain injury

Identifiers

PMID41044016
PMCPMC13453622

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