Evidence map›Paper›PMID 30568367›Full record

ArticleJournal of emergencies, trauma, and shock

International Classification of Diseases-Based Audit of the Injury Database to Understand the Injury Distribution in Patients Who have Sustained a Head Injury (International Classification of Diseases Codes: S00-S09).

Mitasha Singh, Ranabir Pal, Pradeep Yarasani, Prashant Bhandarkar, Ashok Munivenkatappa, Amit Agrawal

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Article in Journal of emergencies, trauma, and shock. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mitasha SinghDepartment of Community Medicine, ESIC Medical College and Hospital, Faridabad, Haryana, India.
Ranabir PalDepartment of Community Medicine, MGM Medical College and Hospital, Kishanganj, Bihar, India.
Pradeep YarasaniDepartment of Community Medicine, Katuri Medical College, Guntur, Andhra Pradesh, India.
Prashant BhandarkarDepartment of Statistics, Bhabha Atomic Research Centre, Mumbai, Maharashtra, India.
Ashok MunivenkatappaBangalore Unit, ICMR-National Institute of Virology, Bengaluru, India.
Amit AgrawalDepartment of Neurosurgery, Narayana Medical College Hospital, Nellore, Andhra Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraumatic brain injury (TBI) is the leading cause of mortality, morbidity, and disability globally. Methods for a reliable prediction of outcomes on the admission of TBI cases are of great clinical relevance to stakeholders.

objectivesThis study used the International Classification of Diseases-10 codes (S00-S09) for analysis of injury distribution of TBI patients and attempted to find the prognostic predictors of Glasgow coma scale (GCS) in the outcome from readily accessible parameters.

methodsThe data were reanalyzed from the Towards Improved Trauma Care Outcomes (TITCO) project from India. TITCO is the prospective, observational, multicenter trauma registry, contained data of trauma patients admitted to four public university hospitals in Mumbai, Delhi, and Kolkata collected from October 2013 to September 2015.

resultsAmong 8525 cases under study, low GCS scores before admission, which was dependent on the demographic variables and related risk factors occurring at the time of injury, were important in the prognostic predictors of mortality. However, survival probability during hospitalization remained uniformly uncertain for the elderly. Death as outcome of injury was dependent on the average intensity of injury, GCS on admission, critical injury severity score, and intubation within 1 h of admission and between 1 and 24 h of admission. These factors emerged as the independent predictors of fatality. The time of the day of injury did not yield any significant association with low GCS or demise in our study.

conclusionsGCS <8, i.e., severe at the time of admission, was an unfavorable predictor of in-hospital mortality.

Indexed as

Glasgow coma scaleinjury severity scoreoutcome assessmenttraumatic brain injury

Identifiers

PMID30568367
PMCPMC6262650

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