Long-term cochlear implantation outcomes in patients following head injury

Henry gas solubility optimization double machine learning classifier for neurosurgical patients

This study aims to predict head trauma outcome for Neurosurgical patients in children, adults, and elderly people. As Machine Learning (ML) algorithms are helpful in healthcare field, a comparative study of various ML techniques is developed. Several algorithms are utilized such as k-nearest neighbor, Random Forest (RF), C4.5, Artificial Neural Network, and Support Vector Machine (SVM). Their performance is assessed using anonymous patients' data. Then, a proposed double classifier based on Henry Gas Solubility Optimization (HGSO) is developed with Aquila optimizer (AQO). It is implemented for feature selection to classify patients' outcome status into four states. Those are mortality, morbidity, improved, or the same. The double classifiers are evaluated via various performance metrics including recall, precision, F-measure, accuracy, and sensitivity. Another contribution of this research is the original use of hybrid technique based on RF-SVM and HGSO to predict patient outcome status with high accuracy. It determines outcome status relationship with age and mode of trauma. The algorithm is tested on more than 1000 anonymous patients' data taken from a Neurosurgical unit of Mansoura International Hospital, Egypt. Experimental results show that the proposed method has the highest accuracy of 99.2% (with population size = 30) compared with other classifiers.

A Retrospective Study of the Effects of Traumatic Brain Injury on Auditory Function: From a Clinical Perspective

Purpose: The main purpose of this retrospective study was to identify auditory dysfunctions related to traumatic brain injury (TBI) in individuals evaluated in an Audiology clinic. Method: Peripheral and central auditory evaluations were performed from March 2014 to June 2018 in 26 patients (14 males) with TBI. The age of the participants ranged from 9 to 59 years old (34.24 ± 15.21). Six participants had blast-related TBI and 20 had blunt force TBI. Sixteen experienced a single TBI event whereas ten experienced several. Correlation analyses were performed to verify the relationship, if any, between the number of auditory tests failed and the number, type, and severity of TBIs. Result: All participants failed at least one auditory test. Nearly 60% had abnormal results on degraded speech tests (compressed and echoed, filtered or in background noise) and 25% had a high frequency hearing loss. There was no statistically significant correlation between the number of auditory tests failed and the number, type, and severity of TBIs. Conclusion: Results indicated negative and heterogenous effects of TBI on peripheral and central auditory function and highlighted the need for a more extensive auditory assessment in individuals with TBI.

Bilateral Cochlear Implantations in Temporal Bone Fracture: A Viable Treatment Option

OBJECTIVES/HYPOTHESIS

Although it is surgically more challenging, patients with bilateral temporal bone fractures (TBFs) are potential candidates for successful bilateral cochlear implantation (CI). This study aimed to investigate the feasibility of bilateral implantation in patients with sustained bilateral TBFs.

STUDY DESIGN

Retrospective database study.

METHODS

Seven patients with bilateral cochlear implants who were diagnosed with TBFs were included in this study. Preoperative radiological and audiological evaluations were performed. The outcomes of the CI were also investigated.

RESULTS

Hearing levels were restored to the mild-moderate range (<40 dB) for nearly all patients and they reported an improved quality of life.

CONCLUSIONS

CI in patients with TBF is safe and offers a solution for the restoration of hearing in a population who may experience sudden bilateral deafness. However, preoperative confirmation of intact auditory nerves and patent cochlea is essential to maximize the success of CI in this population.

LEVEL OF EVIDENCE

4 Laryngoscope, 2021.