Comprehensive comparison between geriatric and nongeriatric patients with trauma.

ABSTRACT: The incidence of geriatric trauma is increasing due to the growing elderly population. Healthcare providers require a global perspective to differentiate critical factors that might alter patients' prognosis.We retrospectively reviewed all adult patients admitted to a trauma center during a 4-year period. We identified 655 adult trauma patients aged from 18 to 64 (nongeriatric group) and 273 trauma patients ≥65 years (geriatric group). Clinical data were collected and compared between the 2 groups.The geriatric group had a higher incidence of trauma and higher Injury Severity Scores than did the nongeriatric group. Fewer geriatric patients underwent surgical treatment (all patients: geriatric vs nongeriatric: 65.9% vs 70.7%; patients with severe trauma: geriatric vs nongeriatric: 27.6% vs 44.5%). Regarding prognosis, the geriatric group exhibited higher mortality rate and less need for long-term care (geriatric vs nongeriatric: mortality: 5.5% vs 1.8%; long-term care: 2.2% vs 5.0%).We observed that geriatric patients had higher trauma incidence and higher trauma mortality rate. Aging is a definite predictor of poor outcomes for trauma patients. Limited physiological reserves and preference for less aggressive treatment might be the main reasons for poor outcomes in elderly individuals.

Minor Traumatic Intracranial Hemorrhage: Identifying Prognostic Factors and Comparing Patients with Favorable and Unfavorable Outcomes.

BACKGROUND: Whether patients with minor traumatic intracranial hemorrhage (MTICH) require intensive care remains uncertain. This study aimed to identify the factors affecting the postinjury neurologic outcomes of patients with MTICH to determine optimal care. METHODS: We retrospectively reviewed the data of all patients with trauma discharged from a tertiary trauma center during a 2-year period and included adult patients with isolated MTICH. Patient Glasgow Outcome Scale (GOS) score at discharge was the primary outcome measurement. A GOS score of 4 or 5 was defined as a favorable outcome, and a score of 1-3 was considered an unfavorable outcome. We compared the clinical data between favorable and unfavorable outcome groups to determine the differences between groups. RESULTS: Of the 11,814 patients considered, we identified 534 patients who met the inclusion criteria. Older adults accounted for 35.4% of the study cohort. Only 4 complications (0.7%) and 1 mortality (0.2%) were observed during hospitalization. The number of patients who requiring brain surgery, transfusion, mechanical ventilation, pressor, or invasive monitor was 5 (0.9%), 5 (0.9%), 3 (5.6%), 0 (0%), and 0 (0%), respectively. After multivariate analysis, we discovered that comorbidities, brain surgery requirement, respiratory rate, and Trauma Injury Severity Score were strongly associated with patient GOS score at discharge. CONCLUSIONS: MTICH rarely resulted in permanent morbidity and mortality. Older patients exhibited higher incidences of MTICH and were at a higher risk for unfavorable outcomes.

Predicting outcomes after trauma: Prognostic model development based on admission features through machine learning.

ABSTRACT: In an overcrowded emergency department (ED), trauma surgeons and emergency physicians need an accurate prognostic predictor for critical decision-making involving patients with severe trauma. We aimed to develope a machine learning-based early prognostic model based on admission features and initial ED management.We only recruited patients with severe trauma (defined as an injury severity score >15) as the study cohort and excluded children (defined as patients <16 years old) from a 4-years database (Chi-Mei Medical Center, from January 2015, to December 2018) recording the clinical features of all admitted trauma patients. We considered only patient features that could be determined within the first 2 hours after arrival to the ED. These variables included Glasgow Coma Scale (GCS) score; heart rate; respiratory rate; mean arterial pressure (MAP); prehospital cardiac arrest; abbreviated injury scales (AIS) of head and neck, thorax, and abdomen; and ED interventions (tracheal intubation/tracheostomy, blood product transfusion, thoracostomy, and cardiopulmonary resuscitation). The endpoint for prognostic analyses was mortality within 7 days of admission.We divided the study cohort into the early death group (149 patients who died within 7 days of admission) and non-early death group (2083 patients who survived at >7 days of admission). The extreme Gradient Boosting (XGBoost) machine learning model provided mortality prediction with higher accuracy (94.0%), higher sensitivity (98.0%), moderate specificity (54.8%), higher positive predict value (PPV) (95.4%), and moderate negative predictive value (NPV) (74.2%).We developed a machine learning-based prognostic model that showed high accuracy, high sensitivity, and high PPV for predicting the mortality of patients with severe trauma.

Clinical Features and Required Aids of Transferred Severe Trauma Patients.

BACKGROUND: It is crucial to identify the pivotal factors for transferring patients with major trauma. We aim to delineate the clinical features and required aids of severe trauma patients and identify the differences between those who were admitted directly to a trauma center and those transferred from other hospitals. METHODS: We retrospectively reviewed all hospitalized trauma patients discharged from the ward in Chi-Mei Medical Center from January 1, 2017 to December 31, 2018. Of 5,846 patients, we identified 1,061 patients with Injury Severity Score >15, of which 92 patients were transferred from two branch hospitals (branch group), 172 patients were transferred from other hospitals (other group), and 797 patients were admitted directly through the emergency department (control group). We compared the clinical variables between control and the other two groups. RESULTS: The branch group included a high proportion of pediatric patients (control: 1.8%, other: 2.3%, and branch: 6.5%). The branch group demonstrated higher requirements for life-saving interventions and arterial embolization (branch vs. control, life-saving interventions: 26.1% vs. 17.6%, p = 0.046; arterial embolization: 9.8% vs. 3.5%, p = 0.004). However, no statistically significant differences were observed between the control group and other group in terms of requirements of life-saving interventions. The prognoses were similar between the groups. CONCLUSIONS: Our trauma center can provide pediatric trauma care and timely life-saving interventions to help severe trauma patients transferred from other hospitals. The branch hospitals benefit mostly from the aid. Better network connection and information sharing between hospitals might play crucial roles in the management of transferred severe trauma patients.

Differences in injury and trauma management between migrant workers and citizens.

In Taiwan, legal migrant workers and almost all citizens are covered under the National Health Insurance program. Work-related injuries and various traumatic events constitute 2 major reasons for seeking medical care among migrant workers. Therefore, we conducted this retrospective study to delineate the clinical features of migrant workers with trauma and determine differences in trauma management between migrant workers and citizens under the current medical care and insurance system.We retrospectively reviewed the data of all patients with trauma who were discharged from adult wards between January 1, 2015 and December 31, 2016. We identified 5854 citizens and 110 migrant workers during the chart review. Data related to the prehospital period, emergency department, hospital course, and prognosis were collected and compared between migrant workers and citizens.More than half of the traumatic events among migrant workers occurred at factory, farm, or mine locations (migrant workers vs all citizens: 57.3% vs 11.5%), whereas most traumatic events among citizens occurred at street and home or dormitory locations (street: migrant workers vs all citizens: 17.3% vs 52.5%; home or dormitory: migrant workers vs all citizens: 0.9% vs 14.3%). Compared with citizens, migrant workers had lower scores in injury severity scores and new injury severity scores, but higher scores in revised trauma score and trauma and injury severity scores. The hospital course and prognosis were similar between migrant workers and citizens.Compared with citizens, migrant workers had a higher incidence of work-related injury and sustained less severe injuries. Under the coverage of the current health care and insurance system in Taiwan, migrant workers with trauma and work-related injuries receive comparable medical care and prognoses to citizens.