METHODS: A retrospective analysis of 14 cases of children who were admitted to the Pediatric Neurosurgical Unit of Hospital Kuala Lumpur after sustaining head injuries caused by fan blades between January 2000 and December 2002 was performed.
RESULTS: The causes of fan-blade head injury included jumping on the upper bunk of a bunk-bed, climbing on a ladder, climbing up onto a table, and being lifted by an adult. Thirteen patients were injured by ceiling fans and one by falling onto an uncovered table fan. School-aged boys were the predominant victims. Mean patient age was 7.9 years (range, 1.0-12.2 years). There was a twin peak incidence of when the accidents occurred: just before lunch in the afternoon and bedtime at night. The types of injury were scalp lacerations, compound depressed fractures and multiple intracranial haemorrhages. Two patients had the complication of wound infection, and one of these patients developed cerebral spinal fluid leak. One patient died from severe head injuries.
CONCLUSION: Safety awareness among parents and caretakers are important as fan-blade head injury among children is preventable.
METHOD: A cohort study was conducted where 33 severe TBI survivors recruited at two tertiary hospitals. The health-related quality of life was measured using the Quality of Life after Brain Injury (QOLIBRI) tool.
RESULTS: Participants mean age was 31.79 years old. The impaired range of health-related quality of life on 6 months post-injury seen, but an improvement occurs within 3-6 months post-injury.
CONCLUSIONS: Age and ventilation duration showed a moderate negative correlation in all domains and length of hospital stay showed a moderate negative correlation to social, daily life and self-domains. Nevertheless, small sample size and time constraint were the limitations of this study.
METHODS: Group I (N=12) underwent ORIF. Group II (N=15) underwent APSF. Anthropometric data, pre and post-operative stay, complications and duration off work were recorded in this retrospective case cohort study. Radiographs were analyzed for Bohler's, Gissane's angle and Sanders' classification. AOFAS Hindfoot and SF 36 scores were collected at final follow-up.
RESULTS: Anthropometric data, Bohler's and Gissane's angles, AOFAS and SF 36 scores were not significantly different. Pre-operative duration was 12.3 days in ORIF and 6.9 days in APSF. Post-operative duration was 7.3 days vs 3.8 days. Duration off work was 6.2 months vs 2.9 months.
CONCLUSION: The APSF group was able to have surgery earlier, go home faster, and return to work earlier. This study was not powered to demonstrate a difference in wound complication rates.
METHOD: This retrospective study included patients with major trauma injuries reported to a trauma centre of Hospital Sultanah Aminah over a 6-year period from 2011 and 2017. Model validation was examined using the measures of discrimination and calibration. Discrimination was assessed using the area under the receiver operating characteristic curve (AUC) and 95% confidence interval (CI). The Hosmer-Lemeshow (H-L) goodness-of-fit test was used to examine calibration capabilities. The predictive validity of both MTOS-TRISS and NTrD-TRISS models were further evaluated by incorporating parameters such as the New Injury Severity Scale and the Injury Severity Score.
RESULTS: Total patients of 3788 (3434 blunt and 354 penetrating injuries) with average age of 37 years (standard deviation of 16 years) were included in this study. All MTOS-TRISS and NTrD-TRISS models examined in this study showed adequate discriminative ability with AUCs ranged from 0.86 to 0.89 for patients with blunt trauma mechanism and 0.89 to 0.99 for patients with penetrating trauma mechanism. The H-L goodness-of-fit test indicated the NTrD-TRISS model calibrated as good as the MTOS-TRISS model for patients with blunt trauma mechanism.
CONCLUSION: For patients with blunt trauma mechanism, both the MTOS-TRISS and NTrD-TRISS models showed good discrimination and calibration performances. Discrimination performance for the NTrD-TRISS model was revealed to be as good as the MTOS-TRISS model specifically for patients with penetrating trauma mechanism. Overall, this validation study has ascertained the discrimination and calibration performances of the NTrD-TRISS model to be as good as the MTOS-TRISS model particularly for patients with blunt trauma mechanism.
METHOD: A total of 3825 trauma patients from 2011 to 2016 were extracted from the Hospital Sultanah Aminah Trauma Surgery Registry. Patients were split into a development sample (n = 2683) and a validation sample (n = 1142). Univariate analysis is applied to identify significant anatomic predictors. These predictors were further analyzed using multivariable logistic regression to develop the new score and compared to existing score systems. The quality of prediction was determined regarding discrimination using sensitivity, specificity and receiver operating characteristic [ROC] curve.
RESULTS: Existing simplified score systems (GAP & mGAP) revealed areas under the ROC curve of 0.825 and 0.806. The newly developed HeCLLiP (Head, cervical spine, lung, liver, pelvic fracture) score combines only five anatomic components: injury involving head, cervical spine, lung, liver and pelvic bone. The probabilities of mortality can be estimated by charting the total score points onto a graph chart or using the cut-off value of (>2) with a sensitivity of 79.2 and specificity of 70.6% on the validation dataset. The HeCLLiP score achieved comparable values of 0.802 for the area under the ROC curve in validation samples.
CONCLUSION: HeCLLiP Score is a simplified anatomic score suited to the local Malaysian population with a good predictive ability for trauma mortality.
METHODS AND FINDINGS: We conducted a retrospective cohort study of trauma patients transported from the scene to hospitals by emergency medical service (EMS) from January 1, 2016, to November 30, 2018, using data from the Pan-Asia Trauma Outcomes Study (PATOS) database. Prehospital time intervals were categorized into response time (RT), scene to hospital time (SH), and total prehospital time (TPT). The outcomes were 30-day mortality and functional status at hospital discharge. Multivariable logistic regression was used to investigate the association of prehospital time and outcomes to adjust for factors including age, sex, mechanism and type of injury, Injury Severity Score (ISS), Revised Trauma Score (RTS), and prehospital interventions. Overall, 24,365 patients from 4 countries (645 patients from Japan, 16,476 patients from Korea, 5,358 patients from Malaysia, and 1,886 patients from Taiwan) were included in the analysis. Among included patients, the median age was 45 years (lower quartile [Q1]-upper quartile [Q3]: 25-62), and 15,498 (63.6%) patients were male. Median (Q1-Q3) RT, SH, and TPT were 20 (Q1-Q3: 12-39), 21 (Q1-Q3: 16-29), and 47 (Q1-Q3: 32-60) minutes, respectively. In all, 280 patients (1.1%) died within 30 days after injury. Prehospital time intervals were not associated with 30-day mortality. The adjusted odds ratios (aORs) per 10 minutes of RT, SH, and TPT were 0.99 (95% CI 0.92-1.06, p = 0.740), 1.08 (95% CI 1.00-1.17, p = 0.065), and 1.03 (95% CI 0.98-1.09, p = 0.236), respectively. However, long prehospital time was detrimental to functional survival. The aORs of RT, SH, and TPT per 10-minute delay were 1.06 (95% CI 1.04-1.08, p < 0.001), 1.05 (95% CI 1.01-1.08, p = 0.007), and 1.06 (95% CI 1.04-1.08, p < 0.001), respectively. The key limitation of our study is the missing data inherent to the retrospective design. Another major limitation is the aggregate nature of the data from different countries and unaccounted confounders such as in-hospital management.
CONCLUSIONS: Longer prehospital time was not associated with an increased risk of 30-day mortality, but it may be associated with increased risk of poor functional outcomes in injured patients. This finding supports the concept of the "golden hour" for trauma patients during prehospital care in the countries studied.