Glasgow coma scale compared to other trauma scores in discriminating in-hospital mortality of traumatic brain injury patients admitted to urban Indian hospitals: A multicentre prospective cohort study.

BACKGROUND: Glasgow Coma Scale (GCS) is one of the most commonly used trauma scores and is a good predictor of outcome in traumatic brain injury (TBI) patients. There are other more complex scores with additional physiological parameters. Whether they discriminate better than GCS in predicting mortality in TBI patients is debatable. The aim of this study was to compare the discrimination of GCS with that of MGAP, GAP, RTS and KTS for 24-hour and 30-day in-hospital mortality in adult TBI patients, in a resource limited LMIC setting. METHOD: We analysed data from the multicentre, observational trauma cohort Towards Improved Trauma Care Outcome (TITCO) in India. We included all patients 18 years or older, admitted from the emergency department with TBI. The Area Under the Receiver Operating Characteristic (AUROC) curve was used to quantify and compare the discrimination of all scores: GCS; Revised Trauma Score (RTS); mechanism, GCS, age, systolic blood pressure (MGAP); GCS, age, systolic blood pressure (GAP) and Kampala Trauma Score (KTS) in the prediction of 24-hour and 30-day in-hospital mortality. RESULTS: A total of 3306 TBI patients were included in this study. The majority were within the GCS range 3-8. The commonest mechanism of injury was road traffic injuries [1907(58.0%)]. In-hospital mortality was 27.2% (899). There was no significant difference in discrimination in 24-hour in-hospital mortality when comparing GCS with MGAP and GAP. While GCS performed better than KTS, RTS performed better than GCS. For 30-day in-hospital mortality, GCS discriminated significantly better compared with KTS, but there was no significant difference when compared to MGAP and RTS. GAP discriminated significantly better when compared with GCS. CONCLUSION: This study shows that the discrimination of GCS is comparable to that of more complex trauma scores in predicting 24-hour and 30-day in-hospital mortality in adult TBI patients in a resource limited LMIC setting.

Mortality from fall: A descriptive analysis of a multicenter Indian trauma registry.

INTRODUCTION: Fall is the second most common mechanism of trauma worldwide after road traffic injuries. Data on fall predominantly comes from the high-income countries (HICs) and mostly includes injuries in children and elderly. There are very few studies from low- and middle-income countries(LMICs) that describe fall related injuries other than fragility fractures in elderly. This study describes the profile of poly-trauma patients admitted with a history of 'fall' and assesses the variables associated with mortality. METHOD: We analyzed data from the 'Towards Improved Trauma Care Outcome' (TITCO) database which prospectively collected data of poly-trauma patients admitted to four major tertiary care hospitals of India between 2013 to 2015. Patients across all age groups admitted to hospital with the history of 'fall'; were included in our study. Single bone fractures were excluded.  The Kaplan Meier survival analysis was used to estimate the survival probability in different age groups. RESULTS: A total of 3686 patients were included in our study. The median age of the patients was 28 years (IQR: 9, 47) with the majority being males (73.6%). Almost one-third of the patients were within the age group of 0-14 (30.4%). Most of the patients (79.9%) had a diagnosis of traumatic brain injury (TBI). The overall in-hospital mortality was 18% (664), but higher at 39.0% among patients over 65 years of age. Probability of survival decreased with increase of age. CONCLUSION: Falling from height is a common injury mechanism in India, occurring more in young males and usually associated with TBI. Isolated TBI and TBI associated with other injuries are the main contributors of mortality in fall injuries. Mortality from these injuries increased with age and ISS.

Learning from 2523 trauma deaths in India- opportunities to prevent in-hospital deaths.

BACKGROUND: A systematic analysis of trauma deaths is a step towards trauma quality improvement in Indian hospitals. This study estimates the magnitude of preventable trauma deaths in five Indian hospitals, and uses a peer-review process to identify opportunities for improvement (OFI) in trauma care delivery. METHODS: All trauma deaths that occurred within 30 days of hospitalization in five urban university hospitals in India were retrospectively abstracted for demography, mechanism of injury, transfer status, injury description by clinical, investigation and operative findings. Using mixed methods, they were quantitatively stratified by the standardized Injury Severity Score (ISS) into mild (1-8), moderate (9-15), severe (16-25), profound (26-75) ISS categories, and by time to death within 24 h, 7, or 30 days. Using peer-review and Delphi methods, we defined optimal trauma care within the Indian context and evaluated each death for preventability, using the following categories: Preventable (P), Potentially preventable (PP), Non-preventable (NP) and Non-preventable but care could have been improved (NPI). RESULTS: During the 18 month study period, there were 11,671 trauma admissions and 2523 deaths within 30 days (21.6%). The overall proportion of preventable deaths was 58%, among 2057 eligible deaths. In patients with a mild ISS score, 71% of deaths were preventable. In the moderate category, 56% were preventable, and 60% in the severe group and 44% in the profound group were preventable. Traumatic brain injury and burns accounted for the majority of non-preventable deaths. The important areas for improvement in the preventable deaths subset, inadequacies in airway management (14.3%) and resuscitation with hemorrhage control (16.3%). System-related issues included lack of protocols, lack of adherence to protocols, pre-hospital delays and delays in imaging. CONCLUSION: Fifty-eight percent of all trauma deaths were classified as preventable. Two-thirds of the deaths with injury severity scores of less than 16 were preventable. This large subgroup of Indian urban trauma patients could possibly be saved by urgent attention and corrective action. Low-cost interventions such as airway management, fluid resuscitation, hemorrhage control and surgical decision-making protocols, were identified as OFI. Establishment of clinical protocols and timely processes of trauma care delivery are the next steps towards improving care.

Traumatic transfers: calibration is adversely affected when prediction models are transferred between trauma care contexts in India and the United States.

OBJECTIVE: We evaluated the transferability of prediction models between trauma care contexts in India and the United States and explored updating methods to adjust such models for new contexts. STUDY DESIGN AND SETTINGS: Using a combination of prospective cohort and registry data from 3,728 patients of Towards Improved Trauma Care Outcomes in India (TITCO) and from 18,756 patients of the US National Trauma Data Bank (NTDB), we derived models in one context and validated them in the other, assessing them for discrimination and calibration using systolic blood pressure, heart rate, and Glasgow coma scale as candidate predictors. RESULTS: Early mortality was 8% in the TITCO and 1-2% in the NTDB samples. Both models discriminated well, but the TITCO model overestimated the risk of mortality in NTDB patients, and the NTDB model underestimated the risk in TITCO patients. CONCLUSION: Transferability was good in terms of discrimination but poor in terms of calibration. It was possible to improve this miscalibration by updating the models' intercept. This updating method could be used in samples with as few as 25 events.