This review offers low-quality evidence for the effectiveness of an inclusive design and trauma system maturity and very-low-quality evidence for helicopter transport in reducing injury mortality. Further research should evaluate other recommended components of trauma systems and non-fatal outcomes and explore the impact of system component interactions.

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BackgroundA 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.MethodsAll 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).ResultsDuring 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.ConclusionFifty-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.

Using a multi-institutional Indian registry, this study is the first to systematically document that the 30-day in-hospital trauma mortality was twice that found in similar registries from high-income countries. Physiological scoring of on-admission vitals was clinically useful to predict mortality. More research is needed to understand the causes of high mortality and time delays in the process of delivering trauma care in India, which has no prehospital or trauma system.

BackgroundIn India alone, more than one million people die yearly due to trauma. Identification of patients at risk of early mortality is crucial to guide clinical management and explain prognosis. Prediction models can support clinical judgement, but existing models have methodological limitations. The aim of this study was to derive a vital sign based prediction model for early mortality among adult trauma patients admitted to three public university hospitals in urban India.MethodsWe conducted a prospective cohort study of adult trauma patients admitted to three urban university hospitals in India between October 2013 and January 2014. The outcome measure was mortality within 24 hours. We used logistic regression with restricted cubic splines to derive our model. We assessed model performance in terms of discrimination, calibration, and optimism.ResultsA total of 1629 patients were included. Median age was 35, 80% were males. Mortality between admission and 24 hours was 6%. Our final model included systolic blood pressure, heart rate, and Glasgow coma scale. Our model displayed good discrimination, with an area under the receiver operating characteristics curve (AUROCC) of 0.85. Predicted mortality corresponded well with observed mortality, indicating good calibration.ConclusionThis study showed that routinely recorded systolic blood pressure, heart rate, and Glasgow coma scale predicted early hospital mortality in trauma patients admitted to three public university hospitals in urban India. Our model needs to be externally validated before it can be applied in the clinical setting.

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OBJECTIVETraumatic brain injury (TBI) is a global epidemic with an increasing incidence in low- and middle-income countries (LMICs). The time from arrival at the hospital to receiving appropriate treatment (“third delay”) can vary widely in LMICs, although its association with mortality in TBI remains unknown.METHODSA retrospective cohort analysis with multivariable logistic regression was conducted using the Toward Improved Trauma Care Outcomes in India database, which contains data from 4 urban trauma centers in India from 2013–2015.RESULTSThere were 6278 TBIs included in the cohort. The patients’ median age was 39 years (interquartile range 27–52 years) and 80% of patients were male. The most frequent mechanisms of injury were road traffic accidents (52%) and falls (34%). A majority of cases were transfers from other facilities (79%). In-hospital 30-day mortality was 27%; of patients who died, 21% died within 24 hours of arrival. The median third delay was 10 minutes (interquartile range 0–60 minutes); 34% of cases had moderate third delay (10–60 minutes) and 22% had extended third delay (≥ 61 minutes). Overall 30-day mortality was associated with moderate third delay (OR 1.3, p = 0.001) and extended third delay (OR 1.3, p = 0.001) after adjustment by pertinent covariates. This effect was pronounced for 24-hour mortality: moderate and extended third delays were independently associated with ORs of 3.4 and 3.8, respectively, for 24-hour mortality (both p < 0.001).CONCLUSIONSThird delay is associated with early mortality in patients with TBI, and represents a target for process improvement in urban trauma centers.

The incidence of CL with or without palate was found to be 0.7 per 1,000 live births. The large number of unoperated cases (backlog) of cleft deformities suggests a big burden of unmet need in rural India.