Satish Dharap

Utility of optic nerve ultrasonography in head injury

BACKGROUND CT has evolved as the gold standard for evaluation of head injury, but early CT is not always possible. Bedside ultrasonography is available in most trauma units and optic nerve ultrasound (ONUS) examination should be feasible. OBJECTIVE To evaluate the role of ONUS for people with head injury. SETTING Tertiary care trauma service in a teaching hospital in a large metropolitan city in India. DESIGN Prospective, blinded, observational study. METHODS From April 2006 to January 2007, all adult patients with head injury but without obvious ocular trauma, for whom it was possible to perform CT, were enrolled. Using a 7.5-MHz ultrasonographic probe on the closed eyelids, optic nerve sheath diameter (ONSD) was measured on either side. A mean binocular ONSD less than 5.00 mm was considered normal. Cranial CT findings were used as a reference standard to evaluate ONUS. RESULTS The study included 100 participants (72 men, 28 women, median age 28 years, median Glasgow Coma Scale score 11). Clinical features did not correlate with CT for signs of raised intracranial pressure (ICP). The mean binocular ONSD (5.8+/-0.57 mm) was significantly increased among individuals with signs of raised ICP on CT compared with the mean ONSD (3.5+/-0.75 mm) among those without such signs. ONUS revealed evidence of raised ICP in 74 cases (confirmed by CT in 72 cases), 59 of whom had significant intracranial haematoma needing surgical evacuation. Of the 26 cases with negative ONUS, confirmed by CT in 25 cases, only 1 needed surgical intervention for drainage of intracranial haematoma. ONUS was false positive for two and false negative for one person. The sensitivity of ONUS in detecting elevated ICP was 98.6%, specificity 92.8%, positive predictive value 97.26% and negative predictive value 96.3%. CONCLUSION ONUS has potential as a sensitive bedside screening test for detecting raised ICP and the presence of intracranial haematoma needing surgical intervention in adult head injury. This can be of immense help for unstable patients, in mass casualty situations and in remote locations.

Predicting Early Mortality in Adult Trauma Patients Admitted to Three Public University Hospitals in Urban India: A Prospective Multicentre Cohort Study

Background In 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. Methods We 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. Results A 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. Conclusion This 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.

Early hospital mortality among adult trauma patients significantly declined between 1998-2011: three single-centre cohorts from Mumbai, India

Background Traumatic injury causes more than five million deaths each year of which about 90% occur in low- and middle-income countries (LMIC). Hospital trauma mortality has been significantly reduced in high-income countries, but to what extent similar results have been achieved in LMIC has not been studied in detail. Here, we assessed if early hospital mortality in patients with trauma has changed over time in an urban lower middle-income setting. Methods We conducted a retrospective study of patients admitted due to trauma in 1998, 2002, and 2011 to a large public hospital in Mumbai, India. Our outcome measure was early hospital mortality, defined as death between admission and 24-hours. We used multivariate logistic regression to assess the association between time and early hospital mortality, adjusting for patient case-mix. Injury severity was quantified using International Classification of Diseases-derived Injury Severity Score (ICISS). Major trauma was defined as ICISS<0.90. Results We analysed data on 4189 patients out of which 86.5% were males. A majority of patients were between 15 and 55 years old and 36.5% had major trauma. Overall early hospital mortality was 8.9% in 1998, 6.0% in 2002, and 8.1% in 2011. Among major trauma patients, early hospital mortality was 13.4%, in 1998, 11.3% in 2002, and 10.9% in 2011. Compared to trauma patients admitted in 1998, those admitted in 2011 had lower odds for early hospital mortality (OR = 0.56, 95% CI = 0.41–0.76) including those with major trauma (OR = 0.57, 95% CI = 0.41–0.78). Conclusions We observed a significant reduction in early hospital mortality among patients with major trauma between 1998 and 2011. Improved survival was evident only after we adjusted for patient case-mix. This finding highlights the importance of risk-adjustment when studying longitudinal mortality trends.

Validation of international trauma scoring systems in urban trauma centres in India

INTRODUCTION In the Lower-Middle Income Country setting, we validate trauma severity scoring systems, namely Injury Severity Score (ISS), New Injury Severity Scale (NISS) score, the Kampala Trauma Score (KTS), Revised Trauma Score (RTS) score and the TRauma Injury Severity Score (TRISS) using Indian trauma patients. PATIENTS AND METHODS From 1 September 2013 to 28 February 2015, we conducted a prospective multi-centre observational cohort study of trauma patients in four Indian university hospitals, in three megacities, Kolkata, Mumbai and Delhi. All adult patients presenting to the casualty department with a history of injury and who were admitted to inpatient care were included. The primary outcome was in-hospital mortality within 30-days of admission. The sensitivity and specificity of each score to predict inpatient mortality within 30days was assessed by the areas under the receiver operating characteristic curve (AUC). Model fit for the performance of individual scoring systems was accomplished by using the Akaike Information criterion (AIC). RESULTS In a registry of 8791 adult trauma patients, we had a cohort of 7197 patients eligible for the study. 4091 (56.8%)patients had all five scores available and was the sample for a complete case analysis. Over a 30-day period, the scores (AUC) was TRISS (0.82), RTS (0.81), KTS (0.74), NISS (0.65) and ISS (0.62). RTS was the most parsimonious model with the lowest AIC score. Considering overall mortality, both physiologic scores (RTS, KTS) had better discrimination and goodness-of-fit than ISS or NISS. The ability of all Injury scores to predict early mortality (24h) was better than late mortality (30day). CONCLUSION On-admission physiological scores outperformed the more expensive anatomy-based ISS and NISS. The retrospective nature of ISS and TRISS score calculations and incomplete imaging in LMICs precludes its use in the casualty department of LMICs. They will remain useful for outcome comparison across trauma centres. Physiological scores like the RTS and KTS will be the practical score to use in casualty departments in the urban Indian setting, to predict early trauma mortality and improve triage.

Ready, steady, go or just go? – The question of stabilization before transport for trauma victims

n 268 (231) 95 (156) 173 (75) Percentage 100% 35.5% (67.5%) 64.5% (32.5%) ISS mean score 23.45 (27.1) 23.37 (27.7) 23.54 (25.6) Hypotension 18.2% (29.9%) 17.89% (26.3%) 18.5% (37.3%) Initial GCS 9.45 (11.9) 9.38 (12.1) 9.53 (11.6) Mortality 45% (14.4%) 44% (14.1%) 46% (14.7%) Re: Cigarette smoking influences the clinical and occupational outcome of patients with tibial shaft fractures [Injury 2011;42(December (12)):1435–42]

Prehospital notification for major trauma patients requiring emergency hospital transport: a systematic review

This systematic review aimed to determine the effect of prehospital notification systems for major trauma patients on overall (<30 days) and early (<24 hours) mortality, hospital reception, and trauma team presence (or equivalent) on arrival, time to critical interventions, and length of hospital stay.

Protocol for a prospective observational study to improve prehospital notification of injured patients presenting to trauma centres in India

Introduction Prehospital notification of injured patients enables prompt and timely care in hospital through adequate preparation of trauma teams, space, equipment and consumables necessary for resuscitation, and may improve outcomes. In India, anecdotal reports suggest that prehospital notification, in those few places where it occurs, is unstructured and not linked to a well-defined hospital response. The aim of this manuscript is to describe, in detail, a study protocol for the evaluation of a formalised approach to prehospital notification. Methods and analysis This is a longitudinal prospective cohort study of injured patients being transported by ambulance to major trauma centres in India. In the preintervention phase, prospective data on patients will be collected on prehospital assessment, notification, inhospital assessment, management and outcomes and recorded in a new tailored multihospital trauma registry. All injured patients arriving by ambulance and allocated to a red or yellow priority category will be eligible for inclusion. The intervention will be a prehospital notification application to be used by ambulance clinicians to notify emergency departments of the impending arrival of a patient. The proportion of eligible patients arriving to hospital after notification will be the primary outcome measure. Secondary outcomes evaluated will be availability of a trauma cubicle, presence of a trauma team on patient arrival, time to first chest X-ray and inhospital mortality. Progress Ethical approval has been obtained from the All India Institute of Medical Sciences, New Delhi and site-specific approval granted by relevant trauma services. The trial has also been registered with the Monash University Human Research and Ethics Committee; Project number: CF16/1814 – 2016000929. Results will be fed back to prehospital and hospital clinicians via a series of reports and presentations. These will be used to facilitate discussions about service redesign and implementation. It is expected that evidence for improved outcomes will enable widespread adoption of this intervention among centres in all settings with less established tools for prehospital assessment and notification. Trial registration number NCT02877342; Pre-results.

Both the multiplicative and single-worst-injury International Classification of Diseases Injury Severity Score underperform in urban Indian hospitals

Introduction Trauma accounts for 9% of all deaths worldwide, killing almost five million people annually. As India accounts for more than one million of these deaths, research on local trauma care is of great importance. A key aspect of such research is outcome comparisons between contexts. One tool to adjust these comparisons for trauma severity is the International Classification of Diseases Injury Severity Score. The aim was to assess two versions of this score in India. Methods The data used were from the project Towards Improved Trauma Care Outcomes in India. Published survival risk ratios were used to calculate multiplicative-International Classification of Diseases Injury Severity Score and single-worst-injury-International Classification of Diseases Injury Severity Score for the 200 most recent non-surviving patients and the surviving patients during the same period. Score performance was measured in discrimination and calibration. Results The 30-day prediction single-worst-injury-International Classification of Diseases Injury Severity Score discriminated best with an area under the receiver operating characteristics curve of 0.668 (95% CI 0.645–0.690) and a calibration slope of 0.830 (95% CI 0.708–0.940). Conclusions The single-worst-injury-International Classification of Diseases Injury Severity Score applied on 30-day mortality was the only score to calibrate on a satisfactory level. None of the scores had an acceptable discrimination. In interpreting these findings, we see that none of the tested scores can currently be implemented in the studied hospitals.

Predicting mortality with the international classification of disease injury severity score using survival risk ratios derived from an Indian trauma population: A cohort study

Background Trauma is predicted to become the third leading cause of death in India by 2020, which indicate the need for urgent action. Trauma scores such as the international classification of diseases injury severity score (ICISS) have been used with great success in trauma research and in quality programmes to improve trauma care. To this date no valid trauma score has been developed for the Indian population. Study design This retrospective cohort study used a dataset of 16047 trauma-patients from four public university hospitals in urban India, which was divided into derivation and validation subsets. All injuries in the dataset were assigned an international classification of disease (ICD) code. Survival Risk Ratios (SRRs), for mortality within 24 hours and 30 days were then calculated for each ICD-code and used to calculate the corresponding ICISS. Score performance was measured using discrimination by calculating the area under the receiver operating characteristics curve (AUROCC) and calibration by calculating the calibration slope and intercept to plot a calibration curve. Results Predictions of 30-day mortality showed an AUROCC of 0.618, calibration slope of 0.269 and calibration intercept of 0.071. Estimates of 24-hour mortality consistently showed low AUROCCs and negative calibration slopes. Conclusions We attempted to derive and validate a version of the ICISS using SRRs calculated from an Indian population. However, the developed ICISS-scores overestimate mortality and implementing these scores in clinical or policy contexts is not recommended. This study, as well as previous reports, suggest that other scoring systems might be better suited for India and other Low- and middle-income countries until more data are available.

Bilobed gallbladder: a rare congenital anomaly

Bilobed gallbladder is a rare form of duplication of gallbladder. Preoperative diagnosis is important to avoid peroperative complications; however, it is also a challenge as imaging reports are often confounding. A case of bilobed gallbladder managed successfully laparoscopically is presented.