Distribution of shock index and age shock index score among trauma patients in India

Bhandarkar, Prashant; Munivenkatappa, Ashok; Roy, Nobhojit; Kumar, Vineet; Samudrala, Veda Dhruthy; Agrawal, Amit

doi:10.4103/ijciis.ijciis_19_17

Cited by 4 publications

(4 citation statements)

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“…This finding of the GCS and mortality association in this large dataset validates the appropriate use of GCS for triage on-admission in Indian trauma patients. Increasing age is associated with a higher probability of 30-day mortality and this is consistent with findings worldwide [ 15 ].…”

Section: Discussionsupporting

confidence: 91%

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An Analysis of 30‐Day in‐Hospital Trauma Mortality in Four Urban University Hospitals Using the Australia India Trauma Registry

et al. 2020

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Background India has one-sixth (16%) of the world’s population but more than one-fifth (21%) of the world’s injury mortality. A trauma registry established by the Australia India Trauma Systems Collaboration (AITSC) Project was utilized to study 30-day in-hospital trauma mortality at high-volume Indian hospitals. Methods The AITSC Project collected data prospectively between April 2016 and March 2018 at four Indian university hospitals in New Delhi, Mumbai, and Ahmedabad. Patients admitted with an injury mechanism of road or rail-related injury, fall, assault, or burns were included. The associations between demographic, physiological on-admission vitals, and process-of-care parameters with early (0–24 h), delayed (1–7 days), and late (8–30 days) in-hospital trauma mortality were analyzed. Results Of 9354 patients in the AITSC registry, 8606 were subjected to analysis. The 30-day mortality was 12.4% among all trauma victims. Early (24-h) mortality was 1.9%, delayed (1–7 days) mortality was 7.3%, and late (8–30 days) mortality was 3.2%. Abnormal physiological parameters such as a low SBP, SpO2, and GCS and high HR and RR were observed among non-survivors. Early initiation of trauma assessment and monitoring on arrival was an important process of care indicator for predicting 30-day survival. Conclusions One in ten admitted trauma patients (12.4%) died in urban trauma centers in India. More than half of the trauma deaths were delayed, beyond 24 h but within one week following injury. On-admission physiological vital signs remain a valid predictor of early 24-h trauma mortality.

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Section: Discussionsupporting

confidence: 91%

“…A low GCS (< 9) on arrival was seen to be associated with 53% mortality in our study. In many trauma studies, a low on-arrival GCS was considered as a strong predictor of trauma mortality [ 13 – 15 ]. Our data confirmed this finding and the overall mortality progressively decreased with an increasing on-arrival GCS.…”

Section: Discussionmentioning

confidence: 99%

An Analysis of 30‐Day in‐Hospital Trauma Mortality in Four Urban University Hospitals Using the Australia India Trauma Registry

et al. 2020

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“…Age is an important factor that influence and associated with outcome after injury. Increasing age with decreased physiologic reserve, diminished metabolic, and hormonal response are well-recognized risk factors for poorer outcomes after injury [ 14 , 18 , 19 ]. The present study result reports that increase in age group have higher percentages of mortality in group 3 & 4 of SI.…”

Section: Discussionmentioning

confidence: 99%

“…SI and Age SI are at no cost used as bed side tools and serve as an adjuvant to notify treating physician at emergency for which patient to prioritize for immediate management. Compared to SI, Age SI have reported to have better predictive values with higher values of area under the curve (AUC) for their corresponding ROC curves [ 14 ].…”

Section: Discussionmentioning

confidence: 99%

Pattern and Distribution of Shock Index and Age Shock Index Score Among Trauma Patients in Towards Improved Trauma Care Outcomes (TITCO) Dataset

Bhandarkar

Munivenkatappa

Roy

et al. 2018

BEAT

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Objective: To compare the shock index (SI – which is the ratio of heart rate to systolic blood pressure) and Age SI (Age in years multiplied by SI) with survival outcome of the patients across multicenter trauma registry in India.Methods:Study is based on Towards Improved Trauma Care Outcomes (TITCO) project. Records with valid details of age, heart rate, systolic blood pressure, Injury Severity Scale (ISS) and Glasgow Coma Scale (GCS) score was considered. SI was categorized into four groups; Group I (SI<0.6) as no shock, group II (SI ≥0.6 to <1.0) as mild shock, group III (SI ≥1.0 to <1.4) as moderate shock and group IV (SI ≥1.4) as severe shock. Age SI was categorized decade wise into six groups. Mortality was dependent variable. GCS and ISS were considered as secondary variables. Results: 10843 participants from TITCO registry satisfying inclusion-exclusion criteria were considered for study. Mean SI score in group I to IV was increasing with 0.53 to 1.72 respectively. Age SI was seen to be increasing across its six groups. Gender wise no difference was found among SI group. For severe ISS and critical ISS, mortality in SI group IV was 50% and 56 % respectively. Mortality was increasing across mild to severe GCS among all SI groups. Conclusion:The categorized SI and Age SI had shown increase in death percentages from mild to severe severity of injuries. Similar to GCS and ISS, SI and Age SI should also be calculated and categorized in all health care and further plan for management aspects.

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Shock Index for the Prediction of Interventions and Mortality in Patients With Blunt Thoracic Trauma

Asim¹,

El‐Menyar²,

Chughtai³

et al. 2023

Journal of Surgical Research

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Distribution of shock index and age shock index score among trauma patients in India

Cited by 4 publications

References 6 publications

An Analysis of 30‐Day in‐Hospital Trauma Mortality in Four Urban University Hospitals Using the Australia India Trauma Registry

An Analysis of 30‐Day in‐Hospital Trauma Mortality in Four Urban University Hospitals Using the Australia India Trauma Registry

Pattern and Distribution of Shock Index and Age Shock Index Score Among Trauma Patients in Towards Improved Trauma Care Outcomes (TITCO) Dataset

Shock Index for the Prediction of Interventions and Mortality in Patients With Blunt Thoracic Trauma

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