Literature DB >> 25317389

Correlation of shock index and modified shock index with the outcome of adult trauma patients: a prospective study of 9860 patients.

Ajai Singh1, Sabir Ali1, Avinash Agarwal2, Rajeshwar Nath Srivastava1.   

Abstract

BACKGROUND: Triage at emergency department is performed to identify those patients who are relatively more serious and require immediate attention and treatment. Despite current methods of triage, trauma continues to be a leading cause of morbidity and mortality. AIMS: This study was to evaluate the predictive value of shock index (SI) and modified shock index (MSI) for hospital mortality among adult trauma patients.
MATERIALS AND METHODS: In this prospective longitudinal study, all adult patients who sustained trauma enrolled as per as inclusion/exclusion criteria. After the collection of data, SI and MSI were calculated accordingly. All parameters were again recorded hourly and calculations were done at six-hour intervals. Further, to achieve a value that can be analyzed, we determined threshold value for vital signs, which set the threshold values as heart rate at 120 beats per minute, systolic blood pressure at less than 90, and SI at cut-off 0.5-0.9 and MSI at less than 0.7 to more than 1.3.
RESULTS: We analyzed 9860 adult trauma patients. Multivariate regression analysis demonstrated that heart rate more than 120 beats per minute, systolic blood pressure less than 90 mmHg, and diastolic blood pressure (DBP) less than 60 mmHg correlate with hospital stay and mortality rate. MSI <0.7 and >1.3 had higher odds of mortality as compared to other predictors.
CONCLUSIONS: MSI is an important marker for predicting the mortality rate and is significantly better than heart rate, systolic blood pressure, DBP and SI alone. Therefore, modified SI should be used in the triage of serious patients, including trauma patients in the emergency room.

Entities:  

Keywords:  Modified shock index; Shock index; Trauma; Trauma patients

Year:  2014        PMID: 25317389      PMCID: PMC4193151          DOI: 10.4103/1947-2714.141632

Source DB:  PubMed          Journal:  N Am J Med Sci        ISSN: 1947-2714


Introduction

Triage at emergency department is performed to identify patients who are relatively more serious and require immediate attention and treatment. Despite current methods of triage, trauma continues to be a leading cause of morbidity and mortality. At most medical institutions, this triage is being done by senior nurses or resident doctors. This triage is usually based on the age of patients, presenting history, patients’ vital signs, level of consciousness, and obvious severity of injury.[1] We worked to study an easy, less technical, and reproducible marker to easily predict the outcome of trauma patients in the emergency room. This will result into an objective triage at the emergency room. Presently, various clinical parameters including heart rate (HR), pulse rate (PR), blood pressure (BP), shock index (SI), and modified shock index (MSI) are analyzed to predict the severity of serious patients at an emergency room in various retrospective studies.[12] We worked on these parameters to assess their correlation with the outcome of the trauma patients in the present prospective cohort study. SI is calculated by dividing HR by systolic blood pressure (SBP).[1] SI can be used to predict the severity of hypovolemic shock. Previous studies[234] have found that patients with SI more than 0.9 had a greater mortality rate. Liu et al.[5] observed that these emergency patients are complex. They reported that in addition to SBP, diastolic blood pressure (DBP) is also vital to predict the severity of these patients. They also observed that HR more than 120 beats per minute, SBP less than 90 mmHg and DBP less than 60 mmHg correlated with mortality rates of emergency patients. They recommended incorporation of DBP in the assessment of these patients. In contrast to the traditional beliefs, they found a non-significant correlation of SI of 0.5-0.9 with mortalities of these emergency patients.[5] In another study,[6] SI has been shown to assist in identification of shock states in poly trauma patients. They also found that SI correlates with hospital stay, duration of stay in ICU, duration of ventilatory support, and use of blood. Despite the evidences that SI is a good tool, doubts have been raised regarding whether SI stood good for all age groups, especially for elderly patients. The present prospective study was designed to analyze the relationship of SI and MSI with the outcome of adult trauma patients at an institutional level II trauma center.

Materials and Methods

This is a prospective longitudinal study of all trauma patients presenting at an institutional level II trauma center since January 2013 to Dec 2013. An approval from the institutional ethics committee was obtained to carry out the study. This trauma center is a tertiary referral center serving both urban and rural patients of all socioeconomic status. All adult patients sustaining trauma and presenting to the emergency room were evaluated for inclusion. All patients who were referred from another hospital after the first aid, died within the first six hours of arrival, patients less than 18 years and those with incomplete data were excluded. Following data of included patients were collected at the time of admission: Age of patients, gender, heart rate, systolic blood pressure, diastolic blood pressure, level of consciousness. SI and MSI were accordingly calculated using the following formulas: SI = HR/SBP MSI = HR/MAP MAP = [(DBP × 2) + SBP]/3 (Where; HR = Heart rate; SBP = Systolic Blood pressure; DBP = Diastolic blood pressure; MAP = Mean arterial pressure) All parameters were again recorded at hourly manner and calculations of MSI and SI were done at six hours. To achieve a value that can be analyzed, we determined the threshold value for vital signs based on cut off to observe in a study,[5] which set the threshold values as HR at 120 beats per minute, SBP at less than 90 mmHg and SI at cut off 0.5-0.9 and MSI at less than 0.7 to more than 1.3. For each parameter, any value surpassing the cut-off limits at any hourly monitoring was recorded for evaluation. The end point of the present study was hospital stay, ICU stay, and in-hospital mortality.

Statistical analysis

Multivariate logistic regression analysis was made using SAS software. The confidence level of the study was kept at 95% and a P value less than 0.05 indicated a statistically significant association.

Results

Out of total 16673 trauma patients, 13338 were adult patients. Out of these, 1333 (10%) patients were referred cases from other hospital after the primary resuscitation there. Total 249 (1.8%) patients died within six hour of hospital arrival. As per protocol, these referred and expired cases were excluded from the study. The records of 1896 (14.2%) were incomplete; therefore, these patients were also excluded. We analyzed total 9860 patients in the present study. Most common modes of injury in our study were road traffic accident (59.3%) followed by firearm injury in 14.9% of patients. Amongst these 373 (3.8%) patients were shifted to ICU and 800 (8.1%) died within seven days of admission. Table 1 describes the patients' characteristics in the derivation and validation.
Table 1

Patients characteristics in the derivation and validation sets (n = 9860)

Patients characteristics in the derivation and validation sets (n = 9860) Multivariate regression analysis demonstrated that HR more than 120 beats per minute, SBP less than 90 mmHg and DBP less than 60 mmHg correlate with mortality rate. When age and sex were also included in regression analysis to account for these effects on results, we found no significant association between age of patients and outcome (P = 0.058) and sex of patient and outcome (P = 0.68). [Table 2] shows various parameters and their correlation with mortality prediction.
Table 2

Prediction of mortality based on multivariate logistic regression

Prediction of mortality based on multivariate logistic regression

Discussion

Most trauma centers triage the trauma patients presenting to their emergency room into life threatening, possible life threatening and no urgency. However, it is practically difficult to quantify the severity of these life-threatening conditions. In a previous study,[5] the vital signs such as SBP less than 90 mmHg, DBP less than 60 mmHg, and HR more than 120 beats per minute were found to be the important predictors of outcome of these emergency patients. The observations and results of the present study confirm the above observations. In the present study, we observed that among traditionally used predictors SBP <90 mmHg had the maximum odds of mortality (OR = 2.6); however, both cut-offs of MSI, viz. <0.7 and >1.3, had higher odds of mortality (1.2 times and 1.55 times higher than for SBP <90 mmHg), thus showing the relative superiority of MSI in the prediction of hospital mortality. SI is known as hemodynamic stability indicator. This index is used to assess the amount of blood loss and the degree of hypovolemic shock. It is considered as a better marker for assessing the severity of shock than HR and BP alone. Thus, in clinical practice, SI has been used to assess the severity of emergency patients. However, while calculating SI, DBP is totally neglected. Most studies[17891011] used SBP to predict the outcome of the emergency patients. However, in a retrospective study, DBP was observed as an indicator of the severity of the patients.[5] The mean blood pressure can best represent tissue perfusion status. MSI indicates the stroke volume and systemic vascular resistance.[5] High MSI shows a value of stroke volume and low systemic vascular resistance, a sign of hypodynamic circulation. However, low MSI indicates a hyperdynamic state. Therefore, both high and low MSI indicates the serious state of the emergency patients. MSI was considered as a better marker for mortality rate prediction.[5] One of the limitations of the present study was our inability to control the large data loss owing to lack of coordination between different hospital departments. Despite this limitation, in the present prospective study, we observed that MSI of less than 0.7 and more than 1.3 is associated with significantly higher mortality rate. MSI takes into account valuable information related with cardiovascular and hemodynamic stability by incorporating HR, SBP, and DBP, thus making it a comprehensive tool for assessment. Moreover, it is easy to calculate. Although MAP is a function of SBP and DBP, most of the monitors used in trauma centre settings record it as a separate entity and hence, the calculation remains an easy task to perform. In conclusion, the present prospective study results show that MSI, as a potential marker for predicting the mortality rate and is significantly better than HR, SBP, DBP, and SI alone. Thus, MSI emerges as a better and improved predictor for prediction of hospital mortality in adult trauma patients in the emergency room.
  10 in total

1.  Manual vital signs reliably predict need for life-saving interventions in trauma patients.

Authors:  John B Holcomb; Jose Salinas; John M McManus; Charles C Miller; William H Cooke; Victor A Convertino
Journal:  J Trauma       Date:  2005-10

2.  Systolic blood pressure below 110 mmHg is associated with increased mortality in penetrating major trauma patients: Multicentre cohort study.

Authors:  Rebecca M Hasler; Eveline Nüesch; Peter Jüni; Omar Bouamra; Aristomenis K Exadaktylos; Fiona Lecky
Journal:  Resuscitation       Date:  2011-11-03       Impact factor: 5.262

3.  An analysis of shock index as a correlate for outcomes in trauma by age group.

Authors:  Andrea McNab; Bracken Burns; Indermeet Bhullar; David Chesire; Andrew Kerwin
Journal:  Surgery       Date:  2013-08       Impact factor: 3.982

4.  Utility of the shock index in predicting mortality in traumatically injured patients.

Authors:  Chad M Cannon; Carla C Braxton; Mendy Kling-Smith; Jonathan D Mahnken; Elizabeth Carlton; Michael Moncure
Journal:  J Trauma       Date:  2009-12

5.  Evaluation of prehospital and emergency department systolic blood pressure as a predictor of in-hospital mortality.

Authors:  Fariborz Lalezarzadeh; Paul Wisniewski; Katie Huynh; Maria Loza; Dev Gnanadev
Journal:  Am Surg       Date:  2009-10       Impact factor: 0.688

6.  A comparison of the shock index and conventional vital signs to identify acute, critical illness in the emergency department.

Authors:  M Y Rady; H A Smithline; H Blake; R Nowak; E Rivers
Journal:  Ann Emerg Med       Date:  1994-10       Impact factor: 5.721

7.  Modified shock index and mortality rate of emergency patients.

Authors:  Ye-Cheng Liu; Ji-Hai Liu; Zhe Amy Fang; Guang-Liang Shan; Jun Xu; Zhi-Wei Qi; Hua-Dong Zhu; Zhong Wang; Xue-Zhong Yu
Journal:  World J Emerg Med       Date:  2012

8.  Hypotension begins at 110 mm Hg: redefining "hypotension" with data.

Authors:  Brian J Eastridge; Jose Salinas; John G McManus; Lorne Blackburn; Eileen M Bugler; William H Cooke; Victor A Convertino; Victor A Concertino; Charles E Wade; John B Holcomb
Journal:  J Trauma       Date:  2007-08

9.  Simple triage scoring system predicting death and the need for critical care resources for use during epidemics.

Authors:  Daniel Talmor; Alan E Jones; Lewis Rubinson; Michael D Howell; Nathan I Shapiro
Journal:  Crit Care Med       Date:  2007-05       Impact factor: 7.598

10.  The Shock Index revisited - a fast guide to transfusion requirement? A retrospective analysis on 21,853 patients derived from the TraumaRegister DGU.

Authors:  Manuel Mutschler; Ulrike Nienaber; Matthias Münzberg; Christoph Wölfl; Herbert Schoechl; Thomas Paffrath; Bertil Bouillon; Marc Maegele
Journal:  Crit Care       Date:  2013-08-12       Impact factor: 9.097

  10 in total
  20 in total

1.  Respiratory adjusted shock index for identifying occult shock and level of Care in Sepsis Patients.

Authors:  Lynn Jiang; Nicholas D Caputo; Bernard P Chang
Journal:  Am J Emerg Med       Date:  2019-01-15       Impact factor: 2.469

2.  Searching for mortality predictors in trauma patients: a challenging task.

Authors:  A A Cevik; F M Abu-Zidan
Journal:  Eur J Trauma Emerg Surg       Date:  2017-08-28       Impact factor: 3.693

Review 3.  Shock index as a predictor for mortality in trauma patients: a systematic review and meta-analysis.

Authors:  Malene Vang; Maria Østberg; Jacob Steinmetz; Lars S Rasmussen
Journal:  Eur J Trauma Emerg Surg       Date:  2022-03-08       Impact factor: 2.374

4.  Prehospital shock index, modified shock index, and pulse pressure heart rate ratio as predictors of massive blood transfusions in modern warfare injuries: A retrospective analysis.

Authors:  Amit Sharma; U Naga Satish; M S Tevatia; S K Singh
Journal:  Med J Armed Forces India       Date:  2018-10-09

5.  Developing a Low-resource Approach to Trauma Patient Care - Findings from a Nigerian Trauma Registry.

Authors:  Timothy E Nottidge; Bolanle A Nottidge; Ifiok C Udomesiet; Enoette E Uduehe
Journal:  Niger J Surg       Date:  2021-03-09

6.  Prognostic Performance of Shock Index, Diastolic Shock Index, Age Shock Index, and Modified Shock Index in COVID-19 Pneumonia.

Authors:  Mustafa Avci; Fatih Doganay
Journal:  Disaster Med Public Health Prep       Date:  2022-05-02       Impact factor: 5.556

7.  Prediction of Massive Transfusion in Trauma Patients with Shock Index, Modified Shock Index, and Age Shock Index.

Authors:  Cheng-Shyuan Rau; Shao-Chun Wu; Spencer C H Kuo; Kuo Pao-Jen; Hsu Shiun-Yuan; Yi-Chun Chen; Hsiao-Yun Hsieh; Ching-Hua Hsieh; Hang-Tsung Liu
Journal:  Int J Environ Res Public Health       Date:  2016-07-05       Impact factor: 3.390

8.  Shock index increase from the field to the emergency room is associated with higher odds of massive transfusion in trauma patients with stable blood pressure: A cross-sectional analysis.

Authors:  Shao-Chun Wu; Cheng-Shyuan Rau; Spencer C H Kuo; Shiun-Yuan Hsu; Hsiao-Yun Hsieh; Ching-Hua Hsieh
Journal:  PLoS One       Date:  2019-04-25       Impact factor: 3.240

9.  Validation of the Shock Index, Modified Shock Index, and Age Shock Index for Predicting Mortality of Geriatric Trauma Patients in Emergency Departments.

Authors:  Soon Yong Kim; Ki Jeong Hong; Sang Do Shin; Young Sun Ro; Ki Ok Ahn; Yu Jin Kim; Eui Jung Lee
Journal:  J Korean Med Sci       Date:  2016-12       Impact factor: 2.153

Review 10.  Guiding Management in Severe Trauma: Reviewing Factors Predicting Outcome in Vastly Injured Patients.

Authors:  Emmanuel Lilitsis; Sofia Xenaki; Elias Athanasakis; Eleftherios Papadakis; Pavlina Syrogianni; George Chalkiadakis; Emmanuel Chrysos
Journal:  J Emerg Trauma Shock       Date:  2018 Apr-Jun
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