Admission Shock Index Research Articles

Association between the shock index on admission and in-hospital mortality in the cardiac intensive care unit.

An elevated shock index (SI) predicts worse outcomes in multiple clinical arenas. We aimed to determine whether the SI can aid in mortality risk stratification in unselected cardiac intensive care unit patients. We included admissions to the Mayo Clinic from 2007 to 2015 and stratified them based on admission SI. The primary outcome was in-hospital mortality, and predictors of in-hospital mortality were analyzed using multivariable logistic regression. We included 9,939 unique cardiac intensive care unit patients with available data for SI. Patients were grouped by SI as follows: < 0.6, 3,973 (40%); 0.6-0.99, 4,810 (48%); and ≥ 1.0, 1,156 (12%). After multivariable adjustment, both heart rate (adjusted OR 1.06 per 10 beats per minute higher; CI 1.02-1.10; p-value 0.005) and systolic blood pressure (adjusted OR 0.94 per 10 mmHg higher; CI 0.90-0.97; p-value < 0.001) remained associated with higher in-hospital mortality. As SI increased there was an incremental increase in in-hospital mortality (adjusted OR 1.07 per 0.1 beats per minute/mmHg higher, CI 1.04-1.10, p-Value < 0.001). A higher SI was associated with increased mortality across all examined admission diagnoses. The SI is a simple and universally available bedside marker that can be used at the time of admission to predict in-hospital mortality in cardiac intensive care unit patients.

Impact of hypocalcemia on mortality in pediatric trauma patients who require transfusion.

Admission hypocalcemia has been associated with poor outcomes in injured adults. The impact of hypocalcemia on mortality has not been widely studied in pediatric trauma. A pediatric trauma center database was queried retrospectively (2013-2022) for children younger than 18 years who received blood transfusion within 24 hours of injury and had ionized calcium (iCal) level on admission. Children who received massive transfusion (>40 mL/kg) prior to hospital arrival or calcium prior to laboratory testing were excluded. Hypocalcemia was defined by the laboratory lower limit (iCal <1.00). Main outcomes were in-hospital mortality and 24-hour blood product requirements. Logistic regression analysis was performed to adjust for Injury Severity Score (ISS), admission shock index, Glasgow Coma Scale (GCS) score, and weight-adjusted total transfusion volume. In total, 331 children with median (IQR) age of 7 years (2-3 years) and median (IQR) ISS 25 (14-33) were included, 32 (10%) of whom were hypocalcemic on arrival to the hospital. The hypocalcemic cohort had higher ISS (median (IQR) 30(24-36) vs. 22 (13-30)) and lower admission GCS score (median (IQR) 3 (3-12) vs. 8 (3-15)). Age, sex, race, and mechanism were not significantly different between groups. On univariate analysis, hypocalcemia was associated with increased in-hospital (56% vs. 18%; p < 0.001) and 24-hour (28% vs. 5%; p < 0.001) mortality. Children who were hypocalcemic received a median (IQR) of 22 mL/kg (7-38) more in total weight-adjusted 24-hour blood product transfusion following admission compared to the normocalcemic cohort ( p = 0.005). After adjusting for ISS, shock index, GCS score, and total transfusion volume, hypocalcemia remained independently associated with increased 24-hour (odds ratio, 4.93; 95% confidence interval, 1.77-13.77; p = 0.002) and in-hospital mortality (odds ratio, 3.41; 95% confidence interval, 1.22-9.51; p = 0.019). Hypocalcemia is independently associated with mortality and receipt of greater weight-adjusted volumes of blood product transfusion after injury in children. The benefit of timely calcium administration in pediatric trauma needs further exploration. Prognostic and Epidemiological; Level III.

Abstract 12052: Association Between the Shock Index on Admission and In-Hospital Mortality in the Cardiac Intensive Care Unit

Introduction: An elevated shock index (SI) predicts worse outcomes in multiple clinical arenas. We aimed to determine whether the SI can aid in mortality risk stratification in unselected CICU patients. Methods: We included admissions to the Mayo Clinic from 2007 to 2015 and stratified them based on admission SI, defined as heart rate divided by systolic blood pressure. The primary outcome was in-hospital mortality, and predictors of in-hospital mortality were analyzed using multivariable logistic regression. Results: We included 9,939 unique CICU patients with available data for SI. The mean age was 69 years old (37% female). Median HR, SBP, and shock index for our cohort were 79 beats per minute (BPM), 121 mmHg, and 0.65 BPM/mmHg, respectively. Patients were grouped by SI as follows: &lt; 0.6, 3,973 (40%); 0.6-0.99, 4,810 (48%); and ≥ 1.0, 1,156 (12%). After multivariable adjustment, both HR (adjusted OR 1.06 per 10 BPM higher; CI 1.02-1.10; p-value 0.005) and SBP (adjusted OR 0.94 per 10 mmHg higher; CI 0.90-0.97; p-value &lt; 0.001) remained associated with higher in-hospital mortality. As SI increased there was an incremental increase in in-hospital mortality (adjusted OR 1.07 per 0.1 BPM/mmHg higher, CI 1.04-1.10, p-Value &lt; 0.001). A higher SI was associated with increased mortality across all examined admission diagnoses, including acute coronary syndromes, heart failure, and cardiogenic shock. Conclusions: The SI is a simple and universally available bedside marker that can be used at the time of admission to predict in-hospital mortality in CICU patients across a variety of cardiac conditions.

Time to Whole Blood Transfusion in Hemorrhaging Civilian Trauma Patients: There Is Always Room for Improvement.

Whole blood (WB) is becoming the preferred product for the resuscitation of hemorrhaging trauma patients. However, there is a lack of data on the optimum timing of receiving WB. We aimed to assess the effect of time to WB transfusion on the outcomes of trauma patients. The American College of Surgeons TQIP 2017 to 2019 database was analyzed. Adult trauma patients who received at least 1 unit of WB within the first 2 hours of admission were included. Patients were stratified by time to first unit of WB transfusion (first 30 minutes, second 30 minutes, and second hour). Primary outcomes were 24-hour and in-hospital mortality, adjusting for potential confounders. A total of 1,952 patients were identified. Mean age and systolic blood pressure were 42 ± 18 years and 101 ± 35 mmHg, respectively. Median Injury Severity Score was 17 [10 to 26], and all groups had comparable injury severities (p = 0.27). Overall, 24-hour and in-hospital mortality rates were 14% and 19%, respectively. Transfusion of WB after 30 minutes was progressively associated with increased adjusted odds of 24-hour mortality (second 30 minutes: adjusted odds ratio [aOR] 2.07, p = 0.015; second hour: aOR 2.39, p = 0.010) and in-hospital mortality (second 30 minutes: aOR 1.79, p = 0.025; second hour: aOR 1.98, p = 0.018). On subanalysis of patients with an admission shock index >1, every 30-minute delay in WB transfusion was associated with higher odds of 24-hour (aOR 1.23, p = 0.019) and in-hospital (aOR 1.18, p = 0.033) mortality. Every minute delay in WB transfusion is associated with a 2% increase in odds of 24-hour and in-hospital mortality among hemorrhaging trauma patients. WB should be readily available and easily accessible in the trauma bay for the early resuscitation of hemorrhaging patients.

Shock Index for Early Detection of Low Plasma Fibrinogen in Trauma: A Prospective Observational Cohort Pilot Study.

Shock index (a ratio between heart rate and systolic blood pressure) predicts transfusion requirements and the need for haemostatic resuscitation in severe trauma patients. In the present study, we aimed to determine whether prehospital and on-admission shock index values can be used to predict low plasma fibrinogen in trauma patients. Between January 2016 and February 2017, trauma patients admitted from the helicopter emergency medical service into two large trauma centres in the Czech Republic were prospectively assessed for demographic, laboratory and trauma-associated variables and shock index at scene, during transport and at admission to the emergency department. Hypofibrinogenemia defined as fibrinogen plasma level of 1.5 g·L-l was deemed as a cut-off for further analysis. Three hundred and twenty-two patients were screened for eligibility. Of these, 264 (83%) were included for further analysis. The hypofibrinogenemia was predicted by the worst prehospital shock index with the area under the receiver operating characteristics curve (AUROC) of 0.79 (95% CI 0.64-0.91) and by the admission shock index with AUROC of 0.79 (95% CI 0.66-0.91). For predicting hypofibrinogenemia, the prehospital shock index ≥ 1 has 0.5 sensitivity (95% CI 0.19-0.81), 0.88 specificity (95% CI 0.83-0.92) and a negative predictive value of 0.98 (0.96-0.99). The shock index may help to identify trauma patients at risk of hypofibrinogenemia early in the prehospital course.

Sex-Based Differences in Survival Among Patients with Acute Abdomen Undergoing Surgery in Malawi: A Propensity Weighted Analysis.

Sex disparities in access to health care in low-resource settings have been demonstrated. Still, there has been little research on the effect of sex on postoperative outcomes. We evaluated the relationship between sex and mortality after emergency abdominal surgery. We performed a retrospective cohort study using the acute care surgery database at Kamuzu Central Hospital (KCH) in Malawi. We included patients who underwent emergency abdominal surgery between 2013 and 2021. We created a propensity score weighted Cox proportional hazards model to assess the relationship between sex and inpatient survival. We included 2052 patients in the study, and 76% were males. The most common admission diagnosis in both groups was bowel obstruction. Females had a higher admission shock index than males (0.91 vs. 0.81, p < 0.001) and a longer delay from admission until surgery (1.47 vs. 0.79days, p < 0.001). Females and males had similar crude postoperative mortality (16.3% vs. 15.3%, p = 0.621). The final Cox proportional hazards regression model was based on the propensity-weighted cohort. The mortality hazard ratio was 0.65 among females compared to males (95% CI 0.46-0.92, p = 0.014). Our results show a survival advantage among female patients undergoing emergency abdominal surgery despite sex-based disparities in access to surgical care that favors males. Further research is needed to understand the mechanisms underlying these findings.

In-hospital mortality of acute pulmonary embolism: Predictive value of shock index, modified shock index, and age shock index scores

ObjectiveThe shock index (SI), modified shock index (MSI), and age shock index (ASI) have been reported to predict adverse outcomes in patients with different acute cardiovascular conditions. This study aimed to investigate the association between these indexes and in-hospital mortality in patients with acute pulmonary embolism. MethodsThe medical records of all adult patients who were hospitalized with acute pulmonary embolism between June 2014 and June 2019, were examined. Collected data included vital signs, demographic characteristics, comorbidities, and laboratory values on presentation. The predictive value of SI, MSI, ASI, and pulmonary embolism severity index (PESI) for predicting in-hospital mortality were compared by C-statistics. ResultsA total of 602 consecutive patients (mean age 66.7±13.2 years, 55% female) were included, and 62 (10.3%) of the patients died during their in-hospital course. The admission SI, MSI, ASI, and PESI were significantly higher in the deceased patients. After adjusting for other factors, the SI, MSI, PESI, and ASI were independent predictors of in-hospital mortality. The prognostic performance of ASI (C-statistics 0.74) was better than MSI (C-statistics 0.71), SI (C-statistics 0.68), and PESI (C-statistics 0.65). ConclusionThe ASI may be used to identify patients at risk for in-hospital mortality following acute pulmonary embolism.

OR78. The utility of shock index, modified shock index and age shock index to predict in-hospital mortality and icu admission in patients hospitalized with acute coronary syndrome

Abstract Aims The shock index (SI), the modified shock index (MSI), and the age shock index (ASI) are simple scales which can be obtained bedside. These scales have been studied to predict outcomes in various diseases. We aimed to evaluate the use of SI, MSI and ASI in patients hospitalized with acute coronary syndrome (ACS). Method and Result In this cross-sectional study, 102 patients who were admitted with ACS to Kediri General Hospital between January and June 2020 were included. Patients who presented with shock were excluded. We calculated for each patient the admission SI (defined as heart rate/systolic blood pressure), MSI (heart rate/mean arterial pressure), and ASI (age × SI). The mean SI was 0.70 ± 0.20, MSI was 0.95 ± 0.23 and ASI was 42.33 ± 14.17. Receiver-operating characteristic (ROC) curve analysis was used to assess the ability of SI, MSI and ASI to predict in-hospital mortality and ICU admission. The observed AUC of SI was 0.706 (95% CI 0.572-0.840), MSI was 0.705 (95% CI 0.58-0.83), and ASI was 0.687 (95% CI 0.540-0.834) in predicting in-hospital mortality. The cut-off point for SI was 0.75 with sensitivity of 69.2% and specificity of 67.4% in predicting in-hospital mortality. MSI demonstrated better C-statistics (0.665, 95% CI = 0.565 - 0.765) in predicting ICU admission. Conclusion SI had the best predictive value for in-hospital mortality compared with MSI and ASI, while MSI could predict ICU admission in patients with ACS.

Association of the All-Patient Refined Diagnosis-Related Groups Severity of Illness and Risk of Mortality Classification with Outcomes.

Diagnosis-related groups (DRGs) is a patient classification system used to characterize the types of patients that the hospital manages and to compare the resources needed during hospitalization. The DRG classification is based on International Classification of Diseases diagnoses, procedures, demographics, discharge status, and complications or comorbidities and compares hospital resources and outcomes used to determine how much Medicare pays the hospital for each "product/medical condition." The All-Patient Refined DRG (APR-DRG) incorporated severity of illness (SOI) and risk of mortality (ROM) into the DRG system to adjust for patient complexity to compare resource utilization, complication rates, and lengths of stay. This study included 18,478 adult patients admitted to a tertiary care center in Lubbock, Texas during a 1-year period. We recorded the APR-DRG SOI and ROM and some clinical information on these patients, including age, sex, admission shock index, admission glucose and lactate levels, diagnoses based on International Classification of Diseases, Tenth Revision discharge coding, length of stay, and mortality. We compared the levels of SOI and ROM across this clinical information. As the levels of SOI and ROM increase (which indicates increased disease severity and risk of mortality), age, glucose levels, lactate levels, shock index, length of stay, and mortality increased significantly (P < 0.001). Multiple logistic regression analysis demonstrated that each unit increase in ROM and SOI level was significantly associated with an 11.45 and a 10.37 times increase in the odds of in-hospital mortality, respectively. The C-statistics for the corresponding models are 0.947 and 0.929, respectively. When both ROM and SOI were included in the model, the magnitudes of increase in odds of in-hospital mortality were 5.61 and 1.17 times for ROM and SOI, respectively. The C-statistic is 0.949. This study indicates that the APR-DRG SOI and ROM scores provide a classification system that is associated with mortality and correlates with other clinical variables, such as the shock index and lactate levels, which are available on admission.

In-hospital mortality of acute pulmonary embolism: Predictive value of shock index, modified shock index, and age shock index scores

ObjectiveThe shock index (SI), modified shock index (MSI), and age shock index (ASI) have been reported to predict adverse outcomes in patients with different acute cardiovascular conditions. This study aimed to investigate the association between these indexes and in-hospital mortality in patients with acute pulmonary embolism. MethodsThe medical records of all adult patients who were hospitalized with acute pulmonary embolism between June 2014 and June 2019, were examined. Collected data included vital signs, demographic characteristics, comorbidities, and laboratory values on presentation. The predictive value of SI, MSI, ASI, and pulmonary embolism severity index (PESI) for predicting in-hospital mortality were compared by C-statistics. ResultsA total of 602 consecutive patients (mean age 66.7±13.2 years, 55% female) were included, and 62 (10.3%) of the patients died during their in-hospital course. The admission SI, MSI, ASI, and PESI were significantly higher in the deceased patients. After adjusting for other factors, the SI, MSI, PESI, and ASI were independent predictors of in-hospital mortality. The prognostic performance of ASI (C-statistics 0.74) was better than MSI (C-statistics 0.71), SI (C-statistics 0.68), and PESI (C-statistics 0.65). ConclusionThe ASI may be used to identify patients at risk for in-hospital mortality following acute pulmonary embolism.

The Bitter and the Sweet: Relationship of Lactate, Glucose, and Mortality After Severe Blunt Trauma.

Hyperglycemia is associated with mortality after trauma; however, few studies have simultaneously investigated the association of depth of shock and acute hyperglycemia. We evaluated lactate, as a surrogate measure for depth of shock, and glucose levels on mortality following severe blunt trauma. We hypothesize that measurements of both lactate and glucose are associated with mortality when considered simultaneously. This is a retrospective cohort study at a single academic trauma center. Inclusion criteria are age 18-89 years, blunt trauma, injury severity score (ISS) ≥15, and transferred from the scene of injury. All serum blood glucose and lactate values were analyzed within the first 24 hours of admission. Multiple metrics of glucose and lactate were calculated: first glucose (Glucadm) and lactate (Lacadm) at hospital admission, mean 24-hour after hospital admission glucose (Gluc24-hMean) and lactate (Lac24-hMean), maximum 24-hour after hospital admission glucose (Gluc24-hMax) and lactate (Lac24-hMax), and time-weighted 24-hour after hospital admission glucose (Gluc24-hTW) and lactate (Lac24-hTW). Primary outcome was in-hospital mortality. Multivariable logistic regression modeling assessed the odds ratio (OR) of mortality, after adjusting for confounding variables. A total of 1439 trauma patients were included. When metrics of both glucose and lactate were analyzed, after adjusting for age, ISS, and admission shock index, only lactate remained significantly associated with mortality: Lacadm (OR, 1.28; 95% confidence interval [CI], 1.13-1.44); Lac24-hMean (OR, 1.86; 95% CI, 1.52-2.28); Lac24-hMax (OR, 1.39; 95% CI, 1.23-1.56); and Lac24-hTW (OR, 1.86; 95% CI, 1.53-2.26). Lactate is associated with mortality in severely injured blunt trauma patients, after adjusting for injury severity, age, and shock index. However, we did not find evidence for an association of glucose with mortality after adjusting for lactate.

Comparison of the shock index, modified shock index, and age shock index in adult admissions to a tertiary hospital

Background: Multiple variables interact constantly to maintain the hemodynamic statusof patients. The shock index (SI), the modified shock index (MSI), and the age shock index(ASI) have been studied in different clinical settings to predict hemodynamic instability andassociated outcomes. These indices are calculated from simple hemodynamic parameters,are non-invasive, and represent no additional expense. We wanted to analyze the performanceof these three different indices in the patients admitted to our hospital.Methods: We performed a retrospective study in which we identified all adult patients(&gt;18 years, &lt;89 years) admitted to the University Medical Center in Lubbock, Texas, from10/01/2015 until 9/30/2016. We collected basic clinical information, including age, initialblood pressure measurements, discharge diagnoses, length of stay (LOS), and mortality.With these variables we calculated for each patient the admission SI (defined as heart rate/systolic blood pressure), MSI (heart rate/mean arterial pressure), and ASI (age × SI). Weseparated the patients according to their admission diagnoses and calculated the median and25th–75th percentiles for those parameters. We also compared mortality and LOS based ontheir admission SI using two different cutoff points at 0.7 and 1.0, their admission MSI (cutoff:1.3), and their ASI (cutoff: 50).Results: A total of 18,478 adult patients admitted to our institution were included in thisstudy. The median age was 53 years, the median LOS was 4 days, and the overall mortalitywas 3.8%. The median SI was 0.67; 43.3% of patients had an SI &gt; 0.7 and 8.11% had anSI &gt; 1.0. The median SI calculated for the patients with sepsis was 0.88; this was higher than therest of admission diagnoses (p &lt; 0.001). The mortality of the patients with an SI &gt; 0.7 was 5.1%and with SI &gt; 1.0 was 11.3% (p &lt; 0.001). When comparing the MSI, those with an MSI &gt; 1.3 hada mortality of 10.3%, and those with an ASI &gt; 50 had a mortality of 10.0% (p &lt; 0.001).Conclusions: The SI, MSI, and ASI are non-invasive calculations that may provide usefulinformation when triaging patients early during admission. The diagnosis of sepsis results in ahigher median SI, which may represent better prediction in outcomes compared with the restof admission diagnoses. In our study, the three indexes performed equally. Since the SI witha cut-off of 1.0 identified patients with higher mortality risk, we would recommend using thiscut-off instead of 0.7.

Effect of Prehospital Transport Factors on Shock Index, Serum Lactate, and Mortality in Children with Septic Shock: A Prospective Observational Study.

Context:Many children with septic shock either present late or are recognized late due to various reasons. Shock index (SI) is a valuable screening tool in dentifying high-risk septic patients in emergency department. Whether prehospital transport factors affect SI and clinical outcomes has not been evaluated.Aim:Our aim was to evaluate if prehospital transport-related factors such as mode of transport and referral from another hospital affect the admission SI and mortality in children with septic shock.Settings and Design:Prospective observational study conducted over 1-year period in the Pediatric Emergency and Intensive Care Unit of a tertiary care teaching hospital.Subjects and Methods:Children < 17 years of age were evaluated. Data collection included referral status, mode of transport, physiologic (SI and serum lactate), and clinical parameters.Statistical Analysis Used:Student's t-test was used for analyzing continuous variables. Chi-square/Fischer's exact test was used for analysis of categorical variables. P < 0.05 was considered as statistically significant.Results:Of 51 children, 21 (41%) were referred from other hospitals. Of these, less than half were transported by ambulance unaccompanied by any healthcare personnel. Twenty-six children (43%) died, of which 15 (71%) were referred. The median serum lactate, SI, and mortality were significantly higher in those referred. On multivariate analysis of factors associated with mortality, elevated SI and/or lactate >4 mmol/L and the “referral” status remained significant after adjusting for baseline variables and illness severity.Conclusions:Children with septic shock referred from other hospitals had higher SI, serum lactate, and mortality rates. Our study highlights the need for improving prehospital care and transportation in children with septic shock.

Does Lactate Affect the Association of Early Hyperglycemia and Multiple Organ Failure in Severely Injured Blunt Trauma Patients?

Early hyperglycemia is associated with multiple organ failure (MOF) after traumatic injury; however, few studies have considered the contribution of depth of clinical shock. We hypothesize that when considered simultaneously, glucose and lactate are associated with MOF in severely injured blunt trauma patients. We performed a retrospective investigation at a single tertiary care trauma center. Inclusion criteria were patient age ≥18 years, injury severity score (ISS) >15, blunt mechanism of injury, and an intensive care unit length of stay >48 hours. Patients with a history of diabetes or who did not survive the initial 48 hours were excluded. Demographics, injury severity, and physiologic data were recorded. Blood glucose and lactate values were collected from admission through the initial 24 hours of hospitalization. Multiple metrics of glucose and lactate were calculated: the first glucose (Glucadm, mg/dL) and lactate (Lacadm, mmol/L) at hospital admission, the mean initial 24-hour glucose (Gluc24hMean, mg/dL) and lactate (Lac24hMean, mmol/L), and the time-weighted initial 24-hour glucose (Gluc24hTW) and lactate (Lac24hTW). These metrics were divided into quartiles. The primary outcome was MOF. Separate Cox proportional hazard models were generated to assess the association of each individual glucose and lactate metric on MOF, after controlling for ISS, admission shock index, and disposition to the operating room after hospital admission. We assessed the interaction between glucose and lactate metrics in the multivariable models. Results are reported as hazard ratios (HRs) for an increase in the quartile level of glucose and lactate measurements, with 95% confidence intervals (CIs). A total of 507 severely injured blunt trauma patients were evaluated. MOF occurred in 46 of 507 (9.1%) patients and was associated with a greater median ISS (33.5, interquartile range [IQR]: 22-41 vs 27, IQR: 21-34; P < .001) and a greater median admission shock index (0.82, IQR: 0.68-1.1 vs 0.73, IQR: 0.60-0.91; P = .02). Patients who were transferred to the operating room after the initial trauma resuscitation were also more likely to develop MOF (20 of 119, 14.4% vs 26 of 369, 7.1%; P = .01). Three separate Cox proportional regression models demonstrated the following HR for an increase in the individual glucose metric quartile and MOF, while controlling for confounding variables: Glucadm HR: 1.35, 95% CI, 1.02-1.80; Gluc24hMean HR: 1.63, 95% CI, 1.14-2.32; Gluc24hTW HR: 1.14, 95% CI, 0.86-1.50. Three separate Cox proportional hazards models also demonstrated the following HR for each individual lactate metric quartile while controlling for the same confounders, with MOF again representing the dependent variable: Lacadm HR: 1.94, 95% CI, 1.38-2.96; Lac24hMean HR: 1.68, 95% CI, 1.22-2.31; Lac24hTW HR: 1.49, 95% CI, 1.10-2.02. When metrics of both glucose and lactate were entered into the same model only lactate remained significantly associated with MOF: Lacadm HR: 1.86, 95% CI, 1.29-2.69, Lac24hMean HR: 1.54, 95% CI, 1.11-2.12, and Lac24hTW HR: 1.48, 95% CI, 1.08-2.01. There was no significant interaction between lactate and glucose variables in relation to the primary outcome. When glucose and lactate are considered simultaneously, only lactate remained significantly associated with MOF in severely injured blunt trauma patients.

Age Shock Index is Superior to Shock Index and Modified Shock Index for Predicting Long-Term Prognosis in Acute Myocardial Infarction.

Shock index (SI) has been reported to help us predict adverse prognosis in patients with acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI). However, the prognostic value of age SI and modified shock index (MSI) in AMI undergoing PCI is unknown. Moreover, the prognostic performance of admission age SI is not compared with SI, MSI, and the Global Registry of Acute Coronary Events (GRACE) risk score. One thousand eight hundred sixty-four AMI patients undergoing PCI were analyzed in a retrospective cohort study. Clinical endpoint was all-cause mortality. The predictive performance of new models was assessed by C-statistic, Hosmer-Lemeshow test, Nagelkerke-R, Brier scores, integrated discrimination improvement (IDI), and net reclassification improvement (NRI). Multivariate analysis showed that higher age SI and MSI were both associated with a higher rate of all-cause mortality [age SI: hazard ratios (HR) = 1.025, 95% CI = 1.010-1.040, P = 0.001; MSI: HR = 2.902, 95% CI = 1.180-7.137, P = 0.020]. The prognostic performance of admission age SI was similar to the GRACE systems for predicting all-cause mortality (C-statistic: z = 0.437, P = 0.662; IDI: -0.005, P = 0.474; NRI: -0.028, P = 0.257), but better than admission SI (C-statistic: z = 3.944, P < 0.001; IDI: 0.012, P = 0.016; NRI: 0.472, P < 0.001) and admission MSI (C-statistic: z = 3.214, P = 0.001; IDI: 0.011, P = 0.001; NRI: 0.561, P < 0.001). Age SI alone can identify patients at high risk of death in AMI patients undergoing PCI. It is similar to GRACE but better than SI and MSI for predicting all-cause mortality. However, age SI is easier to calculate than GRACE.

Derivation and Validation of Shock Index as a parameter for Predicting Long-term Prognosis in Patients with Acute Coronary Syndrome

The objective of this study was to examine whether shock index (SI), defined by ratio of heart rate and systolic blood pressure, can predict long-term prognosis of acute coronary syndrome (ACS) in patients undergoing percutaneous coronary intervention (PCI) and to compare prognostic accuracy of SI with the Global Registry of Acute Coronary Events (GRACE) risk score. This study included individuals from 2 independent cohorts: derivation cohort (n = 2631) and validation cohort (n = 963). In the derivation cohort, we derived that higher admission SI was associated with a greater risk of long-term all-cause mortality [HR = 4.104, 95% CI 1.553 to 10.845, p = 0.004] after adjusting for covariates. We validated this finding in the validation cohort [HR = 10.091, 95% CI 2.205 to 46.187, p = 0.003]. Moreover, admission SI had similar performance to the GRACE score in determining all-cause mortality risk in both cohorts (derivation cohort, admission SI vs. GRACE, z = 1.919, p = 0.055; validation cohort, admission SI vs. GRACE, z = 1.039, p = 0.299). In conclusion, admission SI is an independent predictor of adverse outcome in ACS patients undergoing PCI, and can identify patients at high risk of death. SI and the GRACE score showed similar performance in predicting all-cause mortality, and SI is more readily obtained than the GRACE score.

Long-Term Prognostic Implications of the Admission Shock Index in Patients With Acute Myocardial Infarction Who Received Percutaneous Coronary Intervention.

The admission shock index (SI) enables prediction of short-term prognosis. This study investigated the prognostic implications of admission SI for predicting long-term prognoses for acute myocardial infarction (AMI). The participants were 680 patients with AMI who received percutaneous coronary intervention. Shock index is the ratio of heart rate and systolic blood pressure. Patients were classified as admission SI <0.66 (normal) and ≥0.66 (elevated; 75th percentile). The end point was 5-year major adverse cardiac events (MACEs). Elevated admission SI was seen in 176 patients. Peak creatine kinase levels were significantly higher and left ventricular ejection fraction was lower in the elevated SI group, which had a worse MACEs. In multivariate Cox regression analysis, SI ≥0.66 was a risk factor for MACE. Elevated admission SI was associated with poorer long-term prognosis.

Shock Index as a Predictor of Myocardial Damage and Clinical Outcome in ST-Elevation Myocardial Infarction.

Data on the prognostic value of the shock index in patients with ST-elevation myocardial infarction (STEMI) are scarce. Furthermore, the relationship of the shock index with myocardial damage is unknown. The aim of this study was to evaluate the association of the shock index with markers of myocardial damage and clinical outcome in patients with STEMI. This multicenter study analyzed 791 patients. Patients were categorized in 2 groups according to the admission shock index (optimized cut-off=0.62). Infarct severity was determined by cardiac magnetic resonance (CMR) imaging. Patients with cardiogenic shock that were unable to undergo CMR acquisition were excluded. Major adverse cardiac events (MACE) were defined as a composite of death, reinfarction and congestive heart failure within 12 months. Patients with elevated admission shock index (n=321 [40.6%]) had a significantly larger area-at-risk (37.6 [27.8-50.4] % of left ventricular volume [LV] vs. 34.3 [24.5-46.0] % LV, P=0.02), larger infarct size (19.5 [10.7-28.0] % LV vs. 14.9 [7.7-22.3] % LV, P<0.001), lower myocardial salvage index (46.2 [27.9-64.5] vs. 53.5 [36.5-75.2], P<0.001), and a larger extent of microvascular obstruction (0.3 [0.0-2.2] % LV vs. 0.0 [0.0-1.4] % LV, P=0.01). An elevated shock index was associated with reduced MACE-free survival (P<0.001). Furthermore, the admission shock index was identified as an independent predictor of MACE (hazard ratio=2.92 [1.24-4.22], P<0.01). STEMI patients with an elevated admission shock index had more pronounced myocardial and microvascular damage. Moreover, the shock index was independently associated with MACE at 12 months.

Usefulness of the Admission Shock Index for Predicting Short-Term Outcomes in Patients With St-Segment Elevation Myocardial Infarction: Huang B, Yang Y, Zhu J, et al. Am J Cardiol 2014;114:1315−21.

Usefulness of the Admission Shock Index for Predicting Short-Term Outcomes in Patients With St-Segment Elevation Myocardial Infarction: Huang B, Yang Y, Zhu J, et al. Am J Cardiol 2014;114:1315−21.

Usefulness of the Admission Shock Index for Predicting Short-Term Outcomes in Patients With ST-Segment Elevation Myocardial Infarction

Current risk scores of ST-segment elevation myocardial infarction (STEMI) need sophisticated algorithm and were limited for bedside use. Our study aimed to evaluate the usefulness of admission shock index (SI) for predicting the short-term outcomes in patients with STEMI. Included were 7,187 consecutive patients with STEMI. The admission SI was defined as the ratio of admission heart rate and systolic blood pressure. Patients were divided into 2 groups with SI <0.7 and ≥0.7, respectively, based on the receiver operating characteristic curve analysis. The major end points were 7- and 30-day all-cause mortality. Of 7,187 patients, 5,026 had admission SI <0.7 and 2,161 had admission SI ≥0.7. Those who presented with SI ≥0.7 had greater 7- and 30-day all-cause mortality and major adverse cardiovascular events than patients with SI <0.7. After multivariate adjustment, patients with SI ≥0.7 had a 2.2-fold increased risk of 7-day all-cause mortality (hazard ratio 2.21, 95% confidence interval [CI] 1.71 to 2.86) and 1.9-fold increased risk of 30-day all-cause mortality (hazard ratio 1.94, 95% CI 1.54 to 2.44). Moreover, admission SI ≥0.7 was also associated with 1.6- and 1.5-fold increased risk of 7- and 30-day major adverse cardiovascular events (hazard ratio 1.63, 95% CI 1.36 to 1.95 and hazard ratio 1.47, 95% CI 1.24 to 1.74, respectively). The C statistic of admission SI for predicting 7- and 30-day all-cause mortality was 0.701 and 0.686, respectively, compared with 0.744 and 0.738 from the Thrombolysis In Myocardial Infarction risk score. In conclusion, admission SI, an easily calculated index at first contact, may be a useful predictor for short-term outcomes especially for acute phase outcomes in patients with STEMI.