Clinical Validation of the Shock Index, Modified Shock Index, Delta Shock Index, and Shock Index-C for Emergency Department ST-Segment Elevation Myocardial Infarction

Chiang, Chiao-Ching; Lin, Chien-Fu; Liu, Peng-Huei; Chen, Fu-Cheng; Chiu, I-Min; Cheng, Fu-Jen

doi:10.3390/jcm11195839

Cited by 6 publications

(11 citation statements)

References 43 publications

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“…The high sensitivity and specificity was also found in the previous studies. Chiang et al, found that an SIC cut-off of 21.0 had sensitivity of 67.2% and specificity of 83.5% for in-hospital mortality of STEMI (in this study, SIC cut-off of 21 in STEMI population had sensitivity of 84.4% and specificity of 72.8% for in-hospital mortality) [ 15 ]. Ran et al, found a sensitivity of 82.4% and specificity of 77.8% for SIC cutoff of 10 in predicting in-hospital mortality (in this study, SIC cut-off of 10 in STEMI population had sensitivity of 86.7% and specificity of 62.4% for in-hospital mortality) [ 13 ].…”

Section: Discussionmentioning

confidence: 62%

“…This study found that SIC had an acceptable predictive value for in-hospital mortality both as numeric or categorical variable (AUC = 0.789, 95% CI: 0.748–0.831, p < 0.001; AUC = 0.729, 95% CI: 0.684–0.774, p < 0.001 respectively). Chiang et al also demonstrated that SIC had an acceptable predictive value for in-hospital mortality in STEMI patients (AUC = 0.792, 95% CI: 0.748–0.836, p < 0.001) [ 15 ]. Ran et al, found that the predictive value and calibration of SIC for in-hospital mortality was excellent in derivation [area under the curve (AUC) = 0.877, p < 0.001; Hosmer-Lemeshow chi-square = 3.95, p = 0.861] [ 13 ].…”

Section: Discussionmentioning

confidence: 99%

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Shock index creatinine: a new predictor of mortality in acute coronary syndrome patients

Shariefuddin,

Pramudyo,

Martha

2024

BMC Cardiovasc Disord

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Background The Shock Index Creatinine (SIC) scoring is a recently developed tool for risk stratification patients. These updated scoring was already used in ST-Elevation Myocardial Infarction (STEMI) patients. However its utility in predicting outcomes for patients with Acute Coronary Syndrome (ACS) remains unclear. This study aims to evaluate and update the current SIC score to predict in-hospital mortality among patients with ACS. Patients and methods A retrospective cohort, Single-centered study enrolled 1349 ACS patients aged ≥ 18 years old diagnosed with ACS was conducted between January 2018 to January 2022 who met for inclusion and exclusion criteria. Study subjects were analyzed for in-hospital mortality and evaluated using binary linear regression analysis. The area under the curve (AUC) of SIC score was obtain to predict the sensitivity and specificity. Results Multivariate analysis showed that SIC score was significantly associated with in-hospital mortality. High SIC score (SIC ≥ 25) had significantly higher in-hospital mortality (p < 0.001) with odds ratio for (95% CIs) were 2.655 (1.6–4.31). Receiver operating characteristics (ROC) curve analysis determine the predictive power of SIC score for in-hospital mortality. SIC had an acceptable predictive value for in-hospital mortality (AUC = 0.789, 95% CI: 0.748–0.831, p < 0.001). The SIC score for sensitivity and specificity were, respectively, 71.5% and 74.4%, with optimal cutoff of SIC ≥ 25. Conclusion SIC had acceptable predictive value for in-hospital mortality in patients with all ACS spectrums. SIC was a useful parameter for predicting in-hospital mortality, particularly with a score ≥ 25. This is the first study to evaluate SIC in all spectrums of ACS.

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Section: Discussionmentioning

confidence: 62%

Section: Discussionmentioning

confidence: 99%

Shock index creatinine: a new predictor of mortality in acute coronary syndrome patients

Shariefuddin,

Pramudyo,

Martha

2024

BMC Cardiovasc Disord

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“…13 The previous studies only evaluated the predictive value of SIC in the STEMI population, while in our study, patients with all ACS spectrums were included; adding unstable angina and NSTEMI patients into account. 13,15 Our results showed that SIC is not only useful for predicting mortality in STEMI but also in all ACS spectrums.…”

Section: Discussionmentioning

confidence: 72%

“…for in-hospital mortality of STEMI. 15 Ran et al, found a sensitivity of 82.4% and speci city of 77.8% for SIC cutoff of 10 in predicting in-hospital mortality. 13 Those ndings indicate that SIC had good sensitivity and speci city for predicting in-hospital mortality in STEMI and all spectrums of ACS.…”

Section: Discussionmentioning

confidence: 99%

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Shock Index Creatinine: A New Predictor of Mortality in Acute Coronary Syndrome Patients

Shariefuddin

Pramudyo

Martha

2023

Preprint

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Background The Shock Index Creatinine (SIC) scoring is a recently developed tool for risk stratification patients. These updated scoring was already used in ST-Elevation Myocardial Infarction (STEMI) patients. However its utility in predicting outcomes for patients with Acute Coronary Syndrome (ACS) remains unclear. This study aims to evaluate and update the current SIC score to predict in-hospital mortality among patients with ACS.Patients and methods: A retrospective cohort, Single-centered study enrolled 1393 ACS patients aged ≥ 18 years old diagnosed with ACS was conducted between January 2018 to January 2022. Study subjects were analyzed for in-hospital mortality and evaluated using binary linear regression analysis. The area under the curve (AUC) of SIC score was obtain to predict the sensitivity and specificity.Results Multivariate analysis showed that SIC score was significantly associated with in-hospital mortality. High SIC score (SIC ≥ 25) had significantly higher in-hospital mortality (p < 0.001) with odds ratio for (95% CIs) were 2.655 (1.6–4.31). Receiver operating characteristics (ROC) curve analysis determine the predictive power of SIC score for in-hospital mortality. SIC had an acceptable predictive value for in-hospital mortality (AUC = 0.789, 95% CI: 0.748–0.831, p < 0.001). The SIC score for sensitivity and specificity were, respectively, 71.5% and 74.4%, with optimal cutoff of SIC ≥ 25.Conclusion SIC had acceptable predictive value for in-hospital mortality in patients with all ACS spectrums. SIC was a useful parameter for predicting in-hospital mortality, particularly with a score ≥ 25. This is the first study to evaluate SIC in all spectrums of ACS.

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Decoding cardiogenic shock: assessing shock index and its variants as prognostic indicators for in‐hospital mortality

Colarusso,

Brahmbhatt,

Scolari

et al. 2024

ESC Heart Failure

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BackgroundCardiogenic shock (CS) is associated with high in‐hospital mortality. Objective assessment of its severity and prognosis is paramount for timely therapeutic interventions. This study aimed to evaluate the efficacy of the shock index (SI) and its variants as prognostic indicators for in‐hospital mortality.MethodsA retrospective study involving 1282 CS patients were evaluated. Baseline patient characteristics, clinical trajectory, hospital outcomes, and shock indices were collected and analysed. Receiver operating characteristic (ROC) curves were employed to determine the predictive accuracy of shock indices in predicting in‐hospital mortality.ResultsOf those evaluated, 866 (67.6%) survived until discharge. Non‐survivors were older (66.0 ± 13.7 vs. 57.4 ± 16.2, P < 0.001), had a higher incidence of cardiac risk factors, and were more likely to present with acute coronary syndrome (33.4% vs. 16.1%, P < 0.001) and out‐of‐hospital cardiac arrest (11.3% vs. 5.3%, P < 0.001). All mean shock indices were significantly higher in non‐survivors compared with survivors. ROC curves demonstrated that adjusted shock index (ASI), age‐modified shock index (AMSI), and shock index‐C (SIC) had the highest predictive accuracy for in‐hospital mortality, with AUC values of 0.654, 0.667, and 0.659, respectively. Subgroup analysis revealed that SIC had good predictive ability in patients with STEMI (AUC: 0.714) and ACS (AUC: 0.696) while AMSI and ASI were notably predictive in the OHCA group (AUC: 0.707 and 0.701, respectively).ConclusionsShock index and its variants, especially ASI, AMSI, and SIC, may be helpful in predicting in‐hospital mortality in CS patients. Their application could guide clinicians in upfront risk stratification. SIC, ASI, and AMSI show potential in predicting in‐hospital mortality in specific CS subsets (STEMI and OHCA). This is the first study to evaluate SI and its variants in CS patients.

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Clinical Validation of the Shock Index, Modified Shock Index, Delta Shock Index, and Shock Index-C for Emergency Department ST-Segment Elevation Myocardial Infarction

Cited by 6 publications

References 43 publications

Shock index creatinine: a new predictor of mortality in acute coronary syndrome patients

Shock index creatinine: a new predictor of mortality in acute coronary syndrome patients

Shock Index Creatinine: A New Predictor of Mortality in Acute Coronary Syndrome Patients

Decoding cardiogenic shock: assessing shock index and its variants as prognostic indicators for in‐hospital mortality

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