Shock Index (SI) dan Modified Shock Index (MSI) sebagai Prediktor Outcome pada Pasien Gawat Darurat: Systematic Review

Pomalango, Zulkifli B.

doi:10.37311/jnj.v2i2.8463

Cited by 3 publications

(3 citation statements)

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“…The Shock Index (SI) and Modified Shock Index (MSI) are new score predictors that have emerged as simpler and easier tools for predicting mortality in ACS [ 8 ]. SI and MSI are now used in the emergency settings, including ACS patients [ 9 – 11 ]. In a study comparing MSI with SI, it was found that MSI was more accurate than SI for predicting mortality and major cardiovascular events in patients with NSTEMI who received percutaneous coronary intervention (PCI) [ 12 ].…”

Section: Introductionmentioning

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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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: Introductionmentioning

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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“…8 SI and MSI are now used to estimate mortality in the population of the emergency department, including ACS patients. [9][10][11] In a study comparing MSI with SI, it was determined that MSI was more accurate than SI for predicting mortality and major cardiovascular events in patients with NSTEMI who received percutaneous coronary intervention (PCI). 12 The SIC score is calculated using the following formula: (SI×100)-estimated clearance ratio (CCr).…”

Section: Introductionmentioning

confidence: 99%

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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“…Shock index (SI) is mark which obtained from the calculation of heart rate (HR) shared with pressure systolic blood pressure (SBP) used to evaluate the hemodynamic stability of acute patients . SI can used for status monitoring dynamics patient so that can evaluate results clinical And predict patient mortality bad emergency, so that can help in management on right time while the patient is in the ER (Pomalango, 2016) . Research conducted by Torobi (2016) explains that S1 > 0.9 will cause death at <24 hours and 48 hours (Torabi, Moeinaddini, et al, 2016) .…”

Section: Introductionmentioning

confidence: 99%

How Shock Index Helps the Assessment of Hypovolemic Shock : A Scoping Review

Said,

Kok Mesa,

Watunglawar

et al. 2023

jika

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Shock is a life-threatening condition that can result in death. The need for fast and accurate treatment to identify the severity of shock patients. One of them is by using the Shock Index (SI). If not treated immediately, there will be a risk of death within 24-48 hours. Studies This made For see shock use Index as Predictor of Outcome for Hypovolemic Shock Patients in the Emergency Room. The method used in this study is the Scoping Review in a manner systematic based on PRISM. Determination say key article search use PICO, And say key Which used is shock index OR hypovolemic shock AND emergency department. The process of searching for articles was carried out in several databases, namely ProQuest, EBSCOhost, and PubMed. Research result 12 articles were obtained that met the inclusion criteria and were synthesized. The articles were then reviewed. The shock index (SI) serves as an assessment tool to identify high-risk patients and assist the medical team in providing appropriate management for patients. IS also serves to provide prognostic information to patients and families

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Shock Index (SI) dan Modified Shock Index (MSI) sebagai Prediktor Outcome pada Pasien Gawat Darurat: Systematic Review

Cited by 3 publications

References 1 publication

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

How Shock Index Helps the Assessment of Hypovolemic Shock : A Scoping Review

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