Shock Index, Modified Shock Index, and Age-adjusted Shock Index as Predictors of In-hospital Death in Acute Heart Failure. Sub Analysis of the ARGEN IC

Costa, Yanina Castillo; Cáceres, Leonardo; Mauro, Víctor M.; Enrique, Fairman; Fernández, Alberto; Soricetti, Julieta; Sorasio, Guillermina; Lescano, Adrián; ́Imperio, Heraldo D

doi:10.1016/j.cpcardiol.2022.101309

Cited by 6 publications

(2 citation statements)

References 13 publications

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“…Laaksonen et al [22] showed that it could be used to predict 30-day mortality by dividing the ASI value by the GCS in seriously injured patients in the pre-hospital setting. ASI and SI are found to be valuable in predicting mortality in acute heart failure [23]. The ASI value is calculated to be high due to the decrease in physiological reserve, metabolic and hormonal response with advanced age, and the decrease in the body's response to trauma [4,6].…”

Section: Discussionmentioning

confidence: 99%

Correlation Between Age Shock Index and Perfusion Index with Emergency Severity Index and its Predictive Value on In-hospital Mortality

Koçkan,

Doğan,

Basa Kalafat

et al. 2023

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Objective: Perfusion index (PI), shock index (SI), modified SI (MSI), and age SI (ASI) are valuable markers used to predict the clinical course and mortality of patients in various intensive care units and emergency departments (ED). We investigated the relationship between these markers and emergency severity index (ESI) and their value in predicting in-hospital mortality. Materials and Methods:In this prospective, cross-sectional, single-centered study, the vital values of the patients and the PI were measured and categorized according to ESI. The correlation between SI, MSI, ASIs, and PI among the ESI categories and their predictive values for in-hospital mortality were calculated. Results:We established statistically significantly lower PI values and significantly higher values in the ASI in the group with in-hospital mortality compared to survivors (p=0.001, <0.001, respectively). The area under curve score for in-hospital mortality of the PI of 0.723 and ASI are 0.723 and 0.807, respectively. The specificity of PI and the sensitivity of ASI are 91.62% and 91.67%, respectively, and negative predictive values of those are 98.66% and 99.67%, respectively. Conclusion:Adding PI and ASI to existing triage scores, such as ESI, may improve triage specificity in unselected patients who are admitted to the ED.

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Section: Discussionmentioning

confidence: 99%

Correlation Between Age Shock Index and Perfusion Index with Emergency Severity Index and its Predictive Value on In-hospital Mortality

Koçkan,

Doğan,

Basa Kalafat

et al. 2023

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“…Using RCS curve analysis, we determined threshold characteristics of CI for predicting 7-day, 14-day, 21-day, and 28-day mortality following ICU admission. The area under the receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of heart rate (HR) levels for 28-day mortality upon ICU admission, with the optimal threshold determined using the Youden index [ 25 , 26 ].…”

Section: Methodsmentioning

confidence: 99%

Cardiac index and heart rate as prognostic indicators for mortality in septic shock: A retrospective cohort study from the MIMIC-IV database

Ngan,

Zeng,

Lia

et al. 2024

Heliyon

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Association between baseline hemodynamic indices, cardiotoxicity risk, and survival in women with breast cancer

Decorads,

Lambert,

Roch

et al. 2024

Journal of Nuclear Cardiology

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Shock Index, Modified Shock Index, and Age-adjusted Shock Index as Predictors of In-hospital Death in Acute Heart Failure. Sub Analysis of the ARGEN IC

Cited by 6 publications

References 13 publications

Correlation Between Age Shock Index and Perfusion Index with Emergency Severity Index and its Predictive Value on In-hospital Mortality

Correlation Between Age Shock Index and Perfusion Index with Emergency Severity Index and its Predictive Value on In-hospital Mortality

Cardiac index and heart rate as prognostic indicators for mortality in septic shock: A retrospective cohort study from the MIMIC-IV database

Association between baseline hemodynamic indices, cardiotoxicity risk, and survival in women with breast cancer

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