SynthesisPloS one2024
Impact of shock index (SI), modified SI, and age-derivative indices on acute heart failure prognosis; A systematic review and meta-analysis.
Synthesis in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Effects of nursing music intervention on cardiovascular patients transferred in advanced life support ambulances.Scientific reports · 2025Trial
- Pressure-Adjusted Heart Rate by Echocardiography and Mortality in the Cardiac Intensive Care Unit.JACC. Advances · 2026Article
- Sepsis prognosis in the emergency department: assessment of shock indices, SOFA, qSOFA, and lactate.International journal of emergency medicine · 2026Article
- Identification of physiological clusters in acute hypoxemic respiratory failure patients undergoing non-invasive respiratory support using EIT-based t-SNE and spectral clustering.Intensive care medicine experimental · 2026Article
- Shock index, modified shock index, and age-adjusted shock index for the prediction of impaired myocardial work in patients with ST-segment elevation myocardial infarction.Quantitative imaging in medicine and surgery · 2025Article
- Utility of shock index to predict mortality risk in decompensated heart failure.Journal of the colleges of medicine of South Africa · 2025Article
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Authors and funding
9 authors.
Funding
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Abstract
backgroundHeart failure (HF) is still associated with quite considerable mortality rates and usage of simple tools for prognosis is pivotal. We aimed to evaluate the effect of shock index (SI) and its derivatives (age SI (ASI), modified SI (MSI), and age MSI (AMSI)) on acute HF (AHF) clinical outcomes.
methodsPubMed/Medline, Scopus and Web of science databases were screened with no time and language limitations till February 2024. We recruited relevant records assessed SI, ASI, MSI or AMSI with AHF clinical outcomes.
resultsEight records were selected (age: 69.44±15.05 years). Mean SI in those records reported mortality (either in-hospital or long-term death) was 0.67 (95% confidence interval (CI):0.63-0.72)). In-hospital and follow-up mortality rates in seven(n = 12955) and three(n = 5253) enrolled records were 6.18% and 10.14% with mean SI of 0.68(95%CI:0.63-0.73) and 0.72(95%CI:0.62-0.81), respectively. Deceased versus survived patients had higher SI difference (0.30, 95%CI:0.06-0.53, P = 0.012). Increased SI was associated with higher chances of in-hospital death (odds ratio (OR): 1.93, 95%CI:1.30-2.85, P = 0.001).The optimal SI cut-off point was found to be 0.79 (sensitivity: 57.6%, specificity: 62.1%). In-hospital mortality based on ASI was 6.12% (mean ASI: 47.49, 95%CI: 44.73-50.25) and significant difference was found between death and alive subgroups (0.48, 95%CI:0.39-0.57, P<0.001). Also, ASI was found to be independent in-hospital mortality predictor (OR: 2.54, 95%CI:2.04-3.16, P<0.001)). The optimal ASI cut-off point was found to be 49.6 (sensitivity: 66.3%, specificity: 58.6%). In terms of MSI (mean: 0.93, 95%CI:0.88-0.98)), significant difference was found specified by death/survival status (0.34, 95%CI:0.05-0.63, P = 0.021). AMSI data synthesis was not possible due to presence of a single record.
conclusionsSI, ASI, and MSI are practical available tools for AHF prognosis assessment in clinical settings to prioritize high risk patients.
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