Predicting 28-day all-cause mortality in patients admitted to intensive care units with pre-existing chronic heart failure using the stress hyperglycemia ratio: a machine learning-driven retrospective cohort analysis

Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)

Published: Jan. 8, 2025

Chronic heart failure (CHF) poses a significant threat to human health. The stress hyperglycemia ratio (SHR) is novel metric for accurately assessing hyperglycemia, which has been correlated with adverse outcomes in various major diseases. However, it remains unclear whether SHR associated 28-day mortality patients pre-existing CHF who were admitted intensive care units (ICUs). This study retrospectively recruited ICUs both acute critical illness and from the Medical Information Mart Intensive Care (MIMIC) database. Characteristics compared between survival non-survival groups. relationship all-cause was analyzed using restricted cubic splines, receiver operating characteristic (ROC) curves, Kaplan–Meier analysis, Cox proportional hazards regression analysis. importance of potential risk factors assessed Boruta algorithm. Prediction models constructed machine learning algorithms. A total 913 enrolled. increased higher levels (P < 0.001). independently mortality, an unadjusted hazard (HR) 1.45 0.001) adjusted HR 1.43 Subgroup analysis found that none factors, such as demographics, comorbidities, drugs, affected interaction > 0.05). area under ROC (AUC) curve larger than those admission blood glucose HbA1c; cut-off 0.57. Patients had significantly lower probability identified one key by predictive performance verified through four algorithms, neural network algorithm being best (AUC 0.801). For CHF, independent predictor mortality. Its prognostic surpasses HbA1c glucose, based on provide clinicians effective tool make therapeutic decisions.

Language: Английский

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Stress hyperglycemia in acute pancreatitis: From mechanisms to prognostic implications

Life Sciences, Journal Year: 2025, Volume and Issue: 365, P. 123469 - 123469

Published: Feb. 15, 2025

Language: Английский

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Phloretin and Enalapril co-administration ameliorates hyperglycemia mediated exacerbation of myocardial injury in rats

European Journal of Pharmacology, Journal Year: 2025, Volume and Issue: unknown, P. 177394 - 177394

Published: Feb. 1, 2025

Language: Английский

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Association between hemoglobin glycation index and adverse outcomes in critically ill patients with myocardial infarction: a retrospective cohort study

Nutrition Metabolism and Cardiovascular Diseases, Journal Year: 2025, Volume and Issue: unknown, P. 103973 - 103973

Published: March 1, 2025

Highlights•The association between HGI and adverse outcomes in critically ill MI patients remains unclear.•Low is significantly associated with higher mortality.•There an inverse J-shaped relationship mortality risk.•HGI may serve as a clinical marker for assessing patients.AbstractBackground aimThe prognosis of myocardial infarction (MI) metabolic disturbances. The hemoglobin glycation index (HGI), glycemic variability, has been linked to populations. This study aimed explore the patients.Methods resultsThis retrospective cohort used data from MIMIC-IV database, focusing on patients. Linear regression was applied model glucose HbA1c, which values were calculated. Patients grouped into quartiles based HGI. Primary included 30-day, 180-day, 365-day all-cause mortality. Kaplan-Meier survival analysis, logistic regression, Cox proportional hazards models, restricted cubic spline (RCS) analysis employed assess outcomes. A total 2,480 included. Lower increased risks 365-day, hospital RCS revealed risk.ConclusionsLow mortality, highlighting its potential prognostic early risk stratification management optimization.Graphical abstract

Language: Английский

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Prognostic Value of the RISK-PCI Score in Patients with Non-ST-Segment Elevation Acute Myocardial Infarction

Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(8), P. 2727 - 2727

Published: April 16, 2025

Background: Non-ST-segment elevation acute myocardial infarction (NSTEMI) represents a heterogeneous patient population with varying risks of adverse outcomes. The RISK-PCI score, initially developed for ST-segment (STEMI) patients, was evaluated its prognostic value in NSTEMI patients undergoing percutaneous coronary intervention (PCI). Methods: A retrospective observational study 242 treated PCI at the Clinical Center Serbia from June 2011 to 2016 conducted. incorporating clinical, echocardiographic, and angiographic variables, calculated each patient. primary outcome 30-day major cardiovascular events (MACE). Secondary outcomes included individual components MACE. Statistical analyses were performed assess predictive score. Results: MACE occurred 9.9% patients. Independent predictors age > 75 years, glucose ≥ 6.6 mmol/L, creatinine clearance < 60 mL/min, post-procedural TIMI flow 3. score demonstrated good discrimination (AUC = 0.725). Patients stratified into very high-risk group (RISK-PCI 7) had significantly higher (29.4%). Conclusions: effectively stratifies by their risk MACE, identifying subgroup that may benefit closer monitoring tailored interventions. External validation on larger cohorts is recommended confirm these findings.

Language: Английский

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Sugar, surgery, and survival: the impact of HbA1c on coronary artery bypass grafting recovery

International Journal of Surgery Open, Journal Year: 2024, Volume and Issue: 62(6), P. 852 - 853

Published: Oct. 28, 2024

Language: Английский

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