AIMC Topic: Cause of Death

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Association of sarcopenia with all-cause and cause-specific mortality in cancer patients: development and validation of a 3-year and 5-year survival prediction model.

BMC cancer May 22, 2025
BACKGROUND: Sarcopenia is a clinicopathological condition characterized by a decrease in muscle strength and muscle mass, playing a crucial role in the prognosis of cancer. Therefore, this study aims to investigate the association between sarcopenia ...
Humans Machine Learning Prognosis Female Risk Factors Risk Assessment Neoplasms Nutrition Surveys Sarcopenia Cause of Death Proportional Hazards Models Aged Adult Survival Rate Male Middle Aged
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Machine learning based association between inflammation indicators (NLR, PLR, NPAR, SII, SIRI, and AISI) and all-cause mortality in arthritis patients with hypertension: NHANES 1999-2018.

Frontiers in public health Apr 4, 2025
BACKGROUND: This study aimed to evaluate the relationship between CBC-derived inflammatory markers (NLR, PLR, NPAR, SII, SIRI, and AISI) and all-cause mortality (ACM) risk in arthritis (AR) patients with hypertensive (HTN) using data from the NHANES.
Biomarkers Cause of Death Prognosis Male Female Arthritis Middle Aged Humans Aged Inflammation Machine Learning Nutrition Surveys Adult Hypertension
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Stress hyperglycemia ratio and machine learning model for prediction of all-cause mortality in patients undergoing cardiac surgery.

Cardiovascular diabetology Feb 15, 2025
BACKGROUND: The stress hyperglycemia ratio (SHR) was developed to reduce the effects of long-term chronic glycemic factors on stress hyperglycemia levels, which was associated with adverse clinical outcomes. This study aims to evaluate the relationsh...
Stress, Physiological Hyperglycemia Treatment Outcome Biomarkers Predictive Value of Tests Retrospective Studies Cause of Death Female Cardiac Surgical Procedures Risk Factors Aged Humans Male Machine Learning Middle Aged Decision Support Techniques Risk Assessment Databases, Factual Blood Glucose Time Factors Hospital Mortality
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The triglyceride-glucose index and its obesity-related derivatives as predictors of all-cause and cardiovascular mortality in hypertensive patients: insights from NHANES data with machine learning analysis.

Cardiovascular diabetology Jan 29, 2025
BACKGROUND: Hypertension (HTN) is a global public health concern and a major risk factor for cardiovascular disease (CVD) and mortality. Insulin resistance (IR) plays a crucial role in HTN-related metabolic dysfunction, but its assessment remains cha...
Nutrition Surveys United States Hypertension Obesity Predictive Value of Tests Cause of Death Waist Circumference Triglycerides Male Middle Aged Risk Assessment Blood Glucose Insulin Resistance Humans Female Machine Learning Risk Factors Biomarkers Aged Prognosis Adult Cross-Sectional Studies
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The association of lifestyle with cardiovascular and all-cause mortality based on machine learning: a prospective study from the NHANES.

BMC public health Jan 24, 2025
BACKGROUND: Lifestyle and cardiovascular mortality and all-cause mortality have been exhaustively explored by traditional methods, but the advantages of machine learning (ML) over traditional methods may lead to different or more precise conclusions....
Humans Machine Learning Prospective Studies Mortality Middle Aged Risk Assessment Female Nutrition Surveys Aged United States Adult Cause of Death Male Life Style Cardiovascular Diseases
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Machine-learning versus traditional methods for prediction of all-cause mortality after transcatheter aortic valve implantation: a systematic review and meta-analysis.

Open heart Jan 21, 2025
BACKGROUND: Accurate mortality prediction following transcatheter aortic valve implantation (TAVI) is essential for mitigating risk, shared decision-making and periprocedural planning. Surgical risk models have demonstrated modest discriminative valu...
Humans Machine Learning Risk Factors Survival Rate Global Health Risk Assessment Aortic Valve Stenosis Cause of Death Transcatheter Aortic Valve Replacement
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Exploring the influence of age on the causes of death in advanced nasopharyngeal carcinoma patients undergoing chemoradiotherapy using machine learning methods.

Scientific reports Jan 13, 2025
The present study analyzed the impact of age on the causes of death (CODs) in patients with nasopharyngeal carcinoma (NPC) undergoing chemoradiotherapy (CRT) using machine learning approaches. A total of 2841 patients (1037 classified as older, ≥ 60 ...
Nasopharyngeal Neoplasms Middle Aged Age Factors Cause of Death Chemoradiotherapy Machine Learning Female Nasopharyngeal Carcinoma Aged Humans Adult Male
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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 Jan 8, 2025
Chronic heart failure (CHF) poses a significant threat to human health. The stress hyperglycemia ratio (SHR) is a novel metric for accurately assessing stress hyperglycemia, which has been correlated with adverse outcomes in various major diseases. H...
Blood Glucose Time Factors Hyperglycemia Chronic Disease Predictive Value of Tests Cause of Death Aged Aged, 80 and over Male Middle Aged Risk Assessment Heart Failure Patient Admission Humans Machine Learning Decision Support Techniques Databases, Factual Biomarkers Prognosis Retrospective Studies Intensive Care Units Female Risk Factors
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Application of machine learning algorithms in an epidemiologic study of mortality.

Annals of epidemiology Jan 3, 2025
PURPOSE: Epidemiologic studies are important in assessing risk factors of mortality. Machine learning (ML) is efficient in analyzing multidimensional data to unravel dependencies between risk factors and health outcomes.
Female Risk Factors Aged Adult Male Middle Aged Humans Machine Learning Algorithms Mortality ROC Curve Nutrition Surveys United States Cause of Death Epidemiologic Studies
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Exploring the prognostic impact of triglyceride-glucose index in critically ill patients with first-ever stroke: insights from traditional methods and machine learning-based mortality prediction.

Cardiovascular diabetology Dec 18, 2024
BACKGROUND: The incidence and mortality of first-ever strokes have risen sharply, especially in the intensive care unit (ICU). Emerging surrogate for insulin resistance, triglyceride-glucose index (TyG), has been linked to stroke prognosis. We aims t...
Cause of Death Retrospective Studies Humans China Stroke Critical Illness Length of Stay Risk Factors Machine Learning Triglycerides Blood Glucose Intensive Care Units Databases, Factual Aged Time Factors Female Biomarkers Male Hospital Mortality Reproducibility of Results Prognosis Middle Aged Predictive Value of Tests Risk Assessment
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