Clinical prediction study on the risk of atrial fibrillation in hypertensive patients based on metabolism, inflammation, and gender differences DOI Creative Commons
Kangming Li, Yanan Hu, Jing Wang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 12, 2025

This study aimed to explore the risk factors for atrial fibrillation (AF) within one year after discharge in hypertensive patients and construct a corresponding predictive model. single-center, retrospective included 566 admitted with hypertension. Patients were divided into two groups: those who developed AF did not. Variables selected multivariate regression analysis using univariate variance inflation factor (VIF) analysis. Subgroup was performed by gender value of variables, nomogram constructed. The total sample randomly training set validation (7:3 ratio). discrimination calibration model evaluated receiver operating characteristic (ROC) curves. had significantly higher levels white blood cells (WBC), neutrophils (NEUT), lymphocytes (LYMPH), creatinine (Scr), fasting glucose (FBG), triglycerides (TG), lipoprotein(a) [Lp(a)], glycated hemoglobin (HbA1c), neutrophil-to-lymphocyte ratio (NLR), triglyceride-glucose (TyG) index compared not (P < 0.05). Males, smokers, diabetic more prevalent group Logistic showed that male gender, Lp(a), HbA1c, NLR, TyG independent predictors patients. constructed an area under ROC curve (AUC) 0.793 0.740 set. curves indicated good fit = 0.726 set; P 0.489 set). Male, are has high accuracy. suggests individualized management strategies should be employed based on these clinical practice.

Language: Английский

Clinical prediction study on the risk of atrial fibrillation in hypertensive patients based on metabolism, inflammation, and gender differences DOI Creative Commons
Kangming Li, Yanan Hu, Jing Wang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 12, 2025

This study aimed to explore the risk factors for atrial fibrillation (AF) within one year after discharge in hypertensive patients and construct a corresponding predictive model. single-center, retrospective included 566 admitted with hypertension. Patients were divided into two groups: those who developed AF did not. Variables selected multivariate regression analysis using univariate variance inflation factor (VIF) analysis. Subgroup was performed by gender value of variables, nomogram constructed. The total sample randomly training set validation (7:3 ratio). discrimination calibration model evaluated receiver operating characteristic (ROC) curves. had significantly higher levels white blood cells (WBC), neutrophils (NEUT), lymphocytes (LYMPH), creatinine (Scr), fasting glucose (FBG), triglycerides (TG), lipoprotein(a) [Lp(a)], glycated hemoglobin (HbA1c), neutrophil-to-lymphocyte ratio (NLR), triglyceride-glucose (TyG) index compared not (P < 0.05). Males, smokers, diabetic more prevalent group Logistic showed that male gender, Lp(a), HbA1c, NLR, TyG independent predictors patients. constructed an area under ROC curve (AUC) 0.793 0.740 set. curves indicated good fit = 0.726 set; P 0.489 set). Male, are has high accuracy. suggests individualized management strategies should be employed based on these clinical practice.

Language: Английский

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