Patient-specific multifactorial mortality risk assessment using classification and regression tree analysis in the context of ambulatory blood pressure monitoring.

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Tác giả: Merve Akyol, Bahar Tekin Çetin, Enes Cevik, Paola Ciceri, Sidar Copur, Mario Cozzolino, Mert Emre Erden, Mustafa Güldan, Nuri Baris Hasbal, Zeynepgul Kalay, Mehmet Kanbay, Onur Memetoglu, Lasin Özbek, Ozgun Ekin Sahin, Dimitrie Siriopol, Ianis Siriopol, Cem Tanriover, Duygu Ucku

Ngôn ngữ: eng

Ký hiệu phân loại: 625.794 Traffic control equipment

Thông tin xuất bản: Italy : Journal of nephrology , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 688563

 BACKGROUND: Ambulatory blood pressure monitoring is essential for understanding blood pressure patterns beyond clinical visits, aiding in risk assessment, treatment evaluation, and managing hypertension. This retrospective cohort study aimed to identify risk factors for all-cause mortality and major cardiovascular events in patients who underwent ambulatory blood pressure monitoring. METHODOLOGY: Eligible participants aged 18 or older, with an estimated glomerular filtration rate (eGFR) >
  60 ml/min/1.73 m RESULTS: The study included 1291 patients, primarily male (51.8%) with a mean age of 61.1 ± 15.2 years. During a mean follow-up of 46.9 months, 76 (5.9%) patients died of any cause, and 195 (15.1%) had a cardiovascular event. The highest survival rates were observed in patients with a diastolic blood pressure (BP) dipping percentage between - 2% and 29%, nighttime systolic BP variability below 32 mmHg, and age below 72. Conversely, smokers with a diastolic BP dipping percentage below - 10% showed the lowest survival rates. The best cardiovascular outcomes were observed in patients with diastolic BP dipping above - 11%, nighttime mean systolic BP <
  144 mmHg, no statin use, normotensive status, and daytime mean heart rate ≥ 60 bpm. Conversely, the worst outcomes were seen in patients with diastolic BP dipping below - 11% and a morning surge ≥ 14 mmHg. In all-cause mortality and cardiovascular event analysis, the combined model demonstrated excellent calibration and predictive power, like the classification and regression tree model and traditional analysis. CONCLUSION: These findings highlight the potential of a combined model for assessing mortality and cardiovascular event risk in patients who have undergone ambulatory blood pressure monitoring.
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