Blood pressure (BP) variability (BPV) is an independent predictor of cardiovascular (CV) events. The role of BPV in defining risk of cancer therapy-related cardiovascular toxicity (CTR-CVT) is currently unknown. The aims of this study were: (i) to evaluate BPV in a population of patients with Multiple Myeloma, undergoing proteasome inhibitors therapy; (ii) to assess the predictive value of BPV for CTR-CVT; (iii) to analyze clusters of subjects based on BPV. One hundred twenty-four patients underwent a baseline evaluation, including Ambulatory Blood Pressure Monitoring (ABPM), PWV, and Echocardiography. BPV was assessed through ABPM-based standard deviation (SD), weighted standard deviation (wSD), coefficient of variation (CoV), average real variability (ARV), and variability independent of the mean (VIM). Individuals who developed CTR-CVT had a higher baseline BPV. Furthermore, night-time BPV was associated with CTR-CVT, independently of age, smoking, BP, diabetes, dyslipidemia, and kidney function (night-time systolic CoV: adjusted OR 1.09 [1.01–1.21]; night-time systolic VIM: adjusted OR 1.18 [1.01–1.39]). Cut-offs for these BPV parameters were identified as predictors of CTR-CVT occurrence: 10.5 for night-time systolic CoV; 7.8 and 6.4 for systolic and diastolic night-time VIM. Clustering analysis identified subgroups of subjects characterized by the highest BPV, who had a greater prevalence of events, but no differences in other CV risk determinants. Short-term BPV is an independent predictor of CTR-CVT. BPV may enhance the precision of risk stratification in cancer patients, enabling identification of individuals at higher risk who would not be recognized, if traditional prognostic indicators were the sole applied criteria. (Figure presented.)

Blood pressure variability as predictor of cancer therapy-related cardiovascular toxicity in patients with Multiple Myeloma

Fanelli, Elvira;Picca, Giulia;Airale, Lorenzo;Astarita, Anna;Mingrone, Giulia;Catarinella, Cinzia;Votta, Simona;Colomba, Anna;Cesareo, Marco;Leone, Dario;Paladino, Arianna;Bringhen, Sara;Gay, Francesca;Veglio, Franco;Milan, Alberto;Vallelonga, Fabrizio
2025-01-01

Abstract

Blood pressure (BP) variability (BPV) is an independent predictor of cardiovascular (CV) events. The role of BPV in defining risk of cancer therapy-related cardiovascular toxicity (CTR-CVT) is currently unknown. The aims of this study were: (i) to evaluate BPV in a population of patients with Multiple Myeloma, undergoing proteasome inhibitors therapy; (ii) to assess the predictive value of BPV for CTR-CVT; (iii) to analyze clusters of subjects based on BPV. One hundred twenty-four patients underwent a baseline evaluation, including Ambulatory Blood Pressure Monitoring (ABPM), PWV, and Echocardiography. BPV was assessed through ABPM-based standard deviation (SD), weighted standard deviation (wSD), coefficient of variation (CoV), average real variability (ARV), and variability independent of the mean (VIM). Individuals who developed CTR-CVT had a higher baseline BPV. Furthermore, night-time BPV was associated with CTR-CVT, independently of age, smoking, BP, diabetes, dyslipidemia, and kidney function (night-time systolic CoV: adjusted OR 1.09 [1.01–1.21]; night-time systolic VIM: adjusted OR 1.18 [1.01–1.39]). Cut-offs for these BPV parameters were identified as predictors of CTR-CVT occurrence: 10.5 for night-time systolic CoV; 7.8 and 6.4 for systolic and diastolic night-time VIM. Clustering analysis identified subgroups of subjects characterized by the highest BPV, who had a greater prevalence of events, but no differences in other CV risk determinants. Short-term BPV is an independent predictor of CTR-CVT. BPV may enhance the precision of risk stratification in cancer patients, enabling identification of individuals at higher risk who would not be recognized, if traditional prognostic indicators were the sole applied criteria. (Figure presented.)
2025
1
10
BPV; CadioOncology; Cardiovascular toxicity; Risk prediction
Fanelli, Elvira; Picca, Giulia; Airale, Lorenzo; Astarita, Anna; Mingrone, Giulia; Catarinella, Cinzia; Votta, Simona; Colomba, Anna; Cesareo, Marco; ...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2059375
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