Severe obesity (BMI ≥35 kg/m2) was associated with higher PCWP relative to biomarkers like NT-proBNP compared to BMI <35 kg/m2 (p<0.01), leading to underestimation of circulatory congestion.
Observational (n=212)
Does severe obesity alter the relationship between non-invasive biomarkers of circulatory congestion and directly-measured hemodynamics in patients with unexplained dyspnea?
Non-invasive hemodynamic markers underestimate circulatory congestion in patients with severe obesity due to uncoupling between cardiac wall stress and intravascular pressures.
p-value: p=<0.01
Abstract Aims Patients with obesity frequently present with dyspnoea. Biomarkers that reflect wall stress are often used to evaluate circulatory congestion and help determine whether dyspnoea is of cardiac causes. Patients with obesity display greater external restraint on the heart, which may alter relationships between intravascular pressures and stress markers. Methods and results Subjects with unexplained dyspnoea ( n = 212) underwent cardiac catheterization with simultaneous echocardiography. Blood sampling was performed in a subset ( n = 58). Relationships between echocardiographic and blood biomarkers of circulatory congestion and directly‐measured haemodynamics were compared between participants with severe obesity [body mass index (BMI) ≥35 kg/m 2 , Group B) and those without (BMI <35 kg/m 2 , Group A). Circulatory congestion was assessed by pulmonary capillary wedge pressure (PCWP), and vascular distending pressure was assessed by left ventricular transmural pressure (LVTMP). As compared to Group A, participants in Group B displayed higher PCWP relative to N‐terminal pro‐B‐type natriuretic peptide, mid‐regional pro‐atrial natriuretic peptide, troponin T, and growth differentiation factor‐15 (all p < 0.01). In contrast, the relationships between LVTMP and the biomarkers were superimposable. Echocardiographic biomarkers revealed the same pattern: PCWP was higher for any E/e′ ratio in Group B compared to Group A, but the relationship between LVTMP and E/e′ was similar. In contrast, levels of C‐terminal pro‐endothelin‐1 and mid‐regional pro‐adrenomedullin were more robustly correlated with PCWP (r = 0.67 and r = 0.62, both p < 0.0001), with no differential relationship based upon BMI. Conclusions Non‐invasive haemodynamic markers underestimate circulatory congestion in patients with obesity, an effect that appears related to uncoupling between cardiac wall stress and intravascular pressures. This may lead to systematic under‐recognition of congestion in patients with obesity.
Obokata et al. (2021) conducted an observational in Unexplained dyspnoea (n=212). Severe obesity (BMI ≥35 kg/m2) vs. BMI <35 kg/m2 was evaluated on Relationship between pulmonary capillary wedge pressure and biomarkers (NT-proBNP, MR-proANP, troponin T, GDF-15) (p=<0.01). Severe obesity (BMI ≥35 kg/m2) was associated with higher PCWP relative to biomarkers like NT-proBNP compared to BMI <35 kg/m2 (p<0.01), leading to underestimation of circulatory congestion.