Prognostic predictors in pericardiectomy for chronic constrictive pericarditis.

Objective: Prognosis after pericardiectomy remains to be clearly elucidated, especially in Asian countries, where the causes of constrictive pericarditis differ from those in Western countries. We aimed to investigate the preoperative prognostic factors and clinical outcomes after pericardiectomy in patients with chronic constrictive pericarditis.

Methods: Preoperative clinical and imaging characteristics were evaluated in 85 consecutive patients with chronic constrictive pericarditis without other valvular or ischemic heart diseases who underwent pericardiectomy. Causes were idiopathic in 49 patients (57.6%) and tuberculous in 36 patients (42.4%). All-cause death was observed for a median of 38.5 months.

Results: Of 85 patients, 15 (17.6%) died during follow-up. These 15 patients who died during follow-up had higher aspartate aminotransferase, smaller left ventricular end-systolic dimension index, and higher early diastolic mitral inflow velocity before pericardiectomy than the 70 patients who survived. Multivariate Cox proportional analysis showed that diabetes mellitus (hazard ratio, 4.610; P = .024) and high early diastolic mitral inflow velocity (hazard ratio, 1.050/cm/s; P = .002) before pericardiectomy were independent predictors of mortality after pericardiectomy. The preoperative cutoff value for early diastolic mitral inflow velocity in predicting mortality after pericardiectomy was 71 cm/s (sensitivity of 84.6% and specificity of 52.2%), and there was a significant difference in survival between groups divided by this cutoff value of early diastolic mitral inflow velocity (P = .029).

Conclusions: Preoperative high early diastolic mitral inflow velocity and diabetes mellitus were predictors of poor prognosis after pericardiectomy in patients with chronic constrictive pericarditis. These results suggest that preoperative Doppler echocardiographic evaluation may be valuable not only for diagnosing constrictive pericarditis but also for predicting prognosis after pericardiectomy.