Pulmonary hypertension as an independent predictor of cardiovascular mortality and events in hemodialysis patients
Pulmonary hypertension as an independent predictor of cardiovascular mortality and events in hemodialysis patients
复制标题
肺动脉高压作为血液透析患者心血管死亡率和事件的独立预测因子
DOI:
10.1007/s11255-013-0486-z
复制
发表时间:
2014-01-01
影响因子:
2
通讯作者:
Shi, Wei
中科院分区:
文献类型:
--
作者:
Li, Zhilian;Liu, Shuangxin;Shi, Wei
Hemodialysis patients are at an increased risk of cardiovascular (CV) morbidity and mortality. Pulmonary hypertension (PH) has been recently reported as a new entity and unrecognized threat in maintenance hemodialysis (MHD) patients, whether PH predicts CV mortality and events in this population remains unknown. The aim of the present study was to determine the value of PH in predicting CV mortality and events in a prospective cohort of MHD patients.We studied 278 MHD patients (98 with and 180 without PH) in Guangdong General Hospital Blood Purification Center, Guangzhou, China. All patients had been followed up for 2 years, and in survival analysis, we considered time to death or first cardiovascular event. The endpoints were all-cause mortality, CV mortality and CV events. PH was defined as systolic pulmonary artery pressure (SPAP) a parts per thousand yen 35 mmHg as determined by Doppler echocardiographic evaluation.Of the 278 MHD patients, 53 (19.1 %) died as a result of all causes, 28 (10.1 %) died from CV events (52.8 % of causes of death), and 87 (31.3 %) had new-onset CV events. The survival curve showed that all-cause and CV mortality and new-onset CV events were higher in PH group than the non-PH group. In a multivariate Cox proportional hazard model, the adjusted HR for all-cause mortality, CV mortality and CV events was 1.85 [95 % confidence interval (CI) 1.03-3.34], 2.36 (95 % CI 1.05-5.31) and 2.27 (95 % CI 1.44-3.58), respectively.Our study showed that PH was an independent predictor of all-cause mortality and CV mortality and events in MHD patients. We suggest to evaluate SPAP in MHD patients in order to stratify risk of death and CV events.