Division of Hospital Medicine, Virginia Commonwealth University School of Medicine, 1101 East Marshall Street, 1st Floor, Suite 1-010, Richmond, VA, 23298, USA.
Clin Res Cardiol. 2020 Sep;109(9):1148-1154. doi: 10.1007/s00392-020-01606-z. Epub 2020 Feb 5.
While estimated plasma volume (ePV) has been studied in some diseases, such as heart failure, the relationship between ePV and all-cause or cause-specific mortality remains unexplored. Therefore, we investigated the association between ePV and all-cause, cardiovascular (CV), and cancer-related mortality among adults in the US.
We used the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2014 and included participants older than 18 years. Mortality data were obtained from the National Death Index and matched to the NHANES participants. ePV was derived using Strauss formula. Cox proportional hazard models were fit to estimate hazard ratios for all-cause and cause-specific mortality without and with adjustment for potential confounders.
Of the 42,705 participants, 5194 died (1121 CV deaths) during mean follow-up of 8.0 (range 0-16.7) years. Mean ± SD age and ePV of the participants were 47.2 ± 19.4 years and 4.2 ± 0.84, respectively. In unadjusted models, 1 unit increase in ePV was associated with 29%, 32%, and 16% increased risk in all-cause (HR 1.29; 95% CI 1.24, 1.35), CV (HR 1.32; 95% CI 1.22, 1.43), and cancer-related (HR 1.16; 95% CI 1.05, 1.27) mortality. Risk remained high in adjusted models (all-cause HR 1.24; 95% CI 1.18, 1.30; CV HR 1.22; 95% CI 1.11, 1.34; cancer-specific HR 1.24; 95% CI 1.10, 1.39). When comparing the highest and lowest ePV quartiles, similar results were noted (adjusted all-cause HR 1.64; 95% CI 1.45, 1.86; CV HR 1.52; 95% CI 1.19, 1.93; cancer HR 1.85; 95% CI 1.38, 2.49).
An increase in ePV was associated with increased all-cause and cause-specific mortality. Further studies are needed to explore the mechanism of this relationship and translation into a better outcome.
虽然已有研究探讨了估计血浆容量(ePV)在某些疾病中的情况,如心力衰竭,但 ePV 与全因或特定原因死亡率之间的关系仍未得到探索。因此,我们调查了美国成年人中 ePV 与全因、心血管(CV)和癌症相关死亡率之间的关系。
我们使用了 1999 年至 2014 年的国家健康和营养检查调查(NHANES),并纳入了年龄大于 18 岁的参与者。通过国家死亡索引获得死亡率数据,并与 NHANES 参与者相匹配。使用施特劳斯公式得出 ePV。使用 Cox 比例风险模型估计无调整和调整潜在混杂因素后的全因和特定原因死亡率的风险比。
在平均 8.0(范围 0-16.7)年的随访中,42705 名参与者中有 5194 人死亡(1121 例 CV 死亡)。参与者的平均年龄和 ePV 分别为 47.2±19.4 岁和 4.2±0.84。在未调整模型中,ePV 增加 1 个单位,全因死亡率(HR 1.29;95%CI 1.24,1.35)、CV 死亡率(HR 1.32;95%CI 1.22,1.43)和癌症相关死亡率(HR 1.16;95%CI 1.05,1.27)分别增加 29%、32%和 16%。在调整后的模型中,风险仍然较高(全因 HR 1.24;95%CI 1.18,1.30;CV HR 1.22;95%CI 1.11,1.34;癌症特异性 HR 1.24;95%CI 1.10,1.39)。当比较最高和最低 ePV 四分位数时,也观察到类似的结果(调整后的全因 HR 1.64;95%CI 1.45,1.86;CV HR 1.52;95%CI 1.19,1.93;癌症 HR 1.85;95%CI 1.38,2.49)。
ePV 的增加与全因和特定原因死亡率的增加相关。需要进一步的研究来探讨这种关系的机制,并将其转化为更好的结果。