Basile C, Casino F, Lopez T
Division of Nephrology, Hospital of Martina Franca, Italy.
Am J Kidney Dis. 1990 Jan;15(1):40-5. doi: 10.1016/s0272-6386(12)80590-7.
Urea Kt/V is an accurate tool to estimate the adequacy of hemodialysis (HD) therapy; however, the current methods of calculating Kt/V are too complex for routine clinical use and require great care in order to avoid major inaccuracies. As percent reduction in blood urea concentration during dialysis (PRU) is a function of dialyzer urea clearance, length of dialysis, and urea distribution volume of the patient, it might correlate with Kt/V. Thus, analyzing retrospectively data of 78 studies, we found that the following linear regression equation existed between Kt/V values calculated by means of direct dialysis quantification (DDQ) and PRU values: Kt/V = 0.023 x PRU - 0.284 (r = 0.92). Furthermore, a good correlation existed between Kt/V values measured both by means of DDQ and of the classical algorithm (CA) of the urea kinetic model (UKM) (r = 0.98). Then, a prospective study was started in which 145 Kt/V values calculated by means of the above equation were correlated with the corresponding ones computed by means of a modified algorithm (MA) of UKM, perfectly fitting those generated by CA of UKM. Although the relationship was exponential, it was linear in the clinically important range of PRU between 40% and 70%, corresponding to a Kt/V between 0.64 and 1.33. Furthermore, an excellent correlation (r = 0.96) and no statistically significant difference existed in this range between the two series.(ABSTRACT TRUNCATED AT 250 WORDS)
尿素Kt/V是评估血液透析(HD)治疗充分性的准确工具;然而,目前计算Kt/V的方法对于常规临床应用来说过于复杂,需要格外小心以避免重大误差。由于透析期间血尿素浓度的降低百分比(PRU)是透析器尿素清除率、透析时长以及患者尿素分布容积的函数,它可能与Kt/V相关。因此,通过回顾性分析78项研究的数据,我们发现通过直接透析定量法(DDQ)计算的Kt/V值与PRU值之间存在以下线性回归方程:Kt/V = 0.023×PRU - 0.284(r = 0.92)。此外,通过DDQ测量的Kt/V值与尿素动力学模型(UKM)的经典算法(CA)测量的Kt/V值之间存在良好的相关性(r = 0.98)。然后,开展了一项前瞻性研究,其中通过上述方程计算的145个Kt/V值与通过UKM的改良算法(MA)计算的相应值相关,与UKM的CA生成的值完美拟合。尽管这种关系是指数关系,但在PRU为40%至70%的临床重要范围内呈线性,对应Kt/V在0.64至1.33之间。此外,在这个范围内两个系列之间存在极好的相关性(r = 0.96)且无统计学显著差异。(摘要截断于250字)