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    • 2. 发明申请
    • DRY WEIGHT PREDICTOR
    • 干重预测
    • WO2012051261A2
    • 2012-04-19
    • PCT/US2011/055916
    • 2011-10-12
    • FRESENIUS MEDICAL CARE HOLDINGS, INC.LEVIN, Nathan, W.ZHU, Fansan
    • LEVIN, Nathan, W.ZHU, Fansan
    • G06F19/10
    • A61B5/0537A61B5/6828G06F19/3481
    • Methods and apparatus for predicting/estimating the dry weight of an individual, e.g., a patient undergoing dialysis treatment, are provided. The techniques employ a bioimpedance measurement (303) on the individual's calf (101) to obtain information regarding the extracellular fluid volume of the calf. Using a measurement of the calf's circumference (309), a resistivity value is calculated, normalized by the individual's body mass index (BMI), and then offset by a reference value to obtain a new variable, ΔnRho, which is shown, by comparison with a "gold standard" (FIGS. 5-9), to be highly effective in predicting/estimating dry weight (FIGS. 10-13 and 15-16). The techniques are easy to use and provide accurate dry weight predictions/estimations without substantially adding to the complexity or cost of dialysis procedures. The techniques can also be used for individuals who are not renal patients, e.g., patients suffering from other diseases in which fluid overload can occur, athletes, fitness enthusiasts, and the like.
    • 提供了用于预测/估计个体(例如正在进行透析治疗的患者)的干重的方法和设备。 该技术在个体的小腿(101)上采用生物阻抗测量(303)来获得关于小腿的细胞外液体积的信息。 使用小腿周长的测量(309),计算电阻率值,通过个体的身体质量指数(BMI)归一化,然后偏移参考值以获得新变量ΔnRho,通过与 “金标准” (图5-9)在预测/估计干重时非常有效(图10-13和15-16)。 这些技术易于使用,并提供准确的干重预测/估算,而不会增加透析程序的复杂性或成本。 该技术还可以用于不是肾病人的个体,例如患有可能发生体液过量的其他疾病的患者,运动员,健身爱好者等等。
    • 10. 发明申请
    • METHOD OF IDENTIFYING WHEN A PATIENT UNDERGOING HEMODIALYSIS IS AT INCREASED RISK OF DEATH
    • 当患者感染HEMODIALYSIS时死亡风险增加时,鉴定方法
    • WO2012075222A2
    • 2012-06-07
    • PCT/US2011/062774
    • 2011-12-01
    • FRESENIUS MEDICAL CARE HOLDINGS, INC.KOTANKO, PeterTHIJSSEN, StephanUSVYAT, LenLEVIN, Nathan, W.
    • KOTANKO, PeterTHIJSSEN, StephanUSVYAT, LenLEVIN, Nathan, W.
    • G01N33/53
    • G01N33/5091G01N33/6893G01N2800/347G01N2800/56G06F19/00Y10T436/147777Y10T436/166666
    • The invention is directed to a method of identifying a patient undergoing periodic hemodialysis treatments at increased risk for death that includes determining at least one of the patient's clinical or biochemical parameters, consisting of serum bicarbonate concentration level, serum potassium concentration level, serum calcium concentration level, hemoglobin concentration level, serum phosphorus concentration level, neutrophil to lymphocyte ratio, equilibrated normalized protein catabolic rate (enPCR), equilibrated fractional clearance of total body water by dialysis and residual kidney function (eKdrt/V), EPO resistance index, transferrin saturation index, serum ferritin concentration level, serum creatinine concentration level, platelet count, Aspartat-Aminotransferase level, and Alanin- Aminotransferase level at periodic hemodialysis treatments, and identifying a patient as having an increased risk for death if the patient has a significant change in the rate of change of at least one of the patient's clinical or biochemical parameters. The invention is also directed to a method of identifying an increased mortality risk factor for a patient undergoing periodic hemodialysis treatment. The method includes analyzing data of deceased patients that were previously undergoing periodic hemodialysis treatments by performing a longitudinal analysis backwards in time of changes in a clinical or biochemical parameter the patients, and identifying a significant change in the rate of decline or the rate of increase in a clinical or biochemical parameter before death of the patients.
    • 本发明涉及一种识别接受定期血液透析治疗的患者的方法,所述患者具有增加的死亡风险,其包括确定患者的临床或生物化学参数中的至少一个,其包括血清碳酸氢盐浓度水平,血清钾浓度水平,血清钙浓度水平 ,血红蛋白浓度水平,血清磷浓度水平,嗜中性粒细胞与淋巴细胞比值,平衡标准化蛋白分解代谢率(enPCR),通过透析和残留肾功能平衡的全身水分数(eKdrt / V),EPO抗性指数,转铁蛋白饱和指数 ,血清铁蛋白浓度水平,血清肌酸酐浓度水平,血小板计数,Aspartat-氨基转移酶水平和Alanin-氨基转移酶水平的定期血液透析治疗,并确定患者具有增加的死亡风险,如果患者的比率有显着变化 的变化至少 患者的临床或生物化学参数之一。 本发明还涉及一种识别进行定期血液透析治疗的患者的死亡危险因素增加的方法。 该方法包括分析先前正在进行定期血液透析治疗的死亡患者的数据,通过在患者的临床或生物化学参数变化的时间内向后进行纵向分析,并确定患者的下降率或增加率的显着变化 患者死亡前的临床或生物化学参数。