Salgado Fabiana Xavier Cartaxo, Vianna Lucy Gomes, Giavoni Adriana, Melo Gislane Ferreira de, Karnikowski Margô Gomes de Oliveira
Universidade Católica de Brasília - UnB, Brasília, DF.
Rev Assoc Med Bras (1992). 2010 Mar-Apr;56(2):145-50. doi: 10.1590/s0104-42302010000200010.
This study aimed to investigate the relationship between serum albumin levels, drugs used, length of hospitalization and number of diseases with the prognosis of hospitalized elderly.
A descriptive cross-sectional and retrospective study was carried out using a review of medical charts. Variables collected were disease motivating admission, albumin, drugs used and their affinity for albumin and length of stay in an elderly population of a Brazilian public hospital. We used multiple regression to assess whether age, length of stay, medication with or without affinity to albumin and number of drugs motivating admission were causes of death. The relation between dependent and independent variables was analyzed by two-way ANOVA.
The sample consisted of 277 elderly, 151 with hypoalbuminemia and those using an average of 6.6 +/- 3.80 different prescription drugs most of which had affinity for albumin (4.96 +/- 2.64). Results showed that the number of drugs with affinity for albumin and hospital stay were predictors of death (r = 0.47, R2 = 0.224), (F(8.170) = 6.13; p=0.001). The relation between dependent and independent variables resulted in the mathematical equation: (death= 0.545 - 0.374 (albumin) - 0.195 (days of hospitalization) + 0.175 (number of drugs with affinity for albumin)).
The mathematical equation obtained by this study demonstrated that albumin and days of hospitalization were inversely correlated with death and directly correlated with the number of drugs bound to albumin.
本研究旨在探讨血清白蛋白水平、所用药物、住院时间和疾病数量与老年住院患者预后之间的关系。
采用回顾病历的方式进行描述性横断面和回顾性研究。收集的变量包括促使入院的疾病、白蛋白、所用药物及其与白蛋白的亲和力以及巴西一家公立医院老年人群的住院时间。我们使用多元回归来评估年龄、住院时间、与白蛋白有或无亲和力的药物以及促使入院的药物数量是否为死亡原因。通过双向方差分析分析自变量和因变量之间的关系。
样本包括277名老年人,其中151人患有低白蛋白血症,平均使用6.6±3.80种不同的处方药,其中大多数与白蛋白有亲和力(4.96±2.64)。结果表明,与白蛋白有亲和力的药物数量和住院时间是死亡的预测因素(r = 0.47,R2 = 0.224),(F(8.170) = 6.13;p = 0.001)。自变量和因变量之间的关系得出数学方程:(死亡 = 0.545 - 0.374(白蛋白) - 0.195(住院天数) + 0.175(与白蛋白有亲和力的药物数量))。
本研究得出的数学方程表明白蛋白和住院天数与死亡呈负相关,与与白蛋白结合的药物数量呈正相关。