Thomas Merlin C, Weekes Andrew J, Broadley Olivia J, Cooper Mark E
Baker Heart Research Institute, Melbourne, VIC, Australia.
Med J Aust. 2006 Sep 4;185(5):259-62. doi: 10.5694/j.1326-5377.2006.tb00556.x.
To examine factors influencing the identification of kidney impairment in patients with type 2 diabetes in Australian primary care.
DESIGN, SETTING AND PARTICIPANTS: 348 general practitioner investigators were asked to estimate kidney function and its severity in 10-15 consecutively presenting patients with type 2 diabetes (n = 3893). They were then asked, for each patient, whether they routinely estimated kidney function. No instruction was provided on how kidney function should be estimated or categorised. Data were collected between April and September 2005.
Kidney function estimated by the Cockcroft-Gault equation using clinical and laboratory data provided by the GP; estimates of kidney function made by the GP.
In 24% of the patients with type 2 diabetes, their GP routinely estimated kidney function. However, few of these patients had impaired kidney function or risk factors for kidney disease. There was a good statistical correlation between the estimates made by GPs and the data-derived estimates (R2 = 0.72). GPs identified patients with data-derived estimates of kidney function < 60 mL/min in over 83% of cases, with a specificity of 90%. Impaired kidney function was reported by GPs in 34.4% of men and 36.4% of women. These figures were discordant with function categorisation using both GP estimates and data-derived values, overlapping in half of the patients. Despite GPs' ability to assess creatinine clearance, "raw" (unstandardised) serum creatinine levels inappropriately influenced the perception of impairment of kidney function.
GPs can accurately assess kidney function, without reporting of estimated glomerular filtration rate (eGFR). However, even in patients at increased risk of chronic kidney disease, routine estimates are seldom made. Our findings underline the value of the recent initiative recommending automatic reporting of eGFR in Australia.
研究澳大利亚初级医疗中影响2型糖尿病患者肾功能损害识别的因素。
设计、研究地点与参与者:348名全科医生研究者被要求对10至15名连续就诊的2型糖尿病患者(n = 3893)的肾功能及其严重程度进行评估。随后,针对每位患者,研究者被问及是否会常规评估肾功能。对于如何评估或分类肾功能未给出任何指导。数据收集于2005年4月至9月期间。
使用全科医生提供的临床和实验室数据,通过Cockcroft-Gault方程估算的肾功能;全科医生对肾功能的评估。
在24%的2型糖尿病患者中,其全科医生会常规评估肾功能。然而,这些患者中很少有人存在肾功能损害或肾病风险因素。全科医生的评估与数据得出的评估之间存在良好的统计学相关性(R2 = 0.72)。在超过83%的病例中,全科医生识别出数据得出的肾功能评估<60 mL/分钟的患者,特异性为90%。全科医生报告男性肾功能损害的比例为34.4%,女性为36.4%。这些数字与使用全科医生评估和数据得出的值进行的功能分类不一致,在一半的患者中存在重叠。尽管全科医生有能力评估肌酐清除率,但“原始”(未标准化)血清肌酐水平不适当地影响了对肾功能损害的认知。
全科医生可以准确评估肾功能,而无需报告估算的肾小球滤过率(eGFR)。然而,即使在慢性肾病风险增加的患者中,也很少进行常规评估。我们的研究结果强调了澳大利亚近期建议自动报告eGFR这一举措的价值。