Body mass index is associated with altered renal hemodynamics in non-obese healthy subjects

Body mass index is associated with altered renal hemodynamics in non-obese healthy subjects
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DOI:
10.1111/j.1523-1755.2004.00351.x
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发表时间:
2004-01-01
影响因子:
19.6
通讯作者:
Navis, G
Navis, G
中科院分区:
医学1区
文献类型:
--
作者:
Bosma, RJ;van der Heide, JJH;Navis, G

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背景体重超重与肾脏风险增加有关。显性肥胖的数据表明肾脏血流动力学改变的作用。体重指数(BMI)是否也与非肥胖受试者的肾功能有关尚不清楚。我们研究了102名健康非肥胖(BMI < 30 kg/m2)受试者[59名男性,43名女性,平均年龄39(18- 69)岁]的BMI与肾血流动力学之间的关系。平均(+/- SD)BMI为24.0 +/- 2.8 kg/m2,平均动脉压(MAP)为93 +/- 11 mm Hg,肾小球滤过率(GFR,碘酞酸清除率)111 +/- 19 mL min/1.73 m(2),有效肾血浆流量(ERPF,马尿酸清除率)458 +/- 108 mL/min/1.73m(2),FF(GFR/ ERPF)0.25 +/- 0.04。单因素分析显示,BMI与ERPF/1.73m2体表面积(BSA)呈负相关(r = 0.46,P < 0.001),与GFR/1.73m2体表面积(BSA)呈负相关(r =-0.24,P = 0.013),与FF呈正相关(r = 0.45,P <0.001),与年龄呈正相关(r = 0.47,P < 0.001)。多因素分析显示,BMI和年龄是ERPF/1.73m2 BSA(阴性)和FF(阳性)的独立预测因素,P均< 0.05。年龄是GFR/1.73m2 BSA(阴性)的唯一预测因素。以身高(h)为指标分析肾功能,BMI与ERPF/ h呈负相关(r = 0.274,P = 0.005),与GFR/ h无相关性(r = 0.13,P = 0.899)。在多因素分析中,BMI(阳性)和年龄(阴性)是GFR/ h的独立预测因素(均P < 0.001)。年龄是ERPF/ h的唯一预测因素(阴性)。FF的预测因子(BMI和年龄,均为阳性)根据定义不变。BMI对肾功能的影响并不局限于明显的肥胖,因为在BMI < 30 kg/m2的受试者中,较高的BMI与较高的FF相关,即相对于ERPF较高的GFR。这表明传入/传出平衡改变和肾小球压力升高(即,例如,潜在不利的肾血液动力学特征),当叠加其他因素如高血压或糖尿病时,其可赋予增强的肾易感性。
Background. Weight excess is associated with increased renal risk. Data in overt obesity suggest a role for altered renal hemodynamics. Whether body mass index (BMI) is also relevant to renal function in non- obese subjects is unknown.Methods. We studied the relation between BMI and renal hemodynamics in 102 healthy, non- obese (BMI < 30 kg/ m 2) subjects [59 males, 43 females, mean age 39 (18- 69) years] in a post- hoc analysis of subjects evaluated as prospective kidney donors or as healthy volunteers in renal hemodynamic studies.Results. Mean ( +/- SD) BMI was 24.0 +/- 2.8 kg/ m(2), mean arterial pressure (MAP) 93 +/- 11 mm Hg, glomerular filtration rate (GFR, iothalamate clearance) 111 +/- 19 mL min/1.73m(2), effective renal plasma flow (ERPF, hippuran clearance) 458 +/- 108 mL/min/1.73m(2), FF (GFR/ ERPF) 0.25 +/- 0.04. On univariate analysis, BMI correlated negatively with ERPF/ 1.73m(2) body surface area (BSA) (r = 0.46; P < 0.001), GFR/1.73m(2) BSA (r = -0.24, P = 0.013) and positively with FF (r = 0.45, P < 0.001), and age (r = 0.47, P < 0.001). On multivariate analysis both BMI and age were independent predictors of ERPF/1.73m(2) BSA (negative) and FF (positive, all P < 0.05). Age was the only predictor of GFR/1.73m(2) BSA (negative). Analyzed for renal function indexed for height (h), BMI correlated negatively with ERPF/ h (r = 0.274, P = 0.005), but not with GFR/ h (r = 0.13, P = 0.899). On multivariate analysis both BMI (positive) and age (negative) were independent predictors for GFR/ h (both P < 0.001). Age was the only predictor for ERPF/ h (negative). Predictors for FF (BMI and age, both positive) were by definition unaltered.Conclusion. The impact of BMI on renal function is not limited to overt obesity, as in subjects with BMI < 30 kg/ m(2) a higher BMI is associated with higher FF, that is, a higher GFR relative to ERPF. This suggests an altered afferent/ efferent balance and higher glomerular pressure (i. e., a potentially unfavorable renal hemodynamic profile) that may confer enhanced renal susceptibility when other factors, such as hypertension or diabetes are superimposed.