高BMI活体肾脏捐献者的长期肾脏结果:叙述性综述

Kalyani Murthy, Hannah Caldwell, M. A. Simpson
{"title":"高BMI活体肾脏捐献者的长期肾脏结果:叙述性综述","authors":"Kalyani Murthy, Hannah Caldwell, M. A. Simpson","doi":"10.2174/1874303X01710010041","DOIUrl":null,"url":null,"abstract":"s excluded (n=200) Articles included: (n=9) Lack of LKD kidney-related outcomes PubMed Search All abstracts reviewed. (n=295) Abstracts selected for full-text reading (n=95)s selected for full-text reading (n=95) Articles excluded: (n=86) 1. Review articles (n=26) 2. No BMI breakdown (n=16) 3. Missing baseline and/or follow-up data (n=16) 4. Follow-up <5 years (n=16) 5. Not in English (n=5) 6. Not LKD specific (n=5) 7. Duplicate data (n=2) 46 The Open Urology & Nephrology Journal, 2017, Volume 10 Murthy et al. [23]. Two multivariate models were tested to evaluate the risk of CKD and the effect of hypertension. In each model, they evaluated the role of BMI on specific outcomes. The eGFR was calculated using the Cystatin-C based formula of Rule. The average BMI at follow-up was 26.65±5.04 kg/m [23]. In the prospective study by Ibrahim et al, hypertension, kidney function, general health status, and quality of life were evaluated in 255 LKDs [24]. GFR was measured by iohexol clearance and estimated by MDRD. LKDs were matched to controls from the National Health and Nutrition Examination Survey 2003-2004 and 2005-2006 [24]. Tavakol et al followed 98 LKDs with matched controls from the National Health and Nutrition Examination Survey 2005-2006 in a prospective study examining kidney-related outcomes [25]. The GFR was calculated using MDRD. They calculated total urine protein and albumin excretion (abnormal when values > 150 and 30 mg/d, respectively). Multivariate logistic regression and linear regression models helped determine the independent association between BMI at donation and kidney-related outcomes [25]. The prospective study of 46 LKDs by Taner et al evaluated the impact of older age, obesity, and hypertension on the compensatory response of the remaining kidney five years post donation [26]. The 11 obese LKDs and 9 hypertensive LKDs were compared to 16 standard LKDs. The mean BMI of obese LKDs was 38.1±2.2 kg/m compared to standard LKDs which 22.6±1.2 kg/m. GFR was measured by I-iothalamate clearance [26]. Kerkeni et al retrospectively evaluated 189 LKDs and assessed both post-operative and long-term consequences of nephrectomy based on BMI [27]. Outcomes for overweight and obese LKDs were compared to those with BMI <25 kg/m. The mean BMI at the time of donation was 26.5±4.8 kg/m, with 33% of LKDs being overweight and 21% obese. Kidney function was assessed by creatinine clearance [27]. The study by Gracida et al evaluated long-term kidney-related outcomes in 628 LKDs. There were 81 LKDs who were obese prior to donation and 16 with hypertension [28]. They compared outcomes with 422 LKDs without risk factors. Mean BMI was 32.8 kg/m in the obese group and 24.7 kg/m in the standard group. The kidney function was measured using creatinine clearance and the method of GFR calculation was not mentioned [28]. They did not report hypertension or proteinuria outcomes at follow-up. 3.1. Higher BMI and Kidney Function (CKD and ESRD) Having shown the data regarding increased risk of chronic kidney disease in the general higher BMI non-donor population, we will review the higher BMI LKD-specific data found in the studies selected for this narrative review. Five studies (range of follow-up, 7-20 years), noted significant decreases in kidney function for higher BMI LKDs. Ibrahim et al evaluated long-term outcomes and risk of ESRD for LKDs over the course of 12.2±9.2 years [24]. The mean GFR was 84±13.8 ml/min per 1.73 m at baseline and 63.7±11.9 ml/min per 1.73 m at follow-up. They noted that 29% of LKDs had BMI >30 kg/m at follow-up. These LKDs were found to carry significantly higher odds of having GFR< 60 ml/min per 1.73 m (OR 1.12, CI 1.02-1.23, p=0.02) compared to lower BMI LKDs [24]. In the study by Nogueira et al (2009), outcomes for 39 African American (AA) LKDs were reported [20]. Predonation eGFR was 102.5±20.3 ml/min per 1.73 m. They found a statistically significant greater absolute (40.1±7.3 vs. 28.3 ±17.1ml/min per 1.73m) and relative decrement (39.8% vs. 26.2%) in GFR at follow-up for those who were morbidly obese compared to those with BMI<35 kg/m. There were no BMI-stratified data available to compare outcomes for the normal, overweight, and obese LKDs within the BMI < 35 kg/m group [20]. Nogueira et al (2010) evaluated 36 obese LKDs (45.7% AA) [18]. The average eGFR was 91±20.3 ml/min per 1.73m at baseline and 63±15.3 ml/min per 1.73m at follow-up. They found a statistically significant overall drop in GFR from baseline to follow-up (29.2%) [21]. It is also important to note that the absolute decrement in GFR was similar for LKDs with BMI≥ 35 kg/m and obese LKDs with BMI< 35 kg/m (31.5±15.6 and 24.7±11.0 mL/min/1.73 m, P=NS). Nogueira et al also compared certain demographic and outcome data for the obese LKDs in this study and the LKD cohort from the study by Ibrahim et al. [24] They noted that higher percentages of the obese LKDs in this study had GFR values <60 mL/min compared to the Ibrahim cohort (47.2% vs. 39.3%). Additionally, AA obese LKDs had a statistically significant greater absolute drop in GFR compared to non-AA LKDs (33.3±9.6 and 22.7±12.7 mL/min/1.73m, respectively, p=0.016) [21]. The study by Locke et al reported long-term data examining outcomes and risk of ESRD for LKDs stratified by BMI ≥ 30 kg/m (n=20,588) and <30 kg/m (n=58,004) [22]. On multivariate analysis, obesity (HR 1.86, CI 1.05-3.30, Kidney Outcomes in High BMI LKD: Narrative Review The Open Urology & Nephrology Journal, 2017, Volume 10 47 p=0.04) and AA race (HR 4.62, CI 3.46-6.16, p<0.001) were the two risk factors that were significantly associated with the development of ESRD. The risk for ESRD post-donation increased 7% for every 1 unit increase in baseline BMI >27 kg/m [22]. In the study by Bello et al, renal outcomes and risk factors for 77 LKDs were evaluated. On multivariate analysis, higher BMI was found to have a statistically significant prevalence ratio for low GFR <60 mL/min at follow-up (PR 1.10, CI 1.05-1.15, p<0.0001) [23]. Four studies found no significant differences in kidney function between obese and non-obese LKDs at follow-up (range, 6-11 years) [25 28]. 3.2. Higher BMI and Blood Pressure The effects of higher BMI on the risk of hypertension in the general population have been reviewed. Hypertension data specific to higher BMI LKDs was available in eight studies in our review. BMI status was found to be associated with the presence of hypertension in six of these studies. Ibrahim et al reported that higher BMI significantly increased the risk of hypertension (OR 1.12, CI 1.04-1.21, p=0.003) [24]. In the two studies by Nogueira et al (2009, 2010), 41% of LKDs were found to be hypertensive at follow-up [20, 21]. In the 2009 study, mean blood pressures at follow-up were 120.8±14.5 mm Hg and 79.7±9.3 mm Hg for systolic and diastolic, respectively. In the 2010 study, mean blood pressures at follow-up were 122.0±13 mm and Hg 77.3±7.4mm Hg for systolic and diastolic, respectively. Nogueira et al (2010) also noted that, although mean blood pressures were similar at follow-up, a larger percentage of obese LKDs in their study had a diagnosis of hypertension than the LKDs from the Ibrahim study (30.6% vs. 24.7%) [21]. At follow-up, Tavakol et al noted that the mean systolic and diastolic blood pressures were higher for obese LKDs and non-obese LKDs who became obese during the study [25]. A greater number of obese LKDs carried a hypertension diagnosis at follow-up. On multivariate analysis, obesity at donation was found to be a risk factor for the development of hypertension during the study (OR 4.02; CI 1.2013.00, p=0.021) [25]. On multivariate analysis, Bello et al found that higher BMI carried a statistically significant prevalence ratio for hypertension at follow-up (PR 1.11, CI 1.04-1.17, p=.0003). At the time of follow-up, 20 LKDs had hypertension, with a mean BMI of 30.41±5.88 kg/m, compared to 57 without hypertension, with a mean BMI of 25.34±3.99 [23]. At baseline, in the study by Locke et al the mean systolic and diastolic blood pressures were higher for obese LKDs (124.1±13.1 mm Hg and 75.6±9.3 mm Hg, respectively) compared to non-obese LKDs (119.9±13.3 mm Hg and 72.9±9.4 mm Hg, respectively) [22]. Three studies either did not report comparison statistics [28] or did not find any differences in blood pressure relating to BMI status at follow-up [26, 27]. 3.3. Higher BMI and Proteinuria Risk of proteinuria has been discussed in the non-donor higher BMI population in the background section. Among the nine studies included in our current review, six studies presented data on proteinuria for higher BMI LKDs. The presence of proteinuria was noted to be significantly associated with higher BMI in three of these studies. Tavakol et al found that the 24-hour urine protein was 80±30 mg/d at baseline and 146 ± 62 mg/d at follow-up. A greater percentage of obese LKDs (44%) had abnormal proteinuria compared to non-obese LKDs (18%) (P=0.03). On multivariate analysis, obesity at donation was a significant predictor of abnormal proteinuria at follow-up (OR 8.9, CI 1.1-70.0, p=0.039) [25]. Nogueira et al (2009) found that 18% of the AA LKDs developed proteinuria at follow-up [20]. In the 2010 study by Nogueira et al, 19% of subjects developed microalbuminuria. They noted that development of microalbuminuria appeared to correlate with greater decrements in GFR [21]. The remaining three studies found no association between BMI and the presence of proteinuria [24, 26, 27]. 48 The Open Urology & Nephrology Journal, 2017, Volume 10 Murthy et al. 4. DISCUSSION In our current narrative review evaluating kidney-related outcomes for higher BMI LKDs, we noted significant heterogeneity in the reporting of data among the nine studies, ranging from the study design, follow-up period, control groups used, method of kidney function estimation, to the reporting of proteinuria and hypertension. The strengths of the included studies ","PeriodicalId":38952,"journal":{"name":"Open Urology and Nephrology Journal","volume":"10 1","pages":"41-51"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Long-Term Kidney Outcomes in High BMI Living Kidney Donors: A Narrative Review\",\"authors\":\"Kalyani Murthy, Hannah Caldwell, M. A. Simpson\",\"doi\":\"10.2174/1874303X01710010041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"s excluded (n=200) Articles included: (n=9) Lack of LKD kidney-related outcomes PubMed Search All abstracts reviewed. (n=295) Abstracts selected for full-text reading (n=95)s selected for full-text reading (n=95) Articles excluded: (n=86) 1. Review articles (n=26) 2. No BMI breakdown (n=16) 3. Missing baseline and/or follow-up data (n=16) 4. Follow-up <5 years (n=16) 5. Not in English (n=5) 6. Not LKD specific (n=5) 7. Duplicate data (n=2) 46 The Open Urology & Nephrology Journal, 2017, Volume 10 Murthy et al. [23]. Two multivariate models were tested to evaluate the risk of CKD and the effect of hypertension. In each model, they evaluated the role of BMI on specific outcomes. The eGFR was calculated using the Cystatin-C based formula of Rule. The average BMI at follow-up was 26.65±5.04 kg/m [23]. In the prospective study by Ibrahim et al, hypertension, kidney function, general health status, and quality of life were evaluated in 255 LKDs [24]. GFR was measured by iohexol clearance and estimated by MDRD. LKDs were matched to controls from the National Health and Nutrition Examination Survey 2003-2004 and 2005-2006 [24]. Tavakol et al followed 98 LKDs with matched controls from the National Health and Nutrition Examination Survey 2005-2006 in a prospective study examining kidney-related outcomes [25]. The GFR was calculated using MDRD. They calculated total urine protein and albumin excretion (abnormal when values > 150 and 30 mg/d, respectively). Multivariate logistic regression and linear regression models helped determine the independent association between BMI at donation and kidney-related outcomes [25]. The prospective study of 46 LKDs by Taner et al evaluated the impact of older age, obesity, and hypertension on the compensatory response of the remaining kidney five years post donation [26]. The 11 obese LKDs and 9 hypertensive LKDs were compared to 16 standard LKDs. The mean BMI of obese LKDs was 38.1±2.2 kg/m compared to standard LKDs which 22.6±1.2 kg/m. GFR was measured by I-iothalamate clearance [26]. Kerkeni et al retrospectively evaluated 189 LKDs and assessed both post-operative and long-term consequences of nephrectomy based on BMI [27]. Outcomes for overweight and obese LKDs were compared to those with BMI <25 kg/m. The mean BMI at the time of donation was 26.5±4.8 kg/m, with 33% of LKDs being overweight and 21% obese. Kidney function was assessed by creatinine clearance [27]. The study by Gracida et al evaluated long-term kidney-related outcomes in 628 LKDs. There were 81 LKDs who were obese prior to donation and 16 with hypertension [28]. They compared outcomes with 422 LKDs without risk factors. Mean BMI was 32.8 kg/m in the obese group and 24.7 kg/m in the standard group. The kidney function was measured using creatinine clearance and the method of GFR calculation was not mentioned [28]. They did not report hypertension or proteinuria outcomes at follow-up. 3.1. Higher BMI and Kidney Function (CKD and ESRD) Having shown the data regarding increased risk of chronic kidney disease in the general higher BMI non-donor population, we will review the higher BMI LKD-specific data found in the studies selected for this narrative review. Five studies (range of follow-up, 7-20 years), noted significant decreases in kidney function for higher BMI LKDs. Ibrahim et al evaluated long-term outcomes and risk of ESRD for LKDs over the course of 12.2±9.2 years [24]. The mean GFR was 84±13.8 ml/min per 1.73 m at baseline and 63.7±11.9 ml/min per 1.73 m at follow-up. They noted that 29% of LKDs had BMI >30 kg/m at follow-up. These LKDs were found to carry significantly higher odds of having GFR< 60 ml/min per 1.73 m (OR 1.12, CI 1.02-1.23, p=0.02) compared to lower BMI LKDs [24]. In the study by Nogueira et al (2009), outcomes for 39 African American (AA) LKDs were reported [20]. Predonation eGFR was 102.5±20.3 ml/min per 1.73 m. They found a statistically significant greater absolute (40.1±7.3 vs. 28.3 ±17.1ml/min per 1.73m) and relative decrement (39.8% vs. 26.2%) in GFR at follow-up for those who were morbidly obese compared to those with BMI<35 kg/m. There were no BMI-stratified data available to compare outcomes for the normal, overweight, and obese LKDs within the BMI < 35 kg/m group [20]. Nogueira et al (2010) evaluated 36 obese LKDs (45.7% AA) [18]. The average eGFR was 91±20.3 ml/min per 1.73m at baseline and 63±15.3 ml/min per 1.73m at follow-up. They found a statistically significant overall drop in GFR from baseline to follow-up (29.2%) [21]. It is also important to note that the absolute decrement in GFR was similar for LKDs with BMI≥ 35 kg/m and obese LKDs with BMI< 35 kg/m (31.5±15.6 and 24.7±11.0 mL/min/1.73 m, P=NS). Nogueira et al also compared certain demographic and outcome data for the obese LKDs in this study and the LKD cohort from the study by Ibrahim et al. [24] They noted that higher percentages of the obese LKDs in this study had GFR values <60 mL/min compared to the Ibrahim cohort (47.2% vs. 39.3%). Additionally, AA obese LKDs had a statistically significant greater absolute drop in GFR compared to non-AA LKDs (33.3±9.6 and 22.7±12.7 mL/min/1.73m, respectively, p=0.016) [21]. The study by Locke et al reported long-term data examining outcomes and risk of ESRD for LKDs stratified by BMI ≥ 30 kg/m (n=20,588) and <30 kg/m (n=58,004) [22]. On multivariate analysis, obesity (HR 1.86, CI 1.05-3.30, Kidney Outcomes in High BMI LKD: Narrative Review The Open Urology & Nephrology Journal, 2017, Volume 10 47 p=0.04) and AA race (HR 4.62, CI 3.46-6.16, p<0.001) were the two risk factors that were significantly associated with the development of ESRD. The risk for ESRD post-donation increased 7% for every 1 unit increase in baseline BMI >27 kg/m [22]. In the study by Bello et al, renal outcomes and risk factors for 77 LKDs were evaluated. On multivariate analysis, higher BMI was found to have a statistically significant prevalence ratio for low GFR <60 mL/min at follow-up (PR 1.10, CI 1.05-1.15, p<0.0001) [23]. Four studies found no significant differences in kidney function between obese and non-obese LKDs at follow-up (range, 6-11 years) [25 28]. 3.2. Higher BMI and Blood Pressure The effects of higher BMI on the risk of hypertension in the general population have been reviewed. Hypertension data specific to higher BMI LKDs was available in eight studies in our review. BMI status was found to be associated with the presence of hypertension in six of these studies. Ibrahim et al reported that higher BMI significantly increased the risk of hypertension (OR 1.12, CI 1.04-1.21, p=0.003) [24]. In the two studies by Nogueira et al (2009, 2010), 41% of LKDs were found to be hypertensive at follow-up [20, 21]. In the 2009 study, mean blood pressures at follow-up were 120.8±14.5 mm Hg and 79.7±9.3 mm Hg for systolic and diastolic, respectively. In the 2010 study, mean blood pressures at follow-up were 122.0±13 mm and Hg 77.3±7.4mm Hg for systolic and diastolic, respectively. Nogueira et al (2010) also noted that, although mean blood pressures were similar at follow-up, a larger percentage of obese LKDs in their study had a diagnosis of hypertension than the LKDs from the Ibrahim study (30.6% vs. 24.7%) [21]. At follow-up, Tavakol et al noted that the mean systolic and diastolic blood pressures were higher for obese LKDs and non-obese LKDs who became obese during the study [25]. A greater number of obese LKDs carried a hypertension diagnosis at follow-up. On multivariate analysis, obesity at donation was found to be a risk factor for the development of hypertension during the study (OR 4.02; CI 1.2013.00, p=0.021) [25]. On multivariate analysis, Bello et al found that higher BMI carried a statistically significant prevalence ratio for hypertension at follow-up (PR 1.11, CI 1.04-1.17, p=.0003). At the time of follow-up, 20 LKDs had hypertension, with a mean BMI of 30.41±5.88 kg/m, compared to 57 without hypertension, with a mean BMI of 25.34±3.99 [23]. At baseline, in the study by Locke et al the mean systolic and diastolic blood pressures were higher for obese LKDs (124.1±13.1 mm Hg and 75.6±9.3 mm Hg, respectively) compared to non-obese LKDs (119.9±13.3 mm Hg and 72.9±9.4 mm Hg, respectively) [22]. Three studies either did not report comparison statistics [28] or did not find any differences in blood pressure relating to BMI status at follow-up [26, 27]. 3.3. Higher BMI and Proteinuria Risk of proteinuria has been discussed in the non-donor higher BMI population in the background section. Among the nine studies included in our current review, six studies presented data on proteinuria for higher BMI LKDs. The presence of proteinuria was noted to be significantly associated with higher BMI in three of these studies. Tavakol et al found that the 24-hour urine protein was 80±30 mg/d at baseline and 146 ± 62 mg/d at follow-up. A greater percentage of obese LKDs (44%) had abnormal proteinuria compared to non-obese LKDs (18%) (P=0.03). On multivariate analysis, obesity at donation was a significant predictor of abnormal proteinuria at follow-up (OR 8.9, CI 1.1-70.0, p=0.039) [25]. Nogueira et al (2009) found that 18% of the AA LKDs developed proteinuria at follow-up [20]. In the 2010 study by Nogueira et al, 19% of subjects developed microalbuminuria. They noted that development of microalbuminuria appeared to correlate with greater decrements in GFR [21]. The remaining three studies found no association between BMI and the presence of proteinuria [24, 26, 27]. 48 The Open Urology & Nephrology Journal, 2017, Volume 10 Murthy et al. 4. DISCUSSION In our current narrative review evaluating kidney-related outcomes for higher BMI LKDs, we noted significant heterogeneity in the reporting of data among the nine studies, ranging from the study design, follow-up period, control groups used, method of kidney function estimation, to the reporting of proteinuria and hypertension. 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摘要

s排除(n=200)包括的文章:(n=9)缺乏LKD肾脏相关结果PubMed Search所有摘要已审查。(n=295)选择全文阅读的摘要(n=95)选择全文读取的摘要(n=95)排除在外的文章:(n=86)1。综述文章(n=26)2。没有BMI细分(n=16)3。缺少基线和/或随访数据(n=16)4。分别随访150和30 mg/d)。多变量逻辑回归和线性回归模型有助于确定捐赠时BMI与肾脏相关结果之间的独立相关性[25]。Taner等人对46个LKD进行的前瞻性研究评估了高龄、肥胖和高血压对捐赠后五年剩余肾脏代偿反应的影响[26]。将11个肥胖LKD和9个高血压LKD与16个标准LKD进行比较。肥胖LKD的平均BMI为38.1±2.2 kg/m,而标准LKD为22.6±1.2 kg/m。GFR是通过I-iothalamate清除率测量的[26]。Kerkeni等人回顾性评估了189例LKD,并根据BMI评估了肾切除术的术后和长期后果[27]。随访时,将超重和肥胖LKD的结果与BMI为30kg/m的结果进行比较。研究发现,与较低的BMI LKD相比,这些LKD具有显著更高的GFR<60 ml/min/1.73m的几率(OR 1.12,CI 1.02-1.23,p=0.02)[24]。在Nogueira等人(2009)的研究中,报告了39例非裔美国人(AA)LKD的结果[20]。他们发现,与BMI27 kg/m的患者相比,病态肥胖患者在随访时的肾小球滤过率绝对值(40.1±7.3 vs.28.3±17.1ml/min/173m)和相对下降值(39.8%vs.26.2%)更大,具有统计学意义[22]。在Bello等人的研究中,对77例LKD的肾脏转归和危险因素进行了评估。在多变量分析中,发现较高的BMI在随访时具有统计学意义的低GFR<60 mL/min的患病率(PR 1.10,CI 1.05-1.15,p<0.0001)[23]。四项研究发现,在随访中(6-11年),肥胖和非肥胖LKD的肾功能没有显著差异[2528]。3.2.较高的BMI和血压已综述了较高的BMI对普通人群高血压风险的影响。在我们的综述中,有八项研究提供了与较高BMI LKD相关的高血压数据。在其中6项研究中,发现BMI状况与高血压的存在有关。Ibrahim等人报告称,较高的BMI显著增加患高血压的风险(OR 1.12,CI 1.04-1.21,p=0.003)[24]。在Nogueira等人(20092010)的两项研究中,随访时发现41%的LKD为高血压[20,21]。在2009年的研究中,随访时收缩压和舒张压的平均血压分别为120.8±14.5毫米汞柱和79.7±9.3毫米汞柱。在2010年的研究中,随访时收缩压和舒张压的平均血压分别为122.0±13毫米汞柱和77.3±7.4毫米汞柱。Nogueira等人(2010)还指出,尽管随访时平均血压相似,但他们研究中肥胖LKD被诊断为高血压的比例高于Ibrahim研究中的LKD(30.6%对24.7%)[21]。在随访中,Tavakol等人注意到,在研究期间肥胖的肥胖LKD和非肥胖LKD的平均收缩压和舒张压较高[25]。更多的肥胖LKD在随访中被诊断为高血压。在多变量分析中,研究期间发现捐赠时的肥胖是高血压发展的危险因素(OR 4.02;CI 1.2013.00,p=0.021)[25]。在多变量分析中,Bello等人发现,较高的BMI在随访时具有统计学意义的高血压患病率(PR 1.11,CI 1.04-1.17,p=0.003)。随访时,20名LKD患有高血压,平均BMI为30.41±5.88 kg/m,而57名LKD无高血压,平均体重指数为25.34±3.99[23]。在基线时,在Locke等人的研究中,肥胖LKD的平均收缩压和舒张压(分别为124.1±13.1 mm Hg和75.6±9.3 mm Hg)高于非肥胖LKD(分别为119.9±13.3 mm Hg和72.9±9.4 mm Hg)[22]。三项研究要么没有报告比较统计数据[28],要么在随访时没有发现与BMI状态相关的血压差异[26,27]。3.3.高BMI和蛋白尿背景部分讨论了非供体高BMI人群中蛋白尿的风险。在我们目前的综述中包括的9项研究中,有6项研究提供了高BMI LKD蛋白尿的数据。在其中三项研究中,蛋白尿的存在与较高的BMI显著相关。Tavakol等人发现,基线时24小时尿蛋白为80±30 mg/d,随访时为146±62 mg/d。与非肥胖LKD(18%)相比,肥胖LKD的异常蛋白尿比例更高(44%)(P=0.03)。 在多变量分析中,捐赠时的肥胖是随访时异常蛋白尿的重要预测因素(OR 8.9,CI 1.1-70.0,p=0.039)[25]。Nogueira等人(2009)发现,18%的AA LKD在随访中出现蛋白尿[20]。在Nogueira等人2010年的研究中,19%的受试者出现微量白蛋白尿。他们指出,微量白蛋白尿的发展似乎与肾小球滤过率的更大下降相关[21]。其余三项研究未发现BMI与蛋白尿的存在之间存在关联[24,26,27]。48《开放性泌尿外科与肾病杂志》,2017年,第10卷,Murthy等人4。讨论在我们目前评估较高BMI LKD的肾脏相关结果的叙述性综述中,我们注意到九项研究的数据报告存在显著的异质性,从研究设计、随访期、使用的对照组、肾功能评估方法到蛋白尿和高血压的报告。纳入研究的优势
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Long-Term Kidney Outcomes in High BMI Living Kidney Donors: A Narrative Review
s excluded (n=200) Articles included: (n=9) Lack of LKD kidney-related outcomes PubMed Search All abstracts reviewed. (n=295) Abstracts selected for full-text reading (n=95)s selected for full-text reading (n=95) Articles excluded: (n=86) 1. Review articles (n=26) 2. No BMI breakdown (n=16) 3. Missing baseline and/or follow-up data (n=16) 4. Follow-up <5 years (n=16) 5. Not in English (n=5) 6. Not LKD specific (n=5) 7. Duplicate data (n=2) 46 The Open Urology & Nephrology Journal, 2017, Volume 10 Murthy et al. [23]. Two multivariate models were tested to evaluate the risk of CKD and the effect of hypertension. In each model, they evaluated the role of BMI on specific outcomes. The eGFR was calculated using the Cystatin-C based formula of Rule. The average BMI at follow-up was 26.65±5.04 kg/m [23]. In the prospective study by Ibrahim et al, hypertension, kidney function, general health status, and quality of life were evaluated in 255 LKDs [24]. GFR was measured by iohexol clearance and estimated by MDRD. LKDs were matched to controls from the National Health and Nutrition Examination Survey 2003-2004 and 2005-2006 [24]. Tavakol et al followed 98 LKDs with matched controls from the National Health and Nutrition Examination Survey 2005-2006 in a prospective study examining kidney-related outcomes [25]. The GFR was calculated using MDRD. They calculated total urine protein and albumin excretion (abnormal when values > 150 and 30 mg/d, respectively). Multivariate logistic regression and linear regression models helped determine the independent association between BMI at donation and kidney-related outcomes [25]. The prospective study of 46 LKDs by Taner et al evaluated the impact of older age, obesity, and hypertension on the compensatory response of the remaining kidney five years post donation [26]. The 11 obese LKDs and 9 hypertensive LKDs were compared to 16 standard LKDs. The mean BMI of obese LKDs was 38.1±2.2 kg/m compared to standard LKDs which 22.6±1.2 kg/m. GFR was measured by I-iothalamate clearance [26]. Kerkeni et al retrospectively evaluated 189 LKDs and assessed both post-operative and long-term consequences of nephrectomy based on BMI [27]. Outcomes for overweight and obese LKDs were compared to those with BMI <25 kg/m. The mean BMI at the time of donation was 26.5±4.8 kg/m, with 33% of LKDs being overweight and 21% obese. Kidney function was assessed by creatinine clearance [27]. The study by Gracida et al evaluated long-term kidney-related outcomes in 628 LKDs. There were 81 LKDs who were obese prior to donation and 16 with hypertension [28]. They compared outcomes with 422 LKDs without risk factors. Mean BMI was 32.8 kg/m in the obese group and 24.7 kg/m in the standard group. The kidney function was measured using creatinine clearance and the method of GFR calculation was not mentioned [28]. They did not report hypertension or proteinuria outcomes at follow-up. 3.1. Higher BMI and Kidney Function (CKD and ESRD) Having shown the data regarding increased risk of chronic kidney disease in the general higher BMI non-donor population, we will review the higher BMI LKD-specific data found in the studies selected for this narrative review. Five studies (range of follow-up, 7-20 years), noted significant decreases in kidney function for higher BMI LKDs. Ibrahim et al evaluated long-term outcomes and risk of ESRD for LKDs over the course of 12.2±9.2 years [24]. The mean GFR was 84±13.8 ml/min per 1.73 m at baseline and 63.7±11.9 ml/min per 1.73 m at follow-up. They noted that 29% of LKDs had BMI >30 kg/m at follow-up. These LKDs were found to carry significantly higher odds of having GFR< 60 ml/min per 1.73 m (OR 1.12, CI 1.02-1.23, p=0.02) compared to lower BMI LKDs [24]. In the study by Nogueira et al (2009), outcomes for 39 African American (AA) LKDs were reported [20]. Predonation eGFR was 102.5±20.3 ml/min per 1.73 m. They found a statistically significant greater absolute (40.1±7.3 vs. 28.3 ±17.1ml/min per 1.73m) and relative decrement (39.8% vs. 26.2%) in GFR at follow-up for those who were morbidly obese compared to those with BMI<35 kg/m. There were no BMI-stratified data available to compare outcomes for the normal, overweight, and obese LKDs within the BMI < 35 kg/m group [20]. Nogueira et al (2010) evaluated 36 obese LKDs (45.7% AA) [18]. The average eGFR was 91±20.3 ml/min per 1.73m at baseline and 63±15.3 ml/min per 1.73m at follow-up. They found a statistically significant overall drop in GFR from baseline to follow-up (29.2%) [21]. It is also important to note that the absolute decrement in GFR was similar for LKDs with BMI≥ 35 kg/m and obese LKDs with BMI< 35 kg/m (31.5±15.6 and 24.7±11.0 mL/min/1.73 m, P=NS). Nogueira et al also compared certain demographic and outcome data for the obese LKDs in this study and the LKD cohort from the study by Ibrahim et al. [24] They noted that higher percentages of the obese LKDs in this study had GFR values <60 mL/min compared to the Ibrahim cohort (47.2% vs. 39.3%). Additionally, AA obese LKDs had a statistically significant greater absolute drop in GFR compared to non-AA LKDs (33.3±9.6 and 22.7±12.7 mL/min/1.73m, respectively, p=0.016) [21]. The study by Locke et al reported long-term data examining outcomes and risk of ESRD for LKDs stratified by BMI ≥ 30 kg/m (n=20,588) and <30 kg/m (n=58,004) [22]. On multivariate analysis, obesity (HR 1.86, CI 1.05-3.30, Kidney Outcomes in High BMI LKD: Narrative Review The Open Urology & Nephrology Journal, 2017, Volume 10 47 p=0.04) and AA race (HR 4.62, CI 3.46-6.16, p<0.001) were the two risk factors that were significantly associated with the development of ESRD. The risk for ESRD post-donation increased 7% for every 1 unit increase in baseline BMI >27 kg/m [22]. In the study by Bello et al, renal outcomes and risk factors for 77 LKDs were evaluated. On multivariate analysis, higher BMI was found to have a statistically significant prevalence ratio for low GFR <60 mL/min at follow-up (PR 1.10, CI 1.05-1.15, p<0.0001) [23]. Four studies found no significant differences in kidney function between obese and non-obese LKDs at follow-up (range, 6-11 years) [25 28]. 3.2. Higher BMI and Blood Pressure The effects of higher BMI on the risk of hypertension in the general population have been reviewed. Hypertension data specific to higher BMI LKDs was available in eight studies in our review. BMI status was found to be associated with the presence of hypertension in six of these studies. Ibrahim et al reported that higher BMI significantly increased the risk of hypertension (OR 1.12, CI 1.04-1.21, p=0.003) [24]. In the two studies by Nogueira et al (2009, 2010), 41% of LKDs were found to be hypertensive at follow-up [20, 21]. In the 2009 study, mean blood pressures at follow-up were 120.8±14.5 mm Hg and 79.7±9.3 mm Hg for systolic and diastolic, respectively. In the 2010 study, mean blood pressures at follow-up were 122.0±13 mm and Hg 77.3±7.4mm Hg for systolic and diastolic, respectively. Nogueira et al (2010) also noted that, although mean blood pressures were similar at follow-up, a larger percentage of obese LKDs in their study had a diagnosis of hypertension than the LKDs from the Ibrahim study (30.6% vs. 24.7%) [21]. At follow-up, Tavakol et al noted that the mean systolic and diastolic blood pressures were higher for obese LKDs and non-obese LKDs who became obese during the study [25]. A greater number of obese LKDs carried a hypertension diagnosis at follow-up. On multivariate analysis, obesity at donation was found to be a risk factor for the development of hypertension during the study (OR 4.02; CI 1.2013.00, p=0.021) [25]. On multivariate analysis, Bello et al found that higher BMI carried a statistically significant prevalence ratio for hypertension at follow-up (PR 1.11, CI 1.04-1.17, p=.0003). At the time of follow-up, 20 LKDs had hypertension, with a mean BMI of 30.41±5.88 kg/m, compared to 57 without hypertension, with a mean BMI of 25.34±3.99 [23]. At baseline, in the study by Locke et al the mean systolic and diastolic blood pressures were higher for obese LKDs (124.1±13.1 mm Hg and 75.6±9.3 mm Hg, respectively) compared to non-obese LKDs (119.9±13.3 mm Hg and 72.9±9.4 mm Hg, respectively) [22]. Three studies either did not report comparison statistics [28] or did not find any differences in blood pressure relating to BMI status at follow-up [26, 27]. 3.3. Higher BMI and Proteinuria Risk of proteinuria has been discussed in the non-donor higher BMI population in the background section. Among the nine studies included in our current review, six studies presented data on proteinuria for higher BMI LKDs. The presence of proteinuria was noted to be significantly associated with higher BMI in three of these studies. Tavakol et al found that the 24-hour urine protein was 80±30 mg/d at baseline and 146 ± 62 mg/d at follow-up. A greater percentage of obese LKDs (44%) had abnormal proteinuria compared to non-obese LKDs (18%) (P=0.03). On multivariate analysis, obesity at donation was a significant predictor of abnormal proteinuria at follow-up (OR 8.9, CI 1.1-70.0, p=0.039) [25]. Nogueira et al (2009) found that 18% of the AA LKDs developed proteinuria at follow-up [20]. In the 2010 study by Nogueira et al, 19% of subjects developed microalbuminuria. They noted that development of microalbuminuria appeared to correlate with greater decrements in GFR [21]. The remaining three studies found no association between BMI and the presence of proteinuria [24, 26, 27]. 48 The Open Urology & Nephrology Journal, 2017, Volume 10 Murthy et al. 4. DISCUSSION In our current narrative review evaluating kidney-related outcomes for higher BMI LKDs, we noted significant heterogeneity in the reporting of data among the nine studies, ranging from the study design, follow-up period, control groups used, method of kidney function estimation, to the reporting of proteinuria and hypertension. The strengths of the included studies
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