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Nutrición Hospitalaria

On-line version ISSN 1699-5198Print version ISSN 0212-1611

Nutr. Hosp. vol.38 n.5 Madrid Sep./Oct. 2021  Epub Jan 24, 2022

https://dx.doi.org/10.20960/nh.03646 

Original Papers

Changes in cardiometabolic risk factors and metabolic syndrome over time in living kidney donors: a retrospective cohort study

Cambios en los factores de riesgo cardiometabólico y el síndrome metabólico a través del tiempo en los donantes renales vivos: estudio de cohortes retrospectivo

Geovana Martín-Alemañy1  , Monserrat Pérez-Navarro1  , Alberto Rosas-Herrera1  , Héctor Hinojosa-Heredia2  , Laura Fuentes-Méndez1  2  , Rafael Valdez-Ortiz1 

1Department of Nephrology. Hospital General de México Dr. Eduardo Liceaga. Mexico City, Mexico

2Department of Transplantation. Hospital General de México Dr. Eduardo Liceaga. Mexico City, Mexico

Abstract

Background:

permissibility in the selection of living kidney donors (LKD) with one or more cardiometabolic risk factors (CMRFs) and/or metabolic syndrome (MS) is an increasingly frequent practice worldwide. These factors, together with kidney donation specifically, are known to be associated with an increased risk of chronic kidney disease (CKD).

Methods:

we analyzed the frequency of CMRFs and MS before and after kidney donation in LKD. In the secondary analysis, we associated CMRFs and MS with renal function. The SPSS V22.0 software was used.

Results:

we analyzed 110 LKD patients, with a mean age of 35.05 ± 10.5 years: 63 (57.3 %) men and 47 (42.7 %) women. Patients were followed for 25 ± 17.48 months after nephrectomy. Prior to donation, 62 patients (56.4 %) had MS, and the presence of one to six CMRFs was 19.1 %, 32 %, 18.2 %, 17.3 %, 3.6 %, and 0.9 %, respectively. During follow-up, in donors, the incidence of overweight increased from 48.2 % to 52.7 %, (p < 0.01); that of obesity increased from 11.8 % to 20.9 % (p < 0.01); that of hyperuricemia increased from 17.3 % to 26.4 %, (p < 0.01); that of hypercholesterolemia increased from 24.5 % to 33.6 % (p < 0.01); and that of hypertriglyceridemia increased from 47.3 % to 50.9 % (p < 0.01), while the incidence of MS decreased from 56.4 % to 51.8 % (p < 0.01). A logistic regression analysis showed that the presence of CMRFs did not show any association with glomerular filtration rates below 60 mL/min/1.73 m2.

Conclusion:

LKD had a high frequency of CMRFs and MS at the time of donation, and over time, the incidence of CMRFs significantly increased. Because these factors, together with kidney donation, could be associated with an increased risk of CKD, we must evaluate protocols for LKD and consider stricter criteria in the selection of LKD, with an emphasis on follow-up protocols to address CMRFs and MS.

Keywords: Living donors; Metabolic syndrome; Chronic kidney disease

Resumen

Introducción:

la permisibilidad en la selección de los donantes renales vivos (DRV) con uno o más factores de riesgo cardiometabólico (FRCM) y/o síndrome metabólico (SM) es una práctica cada vez más frecuente en todo el mundo. Se sabe que estos factores, junto con la donación de riñón, específicamente, están asociados con un mayor riesgo de enfermedad renal crónica (ERC).

Métodos:

analizamos la frecuencia de los FRCM y SM antes y después de la donación renal en DRV. En el análisis secundario, asociamos los FRCM y la SM con la función renal. Se utilizó el programa SPSS V22.0.

Resultados:

se analizaron 110 DRV con una edad media de 35,05 ± 10,5 años: 63 (57,3 %) hombres y 47 (42,7 %) mujeres. Los pacientes fueron seguidos durante 25 ± 17,48 meses después de la nefrectomía. Antes de la donación, 62 pacientes (56,4 %) tenían SM y la presencia de uno a seis FRCM era del 19,1 %, 32 %, 18,2 %, 17,3 %, 3,6 % y 0,9 %, respectivamente. Durante el seguimiento, en los donantes, la incidencia del sobrepeso aumentó del 48,2 % al 52,7 % (p < 0,01); la de la obesidad pasó del 11,8 % al 20,9 % (p < 0,01); la de la hiperuricemia aumentó del 17,3 % al 26,4 % (p < 0,01); la de la hipercolesterolemia aumentó del 24,5 % al 33,6 % (p < 0,01); y la de la hipertrigliceridemia aumentó del 47,3 % al 50,9 % (p < 0,01), mientras que la incidencia del SM disminuyó del 56,4 % al 51,8 % (p < 0,01). El análisis de regresión logística mostró que la presencia de FRCM no presentaba ninguna asociación con las tasas de filtración glomerular por debajo de 60 ml/min/1,73 m2.

Conclusión:

los DRV tuvieron una alta frecuencia de FRCM y SM en el momento de la donación y, con el tiempo, la incidencia aumentó significativamente. Debido a que estos factores, junto con la donación de riñón, podrían estar asociados a un mayor riesgo de ERC, debemos evaluar los protocolos de los DRV y considerar criterios más estrictos en la selección de estos donantes, haciendo énfasis en los protocolos de seguimiento para tratar los FRCM y el SM.

Palabras clave: Donantes vivos; Síndrome metabólico; Enfermedad renal crónica

INTRODUCTION

Chronic kidney disease (CKD) is a public health problem in our country, with increasing morbidity and mortality (1). Living kidney donors are a population potentially at risk of developing CKD (2,3). Initial studies showed the apparent safety of kidney donation (4); however, subsequent studies have revealed that the donation process is an independent risk factor that increases the probability of developing CKD (2). It is recognized that the presence of me­­tabolic syndrome (MS) and cardiometabolic risk factors (CMFRs) increase the risk of CKD HR: 1.30 (95 % CI, 1.24-1.36) (5); OR: 2.48 (95 % CI, 1.33-4.62) (6); OR: 1.43 (95 % CI, 1.18-1.73) (7). This risk has also been demonstrated in kidney donor patients in which the presence of MS was associated with an increased risk of developing CKD (8).

Renal transplantation is the treatment of choice for preserving quality of life in patients with CKD (1,2). When considering renal donors, it is essential to carry out protocols for evaluating short- and long-term risks associated with the immediate nephrectomy procedure and future possible development of CKD (7,8). Accor­ding to the Clinical Practice Guideline on the Evaluation and Care of Living Kidney Donors, some absolute contraindications for LKD are glomerular filtration rate < 60 mL/min/1.73 m2, autosomal dominant polycystic kidney disease, candidates with IgA nephro­pathy, donor candidates with active malignancy, donor candidates with kidney disease that causes kidney failure, pregnancy, and an albumin excretion rate greater than 100 mg/dL (13). However, the opinion of the Clinical Practice Guideline on the Evaluation and Care of Living Kidney Donors regarding candidates for living kidney donation with diabetes mellitus, MS, obesity, or hypertension are permissive and leave decision-making regarding the acceptance or rejection of donors with these comorbidities open to clinical judgment and the individual circumstances of the cases involved (14).

Based on these guidelines, some hospitals with renal transplantation programs have chosen to be permissive and accept kidney donors with CMRFs or even MS, leaving the treatment for these alterations undescribed not only before donation but also after donation, with no emphasis on any follow-up protocol to correct these alterations.

From our perspective, if donation is an independent risk factor for the development of CKD, the additional presence of metabolic syndrome and CMRFs in kidney donors increases the probability of developing CKD. Based on the above, the objective of this study was to describe changes in CMRFs and MS over time in LKD. The findings generated by this study will be used to establish a checklist for use in transplant programs regarding the selection, evaluation, and follow-up criteria for living kidney donors.

MATERIALS AND METHODS

STUDY DESIGN

This was a retrospective cohort study in LKD to identify the presence of CMRFs and MS over time. Clinical, biochemical, and anthropometric parameters registered in the medical records at the time of donation and at the last visit at the outpatient clinic were evaluated. Medical records of LKD were reviewed from April 2010 to December 2015. All medical records that had complete information and a follow-up of at least 6 months after donation were included in the study. Medical records with incomplete information or with less than 6 months of follow-up after donation were excluded. The study was carried out according to the STROBE principles, performed in accordance with the Helsinki Declaration of 1975, and approved by the hospital's Ethics and Research Committee with the registration number DI/16/105B/03/065.

OPERATIONAL DEFINITIONS OF VARIABLES

The CMRFs considered in this study were serum glucose concentrations ≥ 100 mg/dL; triglycerides ≥ 150 mg/dL; total cholesterol ≥ 200 mg/dL; and body mass index (BMI) ≥ 25 kg/m2 (to define overweight) or ≥ 30 kg/m2 (to define obesity) accor­ding to the classification of the World Health Organization (WHO). High systolic blood pressure (SBP) was defined as SBP between 120 and 129 mmHg, and high diastolic blood pressure (DBP) was defined as DBP ≥ 80 mmHg, according to the American Heart Association (15). The diagnosis of MS was made accor­ding to the modified criteria of the Adult Treatment Panel III (16) considering the presence of three or more of the following criteria that were taken from the data available in the medical records: 1) fasting glucose ≥ 100 mg/dL; 2) triglycerides ≥ 150 mg/dL; 3) SBP ≥ 130 mmHg and/or DBP ≥ 85 mmHg; and 4) obesity or overweight according to BMI ≥ 25 kg/m2 (17). We also analyzed variables that are known to be associated with CMRFs: tobacco consumption, alcohol consumption, and uric acid ≥ 6.8 mg/dL. The presence or absence of a family history of diabetes mellitus, hypertension, or CKD was recorded. The glomerular filtration rate (GFR) was estimated with the Chronic Kidney Di­sease Epidemiology Collaboration (CKD-EPI) formula, and a GFR of 90-130 mL/min/1.73 m2 was considered a normal value.

STATISTICAL ANALYSIS

According to the data distribution, media and standard deviations or media and interquartile ranges were used, categorical variables were reported in absolute numbers and frequencies, and the Chi-squared or Fisher's exact test was used to compare differences.

Paired Student's t-tests were used to compare changes in the CMRFs and MS in the same donor over time before nephrectomy. In the secondary analysis, we used univariate logistic regression to describe the association of CMRFs and MS with GFRs less than 90, 70 and 60 mL/min/1.73 m2. A 95 % CI and two-sided p < 0.05 were considered to indicate statistical significance.

RESULTS

BASELINE CHARACTERISTICS OF KIDNEY DONORS

The study included 63 (57.3 %) men and 47 (42.7 %) women with a mean age of 35.05 ± 10.5 years (Table I). Patients were followed for 25 ± 17.48 months after nephrectomy. In terms of family history, 50 % of the subjects reported relatives with diabetes; 39.1 % had a history of kidney disease; 31.8 % had a history of systemic arterial hypertension; 2.7 % had a history of heart disease; and 0.9 % had a history of obesity. Similarly, 37.3 % of patients had a history of tobacco use, and 42.7 % had a history of alcohol consumption. With an average BMI of 26 ± 11 kg/m2, 40 % of patients had a normal weight, 48.2 % had overweight, and 11.8 % had obesity, according to the WHO criteria. Regarding blood pressure, mean SBP was 112 ± 14.1 mmHg, and mean DBP was 72.2 ± 7.6 mmHg. Among biochemical parameters a mean glucose of 90.9 ± 9.9 mg/dL, triglycerides of 160.2 ± 91.6 mg/dL, and serum creatinine of 0.8 ± 0.1 mg/dL were observed. In terms of metabolic syndrome 62 patients met the criteria of MS prior to nephrectomy (56.4 %).

Table I.  Baseline characteristics of kidney donors 

Data are absolute number (percentage), mean ± SD.

CHANGES IN BODY MASS INDEX AND IN CLINICAL AND BIOCHEMICAL PARAMETERS IN KIDNEY DONORS DURING FOLLOW-UP

The paired comparison between baseline and final BMIs showed significant differences, with an increase in the percentage of donors who were overweight (48.2 % to 52.7 %, p < 0.001) or obese (11.8 % to 20.9 %, p < 0.001) (Table II).

Table II.  Changes in body mass index, clinical and biochemical parameters in kidney donors during follow-up 

Classification of weight according to the World Health Organization. Cardiometabolic risk factors: glucose ≥ 100 mg/dL; uric acid ≥ 6.8 mg/dL; triglycerides ≥ 150 mg/dL; elevated systolic blood pressure, 120-129 mmHg; elevated diastolic blood pressure ≥ 80 mmHg; overweight BMI ≥ 25 kg/m2; obesity ≥ 30 kg/m2.

Regarding biochemical parameters, the percentage of patients with hyperuricemia increased from 17.3 % to 26.4 % (p < 0.001), that of subjects with hypercholesterolemia increased from 24.5 % to 33.6 % (p < 0.001), and the percentage of patients with hypertriglyceridemia increased from 47.3 % to 50.9 % (p < 0.001), with a statistically significant decrease in patients with fasting glucose alterations. Before donation, 19.1 % of patients had at least one risk factor; 32 % had two factors; 18.2 % had three factors; 17.3 % had four factors; 3.6 % had five factors; and 0.9 % had six factors. At the end of follow-up there was a significant decrease in patients with one or two risk factors, and a significant increase in patients with four risk factors was observed (Table II). A reduction in the percentage of patients with metabolic syndrome from 56.4 % to 51.8 % (p < 0.01) was also observed. On the other hand, in the evaluation of GFR a significant decrease was observed from 109.24 mL/min/1.73 m2 to 79 mL/min/1.73 m2 (p < 0.01) across the entire patient population. The percentage of change for each cardiometabolic factor between baseline and the end of follow-up is shown in figure 1.

Figure 1.  Percentage of patients with one metabolic risk factor and metabolic syndrome at baseline and at follow-up. The asterisk indicates p < 0.05 for the comparison from baseline for each group. 

ASSOCIATION OF CARDIOMETABOLIC RISK FACTORS WITH DECREASED GLOMERULAR FILTRATION RATE

At the end of follow-up the following was documented: ele­ven patients with GFR < 60 mL/min/1.73 m2; fifty-seven patients with GFR < 70 mL/min/1.73 m2; and eighty-two patients with GFR < 90 mL/min/1.73 m2. In the univariate logistic regression analysis there was no association between CMRFs and decreased GFR (Table III).

Table III.  Univariate logistic regressions for cardiometabolic risk factors measured at baseline associated with glomerular filtration rate 

DISCUSSION

Our results show a high number of LKD with one or more CMRFs and MS before and after nephrectomy. Likewise, at the end of fo­­llow-up a significant increase in patients with a single CMRF, such as overweight, obesity, hypercholesterolemia, hype­ruricemia, or hypertriglyceridemia, was documented, and we also observed an increase in the combination of 3, 4, 5, and 6 CMRFs. Although we observed a decrease in the percentage of patients with MS, their frequency was still greater than 50 %.

The Clinical Practice Guideline on the Evaluation and Care of Living Kidney Donors with respect to candidates for living kidney donation with diabetes mellitus, MS, obesity, or hypertension are permissive and leave decision-making open to clinical judgment and individual circumstances. No consensus exists on the acceptance or rejection of a donor who suffers from these comorbidities or who may have more than one CMRF, and only one recommendation exists for those specifically diagnosed with MS (13).

In 2005, in the Amsterdam Forum, it was established that individuals with a family history of diabetes or with a diagnosis of diabetes should not be donors due to the potential risk of developing diabetic nephropathy (4). The American Diabetes Association (ADA) recommends a systematic review of the risk of developing DM, such as: 1) family history of type-2 diabetes mellitus; 2) obesity (BMI > 30 kg/m2); 3) alcohol consumption; 4) black, Andean or Native American individuals; 5) hypertension; 6) dyslipidemia; and 7) age over 40 years (18). However, despite these recommendations our study identified LKD with a positive family history of diabetes, high blood pressure, obesity, hypercholesterolemia, and hypertriglyceridemia. Likewise, a significant increase in LKD with obesity and overweight was documented at the end of follow-up.

It has been established that overweight and obesity are risk factors for the development of kidney disease (19). In a cohort of 2,585 patients who have been monitored since 1978, it was found that for each unit of standard deviation of BMI, obesity increased the risk of developing kidney disease by 23 % (20). In the same way, Hsu et al., after adjusting for variables such as blood pre­ssure and diabetes mellitus, reported that the risk of developing advanced chronic kidney disease increased proportionally with BMI (21). Therefore, in overweight subjects the risk for CKD was 1.87; for patients with class-1 obesity the risk was estimated at 3.57; for patients with type-2 obesity the risk was 6.12; and for patients with extreme obesity the estimated risk reached 7.07 (21). On the other hand, Whan et al. found that in overweight patients the risk of developing hypertension was 1.30, and in patients with obesity it was 1.50 (22).

Our study allowed us to identify that 44.5 % of the subjects already had elevated systolic blood pressure according to the new classification of the American Heart Association. Hypertension is a well-established and independent risk factor for the development of CKD (23). The study by Shulman et al. showed that 5.9 % of the participants in the Hypertension Detection and Follow-Up Program had serum creatinine levels greater than or equal to 1.5 mg/dL, while 2.3 % of 8,683 patients with repeated serum creatinine measurements had a significant loss of renal function at 5 years of follow-up (24). In addition to the above, our study allowed us to document a high frequency of hyperuricemia after donation. Hyperuricemia has been established as a risk factor for chronic kidney disease due to preglomerular arteriopathy and tubulointerstitial inflammation (25).

Our study also revealed a high frequency of renal donors with metabolic syndrome. Studies have associated MS with an increased risk of CKD. A meta-analysis published in 2003 by Thomas et al. (31) identified that MS increased the risk of having a GFR < 60 mL/min/1.73 m2 by up to 55 %. Other studies have reported how MS increases the risk of CKD from 30 % (5) to 88 % (26). Similarly, the individual components of MS, such as elevated blood pressure, hypertriglyceridemia, and impaired fasting glucose, were associated with an increased risk of loss of renal function (27). Likewise, as more of the components of MS become present, the risk for CKD also increases (27). The study by Feng Sun et al. observed that the presence of one CMRF increased the risk of developing CKD by 14 %, while the presence of five components increased the risk by 2.72 times (5).

In this paper we identified a decrease in the GFR expected for LKD. However, the inferential analysis between risk factors and the decrease in GFR did not reveal a greater association between the presence or number of CMRFs and the presence of MS; however, there is clear evidence that this association can be observed from the third or fifth year of follow-up (28-32). A Mexican study published by Cuevas-Ramos et al. evaluated the impact of MS on GFR in renal donors. The study showed that the presence of MS before nephrectomy was an independent risk factor that increased the risk of having a GFR < 70 mL/min/1.73 m2 by 2.2 times (8). On the other hand, the meta-analysis by Thomas et al. analyzed eleven prospective studies and revealed that MS and its components were significantly associated with an increased risk of developing CKD (27). Based on all the above, our results show a high percentage of LKD with CMRFs and MS.

The strategies established to date do not seem to improve CMRFs, so it is important to change and strictly supervise other strategies for modifying lifestyles and habits in LKD in order to modify CMRFs and reduce the frequency of MS. Studies have shown efficacy in reducing the progression of kidney damage with the application of strategies to improve CMRFs (29). Mexico currently has a high frequency of MS (30). With inadequate nutritional habits and sedentary lifestyles (31) the Mexican population has diets characterized by high sodium load, refined carbohydrates, and processed foods (31-33).

Although the study protocol for LKD in our hospital requires patients with MS to have multidisciplinary evaluations in nutrition, endocrinology, and internal medicine to reduce their body weight, it is the Transplant Committee who conditions the donation-to-be until the LKD has demonstrated a change in lifestyle and a significant decrease in body weight. Unfortunately, our results suggest that, in general, LKD resume lifestyles that favor the development of overweight, obesity, and metabolic syndrome.

With a donation rate of 22 transplants per million inhabitants (34), our country needs an increased donation rate to address the high incidence of patients with kidney disease (9). However, our results suggest that we need standardized protocols for LKD that are more stringent and consider excluding patients with CMRFs and MS due to the clear association with the development of kidney disease in other studies. This should be accompanied by a federal policy from the Ministry of Health that favors deceased donor programs. The rate of deceased donors in our country is insufficient (34). Although there are advances in legislative policies with laws that favor universal donation, there are still barriers that limit deceased donor processes such as a poor culture of donation; the limited infrastructure of hospitals, which cannot carry out procurement processes; no tissue banks; an insufficient number of transplant surgeons, and a complicated distribution and allocation system for organs, tissues, and cells (35). All these barriers must be addressed if deceased donor rates are to be improved and the number of living renal donors is to be reduced in our country.

We need to consider the different limitations of the present study. First, we could not use the definition for MS offered by the Adult Treatment Panel III, and we used different criteria according to the available data recorded in the medical records; and second, we analyzed the data of a small sample size. In conclusion, our study reveals a high percentage of LKD with CMRFs and MS, which is perhaps a reflection of a public health problem in our country. It is shown that after nephrectomy, there is an increased incidence of obesity and overweight in addition to other CMRFs. We must evaluate kidney donation protocols and consider stricter criteria in the selection of LKD, emphasizing follow-up protocols to address CMRFs and MS, accompanied by promotion of an infrastructure policy that favors deceased donor programs.

REFERENCES

1. Agudelo-Botero M, Valdez-Ortiz R, Giral-Rodríguez L, González Robledo MC, Mino-León D, Rosales-Herrera MF, et al. Overview of the burden of chronic kidney disease in Mexico:Secondary data analysis based on the Global Burden of Disease Study 2017. BMJ Open 2020;10(3):e035285. DOI:10.1136/bmjopen-2019-035285 [ Links ]

2. Mjøen G, Hallan S, Hartmann A, Foss A, Midtvedt K, Øyen O, et al. Long-term risks for kidney donors. Kidney Int 2014;86(1):162-7. DOI:10.1038/ki.2013.460 [ Links ]

3. Muzaale AD, Massie AB, Wang M-C, Montgomery RA, McBride MA, Wainright JL, et al. Risk of end-stage renal disease following live kidney donation. JAMA 2014;311(6):579-86. DOI:10.1001/jama.2013.285141 [ Links ]

4. Ibrahim HN, Foley R, Tan L, Rogers T, Bailey RF, Guo H, et al. Long-Term Consequences of Kidney Donation. N Engl J Med 2009;360(22):459-69. DOI:10.1056/NEJMoa0804883 [ Links ]

5. Sun F, Tao Q, Zhan S. Metabolic syndrome and the development of chronic kidney disease among 118 924 non-diabetic Taiwanese in a retrospective cohort. Nephrology (Carlton) 2010;15(1):84-92. DOI:10.1111/j.1440-1797.2009.01150.x [ Links ]

6. Kitiyakara C, Yamwong S, Cheepudomwit S, Domrongkitchaiporn S, Unkurapinun N, Pakpeankitvatana V, et al. The metabolic syndrome and chronic kidney disease in a Southeast Asian cohort. Kidney Int 2007;71(7):693-700. DOI:10.1038/sj.ki.5002128 [ Links ]

7. Kurella MC, Lo J, Chertow GM. Metabolic Syndrome and the Risk for Chronic Kidney Disease among Nondiabetic Adults. J Am Soc Nephrol 2005;16(7):2134-40. DOI:10.1681/ASN.2005010106 [ Links ]

8. Cuevas-Ramos D, Almeda-Valdés P, Arvizu M, Mata J, Morales-Buenrostro LE, Gabilondo B, et al. Association of the Metabolic Syndrome and Long-Term Renal Function in Kidney Donors. Transplant Proc 2011;43(5):1601-6. DOI:10.1016/j.transproceed.2011.02.058 [ Links ]

9. Jha V, Garcia-Garcia G, Iseki K, Li Z, Naicker S, Plattner B, et al. Chronic kidney disease:global dimension and perspectives. Lancet 2013;382(9888):260-72. DOI:10.1016/S0140-6736(13)60687-X [ Links ]

10. Levey AS, Coresh J. Chronic kidney disease. Lancet 2012;379(9811):165-80. DOI:10.1016/S0140-6736(11)60178-5 [ Links ]

11. Davis CL, Delmonico FL. Living-Donor Kidney Transplantation:A Review of the Current Practices for the Live Donor. J Am Soc Nephrol 2005;16(7):2098-110. DOI:10.1681/ASN.2004100824 [ Links ]

12. Tong A, Chapman JR, Wong G, de Bruijn J, Craig JC. Screening and Follow-Up of Living Kidney Donors':A Systematic Review of Clinical Practice Guidelines. Transplantation 2011;92(9):962-72. DOI:10.1097/TP.0b013e3182328276 [ Links ]

13. Lentine KL, Kasiske BL, Levey AS, Adams PL, AlberúJ, Bakr MA, et al. KDIGO Clinical Practice Guideline on the Evaluation and Care of Living Kidney Donors. Transplantation 2017;101(8S Suppl 1):S1-109. DOI:10.1097/TP.0000000000001769 [ Links ]

14. Mandelbrot DA, Reese PP, Garg N, Thomas CP, Rodrigue JR, Schinstock C, et al. KDOQI US Commentary on the 2017 KDIGO Clinical Practice Guideline on the Evaluation and Care of Living Kidney Donors. Am J Kidney Dis 2020;75(3):299-316. DOI:10.1053/j.ajkd.2019.10.005 [ Links ]

15. Chopra HK, S Ram CV. Recent Guidelines for Hypertension. Circ Res 2019;29;124(7):984-6. DOI:10.1161/CIRCRESAHA.119.314789 [ Links ]

16. Alberti KGMM, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, et al. Harmonizing the metabolic syndrome:a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention;National Heart, Lung, and Blood Institute;American Heart Association;World Heart Federation;International Atherosclerosis Society and International Association for the Study of Obesity. Circulation 2009;120(16):1640-5. DOI:10.1161/CIRCULATIONAHA.109.192644 [ Links ]

17. Sperling LS, Mechanick JI, Neeland IJ, Herrick JC, Després JP, Ndumele CE, et al. The CardioMetabolic Health Alliance Working Toward a New Care Model for the Metabolic Syndrome. J Am Coll Cardiol 2015;66(9):1050-67. DOI:10.1016/j.jacc.2015.06.1328 [ Links ]

18. Hernández D, Alvarez A, Armas Am, Rufino M, Porrini E, Torres A, et al. Síndrome metabólico y donación renal de vivo:¿este síndrome contraindica la donación?Nefrología 2009;29(1):20-9. [ Links ]

19. Câmara NO, Iseki K, Kramer H, Liu ZH, Sharma K. Kidney disease and obesity:epidemiology, mechanisms and treatment. Nat Rev Nephrol 2017;13(3):181-90. DOI:10.1038/nrneph.2016.191 [ Links ]

20. Leip EP, Wilson PWF. Predictors of New-Onset Kidney Disease in a Community-Based Population. JAMA 2004;291(/):844-50. DOI:10.1001/jama.291.7.844 [ Links ]

21. Hsu CY, McCulloch CE, Iribarren C, Darbinian J, Go AS. Body Mass Index and Risk for End-Stage Renal Disease. Ann Intern Med 2006;144(1):21-8. DOI:10.7326/0003-4819-144-1-200601030-00006 [ Links ]

22. Wang W, Lee ET, Fabsitz RR, Devereux R, Best L, Welty TK, et al. A Longitudinal Study of Hypertension Risk Factors and Their Relationship to Cardiovascular Disease:The Strong Heart Study. Hypertension 2006;47(3):403-7. DOI:10.1161/01.HYP.0000200710.29498.80 [ Links ]

23. Mcclellan WM, Flanders WD. Risk Factors for Progressive Chronic Kidney Disease. J Am Soc Nephrol 2003;14(7):65-70. [ Links ]

24. Shulman NB, Ford CE, Hall WD, Blaufox MD, Simon D, Langford HG, et al. Prognostic Value of Serum Creatinine and Effect of Treatment of Hypertension on Renal Function. Results From the Hypertension Detection and Follow-Up Program. The Hypertension Detection and Follow-up Program Cooperative Group. Hypertension 1989;13(5):80-93. [ Links ]

25. Kang DH, Chen W. Uric Acid and Chronic Kidney Disease:New Understanding of an Old Problem. Semin Nephrol 2011;31(5):447-52. DOI:10.1016/j.semnephrol.2011.08.009 [ Links ]

26. Rashidi A, Ghanbarian A, Azizi F. Are Patients Who Have Metabolic Syndrome without Diabetes at Risk for Developing Chronic Kidney Disease'?Evidence Based on Data From a Large Cohort Screening Population. Clin J Am Soc Nephrol 2007;2(5):976-83. DOI:10.2215/CJN.01020207 [ Links ]

27. Thomas G, Sehgal AR, Kashyap SR, Srinivas TR, Kirwan JP, Navaneethan SD. Metabolic Syndrome and Kidney Disease:A Systematic Review and Meta-analysis. Clin J Am Soc Nephrol 2011;6(10):2364-73. DOI:10.2215/CJN.02180311 [ Links ]

28. Watanabe H, Obata H, Watanabe T, Sasaki S, Nagai K, Aizawa Y. Metabolic syndrome and risk of development of chronic kidney disease:the Niigata preventive medicine study. Diabetes Metab Res Rev 2010;26(1):26-32. DOI:10.1002/dmrr.1058 [ Links ]

29. Navaneethan SD, Yehnert H, Moustarah F, Schreiber MJ, Schauer PR, Beddhu S. Weight Loss Interventions in Chronic Kidney Disease:A Systematic Review and Meta-Analysis. Clin Am Soc Nephrol 2009;4(10):1565-74. DOI:10.2215/CJN.02250409 [ Links ]

30. Gutiérrez-Solis AL, Datta-Banik S, Méndez-González RM. Prevalence of Metabolic Syndrome in Mexico':A systematic Review and Meta-Analysis. Metab Syndr Relat Disord 2018;16(8):395-405. DOI:10.1089/met.2017.0157 [ Links ]

31. Medina C, Tolentino-Mayo L, López-Ridaura R, Barquera S. Evidence of increasing sedentarism in Mexico City during the last decade':Sitting time prevalence, trends, and associations with obesity and diabetes. PLoS One 2017;2(12):1-15. DOI:10.1371/journal.pone.0188518 [ Links ]

32. Vega-Vega O, Fonseca-Correa JI, Mendoza-De la Garza A, Rincón-Pedrero R, Espinosa-Cuevas A, Baeza-Arias Y, et al. Contemporary Dietary Intake. Too Much Sodium, Not Enough Potassium, yet Sufficient Iodine. The SALMEX Cohort Results. Nutrients 2018;10(7). DOI:10.3390/nu10070816 [ Links ]

33. Galvan-Portillo M, Sánchez E, Cárdenas-Cárdenas LM, Karam R, Claudio L, Cruz M, et al. Dietary patterns in Mexican children and adolescents:Characterization and relation with socioeconomic and home environment factors. Appetite 2017;121:275-84. DOI:10.1016/j.appet.2017.11.088 [ Links ]

34. Centro Nacional de Trasplantes;2019 [accessed August 10, 2019]. Available at:https://datos.gob.mx/busca/organization/cenatra. [ Links ]

35. Centro Nacional de Trasplantes;2019 [Accessed August 27, 2019]. Available at:https://datos.gob.mx/busca/dataset/establecimientos-activos-y-sus-programas-al-30-de-junio-de-2019/resource/84534054-96b1-47c5-b99b-713c1d8eb044. [ Links ]

Authorship:Geovana Martin-Alemañy participated in the conception and design of the study, the analysis and interpretation of the data, and the drafting and revision of the manuscript. Monserrat Perez-Navarro participated in the conception and design of the study, the analysis and interpretation of the data, and the drafting and revision of the manuscript. Alberto Rosas-Herrera participated in the data collection and analysis of the data. Hector Hinojosa-Heredia participated in the data collection and analysis of the data. Laura Fuentes-Mendez participated in the data collection and analysis of the data. Rafael Valdez- Ortiz participated in the conception and design of the study, the analysis and interpretation of the data, the drafting and revision of the manuscript, and the revision and approval of the final version of the manuscript.

Received: April 14, 2021; Accepted: June 22, 2021

Correspondence: Rafael Valdez Ortiz. Servicio de Nefrología. Hospital General de México Dr. Eduardo Liceaga. Dr. Balmis, 148. Col. Doctores, Delegación Cuauhtémoc. 06726 México D.F. Mexico e-mail: rafavaldez@gmail.com

Conflicts of interest:

none declared.

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