Abstract
Conventional risk factors of cardiovascular disease and mortality in the general population such as body mass, serum cholesterol, and blood pressure are also found to relate to outcome in maintenance dialysis patients, but often in an opposite direction. Obesity, hypercholesterolemia, and hypertension appear to be protective features that are associated with a greater survival among dialysis patients. A similar protective role has been described for high serum creatinine and possibly homocysteine levels in end-stage renal disease (ESRD) patients. These findings are in contrast to the well-known association between over-nutrition and poor outcome in the general population. The association between under-nutrition and adverse cardiovascular outcome in dialysis patients, which stands in contrast to that seen in non-ESRD individuals, has been referred to as "reverse epidemiology." Publication bias may have handicapped or delayed additional reports with such paradoxical findings in ESRD patients. The etiology of this inverse association between conventional risk factors and clinical outcome in dialysis patients is not clear. Several possible causes are hypothesized. First, survival bias may play a role since only a small number of patients with chronic kidney disease (CKD) survive long enough to reach ESRD. Hence, the dialysis patients are probably a distinctively selected population out of CKD patients and may not represent the risk factor constellations of their CKD predecessors. Second, the time discrepancy between competitive risk factors may play a role. For example, the survival disadvantages of under-nutrition, which is frequently present in dialysis patients, may have a major impact on mortality in a shorter period of time, and this overwhelms the long-term negative effects of over-nutrition on survival. Third, the presence of the "malnutrition-inflammation complex syndrome" (MICS) in dialysis patients may also explain the existence of reverse epidemiology in dialysis patients. Both protein-energy malnutrition and inflammation or the combination of the two are much more common in dialysis patients than in the general population and many elements of MICS, such as low weight-for-height, hypocholesterolemia, or hypocreatininemia, are known risk factors of poor outcome in dialysis patients. The existence of reverse epidemiology may have a bearing on the management of dialysis patients. It is possible that new standards or goals for such traditional risk factors as body mass, serum cholesterol, and blood pressure should be considered for these individuals.
Highlights
Reverse epidemiology of cardiovascular risk factors in maintenance dialysis patients
Numerous reports indicate that in contrast to the general population, where markers of overnutrition are associated with increased risk of cardiovascular disease, decreased nutritional measures, such as a low body mass index (BMI) or weight-for-height [4] or a reduced serum cholesterol or creatinine concentration [5], are strongly correlated with increased morbidity and mortality, including a higher risk of cardiovascular events and death in dialysis patients (Fig. 1)
We have recently found a similar positive correlation in a sample of 368 hemodialysis patients, which may indicate that plasma total homocysteine (tHcys) is a nutritional and/or inflammatory marker in dialysis patients
Summary
The reversal of certain key risk factors in dialysis patients poses serious questions. It is important to appreciate that some of the discussed risk factors may represent different biologic or medical phenomena in ESRD patients as compared to the general population. We believe that PEM and inflammation (MICS) are the best candidates Despite all these concerns, the evidence is strong that a risk factor paradox exits in those who reach ESRD and who continue to have an unacceptably high rate of mortality, currently approximately 20% in the United States. Extended observations with sequential measurement of BMI, blood pressure, and serum levels of cholesterol, creatrinine, homocysteine and other relevant markers should be helpful to identify different subgroups of dialysis patients who may have traditional epidemiology as well as those who have reverse epidemiology. A recent analysis by Lowrie et al [138], based on 43,334 MHD patients, showed an improved survival in those with higher BMI values
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