Predictors of mortality in hemodialysis patients

Introduction
Mortality in patients with chronic renal failure is high compared to the general population. The objective of our study is to evaluate the predictive factors related to mortality in hemodialysis.


Methods
This is a retrospective study involving 126 hemodialysis patients in the Nephrology Department of Ibn Rochd Hospital, Casablanca. Data were collected between January 2012 and January 2016. For each of our patients, we analyzed demographic, clinical, biological and anthropometric data. The Kaplan-Meier method and the log-rank test were used to evaluate and compare survival curves. To evaluate the effect of predictors of mortality, we used the proportional Cox hazard model.


Results
The analysis of the results showed that the surviving patients were younger than the deceased patients (43.07±13.52 years versus 53.09±13.56 years, p=0.001). Also, the latter has a significantly lower albumin and prealbumin levels (p=0.01 and p=0.04 respectively). Overall survival was 80.2%. Cox regression analysis at age (HR=1.26, p<0.0002), inflammation (HR=1.15, p<0.03), AIP> 0.24 (HR=2.1, p<0.002) and cardiovascular disease (RR=2.91, p<0.001) were associated with global and cardiovascular mortality.


Conclusion
Our study showed that the mortality rate is high in our cohort. In addition, cardiovascular diseases, under nutrition and inflammation are predictive factors for mortality. Treatment and early management of these factors are essential for reducing morbidity and mortality.


Introduction
Over the last two decades, advances in the treatment of chronic kidney disease (CKD) helped increase the survival of hemodialysis (HD) patients. There are currently about 2 million people on hemodialysis worldwide, representing only 10% of people who need it [1]. This number continues to grow with the aging of the population. Unfortunately, despite the technical advances in hemodialysis, the mortality of patients with end-stage renal disease (ESRD) is 10 to 30 times higher than that of the general population [2,3]. In 2011 data from the Maghreb showed that the mortality rate among patients varied between countries ranging from 6% in Morocco, and 10.4% in Tunisia to 12% in Algeria [4]. This mortality is partly explained by the presence of important co-morbidities, such as cardiovascular diseases, diabetes and advanced age. At the same time, among the other risk factors for mortality, under nutrition is a proven factor, widely studied but too often forgotten and underestimated [5]. Protein-energy malnutrition in dialysis patient is frequent and multifactorial which begins well before the start of hemodialysis. It results from an imbalance between the contributions and the needs of the organism, resulting in tissue losses having deleterious functional consequences, associated with a high morbidity and with an unfavorable prognosis, as was confirmed in our previous studies [6,7]. In fact, the annual mortality of undernourished HD patients is close to 30%, whereas it is generally 10 to 15% in nonmalnourished patients [8]. Note that in this population, overweight and obesity paradoxically appear as factors of good prognosis [9].
However, the mechanisms involved in the high mortality in the context of under nutrition are still poorly understood [10]. In this context, we conducted a retrospective study to determine the factors implicated in mortality in long-term hemodialysis patients. We also tried to evaluate the impact of protein-energy malnutrition on the risk of mortality in order to verify whether the cause of death of patients followed for an ESRD was renal or rather caused by other pathologies.
For this, we examined the nutritional, lipid and inflammatory profiles of our study population.

Methods
This is a descriptive retrospective study, which took place over a period of 4 years from January 2012 to January 2016 in the Department of Nephrology-Transplantation and Hemodialysis of the

Results
Presentation of the study population: in the present study, the mean age of participants was 44.81±14.01 years old. Of 126 subjects, 52.38% were females and 47.62% were males. We compared patients according to their "surviving" or "deceased" status. The demographic and clinical data of the two groups are listed in Table 1.
The analysis of the results obtained showed that the surviving patients were younger than the deceased patients (43.07±13.52 years versus 53.09±13.56 years old, p=0.001). In addition, these patients have a significantly lower albumin and prealbumin levels compared to the surviving patients (p=0.01 and p=0.04 respectively).
The comparison of lipid and lipoprotein parameters did not show any significant differences between the two groups. In contrast, the inflammatory marker (CRP) was significantly elevated in the deceased patients (p=0.006). Table 2 (Table 3). Among these factors, we note that a patient aged over 65 is 1.26 times more likely at risk than a patient under 65 years of age (p=0.002). Also, having at least one cardiovascular pathology constitutes a risk of death in the HD patient 2.9 times greater compared to a patient without a cardiovascular pathology (p=0.001).
It is also noted that malnourished patients have a relative risk of dying almost twice greater than non-malnourished patients (p=0.01). Thus, the survival analysis showed that the average survival since inclusion of our patients is 43.67 months. In addition, the overall survival at 12 months of follow-up was approximately 95%, 87.3% at 24 months and it reached 80.2% at 48 months as shown in Figure 1. However, this difference was not statistically significant (p=0.15).
According to the survival curve, hypertension was not a factor contributing to death in our population (p=0.13). In fact, the 4-year survival was 85% for non-hypertensive patients and 71% for hypertensive ( Figure 7).

Discussion
For many years, the variability in mortality of HD patients between different countries has been widely documented. Our study provides a set of indicators on the survival and causes of death of patients on ESRD treated with hemodialysis. During our study, 22 patients died (17.46%), whose etiology of death was mainly cardiovascular disease (22.72%). Our results also revealed that advanced age, undernutrition or cardiovascular disease, and inflammation are predictive factors for overall mortality of HD patients independently or when associated, thereby decreasing their life expectancy.
Worldwide, end-stage chronic kidney disease accounts for about 1% of all deaths. Between 1990 and 2010, the mortality rate from ESRD increased by 15% while the all-cause mortality rate decreased by 21% [11]. The burden of chronic kidney disease on mortality is significant and continues to increase, which requires, even more, optimal medical management of these patients. Several publications have confirmed the excess of cardiovascular morbidity and mortality in patients with renal insufficiency and in particular, those who undergo chronic extra renal treatment. Nearly half of the deaths occurring in dialysis patients have a cardiovascular cause [7,12].
In our study, they were diagnosed in 22.72% of our patients, this value is probably underestimated, and especially that the cause of death was undetermined for 54.54% of the subjects. This proportion appears to be much lower than many studies [13] and is also higher than what was reported in other previous studies of our team (13.1%) [14]. The prevalence of mortality in HD patients reported by registries is 20 to 35% lower in Europe and Japan compared to the United States [15]. USRDS (United States Renal Data System) patient comparison with those of Registro Lombardo Dialisi E Trapianto (Lombard Registry of Dialysis and Transplantation) shows a relative risk (RR) of mortality of 0.71 (p<0.0001) of Italian patients, after adjustment for different demographic factors and comorbidities [16].
In our work the RR of mortality was 2.91 times higher in the presence of cardiovascular diseases. It is possible that some of the differences observed between countries may be related to the very different prevalence of cardiovascular diseases [17], which is by far the leading cause of death in HD patients. Hypothetically, 10,000 deaths could be avoided in the United States each year if the albumin level was higher than 38g/l in chronic HD patients [18].
However, there are other factors associated with high mortality in HD patients, including malnutrition which is a formidable but not unavoidable complication in chronic hemodialysis and is a major public health problem as evidence of numerous studies [19]. This protein-energy deficit is a determining factor in patients progressive prognosis and has a negative impact on their survival [6,8,9,20]. A French study of patients over 80 years old who started dialysis showed that good nutritional status, early management and good patient autonomy were associated with better survival at 12 months (87% versus 17%) in comparison with a group of patients malnourished and taken care of late [21]. The etiological factors involved are multiple, among which we quote; inappetence-anorexia, inflammatory processes, comorbidities and polymédication [19,20].
Although abnormal nutritional status is frequently reported in HD patients, unfortunately, there is no "gold standard" and universal marker of undernutrition [22]. However, different markers such as albumin serum, creatinine and Body Mass Index (BMI) have been correlated with increased mortality [23].
One of the first markers studied is albumin with a standard adopted by international companies of 38g/l measured by an immunonephelemetry method [24]. The exploration of the nutritional status, revealed that 77.27% of the deceased patients have an albumin level <38g/l which represents a percentage of 14.64% of our total population. This result is lower than what was found in the Kalantar-Zadehet study and all carried on 58.058 patients (19%) [25].
Many studies have shown that hypoalbuminemia is a good predictor of morbidity and mortality, a 10-year cohort study has indicated a high risk of mortality in HD patients with serum albumin levels below 3.8g/dl [26]. Our results show that malnourished patients have a mortality RR of 1.85 times higher than non-malnourished patients (albumin ≥38g/l) which aligns with data from the literature [27] Friedman and Fadem have shown that serum albumin levels should be used with caution as nutritional markers in patients with chronic kidney disease, because low levels of serum albumin in HD patients are known to be associated with malnutrition and inflammation [28].
It is very likely that much of the influence of nutritional biochemical parameters, particularly albumin, on the morbidity and mortality of dialysis is explained by the relationship between inflammation and these parameters [29]. It has been reported that in the presence of chronic inflammation, malnourished patients have very low albumin levels, a sign of severity of malnutrition or a reflection of resistance to treatment [15]. In our study, we also observed an inflammatory state in 56.87% of patients characterized by serum CRP concentration. The latter was very high among the deceased who were significantly older than the survivors. This is in agreement with the data from previous results of our team [14]. The involvement of inflammatory processes is associated with significant morbidity and mortality, Kaysen et al. showed for the first time that CRP was frequently elevated in dialysis patients, with a very strong negative correlation with markers of nutritional status [30]. Other teams have largely confirmed this significant prevalence of chronic inflammation in this population. This chronic inflammatory state is associated with various complications, including increased anemia secondary to CKD and impaired nutritional status [31].
These data are similar to older studies that have shown a greater frequency of cardiovascular damage in cases of hypoalbuminemia [32], illustrating the relationship between chronic inflammation, impaired nutritional status, cardiovascular morbidity and mortality that led to propose the name of syndrome "MIA" for Malnutrition -Inflammation -Artherosclerosis [29]. In addition, the results of the current study showed no significant difference between BMI and survival in patients undergoing hemodialysis (P=0.654). In the overall population, there is a significant association between BMI and  Treatment and early management of these factors are essential to reduce mortality in our patients. Table 1: clinical and biological characteristics of the study population