Benefits and risks of essential trace elements in chronic kidney disease: a narrative review

Speciation, contamination, and risk assessment of potentially toxic elements in soils from mining and non-mining areas in Ghana

Using a sequential extraction scheme, this study investigated the fractions of metals, including As, Cd, Cr, Cu, Hg, Pb, and Zn, in soils from two mining areas (Amansie and Konongo) and a non-mining community (Mampong) in Ghana. The elements were fractionated into exchangeable, carbonate-bound, reducible, oxidizable, and residual forms to assess their mobility and bioavailability. The results showed that Cd, Hg, and Zn had the highest proportions in the mobile fractions (exchangeable and acid-soluble), with Cd in Amansie soil exhibiting 40.67% (2.92 mg/kg) in the exchangeable fraction and 48.97% (3.52 mg/kg) in the acid-soluble fraction, indicating high bioavailability. Enrichment factor (EF) analysis revealed moderate to significant enrichment of Pb, Cd, and Hg in the mining areas (EF > 5), while geo-accumulation index (Igeo) calculations indicated moderate contamination of Pb and Hg in Amansie and Konongo. Ecological risk assessment identified Amansie as posing the highest potential ecological risk (Risk Index = 215), with moderate risks in Konongo (Risk Index = 177) and Mampong (Risk Index = 129). Health risk analysis found low non-carcinogenic risks (Hazard Index < 1) but a potential lifetime cancer risk for children due to Cr exposure. Positive Matrix Factorization identified mining, agriculture, vehicular emissions, and geogenic processes as key sources of soil contamination. These findings highlight the need for policies to regulate mining, encourage sustainable agriculture, and implement soil remediation.

Do probiotics and iron supplementation have any impact on element distribution in rat kidneys? - bioimaging by laser ablation inductively coupled plasma mass spectrometry

This study investigates the influence of multistrain probiotics and iron supplementation on the distribution and interaction of trace elements in the kidneys of Wistar rats using laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) bioimaging. Forty 6-week-old female Wistar rats were divided into five groups, each fed an AIN-93 M diet with varying additions or deficiencies of iron and probiotics, which included a control, an iron-deficient diet, an iron-deficient diet with probiotics, an iron-deficient diet with iron supplementation, and an iron-deficient diet with both probiotics and iron supplementation. The obtained two-dimensional maps of the distribution of elements reveal distinct locations of Cu, Fe, Mn, and Zn in specific tissues of rat kidneys. Specifically, Cu and Fe were co-localized in the renal cortex, while Zn was mostly absent from regions where Cu and Fe accumulated. Fe supplementation alone increased Fe in the renal cortex, while probiotics enhanced this effect, suggesting a synergistic role in Fe absorption. The total content of elements in the kidneys of all groups was determined after digestion: Cu 13.3-24.7 mg kg-1, Fe 218-509 mg kg-1, Mn 0.87-1.29 mg kg-1, and Zn 28.6-40.1 mg kg-1. Competitive interactions among Cu, Fe, and Zn were observed, with probiotics modulating their concentrations and distribution, highlighting their role in trace element homeostasis. Our research provides insights into the interactions between dietary supplements, probiotics, and trace element distribution in kidneys, paving the way for targeted nutritional interventions. This study highlights the need for further research on trace element functions in organisms and their impact on health.

Role of urinary trace elements in diabetic kidney disease: a cross-sectional analysis

INTRODUCTION

The balance of trace elements plays an important role in diabetic kidney disease (DKD) patients. However, studies on the differences in urinary trace elements across different DKD stages are scarce. This study aimed to explore the associations between nine essential trace elements and DKD.

RESEARCH DESIGN AND METHODS

This cross-sectional analysis included 830 diabetic patients. Participants were classified into non-DKD (NDKD) and DKD, the latter was further grouped into mid and end DKD based on estimated glomerular filtration rate (eGFR), and the case and control were matched based on age and sex. The concentration of urinary trace elements was measured with inductively coupled plasma mass spectrometry.

RESULTS

Urinary concentrations of copper (Cu) and manganese (Mn) in DKD patients were significantly higher than that of NDKD patients, whereas that of iron (Fe), cobalt, selenium, and nickel (Ni) of DKD were lower. Positive correlations between urinary Mn/Cu and the risk of mid-stage and end-stage DKD were revealed by conditional logistic regression, while Fe and Ni were negatively associated with the risk of DKD. In mixed effect analyses, no significant trend was found for joint trace element exposure and risk of mid DKD, while negative associations between combined effects of trace elements and the risk of end DKD were observed.

CONCLUSIONS

This study revealed different associations between trace elements and the risk of mid and end DKD using both single and mixture effect modeling. The results suggested that the urinary trace element profile might be associated with the progression of DKD, which provides important insights for understanding the pathogenesis of DKD and developing individualized nutritive management strategies.

Associations between serum mineral concentrations and mortality by renal function in the Ludwigshafen Risk and Cardiovascular Health Study

The association of serum concentrations of minerals and phosphate with overall and cardiovascular mortality based on renal function is poorly understood. 3307 patients (average age 62.7 ± 10.6 years) in the Ludwigshafen Risk and Cardiovascular Health (LURIC) study were grouped by estimated glomerular filtration rate (eGFR) into three categories: < 60, 60-89, and ≥ 90 mL/min per 1.73 m2, per KDIGO 2022 guidelines and were analysed using Cox regression. Low serum sodium and iron concentrations were associated with poor renal function and increased overall mortality risk, whereas higher serum zinc concentrations were associated with reduced overall and cardiovascular mortality risk. Elevated serum copper concentrations were associated with increased mortality risk across all eGFR categories. Comparing low and normal eGFR, we observed a fourfold increase in all-cause mortality risk for eGFR < 60 mL/min per 1.73 m2 and a twofold increase for eGFR 60-89 mL/min per 1.73 m2, accompanied by changes in serum mineral concentrations. The optimal range of mineral and phosphate concentrations in serum was strongly related to renal function. To reduce mortality risk, it's important to regularly monitor serum mineral and phosphate concentrations as well as renal function, especially in cardiovascular patients with compromised renal function.

Advanced Low-Cost Technology for Assessing Metal Accumulation in the Body of a Metropolitan Resident Based on a Neural Network Model

This study is devoted to creating a neural network technology for assessing metal accumulation in the body of a metropolis resident with short-term and long-term intake from anthropogenic sources. Direct assessment of metal retention in the human body is virtually impossible due to the many internal mechanisms that ensure the kinetics of metals and the wide variety of organs, tissues, cellular structures, and secretions that ensure their functional redistribution, transport, and cumulation. We have developed an intelligent multi-neural network model capable of calculating the content of metals in the human body based on data on their environmental content. The model is two interconnected neural networks trained on actual measurement data. Since metals enter the body from the environment, the predictors of the model are metal content in drinking water and soil. In this case, water characterizes the short-term impact on the organism, and drinking water, combined with metal contents in soil, is a depository medium that accumulates metals from anthropogenic sources-the long-term impact. In addition, human physiological characteristics are taken into account in the calculations. Each period of exposure is taken into account by its neural network. Two variants of the model are proposed: open loop, where the calculation is performed by each neural network separately, and closed loop, where neural networks work together. The model built in this way was trained and tested on the data of real laboratory studies of 242 people living in different districts of Kazan. As a result, the accuracy of the neural network block for calculating long-term impact was 90% and higher, and the accuracy of the block for calculating short-term impact was 92% and higher. The closed double-loop model showed an accuracy of at least 96%. Conclusions: Our proposed method of assessing and quantifying metal accumulation in the body has high accuracy and reliability. It does not require expensive laboratory tests and allows quantifying the body's metal accumulation content based on readily available information. The calculation results can be used as a tool for clinical diagnostics and operational and planned management to reduce the levels of polymetallic contamination in urban areas.

Plasma metals, genetic risk, and rapid kidney function decline among type 2 diabetes

BACKGROUND

Rapid kidney function decline (RKFD) is a main clinical feature of early chronic kidney disease (CKD) in type 2 diabetes (T2D). Environmental and genetic factors influencing RKFD remain inadequately elucidated.

OBJECTIVES

This study aimed to examine the associations of metals with RKFD among T2D and to further investigate the effect of metal mixtures on RKFD with the modifying effect of genetic susceptibility.

METHODS

This study included 2209 people with T2D (1942 had genotyping data) free of CKD at baseline from the Dongfeng-Tongji cohort. We used inductively coupled plasma-mass spectrometry (ICP-MS) to measure 23 metals in baseline plasma. Using elastic net (ENET), multivariate logistic regression, and Bayesian kernel machine regression (BKMR) model, we examined independent associations of multiple metals with RKFD. We calculated the environmental risk score (ERS) to assess the effects of metal mixtures on RKFD and the genetic risk score (GRS) to assess genetic susceptibility. RKFD was defined as estimated glomerular filtration rate (eGFR) loss > 3 mL/min/1.73 m2/year.

RESULTS

During a median of 9.8 years follow-up, 262 participants developed RKFD. Aluminum, vanadium, zinc, selenium, rubidium, tin, barium, and tungsten were screened from ENET. In multivariate logistic models, vanadium, selenium, and tungsten were negatively associated with RKFD, while zinc, tin, and rubidium were positively associated. The BKMR showed a nonlinear association of vanadium and rubidium with RKFD and interactions between metals (barium‑vanadium, barium‑rubidium). The ERS was positive associated with RKFD (per SD increase in ERS, OR = 1.94, 95% CI: 1.66, 2.27). No significant interaction between ERS and GRS was observed on RKFD, however, participants in the highest ERS and GRS group had the highest RKFD risk.

CONCLUSION

Vanadium and rubidium were associated with RKFD in T2D. Metal mixtures was associated with an increased risk of RKFD in T2D, particularly in those at high genetic risk.

Brazil nut-enriched diet modulates bone mineral density and body composition in an experimental model of chronic kidney disease

OBJECTIVE

This study investigates the effects of a Brazil nut-enriched diet on body composition and bone parameters in CKD animal model.

METHODS

Male Wistar rats were assigned to the following groups: Sham (n=8), Nx (n=6), nephrectomized rats, and NxBN (n=6), nephrectomized rats and an enricheddiet with 5% Brazil nut. Body composition parameters were obtained by dual-energy X- ray absorptiometry (DXA). Bioclin kits determined plasmatic calcium. The femurs werecollected to determine absolute mass and length, bone mineral density, and biomechanical tests.

RESULTS

The NxBN group exhibited a higher total body bone mineral density (BMD) value than the Nx group (0.177±0.004g/cm2vs 0,169±0.003g/cm2; p=0.0397). No significant differences were observed regarding absolute mass, length, BMD, and biomechanical parameters in the femurs of the groups. Moreover, no significant differences were found in plasmatic calcium levels among the groups.

CONCLUSIONS

Brazil-nut enriched diet modulated BMD in CKD experimental model, and further studies are demanded to understand the pathways involved in this finding.

Urinary concentrations of mineral elements and their predictors in pregnant women in Jinan, China

BACKGROUND

The essential mineral elements play important roles in proper growth, development and maintenance of physiological homeostasis of an organism. Women are at greater risk of mineral deficiency during pregnancy. However, the predictors of mineral element levels in pregnant women remain unclear. This study was conducted to determine the urinary levels of calcium (Ca), iron (Fe), copper (Cu), manganese (Mn) and selenium (Se) in women during early pregnancy and to explore the predictors of urinary exposure to each mineral element and high co-exposure to mineral element mixture.

METHODS

298 pregnant women in first trimester were recruited when they attended antenatal care in a hospital in Jinan, Shandong Province, China. We collected their spot urine samples and questionnaire data on their sociodemographic characteristics, lifestyle habits, food and dietary supplement intake, and residential environment. The concentrations of Ca, Fe, Cu, Mn and Se in all urine samples were measured. LASSO regression, multiple linear regression and binary logistic regression were used to analyze the predictors affecting mineral element levels.

RESULTS

The geometric means of creatinine-corrected Ca, Fe, Cu, Mn and Se concentrations were 99.37 mg/g, 1.75 µg/g, 8.97 µg/g, 0.16 µg/g and 16.83 µg/g creatinine, respectively. Factors that influenced the concentrations of individual mineral element were as follows: (1) Se and Ca concentrations increased with maternal age; (2) women taking tap water as family drinking water had higher Ca levels and those taking polyunsaturated fatty acids intermittently had higher Cu levels; (3) Fe was adversely related to consumption frequency of barbecued foods; (4) Pregnant women with more frequent consumption of shellfish/shrimp/crab and living near green spaces or parks had higher Mn exposure, and those with higher frequency of meat consumption had lower Mn exposure. In addition, maternal age and the frequency of egg consumption were associated with odds of exposure to a mixture of high Ca, Fe, Cu and Se.

CONCLUSIONS

The pregnant women in this study had comparable concentrations of urinary Cu and Se but lower concentrations of Ca, Fe and Mn compared with those in other areas. Predictors of urinary mineral elements included maternal age (Se and Ca), type of domestic drinking water (Ca), consumption frequency of barbecued food (Fe), polyunsaturated fatty acid use (Cu), the presence of urban green spaces or parks near the home and frequency of meat and shellfish/shrimp/crab intake (Mn). Moreover, maternal age and egg consumption frequency were significant predictors of high-level co-exposure to urinary Ca, Fe, Cu and Se.

Assessment of essential and toxic trace element levels in erythrocytes of hemodialysis patients with end-stage renal disease

BACKGROUND

Chronic kidney disease (CKD) is a global public health problem, resulting in end-stage kidney disease, cardiovascular disease, and premature death.

AIM

The aim of the study was to determine the profile of essential and toxic trace elements in erythrocytes of patients with end-stage renal disease (ESRD) and their relationship with selected anthropometric and biochemical parameters.

METHODS

The present study compared the profiles of trace elements, including toxic sub-stances, in the erythrocytes of 80 hemodialysis patients with CKD with 40 healthy subjects. All patients had stage 5 CKD. The levels of Cd and Pb were determined by graphite furnace atomic absorption spectrometry and levels of Fe, Mn, Zn, Cu Cr, Ni, and Li by inductively coupled plasma atomic emission spectrometry.

RESULTS

The ESRD patients demonstrated significantly lower Fe and Zn concentrations and significantly higher Mn and Li and toxic Pb and Cd concentrations in erythrocytes compared to those of the healthy controls. Negative correlations were observed, among others, between the concentrations of Cu, Li, and creatinine; Cu and phosphates; Mn, Pb, and transferrin saturation while positive correlations were noted between Cu, Cr, and transferrin and Pb, Cr, and the normalized protein catabolism rate.

CONCLUSIONS

The higher concentrations of toxic elements present in the erythrocytes of CKD patients might have resulted from the reduced ability of the kidneys to excrete them. Moreover, differences in the concentrations of essential elements (Fe, Mn, Zn) between the two groups indicated that their resorption in the kidneys of CKD patients was impaired. Patients with CKD might benefit from interventions intended to reduce high, toxic concentrations of Pb and Cd and Li and Mn as an alternative supportive treatment. Iron and zinc supplementation should be a component for the treatment of anemia in CKD patients.

Evaluation of lipid profile, liver function enzymes, and trace elements in Iraqi diabetic nephropathy patients

Diabetic nephropathy, a common complication of type 2 diabetes (T2DM), is associated with abnormal lipid profiles, liver dysfunction, and kidney impairment. However, research on its association with trace elements in Iraqi patients is limited. The objective of the present study is to evaluate the association between lipid profile, liver function, and trace elements in diabetic nephropathy (DN) patients. In this study, 120 individuals were selected. Sixty of these individuals were labeled as the DN patient group, and 60 individuals were labeled as the healthy control group. A flame atomic absorption spectrophotometer (FAAS) was utilized to assess the levels of zinc (Zn), copper (Cu), and magnesium (Mg), whereas a flameless atomic absorption (FAA) was used to assess manganese (Mn). A colorimetric method was used based on the protocols included in the leaflets by Spinreact kits to determine the levels of lipid profiles and liver function enzymes in the serum. The mean value of high-density lipoprotein (HDL) decreased significantly in the DN patient group compared to the control group (p < 0.001) while cholesterol and low-density lipoprotein (LDL) decreased insignificantly. Conversely, the mean value of triglycerides (TGs) increased significantly in patient group ((p < 0.001) while very low-density lipoprotein (VLDL) increased insignificantly. On the other hand, the mean values of aspartate aminotransferase (AST), alanine transferase (ALT), alkaline phosphatase (ALP), and γ- glutamyl transferase (GGT) were significantly greater in DN patients compared to the healthy controls. Conversely, the mean values of total protein (TP) and albumin (Alb) were significantly lower in the DN patient group. In terms of trace elements, the mean values of Zn, Mg, and Mn were significantly lower in each of the patient groups compared to the healthy group. Conversely, a significant elevation in the means of Cu and Fe was observed in patients compared to the healthy group. Additionally, the findings revealed no association between BMI and lipid profile, liver enzymes, or trace elements. However, an association with age was limited to TGs, ALP, and GGT. The study's results show that the DN patients have abnormalities in their serum trace element levels. This means that these elements could be valuable indicators for monitoring and assessing the progression of DN. Understanding the correlation between lipid profile, liver function, and trace elements could offer valuable insights for managing and preventing diabetic nephropathy. More extensive studies, including an additional group of DM patients without nephropathy complications, are required, and could be used in practice due to the progression of the disease.

Habitual Iron Supplementation Associated with Elevated Risk of Chronic Kidney Disease in Individuals with Antihypertensive Medication

The aim of this study was to examine the effects of habitual iron supplementation on the risk of CKD in individuals with different hypertensive statuses and antihypertension treatment statuses. We included a total of 427,939 participants in the UK Biobank study, who were free of CKD and with complete data on blood pressure at baseline. Cox proportional hazards regression models were used to examine the adjusted hazard ratios of habitual iron supplementation for CKD risk. After multivariable adjustment, habitual iron supplementation was found to be associated with a significantly higher risk of incident CKD in hypertensive participants (HR 1.12, 95% CI 1.02 to 1.22), particularly in those using antihypertensive medication (HR 1.21, 95% CI 1.08 to 1.35). In contrast, there was no significant association either in normotensive participants (HR 1.06, 95% CI 0.94 to 1.20) or in hypertensive participants without antihypertensive medication (HR 1.02, 95% CI 0.90 to 1.17). Consistently, significant multiplicative and additive interactions were observed between habitual iron supplementation and antihypertensive medication on the risk of incident CKD (p all interaction < 0.05). In conclusion, habitual iron supplementation was related to a higher risk of incident CKD among hypertensive patients, the association might be driven by the use of antihypertensive medication.

Plasma levels and dietary intake of minerals in patients with type 2 diabetes and chronic kidney disease: A case-control study

BACKGROUND AND AIM

Diabetic kidney disease (DKD) is the primary cause of chronic kidney disease (CKD) worldwide. Altered mineral levels leading to adverse outcomes are widely reported in diabetes but limited in DKD, in the Indian scenario, hence this study was taken up to address this issue.

METHODS

A hospital-based case-control study was taken up with 54 healthy controls (C) and 140 subjects with type 2 diabetes wherein 74 subjects with diabetes and CKD formed the DKD group, and 66 subjects with diabetes but no CKD formed the diabetic no-chronic kidney disease (DNCKD) group. High-resolution inductively coupled plasma mass spectrometry was used to evaluate the blood levels of minerals (calcium (Ca), vanadium (V), chromium (Cr), manganese (Mn), iron (Fe), cobalt (Co), copper (Cu), zinc (Zn), and selenium (Se)), and a raw food-based food frequency questionnaire for dietary intakes. Estimated glomerular filtration rate (eGFR) was calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation (mL/min/1.73 m2) and albuminuria. Spearman's rank correlation was used to evaluate the relationship between the categorical variables.

RESULTS

The median values of plasma Ca in the DKD group were significantly lower compared with the DNCKD and C groups (10.5 mg/dL vs. 11.0 mg/dL and 11.7 mg/dL, p<0.001). Furthermore, plasma Ca levels lowered with declining kidney function, as evidenced by the eGFR and albuminuria segregation. Dietary intake of minerals did not correlate with the corresponding plasma levels. However, in the DKD group, eGFR correlated positively with the plasma levels of Ca (r= 0.422, p=0.001), Cr (r= 0.351, p=0.008), Mn (r= 0.338, p=0.011), Fe (r= 0.403, p=0.002), Cu (r= 0.274, p=0.041) and negatively with Se (r= -0.486, p<0.001).

CONCLUSION

Plasma Ca levels are lower in the DKD group with a strong positive association with eGFR, indicating its role in predicting the onset and progression of kidney function decline.

Low serum manganese as a noninvasive marker predicting the presence of myosteatosis among hospitalized patients with cirrhosis

Emerging evidence expands on a close connection between trace elements and muscular abnormalities, mostly focusing on sarcopenia. We hypothesized an association between concentrations of serum trace elements and myosteatosis, given that myosteatosis has a more pronounced clinical implication relative to sarcopenia, but there is a paucity of data in patients with cirrhosis. Consecutive patients were hospitalized for cirrhosis-associated complications. Serum trace elements (zinc, copper, manganese [Mn], magnesium, calcium, and iron) were measured by inductively coupled plasma mass spectrometry. The presence of myosteatosis was defined according to computed tomography-demarcated intramuscular adipose tissue content. In total, the 295 patients with cirrhosis analyzed had a median age of 63 years and 53.6% were male. Among them, 42 patients presented with myosteatosis (14.2%) and concomitant higher Model for End-stage Liver Disease-Sodium and triglyceride concentrations and lower neutrophil counts and serum Mn concentrations (all P < .05). No differences were found regarding other 5 trace elements in patients with versus without myosteatosis. The median serum Mn concentrations were 1.16 µg/L, and this population was categorized into high-Mn and low-Mn groups. The proportion of myosteatosis was significantly lower in high-Mn group than that in low-Mn group (8.1% vs 20.4%, P < .001). Univariable binary logistic regression indicated that low Mn was associated with myosteatosis (odds ratio, 2.906; 95% confidence interval, 1.424-5.932; P = .003) in the context of cirrhosis. This result was validated according to multivariable analysis by adjusting for confounding factors. In conclusion, low serum Mn can be predictive of myosteatosis, a novel muscular abnormality representing more clinical relevance and close relation to inferior outcomes among cirrhosis.

Associations among environmental exposure to trace elements and biomarkers of early kidney damage in the pediatric population

BACKGROUND

In kidney damage, molecular changes can be used as early damage kidney biomarkers, such as Kidney Injury Molecule-1 and Neutrophil gelatinase-associated lipocalin. These biomarkers are associated with toxic metal exposure or disturbed homeostasis of trace elements, which might lead to serious health hazards. This study aimed to evaluate the relationship between exposure to trace elements and early damage kidney biomarkers in a pediatric population.

METHODS

In Tlaxcala, a cross-sectional study was conducted on 914 healthy individuals. The participants underwent a medical review and a socio-environmental questionnaire. Five early damage kidney biomarkers were determined in the urine with Luminex, and molybdenum, copper, selenium, nickel, and iodine were measured with ICP-Mass.

RESULTS

The eGFR showed a median of 103.75 mL/min/1.73 m2. The median levels for molybdenum, copper, selenium, nickel, and iodine were 24.73 ng/mL, 73.35 ng/mL, 4.78 ng/mL, 83.68 ng/mL, and 361.83 ng/mL, respectively. Except for molybdenum and nickel, the other trace elements had significant associations with the eGFR and the early kidney damage biomarkers. Additionally, we report the association of different exposure scenarios with renal parameters.

DISCUSSION

and Conclusions. Among the explored metals, exposure to Cu and iodine impairs renal function. In contrast, Se may manifest as a beneficial metal. Interactions of Mo-Se and Mo-Iodine seem to alter the expression of NGAL; Mo-Cu for CLU; Mo-Cu, Mo-Se, and Mo-iodine for Cys-C and a-1MG; and Mo-Cu and Mo-iodine for KIM-1; were noticed. Our study could suggest that trace element interactions were associated with early kidney damage biomarkers.

Role of Nutrients in Pediatric Non-Dialysis Chronic Kidney Disease: From Pathogenesis to Correct Supplementation

Nutrition management is fundamental for children with chronic kidney disease (CKD). Fluid balance and low-protein and low-sodium diets are the more stressed fields from a nutritional point of view. At the same time, the role of micronutrients is often underestimated. Starting from the causes that could lead to potential micronutrient deficiencies in these patients, this review considers all micronutrients that could be administered in CKD to improve the prognosis of this disease.

Association between Iron Status and Survival in Patients on Chronic Hemodialysis

The aim of this study was to evaluate survival rates according to iron status in patients undergoing maintenance hemodialysis (HD). Thus, the National HD Quality Assessment Program dataset and claims data were used for analysis (n = 42,390). The patients were divided into four groups according to their transferrin saturation rate and serum ferritin levels: Group 1 (n = 34,539, normal iron status); Group 2 (n = 4476, absolute iron deficiency); Group 3 (n = 1719, functional iron deficiency); Group 4 (n = 1656, high iron status). Using univariate and multivariable analyses, Group 1 outperformed the three other groups in terms of patient survival. Using univariate analysis, although Group 2 showed a favorable trend in patient survival rates compared with Groups 3 and 4, the statistical significance was weak. Group 3 exhibited similar patient survival rates to Group 4. Using multivariable Cox regression analysis, Group 2 had similar patient survival rates to Group 3. Subgroup analyses according to sex, diabetic status, hemoglobin level ≥ 10 g/dL, and serum albumin levels ≥ 3.5 g/dL indicated similar trends to those of the total cohort. However, subgroup analysis based on patients with a hemoglobin level < 10 g/dL or serum albumin levels < 3.5 g/dL showed a weak statistical significant difference compared with those with hemoglobin level ≥ 10 g/dL, or serum albumin levels ≥ 3.5 g/dL. In addition, the survival difference between Group 4 and other groups was greater in old patients than in young ones. Patients with a normal iron status had the highest survival rates. Patient survival rates were similar or differed only modestly among the groups with abnormal iron status. In addition, most subgroup analyses revealed similar trends to those according to the total cohort. However, subgroup analyses based on age, hemoglobin, or serum albumin levels showed different trends.