Abnormal Calcium Metabolism Mediated Increased Risk of Cardiovascular Events Estimated by High Ankle-Brachial Index in Patients on Peritoneal Dialysis
Xiaoyan Su1† 
Wanbing He
Mengbi Zhang
Yinyin Zhang
Langjing Zhu
Hui Huang- 1Department of Nephrology, Dongguan Tungwah Hospital, Dongguan, China
- 2Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- 3Department of Nephrology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
- 4Department of Radiation Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- 5Department of Cardiology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
Cardiovascular disease (CVD) is the leading cause of death in peritoneal dialysis (PD) patients. But the relationship between regular PD and the risk of major adverse cardiovascular events (MACE) remains controversial. The possible risk factors are not fully elucidated. This study aims to investigate the possible factors affecting the risk of MACE estimated by high ankle-brachial index (ABI) in PD patients. A total of 243 patients were enrolled and divided into chronic kidney diseases (CKD) stage 1, non-dialyzed CKD stages 2–5, and PD groups. The prevalence of high ABI, indicating increased MACE, was elevated with CKD progression but not further increased in PD patients. Systolic blood pressure was closely correlated with high ABI in non-dialyzed CKD patients (β = 0.059, P = 0.001). But in PD patients, serum calcium had a crucial effect on high ABI (β = −9.853, P < 0.001). Additionally, PD patients with high ABI tended to dialyze inadequately (Kt/V <1.7) compared to those with normal ABI (29.0 vs. 13.3%, P = 0.031). Further mediation analysis revealed that ~86.2% of the relationship between Kt/V and high ABI was mediated by serum calcium in PD patients (mediation effect = 86.2%, ab = −0.220, 95% CI: −0.381 to −0.059, P = 0.008), especially in those starting PD before 55 years of age and with normal body mass index. This present study indicated that improvement of PD adequacy by maintaining calcium balance might be a promising method to reduce the risk of MACE estimated by high ABI for PD patients.
Introduction
Chronic kidney disease (CKD) is a substantial burden threatening global health (1). Among the causes of death, cardiovascular disease (CVD) is still the leading one of CKD death, which is increased with the development of CKD stages and is even up to 10–20 times higher in dialysis patients than in the general population (2, 3). Therefore, CVD prevention is important for CKD, especially for patients on dialysis. Since traditional risk factors such as hypertension and hypercholesterolemia cannot fully explain the high mortality of CVD in the CKD population, untraditional risk factors, especially vascular calcification (VC), have caused great concern recently (4). Defined as the deposition of extraosseous calcium (Ca) in the vasculature, VC is a common complication in CKD patients (5). Studies have demonstrated that VC is strongly associated with CVD mortality in patients with CKD (6–8). Ankle-brachial index (ABI) is a simple and non-invasive method widely used in clinical practice to identify peripheral artery disease. High ABI (>1.3) indicates artery stiffness and has a close relationship with VC. It is reported that high ABI is independently associated with major adverse cardiac events (MACE) (9, 10), but remain unclear in dialysis patients. Adragao et al. reported that CKD patients with high ABI exhibited nearly 7-fold higher risk of cardiovascular mortality (11). Therefore, ABI is a promising indicator for VC and provides a better portable CVD risk assessment in CKD patients.
The state of uremic milieu is shown to be involved in the development of VC (5). However, patients with different CKD stages have different risk factors for VC development (12). Especially for dialysis patients, besides the common risk factors similar to non-dialyzed patients, other factors like hemodynamic stability and mineral metabolism also play important roles in VC as well (11, 13). Peritoneal dialysis (PD) is considered a relatively better choice for patients with end-stage renal disease than hemodialysis (HD) as its preference for hemodynamic stability and volume regulation (13). Regular PD is demonstrated to reduce mortality, but its effect on cardiovascular risks remains controversial (14). Moreover, the possible risk factors are not fully elucidated.
Therefore, we conducted a cross-sectional study to explore the risk factors affecting the risk of MACE evaluated by ABI among patients with different CKD stages or PD treatment. Then, we further investigated the possible mediators for high ABI in PD patients and sought possible strategies.
Methods
Study Population
This was a single-center observational study of consecutive CKD patients who were referred to the Tungwah Hospital of Sun Yat-sen University between November 2015 and November 2016. A total of 243 patients were enrolled in this study. All patients must undergo the ABI test.
The e-GFR of all included patients were calculated based on CKD-EPI equation (15). According to the CKD diagnostic criteria, patients were divided into three groups based on their e-GFR levels (1). Patients with the estimated-glomerular filtration rate (e-GFR) <15 mL/min per 1.73 m2 and receiving the regular continuous ambulatory peritoneal dialysis (CAPD) treatment for more than 3 months were defined as the PD group. Initiation of dialysis usually depended on the patient's preferences and medical necessity. It will be considered when one or more of the following are present: symptoms or signs attributable to kidney failure (e.g., neurological signs and symptoms attributable to uremia, pericarditis, anorexia, medically resistant acid-base or electrolyte abnormalities, reduced energy level, weight loss with no other potential explanation, intractable pruritus, or bleeding); inability to control volume status or blood pressure; and a progressive deterioration in nutritional status refractory to interventions (16, 17). Non-dialyzed patients with e-GFR <90 mL/min per 1.73 m2 were defined as non-dialyzed CKD stages 2–5 group, and the other patients who had the evidence of renal structural or functional abnormalities but e-GFR ≥ 90 mL/min per 1.73 m2 were defined as CKD stage 1 group.
Clinical data were extracted from the hospital database. Individuals with age <20 years, familial hyperlipidemia, severe hepatic dysfunction, carcinoma, potential infectious or inflammatory diseases, autoimmune diseases, peripheral artery disease, corticosteroid therapy, either one leg with ABI ≤ 0.9 were excluded from this study. In the PD group, patients who had peritonitis in the past 3 months and cannot receive CAPD should be excluded.
The study protocol conformed to the ethical guidelines of the 1975 Declaration of Helsinki as reflected in a priori approval by the Ethics Committee of the Tungwah Hospital of Sun Yat-sen University. Informed consent was obtained from each participant.
Laboratory Parameters
Laboratory parameters were all measured by using blood samples. Each patient should fast overnight for at least 10 h before venipuncture. Biochemical parameters, Ca, serum phosphorus (P), creatinine, alkaline phosphatase (ALP), fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglyceride (TG), cystatin C (CysC), etc. were analyzed by a standardized and certified TBA-120 auto-analyzer (Toshiba Medical Systems, Japan) in the institutional central laboratory.
Dialysis Adequacy
To estimate dialysis adequacy, weekly Kt/V was calculated based on 24-h urine performed prior to the scheduled visit to the PD unit. Weekly Kt/V values were calculated according to the standard method recommended in the kidney disease outcomes quality initiative guidelines (18). The cut-off value of Kt/V was 1.7, as recommended by K/DOQI guidelines (19). Kt/V ≥ 1.7 indicated adequate PD while Kt/V <1.7 indicated insufficient PD.
Measurement of ABI
Ankle-brachial index was measured by a non-invasive vascular screening device (VP-1000, OMRON, Japan) that was reported before (20, 21).
Definition of Adverse Cardiovascular Events
History of adverse cardiovascular events was collected including cardiac death, coronary heart disease (CHD), congestive heart failure (CHF), acute myocardial infarction (AMI), and acute cerebral infarction (ACI). CHD was defined as ≥50% diameter stenosis of coronary arteries by either coronary angiography or CT angiography (22). CHF was diagnosed according to 2016 ESC Guidelines for the diagnosis and treatment of chronic heart failure (23). AMI was diagnosed according to 2015 ESC Guidelines for the management of acute coronary syndromes (24). ACI was defined as an acute neurological event lasting more than 24 h associated with the evidence of ischemic focus of the brain in computer tomography or magnetic resonance imaging. Cardiac death was defined as death caused by AMI, arrhythmias, or CHF. The combination of CHD, CHF, AMI, ACI, and cardiac death was defined as MACE in this study.
Statistical Analysis
Data were presented as frequencies for categorical variables, mean values with standard deviation (SD) for normally distributed continuous variables, and median values with 25 and 75% percentiles for ordinal variables. The group differences among different CKD-stage groups were assessed by the analysis of variance (ANOVA) or Pearson chi-square according to the data types. Independent risk factors for high ABI were identified by binary logistic regression with the forward conditional method.
Mediation analysis was conducted to explore the mediator of the relationship between age, e-GFR or Kt/V, and high ABI. Mediation existed when four conditions were met: first, the predictor (in this case age, e-GFR or Kt/V) must have a significant relationship with the outcome variable (high ABI) in pathway c; second, the predictor must also have a significant relationship with the potential mediators in pathway a; third, the mediator must have a significant relationship with the outcome when the effect of the predictor on the outcome was controlled for pathway b; fourth, the relationship between predictor and outcome must be decreased (lower than in pathway c) when controlling for the mediators in pathway c′. If the predictor remained significant when the mediator was controlled for, the mediation was considered partial. When controlling for the mediator rendered the predictor non-significant, mediation was considered complete. In this article, both ABI (ABI ≥ 1.3 as 1 and 0.9 < ABI <1.3 as 0) and Kt/V (Kt/V ≥ 1.70 as 1 and <1.70 as 0) were dichotomous variances while age, e-GFR, and all mediators were continuous. Ordinary least squares regression or logistic regression might be chosen according to the types of variances. Therefore, the parameter estimates a, b, c, c′ and their standard errors calculated above must be standardized according to the methods suggested by MacKinnon. Then the indirect effect was calculated by standardized parameters and tested for significance by the Sober test. The mediated effect size was also evaluated by a formula ab/(ab + c′), where a, b, and c' were all standardized (25).
All statistical analyses were performed using the software SPSS version 22.0 (SPSS, Inc, Chicago, IL), and 2-sided P-values <0.05 were considered statistically significant.
Results
Comparison of Clinical Characteristics Among CKD Stage 1, Non-dialyzed CKD Stages 2–5, and PD Groups
The clinical characteristics of CKD stage 1, non-dialyzed CKD stages 2–5, and PD groups are shown in Table 1. The PD patients tended to be smokers and exhibited higher rate of hypertension with higher blood pressure than the other groups (smoking: 39.5 vs. 9.1 vs. 7.7%, P < 0.001; hypertension: 87.7 vs. 48.1 vs. 64.9%, P < 0.001; SBP: 152 ± 21 mmHg vs. 135 ± 20 mmHg vs. 126 ± 23 mmHg, P < 0.01; and DBP: 89 ± 13 mmHg vs. 82 ± 15 mmHg vs. 82 ± 15 mmHg, P < 0.001). Moreover, the levels of P and CysC were increased with the elevation of CKD stages and reached the highest in PD patients (P: 1.10 ± 0.19 mmol/L vs. 1.11 ± 0.23 mmol/L vs. 1.73 ± 0.54 mmol/L, P < 0.001; CysC: 0.91 ± 0.21 mg/L vs. 1.53 ± 0.83 mg/L vs. 5.80 ± 1.54 mg/L, P < 0.001), while Ca showed the opposite trend (2.30 ± 0.14 mmol/L vs. 2.24 ± 0.22 mmol/L vs. 2.16 ± 0.24 mmol/L, P < 0.001). However, no significant differences were found in age, sex ratios, body mass index (BMI), prevalence of diabetes mellitus (DM), the levels of FPG, TC, HDL-C, LDL-C, and TG (P > 0.05) (Table 1).
Table 1. Clinical characteristics of non-dialyzed CKD stages 1–5 and PD patients.
The Prevalence of High ABI Was Increased With CKD Progression
Prevalence of high ABI was significantly different among CKD stage 1, non-dialyzed CKD stages 2–5, and PD groups (9.6 vs. 23.4 vs. 27.2%, P = 0.045) (Figure 1A). Non-dialyzed CKD stages 2–5 and PD patients shared similar prevalence of high ABI and both were higher than that of CKD stage 1 patients (non-dialyzed CKD stage 2–5 vs. CKD stage 1: P = 0.054; PD vs. CKD stage 1: P = 0.012; non-dialyzed CKD stage 2–5 vs. PD: P = 0.521; Figure 1A). Furthermore, about 50% of non-dialyzed patients with e-GFR <30 ml/min per 1.73 m2 had high ABI (Figure 1B). Interestingly, the prevalence tended to decrease in PD patients compared with those with similar e-GFR but without dialysis (e-GFR <30 ml/min per 1.73 m2: 50.0% vs. PD: 27.2%, P = 0.477) (Figure 1B). However, no significant difference was observed in ABI values among various groups or e-GFR levels. The results showed that high ABI occurred more frequently with the decrease of e-GFR but the prevalence was not further increased in PD patients.
Figure 1. The prevalence of high ABI in various CKD stages. (A) The rates of high ABI were similarly increased in non-dialyzed CDK stage 2–5 and PD groups compared with CKD stage 1. *P < 0.05 vs. CKD stage 1 group. (B) Similar upgraded trend of high ABI was shown in the decline of e-GFR. However, the prevalence of high ABI in PD patients was much lower than that in non-dialyzed CKD patients with e-GFR <30 ml/min per 1.73m2. *P < 0.05 vs. the group with e-GFR ≥ 90 ml/min per 1.73 m2; # P < 0.05 vs. the group with 60 ≤ e-GFR <90 ml/min per 1.73 m2; and & P < 0.05 vs. the group with 30 ≤ e-GFR <60 ml/min per 1.73 m2. ABI, ankle-brachial index; CKD, chronic kidney disease; e-GFR, estimated-glomerular filtration rate; PD, peritoneal dialysis.
Different Risk Factors Contributed to ABI Between PD and Non-dialyzed Patients
As known, high ABI has been reported to be associated with a high risk of adverse CVD in non-dialyzed patients (10). Our results showed that PD patients with high ABI also suffered more cardiac death, CHD, CHF, and total MACE than those with normal ABI (cardiac death: 40.0 vs. 10.0%, P < 0.001; CHD: 20.0 vs. 3.8%, P = 0.012; CHF: 70.0 vs. 20.0%, P < 0.001; MACE: 83.3 vs. 30.0%, P < 0.001) (Figure 2). The prevalence of AMI and ACI tended to be increased in the high ABI group than those in the normal ABI group, although the difference was not significant (AMI: 3.3% vs. 1.3%, P = 0.473; ACI: 10.0 vs. 7.5%, P = 0.702) (Figure 2). This indicated that high ABI was closely associated with a high prevalence of CVD in PD.
Figure 2. Comparison of the history of adverse cardiovascular events between the normal and high ABI groups in PD patients. The prevalence of cardiac death, CHD, and CHF (A–C), but not AMI and ACT (D,E), was significantly different between patients with normal and high ABI. A significant difference was also observed in the rate of MACE (F) between the two groups. *P < 0.05 vs. normal ABI group. ABI, ankle-brachial index; ACI, acute cerebral infarction; AMI, acute myocardial infarction; CHD, coronary heart disease; CHF, congestive heart failure; MACE, major adverse cardiac events.
To explore the possible risk factors affecting high ABI between PD and non-dialyzed CKD patients, binary logistic regression analysis was used. The results showed that TC was a risk factor for high ABI in CKD stage 1 group while SBP and DM were in the non-dialyzed CKD stages 2–5 group (TC: β = 4.305, SE = 1.747, P = 0.014; SBP: β = 0.058, SE = 0.018, P = 0.010; DM: β = 1.542, SE = 0.689, P = 0.025) (Table 2). In the PD group, both age and Ca were the risk factors for high ABI (age: β = 0.074, SE = 0.023, P = 0.001; Ca: β = −9.853, SE = 2.020, P < 0.001) (Table 2). Taken together, the results suggested that traditional cardiovascular risk factors contributed to high ABI in non-dialyzed CKD patients while the serum level of Ca played an important role in PD ones.
Table 2. The binary logistic regression analysis of the independent risk factors for high ABI.
The Mediation Effects of Serum Calcium on High ABI in CKD Patients
We further studied whether any mediators functioned in the association between e-GFR and high ABI in non-dialyzed CKD patients. As shown in Figure 3A, indirect effect of Ca was not significant in the relationship between e-GFR and ABI for non-dialyzed CKD patients (ab = −0.005, 95% CI: −0.390 to 0.022, P = 0.696). This result indicated that Ca did not act as a mediator in the relationship between e-GFR and high ABI in non-dialyzed CKD patients.
Figure 3. Mediation analysis on the association between e-GFR or Kt/V and ABI. (A) The mediation effect of serum calcium did not exist in the association between e-GFR and high ABI in non-dialyzed CKD patients. (B) Serum calcium mediated the association between Kt/V and high ABI in PD patients. ABI, ankle-brachial index; Ca, calcium; e-GFR, estimated-glomerular filtration rate; ME, mediation effect; SE, standard error.
For PD patients, e-GFR was no longer suitable for evaluating kidney function. Instead, Kt/V was usually used to estimate dialytic adequacy. Kt/V ≥ 1.7 indicated dialytic adequacy while Kt/V <1.7 suggested inadequacy. About 29% of PD patients with high ABI had Kt/V lower than 1.7, which was significantly higher than those with normal ABI (29.0 vs. 13.3%, P = 0.031) (Figure 4A). Moreover, PD patients with Kt/V <1.7 tended to have lower Ca level compared to those with Kt/V ≥ 1.7 (0.69 ± 0.122 vs. 0.78 ± 0.11, P = 0.001) (Figure 4B). As Ca was the risk factor for high ABI in PD patients, we explored whether Ca mediated the association between Kt/V and ABI in PD patients. In PD patients, especially over 30 years old, the indirect effect of Ca with Kt/V became significant (ab = −0.215, 95% CI: −0.371 to −0.059, P = 0.006). Moreover, the total effect of Kt/V on ABI became non-significant after including Ca in the model (total effect c = −0.224, P = 0.036; direct effect c' = −0.034, P = 0.734). This indicated that ~86.2% of the relationship between Kt/V and ABI was mediated by Ca. The finding showed that Ca acted as a mediator in the relationship between Kt/V and ABI in PD patients (Figure 3B). Further, we conducted a subgroup analysis to identify the PD subgroups with high ABI mediated by Ca. As shown in Figure 5, the mediated effect of Ca became significant in PD patients starting PD before 55 years of age (ME = 101.7%, ab = −0.263, 95% CI: −0.452 to −0.074, P = 0.006) (Figure 5C) and with normal BMI (ME = 75.3%, ab = −0.200, 95% CI: −0.369 to −0.031, P = 0.020) (Figure 5G). However, the mediating effect did not exist in other subgroups (all P > 0.05).
Figure 4. The relationship among adequacy dialysis and high ABI. (A) PD patient with high ABI tended to have Kt/V lower than 1.7 compared with those with normal value. *P < 0.05 vs. normal ABI group. (B) The level of serum calcium in PD patients with Kt/V ≥ 1.7 were relatively higher but within normal range. *P < 0.05 vs. Kt/V <1.7. ABI, ankle-brachial index; Ca, calcium.
Figure 5. Subgroup analysis of assessing the mediation effect of serum calcium. The mediation effect of serum calcium on the association between Kt/V and high ABI only existed in PD patients starting dialysis before 55 years of age (C) and with normal BMI (G). No mediation effect of serum calcium was observed in other subgroups (A,B,D–F,H–N). The number of patients in subgroups: age ≤ 55 y: n = 88, Age > 55 y: n = 26; 20 y ≤ start PD ≤ 55 y: n = 93, start PD > 20 y OR <50 y: n = 17; male: n = 73, female: n = 41; 18 kg/m2 ≤ BMI ≤ 25 kg/m2: n = 79, BMI <18 kg/m2 OR > 25 kg/m2: n = 31; smoking: n = 45, non-smoking: n = 69; DM: n = 16, non-DM: n = 98; hypertension: n = 100, non-hypertension: n = 14. ABI, ankle-brachial index; BMI, body mass index; Ca, calcium; DM, diabetes mellitus; e-GFR, estimated-glomerular filtration rate; ME, mediation effect; PD, peritoneal dialysis; SE, standard error.
Discussion
Our study mainly found that the prevalence of high ABI, a strong MACE indictor, was increased with CKD progression. Interestingly, the prevalence of high ABI in PD patients was not further increased compared with non-dialyzed ones, which was possibly related to PD adequacy. Further mediation analysis revealed the important mediated effect of Ca on the relationship between PD adequacy and high ABI, especially in patients starting dialysis before 55 years of age and with normal BMI.
Although the development of effective dialysis and medication treatment for dialysis patients have been improved, CVD mortality is still predicted to be further increased by 2030, which causes great concern worldwide (1). In the late stages of CKD, many medications lack efficacy. For example, statins are supposed to be beneficial for the reduction of CVD mortality in non-dialyzed patients while similar protective effects cannot be seen in dialysis patients (26, 27). It indicates that other nontraditional risk factors may also contribute to the development of CVD in the dialysis population. As an important nontraditional risk factor, VC is supposed to be associated with incremental CVD mortality (6, 7). Many studies have demonstrated that the prevalence of VC is higher in CKD patients and elevates with CKD progression (28, 29). Likewise, our results also reveal that the prevalence of high ABI, predicting VC, increases with the decline in e-GFR levels. But intriguingly, the prevalence of high ABI is not further increased among PD patients. It seems that major risk factors influencing VC in PD patients are different from non-dialyzed ones. As PD patients with high ABI tend to have increased risk of MACE, the possible contributors of VC in PD patients warrant further exploration.
Numerous factors have been reported to contribute to VC in CKD patients, among which abnormal mineral metabolism is the most important contributor (30). As known, the kidney is a major organ regulating mineral balance. Thus, impaired kidney function frequently develops a deficiency of mineral metabolism, and the condition becomes the worst at the end-stage of CKD. Mineral disorder is commonly seen in dialysis patients, who are also more prevalent with VC (31). Importantly, abnormal mineral metabolism has been demonstrated to contribute to the large burden of CVD in dialysis patients (32). The additional health risks imposed by abnormal mineral metabolism are greatly challenging the management of patients with CKD although the traditional risk factors have well been controlled, especially for dialysis patients (8, 31). In this study, we observe that serum Ca, rather than traditional risk factors, plays a critical role in high ABI among PD patients. It seems that Ca balance might be a major contributor to VC after patients started PD (33). In fact, the essential role of Ca in the development of VC has been well elucidated (34). Growing evidence from randomized controlled trials demonstrates that more progression of VC and higher mortality are observed in CKD patients receiving calcium-based phosphate binders than those receiving non-calcium-containing phosphate binders because of the high risk of Ca overload (35, 36). Therefore, well-controlled Ca balance is critical for CKD patients, especially for dialysis patients with markedly reduced urinary Ca excretion.
Besides using drugs such as phosphate binders and vitamin D, adequate dialysis is a specific and effective way to maintain mineral balance for dialysis patients. As known, inadequate dialysis contributes greatly to increased risk of all-cause and CVD mortality in dialysis patients (37). Dialysis adequacy also plays a role in the development of VC. Estimated by low Kt/V level, inadequate dialysis is reported to be an independent risk factor for VC in dialysis patients (38, 39). Likewise, we find that the Kt/V level of PD patients with high ABI tends to be <1.7 and PD adequacy is associated with a lower prevalence of high ABI. This might be because insufficient PD could lead to internal environmental disorders and mineral metabolism imbalance, which then initiates vascular lesions and VC (5, 31). Indeed, further mediation analysis estimates that ~84.4% of the relationship between Kt/V and ABI might be mediated by Ca in PD patients. It suggests that maintaining neutral Ca balance after adequate dialysis is important for reducing the prevalence of high ABI for PD patients. It might be another reason to explain why recent studies have reported that PD patients seem to face additional CVD risk (14). Therefore, dialysis treatment for PD patients should be individualized after comprehensive assessments, which include both the adequacy of dialysis and the level of post-dialysis Ca. Nevertheless, due to the limited data, further investigation is needed to verify our results.
Another interesting result we discovered is that the mediation effect of Ca only exists in PD patients starting dialysis before 55 years of age and with normal BMI. It seems that only in such relatively low-risk PD patients, adequate dialysis could retard the development of VC by maintaining a neutral Ca balance. This might explain why some PD patients with adequate dialysis also suffer from high ABI, as both age and abnormal nutritional status are important contributors to VC in CKD patients (30, 40). With a series of traditional cardiovascular risks, PD patients tend to suffer from advanced VC, and even adequate dialysis could not bring further benefits to its regression. Therefore, initiating PD earlier than 55 years of age and keeping BMI in the normal range may help patients benefit more from dialysis adequacy.
There are several limitations in this study. First, this is a cross-sectional, observational study. It might be impossible to fully confirm the relationship among dialysis adequacy, Ca, and high ABI. But we conduct the medication analysis which is used to analyze the statistically causal relationship. Second, the number of PD patients enrolled is relatively small and selection bias exists as patients without the contraindications of PD are included in this study. Therefore, further prospective studies with a larger sample size are needed to verify our findings. Third, we used ABI to estimate VC instead of computed tomography (CT) scanning. Although CT is the most common method used to assess VC, it may be not suitable for CKD patients because of the renal damage of the contrast agent. As a simple and noninvasive method, ABI has no renal damage and is more convenient and economical for CKD patients in systematic VC detection.
In conclusion, we provide clinical evidence that PD inadequacy correlated with increased high ABI occurrence, which predicts incremental risk of MACE, and that Ca might be an important mediator, especially for those starting PD before 55 years of age and with normal BMI. Improvement of PD adequacy by controlling neutral Ca balance seems to be promising to reduce the risk of MACE evaluated by high ABI for patients on PD.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics Statement
The studies involving human participants were reviewed and approved by the Ethics Committee of the Tungwah Hospital of Sun Yat-sen University. The patients/participants provided their written informed consent to participate in this study.
Author Contributions
HH contributed to conception and design of the study and the analyses. XS, WH, MZ, and YZ participated in data collection. WH contributed to the statistical analysis and the draft manuscript. LZ, JC, and HH reviewed the manuscript and made final changes. All authors contributed to the article and approved the submitted version.
Funding
This work was supported in part by National Key Research and Development Program (2020YFC2004405), National Natural Science Foundation of China (NSFC) (82073408) to JC, NSFC (82061160372 and 81870506), project of traditional Chinese medicine in Guangdong province (20201062), Basic Research Project of Shenzhen Science and Technology Innovation Committee (JCYJ20180306174648342 and JCYJ20190808102005602), Futian District Public Health Scientific Research Project of Shenzhen (FTWS2019003) and Shenzhen Key Medical Discipline Construction Fund (SZXK002), and Guangdong Basic and Applied Basic Research Foundation (2021B1515120083) to HH; Natural Science Foundation of Guangdong Province (A2016248) and Guangdong Basic and Applied Basic Research Foundation (2020B1515120037) to XS.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fcvm.2022.920431/full#supplementary-material
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Keywords: ankle-brachial index, peritoneal dialysis, calcium, vascular calcification, Kt/V
Citation: Su X, He W, Zhang M, Zhang Y, Zhu L, Chen J and Huang H (2022) Abnormal Calcium Metabolism Mediated Increased Risk of Cardiovascular Events Estimated by High Ankle-Brachial Index in Patients on Peritoneal Dialysis. Front. Cardiovasc. Med. 9:920431. doi: 10.3389/fcvm.2022.920431
Received: 14 April 2022; Accepted: 25 May 2022;
Published: 28 July 2022.
Edited by:
Yuli Huang, Southern Medical University, ChinaReviewed by:
Natalia M. Stepanova, SI “Institute of Nephrology National Academy of Medical Science of Ukraine”, UkraineKai Yin, Guilin Medical University, China
Yan Li, Fourth Military Medical University, China
Copyright © 2022 Su, He, Zhang, Zhang, Zhu, Chen and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Hui Huang, huangh8@mail.sysu.edu.cn
†These authors have contributed equally to this work