Cardiac Multi-Frequency Vibration Signal Sensor Module and Feature Extraction Method Based on Vibration Modeling.

Cardiovascular diseases pose a long-term risk to human health. This study focuses on the rich-spectrum mechanical vibrations generated during cardiac activity. By combining Fourier series theory, we propose a multi-frequency vibration model for the heart, decomposing cardiac vibration into frequency bands and establishing a systematic interpretation for detecting multi-frequency cardiac vibrations. Based on this, we develop a small multi-frequency vibration sensor module based on flexible polyvinylidene fluoride (PVDF) films, which is capable of synchronously collecting ultra-low-frequency seismocardiography (ULF-SCG), seismocardiography (SCG), and phonocardiography (PCG) signals with high sensitivity. Comparative experiments validate the sensor's performance and we further develop an algorithm framework for feature extraction based on 1D-CNN models, achieving continuous recognition of multiple vibration features. Testing shows that the recognition coefficient of determination (R2), mean absolute error (MAE), and root mean square error (RMSE) of the 8 features are 0.95, 2.18 ms, and 4.89 ms, respectively, with an average prediction speed of 60.18 us/point, meeting the re-quirements for online monitoring while ensuring accuracy in extracting multiple feature points. Finally, integrating the vibration model, sensor, and feature extraction algorithm, we propose a dynamic monitoring system for multi-frequency cardiac vibration, which can be applied to portable monitoring devices for daily dynamic cardiac monitoring, providing a new approach for the early diagnosis and prevention of cardiovascular diseases.

A Portable Cardiac Dynamic Monitoring System in the Framework of Electro-Mechano-Acoustic Mapping.

Abnormalities in cardiac function arise irregularly and typically involve multimodal electrical, mechanical vibrations, and acoustics alterations. This paper proposes an Electro-Mechano-Acoustic (EMA) activity model for mapping the complete macroscopic cardiac function to refine the systematic interpretation of cardiac multimodal assessment. We abstract this activity pattern and build the mapping system by analyzing the functional comparison of the heart pump and Electronic Fuel Injection (EFI) system from the multimodal characteristics of the heart. Electrocardiogram (ECG), seismocardiogram (SCG) & Ultra-Low Frequency seismocardiogram (ULF-SCG), and Phonocardiogram (PCG) are selected to implement the EMA mapping respectively. First, a novel low-frequency cardiograph compound sensor capable of extracting both SCG and ULF-SCG is proposed, which is integrated with ECG and PCG modules on a single hardware device for portable dynamic acquisition. Afterward, a multimodal signal processing chain further analyses the acquired synchronized signals, and the extracted ULF-SCG is shown to indicate changes in heart volume. In particular, the proposed method based on waveform curvature is used to extract 9 feature points of the SCG signal, and the overall recognition accuracy reaches over 90% in the data collected by EMA portable device. Ultimately, we integrate the portable device and signal processing chains to form the EMA cardiovascular mapping system (EMACMS). As a next-generation system solution for cardiac daily dynamic monitoring, which can map the mechanical coupling and electromechanical coupling process, extract multi-characteristic heart rate variability (HRV), and enable extraction of important time intervals of cardiac activity to assess cardiac function.

Improving the Cellulose Enzymatic Digestibility of Sugarcane Bagasse by Atmospheric Acetic Acid Pretreatment and Peracetic Acid Post-Treatment.

Pretreatment of sugarcane bagasse (SCB) by aqueous acetic acid (AA), with the addition of sulfuric acid (SA) as a catalyst under mild condition (<110 °C), was investigated. A response surface methodology (central composite design) was employed to study the effects of temperature, AA concentration, time, and SA concentration, as well as their interactive effects, on several response variables. Kinetic modeling was further investigated for AA pretreatment using both Saeman's model and the Potential Degree of Reaction (PDR) model. It was found that Saeman's model showed a great deviation from the experimental results, while the PDR model fitted the experimental data very well, with determination coefficients of 0.95-0.99. However, poor enzymatic digestibility of the AA-pretreated substrates was observed, mainly due to the relatively low degree of delignification and acetylation of cellulose. Post-treatment of the pretreated cellulosic solid well improved the cellulose digestibly by further selectively removing 50-60% of the residual linin and acetyl group. The enzymatic polysaccharide conversion increased from <30% for AA-pretreatment to about 70% for PAA post-treatment.

The Correlation between Serum Lipoprotein(a) and Risk of Mortality in Patients on Peritoneal Dialysis.

BACKGROUND: Patients with peritoneal dialysis commonly have severe disorders of lipid metabolism, with particularly severe changes in serum lipoprotein(α) [Lp(α)]. Serum Lp(α) may play a role in the risk of mortality in peritoneal dialysis patients. The aim was to investigate the correlation between high serum Lp(α) levels and all-cause mortality and death from cardiovascular events and infection in peritoneal dialysis patients. METHODS: Three hundred and ninety-two patients with end-stage kidney disease who started peritoneal dialysis treatment between March 1, 2007 and May 31, 2020, were selected. Clinical data of all enrolled patients after 3 months of peritoneal dialysis were collected. Based on the median value of serum Lp(α) level, all enrolled patients were divided equally into a high serum Lp(α) level group (> 275.95 mg/L, n = 196) and a low serum Lp(α) level group (< 275.95 mg/L, n = 196). SPSS25.0 statistical software was used to analyze the factors affecting serum Lp(α) levels and the correlation between high serum Lp(α) levels and all-cause mortality and death from cardiovascular events and infection in peritoneal dialysis patients. RESULTS: Binary multivariate logistic regression analysis showed that higher low-density lipoprotein (LDL) levels (OR = 1.614, 95% CI: 1.261 - 2.068, p = 0.000) and high Body Mass Index (BMI) levels (OR = 1.063, 95% CI: 1.004 - 1.126, p = 0.036) were the risk factors for the high serum Lp(α) levels. High serum albumin levels (OR = 0.959, 95% CI: 0.927 - 0.991, p = 0.014) and high parathyroid hormone levels (OR = 0.999, 95% CI: 0.997 - 1.000, p = 0.010) were protective factors for the high serum Lp(α) levels. The cumulative survival of patients in the high serum Lp(α) level group was lower in death from cardiovascular events as shown by Kaplan-Meier survival analysis (Log-rank test χ2 = 4.348, p = 0.037). Multivariate Cox regression analysis showed that high serum Lp(α) levels were an independent risk factor for death from cardiovascular events in peritoneal dialysis patients (HR = 1.002, 95% CI: 1.001 - 1.003, p = 0.001). CONCLUSIONS: The occurrence of high serum Lp(α) levels in peritoneal dialysis patients was positively associated with LDL and BMI, and negatively associated with serum albumin and parathyroid hormone levels. High serum Lp(α) levels were related to the risk of death from cardiovascular events in peritoneal dialysis patients.

The change of gut microbiota-derived short-chain fatty acids in diabetic kidney disease.

BACKGROUND: Previous studies found the dysbiosis of intestinal microbiota in diabetic kidney disease (DKD), especially the decreased SCFA-producing bacteria. We aimed to investigate the concentration of the stool and serum short-chain fatty acids (SCFAs), gut microbiota-derived metabolites, in individuals with DKD and reveal the correlations between SCFAs and renal function. METHODS: A total of 30 participants with DKD, 30 participants with type 2 diabetes mellitus (DM), and 30 normal controls (NC) in HwaMei Hospital were recruited from 1/1/2018 to 12/31/2019. Participants with DKD were divided into low estimated glomerular filtration rate (eGFR)(eGFR<60ml/min, n=14) and high eGFR (eGFR≥60ml/min, n=16) subgroups. Stool and serum were measured for SCFAs with gas chromatograph-mass spectrometry. RESULTS: The DKD group showed markedly lower levels of fecal acetate, propionate, and butyrate versus NC (p<0.001, p<0.001, p=0.018, respectively) [1027.32(784.21-1357.90)]vs[2064.59(1561.82-2637.44)]µg/g,[929.53(493.65-1344.26)]vs[1684.57(1110.54-2324.69)]µg/g,[851.39(409.57-1611.65)] vs[1440.74(1004.15-2594.73)]µg/g, respectively, and the lowest fecal total SCFAs concentration among the groups. DKD group also had a lower serum caproate concentration than that with diabetes (p=0.020)[0.57(0.47-0.61)]vs[0.65(0.53-0.79)]µmol/L. In the univariate regression analysis, fecal and serum acetate correlated with eGFR (OR=1.013, p=0.072; OR=1.017, p=0.032). The correlation between serum total SCFAs and eGFR showed statistical significance (OR=1.019, p=0.024) unadjusted and a borderline significance (OR=1.024, p=0.063) when adjusted for Hb and LDL. The decrease in serum acetate and total SCFAs were found of borderline significant difference in both subgroups (p=0.055, p=0.050). CONCLUSION: This study provides evidence that in individuals with DKD, serum and fecal SCFAs levels (fecal level in particular) were lowered, and there was a negative correlation between SCFAs and renal function.

Predictive Value of Peripheral Blood Neutrophil-To-Lymphocyte Ratio and Platelet-To-Lymphocyte Ratio on Patient Survival with Peritoneal Dialysis.

BACKGROUND: This study is to explore the predictive value of peripheral blood neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) on the prognosis of patients with peritoneal dialysis (PD). METHODS: A total of 378 patients who underwent PD from July 2004 to November 2019 were selected as the research subjects. According to whether death occurred during the follow-up period, they were divided into death group (86 cases) and survival group (292 cases). The differences in clinical indicators between the two groups were compared, and the multivariate Cox regression model and receiver operating characteristic curve (ROC) were used to analyze and summarize the factors affecting the prognosis of PD patients. RESULTS: Compared with the survival group, there were significant differences in age, lymphocytes, NLR, PLR, and combined cerebrovascular disease between the death group and the survival group (p < 0.05). Multivariate Cox regression analysis showed that advanced age (HR = 1.055, 95% CI: 1.038 - 1.072), increased NLR (HR = 1.136, 95% CI: 1.067 - 1.210), and increased PLR (HR = 1.184, 95% CI: 1.018 - 3.026) were risk factors for all-cause death in PD patients. The results showed that the area under the ROC curve (AUC) of NLR and PLR for predicting all-cause death of PD patients were 0.698 and 0.659, respectively, the sensitivity was 69.77%, and the specificity was 66.78% and 58.56%, respectively. The optimal critical values were NLR ≥ 3.71 and PLR ≥ 149.28. Taking the best cutoff value of the ROC curve as the threshold, it showed that the cumulative survival rate of patients with NLR ≥ 3.71 was significantly lower than that of patients with NLR < 3.71 (Log rank 2 = 37.551, p = 0.000). It also showed that the cumulative survival rate of patients with PLR ≥ 149.28 was lower than that of patients with PLR < 149.28 (Log rank 2 =23.686, p = 0.000). CONCLUSIONS: NLR and PLR have a good predictive effect on the prognosis of PD patients.

The Correlation Between Low Serum T3 Levels and All-Cause and Cardiovascular Mortality in Peritoneal Dialysis Patients.

OBJECTIVE: This study is to investigate the correlation between serum triiodothyronine (T3) levels and all-cause and cardiovascular mortality in PD patients. METHODS: A total of 376 end-stage renal disease (ESRD) patients who started maintenance PD treatment in the Department of Nephrology in our hospital and stable treatment for ≥3 months were selected, and the total T3 (TT3) and free T3 (FT3) levels were determined. Among them, 168 cases with FT3 <3.5 pmol/L and/or TT3 <0.92 nmol/L were divided into the low serum T3 level group, and the remaining 208 cases were divided into normal serum T3 level group. The Cox survival analysis method was used to analyze the correlation between low serum T3 levels and all-cause and cardiovascular mortality in PD patient. RESULTS: Compared with the normal serum T3 level group, patients with low serum T3 levels had higher systolic blood pressure and a higher proportion of heart disease, and lower levels of total T4, free T4, hemoglobin, serum albumin, blood calcium, serum total bilirubin, alanine aminotransferase, and 24-h urine volume (all P < 0.05). Binary Logistic regression analysis showed that heart disease (P = 0.003, OR: 2.628, 95% CI: 1.382-4.997) and high TT4 level (P < 0.001, OR: 0.968, 95% CI: 0.956-0.979) were related to low serum T3 levels in PD patients. Multivariate Cox regression analysis showed that low serum FT3 level was an independent risk factor for all-cause death in PD patients (HR = 0.633, 95% CI = 0.431-0.930; P < 0.020). CONCLUSION: Low serum T3 levels in PD patients were associated with heart disease and TT4 levels. Low serum FT3 levels were associated with the risk of all-cause death in PD patients.

Effect of three different proteases on horsemeat tenderness during postmortem aging.

In this study, the semitendinosus of horse meat was used as the raw material. The study assessed the variation of the tenderness of horse meat during postmortem aging through the injection of papain, bromelain and fungal protease. The cooking loss of the horse meat became worse during postmortem aging. Low concentration of protease improved water retention properties of horse meat. Papain, bromelain and fungal protease had significant influence on MFI and shear force. MFI increased obviously but the shear force decreased significantly with the addition of more protease (p <0.05). During postmortem aging, many small molecules popeptide appeared in treatment group. Myosin light chain 2, 20 KDa, 32 KDa and 75 KDa bands appeared at first, however later they disappeared in the group with high concentration of protease treatment in addition to the disappearance of Desmin and Troponin I. The muscle fiber, perimysium and endomysium were degraded because of papain, bromelain and fungal protease treatment. More muscle fiber fragments appeared during postmortem aging.Thus, the tenderness and eating quality of horse meat were improved by adding three kinds of protease.

Concomitant genetic alterations are associated with response to EGFR targeted therapy in patients with lung adenocarcinoma.

BACKGROUND: Epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) are considered to be more effective than chemotherapy in the treatment of EGFR-mutant advanced non-small cell lung cancer (NSCLC). However, in addition to EGFR-sensitive mutations, the genetic factors that affect the prognosis of patients who receive TKI treatment are not yet clear. METHODS: The clinical data of 36 NSCLC patients with EGFR mutation who received TKI treatment were retrospectively analyzed. Liquid re-biopsy with next generation sequencing (NGS) analysis was performed to analyze genetic alterations and potential resistance mechanisms. RESULTS: All of the patients harbored actionable sensitive EGFR mutations by NGS, with the major types being 19del or 21L858R (52.78%, 19/36 and 55.56%, 20/36, respectively). The 3 most frequent accompanying somatic mutations were TP53 (12, 48.4%), KRAS (7, 19.44%) and PIK3CA (3, 8.33%). Concomitant mutations were present in 16 patients (44.44%). The occurrence of co-mutation was found to be significantly related to a history of smoking [87.5% (7 of 8) vs. 32.14% (9 of 28); Pearson chi-square, P=0.005]. Patients who received EGFR-TKIs treatment (P=0.0079) or third-generation EGFR-TKIs only (P=0.0468) had better progression-free survival (PFS). Concomitant mutations were significantly related to lower objective response rates (43.75% vs. 80.0%; P=0.024) and poorer PFS (P<0.001). Patients with concomitant genetic alterations had a worse response after receiving EGFR-TKIs treatment (P=0.0033). CONCLUSIONS: Our research underscores the importance of using multiple molecular profiles. Concomitant genetic alterations were significantly associated with response to EGFR targeted therapy in NSCLC. Therefore, research on multi-drug or sequential therapy to address the covariation that drives drug resistance is urgently needed.

Perilipin2 inhibits diabetic nephropathy-induced podocyte apoptosis by activating the PPARγ signaling pathway.

Podocyte apoptosis plays a pivotal role in the pathogenesis of diabetic nephropathy (DN). The main purpose of this study was to investigate the effects of perilipin2 on high glucose (HG)-induced podocyte apoptosis and associated mechanisms. Differentially expressed genes (DEGs) in BTBR ob/ob mice vs. nondiabetic mice kidneys were obtained from GSE106841 dataset and picked out using the 'limma' package. The protein-protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes (STRING) and was visualized by Cytoscape. Perilipin2 was a hub gene using the cytoHubba plug-in from Cytoscape. Gene ontology (GO) analysis revealed that the 126 overlapping DEGs were mainly enriched in 'oxidation reduction' [biological process, (BP)], metal ion binding' [molecular function, (MF)] and 'extracellular region' [cellular component, (CC)]. KEGG pathway analysis revealed that perilipin2 was mainly involved in 'PPAR signaling pathway'. DN inhibited perilipin2 expression and PPARγ expression, as by both in vitro and in vivo studies. In vitro experiments demonstrated that perilipin2 inhibition could not only reduced PPARγ expression in podocytes, it could also promote the apoptosis, and inhibit the viability in HG treated podocytes using western blot, CCK8 and flow cytometry assays. Perilipin2 overexpression reversed the effects of HG on inhibiting podocalyxin, nephrin, precursor (pro)-caspase-3/-9 and PPARγ protein expression and increasing cleaved caspase-3/-9 protein expression. Furthermore, the functions of perilipin2 overexpression reversing HG-induced podocyte apoptosis were inhibited by PPARγ inhibitor. In conclusion, the functions of DN-induced podocyte apoptosis were inhibited by activation of the PPARγ signaling pathway caused by perilipin2 overexpression.

Association between coffee consumption and risk of bladder cancer in a meta-analysis of 16 prospective studies.

BACKGROUND: Current evidence remains equivocal as to whether and how consumption of coffee may be associated with risk of bladder cancer, and potential influence of confounding by smoking on this association is yet to be elucidated. We conducted an updated meta-analysis of prospective studies to address these issues. METHODS: Relevant studies were identified by searching PubMed and EMBASE databases from inception to April 2019. A random-effects model was used to estimate summary relative risk (RR) with corresponding 95% confidence interval (CI) of bladder cancer associated with coffee consumption. RESULTS: The final analysis included 16 prospective studies comprising 2,122,816 participants and 11,848 bladder cancer cases. Overall, coffee consumption was not associated with risk of bladder cancer (RR high-vs-low = 1.07, 95% CI: 0.96-1.20). The lack of association persisted in the strata defined by sex or participants' smoking status. Meta-regression analyses identified the number cases (P difference = 0.06) and the degree of adjustment for smoking (P difference = 0.04) as potential sources of heterogeneity. There was an increased risk of bladder cancer related to higher coffee consumption among studies with fewer cases (RR high-vs-low = 1.38, 95% CI: 1.05-1.81) and among those with poorer adjustment for smoking (RR high-vs-low = 1.48, 95% CI: 1.14-1.93). Results were similar in the dose-response analyses (RR 1 cup/d = 1.01, 95% CI: 0.98-1.03). CONCLUSION: Best evidence available to date does not support an independent association between coffee consumption and bladder cancer risk. Some direct associations observed in individual studies may be a result of residual confounding by smoking. SUPPLEMENTARY INFORMATION: Supplementary information accompanies this paper at 10.1186/s12986-019-0390-3.

Full age spectrum equation versus CKD-EPI and MDRD equations to estimate glomerular filtration rate in adults with obstructive nephropathy.

OBJECTIVE: To compare the full age spectrum (FAS) equation with the Modification of Diet in Renal Disease (MDRD) and the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations in predicting glomerular filtration rate (GFR) in patients with obstructive nephropathy. METHODS: Adult patients with obstructive nephropathy who had undergone a GFR measurement using technetium-99m diethylenetriaminepentaacetic acid radioisotope renography were enrolled in the study. The measured GFR was taken as the reference value. Bias, precision and accuracy were compared between the three equations. Kappa test and the Bland-Altman method were used to evaluate the classification and the agreement. Receiver operating characteristic (ROC) curve analysis was used to describe the diagnostic accuracy of each equation. RESULTS: A total of 327 patients were enrolled. The P30 value for the FAS equation was 60.2% in the overall study cohort. The FAS equation had the highest diagnostic accuracy (ROCAUC = 0.87, 95% confidence interval [CI] 0.84, 0.91) compared with the MDRD equation (ROCAUC = 0.86, 95% CI 0.82, 0.89). The median bias of the FAS equation was significantly higher than that of the MDRD equation (8.7 versus 7.6 ml/min/1.73 m2, respectively). CONCLUSIONS: Despite the drawbacks associated with each equation, the FAS equation was probably closer to ideal to estimate GFR in patients with obstructive nephropathy.

[A simulation of microwave brain imaging of hemorrhagic stroke detection].

This paper describes a simulation of microwave brain imaging for the detection of hemorrhagic stroke. Firstly, in the research process, the formula of DebyeⅡwas used to study tissues of brain and blood clot so that microwave frequency band was confirmed for imaging. Then a model with electromagnetic characteristics of brain was built on this basis. In addition, an ultra-wideband (UWB) Vivaldi antenna is designed to use for transmitting and receiving microwave signals of widths 1.7 GHz to 4 GHz. Microwave signals were transmitted and received when the antenna revolved around the brain model. Symmetric position de-noising method was used to eliminate the strong background noise signals, and finally confocal imaging method was applied to get brain imaging. Blood clot was distinguished clearly from result of imaging and position error was less than 1 cm.

Neutrophil-lymphocyte ratio is associated with arterial stiffness in patients with peritoneal dialysis.

BACKGROUND: Patients with peritoneal dialysis are in the persistent inflammation state and have elevated arterial stiffness. Neutrophil-lymphocyte ratio(NLR) is a new inflammatory marker in renal and cardiac disorders. Brachial-ankle pulse wave velocity (baPWV) is a non-invasive measurement, which is widely used as a surrogate marker of arterial stiffness. However, there is little evidence to show an association between NLR and baPWV in patients with peritoneal dialysis. The aim of this cross-section study was to investigate the relationship between NLR and arterial stiffness measured by baPWV in patients with peritoneal dialysis. METHODS: In this cross-section study, 101 patients with peritoneal dialysis were enrolled from January 2014 to June 2015. According to average baPWV level (1847.54 cm/s), the patients were categorized into two groups, low group and high group. baPWV, which reflects arterial stiffness, was calculated using the single-point method. Clinical data were collected in details. NLR was calculated using complete blood count. Associations between NLR and baPWV were assessed using Pearson's correlation and linear regression analysis. RESULTS: The NLR was significantly lower in the low baPWV group than in the high baPWV group (p = 0.03). There were positive correlations between baPWV and neutrophil count (r = 0.24, p = 0.01) and NRL(r = 0.43, P < 0.01), and there was a negative correlation between baPWV and lymphocyte count (r = -0.23, p = 0.01). In addition, albumin, phosphorous and intact parathyroid hormone showed negative correlations with baPWV (r = -0.32, p < 0.01; r = -0.28, p < 0.01; r = -0.25, p = 0.01, respectively). Age and hsCRP showed positive correlations with baPWV (r = 0.47, p < 0.01; r = 0.25, p = 0.01). In multivariate analysis, NLR independently correlated with baPWV in patients with peritoneal dialysis (ß = 0.33, p < 0.01), even after adjustment for various confounders. CONCLUSION: Our study suggests that NLR was an independently associated with arterial stiffness in patients with peritoneal dialysis. However, further prospective studies are needed to confirm cause-and-effect relationship between NLR and baPWV, and to investigate whether anti-inflammatory treatment could improve arterial stiffness in patients with peritoneal dialysis.

Hypomagnesemia Is Associated with Increased Mortality among Peritoneal Dialysis Patients.

OBJECTIVE: Hypomagnesemia has been associated with an increase in mortality among the general population as well as patients with chronic kidney disease or those on hemodialysis. However, this association has not been thoroughly studied in patients undergoing peritoneal dialysis. The aim of this study was to evaluate the association between serum magnesium concentrations and all-cause and cardiovascular mortalities in peritoneal dialysis patients. METHODS: This single-center retrospective study included 253 incident peritoneal dialysis patients enrolled between July 1, 2005 and December 31, 2014 and followed to June 30, 2015. Patient's demographic characteristics as well as clinical and laboratory measurements were collected. RESULTS: Of 253 patients evaluated, 36 patients (14.2%) suffered from hypomagnesemia. During a median follow-up of 29 months (range: 4-120 months), 60 patients (23.7%) died, and 35 (58.3%) of these deaths were attributed to cardiovascular causes. Low serum magnesium was positively associated with peritoneal dialysis duration (r = 0.303, p < 0.001) as well as serum concentrations of albumin (r = 0.220, p < 0.001), triglycerides (r = 0.160, p = 0.011), potassium (r = 0.156, p = 0.013), calcium(r = 0.299, p < 0.001)and phosphate (r = 0.191, p = 0.002). Patients in the hypomagnesemia group had a lower survival rate than those in the normal magnesium groups (p < 0.001). In a multivariate Cox proportional hazards regression analysis, serum magnesium was an independent negative predictor of all-cause mortality (hazard ratio [HR] = 0.075, p = 0.011) and cardiovascular mortality (HR = 0.003, p < 0.001), especially in female patients. However, in univariate and multivariate Cox analysis, △Mg(difference between 1-year magnesium and baseline magnesium) was not an independent predictor of all-cause mortality and cardiovascular mortality. CONCLUSION: Hypomagnesemia was common among peritoneal dialysis patients and was independently associated with all-cause mortality and cardiovascular mortality.