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1.
Cut-off values of haemoglobin and clinical outcomes in incident peritoneal dialysis: the PDTAP study.
Xu, X, Yang, Z, Li, S, Pei, H, Zhao, J, Zhang, Y, Xiong, Z, Liao, Y, Li, Y, Lin, Q, et al
Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association. 2024;(2):251-263
Abstract
BACKGROUND To explore the cut-off values of haemoglobin (Hb) on adverse clinical outcomes in incident peritoneal dialysis (PD) patients based on a national-level database. METHODS The observational cohort study was from the Peritoneal Dialysis Telemedicine-assisted Platform (PDTAP) dataset. The primary outcomes were all-cause mortality, major adverse cardiovascular events (MACE) and modified MACE (MACE+). The secondary outcomes were the occurrences of hospitalization, first-episode peritonitis and permanent transfer to haemodialysis (HD). RESULTS A total of 2591 PD patients were enrolled between June 2016 and April 2019 and followed up until December 2020. Baseline and time-averaged Hb <100 g/l were associated with all-cause mortality, MACE, MACE+ and hospitalizations. After multivariable adjustments, only time-averaged Hb <100 g/l significantly predicted a higher risk for all-cause mortality {hazard ratio [HR] 1.83 [95% confidence interval (CI) 1.19-281], P = .006}, MACE [HR 1.99 (95% CI 1.16-3.40), P = .012] and MACE+ [HR 1.77 (95% CI 1.15-2.73), P = .010] in the total cohort. No associations between Hb and hospitalizations, transfer to HD and first-episode peritonitis were observed. Among patients with Hb ≥100 g/l at baseline, younger age, female, use of iron supplementation, lower values of serum albumin and renal Kt/V independently predicted the incidence of Hb <100 g/l during the follow-up. CONCLUSION This study provided real-world evidence on the cut-off value of Hb for predicting poorer outcomes through a nation-level prospective PD cohort.
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2.
The relationship between complement C1q and coronary plaque vulnerability based on optical coherence tomography analysis.
Wang, Y, Zheng, J, Li, Q, Ma, Y, Liu, C, Deng, J, Gao, D
Scientific reports. 2024;(1):9477
Abstract
To determine the association between complement C1q and vulnerable plaque morphology among coronary artery disease (CAD) patients. We conducted a retrospective observational study of 221 CAD patients admitted to The Second Affiliated Hospital of Xi'an Jiaotong University. Intravascular optical coherence tomography was utilized to describe the culprit plaques' morphology. Using logistic regression analysis to explore the correlation between C1q and vulnerable plaques, and receiver operator characteristic (ROC) analysis assess the predictive accuracy. As reported, the complement C1q level was lower in ACS patients than CCS patients (18.25 ± 3.88 vs. 19.18 ± 4.25, P = 0.045). The low complement-C1q-level group was more prone to develop vulnerable plaques. In lipid-rich plaques, the complement C1q level was positively correlated with the thickness of fibrous cap (r = 0.480, P = 0.041). Univariate and multivariate logistic regression analyses suggested that complement C1q could be an independent contributor to plaques' vulnerability. For plaque rupture, erosion, thrombus, and cholesterol crystals, the areas under the ROC curve of complement C1q level were 0.873, 0.816, 0.785, and 0.837, respectively (P < 0.05 for all). In CAD patients, the complement C1q could be a valuable indicator of plaque vulnerability.
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3.
Predictive role of serum C-peptide in new-onset renal dysfunction in type 2 diabetes: a longitudinal observational study.
Sun, D, Hu, Y, Ma, Y, Wang, H
Frontiers in endocrinology. 2023;:1227260
Abstract
BACKGROUND Our previous cross-sectional study has demonstrated the independently non-linear relationship between fasting C-peptide with renal dysfunction odds in patients with type 2 diabetes (T2D) in China. This longitudinal observational study aims to explore the role of serum C-peptide in risk prediction of new-onset renal dysfunction, then construct a predictive model based on serum C-peptide and other clinical parameters. METHODS The patients with T2D and normal renal function at baseline were recruited in this study. The LASSO algorithm was performed to filter potential predictors from the baseline variables. Logistic regression (LR) was performed to construct the predictive model for new-onset renal dysfunction risk. Power analysis was performed to assess the statistical power of the model. RESULTS During a 2-year follow-up period, 21.08% (35/166) of subjects with T2D and normal renal function at baseline progressed to renal dysfunction. Six predictors were determined using LASSO regression, including baseline albumin-to-creatinine ratio, glycated hemoglobin, hypertension, retinol-binding protein-to-creatinine ratio, quartiles of fasting C-peptide, and quartiles of fasting C-peptide to 2h postprandial C-peptide ratio. These 6 predictors were incorporated to develop model for renal dysfunction risk prediction using LR. Finally, the LR model achieved a high efficiency, with an AUC of 0.83 (0.76 - 0.91), an accuracy of 75.80%, a sensitivity of 88.60%, and a specificity of 70.80%. According to the power analysis, the statistical power of the LR model was found to be 0.81, which was at a relatively high level. Finally, a nomogram was developed to make the model more available for individualized prediction in clinical practice. CONCLUSION Our results indicated that the baseline level of serum C-peptide had the potential role in the risk prediction of new-onset renal dysfunction. The LR model demonstrated high efficiency and had the potential to guide individualized risk assessments for renal dysfunction in clinical practice.
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4.
Nomogram analysis of the influencing factors of rapid renal decline in patients with biopsy-proven diabetic nephropathy in type 2 diabetes.
Ma, Y, Ren, Y, Hui, D, Zhang, L, Jiao, C, Xie, H
Clinical nephrology. 2023;(6):274-282
Abstract
BACKGROUND HbA1c variability may be related to risk of poor prognoses in chronic kidney disease patients with type 2 diabetes mellitus (T2DM). The aim of this study was to investigate whether HbA1c variability is associated with rapid renal function decline and the related risk factors in type 2 diabetic nephropathy (DN). MATERIALS AND METHODS An observational analysis was performed on 387 DN patients who were diagnosed by kidney biopsy from January 2006 through January 2016 at the Department of Nephrology, Jinling Hospital Affiliated to Nanjing University. The rapid decliners were defined as an estimated glomerular filtration rate (eGFR) decline slope ≥ 5 mL/min/1.73m2/year. HbA1c variability and 24 baseline clinicopathologic parameters was evaluated using the least absolute shrinkage and selection operator regression (LASSO) and multivariate logistic regression. The nomogram method was applied to score the factors, and a scoring model was constructed. RESULTS HbA1c variability positively correlated with the rate of renal function decline (r = 0.277; p < 0.001). Higher baseline eGFR, lower serum calcium concentration, glomerular lesions, arteriosclerosis, and interstitial fibrosis and tubular atrophy (IFTA) were selected into the nomogram. The calibration curve for the probability of survival showed good agreement between the prediction by nomogram and actual observation. The C-index for predicting survival was 0.811 (95% confidence interval (CI) 0.680 - 0.785). CONCLUSION The proposed nomogram and score provide a useful risk estimate of fast renal function decline in patients with type 2 diabetic nephropathy.
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5.
Low-Carbohydrate and Low-Fat Diet with Metabolic-Dysfunction-Associated Fatty Liver Disease.
Hu, C, Huang, R, Li, R, Ning, N, He, Y, Zhang, J, Wang, Y, Ma, Y, Jin, L
Nutrients. 2023;(22)
Abstract
BACKGROUND This observational cross-sectional study was designed to explore the effects of a low-carbohydrate diet (LCD) and a low-fat diet (LFD) on metabolic-dysfunction-associated fatty liver disease (MAFLD). METHODS This study involved 3961 adults. The associations between LCD/LFD scores and MAFLD were evaluated utilizing a multivariable logistic regression model. Additionally, a leave-one-out model was applied to assess the effect of isocaloric substitution of specific macronutrients. RESULTS Participants within the highest tertile of healthy LCD scores (0.63; 95% confidence interval [CI], 0.45-0.89) or with a healthy LFD score (0.64; 95%CI, 0.48-0.86) faced a lower MAFLD risk. Furthermore, compared with tertile 1, individuals with unhealthy LFD scores in terile 2 or tertile 3 had 49% (95%CI, 1.17-1.90) and 77% (95%CI, 1.19-2.63) higher risk levels for MAFLD, respectively. CONCLUSIONS Healthy LCD and healthy LFD are protective against MAFLD, while unhealthy LFD can increase the risk of MAFLD. Both the quantity and quality of macronutrients might have significant influences on MAFLD.
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6.
Non-linear association of fasting C-peptide and uric acid levels with renal dysfunction based on restricted cubic spline in patients with type 2 diabetes: A real-world study.
Chen, L, Hu, Y, Ma, Y, Wang, H
Frontiers in endocrinology. 2023;:1157123
Abstract
BACKGROUND Previous studies had showed divergent findings on the associations of C-peptide and/or uric acid (UA) with renal dysfunction odds in patients with type 2 diabetes mellitus (T2DM). We hypothesized that there were non-linear relationships between C-peptide, UA and renal dysfunction odds. This study aimed to further investigate the relationships of different stratification of C-peptide and UA with renal dysfunction in patients with T2DM. METHOD We conducted a cross-sectional real-world observational study of 411 patients with T2DM. The levels of fasting C-peptide, 2h postprandial C-peptide, the ratio of fasting C-peptide to 2h postprandial C-peptide (C0/C2 ratio), UA and other characteristics were recorded. Restricted cubic spline (RCS) curves was performed to evaluated the associations of stratified C-peptide and UA with renal dysfunction odds. RESULTS Fasting C-peptide, C0/C2 ratio and UA were independently and significantly associated with renal dysfunction in patients with T2DM as assessed by multivariate analyses (p < 0.05). In especial, non-linear relationships with threshold effects were observed among fasting C-peptide, UA and renal dysfunction according to RCS analyses. Compared with patients with 0.28 ≤ fasting C-peptide ≤ 0.56 nmol/L, patients with fasting C-peptide < 0.28 nmol/L (OR = 1.38, p = 0.246) or fasting C-peptide > 0.56 nmol/L (OR = 1.85, p = 0.021) had relatively higher renal dysfunction odds after adjusting for confounding factors. Similarly, compared with patients with 276 ≤ UA ≤ 409 μmol/L, patients with UA < 276 μmol/L (OR = 1.32, p = 0.262) or UA > 409 μmol/L (OR = 6.24, p < 0.001) had relatively higher odds of renal dysfunction. CONCLUSION The renal dysfunction odds in patients with T2DM was non-linearly associated with the levels of serum fasting C-peptide and UA. Fasting C-peptide and UA might have the potential role in odds stratification of renal dysfunction.
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7.
Effects of Hypovitaminosis D on Preoperative Pain Threshold and Perioperative Opioid Use in Colorectal Cancer Surgery: A Cohort Study.
Xia, J, Li, D, Yu, G, Xu, B, Gao, X, Wang, H, Ma, Y, Li, X, Xiong, Y
Pain physician. 2022;(7):E1009-E1019
Abstract
BACKGROUND Postoperative pain after colorectal cancer surgery has a significant impact on postoperative physical and mental health. Vitamin D deficiency has been correlated with both acute pain states, including postoperative and post-traumatic pain, and several chronic pain diseases. The effects of hypovitaminosis D on preoperative pain threshold and perioperative opioid use in colorectal cancer surgery still need to be studied. OBJECTIVES To find the relationship between hypovitaminosis D on pain threshold, perioperative opioid use, and postoperative complications in colorectal cancer surgery. STUDY DESIGN A total of 112 patients, who were enrolled in this prospective, observational trial, were divided into 2 groups based on their preoperative serum 25-hydroxyvitamin D (25 [OH] D3) levels: (1) group D: vitamin D-deficient group (< 20 ng/mL); and (2) group S: vitamin D-sufficient group (>= 20 ng/mL). METHODS Primary outcomes were pain threshold indexes, perioperative dosages of opioid use, and postoperative pain. Secondary outcomes were other postoperative complications. RESULTS Preoperative serum level of vitamin D was 14.94 ± 3.10 ng/mL in group D and 24.20 ± 4.80 ng/mL in group S. Significant differences were showed in the 3 indexes of pain threshold and analgesic consumption between the 2 groups (P < 0.05). A low 25 (OH) D3 level was associated with a higher opioid dose of sufentanil. There was an association between 25 (OH) D3 and pain enduring threshold (PET), beta coefficient beta = 0.532, 95% confidential interval (0.440, 0.623), P < 0.001. The history of diabetes mellitus (DM) and vitamin C and vitamin D levels may be risk factors of surgical site infections (SSI), and the binary logistics regression model is statistically significant, chi-squared = 35.028, P < 0.001. LIMITATIONS There is room for further expansion in the sample size. Our study lacked objective indicators to measure pain threshold. Intestinal recovery time and total hospital stay were not included in the final analysis. In the follow-up study, the vitamin D supplementation group should be set and the specific site of colorectal cancer surgery also needs to be divided more carefully. CONCLUSIONS On the basis of the study results, hypovitaminosis D is associated with increased perioperative opioid consumption in colorectal cancer surgery. Sensory perception and pain threshold of patients with insufficient 25 (OH) D3 concentration were more sensitive, and PET was lower. History of DM, vitamin D, and vitamin C may be factors related with SSI. Future studies are needed to investigate their relationship further and discover if postoperative pain and pain threshold can benefit from vitamin D supplementation in these patients.
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8.
Prediction of the Short-Term Risk of New-Onset Renal Dysfunction in Patients with Type 2 Diabetes: A Longitudinal Observational Study.
Xu, J, Shan, X, Xu, Y, Ma, Y, Wang, H
Journal of immunology research. 2022;:6289261
Abstract
BACKGROUND Studies in the past decade have reported many novel biomarkers for predicting the new-onset or progression risk of renal dysfunction in patients with type 2 diabetes (T2D) based on the genomic, metabolomic, and proteomic technologies. These novel predictive markers, however, are difficult to be widely used in clinical practice over the short term due to their high technology content, instability, and high cost. This study was aimed at evaluating the associations of clinical features and six traditional renal markers with the short-term risk of new-onset renal dysfunction in patients with T2D. METHODS This study involved 213 participants with T2D and normal renal function at baseline. The baseline levels of the albumin-to-creatinine ratio (ACR), estimated glomerular filtration rate (eGFR), alpha-1-microglobulin-to-creatinine ratio (A1MCR), neutrophil gelatinase-associated lipocalin-to-creatinine ratio, transferrin-to-creatinine ratio (UTRF/Cr), and retinol-binding protein-to-creatinine ratio (URBP/Cr) were analyzed. Multivariate logistic models were established and validated. RESULTS During the two-year follow-up period, 23.01% participants progressed to renal dysfunction. The basal levels of ACR, A1MCR, UTRF/Cr, and URBP/Cr were the independent risk factors of new-onset renal dysfunction (P < 0.05). Several logistic models incorporating clinical characteristics and these renal markers were constructed for predicting the short-term risk of new-onset renal dysfunction. Comparatively, the model including age, glycated hemoglobin (HbA1c), hypertension, ACR, A1MCR, UTRF/Cr, and URBP/Cr levels at baseline had the highest potential (C - index = 0.785, P < 0.001). This model was validated using the K-fold cross-validation method; the accuracy was 0.815 ± 0.013 in training sets and 0.784 ± 0.019 in validation sets, indicating a good consistency for predicting the new-onset renal dysfunction risk. Finally, a nomogram based on this model was constructed to provide a quantitative tool to assess the individualized risk of short-term new-onset renal dysfunction. CONCLUSION The model incorporating these markers and clinical features may have a high potential to predict the short-term risk of new-onset renal dysfunction.
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9.
Linear and nonlinear analyses of the association between low-density lipoprotein cholesterol and diabetes: The spurious U-curve in observational study.
Ma, Y, Zhou, Z, Li, X, Ding, K, Xiao, H, Wu, Y, Wu, T, Chen, D
Frontiers in endocrinology. 2022;:1009095
Abstract
OBJECTIVE Hyperlipidemia is traditionally considered a risk factor for diabetes. The effect of low-density lipoprotein cholesterol (LDL-C) is counterintuitive to diabetes. We sought to investigate the relationship between LDL-C and diabetes for better lipid management. METHODS We tested the shape of association between LDL-C and diabetes and created polygenic risk scores of LDL-C and generated linear Mendelian randomization (MR) estimates for the effect of LDL-C and diabetes. We evaluated for nonlinearity in the observational and genetic relationship between LDL-C and diabetes. RESULTS Traditional observational analysis suggested a complex non-linear association between LDL-C and diabetes while nonlinear MR analyses found no evidence for a non-linear association. Under the assumption of linear association, we found a consistently protective effect of LDL-C against diabetes among the females without lipid-lowering drugs use. The ORs were 0.84 (95% CI, 0.72-0.97, P=0.0168) in an observational analysis which was more prominent in MR analysis and suggested increasing the overall distribution of LDL-C in females led to an overall decrease in the risk of diabetes (P=0.0258). CONCLUSIONS We verified the liner protective effect of LDL-C against diabetes among the females without lipid-lowering drug use. Non-linear associations between LDL-C against diabetes in observational analysis are not causal.
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10.
Mesangial IgM deposition predicts renal outcome in patients with IgA nephropathy: a multicenter, observational study.
Tan, L, Tang, Y, Pei, GQ, Zhong, ZX, Tan, JX, Ma, Y, Wang, DG, Zhou, L, Sheikh-Hamad, D, Qin, W
Clinical and experimental medicine. 2021;(4):599-610
Abstract
Mesangial IgM deposition is found in patients with immunoglobulin A nephropathy (IgAN). This study aims to investigate the relationships between mesangial IgM deposition and disease progression in IgAN patients. A total of 1239 patients with biopsy-proven primary IgAN were enrolled in this multicenter, observational study between January 2013 and August 2017. According to the degree of IgM deposition, 1239 patients were divided into three groups: Grade 0 (no or trace; n = 713, 57.55%), Grade 1 (mild; n = 414, 33.41%), Grades 2 + 3 (moderate and marked; n = 112, 9.04%). Using a 1:1 propensity score matching (PSM) method identifying age, gender and treatment modality to minimize confounding factors, 1042 matched patients (out of 1239) with different degrees of IgM deposition were enrolled to evaluate the severity of baseline clinicopathological features and renal outcome: Grade 0 (n = 521, 50.00%), Grade 1 (n = 409, 39.25%), Grades 2 + 3 (n = 112, 10.75%). Kaplan-Meier and Cox proportional hazards analyses were performed to determine whether different degrees of mesangial IgM deposition are associated with varying renal outcomes in IgAN. During a mean follow-up of 48.90 ± 23.86 and 49.01 ± 23.73 months, before and after adjusting for propensity scores, respectively, the rate of complete remission (CR) was progressively lower with increased IgM deposition in both unmatched (63.39%, 46.14%, 45.54%) and matched cohort (61.80%, 46.45%, 45.54%), whereas the proportion of patients progressing to end-stage renal disease (ESRD) showed reverse correlation (P < 0.001). Kaplan-Meier analysis indicated negative correlation between the intensity of mesangial IgM deposits and cumulative renal survival (all P < 0.05). Moreover, Cox regression analysis revealed that the degree of mesangial IgM deposition predicted renal outcome independent of MESTC score and clinical variables in the unmatched (Grade 1, HR, 1.59; 95% CI, 1.11-2.29; P = 0.01; Grades 2 + 3, HR, 1.69; 95% CI, 1.02-2.08; P = 0.04) and matched cohort (Grade 1, HR, 1.84; 95% CI, 1.19-2.85; P = 0.01; Grades 2 + 3, HR, 1.91; 95% CI, 1.01-3.24; P = 0.04). Mesangial IgM deposition is associated with histological activity, clinical severity and renal outcome and is an independent risk factor for poor renal prognosis in IgAN. TRIAL REGISTRATION TCTR, TCTR20140515001. Registered May 15, 2014, http://www.clinicaltrials.in.th/index.php?tp=regtrials&menu=trialsearch&smenu=fulltext&task=search&task2=view1&id=1074 .