Comparison of Inflammatory Markers in the Diagnosis of Metabolic Syndrome in Hemodialysis Patients: A Multicenter Observational Study

Growth differentiation factor-15: A marker for diabetic kidney disease in patients with metabolic-associated fatty liver disease

BACKGROUND

Growth/differentiation factor-15 (GDF-15) plays a crucial role in modulating inflammation and fibrosis and is emerging as a potential biomarker in metabolic diseases. This study investigated the association between circulating GDF-15 levels and the development of diabetic kidney disease (DKD) in patients with type 2 diabetes mellitus (T2DM), with or without metabolic dysfunction-associated fatty liver disease (MAFLD).

METHODS

In this prospective observational study, participants were stratified into three groups: those with T2DM and MAFLD (Group A) and those with T2DM and no MAFLD (Group B), alongside a healthy control group (Group C). Comprehensive clinical evaluations and laboratory assessments, including measurements of GDF-15, metabolic profiles, liver enzymes, and renal function, were performed.

RESULTS

GDF-15 levels demonstrated a stepwise elevation from controls to T2DM patients, with the highest levels observed in patients with MAFLD (1929 ± 412 pg/mL in Group A, 1655 ± 368 pg/mL in Group B, and 1246 ± 245 pg/mL in Group C; p < 0.001). DKD was diagnosed in 51.4 % of patients in Group A compared to 37.1 % in Group B (p < 0.001). Multivariate analysis identified GDF-15 as the sole independent predictor of DKD (p = 0.01). ROC curve analysis revealed that a GDF-15 cutoff value of ≥1890.51 pg/mL provided an AUC of 0.951, with a sensitivity of 94.2 % and specificity of 87.1 %.

CONCLUSION

Elevated GDF-15 levels are independently associated with an increased risk of DKD in T2DM patients, particularly in those with MAFLD. These findings highlight the potential of GDF-15 as an early biomarker for DKD.

Association of Three Novel Inflammatory Markers: Lymphocyte to HDL-C Ratio, High-Sensitivity C-Reactive Protein to HDL-C Ratio and High-Sensitivity C-Reactive Protein to Lymphocyte Ratio With Metabolic Syndrome

OBJECTIVE

We aimed to compare the association of three novel inflammatory indicators with metabolic syndrome (MetS) among Mashhad stroke and heart atherosclerotic disorder (MASHAD) cohort participants.

METHODS

According to the International Diabetes Federation (IDF) criteria, the cohort participants were divided into the MetS(+) and MetS(-) groups. The lymphocyte to high-density lipoprotein cholesterol (HDL-C) ratio (LHR), high-sensitivity C-reactive protein (hs-CRP) to HDL-C ratio (HCHR) and hs-CRP to lymphocyte ratio (HCLR) were calculated and were compared between the groups. Binary logistic regression (LR) analysis was performed to find the association of the indices with the presence of MetS among men and women. Receiver-operating characteristic (ROC) curve analysis was used to establish cut-off values in predicting MetS for men and women. p-Values <0.05 were considered as statistically significant.

RESULTS

Among a total of 8890 participants (5500 MetS(-) and 3390 MetS(+)), LHR, HCHR and HCLR were significantly higher in the MetS(+) group than in MetS(-) group (p < 0.001). In LR analysis, after adjusting for multiple cofounders, LHR remained an independent factor for the presence of MetS among men (OR: 1.254; 95% CI: 1.202-1.308; p < 0.001) and women (OR: 1.393; 95% CI: 1.340-1.448; p < 0.001). HCHR also remained an independent factor for the presence of MetS only in women (OR: 1.058; 95% CI: 1.043-1.073; p < 0.001). ROC curve analysis showed that LHR had the higher AUC for predicting MetS in both men (AUC: 0.627; 95% CI: 0.611-0.643; p < 0.001) and women (AUC: 0.683; 95% CI: 0.670, 0.696; p < 0.001).

CONCLUSION

This suggests that among both genders, the LHR as an inexpensive and easy-to-access marker has a better diagnostic performance and could be a promising alternative to the traditional expensive inflammatory markers such as hs-CRP for the evaluation of inflammation in patients with MetS.

Prevalence of metabolic syndrome in patients with end-stage renal disease: a systematic review and meta-analysis

BACKGROUND

Metabolic syndrome, a significant risk factor for cardiovascular mortality in patients with end-stage renal disease, profoundly impacts patient prognosis and survival. Despite its clinical importance, the prevalence of metabolic syndrome remains unexplored in this population. Therefore, the objective of this study was to systematically assess the prevalence of metabolic syndrome among patients with end-stage renal disease and raise awareness among healthcare professionals.

METHODS

We conducted a comprehensive search in CNKI, WANFANG, WeiPu, CBM, PubMed, Web of Science, EMBASE, and The Cochrane Library databases. The search time was until August 21, 2023. Standardized tables were employed for data extraction and imported into Stata 16.0 software for subsequent meta-analysis. A random-effects model was employed to estimate combined prevalence and 95% confidence intervals. Subgroup and sensitivity analyses were conducted to explore potential sources of heterogeneity, while publication bias was evaluated using a funnel plot and Egger's test. This study has been registered with PROSPERO under the registration number CRD42023456284.

RESULTS

This meta-analysis comprised 35 studies involving a total of 14,202 participants. The pooled prevalence estimate for metabolic syndrome was 49.0% [95% CI (46.0,53.0)]. We conducted subgroup analyses based on participant characteristics, gender distribution, publication year, national economic status, diagnostic criteria employed, and components of metabolic syndrome.

CONCLUSIONS

The prevalence of metabolic syndrome is higher among patients with end-stage renal disease, necessitating early prevention and control measures to reduce its incidence and delay the progression of the disease, thereby improving patient life expectancy.

Associations of metabolic syndrome, its severity with cognitive impairment among hemodialysis patients

BACKGROUND

In the general population, metabolic syndrome (MetS) is associated with increased risk of cognitive impairment, including global and specific cognitive domains. These associations are not well studied in patients undergoing hemodialysis and were the focus of the current investigation.

METHODS

In this multicenter cross-sectional study, 5492 adult hemodialysis patients (3351 men; mean age: 54.4 ± 15.2 years) treated in twenty-two dialysis centers of Guizhou, China were included. The Mini-Mental State Examination (MMSE) was utilized to assess mild cognitive impairment (MCI). MetS was diagnosed with abdominal obesity, hypertension, hyperglycemia, and dyslipidemia. Multivariate logistic and linear regression models were used to examine the associations of MetS, its components, and metabolic scores with the risk of MCI. Restricted cubic spline analyses were performed to explore the dose-response associations.

RESULTS

Hemodialysis patients had a high prevalence of MetS (62.3%) and MCI (34.3%). MetS was positively associated with MCI risk with adjusted ORs of 1.22 [95% confidence interval (CI) 1.08-1.37, P = 0.001]. Compared to no MetS, adjusted ORs for MCI were 2.03 (95% CI 1.04-3.98) for 22.51 (95% CI 1.28-4.90) for 3, 2.35 (95% CI 1.20-4.62) for 4, and 2.94 (95% CI 1.48-5.84) for 5 components. Metabolic syndrome score, cardiometabolic index, and metabolic syndrome severity score were associated with increased risk of MCI. Further analysis showed that MetS was negatively associated with MMSE score, orientation, registration, recall and language (P < 0.05). Significant interaction effect of sex (P for interaction = 0.012) on the MetS-MCI was observed.

CONCLUSION

Metabolic syndrome was associated with MCI in hemodialysis patients in a positive dose-response effect.