The association of peritoneal dialysis and hemodialysis on mitral and aortic valve calcification associated mortality: a meta-analysis.

Cardiac valve calcification (CVC), characterized by the accumulation of calcium in the heart valves, is highly prevalent among patients undergoing dialysis. This meta-analysis aimed to provide an updated summary of recent studies on the prognostic value of CVC in patients undergoing dialysis. We conducted a search of PubMed, Embase, and Web of Science to identify observational studies investigating cardiovascular or all-cause mortality associated with CVC in dialysis patients until March 2023. Hazard ratios (HRs) and the corresponding 95% confidence intervals (CIs) were calculated for the meta-analysis, and the strength and significance of the associations between CVC and mortality outcomes in dialysis patients were assessed. From 6218 initially identified studies, we included 10 critical studies with a total of 3376 dialysis patients in a further meta-analysis. Pooled analyses demonstrated a significant association between CVC and an elevated risk of all-cause and cardiovascular mortality in dialysis patients. In our study, we discovered HRs of 1.592 (95% CI 1.410-1.797) for all-cause mortality and 2.444 (95% CI 1.632-3.659) for cardiovascular mortality. Furthermore, subgroup analysis revealed elevated all-cause mortality among patients with mitral valve calcification (HR 1.572; 95% CI 1.200-2.060) compared to those with aortic valve calcification (HR 1.456; 95% CI 1.105-1.917). Similarly, patients undergoing peritoneal dialysis faced a greater risk for all-cause mortality (HR 2.094; 95% CI 1.374-3.191) than those on hemodialysis (HR 1.553; 95% CI 1.369-1.763). This highlights the possibility of CVC being an independent risk factor for dialysis patients, particularly in relation to mitral valve calcification or peritoneal dialysis.

The Clinical Course of New-Onset Ocular Myasthenia Gravis Caused by Pfizer-BioNTech COVID-19 Vaccine.

PURPOSE: Myasthenia gravis (MG) caused by COVID-19 vaccine had been reported, but the clinical course of new-onset ocular MG had never been described. We would like to document the clinical course of a patient with new-onset ocular MG which was caused by Pfizer-BioNTech COVID-19 vaccine. CASE REPORT: A 39-year-old woman noticed diplopia one week after she accepted the first dose of Pfizer- BioNTech COVID-19 vaccine. Diagnosis of ocular MG was made after investigation. Despite intravenous immunoglobulins, pyridostigmine and prednisolone therapy, she had no improvement until 10 days after treatment. She then rapidly improved, and almost fully recovered in the following 10 days. We had observed this patient for 8 months. After tapering off steroid, she remained stable to date, though she still suffered from transient diplopia on awakening. CONCLUSION: No matter the symptoms at onset, the clinical course or the response to steroid therapy was identical to ocular MG that we had ever known. Ocular MG caused by COVID-19 vaccine could probably be an iatrogenic life-long disease.

Association between ambient air pollutant interaction with kidney function in a large Taiwanese population study.

The associations and interactions between kidney function and other air pollutants remain poorly defined. Therefore, the aim of this study was to evaluate associations among air pollutants, including particulate matter (PM) with a diameter ≤ 2.5 µm (PM2.5), PM10 (PM with a diameter ≤ 10 µm), carbon monoxide (CO), nitrogen oxide (NO), nitrogen oxides (NOx), sulfur dioxide (SO2), and ozone (O3) with kidney function, and explore interactions among these air pollutants on kidney function. We used the Taiwan Air Quality Monitoring and Taiwan Biobank databases to derive data on community-dwelling individuals in Taiwan and daily air pollution levels, respectively. We enrolled 26,032 participants. Multivariable analysis showed that high levels of PM2.5, PM10, O3 (all p < 0.001), and SO2 (p = 0.001) and low levels of CO, NO (both p < 0.001), and NOx (p = 0.047) were significantly correlated with low estimated glomerular filtration rate (eGFR). With regard to negative effects, the interactions between PM2.5 and PM10 (p < 0.001), PM2.5 and PM10 (p < 0.001), PM2.5 and SO2, PM10 and O3 (both p = 0.025), PM10 and SO2 (p = 0.001), and O3 and SO2 (p < 0.001) on eGFR were significantly negatively. High PM10, PM2.5, O3, and SO2 were associated with a low eGFR, whereas high CO, NO, and NOx were associated with a high eGFR. Furthermore, negative interactions between PM2.5 and PM10, O3 and SO2, PM10 and O3, PM2.5 and SO2, and PM10 and SO2 on eGFR were observed. The findings of this study have important implications for public health and environmental policy. Specifically, the results of this study may be useful in individuals and organizations to take action to reduce air pollution and promote public health.

Association between air pollutants with calcaneus ultrasound T-score change in a large Taiwanese population follow-up study.

Exposure to ambient air pollution has been associated with increased rates of mortality and morbidity and a shorter life expectancy. Few studies have evaluated the associations between air pollution and change in calcaneus ultrasound T-score (∆T-score). Therefore, in this longitudinal study, we explored these associations in a large group of Taiwanese participants. We used data from the Taiwan Biobank database and Taiwan Air Quality Monitoring Database, which contains detailed daily data on air pollution. We identified 27,033 participants in the Taiwan Biobank database who had both baseline and follow-up data. The median follow-up period was 4 years. The studied ambient air pollutants included particulates of 2.5 µm or less (PM2.5), particulates of 10 µm or less (PM10), ozone (O3), carbon monoxide (CO), sulfur dioxide (SO2), nitric oxide (NO), nitrogen dioxide (NO2), and nitrogen oxide (NOx). Multivariable analysis showed that PM2.5 (ß, -0.003; 95% confidence interval (CI), -0.004 to -0.001; p < 0.001), PM10 (ß, -0.005; 95% CI, -0.006 to -0.004, p < 0.001), O3 (ß, -0.008; 95% CI, -0.011 to -0.004; p < 0.001), and SO2 (ß, -0.036; 95% CI, -0.052 to -0.020; p < 0.001) were negatively associated with ∆T-score, and that CO (ß, 0.344; 95% CI, 0.254, 0.433; p < 0.001), NO (ß, 0.011; 95% CI, 0.008 to 0.015; p < 0.001), NO2 (ß, 0.011; 95% CI, 0.008 to 0.014; p < 0.001), and NOx (ß, 0.007; 95% CI, 0.005 to 0.009; p < 0.001) were positively significantly associated with ∆T-score. Furthermore, PM2.5 and SO2 (ß, -0.014; 95% CI, -0.016 to -0.013; p < 0.001) and PM10 and SO2 (ß, -0.008; 95% CI, -0.009 to -0.007; p < 0.001) had synergistic negative effects on ∆T-score. In conclusion, we found that high PM2.5, PM10, O3, and SO2 were associated with a rapid decline in T-score, whereas high CO, NO, NO2, and NOx were associated with a slow decline in T-score. Furthermore, PM2.5 and SO2 and PM10 and SO2 had synergistic negative effects on ∆T-score, causing an acceleration in T-score decline. These findings may be helpful when developing policies on air pollution regulation.

Metabolic Syndrome and Obesity-Related Indices Are Associated with Rapid Renal Function Decline in a Large Taiwanese Population Follow-Up Study.

A rapid decline in renal function can cause many complications, and therefore it is important to detect associated risk factors. Few studies have evaluated the associations among obesity-related indices and metabolic syndrome (MetS) with renal function decline. This longitudinal study aimed to explore these relationships in a large cohort of Taiwanese participants. The studied obesity-related indices were waist-to-height ratio (WHtR), A body shape index (ABSI), visceral adiposity index (VAI), lipid accumulation product (LAP), waist-to-hip ratio (WHR), body roundness index (BRI), conicity index (CI), body mass index (BMI), body adiposity index (BAI) and abdominal volume index (AVI). We included 122,068 participants in the baseline study, of whom 27,033 were followed for a median of four years. The baseline prevalence of MetS was 17.7%. Multivariable analysis showed that the participants with MetS and high VAI, WHtR, WHR, LAP, CI, BRI, BMI, BAI, AVI, and ABSI values were significantly associated with a high baseline estimated glomerular filtration rate (eGFR) (all p < 0.001). In addition, the participants with MetS (p < 0.001), high WHtR (p = 0.007), low LAP (p < 0.001), high BRI (p = 0.002), high CI (p = 0.002), high AVI (p = 0.001), high VAI (p = 0.017), and high ABSI (p = 0.013) were significantly associated with a low △eGFR, indicating a rapid decline in renal function. These results showed associations between MetS and high values of obesity-related indices except LAP with high baseline eGFR and rapid decline in kidney function. These findings suggest that screening for MetS and obesity may help to slow the decline in renal function in high-risk populations.

Low Albumin, Low Bilirubin, and High Alfa-Fetoprotein Are Associated with a Rapid Renal Function Decline in a Large Population Follow-Up Study.

A rapid decline in renal function is associated with high cardiovascular morbidity and mortality, and therefore it is important to identify those at high-risk of rapid renal function decline. The relationship between liver function and renal function is unclear. Therefore, in this longitudinal study, we aimed to investigate associations between liver function and rapid renal function decline. A total of 27,116 participants were enrolled from the Taiwan Biobank and followed for 3.8 years. A rapid decline in renal function was defined as a decline in estimated glomerular filtration rate (eGFR) of ≥25%. Binary logistic regression analysis was used to identify associations between liver function parameters (glutamic-oxalacetic transaminase, glutamic-pyruvic transaminase, albumin, α-fetoprotein [AFP], total bilirubin, and gamma-glutamyl transpeptidase) and eGFR decline ≥ 25%. The rate of eGFR decline of ≥25% was 4.7%. Multivariable analysis showed that low albumin (odds ratio [OR], 0.173; p < 0.001), high AFP (OR, 1.006; p = 0.010), and low total bilirubin (OR, 0.588; p < 0.001) were significantly associated with eGFR decline ≥ 25% in all study participants. After excluding abnormal liver function, low albumin (OR, 0.189; p < 0.001), high AFP (OR, 1.007; p = 0.011), and low total bilirubin (OR, 0.569; p = 0.001) were still significantly associated with an eGFR decline of ≥25%. The results of this large population-based cohort study showed associations between low albumin, low bilirubin, and high AFP with a rapid renal function decline. A greater understanding of potential risk factors for a rapid decline in renal function may help to reduce the burden of renal failure in this high-risk population.

Increased Proteinuria is Associated with Increased Aortic Arch Calcification, Cardio-Thoracic Ratio, Rapid Renal Progression and Increased Overall and Cardiovascular Mortality in Chronic Kidney Disease.

Background: Patients with chronic kidney disease (CKD) are associated with high prevalence rates of proteinuria, vascular calcification and cardiomegaly. In this study, we investigated relationships among proteinuria, aortic arch calcification (AoAC) and cardio-thoracic ratio (CTR) in patients with CKD stage 3A-5. In addition, we investigated correlations among proteinuria and decline in renal function, overall and cardiovascular (CV) mortality. Methods: We enrolled 482 pre-dialysis patients with CKD stage 3A-5, and determined AoAC and CTR using chest radiography at enrollment. The patients were stratified into four groups according to quartiles of urine protein-to-creatinine ratio (UPCR). Results: The patients in quartile 4 had a lower estimated glomerular filtration rate (eGFR) slope, and higher prevalence rates of rapid renal progression, progression to commencement of dialysis, overall and CV mortality. Multivariable analysis showed that a high UPCR was associated with high AoAC (unstandardized coefficient ß: 0.315; p = 0.002), high CTR (unstandardized coefficient ß: 1.186; p = 0.028) and larger negative eGFR slope (unstandardized coefficient ß: -2.398; p < 0.001). With regards to clinical outcomes, a high UPCR was significantly correlated with progression to dialysis (log per 1 mg/g; hazard ratio [HR], 2.538; p = 0.003), increased overall mortality (log per 1 mg/g; HR, 2.292; p = 0.003) and increased CV mortality (log per 1 mg/g; HR, 3.195; p = 0.006). Conclusions: Assessing proteinuria may allow for the early identification of high-risk patients and initiate interventions to prevent vascular calcification, cardiomegaly, and poor clinical outcomes.

Comparison of the Effects of Fasting Glucose, Hemoglobin A1c, and Triglyceride-Glucose Index on Cardiovascular Events in Type 2 Diabetes Mellitus.

The triglyceride-glucose (TyG) index has been correlated with insulin resistance. We aim to investigate the role of the TyG index on cardiovascular (CV) events in type 2 diabetes mellitus and compare the roles of fasting glucose, hemoglobin A1c, and the TyG index in predicting CV events. This retrospective study enrolled 3524 patients with type 2 diabetes from the Kaohsiung Medical University Research Database in 2009 in this longitudinal study and followed them until 2015. The TyG index was calculated as log (fasting triglyceride level (mg/dL) × fasting glucose level (mg/dL)/2). CV events included myocardial infarction, unstable angina, stroke, hospitalization for coronary artery disease, peripheral artery disease, and CV-related death. The association between variables and CV events was assessed using a multivariable stepwise Cox proportional hazard analysis. Two hundred and fifteen CV events (6.1%) were recorded during a follow-up period of 5.93 years. The multivariable stepwise analysis showed that high fasting glucose (HR, 1.007; p < 0.001) and a high TyG index (HR, 1.521; p = 0.004) but not hemoglobin A1c or triglycerides were associated with a higher rate of CV events. Adding fasting glucose and the TyG index to the basic model improved the predictive ability of progression to a CV event (p < 0.001 and p = 0.018, respectively), over that of hemoglobin A1c (p = 0.084) and triglyceride (p = 0.221). Fasting glucose and the TyG index are useful parameters and stronger predictive factors than hemoglobin A1c and triglyceride for CV events and may offer an additional prognostic benefit in patients with type 2 diabetes.

A Microfluidic Device for Simultaneous Extraction of Plasma, Red Blood Cells, and On-Chip White Blood Cell Trapping.

This study reports a microfluidic device for whole blood processing. The device uses the bifurcation law, cross-flow method, and hydrodynamic flow for simultaneous extraction of plasma, red blood cells, and on-chip white blood cell trapping. The results demonstrate successful plasma and red blood cell collection with a minimum dilution factor (0.76x) and low haemolysis effect. The extracted red blood cells can also be applied for blood type tests. Moreover, the device can trap up to ~1,800 white blood cells in 20 minutes. The three components can be collected simultaneously using only 6 µL of whole blood without any sample preparation processes. Based on these features, the microfluidic device enables low-cost, rapid, and efficient whole blood processing functionality that could potentially be applied for blood analysis in resource-limited environments or point-of-care settings.