Echocardiography is the most valuable tool for assessing cardiac abnormalities chronic kidney disease (CKD) patients although it has limitations, including the high cost of equipment and the need for specialized personnel. Assessment of volume status is important not only for volume management, but also for the prevention of cardiovascular disease patients with CKD.
More recently, bioimpedance is gaining acceptance as a way to quantitatively assess hydration status of the patient’s bedside.
127 patients were treated for their first dialysis treatment plan listed. The echocardiography and bioimpedance spectroscopy (BIS) is performed. The relationship between the data echocardiography and clinical values of NT-proBNP and OH / ECW examined.
OH / ECW, which shows the relative fluid overload, it is positively associated with LA dimension (r = 0.25, P = 0.007), LAVI (r = 0.32, P <0.001), and E / e’rasio (r = 0.38, P <0.001). While OH / ECW was not significantly associated with values such as LVEDD echocardiography, LVEDV, LVMI and LVEF, the NT-proBNP were significantly associated with all echocardiographic parameters.
Multivariate logistic regression analysis showed E / e’ratio (odds ratio, 1.14 [95% confidence interval (CI), 1.01 to 1.29]; P = 0.031), NT-proBNP (odds ratio, 4.78 [95% CI, 1.51 to 15.11]; P = 0.008), and albumin (odds ratio, 0.22 [95% CI, 0.08 to 0.66]; P = 0.007) were significantly associated with OH / ECW.
Since OH / ECW measured by BIS is associated with echocardiographic parameters associated with diastolic dysfunction, early screening through laboratory findings, including serum albumin in conjunction with the OH / ECW and NT-proBNP, may encounter patients with diastolic dysfunction risk. Our studies show that timely detection of excess fluid in patients with CKD and their proper treatment can help reduce diastolic dysfunction. Further research may be needed to validate the consistency of this association in other stages of CKD.
Research Techniques Made Simple: Mass Spectrometry for Analysis of Proteins in Dermatological Research.
Identifying proteins that were previously unknown or detect the presence of proteins known in the study sample is important for many experiments conducted in the life sciences, including dermatology.
Sensitive protein detection can help explain the new intervention targets and mechanisms of disease, such as in autoimmune blistering skin disease, atopic eczema, or other conditions. Historically, peptides from a single highly purified proteins were sequenced, with many limitations, the gradual degradation of the N-terminus to the C-terminus with subsequent identification by UV absorbance spectroscopy of the released amino acids (eg, Edman degradation).
More recently, however, the availability of protein database comprehensively from different species (derived from high-throughput next-generation sequencing the genomes of organisms) and analysis tools of bioinformatics advanced has facilitated the development and use of mass spectrometry for identification and global analysis of proteins, are summarized as mass proteomics based spectrometry.
Is a mass spectrometry analysis technique to measure the mass (m) -to-charge (z) ratio of ionized biological molecules such as peptides. Proteins can be identified by connecting the experimental mass spectrometry peptide derived spectrum with the theoretical spectrum predicted from protein databases.
Here we briefly explain how this technique works, how it can be used for protein identification, and how this knowledge can be applied in explaining human biology and disease.