• Users Online: 113
  • Print this page
  • Email this page

 
Table of Contents
JOURNAL SCAN
Year : 2020  |  Volume : 9  |  Issue : 4  |  Page : 251-252

Journal scan


Provenance and Peer Review Commissioned; Internally Peer Reviewed

Date of Web Publication5-Jan-2021

Correspondence Address:
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/JCSR.JCSR_84_20

Rights and Permissions

How to cite this article:
Suresh V, Bitla A R. Journal scan. J Clin Sci Res 2020;9:251-2

How to cite this URL:
Suresh V, Bitla A R. Journal scan. J Clin Sci Res [serial online] 2020 [cited 2021 Jan 20];9:251-2. Available from: https://www.jcsr.co.in/text.asp?2020/9/4/251/306199



High day-to-day and diurnal variability of oxidative stress and inflammation biomarkers in people with type 2 diabetes mellitus and healthy individuals

Oxidative stress and inflammation are linked in the pathophysiology of cardiovascular disease (CVD) risk in patients with type 2 diabetes mellitus (T2D). Markers representing oxidative stress and inflammation are frequently measured to get an insight in the oxidative stress and inflammation-mediated damage and thus assess the CVD risk in these patients. In the present study, the authors assessed the intra-individual variability in the markers of oxidative stress/antioxidant defence (F2-isoprostanes, protein carbonyls, total antioxidant capacity [TAC], glutathione peroxidase activity, IL-6, 8 and 10 and TNF-α) and inflammation (IL-6, 8 and 10 and TNF-α) in ten men and women diagnosed with T2D along with ten controls (CON). Venous samples were collected from the study subjects at six different time points on different days. This included three in the morning (after overnight fast) and three in the afternoon. The authors observed that the markers of oxidative stress/antioxidant defence and inflammation were similar between the groups. The variability was found to be more in the inflammatory markers (coefficient of variation [CV] ranging from 64.0% to 92.1% and 100.9% to 259.0% for intra- and inter-individual differences, respectively). The variability in the oxidative stress markers was lower (CVs ranging from 7.4% to 31.2% for intra-individual and 8.6% to 43.0% for inter-individual), with the lowest variation being observed for TAC (CV – 7% in patients with T2D and 8% for CON). Protein carbonyls showed more variability in the afternoon (CV of 34%) compared to morning (24%) in CON. Afternoon measurements for IL-6 showed different intra-individual CV between groups (93% in T2D and 60% in CON). The authors cautioned the use of oxidative stress and inflammatory biomarkers in any clinical decision-making in patients with T2D, due to the high variability and poor reliability observed in their study.


  Comment Top


This study emphasises the need for having a thorough knowledge of the pre-analytical factors which can influence decision-making. The intra- and inter-individual variability observed in patients with T2D thus raises concern on the interpretation of results from research studies. Having a good sample size and maintaining the collection time uniform for cases and CON could be helpful in minimising the bias, which is likely to be introduced due to the variability observed.

Mallard AR, Hollekim-Strand SM, Ingul CB, Coombes JS. High day-to-day and diurnal variability of oxidative stress and inflammation biomarkers in people with type 2 diabetes mellitus and healthy individuals. Redox Rep 2020;25:64-9.

Analytical performance assessment and improvement by means of the failure mode and effect analysis

Risk management is an important accreditation requirement to ensure quality of processes and increase patient safety. The authors used the failure mode and effect analysis (FMEA) tool to assess the analytical performance and measure the effectiveness of the risk mitigation actions implemented in their study. Selection of measurands in the study was based on the measurement errors obtained for the results of the External Quality Assessment (EQA) Scheme. These EQA results for the year 2017 were used for performing an FMEA based on a risk priority number obtained which was converted into a Sigma value (σFMEA). Root-cause analysis for σFMEA <3 followed by the identification of causes and implementation of corrective measures was done. Further, an FMEA of 2018 was carried out to assess the effectiveness of the actions taken in the previous year. Parameters with σFMEA <3 were alkaline phosphatase (ALP) and sodium (Na). FMEA of 2018 showed that none of the measurands showed σFMEA <3 while the σFMEA for ALP and Na had increased.


  Comment Top


Improving quality of results and ensuring patient safety through the release of accurate results are always of prime importance for a laboratory physician. While FMEA, an important risk assessment tool, has more often been applied to the pre-analytical phase, this study shows the importance of application of FMEA to the analytical phase for decreasing analytical errors, which is a controllable factor for the laboratory unlike the pre-analytical phase which is out of control of the laboratory physician. However, standardisation of FMEA procedures and risk scoring limits the comparability of results observed by various researchers. A consensus on uniform scoring system based on the nature of the risk and its effect on patient results is the need of the hour.

Guiñón L, Soler A, Gisell Díaz M, Fernández RM, Rico N, Bedini JL, et al. Analytical performance assessment and improvement by means of the failure mode and effect analysis (FMEA). Biochem Med (Zagreb) 2020;30:020703.

The value of urine biochemical parameters in the prediction of the severity of coronavirus disease 2019

A viral nucleic acid load assessment and some haematological indicators have been used in the diagnosis and identification of the severity of COVID-19. The authors investigated the value of urine biochemical parameters for the prediction of the severity of COVID-19. The authors studied the relationship between urine biochemical parameters and severity of COVID-19 among 119 patients with COVID-19 at Renmin Hospital of Wuhan University. The patients were divided into three groups (moderate 67, severe 42 and critical 10) based on the severity of COVID-19. Forty-five healthy persons were enrolled as healthy controls. Patients with COVID-19 showed a higher positive rate for urine occult blood and proteinuria (PRO), lower urine specific gravity value and higher urine potential of hydrogen compared to healthy controls. The severe and critical groups showed higher positive rates for urine glucose (GLU-U) and PRO compared to the moderate cases. The study showed that GLU-U and PRO may be helpful for the differentiation of COVID-19 severity.


  Comment Top


Blood chemistry results in patients with severe COVID-19 disease are characterised by lower lymphocytes, higher lactate dehydrogenase, higher creatine kinase and its isoenzymes and higher C-reactive protein and inflammatory factors. This study shows the importance of simple urine chemistry results which can be done as a part of the point-of-care test when urine dry chemistry is utilised. The ease of measurement, convenience and faster results could be useful in identifying severe cases and timely intervention.

Liu R, Ma Q, Han H, Su H, Liu F, Wu K, et al. The value of urine biochemical parameters in the prediction of the severity of coronavirus disease 2019. Clin Chem Lab Med 2020;58:1121-4.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.






 

Top
 
  Search
 
    Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
    Access Statistics
    Email Alert *
    Add to My List *
* Registration required (free)  

 
  In this article
Comment
Comment
Comment

 Article Access Statistics
    Viewed46    
    Printed2    
    Emailed0    
    PDF Downloaded3    
    Comments [Add]    

Recommend this journal