Clinical Biochemistry Services in India

1989 ◽  
pp. 825-832
Author(s):  
A. S. Kanagasabapathy ◽  
S. Swaminathan
2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Xavier Ruiz-Plazas ◽  
Esther Rodríguez-Gallego ◽  
Marta Alves ◽  
Antonio Altuna-Coy ◽  
Javier Lozano-Bartolomé ◽  
...  

Abstract Background Conventional clinical biomarkers cannot accurately differentiate indolent from aggressive prostate cancer (PCa). We investigated the usefulness of a biomarker panel measured exclusively in biofluids for assessment of PCa aggressiveness. Methods We collected biofluid samples (plasma/serum/semen/post-prostatic massage urine) from 98 patients that had undergone radical prostatectomy. Clinical biochemistry was performed and several cytokines/chemokines including soluble(s) TWEAK, sFn14, sCD163, sCXCL5 and sCCL7 were quantified by ELISA in selected biofluids. Also, the expression of KLK2, KLK3, Fn14, CD163, CXCR2 and CCR3 was quantified by real-time PCR in semen cell sediment. Univariate, logistic regression, and receiver operating characteristic (ROC) analyses were used to assess the predictive ability of the selected biomarker panel in conjunction with clinical and metabolic variables for the evaluation of PCa aggressiveness. Results Total serum levels of prostate-specific antigen (PSA), semen levels of sTWEAK, fasting glycemia and mRNA levels of Fn14, KLK2, CXCR2 and CCR3 in semen cell sediment constituted a panel of markers that was significantly different between patients with less aggressive tumors [International Society of Urological Pathology (ISUP) grade I and II] and those with more aggressive tumors (ISUP grade III, IV and V). ROC curve analysis showed that this panel could be used to correctly classify tumor aggressiveness in 90.9% of patients. Area under the curve (AUC) analysis revealed that this combination was more accurate [AUC = 0.913 95% confidence interval (CI) 0.782–1] than a classical non-invasive selected clinical panel comprising age, tumor clinical stage (T-classification) and total serum PSA (AUC = 0.721 95% CI 0.613–0.830). Conclusions TWEAK/Fn14 axis in combination with a selected non-invasive biomarker panel, including conventional clinical biochemistry, can improve the predictive power of serum PSA levels and could be used to classify PCa aggressiveness.


Author(s):  
Fengfeng Kang ◽  
Wei Wang ◽  
Zhiguo Wang

AbstractAccurate and reliable testing reports play an important role in the prevention, diagnosis, treatment and prognosis of disease. However, little is known about the appropriateness of laboratory testing reporting in China. This national survey takes clinical biochemistry as an example to investigate the state of reporting appropriateness in our country.An electronic questionnaire was sent to 1209 laboratories. The participants were asked to retrospectively evaluate the error rates of the following quality indicators: report template integrity, report content filling integrity, report delay, report recall, non-conformities between instrument and laboratory information system (LIS) data, non-conformities between report and request, report notification error, and report modification. Mann-Whitney and Kruskal-Wallis tests were used to identify the potential impacts of reporting appropriateness.A total of 662 of the 1209 laboratories (55%) submitted the survey results, with three returning incomplete data. For the integrity of the report, only 31% of the laboratories had a complete report template that contained all of 21 elements. In addition, the overall error rate of content filling integrity was 45.9% for 19,770 pieces of reports. The overall σ-values of other six quality indicators were all >4, and no significant difference was found among different departments. Group comparison suggested that reporting electronically had a better performance.The laboratory reporting system in China needs to improve, particularly the integrity of the report. Strengthening information technology will not only promote reporting appropriateness, but also guarantee accurate, standardized and traceable data collection and long-term monitoring.


2008 ◽  
Vol 54 (7) ◽  
pp. 1254-1256 ◽  
Author(s):  
Jonna Skov Madsen ◽  
Mads Nybo ◽  
Erik Magid ◽  
Jørgen Hilden ◽  
Nete Hornung ◽  
...  

The Lancet ◽  
1960 ◽  
Vol 276 (7162) ◽  
pp. 1251-1252
Author(s):  
J.N. Davidson

1959 ◽  
Vol 69 ◽  
pp. 367-376 ◽  
Author(s):  
C.B. Coulson ◽  
P.J. Davies ◽  
W.C. Evans

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