Laboratory Medicine: Extended Roles in Healthcare Delivery

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Clinical Laboratory Medicine".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 1291

Special Issue Editor


E-Mail
Guest Editor
1. School of Medicine and Clinical Practice, Unversity of Wolverhampton, Wolverhampton WV1 1LY, UK
2. Black Country Pathology Services, The Royal Wolverhampton NHS Trust, Wolverhampton WV10 0QP, UK
Interests: laboratory healthcare; pre-analytics; post-analytics; endocrinology; lipids; metabolic disease
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Laboratory Medicine is well recognized as pivotal to the diagnosis, exclusion and management of most disease processes. Laboratory medicine, however, should be much more than just a factory that produces precise, accurate quality-assured results. We, therefore, have selected reviews on the extended roles of laboratory medicine in healthcare delivery, machine learning, anaemia in pregnancy, point of care testing (POCT) in the community, and the concept of algorithm-based “intelligent testing”.

Data analytics, machine learning and artificial intelligence appear to possess the potential to transform laboratory medicine practice, but is this a realistic goal? Anaemia in pregnancy is multifactorial in origin and associated with increased maternal and perinatal morbidity and mortality. Does the laboratory have a meaningful role in uncovering the underlying cause, which is crucial to its management? Chronic kidney disease (CKD) is increasing in prevalence, in association with cardiovascular disease and end-stage renal disease. Does POCT provide access to difficult-to-engage populations to enable the optimization of CKD management and reduce or halt the progression of comorbidity and mortality? Liver function tests (liver profiles), although sensitive for the presence of liver disease, are non-specific. Is it possible for the laboratory to produce more meaningful data other than numbers with units attached? The selected reviews will update us on laboratory medicine and its transition into the next decade.

Prof. Dr. Rousseau Gama
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • anaemia
  • pregnancy
  • point of care
  • nearer patient tesing
  • chronic kidney disease (CKD)
  • machine learning
  • liver disease
  • liver function tests

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Jump to: Review

11 pages, 1105 KiB  
Article
Whole-Exome Sequencing and Analysis of the T Cell Receptor β and γ Repertoires in Rheumatoid Arthritis
by Jooyoung Cho, Juwon Kim, Ju Sun Song, Young Uh, Jong-Han Lee and Hyang Sun Lee
Diagnostics 2024, 14(5), 529; https://doi.org/10.3390/diagnostics14050529 - 1 Mar 2024
Viewed by 669
Abstract
This study investigated the potential genetic variants of rheumatoid arthritis (RA) using whole-exome sequencing (WES) and evaluated the disease course using T cell receptor (TCR) repertoire analysis. Fourteen patients with RA and five healthy controls (HCs) were enrolled. For the RA patient group, [...] Read more.
This study investigated the potential genetic variants of rheumatoid arthritis (RA) using whole-exome sequencing (WES) and evaluated the disease course using T cell receptor (TCR) repertoire analysis. Fourteen patients with RA and five healthy controls (HCs) were enrolled. For the RA patient group, only treatment-naïve patients were recruited, and data were collected at baseline as well as at 6 and 12 months following the initiation of the disease-modifying antirheumatic drug (DMARD) treatment. Laboratory data and disease parameters were also collected. Genetic variants were detected using WES, and the diversity of the TCR repertoire was assessed using the Shannon–Wiener diversity index. While some variants were detected by WES, their clinical significance should be confirmed by further studies. The diversity of the TCR repertoire in the RA group was lower than that in the HCs; however, after DMARD treatment, it increased significantly. The diversity was negatively correlated with the laboratory findings and disease measures with statistical significance. Variants with a potential for RA pathogenesis were identified, and the clinical significance of the TCR repertoire was evaluated in Korean patients with RA. Further studies are required to confirm the findings of the present study. Full article
(This article belongs to the Special Issue Laboratory Medicine: Extended Roles in Healthcare Delivery)
Show Figures

Figure 1

Review

Jump to: Research

15 pages, 1297 KiB  
Review
Intelligent Liver Function Testing (iLFT): An Intelligent Laboratory Approach to Identifying Chronic Liver Disease
by Jennifer Nobes, Damien Leith, Sava Handjiev, John F. Dillon and Ellie Dow
Diagnostics 2024, 14(9), 960; https://doi.org/10.3390/diagnostics14090960 - 4 May 2024
Viewed by 446
Abstract
The intelligent Liver Function Testing (iLFT) pathway is a novel, algorithm-based system which provides automated laboratory investigations and clinical feedback on abnormal liver function test (LFT) results from primary care. iLFT was introduced to NHS Tayside, Scotland, in August 2018 in response to [...] Read more.
The intelligent Liver Function Testing (iLFT) pathway is a novel, algorithm-based system which provides automated laboratory investigations and clinical feedback on abnormal liver function test (LFT) results from primary care. iLFT was introduced to NHS Tayside, Scotland, in August 2018 in response to vast numbers of abnormal LFTs, many of which were not appropriately investigated, coupled with rising mortality from chronic liver disease. Here, we outline the development and implementation of the iLFT pathway, considering the implications for the diagnostic laboratories, primary care services and specialist hepatology clinics. Additionally, we describe the utility, outcomes and evolution of iLFT, which was used over 11,000 times in its first three years alone. Finally, we will consider the future of iLFT and propose areas where similar ‘intelligent’ approaches could be used to add value to laboratory investigations. Full article
(This article belongs to the Special Issue Laboratory Medicine: Extended Roles in Healthcare Delivery)
Show Figures

Figure 1

Back to TopTop