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J. Pers. Med., Volume 14, Issue 7 (July 2024) – 15 articles

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26 pages, 875 KiB  
Review
Medical–Surgical Implications of Branching Variation of Human Aortic Arch Known as Bovine Aortic Arch (BAA)
by Andreea Rotundu, Alin Horatiu Nedelcu, Razvan Tudor Tepordei, Marius Constantin Moraru, Dragos Andrei Chiran, Andra Oancea, Alexandra Maștaleru, Alexandru-Dan Costache, Costin Chirica, Cristina Grosu, Florin Mitu and Maria Magdalena Leon
J. Pers. Med. 2024, 14(7), 678; https://0-doi-org.brum.beds.ac.uk/10.3390/jpm14070678 - 24 Jun 2024
Abstract
(1) Background: The aortic arch (AA) branching model is challenging, considering the multiple anatomical variations documented in existing research. The bovine aortic arch (BAA) is the most prevalent anatomical variation among these. This variant of AA branching has long been considered a nonsymptomatic [...] Read more.
(1) Background: The aortic arch (AA) branching model is challenging, considering the multiple anatomical variations documented in existing research. The bovine aortic arch (BAA) is the most prevalent anatomical variation among these. This variant of AA branching has long been considered a nonsymptomatic malformation, having been discovered incidentally during imaging investigations for other causes. However, more recent studies have demonstrated that BAA shows a frequent association with coarctation of the aorta (CoA), thoracic aortic disease (TAD), and stroke. At the same time, given the current context of increasing activity in the fields of interventional and surgical procedures in the aorta and its branches, it is very important to know the medical–surgical implications of this anatomical variant. (2) Methods: We conducted a comprehensive review using PubMed and Embase, focusing specifically on randomized trials and cohort analyses that examined the medical–surgical implications of BAA. We assessed information related to studied groups, medical procedures, and study outcomes. Initially, we identified 8454 studies, and after rigorous evaluation, we narrowed down our review to 25 articles. (3) Discussions: The intervention consisted of assessing the risks associated with BAA through different imaging investigation methods such as computer tomographic angiography (CTA), magnetic resonance imaging (MRI), or ultrasonography (US). The following results were evaluated: the prevalence of the BAA, the importance of imaging investigations in establishing the diagnosis and the therapeutic management and monitoring the evolution of patients with the BAA, the association of the BAA with CoA, TAD, and stroke, and the potential risks of interventional treatment in patients with the BAA. (4) Conclusions: The prevalence of the BAA differs both between different ethnic groups and between genders. Advanced imaging methods such as CTA and 4D flow MRI allow detailed descriptions of supra-aortic vascular anatomy and information about blood flow velocities, direction, and turbulence in the AA. US remains an easy and valuable imaging investigation, with the potential to detect and correctly diagnose the BAA and its hemodynamic implications. Anatomical variations in the AA are associated with increased rates of TAD, CoA, and stroke, necessitating early diagnosis and increased supervision of patients with such incidentally observed abnormalities. In addition, there is a need to further develop and refine the surgical techniques used and personalize them to the individual characteristics of patients with the BAA. Full article
(This article belongs to the Section Personalized Therapy and Drug Delivery)
13 pages, 2383 KiB  
Review
Electrical Impedance Tomography, Artificial Intelligence, and Variable Ventilation: Transforming Respiratory Monitoring and Treatment in Critical Care
by Iacopo Cappellini, Lorenzo Campagnola and Guglielmo Consales
J. Pers. Med. 2024, 14(7), 677; https://0-doi-org.brum.beds.ac.uk/10.3390/jpm14070677 - 24 Jun 2024
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Abstract
Background: Electrical Impedance Tomography (EIT), combined with variable ventilation strategies and Artificial Intelligence (AI), is poised to revolutionize critical care by transitioning from reactive to predictive approaches. This integration aims to enhance patient outcomes through personalized interventions and real-time monitoring. Methods: this narrative [...] Read more.
Background: Electrical Impedance Tomography (EIT), combined with variable ventilation strategies and Artificial Intelligence (AI), is poised to revolutionize critical care by transitioning from reactive to predictive approaches. This integration aims to enhance patient outcomes through personalized interventions and real-time monitoring. Methods: this narrative review explores the principles and applications of EIT, variable ventilation, and AI in critical care. EIT impedance sensing creates dynamic images of internal physiology, aiding the management of conditions like Acute Respiratory Distress Syndrome (ARDS). Variable ventilation mimics natural breathing variability to improve lung function and minimize ventilator-induced lung injury. AI enhances EIT through advanced image reconstruction techniques, neural networks, and digital twin technology, offering more accurate diagnostics and tailored therapeutic interventions. Conclusions: the confluence of EIT, variable ventilation, and AI represents a significant advancement in critical care, enabling a predictive, personalized approach. EIT provides real-time insights into lung function, guiding precise ventilation adjustments and therapeutic interventions. AI integration enhances EIT diagnostic capabilities, facilitating the development of personalized treatment plans. This synergy fosters interdisciplinary collaborations and sets the stage for innovative research, ultimately improving patient outcomes and advancing the future of critical care. Full article
(This article belongs to the Section Personalized Critical Care)
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14 pages, 3543 KiB  
Article
Transforming Ontology Web Language Elements into Common Terminology Service 2 Terminology Resources
by Sara Mora, Roberta Gazzarata, Bernd Blobel, Ylenia Murgia and Mauro Giacomini
J. Pers. Med. 2024, 14(7), 676; https://0-doi-org.brum.beds.ac.uk/10.3390/jpm14070676 - 24 Jun 2024
Viewed by 119
Abstract
Communication and cooperation are fundamental for the correct deployment of P5 medicine, and this can be achieved only by correct comprehension of semantics so that it can aspire to medical knowledge sharing. There is a hierarchy in the operations that need to be [...] Read more.
Communication and cooperation are fundamental for the correct deployment of P5 medicine, and this can be achieved only by correct comprehension of semantics so that it can aspire to medical knowledge sharing. There is a hierarchy in the operations that need to be performed to achieve this goal that brings to the forefront the complete understanding of the real-world business system by domain experts using Domain Ontologies, and only in the last instance acknowledges the specific transformation at the pure information and communication technology level. A specific feature that should be maintained during such types of transformations is versioning that aims to record the evolution of meanings in time as well as the management of their historical evolution. The main tool used to represent ontology in computing environments is the Ontology Web Language (OWL), but it was not created for managing the evolution of meanings in time. Therefore, we tried, in this paper, to find a way to use the specific features of Common Terminology Service—Release 2 (CTS2) to perform consistent and validated transformations of ontologies written in OWL. The specific use case managed in the paper is the Alzheimer’s Disease Ontology (ADO). We were able to consider all of the elements of ADO and map them with CTS2 terminological resources, except for a subset of elements such as the equivalent class derived from restrictions on other classes. Full article
(This article belongs to the Section Omics/Informatics)
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19 pages, 1154 KiB  
Review
Cerebellar Non-Invasive Brain Stimulation: A Frontier in Chronic Pain Therapy
by Valerio Sveva, Alessandro Cruciani, Marco Mancuso, Francesca Santoro, Anna Latorre, Marco Monticone and Lorenzo Rocchi
J. Pers. Med. 2024, 14(7), 675; https://0-doi-org.brum.beds.ac.uk/10.3390/jpm14070675 - 23 Jun 2024
Viewed by 186
Abstract
Chronic pain poses a widespread and distressing challenge; it can be resistant to conventional therapies, often having significant side effects. Non-invasive brain stimulation (NIBS) techniques offer promising avenues for the safe and swift modulation of brain excitability. NIBS approaches for chronic pain management [...] Read more.
Chronic pain poses a widespread and distressing challenge; it can be resistant to conventional therapies, often having significant side effects. Non-invasive brain stimulation (NIBS) techniques offer promising avenues for the safe and swift modulation of brain excitability. NIBS approaches for chronic pain management targeting the primary motor area have yielded variable outcomes. Recently, the cerebellum has emerged as a pivotal hub in human pain processing; however, the clinical application of cerebellar NIBS in chronic pain treatment remains limited. This review delineates the cerebellum’s role in pain modulation, recent advancements in NIBS for cerebellar activity modulation, and novel biomarkers for assessing cerebellar function in humans. Despite notable progress in NIBS techniques and cerebellar activity assessment, studies targeting cerebellar NIBS for chronic pain treatment are limited in number. Nevertheless, positive outcomes in pain alleviation have been reported with cerebellar anodal transcranial direct current stimulation. Our review underscores the potential for further integration between cerebellar NIBS and non-invasive assessments of cerebellar function to advance chronic pain treatment strategies. Full article
(This article belongs to the Special Issue How to Undertake Personalized Assessments and Cures for Pain)
11 pages, 506 KiB  
Article
Prognostic Association between Injury Severity Score and the Outcomes of Elderly Patients with Trauma in South Korea
by Jae-Guk Kim, Hyun-Young Choi, Gu-Hyun Kang, Yong-Soo Jang, Wonhee Kim, Yoonje Lee and Chiwon Ahn
J. Pers. Med. 2024, 14(7), 674; https://0-doi-org.brum.beds.ac.uk/10.3390/jpm14070674 - 23 Jun 2024
Viewed by 245
Abstract
This study investigated the impact of the Injury Severity Score (ISS) on treatment approaches and survival outcomes in trauma patients, focusing on comparing elderly (≥65 years) with non-elderly patients. It analyzed adult trauma cases with abnormal Revised Trauma Scores from January to December [...] Read more.
This study investigated the impact of the Injury Severity Score (ISS) on treatment approaches and survival outcomes in trauma patients, focusing on comparing elderly (≥65 years) with non-elderly patients. It analyzed adult trauma cases with abnormal Revised Trauma Scores from January to December 2019, categorizing patients into three severity groups based on ISS: mild (1–8), moderate (9–15), and severe (≥16). The study examined how ISS influenced therapeutic interventions and survival among elderly patients, comparing these outcomes to non-elderly patients using multivariable logistic regression analysis. In 16,336 adult trauma cases out of 52,262 patients, including 4886 elderly and 11,450 non-elderly patients, findings revealed that in the severe group, elderly patients had a lower, though not statistically significant, incidence of surgical or embolization interventions compared to the moderate group, differing from non-elderly patients. No significant differences were observed in the mild group between elderly and non-elderly patients. However, elderly patients had higher intervention rates in the moderate group and lower in the severe group, with significantly lower survival-to-discharge rates in the severe group. The ISS is insufficient for assessing trauma severity in elderly patients. Additional tools are needed for better evaluation and treatment decisions. Full article
(This article belongs to the Special Issue New Perspectives of Critical Care Medicine)
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13 pages, 869 KiB  
Article
Right Ventricular Subclinical Dysfunction as a Predictor of Postoperative Adverse Clinical Outcomes in Patients with Femoral Fracture
by Hyun-Jin Kim, Hyun-Sun Kim and Jeong-Heon Heo
J. Pers. Med. 2024, 14(7), 673; https://0-doi-org.brum.beds.ac.uk/10.3390/jpm14070673 - 22 Jun 2024
Viewed by 228
Abstract
Background: Femoral fractures often lead to complications such as altered pulmonary hemodynamics. Right ventricular global longitudinal strain (RV GLS), which correlates with pulmonary hemodynamics, indicates the subclinical function of the right ventricle (RV). This study aimed to investigate the predictive value of RV [...] Read more.
Background: Femoral fractures often lead to complications such as altered pulmonary hemodynamics. Right ventricular global longitudinal strain (RV GLS), which correlates with pulmonary hemodynamics, indicates the subclinical function of the right ventricle (RV). This study aimed to investigate the predictive value of RV GLS for the risk of adverse clinical composite outcomes in patients with femoral fractures. Methods: Data were obtained from a prospective single-center cohort of patients hospitalized for femoral fractures and followed up for at least 1 year between March 2021 and October 2022. The primary outcome was the development of an adverse composite clinical event, which included pneumonia, pulmonary oedema or effusion, pulmonary thromboembolism, and all-cause mortality within the 1-year period following surgery. Results: Among the 163 patients, 36 (22.09%) experienced adverse composite clinical events during 1-year follow-up. The adverse outcome group demonstrated poorer RV GLS and RV free wall strain values than the non-adverse outcome group. The optimal cut-off value of RV GLS for predicting composite adverse clinical events was −12.55%. The cumulative composite event-free survival rate was significantly lower in the RV GLS ≥ −12.55% group (log-rank p-value = 0.003). After adjusting for confounding factors, multivariate Cox proportional hazards regression analyses showed that RV GLS ≥ −12.55% independently increased the risk of composite adverse clinical events by 2.65-fold. Conclusions: Poor RV GLS is a significant predictor of adverse clinical outcomes in patients with femoral fractures. Specifically, an RV GLS value of ≥ −12.55% indicated a substantially increased risk of adverse events. Full article
(This article belongs to the Section Disease Biomarker)
12 pages, 576 KiB  
Article
Predictive Role of Maternal Laboratory Parameters and Inflammatory Scores in Determining Systemic Inflammatory Response Syndrome in Newborns at Birth
by Manuela Pantea, Chaitanya Kalapala, Barkha Rani Thakur, Daniela Iacob, Claudia Ioana Borțea, Alexandra Herlo, Felicia Marc, Sonia Tanasescu and Adina Bucur
J. Pers. Med. 2024, 14(7), 672; https://0-doi-org.brum.beds.ac.uk/10.3390/jpm14070672 - 22 Jun 2024
Viewed by 231
Abstract
The incidence of Neonatal Systemic Inflammatory Response Syndrome (SIRS) is a critical concern in neonatal care. This study aimed to identify maternal laboratory parameters predictive of SIRS in newborns, focusing on the establishment of diagnostic cutoffs and evaluating the predictive power of these [...] Read more.
The incidence of Neonatal Systemic Inflammatory Response Syndrome (SIRS) is a critical concern in neonatal care. This study aimed to identify maternal laboratory parameters predictive of SIRS in newborns, focusing on the establishment of diagnostic cutoffs and evaluating the predictive power of these biomarkers. This prospective cohort study was conducted from January 2023 to January 2024 across several regional hospitals specializing in neonatal care. It included 207 mother-newborn pairs, divided into groups based on the neonatal development of SIRS (66 cases) or its absence (141 controls). Key maternal parameters measured included inflammatory markers and liver enzymes, analyzed using standard biochemical methods. The study applied receiver operating characteristic (ROC) analysis to establish optimal cutoff values and conducted multivariate logistic regression to determine hazard ratios (HRs) for SIRS prediction, with adjustments for potential confounders. The study identified significant ROC/AUC values for several biomarkers. The neutrophil-to-lymphocyte ratio (NLR) demonstrated an AUC of 0.926, with a cutoff value of 3.64, achieving 81.8% sensitivity and 90.9% specificity (p < 0.001). The systemic immune–inflammation index (SII) showed an AUC of 0.819 and a cutoff of 769.12, with 75.8% sensitivity and 81.8% specificity (p < 0.001). Multivariate regression analysis highlighted that neonates with maternal SII values above this cutoff were three times more likely to develop SIRS (HR 3.09, 95% CI 2.21–4.17, p < 0.0001). Other notable biomarkers included dNLR and ALRI, with respective HRs of 1.88 (p = 0.018) and 1.75 (p = 0.032). These findings confirm the significant predictive value of specific maternal inflammatory markers for neonatal SIRS. These findings support the utility of these biomarkers in prenatal screening to identify neonates at increased risk of SIRS, potentially guiding preemptive clinical interventions. Full article
(This article belongs to the Special Issue Personalized Approaches to Prenatal Screening and Diagnosis)
9 pages, 620 KiB  
Article
Association of Coronavirus Disease 2019 Vaccination with Facial-Related Neurological Disorders: A Nationwide Retrospective Cohort Study
by Younggoo Kim, Min-Ho Kim, Eunmi Chun and Dosang Cho
J. Pers. Med. 2024, 14(7), 671; https://0-doi-org.brum.beds.ac.uk/10.3390/jpm14070671 - 21 Jun 2024
Viewed by 250
Abstract
Neurological complications after the coronavirus disease 2019 (COVID-19) vaccine administration have been reported. However, the incidence rates of these complications have not been compared in vaccinated and unvaccinated individuals. This study used a nationwide cohort from South Korea to investigate the incidence and [...] Read more.
Neurological complications after the coronavirus disease 2019 (COVID-19) vaccine administration have been reported. However, the incidence rates of these complications have not been compared in vaccinated and unvaccinated individuals. This study used a nationwide cohort from South Korea to investigate the incidence and prognostic factors of facial-related neurological disorders, such as facial palsy, trigeminal neuralgia, and hemifacial spasms, after COVID-19 vaccination. A population-based cohort design was used to examine data from a randomly selected 50% of the adult population in Seoul, South Korea. Information on demographics, vaccination status, vaccination type, and medical history was collected. The incidence rates and adjusted hazard ratios (aHRs) for facial-related neurological disorders were calculated. This study included 2,482,481 adults, 85.94% of whom were vaccinated. Vaccinated individuals showed a higher incidence of facial palsy, hemifacial spasm, and trigeminal neuralgia than unvaccinated individuals, with significant aHRs of 1.821, 3.203, and 6.621, respectively. Dyslipidemia, female sex, and young age were identified as risk factors for hemifacial spasms and trigeminal neuralgia. This study demonstrates an increased incidence of facial-related neurological disorders after COVID-19 vaccination, particularly among individuals with dyslipidemia and younger women. These findings underscore the need for further investigations into the mechanisms and management of vaccine-related neurological issues. Full article
(This article belongs to the Section Epidemiology)
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9 pages, 1498 KiB  
Case Report
Clinical and Molecular Traits of a Novel SPECC1L-ALK Fusion in a Patient with Advanced Non-Small Cell Lung Cancer
by Antonella Centonza, Tommaso Mazza, Domenico Trombetta, Angelo Sparaneo, Francesco Petrizzelli, Stefano Castellana, Flavia Centra, Federico Pio Fabrizio, Concetta Martina Di Micco, Federica Benso, Fabrizio Tabbò, Luisella Righi, Alessandra Merlini, Paolo Graziano and Lucia Anna Muscarella
J. Pers. Med. 2024, 14(7), 670; https://0-doi-org.brum.beds.ac.uk/10.3390/jpm14070670 - 21 Jun 2024
Viewed by 191
Abstract
Anaplastic lymphoma kinase (ALK) fusions account for 5–7% of non-small cell lung cancer (NSCLC) patients, the therapeutic approaches for which have significantly evolved in the last few years. However, the response to target therapies remains heterogeneous, partially due to the many different ALK [...] Read more.
Anaplastic lymphoma kinase (ALK) fusions account for 5–7% of non-small cell lung cancer (NSCLC) patients, the therapeutic approaches for which have significantly evolved in the last few years. However, the response to target therapies remains heterogeneous, partially due to the many different ALK fusion variants reported to date. Rare fusion variants have also been discovered, but their role in influencing responses to ALK inhibitors (ALKis) remains poorly elucidated. Laboratory investigation at both the tissue and protein levels, and a molecular profile by next-generation sequencing (NGS) were performed on a lung biopsy sample from one patient with poorly differentiated adenocarcinoma. An in silico prediction model using ColabFold software v1.5.5 was used to model and predict the entire structure of the chimeric aberrant ALK protein. Here, we report a case of a former smoker, a 60-year-old man, diagnosed with NSCLC and undergoing ALK translocation. He received first-, second- and third-generation ALK protein inhibitors (ALKis), showing a clinical benefit for about 4 years. IHC analysis and the molecular examination of the tissue biopsy indicated a positive staining for ALK and a novel ALK gene fusion variant, involving the sperm antigen with calponin homology and coiled-coil domain 1-like (SPECC1L) gene with an unreported breakpoint in exon 7. The novel SPECCL1::ALK fusion was identified using Anchored Multiplex PCR (AMP)-NGS technology and was predicted to retain the Pkinase_Tyr domain at the carboxy-terminal region of the resulting chimeric protein. To the best of our knowledge, this is the first case of an ALK-positive NSCLC patient carrying the SPECC1L exon 7 fusion breakpoint and one of the few reports about clinical outcomes related to SPECC1L::ALK fusion. The in silico hypothesized biological role of this newly identified fusion variant corroborates the observed clinical response to multiple ALKis. The molecular findings also reinforce the utility of AMP-based NGS technology as a valuable tool for the identification of rare chromosomal events that may be related to the variability of patient outcomes to different ALKis treatments. Full article
24 pages, 2585 KiB  
Article
Precision Workforce Management for Radiographers: Monitoring and Managing Competences with an Automatic Tool
by Andrea Lastrucci, Yannick Wandael, Giovanni Orlandi, Angelo Barra, Stefano Chiti, Valentina Gigli, Massimo Marletta, Davide Pelliccia, Barbara Tonietti, Renzo Ricci and Daniele Giansanti
J. Pers. Med. 2024, 14(7), 669; https://0-doi-org.brum.beds.ac.uk/10.3390/jpm14070669 - 21 Jun 2024
Viewed by 242
Abstract
Optimizing work shifts in healthcare is crucial for maintaining high standards of service delivery and fostering professional development. This study delves into the emerging field of skill-oriented work shift optimization, focusing specifically on radiographers within the healthcare sector. Through the development of Skills [...] Read more.
Optimizing work shifts in healthcare is crucial for maintaining high standards of service delivery and fostering professional development. This study delves into the emerging field of skill-oriented work shift optimization, focusing specifically on radiographers within the healthcare sector. Through the development of Skills Retention Monitoring (SRH), this research aims to enhance skill monitoring, workload management, and organizational performance. In this study, several key highlights emerged: (a) Introduction of the SRH tool: The SRH tool represents a resource-efficient solution that harnesses existing software infrastructure. A preliminary version, focusing on the radiographers’ professional profile, was released, and after several months of use, it demonstrated effectiveness in optimizing work based on competency monitoring. (b) The SRH tool has thus demonstrated the capacity to generate actionable insights in the organizational context of radiographers. By generating weekly reports, the SRH tool streamlines activity management and optimizes resource allocation within healthcare settings. (c) Application of a Computer-Assisted Web Interviewing (CAWI) tool for pre-release feedback during a training event. (d) Strategic importance of a maintenance and monitoring plan: This plan, rooted in a continuous quality improvement approach and key performance indicators, ensures the sustained effectiveness of the SRH tool. (e) Strategic importance of a transfer plan: Involving professional associations and employing targeted questionnaires, this plan ensures the customization of the tool from the perspective of each profession involved. This is a crucial point, as it will enable the release of tool versions tailored to various professions operating within the hospital sector. As a side result, the tool could allow for a more tailored and personalized medicine both by connecting the insights gathered through the SRH tool with the right competencies for healthcare professionals and with individual patient data. This integration could lead to better-informed decision making, optimizing treatment strategies based on both patient needs and the specific expertise of the healthcare provider. Future directions include deploying the SRH tool within the Pisa hospital network and exploring integration with AI algorithms for further optimization. Overall, this research contributes to advancing work shift optimization strategies and promoting excellence in healthcare service delivery. Full article
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11 pages, 910 KiB  
Communication
Data Model for the Comprehensive Management of Biobanks and Its Contribution to Personalized Medicine
by Ana María Sánchez-López, Purificación Catalina, Fernando Franco, Sonia Panadero-Fajardo, Juan David Rejón, María Concepción Romero-Sánchez, Jose Manuel Puerta-Puerta and Rocío Aguilar-Quesada
J. Pers. Med. 2024, 14(7), 668; https://0-doi-org.brum.beds.ac.uk/10.3390/jpm14070668 - 21 Jun 2024
Viewed by 185
Abstract
Biobanks are infrastructures essential for research involving multi-disciplinary teams and an increasing number of stakeholders. In the field of personalized medicine, biobanks play a key role through the provision of well-characterized and annotated samples protecting at the same time the right of donors. [...] Read more.
Biobanks are infrastructures essential for research involving multi-disciplinary teams and an increasing number of stakeholders. In the field of personalized medicine, biobanks play a key role through the provision of well-characterized and annotated samples protecting at the same time the right of donors. The Andalusian Public Health System Biobank (SSPA Biobank) has implemented a global information management system made up of different modules that allow for the recording, traceability and monitoring of all the information associated with the biobank operations. The data model, designed in a standardized and normalized way according to international initiatives on data harmonization, integrates the information necessary to guarantee the quality of results from research, benefiting researchers, clinicians and donors. Full article
(This article belongs to the Special Issue Biobank and Biorepository in Personalized Medicine)
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11 pages, 1116 KiB  
Article
Is an Elevated Preoperative CRP Level a Predictive Factor for Wound Healing Disorders following Lumbar Spine Surgery?
by Anatoli Pinchuk, Michael Luchtmann, Belal Neyazi, Claudia A. Dumitru, Klaus Peter Stein, Ibrahim Erol Sandalcioglu and Ali Rashidi
J. Pers. Med. 2024, 14(7), 667; https://0-doi-org.brum.beds.ac.uk/10.3390/jpm14070667 - 21 Jun 2024
Viewed by 180
Abstract
Postoperative wound infections are a prevalent concern among the hospital-associated infections in Europe, leading to prolonged hospital stays, increased morbidity and mortality, and substantial patient burdens. Addressing the root causes of this complication is crucial, especially given the rising number of spine surgeries [...] Read more.
Postoperative wound infections are a prevalent concern among the hospital-associated infections in Europe, leading to prolonged hospital stays, increased morbidity and mortality, and substantial patient burdens. Addressing the root causes of this complication is crucial, especially given the rising number of spine surgeries due to aging populations. Methods: A retrospective analysis was conducted on a cohort of 3019 patients who underwent lumbar spine surgery over a decade in our department. The study aimed to assess the predictors of wound healing disorders, focusing on laboratory values, particularly inflammatory parameters. Results: Of the 3019 patients, 2.5% (N = 74) experienced deep or superficial wound healing disorders, showing the significant correlation between C-reactive protein (CRP) levels and these disorders (p = 0.004). A multivariate analysis identified several factors, including age, sex, hypertension, diabetes, cardiac comorbidity, surgical duration, dural injury, and blood loss, as being correlated with wound healing disorders. Conclusion: Demographic factors, pre-existing conditions, and perioperative variables play a role in the occurrence of adverse effects related to wound healing disorders. Elevated CRP levels serve as an indicator of increased infection risk, though they are not a definitive diagnostic tool for wound healing disorders. Full article
(This article belongs to the Section Clinical Medicine, Cell, and Organism Physiology)
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13 pages, 248 KiB  
Review
The Evolving Role of Bispecific Antibodies in Diffuse Large B-Cell Lymphoma
by Khalil Saleh, Rita Khoury, Nadine Khalife, Claude Chahine, Rebecca Ibrahim, Zamzam Tikriti and Axel Le Cesne
J. Pers. Med. 2024, 14(7), 666; https://0-doi-org.brum.beds.ac.uk/10.3390/jpm14070666 - 21 Jun 2024
Viewed by 226
Abstract
The advent of targeted therapies such as monoclonal antibodies, adoptive T-cell therapies, and antibody–drug conjugates (ADCs) dramatically changed the treatment landscape of diffuse large B-cell lymphoma (DLBCL) over the last two decades. Rituximab was the first one approved. Chimeric antigen receptor T-cells are [...] Read more.
The advent of targeted therapies such as monoclonal antibodies, adoptive T-cell therapies, and antibody–drug conjugates (ADCs) dramatically changed the treatment landscape of diffuse large B-cell lymphoma (DLBCL) over the last two decades. Rituximab was the first one approved. Chimeric antigen receptor T-cells are currently approved as second-line treatment in patients with DLBCL refractory to first-line chemo-immunotherapy. Polatuzumab, a CD79b-targeting ADC, is approved as first-line treatment in high-risk patients in combination with chemo-immunotherapy. Bispecific antibodies (BsAbs) are a novel category of drugs that are also changing the treatment paradigm of patients with DLBCL. They are engineered to bind to two different targets at the same time. To date, two BsAbs (glofitamab and epcoritamab) are approved as monotherapy in third-line treatment in DLBCL. Combination strategies with chemotherapy, immunotherapy, and ADCs are currently under investigation with encouraging results in first-line or subsequent lines of treatment. In the following review, we focus on the structure of BsAbs, the mechanism of action, clinical efficacy, and the mechanisms of resistance to BsAbs. Full article
11 pages, 595 KiB  
Review
From Sweet to Sour: SGLT-2-Inhibitor-Induced Euglycemic Diabetic Ketoacidosis
by Andrijana Koceva and Nika Aleksandra Kravos Tramšek
J. Pers. Med. 2024, 14(7), 665; https://0-doi-org.brum.beds.ac.uk/10.3390/jpm14070665 - 21 Jun 2024
Viewed by 265
Abstract
Sodium–glucose cotransporter 2 (SGLT-2) inhibitors are highly selective, effective, and generally well-tolerated antihyperglycemic agents targeting the SGLT-2 transmembrane protein. Despite being primarily registered for diabetes treatment, due to their cardiorenal protective properties, SGLT-2 inhibitors caused a paradigm shift in the treatment of other [...] Read more.
Sodium–glucose cotransporter 2 (SGLT-2) inhibitors are highly selective, effective, and generally well-tolerated antihyperglycemic agents targeting the SGLT-2 transmembrane protein. Despite being primarily registered for diabetes treatment, due to their cardiorenal protective properties, SGLT-2 inhibitors caused a paradigm shift in the treatment of other diseases on the cardiorenal spectrum, becoming a fundamental part of heart failure and chronic kidney disease management. With their rapidly increasing use, there are also increased reports of a rare, often under-recognised and potentially deadly side effect, SGLT-2-inhibitor-induced euglycemic diabetic ketoacidosis (EDKA). The primary pathophysiological process behind its multifactorial aetiology comprises glucosuria and osmotic diuresis, which produce a significant carbohydrate deficit, leading to an increase in the glucagon–insulin ratio, thus resulting in accelerated ketogenesis. Although EDKA has a similar clinical presentation as diabetic ketoacidosis (DKA), the absence of the high glucose levels typically expected for DKA and the presence of urine ketone reabsorption contribute to a significant delay in its recognition and timely diagnosis. Given the broad use of SGLT-2 inhibitors, increased awareness, early recognition, and prompt identification of precipitating factors are essential. In this narrative review, we comprehensively explore the pathophysiological mechanisms of SGLT-2-inhibitor-induced EDKA, analyse its clinical manifestation, and identify the most common triggers for its development. We also discuss EDKA management and preventive strategies. Full article
(This article belongs to the Special Issue Mechanism of Endocrine and Metabolic Diseases)
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14 pages, 782 KiB  
Article
Genetic Variation in ABCB1, ADRB1, CYP3A4, CYP3A5, NEDD4L and NR3C2 Confers Differential Susceptibility to Resistant Hypertension among South Africans
by Jonathan N. Katsukunya, Erika Jones, Nyarai D. Soko, Dirk Blom, Phumla Sinxadi, Brian Rayner and Collet Dandara
J. Pers. Med. 2024, 14(7), 664; https://0-doi-org.brum.beds.ac.uk/10.3390/jpm14070664 - 21 Jun 2024
Viewed by 206
Abstract
Resistant hypertension (RHTN) prevalence ranges from 4 to 19% in Africa. There is a paucity of data on the role of genetic variation on RHTN among Africans. We set out to investigate the role of polymorphisms in ABCB1, ADRB1, CYP3A4, [...] Read more.
Resistant hypertension (RHTN) prevalence ranges from 4 to 19% in Africa. There is a paucity of data on the role of genetic variation on RHTN among Africans. We set out to investigate the role of polymorphisms in ABCB1, ADRB1, CYP3A4, CYP3A5, NEDD4L, and NR3C2, on RHTN susceptibility among South Africans. Using a retrospective matched case–control study, 190 RHTN patients (cases: blood pressure (BP) ≥ 140/90 mmHg on ≥3 anti-hypertensives or BP < 140/90 mmHg on >3 anti-hypertensives) and 189 non-RHTN patients (controls: <3 anti-hypertensives, BP < 140/90 or ≥140/90 mmHg), 12 single nucleotide polymorphisms were genotyped using polymerase chain reaction–restriction fragment length polymorphism (PCR-RFLP), quantitative PCR and Sanger sequencing. Genetic association analyses were conducted using the additive model and multivariable logistic regression. Homozygosity for CYP3A5 rs776746C/C genotype (p = 0.02; OR: 0.44; CI: 0.22–0.89) was associated with reduced risk for RHTN. Homozygous ADRB1 rs1801252G/G (p = 0.02; OR: 3.30; CI: 1.17–10.03) and NEDD4L rs4149601A/A genotypes (p = 0.001; OR: 3.82; CI: 1.67–9.07) were associated with increased risk for RHTN. Carriers of the of ADRB1 rs1801252—rs1801253 G–C haplotype had 2.83-fold odds of presenting with RHTN (p = 0.04; OR: 2.83; CI: 1.05–8.20). These variants that are associated with RHTN may have clinical utility in the selection of antihypertensive drugs in our population. Full article
(This article belongs to the Section Pharmacogenetics)
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