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Diagnostics
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Cardio-Renal Metabolic Syndrome: Interdisciplinary Diagnostic Methods 2.0
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Cardio-Renal Metabolic Syndrome: Interdisciplinary Diagnostic Methods 2.0

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Pathology and Molecular Diagnostics".

Deadline for manuscript submissions: closed (31 July 2023) | Viewed by 14448

Special Issue Editor

Prof. Dr. Simona Gabriela Bungau

E-Mail Website
Guest Editor
Department of Pharmacy, Faculty of Medicine and Pharmacy, University of Oradea, 410087 Oradea, Romania
Interests: pharmacy; pharmacology; public health; medicine; chemistry; clinical trials; nutrition; polyphenols; oxidative stress; antioxidants
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Medical interdisciplinarity in making a correct diagnosis is of the utmost importance for optimal treatment, which should include both effective therapeutic means (drugs and/or surgery) and the complex aspects related to nutrition, lifestyle, rehabilitation, etc.

This Special Issue intends to cover scientific and experimental data and information related to modern and complex interdisciplinary diagnosis, in directions such as:

  • New methods for evaluating metabolic cardio-renal diseases;
  • Nutritional, pharmacological, and rehabilitation interventions in metabolic diseases and their complications;
  • Diagnostic algorithms from medical history/clinical picture to imaging, biochemical, molecular, and genetic tests;
  • New markers for assessing cardio-metabolic risk, such as clinically significant molecules, intestinal microbiota, etc.;
  • The role of plant-derived natural compounds/biologically active phytochemicals in chronic metabolic diseases;
  • Impact of novel guidelines in real-life studies for the diagnosis and treatment of cardio-metabolic diseases;
  • Treatments with beneficial effects in the risk of cardiovascular morbidity and mortality;
  • Interdisciplinarity in diagnoses and interventions.

Original research articles and reviews are equally welcome.

Prof. Dr. Simona Bungau
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

  • Cardio-renal metabolic syndrome
  • Interdisciplinary diagnostic methods
  • Diagnostic algorithms
  • Therapeutical approaches

Published Papers (6 papers)

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Editorial

Jump to: Research, Review

2 pages, 182 KiB  
Editorial
Cardio-Renal Metabolic Syndrome: Interdisciplinary Diagnostic Methods
by Simona Gabriela Bungau
Diagnostics 2023, 13(2), 265; https://0-doi-org.brum.beds.ac.uk/10.3390/diagnostics13020265 - 11 Jan 2023
Cited by 1 | Viewed by 1380
Abstract
Medical interdisciplinarity in making a correct diagnosis is of the utmost importance for an optimal treatment, which should include both effective therapeutic means (drugs and/or surgery) and the complex aspects (nutrition, lifestyle, rehabilitation, etc [...] Full article
(This article belongs to the Special Issue Cardio-Renal Metabolic Syndrome: Interdisciplinary Diagnostic Methods 2.0)

Research

Jump to: Editorial, Review

16 pages, 3010 KiB  
Article
Clinical and Biological Data in Patients with Pancreatic Cancer vs. Chronic Pancreatitis—A Single Center Comparative Analysis
by Gina Gheorghe, Vlad Alexandru Ionescu, Horatiu Moldovan and Camelia Cristina Diaconu
Diagnostics 2023, 13(3), 369; https://0-doi-org.brum.beds.ac.uk/10.3390/diagnostics13030369 - 19 Jan 2023
Cited by 1 | Viewed by 2572
Abstract
Introduction: In some patients with chronic pancreatitis, the diagnosis of pancreatic cancer can be missed. The objective of the study was to identify clinical and paraclinical data with statistical significance in the differential diagnosis between chronic pancreatitis and pancreatic cancer. Materials and Methods: [...] Read more.
Introduction: In some patients with chronic pancreatitis, the diagnosis of pancreatic cancer can be missed. The objective of the study was to identify clinical and paraclinical data with statistical significance in the differential diagnosis between chronic pancreatitis and pancreatic cancer. Materials and Methods: We conducted a retrospective, observational study on a cohort of 120 patients hospitalized over 3 years. The patients were equally distributed in two groups: group A, with 60 patients with pancreatic cancer, and group B, with 60 patients with chronic pancreatitis. The statistical analysis was carried out by using the R program. Results. The comparative analysis of pancreatic cancer vs. chronic pancreatitis revealed a stronger link between pancreatic cancer, female gender (p = 0.001) and age over 60 years (p < 0.001). Patients with pancreatic cancer had higher serum values of aspartate aminotransferase (p 0.005), alanine aminotransferase (p 0.006), total bilirubin (p < 0.001), direct bilirubin (p < 0.001), alkaline phosphatase (p 0.030), C-reactive protein (p = 0.049) and uric acid (p 0.001), while patients with chronic pancreatitis presented slightly higher values of amylase (p 0.020) and lipase (p 0.029). Conclusions: Female gender, advanced age, elevated aminotransferases, cholestasis markers and uric acid were associated with a higher probability of pancreatic cancer. Full article
(This article belongs to the Special Issue Cardio-Renal Metabolic Syndrome: Interdisciplinary Diagnostic Methods 2.0)
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21 pages, 2905 KiB  
Article
Machine Learning Approach for Metabolic Syndrome Diagnosis Using Explainable Data-Augmentation-Based Classification
by Mohammed G. Sghaireen, Yazan Al-Smadi, Ahmad Al-Qerem, Kumar Chandan Srivastava, Kiran Kumar Ganji, Mohammad Khursheed Alam, Shadi Nashwan and Yousef Khader
Diagnostics 2022, 12(12), 3117; https://0-doi-org.brum.beds.ac.uk/10.3390/diagnostics12123117 - 10 Dec 2022
Cited by 5 | Viewed by 2595
Abstract
Metabolic syndrome (MetS) is a cluster of risk factors including hypertension, hyperglycemia, dyslipidemia, and abdominal obesity. Metabolism-related risk factors include diabetes and heart disease. MetS is also linked to numerous cancers and chronic kidney disease. All of these variables raise medical costs. Developing [...] Read more.
Metabolic syndrome (MetS) is a cluster of risk factors including hypertension, hyperglycemia, dyslipidemia, and abdominal obesity. Metabolism-related risk factors include diabetes and heart disease. MetS is also linked to numerous cancers and chronic kidney disease. All of these variables raise medical costs. Developing a prediction model that can quickly identify persons at high risk of MetS and offer them a treatment plan is crucial. Early prediction of metabolic syndrome will highly impact the quality of life of patients as it gives them a chance for making a change to the bad habit and preventing a serious illness in the future. In this paper, we aimed to assess the performance of various algorithms of machine learning in order to decrease the cost of predictive diagnoses of metabolic syndrome. We employed ten machine learning algorithms along with different metaheuristics for feature selection. Moreover, we examined the effects of data augmentation in the prediction accuracy. The statistics show that the augmentation of data after applying feature selection on the data highly improves the performance of the classifiers. Full article
(This article belongs to the Special Issue Cardio-Renal Metabolic Syndrome: Interdisciplinary Diagnostic Methods 2.0)
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18 pages, 2937 KiB  
Article
Left Ventricle Outflow Tract Velocity-Time Index and Right Ventricle to Left Ventricle Ratio as Predictors for in Hospital Outcome in Intermediate-Risk Pulmonary Embolism
by Elena Emilia Babes, Manuela Stoicescu, Simona Gabriela Bungau, Diana Uivarosan, Delia Mirela Tit, Mirela Marioara Toma, Alexa Florina Bungau and Cristiana Bustea
Diagnostics 2022, 12(5), 1226; https://0-doi-org.brum.beds.ac.uk/10.3390/diagnostics12051226 - 13 May 2022
Cited by 2 | Viewed by 1896
Abstract
Accurate estimation of risk with both imaging and biochemical parameters in intermediate risk pulmonary embolism (PE) remains challenging. The aim of the study was to evaluate echocardiographic parameters that reflect right and left heart hemodynamic as predictors of adverse events in intermediate risk [...] Read more.
Accurate estimation of risk with both imaging and biochemical parameters in intermediate risk pulmonary embolism (PE) remains challenging. The aim of the study was to evaluate echocardiographic parameters that reflect right and left heart hemodynamic as predictors of adverse events in intermediate risk PE. This was a retrospective observational study on patients with computed tomography pulmonary angiography diagnosis of PE admitted at Cardiology department of the Clinical Emergency Hospital of Oradea, Romania between January 2018—December 2021. Echocardiographic parameters obtained at admission were studied as predictors of in hospital adverse events. The following adverse outcomes were registered: death, resuscitated cardiac arrest, hemodynamic deterioration and need of rescue thrombolysis. An adverse outcome was present in 50 patients (12.62%). PE related death was registered in 17 patients (4.3%), resuscitated cardiac arrest occurred in 6 patients (1.51%). Another 20 patients (5.05%) required escalation of therapy with thrombolysis and 7 (1.76%) patients developed haemodynamic instability. Echocardiographic independent predictors for in hospital adverse outcome were RV/LV ≥ 1 (HR = 3.599, 95% CI 1.378–9.400, p = 0.009) and VTI ≤ 15 mm (HR = 11.711, 95% CI 4.336–31.633, p < 0.001). The receiver operator curve renders an area under curve for LVOT VTI ≤ 15 mm of 0.792 (95% CI 0.719–0.864, p < 0.001) and for a RV/LV ≥ 1 of 0.746 (95% CI 0.671–0.821, p < 0.001). A combined criterion (LVOT VTI ≤ 15 and RV/LV ≥ 1) showed a positive predictive value of 75% and a negative predictive value of 95% regarding in hospital adverse outcomes. Low LVOT VTI and increased RV/LV are useful for identifying normotensive patients with PE at risk for short term adverse outcomes. Combining an LVOT VTI ≤ 15 cm with a RV/LV ≥ 1 can identify with increased accuracy PE patients with impending risk of clinical deterioration. Full article
(This article belongs to the Special Issue Cardio-Renal Metabolic Syndrome: Interdisciplinary Diagnostic Methods 2.0)
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Review

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26 pages, 2690 KiB  
Review
Diagnosing Arterial Stiffness in Pregnancy and Its Implications in the Cardio-Renal-Metabolic Chain
by Vladiana-Romina Turi, Constantin Tudor Luca, Dan Gaita, Stela Iurciuc, Izabella Petre, Mircea Iurciuc, Tunde Horvath and Dragos Cozma
Diagnostics 2022, 12(9), 2221; https://0-doi-org.brum.beds.ac.uk/10.3390/diagnostics12092221 - 14 Sep 2022
Cited by 3 | Viewed by 2190
Abstract
Cardio-renal and metabolic modifications during gestation are crucial determinants of foetal and maternal health in the short and long term. The cardio-renal metabolic syndrome is a vicious circle that starts in the presence of risk factors such as obesity, hypertension, diabetes, kidney disease [...] Read more.
Cardio-renal and metabolic modifications during gestation are crucial determinants of foetal and maternal health in the short and long term. The cardio-renal metabolic syndrome is a vicious circle that starts in the presence of risk factors such as obesity, hypertension, diabetes, kidney disease and ageing, all predisposing to a status dominated by increased arterial stiffness and alteration of the vascular wall, which eventually damages the target organs, such as the heart and kidneys. The literature is scarce regarding cardio-renal metabolic syndrome in pregnancy cohorts. The present paper exposes the current state of the art and emphasises the most important findings of this entity, particularly in pregnant women. The early assessment of arterial function can lead to proper and individualised measures for women predisposed to hypertension, pre-eclampsia, eclampsia, and diabetes mellitus. This review focuses on available information regarding the assessment of arterial function during gestation, possible cut-off values, the possible predictive role for future events and modalities to reverse or control its dysfunction, a fact of crucial importance with excellent outcomes at meagre costs. Full article
(This article belongs to the Special Issue Cardio-Renal Metabolic Syndrome: Interdisciplinary Diagnostic Methods 2.0)
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22 pages, 2846 KiB  
Review
A Narrative Review of the Classical and Modern Diagnostic Methods of the No-Reflow Phenomenon
by Larisa Renata Pantea-Roșan, Simona Gabriela Bungau, Andrei-Flavius Radu, Vlad Alin Pantea, Mădălina Ioana Moisi, Cosmin Mihai Vesa, Tapan Behl, Aurelia Cristina Nechifor, Elena Emilia Babes, Manuela Stoicescu, Daniela Gitea, Diana Carina Iovanovici and Cristiana Bustea
Diagnostics 2022, 12(4), 932; https://0-doi-org.brum.beds.ac.uk/10.3390/diagnostics12040932 - 08 Apr 2022
Cited by 7 | Viewed by 2685
Abstract
The incidence of the no-reflow (NR) phenomenon varies depending on the diagnostic criteria used. If just the angiographic criteria are considered (i.e., a degree of thrombolysis in myocardial infarction ≤2), it will be found that the incidence of NR is quite low; on [...] Read more.
The incidence of the no-reflow (NR) phenomenon varies depending on the diagnostic criteria used. If just the angiographic criteria are considered (i.e., a degree of thrombolysis in myocardial infarction ≤2), it will be found that the incidence of NR is quite low; on the other hand, when the myocardial NR is taken into account (i.e., a decrease in the quality of myocardial reperfusion expressed by the degree of myocardial blush), the real incidence is higher. Thus, the early establishment of a diagnosis of NR and the administration of specific treatment can lead to its reversibility. Otherwise, regardless of the follow-up period, patients with NR have a poor prognosis. In the present work, we offer a comprehensive perspective on diagnostic tools for NR detection, for improving the global management of patients with arterial microvasculature damage, which is a topic of major interest in the cardiology field, due to its complexity and its link with severe clinical outcomes. Full article
(This article belongs to the Special Issue Cardio-Renal Metabolic Syndrome: Interdisciplinary Diagnostic Methods 2.0)
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