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Objectives: The aim of this study is to analyze the epidemiological characteristics and the biological profile of children from the southeast of Romania who have been newly diagnosed with type 1 diabetes (T1DM) and to investigate the potential relationships between vitamin D deficiency and the onset of this disease, especially in the context of the COVID-19 pandemic. Methods: This is a retrospective study that included 79 children under the age of 18 who were diagnosed with T1DM at the St. Ioan Galati Children's Emergency Clinical Hospital between 2018 and 2023. Their demographic data (age, sex, and home environment), medical history (family medical history, birth weight, Apgar score, and type of nutrition), and biological parameters, including glycemia, HbA1C, and vitamin D level, were collected. We used advanced statistical methods to compare the levels of vitamin D in the children with T1DM with a control group of nondiabetic children. Results: The demographic characteristics of new T1DM are a median age of 9 and female/male sex ratio of 1:3, with 50.6% living in urban areas, 59.5% with a normal body mass index, and 74.6% presenting with ketoacidosis. Vitamin D deficiency was found in 52% of diabetic cases compared to 2.53% in the nondiabetic controls. Conclusions: There is an increasing incidence of pediatric T1DM. Diabetic ketoacidosis was frequently diagnosed as an initial manifestation and has frequently accompanied lower levels of vitamin D. Children with T1DM showed significant vitamin D deficiencies compared to the control group, highlighting the need for the monitoring and supplementation of this vitamin. [ABSTRACT FROM AUTHOR]

Pediatric patients with polyuria polydipsia syndrome (PPS) represent a diagnostic challenge for clinicians because of the technical difficulties in performing the gold standard water deprivation test (WDT). Copeptin, a stable biomarker representing the C-terminal portion of the polypeptide chain of the antidiuretic hormone, is a reliable diagnostic tool. To assess the diagnostic accuracy of baseline copeptin dosing, arginine/hypertonic saline copeptin stimulation tests, and WDT. This study aimed to establish the diagnostic utility of copeptin in pediatric patients by distinguishing between central diabetes insipidus, nephrogenic diabetes insipidus, and primary polydipsia. Comparative and non-comparative primary studies published between January 2018 and August 2024 focusing on children were searched and included in PubMed, Cochrane Library, Web of Science, ScienceDirect, Scopus, and Google Scholar. The QUADAS-2 tool was used to assess the risk of bias and applicability. Meta-analyses used fixed effects models because of low heterogeneity and the HSROC model. Eleven studies were included with an overall low bias and no significant applicability concerns. The mean pooled sensitivity = 0.98 (95% CI: 0.936–1.025), pooled specificity = 0.947 (95% CI: 0.920–0.973), and AUC = 0.972 (95% CI: 0.952–0.992), indicating excellent diagnostic accuracy. Stimulation methods for copeptin dosing represent an effective and less invasive diagnostic test for children with PPS, and future development of standard copeptin testing protocols is needed. [ABSTRACT FROM AUTHOR]

The application of artificial intelligence (AI) in electrocardiography is revolutionizing cardiology and providing essential insights into the consequences of the COVID-19 pandemic. This comprehensive review explores AI-enhanced ECG (AI-ECG) applications in risk prediction and diagnosis of heart diseases, with a dedicated chapter on COVID-19-related complications. Introductory concepts on AI and machine learning (ML) are explained to provide a foundational understanding for those seeking knowledge, supported by examples from the literature and current practices. We analyze AI and ML methods for arrhythmias, heart failure, pulmonary hypertension, mortality prediction, cardiomyopathy, mitral regurgitation, hypertension, pulmonary embolism, and myocardial infarction, comparing their effectiveness from both medical and AI perspectives. Special emphasis is placed on AI applications in COVID-19 and cardiology, including detailed comparisons of different methods, identifying the most suitable AI approaches for specific medical applications and analyzing their strengths, weaknesses, accuracy, clinical relevance, and key findings. Additionally, we explore AI's role in the emerging field of cardio-oncology, particularly in managing chemotherapy-induced cardiotoxicity and detecting cardiac masses. This comprehensive review serves as both an insightful guide and a call to action for further research and collaboration in the integration of AI in cardiology, aiming to enhance precision medicine and optimize clinical decision-making. [ABSTRACT FROM AUTHOR]

Background: In recent decades, machine-learning (ML) technologies have advanced the management of high-dimensional and complex cancer data by developing reliable and user-friendly automated diagnostic tools for clinical applications. Immunohistochemistry (IHC) is an essential staining method that enables the identification of cellular origins by analyzing the expression of specific antigens within tissue samples. The aim of this study was to identify a model that could predict histopathological diagnoses based on specific immunohistochemical markers. Methods: The XGBoost learning model was applied, where the input variable (target variable) was the histopathological diagnosis and the predictors (independent variables influencing the target variable) were the immunohistochemical markers. Results: Our study demonstrated a precision rate of 85.97% within the dataset, indicating a high level of performance and suggesting that the model is generally reliable in producing accurate predictions. Conclusions: This study demonstrated the feasibility and clinical efficacy of utilizing the probabilistic decision tree algorithm to differentiate tumor diagnoses according to immunohistochemistry profiles. [ABSTRACT FROM AUTHOR]

(1) Background: Despite the recognized importance of the patient–doctor relationship (PDR) for pediatric diabetes management, the literature presents diverse and emerging findings regarding its impact on treatment outcomes for children with type 1 diabetes (T1D). (2) Methods: Using a meta-analytic approach, a comprehensive search for relevant studies was conducted across major databases, from the earliest study to June 2024. Inclusion criteria were studies on PDR and T1D outcomes in underaged individuals, providing quantitative results. (3) Results: Fifteen reports were included, showing a small but significant overall effect size (r = 0.165, p < 0.05) of PDR on T1D outcomes. Moderator analyses revealed significant associations from elements of PDR, duration of diagnosis, outcome assessment methods, information reporters, and being Caucasian. Demographic variables like gender, age, not being Caucasian, and caregiver's marital status did not significantly impact the association. Specific elements of PDR, such as clinician's objectives, communication, partnership, respect, and supportive care, showed significant positive effect sizes, while telecommunication did not. (4) Conclusions: A strong PDR is essential for managing diabetes in children, particularly in the early years of diagnosis. Future studies should use quantitative designs and include diverse demographics to better understand PDR's connection to T1D outcomes. [ABSTRACT FROM AUTHOR]

Introduction: Children and adolescents with diabetes face challenges that can significantly impact their quality of life. Investigating psychological interventions for stress management can equip them with the skills needed to cope with type 1 diabetes. This study investigated the impact of a brief Acceptance and Commitment Therapy (ACT) intervention on stress management, diabetes acceptance, psychological flexibility, and patient-doctor relationships among this population. Methods: A total of 55 children, and adolescents from Romania participated in a four-session ACT intervention for type 1 diabetes. The evaluation instruments used were the Perceived Stress Scale for Children (PSS-C), Acceptance and Action Diabetes Questionnaire (AADQ), Children's Psychological Flexibility Questionnaire (CPFQ), and Patient-Doctor Relationship Questionnaire (PDRQ-9). Results: The participants (mean age = 14.14, SD = 2.26; 67% girls) reported lower stress levels, increased acceptance of diabetes, and greater psychological flexibility after the intervention. Additionally, the patient-doctor relationship was enhanced, potentially improving patient adherence to treatment. Positive qualitative feedback mirrored previous ACT research in the paediatric population, highlighting the beneficial role of experiential activities and metaphors when working with this target group. Discussion: This study adds to the growing body of evidence supporting the effectiveness of ACT in enhancing healthy coping strategies among children and adolescents with chronic illnesses. [ABSTRACT FROM AUTHOR]

Diabetes in children is a chronic condition that involves rigorous blood sugar management to prevent complications. The psychological stress associated with this disease can worsen the general condition and oral health of diabetic children, causing xerostomia, oral infections and gum disease. This study explores the effectiveness of stress management strategies, including relaxation techniques, psychological counseling, family support, and behavioral interventions such as cognitive behavioral therapy (CBT) and mindfulness. Research shows that these methods reduce anxiety, improve blood sugar control and adherence to treatment, thus contributing to better oral health and an improved overall quality of life. The integrated approach to psychological stress is essential in the holistic treatment of diabetic children, to prevent long-term complications and promote healthy living. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) is a reality of our times, and it has been successfully implemented in all fields, including medicine. As a relatively new domain, all efforts are directed towards creating algorithms applicable in most medical specialties. Pathology, as one of the most important areas of interest for precision medicine, has received significant attention in the development and implementation of AI algorithms. This focus is especially important for achieving accurate diagnoses. Moreover, immunohistochemistry (IHC) serves as a complementary diagnostic tool in pathology. It can be further augmented through the application of deep learning (DL) and machine learning (ML) algorithms for assessing and analyzing immunohistochemical markers. Such advancements can aid in delineating targeted therapeutic approaches and prognostic stratification. This article explores the applications and integration of various AI software programs and platforms used in immunohistochemical analysis. It concludes by highlighting the application of these technologies to pathologies such as breast, prostate, lung, melanocytic proliferations, and hematologic conditions. Additionally, it underscores the necessity for further innovative diagnostic algorithms to assist physicians in the diagnostic process. [ABSTRACT FROM AUTHOR]

Background/Objectives: The objective of the study is to analyze the impact of cardiovascular history on mortality in COVID-19 patients, hospitalized in the intensive care unit with indications for continuous positive airway pressure (CPAP) and subsequently mechanical ventilation, without oncological disease. Methods: A retrospective observational study was carried out on a group of 108 critical COVID-19 patients. We compared demographic data, paraclinical and clinical parameters, days of hospitalization, and mortality rate between two groups of patients, one group with a history of cardiovascular disease (81 patients) and a group without a history of cardiovascular disease (27 patients). Results: Patients with cardiovascular antecedents had a higher mortality rate than those without cardiovascular antecedents, presenting severe forms with shorter survival time in the intensive care unit and increased inflammatory evidence. Compared to patients without a history of cardiovascular illness, those with cardiovascular disease had a lower average age, and developed a severe form of COVID-19. Conclusions: Cardiovascular antecedents can worsen the prognosis of patients with COVID-19, requiring a careful screening and multidisciplinary approach. [ABSTRACT FROM AUTHOR]

In recent years, a series of recommendations have been issued regarding the administration of drugs because of awareness of the serious side effects associated with certain classes of drugs, especially in vulnerable patients. Taking into account the obligation of the continuous improvement of professionals in the medical fields and the fact that we are in the midst of a "malpractice accusations pandemic", through this work, we propose to carry out a "radiography" of the scientific literature regarding adverse effects that may occur as a result of the interaction of drugs with the physiopathological particularities of patients. The literature reports various cases regarding different classes of drugs administration associated with adverse effects in the elderly people, such as fluoroquinolones, which can cause torsade de pointes or tendinopathy, or diuretics, which can cause hypokalemia followed by torsade de pointes and cardiorespiratory arrest. Also, children are more prone to the development of adverse reactions due to their physiological particularities, while for pregnant women, some drugs can interfere with the normal development of the fetus, and for psychiatric patients, the use of neuroleptics can cause agranulocytosis. Considering the physiopathological particularities of each patient, the drug doses must be adjusted or even completely removed from the treatment scheme, thus requiring the mandatory active participation both of clinician pharmacists and specialists in the activity of medical-pharmaceutical analysis laboratories within the structure of hospitals. [ABSTRACT FROM AUTHOR]

Background/Objectives: The newly emergent COVID-19 pandemic involved primarily the respiratory system and had also major cardiovascular system (CVS) implications, revealed by acute myocardial infarction (AMI), arrhythmias, myocardial injury, and thromboembolism. CVS involvement is done through main mechanisms—direct and indirect heart muscle injury, with high mortality rates, worse short-term outcomes, and severe complications. AMI is the echo of myocardial injury (revealed by increases in CK, CK-MB, and troponin serum markers—which are taken into consideration as possible COVID-19 risk stratification markers). When studying myocardial injury, physicians can make use of imaging studies, such as cardiac MRI, transthoracic (or transesophageal) echocardiography, coronary angiography, cardiac computed tomography, and nuclear imaging (which have been used in cases where angiography was not possible), or even endomyocardial biopsy (which is not always available or feasible). Two-case-series presentations: We present the cases of two COVID-19 positive male patients who were admitted into the Clinical Department of Cardiology in "Sfântul Apostol Andrei" Emergency Clinical Hospital of Galați (Romania), who presented with acute cardiac distress symptoms and have been diagnosed with ST elevation AMI. The patients were 82 and 57 years old, respectively, with moderate and severe forms of COVID-19, and were diagnosed with anteroseptal left ventricular AMI and extensive anterior transmural left ventricular AMI (with ventricular fibrillation at presentation), respectively. The first patient was a non-smoker and non-drinker with no associated comorbidities, and was later discharged, while the second one died due to AMI complications. Conclusions: From this two-case series, we extract the following: old age alone is not a significant risk factor for adverse outcomes in COVID-19-related CVS events, and that the cumulative effects of several patient-associated risk factors (be it either for severe forms of COVID-19 and/or acute cardiac injury) will most probably lead to poor patient prognosis (death). At the same time, serum cardiac enzymes, dynamic ECG changes, along with newly developed echocardiographic modifications are indicators for poor prognosis in acute cardiac injury in COVID-19 patients with acute myocardial injury, regardless of the presence of right ventricular dysfunction (due to pulmonary hypertension). [ABSTRACT FROM AUTHOR]

Background: Elizabethkingia meningoseptica are Gram-negative rod bacteria which are commonly found in the environment. The bacteria have also been associated with nosocomial infections, having been isolated on contaminated medical equipment, especially in neonatal wards.

This article provides information on the surgical and medical management of periodontal complications during pregnancy. It emphasizes the importance of integrating periodontal treatment into prenatal care to improve the health of both the mother and fetus. The article discusses the impact of hormonal changes during pregnancy on gum inflammation and the development of periodontal disease. It also highlights the importance of maintaining good oral hygiene and seeking regular dental care during pregnancy. The document includes a list of scientific articles and studies that cover various aspects of oral health and pregnancy outcomes, providing valuable information for researchers and healthcare professionals. [Extracted from the article]

The article explores the use of surgically assisted rapid maxillary expansion (SARMS) in adult patients to correct jaw discrepancies and improve tooth and jaw alignment. It highlights the benefits of SARMS, such as personalized treatment and improved aesthetics, but also acknowledges the potential complications and risks involved. The article discusses advancements in medical imaging and customized approaches that have strengthened SARMS in modern orthodontics, leading to precise and minimally invasive interventions. It emphasizes the importance of personalized approaches and adjunctive therapies to enhance patient outcomes and comfort. The article also mentions the use of rapid surgically assisted maxillary expansion (SARME) in treating dental conditions and the need for careful evaluation and collaboration between specialists. The text includes a list of references from scientific journals covering various topics in oral rehabilitation and dentistry. [Extracted from the article]

This article from the Romanian Journal of Oral Rehabilitation discusses the use of gynecological drug treatments for vaginal and vulvar candidiasis in individuals with diabetes and oral pathology. It emphasizes the importance of glucose control and an integrated approach to treatment. The document also provides information on diagnosing and treating candidiasis, highlighting the need for proper blood glucose control and collaboration between healthcare professionals. Additionally, there are lists of articles and references related to oral health, dentistry, dermatology, and other specific topics, providing valuable information for researchers and professionals in these fields. [Extracted from the article]

The given document is a compilation of articles and studies covering various topics related to oral health, pregnancy, orthodontics, and other dental subjects. The articles discuss subjects such as the impact of periodontal disease on pregnancy outcomes, oral hygiene practices of pregnant women, the use of adhesive systems in orthodontic treatment, and the effects of composite resin on enamel after debonding. Other topics include the prevention of SARS-CoV-2 cases in healthcare settings, the use of dental lasers in restorative dentistry, and the relationship between glycemic control and cardiovascular risk in non-diabetic individuals. The document also includes studies on the effects of medications and therapeutic decisions in dental treatment during pregnancy. [Extracted from the article]

This article from the Romanian Journal of Oral Rehabilitation discusses the effects of nonsteroidal anti-inflammatory drugs (NSAIDs) on the oral cavity. It highlights the potential adverse effects of NSAIDs on teeth and oral tissues, such as oral ulceration and bleeding gums. The article also explores the benefits of using Drosera sp., a plant with analgesic and anti-inflammatory properties, in dentistry. It emphasizes the importance of monitoring patients on NSAID therapy and considering alternatives when possible. Additionally, the document provides a list of studies and articles on various topics related to oral health and dental treatments, offering valuable information for researchers in these areas. [Extracted from the article]

(1) Background: This study aimed to outline the antioxidant, antitumoral, and cytotoxic proprieties of various types of Perilla frutescens extracts obtained from the leaves of the species. (2) Methods: We determined total polyphenols, flavonoids and anthocyanins contents, as well as the in vitro antioxidant, antitumoral, and cytotoxic actions in three types of ethanolic extracts (E1, E2, E3) and in three types of acetone: ethanol extracts (A1, A2, A3) of Perilla frutescens according to standardized procedures. (3) Results: We found that Perilla frutescens ethanolic extracts had the highest total phenol and anthocyanins concentrations. The flavonoids concentration was not statistically different between the extracts. The iron chelating capacity, hydroxyl radical scavenging capacity, superoxide anion radical scavenging capacity, and lipoxygenase inhibition capacity showed a significant increase with higher concentrations of Perilla frutescens extracts, particularly the ethanolic extracts. Perillyl alcohol had greater cytotoxic capacity in the MG-63 cell line and E1 extract showed similar significant cytotoxic effects in the A431 cell line. (4) Conclusions: Both ethanolic and acetone–ethanol extracts from Perilla frutescens exhibited important antioxidant and antitumoral actions in vitro, which proportionally increased with concentration. The cytotoxic threshold determined in this study for various types of extracts could help determine the best dosage with the maximum antioxidant and antitumoral potential. Our results could serve as a basis for further studies that will investigate the cytotoxic effects of Perilla frutescens variants on various types of cancer cell lines. [ABSTRACT FROM AUTHOR]

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(1) Background: Chronic renal disorders (CRD) are associated with significant comorbidities and necessitate complex therapeutic management. As time passed, Perilla frutescens (PF) became a promising therapeutic option for CRD. The aim of this systematic review and meta-analysis was to outline the therapeutic effects of PF extracts on various models of immunoglobulin a (IgA) nephropathy; (2) Methods: Medline, Embase, and Cochrane databases were used to find relevant studies. All prospective interventional studies that evaluated the effect of PF extract versus placebo on rat models of chronic renal disorders were assessed according to the international guidelines; (3) Results: Our search yielded 23 unique records, out of which only five were included in the analysis. Our results showed that administration of PF extracts led to a statistically significant reduction in proteinuria and PCNA levels in rats that received high doses of the extract as well as in the PCNA level and DNA synthesis in rats that received low doses of the extract. The evaluated outcomes benefited from a low degree of heterogeneity; (4) Conclusions: Some of the evaluated outcomes were significantly reduced by both high and low doses of extracts from Perilla frutescens. Further studies are needed to determine the exact effect over IgA nephropathy in human subjects. [ABSTRACT FROM AUTHOR]