Clinical Management Of Patients Research Articles

Clinical characteristics, imaging findings, management, and outcomes of patients with scimitar syndrome at a tertiary referral healthcare center in Colombia.

Scimitar Syndrome is part of a complex spectrum of congenital cardiovascular anomalies related to anomalous pulmonary venous return. Depending on the extent of involvement, treatment can be either expectant or surgical. Prognosis and survival have been controversial, with some results supporting early surgical management. This research aims to disclose the outcomes and describe the management, clinical and imaging characteristics of patients diagnosed with Scimitar Syndrome treated in a tertiary referral healthcare center. Longitudinal descriptive observational study. The study included all patients diagnosed with scimitar syndrome in our institution between January/2011 and December/2022. A description of the sociodemographic and clinical characteristics, diagnostic tools used, treatment features, and patient outcomes is provided. Eleven patients were included, with a mean age at diagnosis of five years (CI 0-17), six of which were female (54.55%). Nine (81.82%) patients had evidence of a scimitar vein on the chest radiograph, six (54.55%) cardiac dextroposition, six (54.55%) pulmonary hypoplasia, five (45.45%) right pulmonary artery hypoplasia, and three (27.27%) had aortopulmonary collaterals. Four (36.36%) patients had horseshoe lungs, and four (36.36%) had bronchopulmonary sequestration. In the associations, two (18.18%) patients were found to have an atrial septal defect, three (27.27%) ventricular septal defect, and one (9%) had Tetralogy of Fallot. Pulmonary hypertension was demonstrated in two (18.18%) patients. Seven (63.64%) required surgical management to correct the scimitar vein, and two patients died due to unrelated complications. Scimitar syndrome presents diagnostic and treatment challenges, necessitating a multidisciplinary approach for timely care. Chest radiography and CT scans are primary diagnostic tools, with surgical intervention often warranted alongside other heart defects or significant hemodynamic repercussions. Medical management is effective for mild to moderate cases. Long-term patient outcomes remain uncertain due to study limitations, but improved life expectancy is anticipated with ongoing care.

A clinical impact study of dermatologists' use of diagnostic gene expression profile testing to guide patient management.

Aim: Cutaneous melanocytic neoplasms with diagnostic and/or clinical ambiguity pose patient management challenges. Methods: Six randomized case scenarios with diagnostic/clinical uncertainty were described with/without a benign or malignant diagnostic gene expression profile (GEP) result. Results: Clinical impact was assessed by reporting the mean increase/decrease of management changes normalized to baseline (n=32 dermatologists). Benign GEP results prompted clinicians to decrease surgical margins (84.2%). Malignant GEP results escalated surgical excision recommendations (100%). A majority (72.2%) reduced and nearly all (98.9%) increased follow-up frequency for benign or malignant GEP results, respectively. There was an overall increase in management plan confidence with GEP results. Conclusion: Diagnostic GEP tests help guide clinical decision-making in a variety of diagnostically ambiguous or clinicopathologically discordant scenarios.

Continuous Cardiac Magnetic Resonance Imaging after Coronary Revascularization for Left Ventricular Dysfunction

Objective: To determine the contribution of serial cardiac magnetic resonance imaging (MRI) following coronary revascularization (CR) to the clinical management of patients with left ventricular insufficiency. Methods: The study objects comprised the clinical data of 145 patients with CR undergoing CR surgery for left ventricular insufficiency in our hospital from January 2021 to January 2023. The patients were divided into the case (n = 35, left ventricular ejection fraction (LVEF) <50%) and control (n = 110, LVEF ≥50%) groups based on the LVEF recorded in the medical record system 6 months after surgery. Preoperative LVEF left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV), left ventricular end-diastolic volume index (LVEDVI), left ventricular end-systolic volume index (LVESVI), cardiac index (CI), and other cardiac magnetic resonance detection parameters were compared. Logistic regression analysis was performed to analyze the prognostic factors of patients undergoing CR after CR surgery for left ventricular insufficiency. The receiver operating characteristic curve was drawn, the sensitivity, specificity, and area under curve (AUC) were calculated, and the best prediction threshold was determined. The prognostic value of cardiac MRI in CR surgery for left ventricular dysfunction was observed. Results: Cardiac MRI revealed that the case group had higher LVEDV, LVESV, LVEDVI, LVESVI, and CI than the control group. However, the LVEF index was lower than that in the control group (p < 0.05). Logistic regression analysis was conducted for indicators with differences, and the results indicate LVEF as a protective factor for the postoperative efficacy of the patients, with an odds ratio (OR) <1. LVEDV, LVESV, LVEDVI, LVESVI, and CI were all risk factors for the postoperative efficacy of the patients, with an OR >1. The AUC values of LVEF, LVEDV, LVESV, LVEDVI, LVESVI, and CI were 0.698, 0.674, 0.654, 0.700, 0.572, and 0.812, respectively. The optimal threshold values were 53.57%, 112.33 and 68.5 mL, and 205.51, 163.99, and 2.14 L/m2, and their corresponding sensitivities reached 0.618, 0.514, 0.654, 0.800, 0.371, and 0.829 for each index. The specificities were 0.800, 0.836, 0.771, 0.609, 0.836, and 0.645, which indicate that LVEF, LVEDV, LVESV, LVEDVI, LVESVI, and CI had a certain degree of predictive value for postoperative cardiac function recovery. Conclusion: LVEDV, LVESV, LVEDVI, LVESVI, CI, and LVEF are all factors affecting the clinical efficacy in patients undergoing CR after left ventricular insufficiency. In addition, cardiac MRI can effectively detect the above factors and effectively predict the postoperative efficacy among patients.

Cadherin-17 as a target for the immunoPET of adenocarcinoma.

Cadherin-17 (CDH17) is a calcium-dependent cell adhesion protein that is overexpressed in several adenocarcinomas, including gastric, colorectal, and pancreatic adenocarcinoma. High levels of CDH17 have been linked to metastatic disease and poor prognoses in patients with these malignancies, fueling interest in the protein as a target for diagnostics and therapeutics. Herein, we report the synthesis, in vitro validation, and in vivo evaluation of a CDH17-targeted 89Zr-labeled immunoPET probe. The CDH17-targeting mAb D2101 was modified with an isothiocyanate-bearing derivative of desferrioxamine (DFO) to produce a chelator-bearing immunoconjugate - DFO-D2101 - and flow cytometry and surface plasmon resonance (SPR) were used to interrogate its antigen-binding properties. The immunoconjugate was then radiolabeled with zirconium-89 (t1/2 ~ 3.3 days), and the serum stability and immunoreactive fraction of [89Zr]Zr-DFO-D2101 were determined. Finally, [89Zr]Zr-DFO-D2101's performance was evaluated in a trio of murine models of pancreatic ductal adenocarcinoma (PDAC): subcutaneous, orthotopic, and patient-derived xenografts (PDX). PET images were acquired over the course of 5 days, and terminal biodistribution data were collected after the final imaging time point. DFO-D2101 was produced with a degree of labeling of ~ 1.1 DFO/mAb. Flow cytometry with CDH17-expressing AsPC-1 cells demonstrated that the immunoconjugate binds to its target in a manner similar to its parent mAb, while SPR with recombinant CDH17 revealed that D2101 and DFO-D2101 exhibit nearly identical KD values: 8.2 × 10-9 and 6.7 × 10-9 M, respectively. [89Zr]Zr-DFO-D2101 was produced with a specific activity of 185 MBq/mg (5.0 mCi/mg), remained >80% stable in human serum over the course of 5 days, and boasted an immunoreactive fraction of >0.85. In all three murine models of PDAC, the radioimmunoconjugate yielded high contrast images, with high activity concentrations in tumor tissue and low uptake in non-target organs. Tumoral activity concentrations reached as high as >60 %ID/g in two of the cohorts bearing PDXs. Taken together, these data underscore that [89Zr]Zr-DFO-D2101 is a highly promising probe for the non-invasive visualization of CDH17 expression in PDAC. We contend that this radioimmunoconjugate could have a significant impact on the clinical management of patients with both PDAC and gastrointestinal adenocarcinoma, most likely as a theranostic imaging tool in support of CDH17-targeted therapies.

The Indian multiple sclerosis and allied demyelinating disorders registry and research network (IMSRN): Inception to reality

BackgroundDemyelinating disorders of the CNS are a set of chronic, inflammatory, autoimmune conditions. To improve understanding of epidemiology, population characteristics and disease behaviour, an Indian, hospital-based registry has been established to serve as a platform for fostering collaborative research. The following article outlines the development, governance and current status of the Indian Multiple Sclerosis and Allied Demyelinating Disorders Registry and Research Network (IMSRN), the country's first scientific database and dedicated expert research network of these disorders. MethodsMultiple reviews and stakeholder meetings were held to set up the registry. The IMSRN was formally initiated in August 2021 across 26 tertiary care centres. The registry is governed by the Indian Council of Medical Research (ICMR), New Delhi and its task force committee. The online secure database captures detailed clinical and imaging patient details at baseline and periodic follow up. Periodic meetings of the task force and collaborators are held to discuss the progress, improvements and research proposals. ResultsThe IMSRN is currently active and recruiting patients following an informed consent. As of current, more than 3336 patients including RIS (N = 8), CIS (N = 134), MS (N = 1674), NMOSD (N= 561), MOGAD (N = 404), ADEM (N = 46), CRION (N = 21), CLIPPERS (N = 2), and GFAP (N =1) have been enrolled. 340 patients, not meeting the diagnostic criteria for any of the aforementioned disease phenotypes are in the others category. Various research proposals are being developed to study different aspects of these disorders. ConclusionThe IMSRN has been established with a vision to strengthen our understanding about MS, NMOSD, MOGAD, and other demyelinating disorders. This would help answer important questions related to disease profiles and long-term outcomes of patients in the Indian setting. From the standpoint of clinical practice, therapeutics, patient management, research, and national policy building, IMSRN shall serve as a synergising platform for bridging the gap in the aforementioned areas and guiding future research through national and international collaboration.

Radiographic and Advanced Imaging Evaluation of Posterior Shoulder Instability.

Posterior shoulder instability is an uncommon but important cause of shoulder dysfunction and pain which may occur as the result of seizure, high energy trauma, or repetitive stress related to occupational or sport-specific activities. This current review details the imaging approach to the patient with posterior shoulder instability and describes commonly associated soft tissue and bony pathologies identified by radiographs, CT, and MR imaging. Advances in MR imaging technology and techniques allow for more accurate evaluation of bone and soft tissue pathology associated with posterior shoulder instability while sparing patients exposure to radiation. Imaging can contribute significantly to the clinical management of patients with posterior shoulder instability by demonstrating the extent of associated injuries and identifying predisposing anatomic conditions. Radiologic evaluation should be guided by clinical history and physical examination, beginning with radiographs followed by CT and/or MRI for assessment of osseous and soft tissue pathology. Synthesis of a patient's clinical history, physical exam findings, and radiologic examinations should guide clinical management.

Possible interactions between selected food processing and medications.

The impact of food processing on drug absorption, metabolism, and subsequent pharmacological activity is a pressing yet insufficiently explored area of research. Overlooking food-processing-drug interactions can significantly disrupt optimal clinical patient management. The challenges extend beyond merely considering the type and timing of food ingestion as to drug uptake; the specific food processing methods applied play a pivotal role. This study delves into both selected thermal and non-thermal food processing techniques, investigating their potential interference with the established pharmacokinetics of medications. Within the realm of thermal processing, conventional methods like deep fat frying, grilling, or barbecuing not only reduce the enteric absorption of drugs but also may give rise to side-products such as acrylamide, aldehydes, oxysterols, and oxyphytosterols. When produced in elevated quantities, these compounds exhibit enterotoxic and pro-inflammatory effects, potentially impacting the metabolism of various medications. Of note, a variety of thermal processing is frequently adopted during the preparation of diverse traditional herbal medicines. Conversely, circumventing high heat through innovative approaches (e.g., high-pressure processing, pulsed electric fields, plasma technology), opens new avenues to improve food quality, efficiency, bioavailability, and sustainability. However, it is crucial to exercise caution to prevent the excessive uptake of active compounds in specific patient categories. The potential interactions between food processing methods and their consequences, whether beneficial or adverse, on drug interactions can pose health hazards in certain cases. Recognizing this knowledge gap underscores the urgency for intensified and targeted scientific inquiry into the multitude of conceivable interactions among food composition, processing methods, and pharmaceutical agents. A thorough investigation into the underlying mechanisms is imperative. The complexity of this field requires substantial scrutiny and collaborative efforts across diverse domains, including medicine, pharmacology, nutrition, food science, food technology, and food engineering.

A molecular journey on the pathogenesis of primary hyperoxaluria.

Primary hyperoxalurias (PHs) are rare disorders caused by the deficit of liver enzymes involved in glyoxylate metabolism. Their main hallmark is the increased excretion of oxalate leading to the deposition of calcium oxalate stones in the urinary tract. This review describes the molecular aspects of PHs and their relevance for the clinical management of patients. Recently, the study of PHs pathogenesis has received great attention. The development of novel in vitro and in vivo models has allowed to elucidate how inherited mutations lead to enzyme deficit, as well as to confirm the pathogenicity of newly-identified mutations. In addition, a better knowledge of the metabolic consequences in disorders of liver glyoxylate detoxification has been crucial to identify the key players in liver oxalate production, thus leading to the identification and validation of new drug targets. The research on PHs at basic, translational and clinical level has improved our knowledge on the critical factors that modulate disease severity and the response to the available treatments, leading to the development of new drugs, either in preclinical stage or, very recently, approved for patient treatment.

Significant improvement of physicians' knowledge and clinical practice: an opportune, effective, and convenient continuing medical education program on functional dyspepsia.

This cohort study aimed to explore the effect of a one-day online continuing medical education (CME) on the improvement of physicians' knowledge and clinical practice on functional dyspepsia (FD). Physicians were invited to participate in this CME via medical education applications. FD training videos made in advance were sent to participants via a weblink. Before and after training, participants were required to finish the FD knowledge test and provide case information of FD patients. McNemar test, Wilcoxon rank-sum test, Freidman test, Chi-square test, quantile regression, and generalized estimating equations (GEE) were used to perform statistical analysis. There were 397 of 430 (92.33%) physicians finished this CME program. The total score of the FD knowledge test after training was significantly higher compared with before training [488.3 (468.3-510.0) vs. 391.7 (341.7-450.0), p < 0.001]. Particularly, physicians from primary hospitals show more increase in total scores than physicians from secondary and tertiary hospitals. According to the GEE model, receiving this online training was an independent predictor of physicians' choice of upper gastrointestinal endoscopy in patients with FD [OR 1.73, 95%CI (1.09-2.73), p = 0.020], especially in PDS. Also, it was an independent predictor of physicians' choice of acid-suppressive drugs in patients with FD [OR 1.30, 95%CI (1.03-1.63), p = 0.026], especially in EPS and PDS overlapping EPS. This one-day online CME program effectively and conveniently improved physicians' knowledge and clinical practice, providing new ideas for future CME and facilitating precise clinical management of FD patients with different subtypes especially in primary hospitals.

Proton FLASH Radiotherapy Ameliorates Radiation-induced Salivary Gland Dysfunction and Oral Mucositis and Increases Survival in a Mouse Model of Head and Neck Cancer.

Head and neck cancer radiotherapy often damages salivary glands and oral mucosa, severely negatively impacting patients' quality of life. The ability of FLASH proton radiotherapy (F-PRT) to decrease normal tissue toxicity while maintaining tumor control compared with standard proton radiotherapy (S-PRT) has been previously demonstrated for several tissues. However, its potential in ameliorating radiation-induced salivary gland dysfunction and oral mucositis and controlling orthotopic head and neck tumor growth has not been reported. The head and neck area of C57BL/6 mice was irradiated with a single dose of radiotherapy (ranging from 14-18 Gy) or a fractionated dose of 8 Gy × 3 of F-PRT (128 Gy/second) or S-PRT (0.95 Gy/second). Following irradiation, the mice were studied for radiation-induced xerostomia by measuring their salivary flow. Oral mucositis was analyzed by histopathologic examination. To determine the ability of F-PRT to control orthotopic head and neck tumors, tongue tumors were generated in the mice and then irradiated with either F-PRT or S-PRT. Mice treated with either a single dose or fractionated dose of F-PRT showed significantly improved survival than those irradiated with S-PRT. F-PRT-treated mice showed improvement in their salivary flow. S-PRT-irradiated mice demonstrated increased fibrosis in their tongue epithelium. F-PRT significantly increased the overall survival of the mice with orthotopic tumors compared with the S-PRT-treated mice. The demonstration that F-PRT decreases radiation-induced normal tissue toxicity without compromising tumor control, suggests that this modality could be useful for the clinical management of patients with head and neck cancer.

Artificial neural network-assisted prediction of radiobiological indices in head and neck cancer.

We proposed an artificial neural network model to predict radiobiological parameters for the head and neck squamous cell carcinoma patients treated with radiation therapy. The model uses the tumor specification, demographics, and radiation dose distribution to predict the tumor control probability and the normal tissue complications probability. These indices are crucial for the assessment and clinical management of cancer patients during treatment planning. Two publicly available datasets of 31 and 215 head and neck squamous cell carcinoma patients treated with conformal radiation therapy were selected. The demographics, tumor specifications, and radiation therapy treatment parameters were extracted from the datasets used as inputs for the training of perceptron. Radiobiological indices are calculated by open-source software using dosevolume histograms from radiation therapy treatment plans. Those indices were used as output in the training of a single-layer neural network. The distribution of data used for training, validation, and testing purposes was 70, 15, and 15%, respectively. The best performance of the neural network was noted at epoch number 32 with the mean squared error of 0.0465. The accuracy of the prediction of radiobiological indices by the artificial neural network in training, validation, and test phases were determined to be 0.89, 0.87, and 0.82, respectively. We also found that the percentage volume of parotid inside the planning target volume is the significant parameter for the prediction of normal tissue complications probability. We believe that the model has significant potential to predict radiobiological indices and help clinicians in treatment plan evaluation and treatment management of head and neck squamous cell carcinoma patients.

Deep Learning–Based Automated Imaging Classification of ADPKD

IntroductionThe Mayo imaging classification model (MICM) requires a pre-step qualitative assessment to determine whether a patient is in class 1 (typical) or class 2 (atypical), where patients assigned to class 2 are excluded from the MICM application. MethodsWe developed a deep learning-based method to automatically classify class 1 and 2 from MR images and provide classification confidence utilizing abdominal T2-weighted magnetic resonance images from 486 subjects, where the transfer learning was applied. In addition, the explainable artificial intelligence (XAI) method is illustrated to enhance the explainability of the automated classification results. For performance evaluations, the confusion matrices were generated and receiver operating characteristic curves were drawn to measure the area under the curve. ResultsThe proposed method showed excellent performance for the classification of class 1 (97.7%) and 2 (100%), where the combined test accuracy of 98.01%. The precision and recall for predicting the class 1 were 1.00 and 0.98, respectively, with the F1-score of 0.99, while those for predicting the class 2 were 0.87 and 1.00, respectively, with the F1-score of 0.93. The weighted averages of precision and recall were 0.98 and 0.98, respectively, showing the classification confidence scores while the XAI method well highlighted contributing regions for the classification. ConclusionsThe proposed automated method can classify the class 1 and 2 cases as accurately as the level of a human expert, which may be a useful tool to facilitate clinical trials investigating different types of kidney morphology and clinical management of patients with ADPKD.

A meta-path, attention-based deep learning method to support hepatitis carcinoma predictions for improved cirrhosis patient management

Hepatitis carcinoma (HCC) accounts for the majority of liver cancer–related deaths globally. Cirrhosis often precedes HCC clinically in a strong, temporal relationship. Therefore, identifying cirrhosis patients at higher risk of HCC is crucial to physicians' clinical decision-making and patient management. Effective estimates of at-risk patients can facilitate timely therapeutic interventions and thereby enhance patient outcomes and well-being. We develop a novel, meta-path, attention-based deep learning method to identify at-risk cirrhosis patients. The proposed method integrates complex patient–medication interactions, essential patient–patient and medication–medication links, and the combined effects of medication and comorbidity to support downstream predictions. An empirical test of the proposed method's predictive utilities, relative to nine existing methods, uses a large sample of real-world cirrhosis patient data. The comparative results indicate that the proposed method can identify at-risk patients more effectively than all the benchmarks. The current research has important implications for clinical decision support and patient management, and it can facilitate patient self-management and treatment compliance too.

Identification of Novel Molecular and Clinical Biomarkers of Survival in Glioblastoma Multiforme Patients: A Study Based on The Cancer Genome Atlas Data.

Glioblastoma multiforme (GBM) is the most prevalent type of brain tumour; although advancements in treatment have been made, the median survival time for GBM patients has persisted at 15 months. This study is aimed at investigating the genetic alterations and clinical features of GBM patients to find predictors of survival. GBM patients' methylation and gene expression data along with clinical information from TCGA were retrieved. The most overrepresented pathways were identified independently for each omics dataset. From the genes found in at least 30% of these pathways, one gene that was identified in both sets was further examined using the Kaplan-Meier method for survival analysis. Additionally, three groups of patients who started radio and chemotherapy at different times were identified, and the influence of these variations in treatment modality on patient survival was evaluated. Four pathways that seemed to negatively impact survival and two with the opposite effect were identified. The methylation status of PRKCB was highlighted as a potential novel biomarker for patient survival. The study also found that treatment with chemotherapy prior to radiotherapy can have a significant impact on patient survival, which could lead to improvements in clinical management and therapeutic approaches for GBM patients.

Management Approaches and Patient Outcomes for Giant Pituitary Neuroendocrine Tumors Classified as Knosp Grade 3 and 4.

Background Treatment of patients with a giant pituitary neuroendocrine tumor (GPitNET) is challenging. Here, we present the methods used for the clinical management of patients who underwent GPitNET resection mainly via endoscopic endonasal surgery along with multimodal supportto avoid surgical complications, which can affect the outcomes. Methodology The medical records of 25 patients with a GPitNET who underwent endonasal endoscopic surgery were retrospectively reviewed. Complications were analyzed and factors affecting the extent of resection were evaluated. Results Gross total resection was achieved in six (24%), near-total resection (>90%) in nine (36%), and partial resection in 10 (40%) patients. Multivariate analyses revealed that tumors invading the middle fossa had negative effects on the extent of resection (odds ratio = 0.092, p = 0.047). Postoperative vision improved or normalized in 16 (64%), remained stable in eight (32%), and worsened in one (4%), while a new hormonal deficit was noted in seven (28%) patients. Complications included permanent oculomotor nerve palsy in one (4%) and transient oculomotor palsy in one (4%), apoplexy of the residual tumor resulting in ischemic stroke in one (4%), postoperative cerebrospinal fluid leakage in one (4%), and permanent diabetes insipidus in six (24%) patients. Conclusions For GPitNETs that extend into the middle fossa, our study underscored the difficulties in surgical extraction and the necessity for tailored treatment approaches. To ensure the safest and most complete removal possible, the surgical strategy must be specifically adapted to each case. Additionally, employing a comprehensive support approach is essential to reduce the chance of complications in patients impacted by this condition.

Tuberculosis: Implications for Dentistry

Tuberculosis (TB) is an airborne infection caused by Mycobacterium tuberculosis complex and is highly infectious. Therefore, precautionary measures should be implemented prior to dental treatment to reduce the risk of infection to staff and other patients. Dental history and examination have a role in identification of TB infection. Complex medical history poses a challenge to safe patient management in a dental setting, and close liaison between different disciplines in managing these patients is of paramount importance. This article explores the classical clinical features of pulmonary TB, its oral manifestations and the dental management of patients with active and latent TB. CPD/Clinical Relevance: Clinicians should be aware of the clinical features and dental management of patients with active and latent TB.

Identification and validation of an immune-derived multiple programmed cell death index for predicting clinical outcomes, molecular subtyping, and drug sensitivity in lung adenocarcinoma.

Comprehensive cross-interaction of multiple programmed cell death (PCD) patterns in the patients with lung adenocarcinoma (LUAD) have not yet been thoroughly investigated. Here, we collected 19 different PCD patterns, including 1911 PCD-related genes, and developed an immune-derived multiple programmed cell death index (MPCDI) based on machine learning methods. Using the median MPCDI scores, we categorized the LUAD patients into two groups: low-MPCDI and high-MPCDI. Our analysis of the TCGA-LUAD training cohort and three external GEO cohorts (GSE37745, GSE30219, and GSE68465) revealed that patients with high-MPCDI experienced a more unfavorable prognosis, whereas those with low-MPCDI had a better prognosis. Furthermore, the results of both univariate and multivariate Cox regression analyses further confirmed that MPCDI serves as a novel independent risk factor. By combining clinical characteristics with the MPCDI, we constructed a nomogram that provides an accurate and reliable quantitative tool for personalized clinical management of LUAD patients. The findings obtained from the analysis of C-index and the decision curve revealed that the nomogram outperformed various clinical variables in terms of net clinical benefit. Encouragingly, the low-MPCDI patients are more sensitive to commonly used chemotherapy drugs, which suggests that MPCDI scores have a guiding role in chemotherapy for LUAD patients. Therefore, MPCDI can be used as a novel clinical diagnostic classifier, providing valuable insights into the clinical management and clinical decision-making for LUAD patients.

Factors associated with therapeutic non-adherence inrenal transplant patients: a bicentric study in Algeria

Medication non-adherence is a global concern, particularly in the context of renal transplantation, where it leads to graft failures, increased hospitalizations, diminished quality of life for patients, and higher healthcare costs. The aim of this study was to assess the level of therapeutic adherence among Algerian kidney transplant recipients and identify potential influencing factors. A descriptive, cross-sectional bicenter study was conducted among kidney transplant patients receiving outpatient care at two specialized medical centers in Algeria: the Urology Department of the Hospital Establishment for Urology, Nephrology, and Renal Transplantation in Constantine, and the Nephrology and Renal Transplantation Department of the University Hospital Center (CHU) in Blida, spanning from January to December 2022. Therapeutic adherence was assessed using the 8-item Morisky questionnaire, while the level of knowledge was analyzed through a 12-item questionnaire. Logistic regression was used to identify factors associated with non-adherence to therapy. This study included 130patients with an average age of 47years and a sex ratio of 1.7. The results revealed therapeutic non-adherence in 40.8% of the patients. Multivariate analysis identified several potentially associated factors, including residence, unemployment status, lack of affiliation with a health insurance fund, the use of a therapeutic regimen involving triple therapy, the occurrence of adverse effects, limited education level, and insufficient disease knowledge. Furthermore, non-adherence was associated with an increased risk of graft rejection. The findings of this study highlight concerning therapeutic adherence among kidney transplant recipients, emphasizing the crucial importance of therapeutic education to improve treatment adherence and underscoring the need to integrate these factors into clinical patient management.

Manejo terapéutico, adherencia y resultados clínicos de la insuficiencia cardiaca en Andalucía. Protocolo ANDALIC

Heart failure is a prevalent syndrome with high mortality rates, representing a significant economic burden in terms of healthcare. The lack of systematic information about the treatment and adherence of patients with heart failure limits the understanding of these aspects and potentially the improvement of clinical outcomes. ObjectiveTo describe the clinical characteristics, therapeutic management, adherence, persistence and clinical results, as well as the association between these variables, in a cohort of patients with heart failure in Andalusia. DesignThis study will be an observational, population-based, retrospective cohort study. Data of patients discharged from an Andalusian hospital with a diagnosis of heart failure between 2014 and 2023 will be extracted from the Andalusian population health database. AnalysisThe statistical analysis will incorporate the following strategies: 1) Descriptive analysis of the characteristics of the population cohort, adherence measures, and clinical outcomes. 2) Bivariate analyses to study the association of covariates with adherence, persistence and clinical results. 3) Multivariate logistic regression and Cox regression analysis including relevant covariates. 4) To evaluate changes over time, multivariate Poisson regression models will be used.By conducting this comprehensive study, we aim to gain valuable insights into the clinical characteristics, treatment management, and adherence of heart failure patients in Andalusia, as well as to identify factors that may influence clinical outcomes. These findings could be critical both for the development of optimized strategies that improve medical care and quality of life of patients and for mitigating the health burden of HF in the region.

Racial and ethnic disparities in clinical presentation, management, and outcomes of patients with inflammatory bowel disease: a narrative review.

Inflammatory bowel disease (IBD) is a chronic condition that has been increasing in prevalence and incidence worldwide. Although, most cases are described in Caucasian populations, there has been a rise in IBD diagnosis among other populations. In this article, we will discuss the disparities in the presentation, management, medical and surgical outcomes of IBD patients among different racial and ethnic groups. A literature search was conducted in PubMed, Medline, and Google Scholar. The search strategy included targeted keywords to identify specific studies that provided the current literature on disparities in IBD presentation and management. Articles for presentation were selected by the authors, in accordance with a narrative review format, favoring population-based studies, systematic reviews and meta-analysis over single or multicenter reports. Epidemiological data has shown that there is an increasing incidence in IBD diagnosis among Black, Asian, and Hispanic populations over the past decade. Differences in genetic predispositions have been observed, however it is difficult to ascertain if the minor differences in presentation and medical/surgical management reported are due to innate differences or due to confounding factors such as access to health care. Differences in genetic predisposition, and clinical presentation have been observed to exist among IBD non-Caucasian populations. There were also differences observed in both surgical and medical management, but it is difficult to ascertain if these were innate differences or due to societal factors.