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The Effect of Cardiometabolic Drugs on Non-Alcoholic Fatty Liver Disease (NAFLD), Metabolic Dysfunction-Associated Fatty Liver Disease (MAFLD), and Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD)
Marios Zisis,
Maria Eleni Chondrogianni,
Theodoros Androutsakos,
Ilias Rantos,
Evangelos Oikonomou,
Antonios Chatzigeorgiou,
Eva Kassi
Posted: 30 December 2024
Analyzing the Transitional Zone of Peri-Implant Soft Tissue in Subcrestally Placed Implants: A 3D CBCT-Based Model for Esthetics and Biological Stability in Molar Cases
Chiyun Won
Posted: 30 December 2024
Real-World Setting of Efficacy and Safety of 3 Years of Rifaximin Administration in Japanese Patients with Hepatic Encephalopathy: A Multicenter Retrospective Study
Hideto Kawaratani,
Tadashi Namisaki,
Yasuteru Kondo,
Ryoji Tatsumi,
Naoto Kawabe,
Norikazu Tanabe,
Akira Sakamaki,
Kyoko Hoshikawa,
Yoshihito Uchida,
Kei Endo
Background/Objectives: Rifaximin is commonly used for patients with hepatic encephalopathy (HE); however, there is little data on the effects of its long-term (>1 year) administration in Jap-anese patients with cirrhosis. Therefore, we examined the effects and safety of three-year rifaxi-min treatment on HE in Japan. Methods: A total of 190 patients with cirrhosis who were contin-uously administered rifaximin for more than one year developed overt or covert HE, which was diagnosed by a physician. Laboratory data were collected at baseline, 3, 6, 12, 18, 24, 30, and 36 months following rifaximin administration. We examined the cumulative OHE incidences, overall survival rates, and hepatic functional reserves following rifaximin treatment. The occur-rence of adverse events was also assessed. Results: Ammonia levels improved significantly after 3 months of rifaximin administration, which continued for three years. Serum albumin and pro-thrombin activity also significantly improved after three years of rifaximin administration. Cumulative overt HE incidences were 12.1%, 19.7%, and 24.9% at 1, 2, and 3 years, respectively. The survival rates following rifaximin treatment were 100%, 88.9%, and 77.8% at 1, 2, and 3 years, respectively. In contrast, renal function and electrolytes did not change following rifaximin ad-ministration. Only three (1.6%) patients discontinued RFX therapy because of severe diarrhea after a year of RFX administration. No other serious adverse events were observed. Conclusion: Long-term rifaximin treatment (three years) is effective and safe for patients with HE and im-proves the hepatic function reserve and overall survival.
Background/Objectives: Rifaximin is commonly used for patients with hepatic encephalopathy (HE); however, there is little data on the effects of its long-term (>1 year) administration in Jap-anese patients with cirrhosis. Therefore, we examined the effects and safety of three-year rifaxi-min treatment on HE in Japan. Methods: A total of 190 patients with cirrhosis who were contin-uously administered rifaximin for more than one year developed overt or covert HE, which was diagnosed by a physician. Laboratory data were collected at baseline, 3, 6, 12, 18, 24, 30, and 36 months following rifaximin administration. We examined the cumulative OHE incidences, overall survival rates, and hepatic functional reserves following rifaximin treatment. The occur-rence of adverse events was also assessed. Results: Ammonia levels improved significantly after 3 months of rifaximin administration, which continued for three years. Serum albumin and pro-thrombin activity also significantly improved after three years of rifaximin administration. Cumulative overt HE incidences were 12.1%, 19.7%, and 24.9% at 1, 2, and 3 years, respectively. The survival rates following rifaximin treatment were 100%, 88.9%, and 77.8% at 1, 2, and 3 years, respectively. In contrast, renal function and electrolytes did not change following rifaximin ad-ministration. Only three (1.6%) patients discontinued RFX therapy because of severe diarrhea after a year of RFX administration. No other serious adverse events were observed. Conclusion: Long-term rifaximin treatment (three years) is effective and safe for patients with HE and im-proves the hepatic function reserve and overall survival.
Posted: 30 December 2024
Supra-Normal Ejection Fraction at Hospital Admission Stratifies Mortality Risk in HFpEF Patients Aged ≥70 Years
Andrea Sonaglioni,
Chiara Lonati,
Valentina Scime’,
Gian Luigi Nicolosi,
Antonino Bruno,
Michele Lombardo,
Sergio Harari
Posted: 30 December 2024
Transfer Learning and Neural Network-Based Approach on Structural MRI Data for Prediction and Classification of Alzheimer’s Disease
Farideh Momeni,
Daryoush Shahbazi-Gahrouei,
Tahereh Mahmoudi,
Alireza Mehdizadeh
Alzheimer's disease (AD) is a neurodegenerative condition that has no definitive treatment and its early diagnosis can help to prevent or slow down its progress. Neuroimaging in particular, structural magnetic resonance imaging (sMRI) and the progress of artificial intelligence (AI) have significant attention in AD detection. In this study, 398 participants were used from the ADNI and OASIS global database of sMRI including 98 individuals with AD, 102 with early mild cognitive impairment (EMCI), 98 with late mild cognitive impairment (LMCI), and 100 normal controls (NC). The proposed model achieved high area under the curve (AUC) values and an accuracy of 99.7%, which is very remarkable for all four classes: NC vs. AD: AUC = [0.985], EMCI vs. NC: AUC = [0.961], LMCI vs. NC: AUC = [0.951], LMCI vs. AD: AUC = [0.989], and EMCI vs. LMCI: AUC = [1.000]. The results reveal that this model incorporates DenseNet169, transfer learning, and class decomposition to classify AD stages, particularly in differentiating EMCI from LMCI. Overall, this model performs well with high accuracy and area under the curve for AD diagnostics at early stages.
Alzheimer's disease (AD) is a neurodegenerative condition that has no definitive treatment and its early diagnosis can help to prevent or slow down its progress. Neuroimaging in particular, structural magnetic resonance imaging (sMRI) and the progress of artificial intelligence (AI) have significant attention in AD detection. In this study, 398 participants were used from the ADNI and OASIS global database of sMRI including 98 individuals with AD, 102 with early mild cognitive impairment (EMCI), 98 with late mild cognitive impairment (LMCI), and 100 normal controls (NC). The proposed model achieved high area under the curve (AUC) values and an accuracy of 99.7%, which is very remarkable for all four classes: NC vs. AD: AUC = [0.985], EMCI vs. NC: AUC = [0.961], LMCI vs. NC: AUC = [0.951], LMCI vs. AD: AUC = [0.989], and EMCI vs. LMCI: AUC = [1.000]. The results reveal that this model incorporates DenseNet169, transfer learning, and class decomposition to classify AD stages, particularly in differentiating EMCI from LMCI. Overall, this model performs well with high accuracy and area under the curve for AD diagnostics at early stages.
Posted: 30 December 2024
Data-driven Understanding On Cancer Lineage Plasticity: Examples and Chances
Longjin Zeng
Posted: 30 December 2024
Predicting the Metastatic Potential of Papillary Thyroid Microcarcinoma Based on the Molecular Profile of Preoperative Cytology Specimens
Sergei A. Lukyanov,
Sergei E. Titov,
Aria V. Dzodzaeva,
Vladimir Vanushko,
Dmitry Beltsevich,
Yulia Veryaskina,
Semyon Kupriyanov,
Ekaterina Bondarenko,
Ekaterina Troshina,
Liliya Urusova
Objective. The strategy of active surveillance for papillary thyroid microcarcinoma (PTMC) is currently becoming more popular in the global medical community. The pivotal criterion for choosing the active surveillance strategy is the absence of any signs of lymphogenic or distant metastases. In the present work, we assessed the diagnostic accuracy of molecular genetic markers in predicting the metastatic potential in patients with PTMC. Methods. The expression level of 33 molecular genetic markers in cytology samples from 92 patients with PTMC with the known histological diagnosis, including 32 with metastases to regional cervical lymph nodes, was assessed. The list included 22 genes and 11 microRNAs. The presence of the somatic BRAF V600E mutation was investigated separately. Results. In patients with metastatic PTMC, the HMGA2 gene, the TIMP1 gene, and the FN1 gene were more active, and microRNA-146b expression was upregulated. Downregulated expression of microRNA-7 and -148b was also detected in metastatic tumors, which is indicative of their tumor suppressor role. Metastatic tumors were characterized by on average 11-fold lower activity of DIO1, eightfold lower expression of the TFF3 gene, fourfold lower expression of TPO. All the markers, except for BRAF mutation, have high sensitivity (84.5–90.6%) for detecting metastatic PTMC but low specificity (~ 50%). Conclusions. Application of molecular markers for predicting lymphogenic metastatic spread in patients with PTMC can possibly supplement the existing risk grading systems. These studies are relatively simple to conduct and available as early as at the preoperative stage.
Objective. The strategy of active surveillance for papillary thyroid microcarcinoma (PTMC) is currently becoming more popular in the global medical community. The pivotal criterion for choosing the active surveillance strategy is the absence of any signs of lymphogenic or distant metastases. In the present work, we assessed the diagnostic accuracy of molecular genetic markers in predicting the metastatic potential in patients with PTMC. Methods. The expression level of 33 molecular genetic markers in cytology samples from 92 patients with PTMC with the known histological diagnosis, including 32 with metastases to regional cervical lymph nodes, was assessed. The list included 22 genes and 11 microRNAs. The presence of the somatic BRAF V600E mutation was investigated separately. Results. In patients with metastatic PTMC, the HMGA2 gene, the TIMP1 gene, and the FN1 gene were more active, and microRNA-146b expression was upregulated. Downregulated expression of microRNA-7 and -148b was also detected in metastatic tumors, which is indicative of their tumor suppressor role. Metastatic tumors were characterized by on average 11-fold lower activity of DIO1, eightfold lower expression of the TFF3 gene, fourfold lower expression of TPO. All the markers, except for BRAF mutation, have high sensitivity (84.5–90.6%) for detecting metastatic PTMC but low specificity (~ 50%). Conclusions. Application of molecular markers for predicting lymphogenic metastatic spread in patients with PTMC can possibly supplement the existing risk grading systems. These studies are relatively simple to conduct and available as early as at the preoperative stage.
Posted: 30 December 2024
Comparative Analysis of Primary and Revision Single-Level Lumbar Fusion Surgeries: Predictors, Outcomes, and Clinical Implications Using Big Data
Assil Mahamid,
Fairouz Jayyusi,
Marah Hodruj,
Amr Mansour,
Dan Fishman,
Eyal Behrbalk
Introduction: The etiology of lumbar spine revision surgery is multifactorial, involving mechanical, biological, and clinical factors that challenge sustained spinal stability. Comparative analysis reveals significantly higher complication rates, prolonged hospital stays, and increased costs for revision surgeries compared to primary fusions despite low mortality rates. Leveraging a comprehensive dataset of 456,750 patients, this study identifies predictors of revision surgery and provides actionable insights to enhance patient outcomes and optimize healthcare resource allocation. Methods: A total of 456,750 patients registered in the National Inpatient Sample (NIS) database from 2016 to 2019 were identified as having undergone single-level lumbar fusion surgery (primary fusion: 99.5%; revision fusion: 0.5%). Multivariable logistic regression models adjusted for patient demographics, clinical comorbidities, and hospital characteristics were constructed to evaluate clinical outcomes and postoperative complications. Results: Patients undergoing revision lumbar fusion surgery were significantly younger compared to those experiencing primary fusion procedures (53.92 ± 20.65 vs. 61.87 ± 12.32 years, P < 0.001); among the entire cohort, 56.4% were women. Compared with patients undergoing primary lumbar fusion, those undergoing revision fusion surgery were significantly more likely to experience surgical site infections (odds ratio [OR] 27.10; 95% confidence interval [95% CI] 17.12–42.90; P < 0.001), urinary tract infections (OR 2.15; 95% CI 1.39–3.33; P < 0.001), and prolonged length of stay (OR 1.53; 95% CI 1.24–1.89; P < 0.001). Revision surgery patients had significantly lower odds of incurring high-end hospital charges (OR 0.65; 95% CI 0.51–0.83; P < 0.001). Other complications, including respiratory complications, dural tears, thromboembolic events, and acute renal failure, showed no statistically significant differences between the two groups. In-hospital mortality rates were low and did not differ significantly between groups (revision: 0.2% vs. primary: 0.1%, OR 3.29; 95% CI 0.45–23.84; P = 0.23). Conclusions: Patients undergoing revision lumbar fusion surgeries face significantly higher risks of surgical site infections, urinary tract infections, and prolonged hospital stays compared to primary fusion procedures. These findings highlight the need for targeted interventions to improve perioperative management and reduce complications in revision lumbar fusion surgery.
Introduction: The etiology of lumbar spine revision surgery is multifactorial, involving mechanical, biological, and clinical factors that challenge sustained spinal stability. Comparative analysis reveals significantly higher complication rates, prolonged hospital stays, and increased costs for revision surgeries compared to primary fusions despite low mortality rates. Leveraging a comprehensive dataset of 456,750 patients, this study identifies predictors of revision surgery and provides actionable insights to enhance patient outcomes and optimize healthcare resource allocation. Methods: A total of 456,750 patients registered in the National Inpatient Sample (NIS) database from 2016 to 2019 were identified as having undergone single-level lumbar fusion surgery (primary fusion: 99.5%; revision fusion: 0.5%). Multivariable logistic regression models adjusted for patient demographics, clinical comorbidities, and hospital characteristics were constructed to evaluate clinical outcomes and postoperative complications. Results: Patients undergoing revision lumbar fusion surgery were significantly younger compared to those experiencing primary fusion procedures (53.92 ± 20.65 vs. 61.87 ± 12.32 years, P < 0.001); among the entire cohort, 56.4% were women. Compared with patients undergoing primary lumbar fusion, those undergoing revision fusion surgery were significantly more likely to experience surgical site infections (odds ratio [OR] 27.10; 95% confidence interval [95% CI] 17.12–42.90; P < 0.001), urinary tract infections (OR 2.15; 95% CI 1.39–3.33; P < 0.001), and prolonged length of stay (OR 1.53; 95% CI 1.24–1.89; P < 0.001). Revision surgery patients had significantly lower odds of incurring high-end hospital charges (OR 0.65; 95% CI 0.51–0.83; P < 0.001). Other complications, including respiratory complications, dural tears, thromboembolic events, and acute renal failure, showed no statistically significant differences between the two groups. In-hospital mortality rates were low and did not differ significantly between groups (revision: 0.2% vs. primary: 0.1%, OR 3.29; 95% CI 0.45–23.84; P = 0.23). Conclusions: Patients undergoing revision lumbar fusion surgeries face significantly higher risks of surgical site infections, urinary tract infections, and prolonged hospital stays compared to primary fusion procedures. These findings highlight the need for targeted interventions to improve perioperative management and reduce complications in revision lumbar fusion surgery.
Posted: 30 December 2024
Evaluation of GDF15 Significance as a Biomarker in Laryngeal Squamous Cell Carcinoma
Aleksandra Romanowicz,
Oskar Komisarek,
Anna Klimaszewska-Wiśniewska,
Paulina Antosik,
Kacper Naglik,
Joanna Czech,
Witold Wrzesiński,
Marta Kodzik,
Dariusz Grzanka,
Paweł Burduk
Posted: 30 December 2024
Are Mitochondria a Target for Treating β-Thalassemia?
Elena Di Pierro,
Valeria Di Stefano,
Margherita Migone De Amicis,
Giovanna Graziadei
Posted: 30 December 2024
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