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Diabetic Peripheral Arterial Disease versus Thromboangiitis Obliterans: A Multidimensional Comparison of Clinical Phenotype, Biomarkers, and Outcomes
Murat YÜCEL
,Hakan Çomaklı
,Muhammet Fethi Sağlam
,Kemal Eşref Erdoğan
,Nur Gizem Elipek
,Ömer Abdullah Yavuz
,Emrah Uğuz
Posted: 23 January 2026
Preoperative Prediction of Spread Through Air Spaces in Lung Cancer Using PET/CT Radiomics and Peritumoral Microenvironment Features
Damla SERÇE UNAT
,Nurşin AGÜLOĞLU
,Ömer Selim UNAT
,Ayşegül AKSU
,Bahar AĞAOĞLU
,Bahattin DULKADİR
,Özer ÖZDEMİR
,Nur YÜCEL
,Kenan Can CEYLAN
,Gülru POLAT
Posted: 23 January 2026
The Causes of Hypoxia in Localized Lower Respiratory Tract Infection
Michael Eisenhut
Posted: 23 January 2026
Retrospective Multicenter Analysis of Withdrawal Syndromes After Stimulator Cessation in Parkinson’s Disease Patients with Deep Brain Stimulation
Hatice Ömercikoğlu Özden
,Fatma Nazlı Durmaz Çelik
,Fatma Şeyda Üstüner
,Galip Yardımcı
,Orhan Abdullah Omar Tbh Bash
,Serhat Özkan
,Murat Vural
,Fatih Bayraklı
,Dilek Günal
Posted: 23 January 2026
Beyond Static Thresholds: Oscillatory Hemodynamic Instability as a Prodromal Marker for Intraoperative Hypotension using Explainable Machine Learning
Ahmad Nasr Harmouch
,Ibrahim Ibrahim Shuaibu
Background: Intraoperative hypotension (IOH) is strongly associated with postoperative myocardial injury, acute kidney injury, and mortality. Current monitoring relies on reactive threshold alarms, often alerting clinicians only after hemodynamic compromise has occurred. We hypothesized that a machine learning (ML) approach utilizing engineered hemodynamic volatility features could predict IOH five minutes before its occurrence. Methods: A retrospective observational study was conducted using high-resolution intraoperative monitoring data from the VitalDB registry. The cohort included 1,750 adult patients undergoing non-cardiac surgery. We developed and compared three ML algorithms Logistic Regression (LR), Random Forest (RF), and Extreme Gradient Boosting (XGBoost) trained on physiological features including arterial pressure trends and rolling volatility indices. Performance was evaluated using the Area Under the Receiver Operating Characteristic Curve (AUROC) for discrimination and the Brier Score for calibration. Results: All models demonstrated robust predictive capability. The Random Forest model achieved the highest discrimination (AUROC 0.837), outperforming LR (0.824) and XGBoost (0.803). However, XGBoost demonstrated superior calibration with a Brier Score of 0.0825 (vs. 0.153 for RF), indicating more reliable probabilistic risk estimates. Feature importance analysis consistently identified hemodynamic volatility (rolling standard deviation of MAP) as the dominant predictor across all models. At the optimal threshold, the system demonstrated a sensitivity of 69.5% and specificity of 75.3%. Conclusions: We identified a trade-off between discrimination and calibration: Random Forest offers the best ranking for early warning, while XGBoost provides the most accurate risk probability. Crucially, hemodynamic instability was identified as a critical prodromal marker, suggesting that oscillatory variance precedes hypotension.
Background: Intraoperative hypotension (IOH) is strongly associated with postoperative myocardial injury, acute kidney injury, and mortality. Current monitoring relies on reactive threshold alarms, often alerting clinicians only after hemodynamic compromise has occurred. We hypothesized that a machine learning (ML) approach utilizing engineered hemodynamic volatility features could predict IOH five minutes before its occurrence. Methods: A retrospective observational study was conducted using high-resolution intraoperative monitoring data from the VitalDB registry. The cohort included 1,750 adult patients undergoing non-cardiac surgery. We developed and compared three ML algorithms Logistic Regression (LR), Random Forest (RF), and Extreme Gradient Boosting (XGBoost) trained on physiological features including arterial pressure trends and rolling volatility indices. Performance was evaluated using the Area Under the Receiver Operating Characteristic Curve (AUROC) for discrimination and the Brier Score for calibration. Results: All models demonstrated robust predictive capability. The Random Forest model achieved the highest discrimination (AUROC 0.837), outperforming LR (0.824) and XGBoost (0.803). However, XGBoost demonstrated superior calibration with a Brier Score of 0.0825 (vs. 0.153 for RF), indicating more reliable probabilistic risk estimates. Feature importance analysis consistently identified hemodynamic volatility (rolling standard deviation of MAP) as the dominant predictor across all models. At the optimal threshold, the system demonstrated a sensitivity of 69.5% and specificity of 75.3%. Conclusions: We identified a trade-off between discrimination and calibration: Random Forest offers the best ranking for early warning, while XGBoost provides the most accurate risk probability. Crucially, hemodynamic instability was identified as a critical prodromal marker, suggesting that oscillatory variance precedes hypotension.
Posted: 23 January 2026
Nutritional Risk in Older Adults with Rheumatoid Arthritis: Sex-Specific Patterns and Clinical Implications of the Prognostic Nutritional Index
Joan M. Nolla
,Lidia Valencia-Muntalà
,Laura Berbel-Arcobé
,Diego Benavent
,Paola Vidal-Montal
,Pol Maymó-Paituví
,Montserrat Roig-Kim
,Martí Aguilar-Coll
,Javier Narváez
,Carmen Gómez-Vaquero
Posted: 23 January 2026
A Two-Track Model of Striatal Degeneration in Huntington’s Disease: Independent Contributions of Cytoskeletal Damage and Immune Dysregulation Consistent with an Immune-Exhaustion-Like Profile
H. Jeremy Bockholt
,Jordan D. Clemsen
,Vince D. Calhoun
,Jane S. Paulsen
Posted: 23 January 2026
An Open-Source Retrospective Analysis of Hypertrophic and Dilated Cardiomyopathy Using Machine Learning and Electrocardiogram Data
Arda Altintepe
,Asu Rustemli
Posted: 23 January 2026
Natural Extracts in Skin Repair and Wound Healing: Molecular Mechanisms and Pharmaceutical Perspectives
NIKI TERTIPI
,Vasiliki Sofia Grech
,Eleni Sfyri
,Eleni Andreou
,Vasiliki Kefala
,Efstathios Rallis
Posted: 23 January 2026
Reflexology: Historical Evolution of a Therapy Derived from Modern Medical Practice
Mabel Alejandra Dávila
Posted: 23 January 2026
Pancreatic Cancer: Risk Factors, Diagnosis and Minimally Invasive Surgical Approach-A Comprehensive Review
Elena-Mihaela Vrabie
,Mihai-Adrian Eftimie
,Irina Balescu
,Vladislav Brasoveanu
,Nicolae Bacalbasa
Posted: 23 January 2026
Comparative Characterization of Leukocyte-Rich Platelet-Rich Plasma (L-PRP) and Injectable Platelet-Rich Fibrin (i-PRF): A Laboratory Study
André Kruel
,Mariângela Ferreira
,Daiane Agostini
,Cristiano Diesel
,Marcelo Queiroz
,Carlos Galia
,Guilherme Silva
,Stephany Huber
,Fernanda Majolo
Posted: 23 January 2026
The Evolving Landscape of Anti-Clonal Therapy in Newly Diagnosed Systemic Light-Chain (AL) Amyloidosis: Evidence and Time-Based Comparative Glimpse with Multiple Myeloma
Rafael Ríos-Tamayo
Posted: 23 January 2026
Preoperative Nutrition-Based Interventions in Children Undergoing Cardiac Surgeries – A Systematic Review and Meta-Analysis
Agata Stróżyk
,Piotr Halicki
,Maciej Kołodziej
,Andrea Horvath
,Michał Buczyński
,Radosław Pietrzak
Posted: 23 January 2026
Do SGLT2 Inhibitors Have a Place in the Oncology Toolbox?
Homayra Rahman Shoshi
,Badar Uddin Umar
,Tanbira Alam
,Md Ziaul Haque
,S M Niazur Rahman
Posted: 23 January 2026
Efficacy and Safety of Hepatic Arterial Infusion Chemotherapy (HAIC) Versus Systemic Therapy in Unresectable Intrahepatic Cholangiocarcinoma: A Systematic Review and Meta-Analysis
Fatemeh Amini
Posted: 23 January 2026
Concurrent Chemoradiotherapy with Daily Low-Dose Carboplatin in Older Patients with Unresectable Locally Advanced Non-Small Cell Lung Cancer: Clinical Outcomes and Prognostic Significance of Systemic Inflammation Markers
Yu Miura
,Hisao Imai
,Satoshi Endo
,Kosuke Hashimoto
,Ou Yamaguchi
,Atsuto Mouri
,Ken Masubuchi
,Takeshi Masubuchi
,Yuka Fujita
,Shingo Kato
+2 authors
Posted: 23 January 2026
Epicardial Adipose Tissue as a Cardiometabolic Target in Atrial Fibrillation: Implications for Ablation Strategies and Emerging Metabolic Therapies
Fulvio Cacciapuoti
Posted: 23 January 2026
Feasibility and Utility of Recumbent Ergometer-Based Cardiopulmonary Exercise Test in Phase 1 Cardiac Rehabilitation Following Cardiac Surgery
Yeon Mi Kim
,Bo Ryun Kim
,Ho Sung Son
,Sung Bom Pyun
,Jae Seung Jung
,Hee Jung Kim
Introduction: Recent guidelines have emphasized the importance of early mobilization and rehabilitation of patients following cardiac surgery. However, studies on the optimal targets and prescription methods for phase I cardiac rehabilitation (CR) are lacking.Purpose: This study aimed to evaluate the feasibility and utility of an early phase 1 submaximal cardiopulmonary exercise test (CPET) using a recumbent ergometer in patients who have undergone cardiac surgery. Methods: Twenty ambulatory patients who underwent cardiac surgery between December 2021 and February 2023 were referred to the CR department on the fifth postoperative day, and a CR program was initiated. The program was conducted five times a week, with hour-long sessions consisting of warm-up exercises, resistance training, aerobic exercises, and a cool-down period. A recumbent ergometer-based submaximal CPET was performed approximately nine days after the surgery, prior to discharge. Participants initiated the test at 0 W, and the workload was increased by 20 W after 2 minutes. During the test, researchers evaluated parameters including estimated peak values of oxygen consumption (VO2), metabolic equivalents of task, respiratory exchange ratio (RER), blood pressure, heart rate (HR), and rating of perceived exertion (RPE). The grip strength test, 6-minute walk test (6MWT), Korean Activity Scale/Index (KASI), EuroQol-5 dimension (EQ-5D), and short-form 36-item health survey (SF-36) values were also measured prior to discharge. Results: Twenty patients (75% male, average age 62.50 ± 1.99 years) underwent CPET at a median of 9.0 (8.0; 12.5) days postoperative. The average exercise duration of the CPET was 411.75 ± 168.25 seconds. During the test, their estimated peak VO2 was 12.32 ± 0.75 ml/kg/min (corresponding to 46.65 ± 2.08% of VO2 max). The estimated peak RER was 1.01 (0.98–1.12), and the estimated peak RPE was 15.00 ± 0.51. Furthermore, the estimated peak HR was 111.8 ± 3.76 beats/min (equivalent to 70.95 ± 2.09% of age-predicted maximal HR). After adjustment for age and sex, significant positive correlations were observed between the estimated peak VO2 and 6MWT, squat endurance test, KASI, EQ-5D, and the physical component summary (PCS) of the SF-36 questionnaire. The 6MWT, squat endurance test, KASI, and PCS of SF-36 showed a correlation coefficient (r) of 0.522 (p=0.026), 0.628 (p=0.005), 0.586 (p=0.011), and 0.546 (p=0.019), respectively. No significant cardiac events, such as ST elevation/depression or hemodynamic instability, were observed during the test.Conclusion: Our findings suggest that performing recumbent ergometer-based CPET during early phase 1 CR is safe and feasible. These results highlight the potential of recumbent ergometer-based CPET as a valuable tool for guiding the appropriate prescription of early CR programs following hospital discharge in patients undergoing cardiac surgery.
Introduction: Recent guidelines have emphasized the importance of early mobilization and rehabilitation of patients following cardiac surgery. However, studies on the optimal targets and prescription methods for phase I cardiac rehabilitation (CR) are lacking.Purpose: This study aimed to evaluate the feasibility and utility of an early phase 1 submaximal cardiopulmonary exercise test (CPET) using a recumbent ergometer in patients who have undergone cardiac surgery. Methods: Twenty ambulatory patients who underwent cardiac surgery between December 2021 and February 2023 were referred to the CR department on the fifth postoperative day, and a CR program was initiated. The program was conducted five times a week, with hour-long sessions consisting of warm-up exercises, resistance training, aerobic exercises, and a cool-down period. A recumbent ergometer-based submaximal CPET was performed approximately nine days after the surgery, prior to discharge. Participants initiated the test at 0 W, and the workload was increased by 20 W after 2 minutes. During the test, researchers evaluated parameters including estimated peak values of oxygen consumption (VO2), metabolic equivalents of task, respiratory exchange ratio (RER), blood pressure, heart rate (HR), and rating of perceived exertion (RPE). The grip strength test, 6-minute walk test (6MWT), Korean Activity Scale/Index (KASI), EuroQol-5 dimension (EQ-5D), and short-form 36-item health survey (SF-36) values were also measured prior to discharge. Results: Twenty patients (75% male, average age 62.50 ± 1.99 years) underwent CPET at a median of 9.0 (8.0; 12.5) days postoperative. The average exercise duration of the CPET was 411.75 ± 168.25 seconds. During the test, their estimated peak VO2 was 12.32 ± 0.75 ml/kg/min (corresponding to 46.65 ± 2.08% of VO2 max). The estimated peak RER was 1.01 (0.98–1.12), and the estimated peak RPE was 15.00 ± 0.51. Furthermore, the estimated peak HR was 111.8 ± 3.76 beats/min (equivalent to 70.95 ± 2.09% of age-predicted maximal HR). After adjustment for age and sex, significant positive correlations were observed between the estimated peak VO2 and 6MWT, squat endurance test, KASI, EQ-5D, and the physical component summary (PCS) of the SF-36 questionnaire. The 6MWT, squat endurance test, KASI, and PCS of SF-36 showed a correlation coefficient (r) of 0.522 (p=0.026), 0.628 (p=0.005), 0.586 (p=0.011), and 0.546 (p=0.019), respectively. No significant cardiac events, such as ST elevation/depression or hemodynamic instability, were observed during the test.Conclusion: Our findings suggest that performing recumbent ergometer-based CPET during early phase 1 CR is safe and feasible. These results highlight the potential of recumbent ergometer-based CPET as a valuable tool for guiding the appropriate prescription of early CR programs following hospital discharge in patients undergoing cardiac surgery.
Posted: 22 January 2026
Cytostatic and Pro-Apoptotic Effects of Justicia spicigera Schltdl. on LNCaP Prostate Cancer Cells: Role of G0/G1 Cell Cycle Arrest and Phytochemical Characterization
Ivette Bravo-Espinoza
,Fabiola Hernández-Rosas
,María Elena Hernández-Aguilar
,Marycarmen Godínez-Victoria
,Rodrigo Rafael Ramos-Hernández
,Carlos Alberto López-Rosas
,Santiago González-Periañez
,Ezri Cruz-Pérez
,Fernando Rafael Ramos-Morales
,Tushar Janardan Pawar
Posted: 22 January 2026
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