Review
Computer Science, Information Systems
Xuan Song, Xinyan Liu, Fei Liu, Chunting Wang
Summary: The study found that machine learning models perform similarly to logistic regression models in predicting acute kidney injury (AKI), but some machine learning models show exceptional performance, with gradient boosting models performing the best.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2021)
Article
Medicine, General & Internal
Ganggang Wang, Xiaowei Shen, Yicun Wang, Huanhua Lu, Hua He, Xiaoliang Wang
Summary: This study provides guidance for the prevention and diagnosis of nonalcoholic fatty liver disease (NAFLD) by analyzing its risk factors and diagnostic value of each index. The results showed that age, BMI, SBP, ALT, AST, FBG, TBIL, TG, and LDL were risk factors for NAFLD in adults, while HDL was a protective factor. Age, BMI, ALT, TG, and HDL had predictive value for NAFLD occurrence, and the combination of these factors had diagnostic value. In conclusion, managing BMI, blood pressure, blood glucose, and lipid levels while monitoring ALT and AST levels is important for NAFLD prevention, and age, BMI, ALT, TG, and HDL are helpful in the diagnosis of NAFLD.
FRONTIERS IN MEDICINE
(2023)
Article
Surgery
Michael C. Madigan, Anthony J. Lewis, Nathan L. Liang, Robert Handzel, Eric Hager, Michel S. Makaroun, Rabih A. Chaer, Mohammad H. Eslami
Summary: Nonoperative management of low-grade blunt traumatic aortic injury does not result in long-term complications or the need for reintervention. Select grade 3 injuries with smaller pseudoaneurysms and minimal periaortic hematoma can be safely observed.
JOURNAL OF VASCULAR SURGERY
(2022)
Article
Anesthesiology
Liting Kuang, Weibin Lin, Bin Chen, Dahui Wang, Qingliang Zeng
Summary: This is a retrospective case-control study aiming to investigate the impact of low central venous pressure (LCVP) technique on acute kidney injury (AKI) in hepatectomy. The study found that intraoperative parameters can be used to predict the probability of postoperative AKI, but LCVP time was not confirmed as a risk factor for AKI.
JOURNAL OF CLINICAL ANESTHESIA
(2023)
Article
Multidisciplinary Sciences
Jialin Liu, Jinfa Wu, Siru Liu, Mengdie Li, Kunchang Hu, Ke Li
Summary: The study aimed to construct a mortality prediction model using the XGBoot decision tree model for AKI patients in the ICU and compared its performance with three other machine learning models. Results showed that the XGBoot model outperformed the other models, providing implications for risk identification and early intervention for AKI patients.
Article
Medicine, General & Internal
Qian Li, Hong Lv, Yuye Chen, Jingjia Shen, Jia Shi, Chenghui Zhou
Summary: The aim of this study was to develop and validate a predictive machine learning model for cardiac surgery associated with acute kidney injury (CSA-AKI). Data from a multicenter randomized control trial and a MIMIC-IV dataset were used for model development and validation. The CatBoostClassifier algorithm outperformed other models in predicting CSA-AKI, and the preoperative level of NT-proBNP was found to be strongly associated with CSA-AKI.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Mathematics
Lu Liu, Junheng Gao, Georgia Beasley, Sin-Ho Jung
Summary: This paper discusses the standard approach of using machine learning methods to select features and build prediction models, and the issues with popular methods like LASSO and elastic net. The paper proposes a combination of standard regression methods and stepwise variable selection to overcome these issues and highlights the advantages of this method in terms of statistical significance and prediction accuracy compared to LASSO and elastic net.
Article
Medicine, General & Internal
Hanlim Choi, Jin Young Lee, Younghoon Sul, Seheon Kim, Jin Bong Ye, Jin Suk Lee, Suyoung Yoon, Junepill Seok, Jonghee Han, Jung Hee Choi, Hong Rye Kim
Summary: Acute kidney injury (AKI) is common and associated with poor outcomes in trauma patients. Early prediction of AKI is important for risk stratification and optimal treatment. This study compared machine learning techniques and logistic regression in predicting AKI in trauma patients, and found that the ML model performed better.
Article
Green & Sustainable Science & Technology
Uttam Paudel, Shiva Raj Adhikari, Krishna Prasad Pant
Summary: Environmental conditions in western Nepal are threatened by decreased productivity and increased health risks, which pose a possible threat to economic losses and sustainability. This research evaluates the local community's maximum willingness to pay for environmental quality improvement programs and identifies the socio-economic and behavioral factors that influence this willingness. The findings provide guidance for cost-sharing strategies among the community, government, and stakeholders in implementing environmental quality improvement programs.
Article
Oncology
Yu-Hui Ma, Jie Zhang, Wei-Qiang Yan, Jiang-Tao Lan, Xiu-Long Feng, Shu-Mei Wang, Guang Yang, Yu-Chuan Hu, Guang-Bin Cui
Summary: This study aimed to investigate the characteristics and risk factors for major mediastinal vessel invasion in different risk grades of thymic epithelial tumors (TETs) based on computed tomography (CT) imaging, and to develop prediction models. The results showed that several CT features can be used as independent predictors of >= 50% artery or venous invasion, and a multivariate logistic regression model based on CT features is helpful in predicting the vascular invasion grades in patients with TET.
FRONTIERS IN ONCOLOGY
(2023)
Article
Engineering, Environmental
Nafsika Antoniadou, Hjalte Jomo Danielsen Sorup, Jonas Wied Pedersen, Ida Buelow Gregersen, Torben Schmith, Karsten Arnbjerg-Nielsen
Summary: Extreme precipitation events can have severe negative consequences for society, the economy, and the environment, so it is important to understand when and why they occur. This study compares the performance of logistic regression and three commonly used supervised machine learning algorithms in determining whether extreme events occur locally. The results show that logistic regression performs similarly to more complex machine learning algorithms, highlighting the value of comparing different modeling approaches.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Article
Clinical Neurology
Ming Zhang, Wei Han, Yuhao Xu, Dapeng Li, Qun Xue
Summary: The study found that miR-128 was significantly upregulated in serum samples of AD patients and negatively correlated with MMSE scores. MiR-128 showed good diagnostic performance when used alone or in combination with other factors. Serum miR-128 levels were positively correlated with inflammatory factors IL-113 and TNF-alpha levels.
NEUROPSYCHIATRIC DISEASE AND TREATMENT
(2021)
Article
Clinical Neurology
Tianyuan Zhang, Yong Qiu, Zezhang Zhu, Yang Yu, Bin Wang, Jun Jiang
Summary: The study revealed that patients with left thoracic scoliosis exhibit changes in the position of the thoracic aorta, increasing the risk of injury from right pedicle screw insertion. In contrast, the thoracic aorta in normal subjects is usually located anteriorly to the left pedicle screw trajectory.
WORLD NEUROSURGERY
(2021)
Article
Economics
Michaela Stankova
Summary: This article examines the classification capability of logistic regression models in bankruptcy prediction within two manufacturing sectors. It suggests that using a standard threshold leads to high classification error for bankrupt companies and proposes using empirically estimated ROC curves to find a suitable threshold.
COMPUTATIONAL ECONOMICS
(2023)
Article
Chemistry, Multidisciplinary
Jae-Yeong Lee, Ji-Sung Kim
Summary: This study presents a method for determining flood vulnerable areas using hydrological-topographic characteristics, establishing a model for calculating the flood vulnerability of the study area through data analysis. The model can be used to efficiently select target sites for flood prevention facilities and pre-detect areas vulnerable to flooding using real-time rainfall forecasting.
APPLIED SCIENCES-BASEL
(2021)
Article
Cardiac & Cardiovascular Systems
Augusto D'Onofrio, Chiara Tessari, Giorgia Cibin, Giulia Lorenzoni, Gian Luca Martinelli, Marco Solinas, Gino Gerosa, Dario Gregori, Francesco Alamanni, Gianluca Polvani, Massimo Massetti, Marco Di Eusanio, Maurizio Merlo, Igor Vendramin, Domenico Mangino, Carmelo Mignosa, Claudio Russo, Mauro Rinaldi, Ruggero De Paulis, Davide Pacini, Giampaolo Luzi, Carlo Antona, Loris Salvador, Francesco Musumeci, Daniele Maselli, Andrea Colli, Michele Portoghese, Ottavio Alfieri, Carlo Maria De Filippo
SEMINARS IN THORACIC AND CARDIOVASCULAR SURGERY
(2022)
Editorial Material
Cardiac & Cardiovascular Systems
Luca Di Marco, Ciro Amodio, Carlo Mariani, Antonino Costantino, Davide Pacini
Summary: This article presents a rare congenital anomaly of the aortic arch and describes a surgical treatment using the frozen elephant trunk technique, which resulted in successful reconstruction of the aortic arch.
ANNALS OF THORACIC SURGERY
(2022)
Article
Cardiac & Cardiovascular Systems
Matteo Bellettini, Simone Frea, Stefano Pidello, Massimo Boffini, Paolo Boretto, Guglielmo Gallone, Federica Bongiovanni, Marco Masetti, Mario Sabatino, Claudia Raineri, Davide Pacini, Sofia Martin Suarez, Antonio Loforte, Mauro Rinaldi, Luciano Potena, Gaetano M. De Ferrari
Summary: This study found that preoperative right ventricular dysfunction is associated with post-heart transplantation mortality and morbidity. This effect is particularly significant for patients with normal estimated pulmonary vascular resistance status.
JOURNAL OF CARDIAC FAILURE
(2022)
Article
Surgery
Cassra N. Arbabi, Joseph DuBose, Kristofer Charlton-Ouw, Benjamin W. Starnes, Naveed Saqib, Elina Quiroga, Charles Miller, Ali Azizzadeh
Summary: This study aimed to determine the outcomes of medical management for blunt thoracic aortic injury (BTAI). The results showed that definitive medical management is safe and effective for patients with minimal aortic injury, with low intervention rate and no aortic-related deaths.
JOURNAL OF VASCULAR SURGERY
(2022)
Article
Cardiac & Cardiovascular Systems
Luca Di Marco, Marianna Berardi, Giacomo Murana, Alessandro Leone, Luca Botta, Ciro Amodio, Maria Letizia Bacchi Reggiani, Roberto Di Bartolomeo, Davide Pacini
Summary: This study reported early outcomes of using selective antegrade cerebral perfusion in aortic arch surgery. The incidence of postoperative permanent neurological dysfunction was 6.4%, with an overall hospital mortality rate of 11.9%. Factors such as age >75 years, female gender, euroscore increment, chronic renal failure, extent of aortic replacement, and CPB time were independent risk factors for hospital mortality.
ASIAN CARDIOVASCULAR & THORACIC ANNALS
(2022)
Article
Cardiac & Cardiovascular Systems
Thomas E. MacGillivray, Thomas G. Gleason, Himanshu J. Patel, Gabriel S. Aldea, Joseph E. Bavaria, Thomas M. Beaver, Edward P. Chen, Martin Czerny, Anthony L. Estrera, Scott Firestone, Michael P. Fischbein, G. Chad Hughes, Dawn S. Hui, Kalie Kissoon, Jennifer S. Lawton, Davide Pacini, T. Brett Reece, Eric E. Roselli, John Stulak
Summary: In summary, recommendations for managing patients with TBAD are continuously evolving and accumulating as new information and evidence emerge. The STS/AATS writing group has conducted a comprehensive review and provided evidence-based treatment recommendations. However, expert consensus is needed in areas where clinical trials are lacking to guide patient management.
ANNALS OF THORACIC SURGERY
(2022)
Article
Immunology
Gregorio Gliozzi, Antonio Loforte, Carlo Mariani, Giulio Giovanni Cavalli, Luca Botta, Valeria Santamaria, Sara Tassi, Sofia Martin-Suarez, Luciano Potena, Davide Pacini
Summary: This study investigated the impact of predicted heart mass-based size matching on heart transplant outcomes. The results showed that the donor-recipient pHM ratio did not affect early graft failure and early mortality.
TRANSPLANTATION PROCEEDINGS
(2022)
Editorial Material
Cardiac & Cardiovascular Systems
Antonio Loforte, Giuseppe Comentale, Gregorio Gliozzi, Giulio Giovanni Cavalli, Davide Pacini, Sofia Martin-Suarez
ANNALS OF CARDIOTHORACIC SURGERY
(2022)
Editorial Material
Cardiac & Cardiovascular Systems
Fabio Dardi, Alessandra Manes, Daniele Guarino, Sofia Martin Suarez, Antonio Loforte, Mariangela Rotunno, Davide Pacini, Nazzareno Galie, Massimiliano Palazzini
ANNALS OF CARDIOTHORACIC SURGERY
(2022)
Article
Cardiac & Cardiovascular Systems
Sofia Martin-Suarez, Antonio Loforte, Giulio Giovanni Cavalli, Gregorio Gliozzi, Luca Botta, Carlo Mariani, Valentina Orioli, Daniela Votano, Antonino Costantino, Valeria Santamaria, Sara Tassi, Costanza Fiaschini, Francesco Campanini, Massimiliano Palazzini, Barbara Rossi, Nicolo Antonino Barbera, Fabio Niro, Alessandra Manes, Francesco Saia, Fabio Dardi, Nazzareno Galie, Davide Pacini
Summary: Chronic thromboembolic pulmonary hypertension (CTEPH) is a rare and complex disease that differs from other causes of pulmonary hypertension (PH). It is associated with coagulation abnormalities, infection or inflammation, although these disturbances may not be present in many cases. CTEPH is characterized by thrombotic occlusion of pulmonary vessels, varying degrees of ventricular dysfunction, and secondary microvascular arteriopathy. It is classified as World Health Organization group 4 PH and can be surgically cured by pulmonary endarterectomy (PEA). However, not all CTEPH cases can be treated with PEA due to the heterogeneity of the disease. PH-directed medical therapy traditionally used for other types of PH has been proposed and utilized in CTEPH patients. Balloon pulmonary angioplasty, a technique first performed in 2001, has seen a revival as a salvage therapy in inoperable patients. In this keynote lecture, the therapeutic approaches and results of these treatments will be described.
ANNALS OF CARDIOTHORACIC SURGERY
(2022)
Editorial Material
Cardiac & Cardiovascular Systems
Sofia Martin-Suarez, Giulio Giovanni Cavalli, Gregorio Gliozzi, Carlo Mariani, Antonio Loforte, Davide Pacini
ANNALS OF CARDIOTHORACIC SURGERY
(2022)
Review
Cardiac & Cardiovascular Systems
Roberto Di Bartolomeo, Giacomo Murana, Mariafrancesca Fiorentino, Luca Di Marco, Davide Pacini
Summary: With the development of better methods of organ and cerebral protection, complications after open arch repair have significantly decreased over time. The introduction of antegrade cerebral perfusion and other intraoperative techniques have contributed to improved cerebral protection and eased arch reconstruction. However, there are still unresolved issues in cerebral protection, and a super specialized approach and endovascular techniques may offer further improvements in patient care for various arch pathologies.
INDIAN JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY
(2022)
Article
Medicine, General & Internal
Livia Gozzellino, Margherita Nannini, Carmine Pizzi, Ornella Leone, Barbara Corti, Valentina Indio, Chiara Baldovini, Pasquale Paolisso, Alberto Foa, Davide Pacini, Gianluca Folesani, Angela Schipani, Alice Costa, Gianandrea Pasquinelli, Maria Abbondanza Pantaleo, Annalisa Astolfi
Summary: Primary cardiac sarcomas are rare malignant tumors with poor prognosis. This study aimed to investigate the gene mutations and expression profiles of two types of cardiac sarcomas, osteosarcoma and leiomyosarcoma, using whole-transcriptome sequencing. The results revealed specific genetic alterations and differential gene expression in these two types of sarcomas compared to other cardiac histotypes, which could be associated with tumorigenesis mechanisms. These findings provide insights for further research on targeted therapies and improving the prognosis of patients with primary cardiac sarcomas.
Editorial Material
Cardiac & Cardiovascular Systems
Giacomo Murana, Davide Pacini
EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY
(2023)
Article
Cardiac & Cardiovascular Systems
Giacomo Murana, Gregorio Gliozzi, Paola Rucci, Daniela Votano, Valentina Orioli, Simona Rosa, Gianluca Folesani, Francesco Buia, Luigi Lovato, Davide Pacini
Summary: This study analyzed trends in volumes and outcomes of acute aortic syndromes from 2000 to 2021. The findings showed an increase in patient volumes over time, but improvements in treatment and surgical techniques have led to a decrease in early mortality and reoperation rates. However, long-term mortality remains high.
EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY
(2023)