Publications by authors named "J W Heil"
Multimorbidity is characterized by the presence of at least 3 chronic diseases with a prevalence of more than 50% of patients over 60 years old. The Charlson comorbidity index (CCI) enables a description of the severity of the multimorbidity and also provides a correlation with the postoperative outcome after liver resection. According to this, multimorbid patients are at increased risk of morbidity and mortality after liver resection, mostly due to postoperative liver failure.
View Article and Find Full Text PDFThe pretherapeutic assessment of axillary lymph node status is crucial in staging early breast cancer patients, significantly influencing their further treatment and prognosis. According to current guidelines, patients with clinically unsuspicious axillary status regularly undergo a biopsy of sentinel lymph nodes (SLNs), whereby metastasis is detected in up to 20% of cases. In recent years, the use of shear wave elastography (SWE) has been studied as an additional ultrasound tool for the non-invasive assessment of tumors in the breast parenchyma and axillary lymph nodes.
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- The study explores a program in emergency departments (ED) that allows doctors to provide methadone as a temporary treatment for opioid addiction, aiming to improve access and linkage to ongoing care.
- In a review of patient encounters from January to August 2021, it was found that 91% of patients who received methadone as a "guest dose" continued treatment after leaving the ED, indicating a strong retention rate.
- The results suggest that ED-based methadone treatment can effectively bridge patients to opioid treatment programs, with certain factors like the chief complaint helping predict successful patient linkage to continued care.
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- The study focuses on predicting the risk of severe toxicity from cancer treatments using machine learning algorithms, addressing a significant concern for patients.
- Clinical data from 590 breast cancer patients was analyzed to develop and validate two algorithms, with enhancements in predictive accuracy achieved by incorporating treatment information alongside patient characteristics.
- Results indicate that machine learning can effectively forecast treatment-related toxicity, offering a potential strategy to enhance treatment safety and management for cancer patients.
C-H bond activation is the first step in manufacturing chemical products from readily available light alkane feedstock and typically proceeds via carbon-intensive thermal processes. The ongoing emphasis on decarbonization via electrification motivates low-temperature electrochemical alternatives that could lead to sustainable chemicals production. Platinum (Pt) electrocatalysts have shown activity towards reacting alkanes; however, little is known about propane electrocatalytic activation and conditions suitable for enabling selective oxidation to valuable products.
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