Background: Sympathetic nervous system hyperactivity promotes vascular disorders by its catabolic effects and by increasing arterial blood pressure. Levodopa-derived dopamine modulates sympathetic overactivity and is known to reduce blood pressure, but its effects on glucose and lipid metabolism have not been studied in large series of patients.
Methods: We retrospectively examined 483 consecutive parkinsonian patients, admitted to a single institute between 1970 and 1987, before statins were available. We compared risk factors for vascular disease in the 305 who were on levodopa with the 178 who had never received the drug.
Results: On admission levodopa-treated patients had significantly lower plasma levels of triglycerides, total cholesterol and lipids, and lower frequency of diabetes and hypertension than untreated patients. Mean body mass index, resting blood pressure, fasting plasma glucose, and smoking did not differ between the groups. A year after enrollment 160 patients were re-hospitalized; of these 63 had started levodopa during first hospitalization. In these new levodopa users total cholesterol, triglycerides and lipids had reduced to levels comparable with those of longer-term levodopa users.
Conclusion: Levodopa use in parkinsonian patients is associated with reduced vascular risk factors. In causal terms this finding might be attributed to the inhibitory action of levodopa-derived dopamine on the sympathetic nervous system.
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http://dx.doi.org/10.1016/j.parkreldis.2008.04.036 | DOI Listing |
Hum Brain Mapp
February 2025
Department of Psychological and Brain Sciences, University of Delaware, Newark, Delaware, USA.
Converging lines of research indicate that inhibitory control is likely to be compromised in contexts that place competing demands on emotional, motivational, and cognitive systems, potentially leading to damaging impulsive behavior. The objective of this study was to identify the neural impact of three challenging contexts that typically compromise self-regulation and weaken impulse control. Participants included 66 healthy adults (M/SD = 29.
View Article and Find Full Text PDFANZ J Surg
January 2025
Department of General Surgery, Digestive Disease Hospital, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Objective: To explore independent risk factors and to establish a predictive model for postoperative urinary retention (POUR) following transabdominal preperitoneal inguinal hernia repair (TAPP).
Methods: Between January 2017 and December 2023, 598 patients with inguinal hernia who underwent TAPP at the General Surgery Department of Zunyi Medical University Affiliated Liupanshui Hospital were enrolled in the study. Participants were randomly divided into training and validation sets (7:3 ratio).
The clinical breakpoint for a drug-pathogen combination reflects the drug susceptibility of the pathogen wild-type population, the location of the infection, the integrity of the host immune response, and the drug-pathogen pharmacokinetic (PK)/pharmacodynamic (PD) relationship. That PK/PD relationship, along with the population variability in drug exposure, is used to determine the probability of target attainment (PTA) of the PK/PD index at a specified minimum inhibitory concentration (MIC) for a selected target value. The PTA is used to identify the pharmacodynamic cutoff value (CO), which is one of the three components used to establish the clinical breakpoint.
View Article and Find Full Text PDFTransfus Med
January 2025
Hospital de Pediatría, Hospital de Pediatría Prof. Dr. Juan P. Garrahan, Buenos Aires, Argentina.
Background: Worldwide, there has been a worrying increase in the prevalence of syphilis. Blood banks have a major role in monitoring the trend of these events, despite the bias due to the altruistic donation strategy.
Objectives: To determine the seroprevalence of syphilis and analyse its association with defined risk factors among blood donors at the regional blood center at Hospital Prof.
J Eur Acad Dermatol Venereol
January 2025
Pathology Department, IHP Group, Nantes, France.
Background: There is a need to improve risk stratification of primary cutaneous melanomas to better guide adjuvant therapy. Taking into account that haematoxylin and eosin (HE)-stained tumour tissue contains a huge amount of clinically unexploited morphological informations, we developed a weakly-supervised deep-learning approach, SmartProg-MEL, to predict survival outcomes in stages I to III melanoma patients from HE-stained whole slide image (WSI).
Methods: We designed a deep neural network that extracts morphological features from WSI to predict 5-y overall survival (OS), and assign a survival risk score to each patient.
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