In our previous study, istradefylline treatment in patients with Parkinson's disease (PD) improved postural abnormalities (PAs), as seen from a decrease in the mean Unified Dystonia Rating Scale (UDRS) total score from week 0 to week 24. A subgroup analysis based on baseline clinical characteristics investigated the association between improvement in the UDRS total score and istradefylline treatment. However, the association between an objective assessment of PAs and improvement in the UDRS total score is unclear. This ad hoc analysis investigated the association between improvement in the UDRS total score after istradefylline treatment and baseline trunk and neck angles, objective assessments of PAs, measured from patients' photographs taken in the previous study. The patients ( = 31) were stratified into groups based on the trunk forward flexion angle (TFFA), trunk lateral flexion angle (TLFA), and neck flexion angle (NFA) values at baseline. From week 0 to week 24, significant improvements in the UDRS total score were found in median percent change (-8.33% [interquartile range: -43.97, 0.00], = 0.039) in patients with equal to or above the median TFFA values, and in median change (-1.50 [-9.25, 0.00], = 0.015) and median percent change (-13.33% [-50.47, 0.00], = 0.009) in patients with equal to or above the median TLFA values. Patients with more advanced PAs showed more consistent improvements in the UDRS total score with istradefylline. Baseline TFFA and TLFA values, which are objective values, may be useful to assess the istradefylline effectiveness in patients with PD and PAs.
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http://dx.doi.org/10.1016/j.ensci.2023.100493 | DOI Listing |
J Eval Clin Pract
February 2025
Nursing Department, Faculty of Health Sciences, Karadeniz Technical University, Trabzon, Türkiye.
Introduction: Implementation of clinical practice guidelines, an important strategy in the prevention of pressure injuries, enables the nurse to interpret evidence-based guideline recommendations, reduce errors, ensure compliance and standardisation of complex processes, manage patient-related risks and systematically regulate all preventable conditions.
Objective: This study was conducted to ensure the Turkish language and content validity of the Standardised Pressure Injury Prevention Protocol (SPIPP- Adult) Checklist 2.0.
Biochem Genet
December 2024
College of Medical Laboratory, Dalian Medical University, Dalian, 116044, People's Republic of China.
This study aims to establish a genetic risk assessment model based on a score of short tandem repeats (STRs) of polygenic inheritance. A total of 396 children and their biological parents were collected for STR genotyping. The numbers of tandem repeats of two alleles in one STR locus were assumed to be a quantitative genetic strength for disease incidence.
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December 2024
Department of Internal Medicine, Pusan National University School of Medicine, Busan, South Korea.
Proton pump inhibitors (PPIs) are among the most widely used drugs worldwide. However, their influence on the progression of end-stage kidney disease (ESKD) in established chronic kidney disease (CKD) cases is unclear. Using the Korean Health Insurance Review and Assessment database encoded by the Observational Medical Outcomes Partnership-Common Data Model (OMOP-CDM), patients with stage 3 or 4 CKD initiating PPIs or histamine-2 receptor antagonists (H2RAs) for over 90 days were enrolled from 2012 through 2021.
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December 2024
Department of General Surgery, The Affiliated People's Hospital of Jiangsu University, 8 Dianli Road, Zhenjiang, 212002, Jiangsu, China.
Impaired nutritional status is closely related to the development of sarcopenia and poor quality of life (QoL) in cancer patients. This study aimed to investigate the association of Geriatric Nutritional Risk Index (GNRI) with sarcopenia and QoL in patients with gastric cancer (GC). Sarcopenia was diagnosed based on the Asian Working Group for Sarcopenia 2019 criteria.
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December 2024
Department of Medical Ultrasound, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, No. 16766, Jingshi Road, Jinan, 250014, Shandong, People's Republic of China.
This study aimed to explore a deep learning radiomics (DLR) model based on grayscale ultrasound images to assist radiologists in distinguishing between benign breast lesions (BBL) and malignant breast lesions (MBL). A total of 382 patients with breast lesions were included, comprising 183 benign lesions and 199 malignant lesions that were collected and confirmed through clinical pathology or biopsy. The enrolled patients were randomly allocated into two groups: a training cohort and an independent test cohort, maintaining a ratio of 7:3.
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