Objectives: Ineffective esophageal motility is frequently observed in gastroesophageal reflux disease (GERD) patients but its clinical relevance remains controversial. In healthy subjects and in patients with nonobstructive dysphagia, it has been demonstrated, by means of high-resolution manometry (HRM), that long breaks of esophageal peristalsis predict delayed bolus clearance.
Methods: HRM and 24-h multichannel impedance-pH (MI-pH) monitoring were performed in 40 GERD patients with no evidence of hiatal hernia. Total bolus clearing time (BCT) in upright and supine position and acid exposure time (AET) were calculated.
Results: Of the 40 patients, 23 showed a pathological AET and 15 erosive reflux disease (ERD). Patients with a pathological number of large breaks were characterized by a significantly lower BCT value in the supine position and higher AET. In all, 10/15 ERD patients (67%) and 5/25 nonerosive reflux disease patients (20%) were characterized by an abnormal number of small or large breaks (P<0.05). ERD patients were characterized by significantly higher AET and BCT in the supine position.
Conclusions: GERD patients with a pathological number of large breaks, assessed by HRM, are characterized by a significantly prolonged reflux clearance in the supine position and higher AET. ERD patients display a higher number of esophageal breaks that might explain the development of erosions.
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http://dx.doi.org/10.1038/ajg.2013.373 | DOI Listing |
Soc Sci Med
January 2025
Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, 355a, London, WC1E 7HB, UK.
Despite extensive research on the impact of grandchild care on grandparents' well-being, no studies have examined the frequency of activities that grandparents engage in with their grandchildren or the reasons for care using nationally representative data. We address this gap using waves 8 (2016/2017) and 9 (2018/19) of the English Longitudinal Study of Ageing, a nationally representative study of English older adults. We employ hybrid regression models to distinguish between within- and between-individual effects on grandparents' subjective wellbeing, as captured by quality of life and depressive symptoms.
View Article and Find Full Text PDFFront Biosci (Landmark Ed)
January 2025
The Key Laboratory of Model Animals and Stem Cell Biology in Hunan Province, Hunan Normal University Health Science Center, 410013 Changsha, Hunan, China.
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View Article and Find Full Text PDFRadiat Res
January 2025
Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota.
Variable relative biological effectiveness (RBE) of carbon radiotherapy may be calculated using several models, including the microdosimetric kinetic model (MKM), stochastic MKM (SMKM), repair-misrepair-fixation (RMF) model, and local effect model I (LEM), which have not been thoroughly compared. In this work, we compared how these four models handle carbon beam fragmentation, providing insight into where model differences arise. Monoenergetic and spread-out Bragg peak carbon beams incident on a water phantom were simulated using Monte Carlo.
View Article and Find Full Text PDFPharmaceuticals (Basel)
January 2025
Translational Research Laboratory, Advanced Centre for Treatment, Research and Education in Cancer, Tata Memorial Centre, Kharghar, Navi Mumbai 410210, India.
Resveratrol, a bioactive phytoalexin, has been extensively studied as a pharmaceutical and nutraceutical candidate for the treatment of various diseases. Although its therapeutic effects have been largely attributed to its anti-oxidant properties, its underlying mechanisms and dose dependency are not well understood. Recent studies have shown that cell-free chromatin particles (cfChPs), which are released daily from billions of dying cells, can enter circulation and be internalized by healthy cells, wherein they trigger various damaging effects, including double-strand DNA breaks.
View Article and Find Full Text PDFPharmaceuticals (Basel)
December 2024
College of Pharmacy, Dankook University, 119, Dandae-ro, Dongnam-gu, Cheonan-si 31116, Republic of Korea.
: This study aimed to establish a predictive model for critical quality attributes (CQAs) related to tablet integrity, including tablet breaking force (TBF), friability, and capping occurrence, using machine learning-based models and nondestructive experimental data. : The machine learning-based models were trained on data to predict the CQAs of metformin HCl (MF)-containing tablets using a commercial-scale wet granulation process, and five models were each compared for regression and classification. We identified eight input variables associated with the process and material parameters that control the tableting outcome using feature importance analysis.
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