Publications by authors named "H B D Prasada Rao"

This study aimed to investigate the correlation and predictive value of TyG and related parameters with metabolic dysfunction-associated fatty liver disease (MAFLD) MAFLD. This study retrospectively included individuals who underwent health examinations and abdominal ultrasound from July 2021 to June 2024 at the Affiliated Hospital of Southwest Medical University, Sichuan Province, China. A total of 71,299 subjects' clinical and laboratory data were extracted, the correlation between TyG and related parameters and MAFLD was analyzed via univariate and multivariate logistic regression methods, and the nonlinear relationship between the TyG index and the risk of MAFLD was explored via restricted cubic spline (RCS) analysis.

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Purpose: To compare the retinal nerve fiber layer (RNFL), ganglion cell-inner plexiform layer thickness, central subfield thickness (CSFT), and parafoveal and perifoveal thickness in children of different age groups with young adult controls by using spectral-domain optical coherence tomography.

Methods: This cross-sectional study included children aged 6-17 years and adult controls (18-22 years) - group 1: 6-9 years (57 eyes), group 2: 10-13 years (116 eyes), group 3: 14-17 years (66 eyes), and group 4 (controls): 18-22 years (61 eyes). A mixed-effects model was used to compare the OCT parameters among the groups, along with multivariable analysis.

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is widely used as healthy food and herbal medicine for its anti-inflammatory, analgesic, antihypertensive, and antiviral functions. The drying behavior and physicochemical quality of were studied to evaluate its adaptability under four drying techniques: hot air drying (HAD), medium-and short-wave infrared drying (MSWID), pulsed vacuum drying (PVD), and radio frequency-HAD (RF-HAD). Compared with HAD and MSWID, PVD and RF-HAD can form beneficial microporous channels for moisture migration inside , thus shortening drying time by 32.

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This paper evaluated the bibliometric study by Li et al. (Int Urol Nephrol, 2024) on machine learning in renal medicine. Although the study claims to summarize the forefront trends and hotspots in this field, several key issues require further clarification to effectively guide future research.

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Background: Sarcopenia, myosteatosis, and sarcopenic obesity are known to adversely affect nutritional status and quality of life in cirrhotic patients. However, there is limited research on these conditions in individuals with primary biliary cholangitis (PBC). This study aims to identify risk factors for sarcopenia, myosteatosis, and sarcopenic obesity in PBC patients and to investigate their association with therapeutic outcomes and liver-related mortality.

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