Results 191 to 200 of about 95,214 (265)

Novel Histopathologic Features of Diffuse Blue‐Gray Hyperpigmentation Associated With Kratom Use: A Case Report and Literature Review

open access: yesJournal of Cutaneous Pathology, EarlyView.
ABSTRACT Background Drug‐induced hyperpigmentation accounts for 10%–20% of acquired pigmentary disorders and can be misdiagnosed for other causes such as melasma, post inflammatory changes, or heavy metal deposition. Kratom (Mitragyna speciosa), a Southeast Asian plant with an opioid‐like profile, has been increasingly used in the United States for ...
Rita Kamoua   +4 more
wiley   +1 more source

Quality of life in patients with scarring and non‐scarring alopecia: An exploratory cross‐sectional study

open access: yesJDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.
Summary Background and Objectives Hair loss disorders impact quality of life (QoL) far beyond cosmetic issues, with previous studies showing mild to moderate impairment. This study aimed to assess QoL impairment in hair loss patients, comparing scarring and non‐scarring alopecia, and to analyze possibly related influencing factors.
Agathe Franz   +7 more
wiley   +1 more source

Associations between steatotic liver disease subtypes and incident diabetes in young Korean adults: A nationwide cohort study

open access: yesDiabetes, Obesity and Metabolism, EarlyView.
Abstract Aims The impact of steatotic liver disease (SLD) subtypes on incident type 2 diabetes remains unclear. We investigated the association of metabolic dysfunction‐associated steatotic liver disease (MASLD), MetALD (MASLD with moderate alcohol consumption), and alcohol‐related liver disease (ALD) with incident type 2 diabetes in Korean adults aged
Goh Eun Chung   +6 more
wiley   +1 more source

Sex Differences in Asthma Pathogenesis. [PDF]

open access: yesImmunol Rev
McKernan KE, Pilier EH, Newcomb DC.
europepmc   +1 more source

Literature‐informed ensemble machine learning for three‐year diabetic kidney disease risk prediction in type 2 diabetes: Development, validation, and deployment of the PSMMC NephraRisk model

open access: yesDiabetes, Obesity and Metabolism, EarlyView.
Abstract Introduction Diabetic kidney disease (DKD) and diabetic nephropathy (DN) affect around 40% of diabetic patients but lack accurate risk prediction tools that include social determinants and demographic complexity. We developed and validated an ensemble machine learning model for three‐year DKD/DN risk prediction with deployment readiness ...
Ayla M. Tourkmani   +5 more
wiley   +1 more source

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