Introduction: Androgenetic alopecia (AGA) is characterized by miniaturization of the hair follicle, leading to vellus transformation of the terminal hair follicle. It is caused by interactions between androgens, several genes, and environmental factors with hair follicles. Benign prostatic hyperplasia (BPH) is highly prevalent among elderly men but infrequent in those younger than 40 years. Because both entities share a common pathogenesis and AGA manifests before the onset of BPH, there could be an association between AGA and BPH.
Aim: To study the possible association between AGA and the size of prostate.
Materials And Methods: Sixty-five consecutive male patients, 35-65 years of age with AGA of Hamilton-Norwood classification Grades 3-7, were included in the study. AGA of Grades 1 and 2 patients on treatment with minoxidil, finasteride, or other treatments for AGA with history of prostate cancer or prostate disease were excluded from the study. Prostate size was measured through transabdominal ultrasonography. Statistical analysis was done with SPSS software.
Results: Of the 65 AGA patients, the mean age was 47.18 years. Grade 4 AGA was the most common grade seen in 19 patients (29.2%), out of which, most (47.4%) were in the 56-65 years age group. 52.3% patients had normal prostate volume, and 47.7% had an enlarged prostate. The percentage of patients with the normal and enlarged prostate in moderate Grade 3 AGA was 68.8% and 31.2%, and in severe Grade 6 AGA, it was 33.3% and 66.7%, respectively. Prostate enlargement was more likely to occur in severe AGA than in moderate AGA(odds ratio 3.311; P = 0.025, which is significant).
Conclusion: This study revealed an increase in prostate size with increasing age, with higher prevalence of Grade 1 prostate enlargement in younger individuals, and with higher prevalence of Grade 3 prostate enlargement in elderly men. The study also found a positive correlation between AGA and prostate size, with higher grades of AGA having higher prostate volume.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4989389 | PMC |
http://dx.doi.org/10.4103/0974-7753.188034 | DOI Listing |
Rhinology
January 2025
Otorhinolaryngology and Skull Base Center, AP-HP, Hospital Lariboisière, Paris, France.
Background: This study examines the management and outcomes of large paranasal sinus osteomas (PSO), especially those abutting or encasing critical structures of the skull base and orbit.
Methodology: A multicentric retrospective analysis was conducted between June 2007 and September 2023. The study included surgically treated (regardless the type of approach chosen) PSO, exceeding 3 cm in diameter and/or located in critical anatomical areas.
J Pak Med Assoc
January 2025
Department of Nephrology, Aga Khan University, Karachi, Pakistan.
Objective: To develop evidence-based local clinical practice guidelines and primary care referral pathways for general physicians to help streamline the management of glomerular diseases and diabetes in chronic kidney disease patients in Pakistan.
Methods: The study was conducted from October 2021 to February 2023 at the Centre for Clinical Best Practices, Aga Khan University Hospital, Karachi, in collaboration with the AKUH Section of Nephrology. Two source guidelines were selected by the local nephrologists after a thorough literature review on PubMed and Google Scholar.
J Pak Med Assoc
January 2025
Department of Paediatrics, Aga Khan University Hospital, Karachi, Pakistan.
J Pak Med Assoc
January 2025
Department of Biological and Biomedical Sciences, The Aga Khan University, Karachi, Pakistan.
J Pak Med Assoc
January 2025
Department of Neurosurgery, Aga Khan University Hospital, Karachi, Pakistan.
Brain tumours are a leading cause of death and disability, impacting individuals across all ages, genders, and ethnicities. They are primarily diagnosed using MRI but a precise diagnosis is dependent on the molecular biology of the tumour studied on the pathological specimen. Artificial intelligence and machine learning are forging new paths through diagnostic obstacles, offering the intriguing benefits of non-invasive diagnosis, pattern recognition, and outcome prediction from imaging data.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!