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Background: Autosomal dominant kidney disease (ADPKD) is the most common monogenic disorder leading to renal failure with limited therapeutic options. We aimed to assess the efficacy and safety of metformin in nondiabetic ADPKD patients and its role in slowing disease progression.
Materials And Methods: We conducted a prospective, randomized controlled, open labelled clinical trial and enrolled 52 nondiabetic adults aged 18-60 years with typical ADPKD, estimated glomerular filtration rate (eGFR) > 45 mL/min/m, and no risk factors of rapid disease progression. Participants were randomized in a 1:1 ratio by a computer-generated random number table into metformin + standard of care group (metformin arm) and standard of care group (Control arm). Primary outcome of the study was to evaluate the effects of metformin versus control arm on the percentage and absolute change in eGFR over a 6-month period.
Results: Mean (SD) age of the cohort was 37.15 (10.16) years with half of them being females. The mean (SD) baseline htTKV and eGFR were 335.67 (153.3) mL/m and 100.23 (25.95) mL/min/m, respectively. Clinical exome sequencing was available in nine (17.3%) patients of which two-thirds had PKD1 mutation. Baseline characteristics were distributed equally across randomized groups. Baseline proteinuria was significantly higher in the metformin arm (p = 0.014). The eGFR difference and percentage change in eGFR was not different between the groups at 6 months (p = 0.53 and 0.48, respectively). There was no statistically significant difference in htTKV and percentage change in htTKV at 6 months between the groups, although an increase in htTKV was numerically smaller in the metformin group (p = 0.769, 0.805). Blood pressure, body weight, body mass index (BMI), and proteinuria also did not differ between the two groups. Only half of the cohort tolerated the maximum dose of metformin. Around two-thirds of patients reported adverse effects, most commonly asthenia.
Conclusion: Metformin appears to be safe and well tolerated in nondiabetic patients with ADPKD.
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http://dx.doi.org/10.25259/IJN_100_2024 | DOI Listing |
J Patient Saf
September 2025
The Wellbeing Services County of Ostrobothnia, Vaasa, Finland.
Objectives: The aim of this study was to explore contributing factors identified in serious incident investigations conducted by internal, independent multidisciplinary teams.
Methods: A total of 166 serious incident investigation reports, conducted between 2018 and 2023 in 11 integrated social and health care organizations in Finland, were analyzed. The reports were classified by incident type and contributing factor, which were analyzed using the WHO's Conceptual Framework for the International Classification for Patient Safety.
Zhong Nan Da Xue Xue Bao Yi Xue Ban
May 2025
Department of Geriatric Pulmonary and Critical Care Medicine, Xiangya Hospital, Central South University; National Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Changsha 410008.
Objectives: Non-small cell lung cancer (NSCLC) is associated with poor prognosis, with 30% of patients diagnosed at an advanced stage. Mutations in the and genes are important prognostic factors for NSCLC, and targeted therapies can significantly improve survival in these patients. Although tissue biopsy remains the gold standard for detecting gene mutations, it has limitations, including invasiveness, sampling errors due to tumor heterogeneity, and poor reproducibility.
View Article and Find Full Text PDFDermatitis
September 2025
From the Department of Dermatology, Venereology and Leprology, All India Institute of Medical Sciences (AIIMS), Bhopal, India.
Contact dermatitis (CD), which includes both allergic CD and irritant CD, is a common inflammatory condition that can pose significant diagnostic challenges. Although patch testing is the gold standard for identifying causative allergens for allergic contact dermatitis (ACD), it is time-consuming, subjective, and requires expert interpretation. Recent advancements in artificial intelligence (AI), particularly in machine learning (ML) and deep learning, have shown promise in improving the accuracy, efficiency, and accessibility of CD diagnosis and management.
View Article and Find Full Text PDFJ Womens Health (Larchmt)
September 2025
Department of Psychological and Brain Sciences, University of Iowa, Iowa City, Iowa, USA.
Disordered eating behaviors and depressive symptoms can be problematic during pregnancy for both the individual and their offspring. Our study aimed to determine the extent to which body image dissatisfaction early in pregnancy predicts eating disorder behaviors and/or depressive symptoms across pregnancy. Participants ( = 253) completed self-report assessments of depressive and eating disorder symptoms alongside the modified Body Image in Pregnancy Scale in their first, second, and third trimesters.
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