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Background: Reports of adverse outcomes with use of Proton Pump Inhibitors (PPIs) and recent associations between PPI use and Chronic Kidney Disease (CKD) suggest the need to examine PPI use in the general population.
Objectives: The purpose of this study was to examine PPI use in the general U.S. population with a focus on CKD stages.
Methods: This was a retrospective database study of the National Health and Nutrition Examination Survey (NHANES) for years 2009-2013. Inclusion criteria were age ≥ 18 years and having a serum creatinine value. The Andersen Behavioral Model of Health Services Utilization and previous research were used to identify the independent variables. Dependent variable was self-reported prescription medication use. Multinomial logistic regression models were used to examine factors associated with PPI use.
Results: Overall, the weighted prevalence of PPI use was 8.7%. Only 4.5% of the sample had stage 3 or 4 CKD. PPI use was highest among whites (10.5%) compared to minorities. PPI users were significantly older (mean = 59.8years), with a majority (80%) being 50 years and over. In multivariate analyses, PPI use was associated with having two or more comorbidities (OR = 3.8, CI: 2.85-5.13), and having fair/poor health (OR 4.6 (3.5-5.9). Stage 3 and 4 CKD patients had higher odds of using PPIs (stage 3 OR = 3.8 CI: 2.5-5.8, stage 4 OR = 6.5 CI: 1.6-25.8) compared to stage 1 patients.
Conclusion: /Relevance: This is the first study to examine both predictors and racial disparities in PPI use in the general US population. While PPI use was low, there were racial disparities in PPI use. Multiple comorbid conditions, lower quality of life, and stage 3/4 CKD were associated with PPI use. Awareness of these predictors will enable clinicians to target key patient groups for tailored education and closer monitoring of PPI use.
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http://dx.doi.org/10.1016/j.sapharm.2019.08.032 | DOI Listing |
JMIR Ment Health
September 2025
National Institute of Health and Care Research MindTech HealthTech Research Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Background: Cross-sector collaboration is increasingly recognized as essential for addressing complex health challenges, including those in mental health. Industry-academic partnerships play a vital role in advancing research and developing health solutions, yet differing priorities and perspectives can make collaboration complex.
Objective: This study aimed to identify key principles to support effective industry-academic partnerships, from the perspective of industry partners, and develop this into actionable guidance, which can be applied across sectors.
IEEE Trans Comput Biol Bioinform
September 2025
Accurately identifying associations between human genes (proteins) and clinical phenotypes is critical for advancing drug development and precision medicine. While the human phenotype ontology (HPO) standardizes clinical phenotypes, current computational approaches for predicting human protein-phenotype associations suffer from two limitations: (1) underutilization of multimodal protein-related information and (2) lack of state-of-the-art deep learning representations tailored to diverse data modalities, such as text and sequence. To overcome these limitations, we introduce MultiFusion2HPO, a novel multimodal model that integrates diverse features and advanced learning methods from multiple data sources to enhance the prediction of human protein-HPO associations.
View Article and Find Full Text PDFJAMA Netw Open
September 2025
Oncostat U1018, Institut National de la Santé et de la Recherche Médicale (INSERM), Ligue Contre le Cancer, Paris-Saclay University, Villejuif, France.
Importance: Antibiotics, steroids, and proton pump inhibitors (PPIs) are suspected to decrease the efficacy of immunotherapy.
Objective: To explore the association of comedications with overall survival (OS) in patients with advanced non-small-cell lung cancer (NSCLC).
Design, Setting, And Participants: This nationwide retrospective cohort study used target trial emulations of patients newly diagnosed with NSCLC from January 2015 to December 2022, identified from the French national health care database.
Funct Integr Genomics
September 2025
The First Clinical Medical College, Yunnan University of Chinese Medicine, Kunming, China.
Ischemic stroke (IS) has high morbidity/mortality with limited treatments. This study screened core copper homeostasis-related genes in IS and validated their function as precise intervention targets. Human IS gene chip data were retrieved from GEO, and copper homeostasis genes from multiple databases.
View Article and Find Full Text PDFFront Immunol
September 2025
Department of Thoracic Surgery, Shenzhen People's Hospital (The First Affiliated Hospital, Southern University of Science and Technology; The Second Clinical Medical College, Jinan University), Shenzhen, Guangdong, China.
Background: Lung cancer remains the leading cause of cancer-related mortality globally, primarily due to late-stage diagnosis, molecular heterogeneity, and therapy resistance. Key biomarkers such as EGFR, ALK, KRAS, and PD-1 have revolutionized precision oncology; however, comprehensive structural and clinical validation of these targets is crucial to enhance therapeutic efficacy.
Methods: Protein sequences for EGFR, ALK, KRAS, and PD-1 were retrieved from UniProt and modeled using SWISS-MODEL to generate high-confidence 3D structures.