Objective: Our objective was to investigate associations between proton pump inhibitor (PPIs) use and infection-related hospitalizations among residents of long-term care facilities (LTCFs).
Methods: This was a case-control study of residents aged ≥ 65 years admitted to hospital between July 2013 and June 2015. Residents admitted for infections (cases) and falls or fall-related injuries (controls) were matched for age (± 2 years), sex, and index date of admission (± 6 months). Conditional logistic regression was used to estimate crude and adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for associations between PPI use and infection-related hospitalizations. Analyses were adjusted for age, sex, polypharmacy, diabetes, heart failure, chronic obstructive pulmonary disease, myocardial infarction, cerebrovascular accident, and concomitant use of cancer and immunosuppressant medications. Subgroup analyses were performed for high- and low/moderate-intensity PPIs and for respiratory and non-respiratory infections. Logistic regression was used to compare the odds of infection-related hospitalizations among users of high- and low/moderate-intensity PPIs.
Results: Overall, 181 cases were matched to 354 controls. Preadmission PPI use was associated with infection-related hospitalizations (aOR 1.66; 95% CI 1.11-2.48). In subgroup analyses, the association was apparent only for respiratory infections (aOR 2.26; 95% CI 1.37-3.73) and high-intensity PPIs (aOR 1.93; 95% CI 1.23-3.04). However, the risk of infection-related hospitalization was not significantly higher among users of high- versus low/moderate-intensity PPIs (aOR 1.25; 95% CI 0.74-2.13).
Conclusion: Residents who use PPIs may be at increased risk of infection-related hospitalizations, particularly respiratory infections. Study findings provide further support for initiatives to minimize unnecessary PPI use in the LTCF setting.
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http://dx.doi.org/10.1007/s40266-019-00704-6 | DOI Listing |
Zhonghua Xue Ye Xue Za Zhi
November 2024
State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China.
Patients with hematologic diseases are prone to infections, and infection-related mortality is high in this population. Accurate diagnosis of infectious pathogens is crucial; however, conventional microbiological testing often fails to meet clinical needs, presenting a significant challenge in clinical practice. Metagenomic next-generation sequencing (mNGS), with its high sensitivity, broad coverage, and short turnaround time, has been widely adopted in diagnosing infectious diseases.
View Article and Find Full Text PDFAIDS Res Ther
December 2024
Department of Neurology, Xi'an International Medical Center Hospital, xitai road, gaoxin District, Xi'an city, Shaanxi Province, China.
Background: Human immunodeficiency virus (HIV) is a retrovirus mainly infecting immune cells. Central nervous system diseases in HIV-infected patients can be caused by HIV or opportunistic infections. Neurological diseases associated with HIV have diverse manifestations and may occur in early or late stages.
View Article and Find Full Text PDFPLoS One
December 2024
Centre for Health Informatics, Faculty of Biology, Medicine and Health, School of Health Sciences, the University of Manchester, Manchester, United Kingdom.
Background: Antimicrobial resistance (AMR) is a multifaceted global challenge, partly driven by inappropriate antibiotic prescribing. The objectives of this study were to evaluate the impact of the COVID-19 pandemic on treatment of common infections, develop risk prediction models and examine the effects of antibiotics on infection-related hospital admissions.
Methods: With the approval of NHS England, we accessed electronic health records from The Phoenix Partnership (TPP) through OpenSAFELY platform.
BMC Infect Dis
December 2024
Department of Infectious Diseases, The First Hospital of China Medical University, Shenyang, 110001, China.
Objectives: Delayed diagnosis of patients with Fever of Unknown Origin has long been a daunting clinical challenge. Onco-mNGS, which can accurately diagnose infectious agents and identify suspected tumor signatures by analyzing host chromosome copy number changes, has been widely used to assist identifying complex etiologies. However, the application of Onco-mNGS to improve FUO etiological screening has never been studied before.
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