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Function: insertAPISummary
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Background: The symptoms of adrenal insufficiency (AI) overlap with the common effects of advanced cancer and chemotherapy. Considering that AI may negatively affect the overall prognosis of cancer patients if not diagnosed in a timely manner, we analyzed the incidence, risk factors, and predictive methods of AI in cancer patients.
Methods: We retrospectively analyzed the medical records of 184 adult patients with malignancy who underwent a rapid adrenocorticotrophic hormone stimulation test in the medical hospitalist units of a tertiary hospital. Their baseline characteristics and clinical features were evaluated, and the risk factors for AI were identified using logistic regression analysis.
Results: Of the study patients, 65 (35%) were diagnosed with AI, in whom general weakness (63%) was the most common symptom. Multivariate logistic regression showed that eosinophilia (adjusted odds ratio [aOR], 4.28; 95% confidence interval [CI], 1.10-16.63; = 0.036), history of steroid use (aOR, 2.37; 95% CI, 1.10-5.15; = 0.028), and history of megestrol acetate use (aOR, 2.71; 95% CI, 1.38-5.33; = 0.004) were associated with AI. Baseline cortisol levels of 6.2 μg/dL and 12.85 μg/dL showed a specificity of 95.0% and 95.4% for AI diagnosis, respectively.
Conclusion: AI was found in about one-third of patients with cancer who showed general symptoms that may be easily masked by cancer or chemotherapy, suggesting that clinical suspicion of AI is important while treating cancer patients. History of corticosteroids or megestrol acetate were risk factors for AI and eosinophilia was a pre-test predictor of AI. Baseline cortisol level appears to be a useful adjunct marker for AI.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294500 | PMC |
http://dx.doi.org/10.3346/jkms.2022.37.e222 | DOI Listing |
Breast Cancer Res Treat
December 2024
Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre University Health Network, 700 University Ave, Toronto, ON, M5G 1Z5, Canada.
Purpose: In early-stage breast cancer, steatotic liver disease (SLD) is associated with increased recurrence, cardiovascular events, and non-cancer death. Endocrine therapy (ET) increases the risk of SLD. The impact of cyclin-dependent kinases 4/6 inhibitors (CDK4/6i) on SLD and prognostic association in metastatic breast cancer is unknown.
View Article and Find Full Text PDFDrugs
December 2024
Institute for Infectious Disease and Infection Control, Jena University Hospital, Friedrich-Schiller-University, Am Klinikum 1, 07749, Jena, Germany.
The Gram-positive cocci Staphylococcus aureus, Streptococcus spp., and Enterococcus spp. are the most frequent causative organisms of bloodstream infections and infective endocarditis.
View Article and Find Full Text PDFJ Infect Dis
December 2024
Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Canada.
Background: CD4+ T cells expressing α4β7 are optimal targets for HIV infections, with higher pre-HIV α4β7hi expression linked to increased HIV acquisition and progression in South African women. However, similar associations were not observed in men who have sex with men (MSM) or people who inject drugs (PWID) in the Americas, indicating need for further research.
Methods: This retrospective case-control study enrolled heterosexual men and women from South Africa (HIV Vaccine Trials Network; HVTN 503) and East Africa (Partners Pre-Exposure Prophylaxis/Couples' Observational Study; PP/COS), quantifying α4β7 expression on CD4+ T cells as a predictor of subsequent HIV risk using flow cytometry analyses.
Biomol Biomed
December 2024
Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Sichuan Province Engineering Technology Research Center of Molecular Diagnosis of Clinical Diseases, Molecular Diagnosis of Clinical Diseases Key Laboratory of Luzhou, Sichuan, China.
Breast cancer (BC) is a prevalent malignant tumor that poses a significant health risk to women. The complexity of basic BC research and clinical treatment is influenced by multiple factors, including age, fertility, hormone metabolism, molecular subtypes, and tumor grading and staging. Traditional in vitro models often fall short of meeting modern research demands, whereas organoids-an emerging 3D primary culture technology-offer a unique platform that better replicates the tumor microenvironment (TME).
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