Relationship Between Steroid and Antibiotic Therapy and the Frequency of Oral Candidiasis
Bibliographic record
Abstract
Most fungal infections in the oral cavity are caused by antagonism and immunosuppression.It occurs in patients who suffer from immunodeficiency such as diabetes or diseases that cause a weakened immune system.The frequency of oral thrush has increased significantly in the world with the increase in viral infections and the use of immunosuppressive medications caused by immunodeficiency.Certain species of Candida, such as Candida albicans, can cause the fungal infection known as candidiasis.When it affects the mouth, it is called thrush in some countries.Symptoms include white patches on the palate and other areas of the mouth and oral mucosa.Other symptoms may include ulceration and swallowing problems.Aspergillus, a common mold that grows both indoors and outdoors, is the source of aspergillosis, an infection.The majority of people inhale Aspergillus spores on a daily basis without becoming unwell.However, Aspergillus-related health issues are more common in those with lung diseases or compromised immune systems.The primary goal of this investigation is to examine fungal infection in 100 patients with immunodeficiency, particularly those with concomitant and chronic diseases.We found that oral fungal infections, particularly those caused by Candida species, are becoming more common in immunocompromised individuals, including those with autoimmune diseases, diabetes, or those receiving immunosuppressive therapies.Symptoms of these infections are often white lesions in the mouths that can lead to painful ulcers and difficulty swallowing.The increase in the use of corticosteroids combined with the use of broad-spectrum antibiotics has increased the prevalence of oral candidiasis, since these drugs impair host immune response, and affect the balance of oral resident microbiota.As a result, opportunistic fungi such as Candida albicans can proliferate and cause infections.The purpose of this study is to determine the relationship between these medications and the incidence of oral fungal infection, especially candidiasis, in immunocompromised patients so that better prophylaxis and treatment strategies can be established.The results of this study indicate a significant association between the types of fungi and the incidence of infection (P = 0.000).Furthermore, results showed that females are more frequently infected by Candida albicans, with an infection rate of 80%, compared to males at 20%.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".