Assessment of human parvovirus <scp>B19</scp> infection in Egyptian hemodialysis patients
Bibliographic record
Abstract
INTRODUCTION: Parvovirus B19V has been shown to be associated with end-stage renal disease (ESRD) with increased risk of post-infection anemia, especially in hemodialysis (HD) patients. This effect may be due to immunosuppression, insufficient erythropoietin, or short lifespan of red blood cells. Therefore, parvovirus infection should be investigated in this group of patients suffering from anemia or pancytopenia. We assessed the frequency of parvovirus B19 in HD patients attending Suez Canal University Hospital and analyzed the correlation of this infection with hematological parameters in those patients compared with normal individuals. METHODS: We recruited 80 ESRD patients on hemodialysis and 70 healthy controls. History-taking, full examination, and complete blood count (CBC) were performed for all study subjects. Parvovirus B19 detection was performed through polymerase chain reaction (PCR), which included the QIAamp DNA Mini Kit for extracting DNA, which was amplified using TaqMan Universal Master Mix and detected using TaqMan MGB probes by real-time PCR using Rotor Gene Analyzer (6000). FINDINGS: HD patients had a significantly higher frequency of B19V infection than the control group (p = .02). We also found that parvovirus B19-infected HD patients had significantly lower CBC values than uninfected patients. CONCLUSION: The frequency of parvovirus B19 was significantly higher in HD patients and was associated with lower hematological parameters than in uninfected patients, suggesting a significant role of this virus in the pathogenesis of anemia and/or pancytopenia in ESRD.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".