Current status of BCG and OPV vaccination in children with primary immunodeficiency in Chongqing, China
Bibliographic record
Abstract
This study actively monitors patients with primary immunodeficiency under the age of 18 to understand the risk of adverse reactions after vaccination and provide references for developing vaccination evaluation measures for children with special health conditions. A questionnaire survey was conducted on patients diagnosed with primary immunodeficiency, collecting diagnosis and treatment information as well as the vaccination records of live vaccines. Two stool samples were collected for virus detection and the vaccine-derived poliovirus was analyzed. A total of 26 primary immunodeficiency patients were enrolled among 3312 monitored cases, including 5 cases of severe combined immunodeficiency, 7 cases of primary antibody deficiency, and 14 cases of other types of immunodeficiency. Among the 21 cases with clear vaccination records, the vaccination rate of BCG and oral poliovirus vaccine were 95.24% and 71.43%, respectively. Among them, the vaccination rates of both vaccines for patients with severe combined immunodeficiency were 100% and 60.00%, respectively; and for patients with primary antibody deficiency were 100%. It was found that 1 patient with severe combined immunodeficiency had disseminated BCG infection after vaccination, and type Ⅲ immunodeficiency-associated vaccine-derived poliovirus was detected in his stool samples. The proportion of primary immunodeficiency patients receiving live vaccines is high, and there is a risk of adverse reactions after vaccination. It is recommended to improve the awareness and ability of recognizing vaccination for children with immunodeficiency, promote the active monitoring of children with immunodeficiency in hospitals, and adjust the immunization strategy for polio vaccine in a timely manner.
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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 | 0.001 | 0.002 |
| 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".