Intravenous Immunoglobulin Therapy in Superantigen-Mediated Toxic Shock Syndrome
Bibliographic record
Abstract
Toxic shock syndrome (TSS) is a serious acute bacterial disease characterized by fever, diffuse erythematous rash, hypotension, multiorgan involvement, and desquamation of the skin one to two weeks after onset. Various immunomodulatory agents and antisuperantigen therapeutic strategies have been proposed. One such strategy includes the administration of intravenous polyspecific immunoglobulin (IVIG). This chapter reviews the mechanistic actions and use of IVIG as adjunctive therapy for TSS. Patients were considered to have streptococcal TSS if they had hypotension in combination with two or more of the following: acute renal failure, coagulation abnormalities, liver abnormalities, adult respiratory distress syndrome (ARDS), generalized rash, and necrotizing fasciitis. The observation that staphylococcal TSS patients normally do not have detectable bacteremia, yet the patients demonstrate significant systemic features, suggested that TSS was the result of a toxemia. Most Streptococcus pyogenes strains express several different superantigens, and strains harbor in general genes encoding three to five of the superantigens, but the repertoire of genes varies between strains. S. pyogenes and Staphylococcus aureus are major human pathogens largely due to their ability to modulate and exploit the host defense mechanisms. Conventional therapy of invasive S. pyogenes infections has consisted of antimicrobials and, when necessary in severe invasive disease, support of vital functions for those patients with streptococcal TSS and surgery for those patients with necrotizing fasciitis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".