Evans Syndrome and COVID-19 Infection or Vaccination: A Systematic Review of Case Reports
Bibliographic record
Abstract
Evans syndrome (ES) is an autoimmune disorder of unknown etiology characterized by autoimmune hemolytic anemia (AIHA) and immune thrombocytopenia (ITP). In this systematic review, we analyzed the reported cases of ES secondary to coronavirus disease 2019 (COVID-19) infection or COVID-19 vaccination. We examined their clinical presentation, temporality between events, diagnostics tests, and treatment regimens. Our search in four databases from December 2019 to September 2023 yielded 16 case reports that met eligibility criteria for inclusion. COVID-19 and ES symptoms were defined to assess the timeline between infection/vaccination and ES onset. Finally, treatment efficacy was categorized as complete, partial, or no response based on standard hematological criteria. Eleven cases of ES were associated with COVID-19 infection, and five cases of ES were associated with COVID-19 vaccination. All 16 cases presented with anemia, thrombocytopenia, and a positive Coombs test. Four of the five patients from the vaccination subset were found to have an additional autoimmune disease as a comorbidity on presentation. For cases of ES secondary to COVID-19 infection, six patients had concomitant symptoms of COVID-19 and ES on presentation, and four patients had ES symptoms occurring from 5 days to 3 weeks following COVID-19 infection. The remaining case presented a patient with a 3-week history of ES symptoms before a positive COVID-19 test and further ES workup on admission. For the five cases of ES post-COVID-19 vaccination, all five patients presented with ES with a mean presentation time of 9 days following vaccination. Regarding treatment, intravenous immunoglobulin (IVIG) emerged as the primary regimen, administered in 13 out of the 16 cases. Among the infection-related cases, the most frequent treatment outcome was a partial response in both AIHA and ITP, observed in five of the 11 patients. In the vaccination-related cases, a partial response for AIHA and a complete response for ITP were noted in three of the five patients. Overall, while the evidence points to a temporal association especially between COVID-19 vaccination and the onset of ES, larger studies are necessary to strengthen these findings. In terms of management, early initiation of corticosteroids and IVIG appears effective as first-line therapies; however, standardized treatment protocols are needed to help reduce complications associated with COVID-19-related ES.
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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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.012 | 0.013 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".