Diagnosis and Management of Systemic Lupus Erythematosus: A Case Report
Bibliographic record
Abstract
Systemic lupus erythematosus (SLE) is a multisystem inflammatory disease with a broad clinical presentation, which is principally difficult to diagnose across the emergency departments (EDs). The immune system of the body in this disease mistakenly damages or attacks healthy tissues. Majority of the patients suffering from SLE tend to develop “secondary heart disease” once in a while throughout the course of their primary illness. This study aimed to report a case of a previously healthy 9-year-old Saudi female who presented with rheumatic fever and congestive heart failure accompanied by productive cough, chest, abdomen, and back pain. A 9-year-old Saudi female was presented to the emergency department with a history of progressive rheumatic fever, iron deficiency anemia, and pain in chest with productive cough. Examination revealed that patient felt extremely ill, pale, afebrile, with a loss of appetite, tachycardic, high grade fever (39 °C), tachypneic, and a peripheral oxygen saturation of 95% on 40% supplemented oxygen” with low blood pressure 105/70 was noted. The patient was assumed to be diagnosed with probable SLE. We started our patient on methylprednisolone, omeprazole, and prednisolon and noticed sustained improvements. Multisystemic and acute life-threatening conditions should arise the suspicion of autoimmune diseases, predominantly SLE in the ED. SLE treatment shall be planned separately with consideration to utilize the “best-suited therapy” for targeting the organ systems affected. Lack of an explicit biological marker, disease heterogeneity, as well as absence of a specific outcome measurement for improvement makes this procedure harder. J Med Cases. 2017;8(5):163-166 doi: https://doi.org/10.14740/jmc2782w
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".