Acute Lumbar Spinal Pseudogout Attack After Instrumented Surgery
Bibliographic record
Abstract
In Brief Study Design. A case report. Objective. An elderly patient presented with an acute lumbar spinal pseudogout attack after lumbar instrumented surgery. Summary of Background Data. Although gout and pseudogout are common diseases causing inflammatory arthropathy in peripheral joints, involvement of the spine is uncommon. Here, we report a patient experiencing an acute lumbar spinal pseudogout attack after lumbar instrumented surgery. Methods. The patient was treated for lumbar spondylolisthesis at L4 and L5 level and afterward complained of lower back and bilateral leg pain. Conservative treatment was not effective for the patient; therefore, we preformed posterior transforaminal lumbar interbody fusion surgery. Results. The postoperative course was uneventful; however, he experienced lower back pain 4 weeks after surgery. Magnetic resonance image showed changes in signal intensities of vertebra and fluid accumulation in posterior back muscles. A biopsy was performed, but the culture was negative for infection. Calcium pyrophosphate dehydrate was detected in the fluid. Thus, conservative therapy without antibiotics was performed, and the patient's symptoms disappeared within 2 weeks. Conclusion. Here, we reported the first case of acute lumbar spinal pseudogout attack after lumbar instrumented surgery. We recommend considering pseudogout before and after surgery. A patient with lumbar spondylolisthesis at L4 and L5 underwent lumbar posterior instrumented surgery. Four weeks after surgery, he showed lower back pain. Calcium pyrophosphate dehydrate was detected in fluid from the back muscles and a diagnosis of acute pseudogout was made. Symptoms disappeared within 2 weeks without specific treatment.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".