Artritis psoriásica, respuesta al tratamiento y cambio en la calidad de vida en población atendida en un centro de referencia en Medellín
Bibliographic record
Abstract
Objective: psoriatic arthritis, as a manifestation of psoriatic disease, is a chronic and inflammatory condition, with articular symptoms, dactylitis, enthesitis and changes in the skin and nails. Despite the existence of various treatment recommendations, the factors determining the treatment response in the Latin American population have not been clarified. The aim of this study was to describe the characteristics of patients with psoriatic arthritis and identify the differences in the response to treatment and its impact on quality of life in a medical center in Medellín.Methods: medical records of 114 patients with psoriatic disease and arthritis were analyzed to evaluate sociodemographic, clinical, treatment, and clinimetric variables. A univariate analysis was carried out for quantitative and qualitative variables and a bivariate analysis was carried out to evaluate differences between variables, comparing them using the Chi-squared test.Results: a significant difference was observed between affiliation to the EPS contribu-tory regime (p 0.041) and initial treatment with biologicals (p 0.044). There is a negative association between psoriasis vulgaris and axial arthritis (OR 0.11; 95 % CI 0.0269–0.476; p< 0.001) and between nail psoriasis and axial arthritis (OR 0.20; 95 % CI 0.0567–0.767; p=0.011). High levels of total and LDL cholesterol were related to a lower probability of achieving a 90 % of improvement according to the scale PASI 90 (p<0.05). Lower hemoglobin is related to worse therapeutic response (p<0.05).Conclusion: men were the most affected with a higher association with comorbidities and cardiovascular risk. Methotrexate is the most used medication associated with an improvement in quality of life. Biological medications were positively associated with achieving a PASI 90 goal.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".