Comorbidities among Egyptian systemic lupus erythematosus: The COMOSLE-EGYPT study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective To study the prevalence and impact of comorbidities among a cohort of patients with systemic lupus erythematosus (SLE). Methods This study is retrospective, multicenter including 902 Egyptian patients with SLE. Medical records were reviewed for demographic data, clinical characteristics, routine laboratory findings, immunological profile, and medications. Moreover, SLE Disease Activity Index (SLEDAI), and the Systemic Lupus International Collaborating Clinics/American College Rheumatology Damage Index scores were calculated. Results Comorbidities were found in 75.5% of the studied group with hypertension and dyslipidemia as the most frequent comorbidities (43.1% and 40.1%, respectively), followed by sicca features, avascular necrosis, diabetes, osteoporosis and renal failure (11.5%,9%, 9%,8.9%, and 7.1%, respectively). Multivariate regression model showed statistically significant relation between the presence of comorbid condition and each of age ( P = 0.006), disease duration ( P = 0.041), SLEDAI at onset ( P < 0.001), cyclophosphamide intake ( P = 0.001), and cumulative pulse intravenous methylprednisone ( P < 0.001). Also, when adjusted to age and sex, those with multiple comorbid conditions had 18.5 increased odds of mortality compared to those without comorbidities (odds ratio (OR), 95% confidence interval (CI) = 18.5 (6.65–51.69)]. Conclusion Patients with SLE suffer from several comorbidities, with an increasing risk with age, longer disease duration, higher SLEDAI at onset, cyclophosphamide intake and cumulative pulse intravenous methylprednisone. Risk of mortality is exponentiated with multiple comorbidities.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it