Association between the disease severity and quality of life of patients with psoriasis in a tertiary government hospital in the Philippines: A retrospective cross-sectional study
Bibliographic record
Abstract
Association between the disease severity and quality of life of patients with psoriasis in a tertiary government hospital in the Philippines: A retrospective cross-sectional study To the Editor: Psoriasis results to physical, psychological, social, and economic impact to patients.Information on the disease severity, demographics, and clinical characteristics of patients has a bearing on the behavior, prognosis, and treatment of the disease.An analytical cross-sectional study was conducted involving patients with psoriasis in Rizal Medical Center, a tertiary government hospital in the Philippines.Psoriasis Area and Severity Index, Dermatology Life Quality Index (DLQI), and demographic and clinical characteristics of patients were obtained to identify predictor variables of PASI and DLQI.The study included 155 patients with psoriasis using a total enumeration sampling technique.A total of 57.4% had moderate to severe disease, and 63.9% concluded that the disease had very large to extremely large effect on their quality of life.Psoriatic arthritis worsened the severity of the disease (Table I).In contrast, age, presence of comorbidities such as hypertension, dyslipidemia, cardiovascular disease, depression, family history, and psoriatic arthritis worsened the quality of life of patients (Table II).Results showed that joint involvement has a strong association with disease severity.This can be supported by studies that suggest that patients with high skin severity are twice more likely to have increased joint involvement.1 Patients with joint and nail involvement also had higher DLQI scores because psoriatic arthritis could contribute to disability or physical limitation.The visible disfigurement caused by psoriasis heavily impacts the emotional and psychological well-being of patients.In this study, ages 19 to 30 years and ages 51 to 60 years were significantly correlated to lower quality of life.Psoriasis usually causes body image dissatisfaction and lower self-esteem especially for younger patients, which is highlighted by social media's beauty standards.2 Meanwhile, for elderlies, they usually fear that the disease is transmissible, so they stay away from their families and friends, and Key words: comorbidities; disease severity;
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".