ArticleScientific reports2024
The prognostic impact of stress hyperglycemia ratio for all-cause mortality in patients with Psoriasis.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Relationship between stress hyperglycaemic ratio (SHR) and critical illness: a systematic review.Cardiovascular diabetology · 2025Pooled it
- Stress Hyperglycemia Ratio as a Predictor of All-Cause and Cardiovascular Mortality in the General Population: Insights From NHANES 2001-2018.International journal of endocrinology · 2026Article
- Dietary approaches in dermatological disorders: mechanisms and clinical relevance.Postepy dermatologii i alergologii · 2026Review
- U-shaped association of the stress hyperglycemia ratio with all-cause mortality and premature death in patients with cardiovascular disease: a cohort study.Diabetology & metabolic syndrome · 2025Article
- Stress hyperglycemia ratio and risk of incident myocardial infarction in the general population: a large-scale cohort study.Frontiers in nutrition · 2025Article
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4 authors.
Funding
Abstract
Aims The stress hyperglycemia ratio (SHR) is a valuable biomarker of acute hyperglycemia, significantly correlated with unfavorable prognosis in various conditions. However, its impact on Psoriasis has not been studied. We explored the association between SHR and long-term mortality in psoriasis patients. Methods We conducted a prospective cohort study with 288 psoriasis patients from the 2003-2006 and 2009-2014 NHANES. Participants were divided into three groups based on SHR tertiles: T1 (SHR ≤ 0.870), T2 (SHR 0.870-0.958), and T3 (SHR ≥ 0.958). Cox regression and Kaplan-Meier analyses assessed the correlation between SHR and mortality, while restricted cubic splines explored non-linear correlations. ROC analyses determined the optimal SHR cut-off value for predicting clinical outcomes. Results Out of 288 Psoriasis patients, 38 all-cause deaths occurred during an average follow-up of 112.13 ± 45.154 months. Kaplan-Meier analysis indicated that higher SHR values were linked to an increased risk of all-cause mortality (log-rank P = 0.049). A U-shaped relationship was observed between SHR and all-cause mortality (P for non-linear = 0.028). Spearman correlation revealed significant associations between SHR and WC, BMI, neutrophil, monocyte, lymphocyte counts, SCr, uric acid, DM and MetS (all P < 0.05). After adjusting for confounders, multivariate Cox regression showed that SHR was associated with a 10.937-fold risk of all-cause mortality. ROC curve analysis identified an optimal SHR cut-off value of 1.045 for predicting long-term all-cause mortality in psoriasis patients. Conclusions Elevated SHR value independently correlates with all-cause mortality in Psoriasis patients, displaying a U-shaped relationship with clinical endpoints. An optimal SHR cut-off value of 1.045 has been determined for predicting clinical outcomes.
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