The co-impact of diabetes and psoriasis on mortality risk for all causes and specific causes

Diabetes and psoriasis are known to increase the risk of each other, yet their combined impact on long-term mortality remains unclear. This prospective cohort study examined the associations between the coexistence of diabetes and psoriasis and all-cause and cause-specific mortality in a nationally representative sample of U.S. adults. Data were obtained from 16,852 participants in the National Health and Nutrition Examination Surveys (NHANES). Survival was assessed using the Kaplan-Meier method, and a weighted Cox proportional hazards model was employed. In fully adjusted models (adjusted for age, sex, race, BMI, smoking status, and comorbidities), individuals with both diabetes and psoriasis demonstrated significantly increased risks of all-cause mortality (hazard ratio [HR]: 1.76, 95% confidence interval [CI]: 1.04-3.00) and cancer-specific mortality (HR: 2.90, 95% CI: 1.28-6.54), but not cardiovascular mortality (HR: 0.87, 95% CI: 0.18-4.35). Comorbidity was significantly associated with elevated risks of all-cause and cancer mortality (P < 0.05). These findings suggest a notable association between the coexistence of these two chronic conditions and elevated overall and cancer mortality risks, while no significant effect was found on cardiovascular mortality. Exploratory analyses also indicated a possible dose-response relationship between psoriasis severity and cardiovascular mortality, warranting further investigation.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-10-27
DOI
https://doi.org/10.1038/s41598-025-21189-x
Primary Topic
Psoriasis: Treatment and Pathogenesis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The co-impact of diabetes and psoriasis on mortality risk for all causes and specific causes

Xiaohong Chen, Na Liu
Scientific Reports
Psoriasis: Treatment and Pathogenesis
article

The co-impact of diabetes and psoriasis on mortality risk for all causes and specific causes

Xiaohong Chen, Na Liu
article en

Abstract

Diabetes and psoriasis are known to increase the risk of each other, yet their combined impact on long-term mortality remains unclear. This prospective cohort study examined the associations between the coexistence of diabetes and psoriasis and all-cause and cause-specific mortality in a nationally representative sample of U.S. adults. Data were obtained from 16,852 participants in the National Health and Nutrition Examination Surveys (NHANES). Survival was assessed using the Kaplan-Meier method, and a weighted Cox proportional hazards model was employed. In fully adjusted models (adjusted for age, sex, race, BMI, smoking status, and comorbidities), individuals with both diabetes and psoriasis demonstrated significantly increased risks of all-cause mortality (hazard ratio [HR]: 1.76, 95% confidence interval [CI]: 1.04-3.00) and cancer-specific mortality (HR: 2.90, 95% CI: 1.28-6.54), but not cardiovascular mortality (HR: 0.87, 95% CI: 0.18-4.35). Comorbidity was significantly associated with elevated risks of all-cause and cancer mortality (P < 0.05). These findings suggest a notable association between the coexistence of these two chronic conditions and elevated overall and cancer mortality risks, while no significant effect was found on cardiovascular mortality. Exploratory analyses also indicated a possible dose-response relationship between psoriasis severity and cardiovascular mortality, warranting further investigation.

Scientific ReportsVol. 15(1)
Nanjing Medical University (CN)
Openalex Percentile: Top 68%
Psoriasis: Treatment and Pathogenesis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.