Dataset Information

Personal history of gallstones and risk of incident psoriasis and psoriatic arthritis in U.S. women.

ABSTRACT:

Background

Metabolic syndrome has been associated with both gallstones and psoriasis, suggesting a potential biological linkage between gallstones and psoriasis. However, the association between gallstones and psoriasis has not yet been studied.

Objectives

To investigate the association between gallstones and psoriasis.

Methods

This was a prospective cohort study [Nurses' Health Study II (1991-2005)]. Women aged 25-42 years who were free from psoriasis at baseline and who responded to a 2005 follow-up questionnaire regarding their diagnosis of psoriasis were included (n = 89,230). The relative risk (RR) of developing psoriasis or psoriatic arthritis (PsA), which were self-reported and validated by supplemental questionnaires, was measured.

Results

In this population, 2206 participants had gallstones confirmed by a history of cholecystectomy at baseline. A total of 642 individuals had a diagnosis of incident psoriasis, of whom 157 had concomitant PsA. After adjusting for known risk factors of psoriasis besides body mass index (BMI), a baseline history of cholecystectomy-confirmed gallstones was associated with increased risk of psoriasis [multivariate-adjusted RR 2·20, 95% confidence interval (CI) 1·56-3·10] and concomitant PsA (multivariate-adjusted RR 4·41, 95% CI 2·70-7·18). After additionally adjusting for BMI, the fully adjusted RRs associated with a history of cholecystectomy-confirmed gallstones were 1·70 (95% CI 1·20-2·41) for psoriasis and 2·96 (95% CI 1·80-4·89) for PsA.

Conclusions

Personal history of gallstones was associated with an increased risk of psoriasis and PsA, independent of obesity, in a cohort of U.S. women.

SUBMITTER: Tong LX

PROVIDER: S-EPMC4393749 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Personal history of gallstones and risk of incident psoriasis and psoriatic arthritis in U.S. women.

Tong L X LX Wu S S Li T T Qureshi A A AA Giovannucci E L EL Cho E E

The British journal of dermatology 20150215 5

<h4>Background</h4>Metabolic syndrome has been associated with both gallstones and psoriasis, suggesting a potential biological linkage between gallstones and psoriasis. However, the association between gallstones and psoriasis has not yet been studied.<h4>Objectives</h4>To investigate the association between gallstones and psoriasis.<h4>Methods</h4>This was a prospective cohort study [Nurses' Health Study II (1991-2005)]. Women aged 25-42 years who were free from psoriasis at baseline and who r ...[more]

PMID: 25307342

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Project description:BackgroundPsoriatic arthritis (PSA) is an inflammatory joint disease associated with psoriasis (PSO) that can be easily missed. Existing PSA screening tools ignore objective serologic indicators. The aim of this study was to develop a disease screening model and the Psoriatic Arthritis Inflammation Index (PSAII) based on serologic data to enhance the efficiency of PSA screening.MethodA total of 719 PSO and PSA patients from the National Health and Nutrition Examination Survey (NHANES) (as training set and test set) and 135 PSO and PSA patients who were seen at The First Affiliated Hospital of Zhejiang Chinese Medical University (as external validation set) were selected, 31 indicators for these patients were collected as potential input features for the model. Least Absolute Shrinkage and Selection Operator (LASSO) was used to identify PSA-related features. Five models of logistic regression (LR), random forest, k-nearest neighbor, gradient augmentation and neural network were developed in the training set using quintuple cross validation. And we developed PSAII based on the results of LASSO regression and weights of logistic model parameters. All performance metrics are derived on the test set and the external validation set.ResultsFive variables were selected to build models, including age, lymphocyte percentage, neutrophil count, eosinophilic count, and C-reactive protein. In all established models, the LR model performed the best, with an Area Under Curve (AUC) of 0.87 (95% confidence interval (CI): 0.83-0.90) on the test set; on the external validation set the AUC was 0.82 (95%CI: 0.74-0.90). The PSAII formula was PSAII = percentage of lymphocytes × C-reactive protein/(neutrophil count × eosinophilic count × 10). The AUC of PSAII in the test is 0.93 (95%CI: 0.88-0.97), and the cutoff value is 18. The AUC of the external validation set is 0.81 (95%CI: 0.72-0.89).ConclusionsThis study developed and validated five models to assist screening for PSA by analyzing serum data from NHANES and Chinese populations. The LR model demonstrated the best performance. We created PSAII for PSA screening. However, the high false positive rate of PSAII makes it necessary to combine it with other PSA screening tools when applied.

Dataset Information

Personal history of gallstones and risk of incident psoriasis and psoriatic arthritis in U.S. women.

Background

Objectives

Methods

Results

Conclusions

Publications

Personal history of gallstones and risk of incident psoriasis and psoriatic arthritis in U.S. women.

Similar Datasets

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