Association between Appendicitis and Incident Systemic Sclerosis

Light gradient boost tree classifier predictions on appendicitis with periodontal disease from biochemical and clinical parameters

INTRODUCTION

Untreated periodontitis significantly increases the risk of tooth loss, often delaying treatment due to asymptomatic phases. Recent studies have increasingly associated poor dental health with conditions such as rheumatoid arthritis, diabetes, obesity, pneumonia, cardiovascular disease, and renal illness. Despite these connections, limited research has investigated the relationship between appendicitis and periodontal disease. This study aims to predict appendicitis in patients with periodontal disease using biochemical and clinical parameters through the application of a light gradient boost tree classifier.

METHODS

Data from 125 patient records at Saveetha Institute of Dental College and Medical College were pre-processed and analyzed. We utilized data preprocessing techniques, feature selection methods, and model development approaches to estimate the risk of appendicitis in patients with periodontitis. Both Random Forest and Light Gradient Boosting algorithms were evaluated for accuracy using confusion matrices to assess their predictive performance.

RESULTS

The Random Forest model achieved an accuracy of 94%, demonstrating robust predictive capability in this context. In contrast, the Light Gradient Boost algorithms achieved a significantly higher accuracy of 98%, underscoring their superior predictive efficiency. This substantial difference highlights the importance of algorithm selection and optimization in developing reliable predictive models. The higher accuracy of Light Gradient Boost algorithms suggests effective minimization of prediction errors and improved differentiation between appendicitis with periodontitis and healthy states. Our study identifies age, white blood cell count, and symptom duration as pivotal predictors for detecting concurrent periodontitis in acute appendicitis cases.

CONCLUSIONS

The newly developed prediction model introduces a novel and promising approach, providing valuable insights into distinguishing between periodontitis and acute appendicitis. These findings highlight the potential to improve diagnostic accuracy and support informed clinical decision-making in patients presenting with both conditions, offering new avenues for optimizing patient care strategies.

Appendicitis links to the afterward subsequent psoriatic disease occurrence in Taiwan national health insurance research database: A population-based cohort study: Appendicitis links to psoriatic diseases

OBJECTIVE

To investigate the psoriatic disease risk among patients with previous appendicitis.

METHODS

This study was a nationwide population-based case-control study about the association between the psoriatic disease risk among patients with a history of appendicitis in Taiwan. The study population consisted of newly diagnosed psoriatic disease with at least two outpatient visits, and the control group included those patients without psoriatic disease at the same index date. Patients with a previous diagnosis of appendicitis or who underwent appendectomy surgery prior to their psoriatic disease diagnosis were recorded. The odds ratio of psoriatic disease diagnosis in the two groups with and without a history of appendicitis were analyzed and compared.

RESULTS

A total of 48 894 individuals diagnosed with psoriatic disease were matched with 292 656 controls by age and gender. Notably, the proportion of patients with a history of appendicitis or primary appendectomy was significantly elevated among those with psoriatic disease compared with the control cohort (both p < .05). On average, the occurrence of appendicitis preceded the index date by 3.3 ± 2.3 years. Multivariate analysis revealed a heightened incidence rate of psoriatic disease in patients previously diagnosed with appendicitis, periodontal disease, Charlson comorbidity index score (CCIS) ≧1, and ill-defined intestinal infections. This association persisted after adjusting for confounding factors, such as periodontal disease, CCIS, Salmonella, and ill-defined intestinal infections. The odds ratios for psoriatic disease in individuals with a history of appendicitis, periodontal disease, CCIS ≧1, and ill-defined intestinal infections were 1.16, 1.008, 1.69, and 1.23, respectively, with corresponding 95% confidence intervals of 1.03-1.31, 1.05-1.11, 1.65-1.74, and 1.20-1.26. These findings underscore the independent association between appendicitis and subsequent development of psoriatic disease, even after adjusting for relevant comorbidities and potential confounders.

CONCLUSION

Our research illustrates that appendicitis is associated with an increased likelihood of developing a psoriatic disease, despite several limitations. These limitations encompass variables such as dietary and smoking habits, alongside other potential confounding factors that were not fully considered. Moreover, inherent biases in utilizing national health insurance data, such as the absence of laboratory information, as well as the constraints inherent in a retrospective study design, should be acknowledged.

Negative causal exploration of systemic sclerosis: a Mendelian randomization analysis

Systemic sclerosis (SSc), also known as scleroderma, is an autoimmune-related connective tissue disease with a complex and unknown pathophysiological mechanism with genes association. Several articles have reported a high prevalence of thyroid disease in SSc patients, while one study suggested a potential contribution of appendicitis to the development of SSc. To investigate this causal association, we conducted Mendelian randomization (MR) analysis using instrumental variables (IVs) to assess exposure and outcome. In the MR study involving two cohorts, all analyses were conducted using the TwoSampleMR package in R (version 4.3.0). Single nucleotide polymorphisms (SNPs) meeting a statistically significant threshold of 5E-08 were included in the analysis. Multiple complementary approaches including MR-IVW, MR-Egger, weighted median, simple mode, and weighted mode were employed to estimated the relationship between the exposure and outcome. Leave-one-out analysis and scatter plots were utilized for further investigation. Based on the locus-wide significance level, all of the MR analysis consequences manifested no causal association between the risk of appendicitis with SSc (IVW OR 0.319, 95% CI 0.063-14.055, P = 0.966). Negative causal effects of autoimmune thyroiditis (AT) on SSc (IVW OR 0.131, 95% CI 0.816-1.362, P = 0.686), Graves' disease (GD) on SSc (IVW OR 0.097, 95% CI 0.837-1.222, P = 0.908), and hypothyroidism on SSc (IVW OR 1.136, 95% CI 0.977-1.321, P = 0.096) were derived. The reverse MR revealed no significant causal effect of SSc on thyroid disease. According to the sensitivity analysis, horizontal pleiotropy was unlikely to distort the causal estimates. The consequences indicated no significant association between AT, GD, and hypothyroidism with SSc. Similarly, there was no observed relationship with appendicitis.