PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 18, 2026Digestive Diseases and Sciences0 citationsOpen Access

Candida Enteritis Diagnoses in the United States: Prevalence and Clinical Insights from a Large Commercial Insurance Database

KBKaitlin BenedictJGJeremy A. W. GoldMPMark Pimentel

Key Points

  • The aim is to describe the characteristics and prevalence of patients diagnosed with Candida-related intestinal illness in the US.
  • Utilized the Merative™ MarketScan® Commercial/Medicare Database
  • Identified patients using Candida enteritis diagnosis codes
  • Analyzed demographics and treatment patterns among patients
  • Identified 3,710 patients with Candida enteritis diagnosis
  • Higher rates observed in women and patients aged 35–44
  • Fatigue and abdominal pain were the most common symptoms
  • Only 6% underwent esophagogastroduodenoscopy for diagnosis
  • 38% were treated with systemic antifungal therapy

Abstract

Abstract Background Candida overgrowth in the small intestine can cause non-specific gastrointestinal symptoms mimicking those of other conditions, making diagnosis challenging. Aims To describe the characteristics of patients with Candida -related intestinal illness in a large US commercial health insurance claims dataset. Methods We used the Merative™ MarketScan® Commercial/Medicare Database to identify patients who received Candida enteritis diagnosis codes. Results We identified 3,710 patients. Rates were higher among women (20.3/100,000), patients ages 35–44 (19.3/100,000) and in the West (28.1/100,000). Fatigue (44%) and abdominal pain (26%) were common symptoms. Few patients (6%) received an esophagogastroduodenoscopy, the preferred diagnostic method, and 38% received systemic antifungal therapy. Conclusions Increased healthcare provider awareness about proper diagnosis and treatment of intestinal Candida overgrowth could be beneficial.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Benedict et al. (2026) studied this question.

synapsesocial.com/papers/69e3216540886becb6540a04https://doi.org/10.1007/s10620-026-09905-7
Ask AI
Helpful
Bookmark
Share
View Full Paper