Measuring and improving quality in esophageal care and swallowing disorders.

Evaluating clinical care through quality-related metrics is increasingly common. There are now numerous quality statements and indicators related to the medical management of benign and pre-malignant esophageal diseases. Expert consensus leveraging evidence-based recommendations from published society guidelines has been the most frequently used basis for developing esophageal quality statements. While surgical care of patients with esophageal malignancies, including squamous cell carcinoma, has also been developed, those related to benign esophageal disease now include domains of diagnosis, treatment, and monitoring for gastroesophageal reflux disease, eosinophilic esophagitis (EoE), achalasia, and Barrett's esophagus (BE). Several recent studies evaluating adherence to quality metrics affirm substantial variation in practice patterns with opportunities for improvement in care across esophageal diseases. In particular, patient education regarding treatment options in achalasia, frequency of esophageal biopsies among patients with dysphagia to evaluate for EoE, and endoscopic evaluation within a BE segment are areas identified to have need for improvement. As the management of esophageal diseases becomes more complex and interdisciplinary, adherence to quality metrics may be a source of standardization and improvement in delivery and ultimately patient outcomes. Indeed, the development of national quality databases has resulted in a significant growth in the use of these metrics for quality improvement activities and may form the basis for future inclusion in quality reporting and payment programs.

Evaluation of the Potential Utility of an Artificial Intelligence Chatbot in Gastroesophageal Reflux Disease Management.

INTRODUCTION: Artificial intelligence chatbots could serve as an information resource for patients and a tool for clinicians. Their ability to respond appropriately to questions regarding gastroesophageal reflux disease is unknown. METHODS: Twenty-three prompts regarding gastroesophageal reflux disease management were submitted to ChatGPT, and responses were rated by 3 gastroenterologists and 8 patients. RESULTS: ChatGPT provided largely appropriate responses (91.3%), although with some inappropriateness (8.7%) and inconsistency. Most responses (78.3%) contained at least some specific guidance. Patients considered this a useful tool (100%). DISCUSSION: ChatGPT's performance demonstrates the potential for this technology in health care, although also its limitations in its current state.

Hypophosphatemia as a Predictor of Clinical Outcomes in Acute Pancreatitis: A Retrospective Study.

OBJECTIVE: Phosphate is crucial for cellular repair after injury and may be important in recovery following acute pancreatitis (AP). This study aimed to evaluate the association between hypophosphatemia and severity of AP. METHODS: Patients admitted with AP between 2014-2018 were identified and their records were retrospectively reviewed. Pancreatitis severity was defined using the modified Atlanta Criteria. Hypophosphatemia was defined as phosphate <2 mg/dL and was assessed at three time points: within one day, within two days, at any time during admission. The proportion of patients who developed severe AP was compared between patients with and without hypophosphatemia. RESULTS: Of 312 patients, 30.1% (n = 94) developed severe AP. Hypophosphatemia occurred in 25.0% overall, within one day in 19.7%, and within two days in 20.0%. A higher proportion of patients with hypophosphatemia developed severe AP (overall: 47.4% vs. 24.4%, P < 0.001; one day: 47.4% vs. 23.9%, P = 0.004; two days: 42.9% vs. 24.5%, P = 0.01). Patients with hypophosphatemia within one day were also more likely to have ICU admission ( P < 0.001) and longer length of stay ( P < 0.001). CONCLUSIONS: Early hypophosphatemia during an admission for AP was associated with increased AP severity, ICU admission, and longer length of stay.