The Diagnostic Process for the Evaluation of Acute Abdominal Pain by Resident Trainees in Japan: A Cross-sectional Study

Abstract

Objective Acute abdominal pain (AAP) of diverse etiology is a common chief complaint of patients who present to the emergency department (ED). AAP may pose a diagnostic challenge to physicians in training. We aimed to evaluate whether or not resident trainee doctors examine patients presenting with AAP in a Japanese acute-care hospital following Kendall's diagnostic algorithm. Methods We conducted a retrospective medical chart review from January 2015 to December 2016. Patients Patients ! 50 years old who presented to the ED within 7 days of the onset of AAP who were evaluated by residents at the ED of an acute care hospital were enrolled in this study. Patients transported by ambulance and referred from other hospitals and classified as level 1 or 2 according to the Japanese version of the Canadian Triage and Acuity Scale were excluded. Data, including the clinical history, location and character of pain, and age and gender of patients as well as the level of experience of residents, were abstracted from charts. We evaluated the concordance rate between the actual diagnostic process followed by residents and Kendall's diagnostic algorithm for AAP. Results We analyzed 466 patients (mean age 67.6 years) in the study who were evaluated and diagnosed by 123 residents. The concordance rate between the diagnostic procedures performed by residents and those suggested by Kendall's diagnostic algorithm was 61.2%. A low concordance rate was observed among patients with peritoneal signs, shock or toxic appearance (25.0%), suggested acute coronary syndromes (ACS) (55.1%), epigastric or right upper-quadrant pain (52.8%), and left upper-quadrant pain (55.6%). Abdominal ultrasonography is one of the recommended examinations for patients with signs of peritoneal irritation, shock or toxic appearance, right lower-quadrant pain, and left upper-or lower-quadrant pain, but the rates were relatively low at 25.0%, 34.4%, 31.8%, and 26.7%, respectively. Conclusion Abdominal ultrasonography required by Kendall's diagnostic algorithm was not performed appropriately in patients with symptoms and signs of peritonitis, shock or toxic appearance, right lowerquadrant pain, and left upper-or lower-quadrant pain or in female patients by resident trainees. Our findings underscore the importance of providing resident doctors with focused training concerning ultrasonography by attending physicians.

Machine learning based prediction models for analyzing risk factors in patients with acute abdominal pain: a retrospective study

“…For example, Taichi et al reported a case of acute cerebral infarction caused by colon cancer ( 49 ). The determination of the pain site variable aligns with the quadrant partitioning commonly used in most studies ( 50 , 51 ). Diagnostic imaging and algorithms based on it can facilitate a prompt diagnosis ( 52 , 53 ).…”