Vital sign triage to rule out diabetic ketoacidosis and non-ketotic hyperosmolar syndrome in hyperglycemic patients.
To develop a prediction algorithm to rule out diabetic ketoacidosis (DKA) and non-ketotic hyperosmolar syndrome (NKHS) based on vital signs for early triage of patients with diabetes. The subjects were consecutive adult diabetic patients with hyperglycemia (blood glucose >or=250mg/dl) who presented at an emergency department. Based on a derivation sample (n=392, 70% of 544 patients at a hospital in Okinawa), recursive partitioning analysis was used to develop a tree-based algorithm. Validation was conducted using the other 30% of the patients in Okinawa (n=152, internal validation) and patients at a hospital in Tokyo (n=95, external validation). Three risk groups for DKA/NKHS were identified: a high-risk group of patients with glucose >400mg/dl or systolic blood pressure <100mmHg; a low risk group of patients with glucose <or=400mg/dl and normal vital signs (systolic blood pressure >or=100mmHg, pulse <or=90/min, and respiratory rate <or=20/min); and an intermediate risk group. The prevalences of DKA/NKHS were 2% (derivation set), 0% (internal validation set), and 0% (external validation set) in the low risk group, respectively. Our algorithm may help DKA/NKHS triage and patients with normal vital signs can be initially triaged as low risk for DKA/NKHS.