Reducing Infection Rates with Enhanced Preoperative Diabetes Mellitus Diagnosis and Optimization Processes.
South Med J
; 116(2): 215-219, 2023 02.
Article
de En
| MEDLINE
| ID: mdl-36724538
OBJECTIVES: Hyperglycemia and increased preoperative hemoglobin A1c (HbA1c) are associated with perioperative morbidity and death. For nonurgent operations, adequate glycemic control before surgery is recommended. Our surgical practice needed a process for preoperative diabetes mellitus (DM) diagnosis and glycemic optimization. METHODS: Our review of the existing preoperative evaluation process found that patients without a DM diagnosis but with random plasma glucose ≥200 mg/dL received no additional screening. Patients with DM routinely receive neither preoperative HbA1c screening nor DM management when HbA1c is ≥8.0%. RESULTS: A new preoperative evaluation process was designed. HbA1c screening was automatically performed for patients with random plasma glucose ≥200 mg/dL. For patients with a DM diagnosis, an HbA1c test was performed. Specialty consultation was prompted for patients with known DM and HbA1c ≥8.0% and those with no DM diagnosis but HbA1c ≥6.5%. In the first year postimplementation, 9320 patients received a basic metabolic panel; 263 had random plasma glucose ≥200 mg/dL that triggered an HbA1c check. In total, 123 patients (99 with and 24 without a DM diagnosis) were referred to endocrinology; 13 received a new DM diagnosis. Twenty patients had surgery delayed for DM treatment. All of the patients received individualized medication instructions for the perioperative period. Among patients with random plasma glucose ≥200 mg/dL, incidence rates for surgical site infection pre- and postimplementation were 47.8/1000 and 3.8/1000 population. CONCLUSIONS: The implemented process benefited patients scheduled for nonurgent procedures by optimizing glucose control and lowering infection rates through earlier preoperative DM diagnosis, glycemic management, and standardized patient medication instruction.
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Sujet principal:
Glycémie
/
Diabète
Type d'étude:
Diagnostic_studies
/
Incidence_studies
/
Prognostic_studies
Limites:
Humans
Langue:
En
Journal:
South Med J
Année:
2023
Type de document:
Article
Pays de publication:
États-Unis d'Amérique