Literature DB >> 25370321

Early Identification of Individuals with Poorly Controlled Diabetes Undergoing Elective Surgery: Improving A1C Testing in the Preoperative Period.

Patricia Underwood1, Johanna Seiden2, Kyle Carbone2, Bindu Chamarthi2, Alexander Turchin3, Angela M Bader4, Rajesh Garg2.   

Abstract

OBJECTIVE: To describe a process improvement strategy that increased the identification of individuals with poorly controlled diabetes (glycated hemoglobin [A1C] ≥8%) undergoing elective surgery at a major academic medical center and increased their access to specialist care.
METHODS: An algorithm was developed to ensure A1C measurements were obtained as per the American Association of Clinical Endocrinologists/American Diabetes Association (AACE/ADA) guidelines. The diabetes management team worked collaboratively with anesthesiologists, surgeons, and preoperative nurse practitioners to improve the glycemic control of patients with an A1C ≥8%.
RESULTS: Before implementing the program, A1C testing was recorded in 854 out of 2,335 (37%) patients with diabetes seen in the preoperative clinic from January 1, 2011 to December 31, 2012. The program was instituted in February 2013. From February 2013 to February 2014, A1C testing occurred in 1,236 out of 1,334 (93%) patients with diabetes. After excluding those scheduled for same day surgery, 228 patients were considered high risk with A1C ≥8%, and 175 were available for endocrine preoperative consultation. The program led to significant blood glucose level improvements on the day of surgery.
CONCLUSION: A process improvement strategy to evaluate and treat diabetes in the preoperative period of elective surgery patients was implemented by a multidisciplinary team (endocrinologists, nurse practitioners, anesthesiologists, and surgeons) and resulted in a substantial improvements in obtaining A1C tests, access to specialist diabetes care, and glycemic control on the day of surgery. The impact of improved glycemic control on hospital and surgical outcomes needs further evaluation.

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Year:  2015        PMID: 25370321     DOI: 10.4158/EP14228.OR

Source DB:  PubMed          Journal:  Endocr Pract        ISSN: 1530-891X            Impact factor:   3.443


  5 in total

Review 1.  Perioperative Management of Diabetes Mellitus: Novel Approaches.

Authors:  Nadine E Palermo; Rajesh Garg
Journal:  Curr Diab Rep       Date:  2019-02-26       Impact factor: 4.810

2.  Predictive model and risk engine web application for surgical site infection risk in perioperative patients with type 2 diabetes.

Authors:  Masaya Koshizaka; Ryoichi Ishibashi; Yukari Maeda; Takahiro Ishikawa; Yoshiro Maezawa; Minoru Takemoto; Koutaro Yokote
Journal:  Diabetol Int       Date:  2022-05-19

Review 3.  The Emory University Perioperative Algorithm for the Management of Hyperglycemia and Diabetes in Non-cardiac Surgery Patients.

Authors:  Elizabeth W Duggan; Matthew A Klopman; Arnold J Berry; Guillermo Umpierrez
Journal:  Curr Diab Rep       Date:  2016-03       Impact factor: 4.810

4.  Relationship between the timing of preoperative medical visits and day-of-surgery glucose in poorly controlled diabetes.

Authors:  Salma I Patel; Bithika M Thompson; Ryan Y McLemore; M'hamed Temkit; Richard T Schlinkert; Heidi A Apsey; Curtiss B Cook
Journal:  Future Sci OA       Date:  2016-06-02

Review 5.  Preoperative measures to prevent/minimize risk of surgical site infection in spinal surgery.

Authors:  Nancy E Epstein
Journal:  Surg Neurol Int       Date:  2018-12-11
  5 in total

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