Evidence map›Paper›PMID 41157267›Full record

ArticleLife (Basel, Switzerland)2025

Early Postoperative Hyperglycemia After Arthroplasty in Type 2 Diabetes: Insights from Continuous Glucose Monitoring and Identification of Predictive Glycemic Parameters.

Toshiyuki Tateiwa, Jumpei Shikuma, Yasuhito Takahashi, Itaru Nakamura, Hajime Matsumura, Ryo Suzuki, Kengo Yamamoto

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Article in Life (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Toshiyuki TateiwaDepartment of Orthopedic Surgery, Tokyo Medical University, Tokyo 160-0023, Japan.ORCID 0000-0002-2693-3576
Jumpei ShikumaDepartment of Diabetes, Metabolism and Endocrinology, Tokyo Medical University, Tokyo 160-0023, Japan.ORCID 0000-0001-6531-2388
Yasuhito TakahashiDepartment of Orthopedic Surgery, Tokyo Medical University, Tokyo 160-0023, Japan.ORCID 0000-0001-8432-339X
Itaru NakamuraDepartment of Infection Prevention and Control, Tokyo Medical University Hospital, Tokyo 160-0023, Japan.
Hajime MatsumuraDepartment of Plastic and Reconstructive Surgery, Tokyo Medical University, Tokyo 160-0023, Japan.ORCID 0000-0001-8788-7684
Ryo SuzukiDepartment of Diabetes, Metabolism and Endocrinology, Tokyo Medical University, Tokyo 160-0023, Japan.
Kengo YamamotoDepartment of Orthopedic Surgery, Tokyo Medical University, Tokyo 160-0023, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes mellitus is a well-established risk factor for surgical site infections (SSIs), particularly periprosthetic joint infections (PJIs) following joint arthroplasty. Although strict glycemic control in the early postoperative period is critical, few studies have evaluated glycemic dynamics using continuous glucose monitoring (CGM) in this setting. This study aimed to characterize early postoperative glycemic patterns using CGM in patients with type 2 diabetes mellitus undergoing lower extremity arthroplasty and to identify factors associated with postoperative hyperglycemia.

methodsWe retrospectively analyzed 41 patients with type 2 diabetes who underwent total hip or knee arthroplasty. CGM was used to monitor glucose levels continuously for 48 h after surgery. All patients received standard glycemic management based on a sliding-scale insulin protocol. Patients were classified into two groups: normoglycemia (glucose consistently < 200 mg/dL) and hyperglycemia (glucose ≥ 200 mg/dL at least once within 48 h). Univariable and multivariable logistic regression analyses were conducted to identify predictors of postoperative hyperglycemia.

resultsHyperglycemia occurred in 65.9% of all patients. Univariable analysis identified fasting plasma glucose (FPG), mean postoperative glucose, number of antidiabetic medications, and glucose variability as significant predictors (

conclusionsCGM revealed a high incidence of early postoperative hyperglycemia despite conventional sliding-scale insulin therapy. These findings highlight the limitations of current glycemic protocols and underscore the potential of CGM as a diagnostic tool to guide individualized glucose management. Future studies should evaluate whether CGM-guided interventions can improve surgical outcomes, particularly in reducing SSI risk among high-risk diabetic patients.

Indexed as

continuous glucose monitoringglycemic variabilitylower extremity arthroplastypostoperative glycemic controltype 2 diabetes mellitus

Identifiers

PMID41157267
PMCPMC12565546

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.