Evidence map›Paper›PMID 35767043›Full record

ArticleEuropean journal of orthopaedic surgery & traumatology : orthopedie traumatologie2023

The association between diabetes status and postoperative complications for patients receiving ACL reconstruction.

Joseph E Manzi, Theodore Quan, Nicholas Cantu, Frank R Chen, Colleen Corrado, Alex Gu, Sean Tabaie, Teresa Doerre, Matthew J Best

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Article in European journal of orthopaedic surgery & traumatology : orthopedie traumatologie, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Joseph E ManziWeill Cornell Medical College, 1300 York Ave, New York, NY, 10065, USA.
Theodore QuanDepartment of Orthopaedic Surgery, George Washington University School of Medicine and Health Sciences, 900 23rd St NW, Washington, DC, 20037, USA. teddyquan@gwu.edu.
Nicholas CantuMedical College of Georgia at Augusta University, 1120 15th St, Augusta, GA, 30912, USA.
Frank R ChenDepartment of Anesthesiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
Colleen CorradoDepartment of Orthopaedic Surgery, George Washington University School of Medicine and Health Sciences, 900 23rd St NW, Washington, DC, 20037, USA.
Alex GuDepartment of Orthopaedic Surgery, George Washington University School of Medicine and Health Sciences, 900 23rd St NW, Washington, DC, 20037, USA.
Sean TabaieDepartment of Orthopaedic Surgery, Children's National Health System, Washington, DC, USA.
Teresa DoerreDepartment of Orthopaedic Surgery, George Washington University School of Medicine and Health Sciences, 900 23rd St NW, Washington, DC, 20037, USA.
Matthew J BestDepartment of Orthopaedic Surgery, Johns Hopkins, Columbia, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIt is well established that diabetes is associated with complications following surgical procedures across the wide array of surgical subspecialties. The evidence on the effect of diabetes on postoperative outcomes following anterior cruciate ligament (ACL) reconstruction (ACLR), however, is not as robust, and findings have not been consistent. It was hypothesized that patients with diabetes are at increased risk of complications and a higher rate of hospital admission following ACLR.

methodsThe National Surgical Quality Improvement Program database was queried for patients undergoing ACL reconstruction from 2006 to 2019. Two patient cohorts were defined in this retrospective study: patients with diabetes and patients without diabetes. The various patient demographics, medical comorbidities, and postoperative outcomes were compared between the two groups, with the use of bivariate and multivariate analyses.

resultsOf 9,576 patients who underwent ACL reconstruction, 9,443 patients (98.6%) did not have diabetes, whereas 133 patients (1.4%) had diabetes. Following adjustment on multivariate analyses, compared to non-diabetic patients, those with diabetes had an increased risk of admission to the hospital within thirty days of the surgery (OR 2.14; p = 0.002).

conclusionPatients with diabetes have a significantly higher risk of being admitted to the hospital compared to those without the disease. Clinicians should be aware of diabetic patients who undergo ACLR to ensure appropriate pre- and postoperative care to minimize complications in this patient population.

Indexed as

Anterior Cruciate Ligament InjuriesAnterior Cruciate Ligament ReconstructionDiabetes MellitusHospitalizationHumansPostoperative ComplicationsRetrospective StudiesAnterior cruciate ligamentComplicationsDiabetes mellitusReconstruction

Identifiers

PMID35767043

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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 OpenQuestion graph.