ArticleClinical oral investigations2023
Impact of oral/dental disease burden on postoperative infective complications: a prospective cohort study.
Article in Clinical oral investigations, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Enhancing Healing in Oral Surgical Procedures: A Review on Biomaterials, Growth Factors, and Tissue Engineering.Cureus · 2026Review
- Preoperative Professional Tooth Cleaning as a Preventive Measure for Postoperative Pneumonia in OSCC Patients: A Retrospective Study.Oral diseases · 2026Article
- Impact of Perioperative Oral Care on the Length of Hospital Stay in Cardiovascular Surgery Patients.Oral health & preventive dentistry · 2026Article
- Injectable bioactive scaffold able to stimulate oral bone regeneration on demand.Journal of materials science. Materials in medicine · 2025Article
- Factors Associated with Depression, Anxiety, and Sleep Disturbance Among Patients with Moderate-to-Severe Chronic Pain: A Multicenter Cross-Sectional Study.Journal of pain research · 2025Article
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6 authors.
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Abstract
objectivesThis prospective cohort study aimed to assess the association between dental disease burden and postoperative infective complications (POICs) in patients undergoing major surgical procedures under general anaesthesia.
methodsPre-surgical dental assessment was undertaken on patients planned for major surgery. Demographic and surgical variables including putative risk factors for POICs and POIC status were documented. The univariable association between POIC status and each factor was examined. Those variables associated at P value ≤ 0.2 were candidates for inclusion in multiple logistic regression models. Backward stepwise variable selection was used to identify the independent predictors for POIC in the best fitting logistic regression model. The area under the receiver operating curve (AUC) was used to quantify the model's global classification performance.
resultsAmong the 285 patients, 49 patients (17.2%) had POICs. The independent predictors for POIC were expected length of hospital stay (4-6 days; odds ratio [OR] = 4.80, 95% confidence internal [CI]: 1.30-17.70, P = 0.018, 7-9 days; OR = 5.42, 95% CI: 1.51-19.41, P = 0.009, ≥ 10 days; OR = 28.80, 95% CI: 4.12-201.18, P < 0.001), four or more decayed teeth (OR = 6.03, 95% CI: 2.28-15.94, P < 0.001) and visible tongue plaque (OR = 3.21, 95% CI: 1.54-6.70, P = 0.002). The AUC was 0.78 (95% CI: 0.71-0.85) indicating good discrimination. A simple screening tool for POIC was developed. CONCLUSIONS/CLINICAL RELEVANCE: In addition to systemic/surgical factors, this study identified clinically detected decayed teeth and visible tongue plaque as independent predictors for POICs. Preoperative dental assessment/care might be beneficial to assess risk for POICs and improve postoperative outcomes.
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