Microbial colonization patterns predict the outcomes of surgical treatment of intrabony defects

Heitz-Mayfield, Lisa; Tonetti, Maurizio S; Cortellini, Pierpaolo; Lang, Niklaus Peter; European Research Group on Periodontology, (ERGOPERIO) (2006). Microbial colonization patterns predict the outcomes of surgical treatment of intrabony defects. Journal of clinical periodontology, 33(1), pp. 62-68. Frederiksberg (DK): Wiley 10.1111/j.1600-051X.2005.00872.x

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AIM: To explore the impact of bacterial load and microbial colonization patterns on the clinical outcomes of periodontal surgery at deep intrabony defects. MATERIALS AND METHODS: One hundred and twenty-two patients with advanced chronic periodontitis and at least one intrabony defect of >3 mm were recruited in 10 centres. Before recruitment, the infection control phase of periodontal therapy was completed. After surgical access and debridement, the regenerative material was applied in the test subjects, and omitted in the controls. At baseline and 1 year following the interventions, clinical attachment levels (CAL), pocket probing depths (PPD), recession (REC), full-mouth plaque scores and full-mouth bleeding scores were assessed. Microbial colonization of the defect-associated pocket was assessed using a DNA-DNA checkerboard analysis. RESULTS: Total bacterial load and counts of red complex bacteria were negatively associated with CAL gains 1 year following treatment. The probability of achieving above median CAL gains (>3 mm) was significantly decreased by higher total bacterial counts, higher red complex and T. forsythensis counts immediately before surgery. CONCLUSIONS: Presence of high bacterial load and specific periodontal pathogen complexes in deep periodontal pockets associated with intrabony defects had a significant negative impact on the 1 year outcome of surgical/regenerative treatment.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > School of Dental Medicine > Department of Periodontology

UniBE Contributor:

Heitz-Mayfield, Lisa, Lang, Niklaus Peter

Subjects:

600 Technology > 610 Medicine & health

ISSN:

0303-6979

Publisher:

Wiley

Submitter:

Eveline Carmen Schuler

Date Deposited:

04 Oct 2013 14:51

Last Modified:

05 Dec 2022 14:15

Publisher DOI:

10.1111/j.1600-051X.2005.00872.x

PubMed ID:

16367858

Web of Science ID:

000233817700010

BORIS DOI:

10.7892/boris.21607

URI:

https://boris.unibe.ch/id/eprint/21607 (FactScience: 8292)

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