Lindekjeldsen5052

Cefazolin is a feasible empiric antibiosis for odontogenic neck infections descending from the lower jaw if surgical drainage is performed.

Cefazolin is a feasible empiric antibiosis for odontogenic neck infections descending from the lower jaw if surgical drainage is performed.

Research studies suggest that polycystic ovary syndrome (PCOS) may influence the composition of the oral microflora in women. This study aimed to investigate factors affecting the number of selected periopathogens in a young cohort of females with PCOS and to assess the association between oral hygiene, subgingival microbiome, gingival health, and metabolic and hormonal parameters.

Thirty-two subjects with PCOS and twenty-three healthy controls aged 15-19years were examined periodontally by a calibrated dentist. A real-time PCR method was used for the identification of 9 subgingival microorganisms. Subjects with PCOS underwent blood tests for determination of FSH, LH, total testosterone, DHEA-S, estradiol, SHBG, fasting glucose, fasting insulin, and lipid profile.

Gingival index (GI), the proportion of bleeding sites (BOP%), probing depth (PD), and plaque index (PLI) did not differ significantly between cases and healthy age-mates. The control group had significantly higher levels of Peptostreptococcus micros and substantially greater percentage of subjects infected by Treponema denticola. Capnocytophaga gingivalis count was positively correlated with the level of estradiol, while the concentration of HDL-C was negatively correlated with the number of Aggregatibacter actinomycetemcomitans and orange complex bacteria.

PCOS in young patients was not associated with higher pathogenicity of subgingival biofilms.

Further studies are needed to explain the relationship between hormonal and metabolic abnormalities, subgingival microflora, and periodontal health in patients with PCOS.

Further studies are needed to explain the relationship between hormonal and metabolic abnormalities, subgingival microflora, and periodontal health in patients with PCOS.

(1) To evaluate the effectiveness of the static-guided (SG) endodontics technique for accessing the root canal through the mineral trioxide aggregate (MTA) and (2) to evaluate the effect of this technique on the fracture strength of teeth.

Thirty mandibular premolars were used in the present study. After standard coronal access cavity preparation, root canals were prepared up to size #80 to simulate an immature root apex. White MTA was placed approximately 3 mm below the cementoenamel junction (CEJ), as placed in regenerative endodontic procedures. After the MTA had set, the cavity was restored with a resin composite material. The teeth were randomly divided into two groups (n = 15). In the control group, the composite resin and MTA were removed without any guide. In the SG-access group, a cone beam computed tomography (CBCT) scan was performed, 3D-printed guides were designed and fabricated, and then the composite resin and MTA were removed with a guide. One inexperienced operator performed the removal oy, the SG endodontic technique yielded favorable results with respect to time, mishaps, and fracture strength.

The static-guided endodontics technique may provide advantages to the clinician for MTA removal.

The static-guided endodontics technique may provide advantages to the clinician for MTA removal.

To evaluate the efficacy of an edible artificial saliva gel, oral moisturizing jelly (OMJ), and a topical commercial gel (GC dry mouth gel) on Candida colonization and saliva properties.

This study was a secondary analysis of a single-blinded randomized controlled trial conducted in xerostomic post-radiotherapy head and neck cancer patients. Candida colonization, stimulated salivary flow rate (SSFR), saliva pH, and buffering capacity (BC) were measured at 0, 1, and 2months after each intervention. Candida colonization was quantified by colony counts and species identified by Candida Chromagar, polymerase chain reaction, and API 20C AUX system. Statistical significance level was 0.05.

A total of 56 participants in OMJ (N= 30) and GC (N= 26) groups completed the study. OMJ significantly increased saliva pH (p= 0.042) and BC (p= 0.013) after 1-month use, while GC only improved saliva pH (p= 0.027). Both interventions tended to increase SSFR but only GC had a significant increase at 2months (p= 0.015). GC and OMJ significantly decreased the number of Candida species at 1 and 2months, respectively. Both groups tended to reduce Candida counts but not significant.

Both OMJ and GC saliva gels could improve saliva pH and decrease the number of Candida species. OMJ is superior to GC in its buffering capacity, while GC may better improve salivary flow rate. Long-term and large-scale study is warranted to test the efficacy of artificial saliva in oral health improvement.

OMJ and GC gel could decrease the number of Candida species and improve saliva properties in post-radiation xerostomic patients.

Clinicaltrials.gov NCT03035825. Date of registration 25th January 2017.

Clinicaltrials.gov NCT03035825. Date of registration 25th January 2017.

To develop and evaluate predictive nomogram for extended duration of surgery in patients following mandibular third molars (M3M) removal.

A retrospectively observational study was performed and designed. A credible random split-sample method was used to divide data into training and validation dataset (split ratio = 0.70.3). this website Least absolute shrinkage and selection operator (Lasso) logistic regression was applied to select predictors and develop the nomogram. The discrimination of the nomogram was assessed using the receiver operating characteristic (ROC) curve, and the calibration curve was used for evaluating the accuracy of prediction. The clinical usefulness of nomogram was also evaluated with decision curve analysis.

Root of curve, Winter classification, Pell-Gregory ramus classification, flap design, procedure, and surgical experience were identified as predictors and assembled into the nomogram. The nomogram showed good discrimination with AUC in training dataset (0.79, 95% CI 0.73-0.85) and validation dataset (0.