Comparison of CBCT Prescriptions among Different Campuses of East Carolina University School of Dental Medicine.

Objectives: East Carolina University School of Dental Medicine (ECU SoDM) has established a unique education model that delivers the dental curriculum through student rotations at community service learning centers (CSLCs) in underserved areas across North Carolina in their senior year. The objective of the study is to analyze the patient composition and CBCT prescription patterns at the main campus (Ross Hall) and eight CSLCs, to determine if students have comparable training at various sites. Methods: CBCTs taken at ECU SoDM in 2017-2021 were evaluated. One-way analysis of variance and the Wilcoxon Rank Sum Test were used to determine any differences in demographics, Medicaid coverage, and scan indications at various sites. Results: A total of 1444 patients were included, with an age range of 4-90 years old; male 685, female 758; 1130 non-Hispanic/Latino, 71 Hispanic/Latino. For races, Caucasian 1106, African-American 156, American Indian/Alaskan Native 32, Asian 18, mixed 13, other 73. For Medicaid, there are 75 with and 1369 without coverage. Ross Hall has the largest amount of patients at 537, followed by Davidson 218, Brunswick 189, and Lillington 169, with Elizabeth City being the least with 45 patients. The top four reasons for taking CBCTs were implants, endodontics, oral pathology, and 3rd molar assessment. There was no significant difference in the indications for CBCTs or Medicaid coverage, among various sites. Conclusions: The demographics, Medicaid coverage and CBCT prescription patterns were comparable among various sites. There was a site-related difference in the amount of scans taken, warranting the necessity to monitor CSLC rotation selections to ensure a consistent learning experience.

Use of the Dental Electronic Health Record for Research: Assessing Demographic and Oral Health Characteristics Data for Clinic Patients.

Dental schools in the United States increasingly emphasize community-based practice targeting underserved populations. However, the impact on target populations remains largely undocumented. East Carolina University School of Dental Medicine (ECU SoDM) developed an integrated electronic health record database that aggregates patient data from all clinics in the ECU SoDM system and enables longitudinal assessment of the impact of clinical care on oral health outcomes. The aim of this study was to analyze the demographic and oral health characteristics data for eligible patients from June 2012 to March 2016. Data from 28,029 eligible patients were included. Except for expected variations in racial composition, the demographic data were similar across ECU SoDM clinics and indicated that the patient population represents a geographically diverse sample of outpatients. The mean decayed, missing, and filled teeth (DMFT) index was elevated in this population. Among the trends identified across subgroups were higher DMFT index in older patients and lower DMFT index for individuals of Hispanic or Latino ethnicity. Although the percentage of patients with dental caries overall rose steadily with age, the percentage with untreated dental caries generally fluctuated around 33%±5% without age-related trends. These data provide a baseline for evaluating changes over time and the impact of oral health care introduced to areas served by the ECU SoDM. These findings highlight the need for access to care and support the ECU SoDM's core mission.

Conditional survival of heart failure patients after coronary artery bypass grafting.

AIMS: Conditional survival is defined as the probability of surviving an additional number of years beyond that already survived. The aim of this study was to estimate conditional survival in heart failure patients after coronary artery bypass grafting (CABG). METHODS: Heart failure patients with multivessel coronary artery disease undergoing first-time, isolated CABG between 1992 and 2011 were included in this study. Conditional survival estimates were computed for 1, 5, and 10 years after already surviving 0.5, 1, 2, 3, 4, and 5 years. RESULTS: Compared with traditional survival estimates, conditional survival was consistently higher at all time periods. The overall 2-year adjusted survival estimate was 84% compared with the 1-year conditional survival rate of 95% for 1-year survivors. Similarly, the overall 10-year adjusted survival rate was 36% from the time of surgery compared with the 5-year conditional survival of 54% for patients who had survived 5 years. CONCLUSION: Conditional survival provides a more accurate estimate of long-term survival in heart failure patients who have already survived for a certain amount of time after CABG. This information is useful for patients and physicians who manage their long-term care.