Implant Treatment in the Predoctoral Clinic: A Retrospective Database Study of 1091 Patients

Purpose: This retrospective study was conducted at the Marquette University School of Dentistry to (1) characterize the implant patient population in a predoctoral clinic, (2) describe the implants inserted, and (3) provide information on implant failures. Materials and Methods: The study cohort included 1091 patients who received 1918 dental implants between 2004 and 2012, and had their implants restored by a crown or a fixed dental prosthesis. Data were collected from patient records, entered in a database, and summarized in tables and figures. Contingency tables were prepared and analyzed by a chi-squared test. The cumulative survival probability of implants was described using a Kaplan-Meier survival curve. Univariate and multivariate frailty Cox regression models for clustered observations were computed to identify factors associated with implant failure. Results: Mean patient age (±1 SD) at implantation was 59.7 ± 15.3 years; 53.9% of patients were females, 73.5% were Caucasians. Noble Biocare was the most frequently used implant brand (65.0%). Most implants had a regular-size diameter (59.3%). More implants were inserted in posterior (79.0%) than in anterior jaw regions. Mandibular posterior was the most frequently restored site (43%); 87.8% of implants were restored using single implant crowns. The overall implant-based cumulative survival rate was 96.4%. The patient-based implant survival rate was 94.6%. Implant failure risk was greater among patients than within patients (p \u3c 0.05). Age (\u3e65 years; hazard ratio [HR] = 3.2, p = 0.02), implant staging (two-stage; HR = 4.0, p \u3c 0.001), and implant diameter (wide; HR = 0.4, p = 0.04) were statistically associated with implant failure. Conclusions: Treatment with dental implants in a supervised predoctoral clinic environment resulted in survival rates similar to published results obtained in private practice or research clinics. Older age and implant staging increased failure risk, while the selection of a wide implant diameter was associated with a lower failure risk

Conflicted scientists: the “shared pool” dilemma of scientific advisory committees

Science advisors play a critical role in government policy making, yet these advisors are often equally attractive to regulated industry. Despite efforts to manage conflicts of interest among science advisors, allegations of conflict frequently plague advisory committee deliberations or outcomes. This article examines what we term the “shared pool” dilemma using data collected from 92 members of 11 US Food and Drug Administration advisory committees. The results suggested science advisors were generally positive about their experiences on advisory committees and viewed the committee process as impartial. Written comments suggested that advisors linked the neutrality of the process to the success of the FDA’s conflict-of-interest procedures. Even so, the advisors acknowledged the challenges associated with recruiting disinterested and qualified scientists to serve on advisory committees, reflecting the shared pool dilemma. Many advisors seemed more troubled about advisors participating when they lacked expertise than when they had minor conflicts of interest

Prospective Relations between Red Blood Cell ω-6 and ω-3 Fatty Acid Composition and Cognitive Function among Older Puerto Rican Adults

Objectives: To examine the association between red blood cell (RBC) ω-6 and ω-3 fatty acid (FA) composition and cognitive function over 2-y follow-up among older U.S. mainland Puerto Ricans. Methods: Data are from the Boston Puerto Rican Health Study (74% female; 57±8 y). RBC membrane FA status was ascertained at baseline. Individual FA were expressed as a percentage of total FA identified. Cognitive function was measured at baseline and at 2-y using the Mini-Mental State Exam (MMSE), where a higher score ranging from 0-30 indicates better function. Cognitive impairment was defined as MMSE scores ≤21, ≤23, and ≤24 for those with less than a 9th grade education, a 9th to 12th grade education, and some college education or higher, respectively. Relations between FA and MMSE scores were examined in 946 participants and incidence of cognitive impairment among those considered to be cognitively normal at baseline (n=639). Results: In multivariate models additionally adjusted for baseline MMSE, total ω-6 FA (quartiles) were associated with lower MMSE score at 2-y (P-trend=0.003). Total ω-3 FA were positively (P-trend=0.04) and the ω-6:ω-3 ratio inversely (P-trend=0.007) related to 2-y MMSE, but these relationships attenuated with adjustment for baseline score. The incidence of cognitive impairment at follow-up was 22%. In multivariate models, a 1% increase in total ω-6 FA related to a 9% greater incidence of cognitive impairment [RR=1.09 (95% CI: 1.00, 1.18), P=0.04]. Total ω-3 FA were inversely related to incident cognitive impairment [RR=0.92 (0.81 to 1.05), P=0.21], whereas the ω-6:ω-3 ratio was positively associated [RR=1.12 (95% CI: 0.98, 1.26), P=0.08]. Conclusions: An objective biomarker of ω-6 FA consumption was associated with poorer cognitive function and incidence of cognitive impairment over 2-y follow-up, suggesting that greater intakes of food sources of ω-6 FA may play a role in cognitive decline among older U.S. mainland Puerto Ricans

Women with a Reduced Ovarian Complement May Have an Increased Risk for a Child with Down Syndrome

Advanced maternal age is the only well-established risk factor for trisomy 21 Down syndrome (DS), but the basis of the maternal-age effect is not known. In a population-based, case-control study of DS, women who reported surgical removal of all or part of an ovary or congenital absence of one ovary were significantly more likely to have delivered a child with DS than were women who did not report a reduced ovarian complement (odds ratio 9.61; 95% confidence interval 1.18–446.3). Because others have observed that women who have had an ovary removed exhibit elevated levels of FSH and similar hallmarks of advanced maternal age, our finding suggests that the physiological status of the ovary is key to the maternal-age effect. In addition, it suggests that women with a reduced ovarian complement should be offered prenatal diagnosis

Air pollution exposure and risk of adverse obstetric and neonatal outcomes among women with type 1 diabetes

Aims/Hypothesis: Women with type 1 diabetes have increased risk for poor obstetric outcomes. Prenatal air pollution exposure is also associated with adverse outcomes for women and infants. We examined whether women with type 1 diabetes are more vulnerable than other women to pollution-associated risks during pregnancy. Methods: In singleton deliveries from the Consortium on Safe Labor (2002-2008), obstetric and neonatal outcomes were compared for women with type 1 diabetes (n=507) and women without autoimmune disease (n=204,384). Preconception, trimester, and whole pregnancy average air pollutant exposure (ozone (O3), carbon monoxide (CO), particulate matter \u3e10 microns (PM10), PM \u3e2.5 microns (PM2.5), sulfur dioxide (SO2), nitrogen oxides (NOx)) were estimated using modified Community Multiscale Air Quality models. Poisson regression models with diabetes*pollutant interaction terms estimated relative risks and 95% confidence intervals for adverse outcomes, adjusted for maternal characteristics and geographic region. Results: For whole pregnancy exposure to SO2, women with type 1 diabetes had 15% increased risk (RR:1.15 95%CI:1.01,1.31) and women without autoimmune disease had 5% increased risk (RR:1.05 95%CI:1.05,1.06) for small for gestational age birth (pinteraction=0.09). Additionally, whole pregnancy O3 exposure was associated with 10% increased risk (RR:1.10 95%CI:1.02,1.17) among women with type 1 diabetes and 2% increased risk (RR:1.02 95%CI:1.00,1.04) among women without autoimmune disease for perinatal mortality (pinteraction=0.08). Similar patterns were observed between PM2.5 exposure and spontaneous preterm birth. Conclusions: Pregnant women with type 1 diabetes may be at greater risk for adverse outcomes when exposed to air pollution than women without autoimmune disease

Measuring Practicing Clinicians’ Information Literacy: An Exploratory Analysis in the Context of Panel Management

BACKGROUND: As healthcare moves towards technology-driven population health management, clinicians must adopt complex digital platforms to access health information and document care. OBJECTIVES: This study explored information literacy, a set of skills required to effectively navigate population health information systems, among primary care providers in one Veterans' Affairs (VA) medical center. METHODS: Information literacy was assessed during an 8-month randomized trial that tested a population health (panel) management intervention. Providers were asked about their use and comfort with two VA digital tools for panel management at baseline, 16 weeks, and post-intervention. An 8-item scale (range 0-40) was used to measure information literacy (Cronbach's α=0.84). Scores between study arms and provider types were compared using paired t-tests and ANOVAs. Associations between self-reported digital tool use and information literacy were measured via Pearson's correlations. RESULTS: Providers showed moderate levels of information literacy (M= 27.4, SD 6.5). There were no significant differences in mean information literacy between physicians (M=26.4, SD 6.7) and nurses (M=30.5, SD 5.2, p=0.57 for difference), or between intervention (M=28.4, SD 6.5) and control groups (M=25.1, SD 6.2, p=0.12 for difference). Information literacy was correlated with higher rates of self-reported information system usage (r=0.547, p=0.001). Clinicians identified data access, accuracy, and interpretability as potential information literacy barriers. CONCLUSIONS: While exploratory in nature, cautioning generalizability, the study suggests that measuring and improving clinicians' information literacy may play a significant role in the implementation and use of digital information tools, as these tools are rapidly being deployed to enhance communication among care teams, improve health care outcomes, and reduce overall costs

Preconception and early pregnancy air pollution exposures and risk of gestational diabetes Mellitus

Background: Air pollution has been linked to gestational diabetes mellitus (GDM) but no studies have evaluated impact of preconception and early pregnancy air pollution exposures on GDM risk. Methods: Electronic medical records provided data on 219,952 singleton deliveries to mothers with (n=11,334) and without GDM (n=208,618). Average maternal exposures to particulate matter (PM) ≤ 2.5μm (PM2.5) and PM2.5 constituents, PM ≤ 10μm (PM10), nitrogen oxides (NOx), carbon monoxide, sulfur dioxide (SO2) and ozone (O3) were estimated for the 3-month preconception window, first trimester, and gestational weeks 1-24 based on modified Community Multiscale Air Quality models for delivery hospital referral regions. Binary regression models with robust standard errors estimated relative risks (RR) for GDM per interquartile range (IQR) increase in pollutant concentrations adjusted for study site, maternal age and race/ethnicity. Results: Preconception maternal exposure to NOX (RR=1.09, 95% CI: 1.04, 1.13) and SO2 (RR=1.05, 1.01, 1.09) were associated with increased risk of subsequent GDM and risk estimates remained elevated for first trimester exposure. Preconception O3 was associated with lower risk of subsequent GDM (RR=0.93, 0.90, 0.96) but risks increased later in pregnancy. Conclusion: Maternal exposures to NOx and SO2 preconception and during the first few weeks of pregnancy were associated with increased GDM risk. O3 appeared to increase GDM risk in association with mid-pregnancy exposure but not in earlier time windows. These common exposures merit further investigation

Probing Selectivity and Creating Structural Diversity Through Hybrid Polyketide Synthases

Engineering polyketide synthases (PKS) to produce new metabolites requires an understanding of catalytic points of failure during substrate processing. Growing evidence indicates the thioesterase (TE) domain as a significant bottleneck within engineered PKS systems. We created a series of hybrid PKS modules bearing exchanged TE domains from heterologous pathways and challenged them with both native and non‐native polyketide substrates. Reactions pairing wildtype PKS modules with non‐native substrates primarily resulted in poor conversions to anticipated macrolactones. Likewise, product formation with native substrates and hybrid PKS modules bearing non‐cognate TE domains was severely reduced. In contrast, non‐native substrates were converted by most hybrid modules containing a substrate compatible TE, directly implicating this domain as the major catalytic gatekeeper and highlighting its value as a target for protein engineering to improve analog production in PKS pathways.Improved catalysis with engineered polyketide synthases: Pairing wild‐type polyketide synthases with non‐native substrates largely failed to produce the anticipated products. A series of hybrid modules bearing heterologous thioesterase domains were generated and employed to alleviate the observed catalytic bottleneck, resulting in the efficient processing of non‐native substrates and an unexpected path to product diversity.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/156208/3/anie202004991-sup-0001-misc_information.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/156208/2/anie202004991_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/156208/1/anie202004991.pd

Probing Selectivity and Creating Structural Diversity Through Hybrid Polyketide Synthases

Engineering polyketide synthases (PKS) to produce new metabolites requires an understanding of catalytic points of failure during substrate processing. Growing evidence indicates the thioesterase (TE) domain as a significant bottleneck within engineered PKS systems. We created a series of hybrid PKS modules bearing exchanged TE domains from heterologous pathways and challenged them with both native and non‐native polyketide substrates. Reactions pairing wildtype PKS modules with non‐native substrates primarily resulted in poor conversions to anticipated macrolactones. Likewise, product formation with native substrates and hybrid PKS modules bearing non‐cognate TE domains was severely reduced. In contrast, non‐native substrates were converted by most hybrid modules containing a substrate compatible TE, directly implicating this domain as the major catalytic gatekeeper and highlighting its value as a target for protein engineering to improve analog production in PKS pathways.Improved catalysis with engineered polyketide synthases: Pairing wild‐type polyketide synthases with non‐native substrates largely failed to produce the anticipated products. A series of hybrid modules bearing heterologous thioesterase domains were generated and employed to alleviate the observed catalytic bottleneck, resulting in the efficient processing of non‐native substrates and an unexpected path to product diversity.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/156161/2/ange202004991-sup-0001-misc_information.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/156161/1/ange202004991.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/156161/3/ange202004991_am.pd