Modeling longitudinal oral health status and pneumonia risk: secondary data analyses of an integrated dental-medical cohort.

BACKGROUND: Mounting evidence indicates potential associations between poor oral health status (OHS) and increased pneumonia risk. Relative pneumonia risk was assessed in the context of longitudinally documented OHS. METHODS: Electronic medical/dental patient data captured from 2007 through 2019 were retrieved from the integrated health records of Marshfield Clinic Health Systems. Participant eligibility initiated with an assessment of OHS, stratified into the best, moderate, or worst OHS groups, with the additional criterion of 'no pneumonia diagnosis in the past 90 days'. Pneumonia incidence was longitudinally monitored for up to 1 year from each qualifying dental visit. Models were assessed, with and without adjustment for prior pneumonia incidence, adjusted for smoking and subjected to confounding mitigation attributable to known pneumonia risk factors by applying propensity score analysis. Time-to-event analysis and proportional hazard modeling were applied to investigate relative pneumonia risk over time among the OHS groups. RESULTS: Modeling identified associations between any incident pneumonia subtype and 'number of missing teeth' (p < 0.001) and 'clinically assessed periodontal status' (p < 0.01), which remained significant following adjustment for prior pneumonia incidence and smoking. The hazard ratio (HR) for 'any incident pneumonia' in the best OHS group for 'number of missing teeth' was 0.65, 95% confidence interval (CI) [0.54 - 0.79] (unadjusted) and 0.744, 95% CI [0.61 - 0.91] (adjusted). The HR for 'any incident pneumonia' in the best 'clinically assessed periodontal status' group was 0.72, 95% CI [0.58 - 0.90] (unadjusted) and 0.78, 95% CI [0.62 - 0.97] (adjusted). CONCLUSION/CLINICAL RELEVANCE: Poor OHS increased pneumonia risk. Proactive attention of medical providers to patient OHS and health literacy surrounding oral-systemic disease association is vital, especially in high-risk populations.

Development and Validation of a Non-Invasive, Chairside Oral Cavity Cancer Risk Assessment Prototype Using Machine Learning Approach.

Oral cavity cancer (OCC) is associated with high morbidity and mortality rates when diagnosed at late stages. Early detection of increased risk provides an opportunity for implementing prevention strategies surrounding modifiable risk factors and screening to promote early detection and intervention. Historical evidence identified a gap in the training of primary care providers (PCPs) surrounding the examination of the oral cavity. The absence of clinically applicable analytical tools to identify patients with high-risk OCC phenotypes at point-of-care (POC) causes missed opportunities for implementing patient-specific interventional strategies. This study developed an OCC risk assessment tool prototype by applying machine learning (ML) approaches to a rich retrospectively collected data set abstracted from a clinical enterprise data warehouse. We compared the performance of six ML classifiers by applying the 10-fold cross-validation approach. Accuracy, recall, precision, specificity, area under the receiver operating characteristic curve, and recall-precision curves for the derived voting algorithm were: 78%, 64%, 88%, 92%, 0.83, and 0.81, respectively. The performance of two classifiers, multilayer perceptron and AdaBoost, closely mirrored the voting algorithm. Integration of the OCC risk assessment tool developed by clinical informatics application into an electronic health record as a clinical decision support tool can assist PCPs in targeting at-risk patients for personalized interventional care.

Systematic review of studies examining contribution of oral health variables to risk prediction models for undiagnosed Type 2 diabetes and prediabetes.

OBJECTIVE: To conduct systematic review applying "preferred reporting items for systematic reviews and meta-analyses statement" and "prediction model risk of assessment bias tool" to studies examining the performance of predictive models incorporating oral health-related variables as candidate predictors for projecting undiagnosed diabetes mellitus (Type 2)/prediabetes risk. MATERIALS AND METHODS: Literature searches undertaken in PubMed, Web of Science, and Gray literature identified eligible studies published between January 1, 1980 and July 31, 2018. Systematically reviewed studies met inclusion criteria if studies applied multivariable regression modeling or informatics approaches to risk prediction for undiagnosed diabetes/prediabetes, and included dental/oral health-related variables modeled either independently, or in combination with other risk variables. RESULTS: Eligibility for systematic review was determined for seven of the 71 studies screened. Nineteen dental/oral health-related variables were examined across studies. "Periodontal pocket depth" and/or "missing teeth" were oral health variables consistently retained as predictive variables in models across all systematically reviewed studies. Strong performance metrics were reported for derived models by all systematically reviewed studies. The predictive power of independently modeled oral health variables was marginally amplified when modeled with point-of-care biological glycemic measures in dental settings. Meta-analysis was precluded due to high inter-study variability in study design and population diversity. CONCLUSIONS: Predictive modeling consistently supported "periodontal measures" and "missing teeth" as candidate variables for predicting undiagnosed diabetes/prediabetes. Validation of predictive risk modeling for undiagnosed diabetes/prediabetes across diverse populations will test the feasibility of translating such models into clinical practice settings as noninvasive screening tools for identifying at-risk individuals following demonstration of model validity within the defined population.

DNA hypermethylation contributes to colorectal cancer metastasis by regulating the binding of CEBPB and TFCP2 to the CPEB1 promoter.

BACKGROUND: Aberrant DNA methylation has been firmly established as a factor contributing to the pathogenesis of colorectal cancer (CRC) via its capacity to silence tumour suppressor genes. However, the methylation status of multiple tumour suppressor genes and their roles in promoting CRC metastasis are not well characterised. METHODS: We explored the methylation and expression profiles of CPEB1 (the gene encoding cytoplasmic polyadenylation element-binding protein 1), a candidate CRC tumour suppressor gene, using The Cancer Genome Atlas (TCGA) database and validated these results in both CRC cell lines and cells from Han Chinese CRC patients (n = 104). The functional role of CPEB1 in CRC was examined in experiments performed in vitro and in vivo. A candidate transcription factor capable of regulating CPEB1 expression was predicted in silico and validated by luciferase reporter, DNA pull-down, and electrophoretic mobility shift assays. RESULTS: Hypermethylation and decreased expression of CPEB1 in CRC tumour tissues were revealed by TCGA database. We also identified a significant inverse correlation (Pearson's R = - 0.43, P < 0.001) between promoter methylation and CPEB1 expression. We validated these results in CRC samples and two CRC cell lines. We also demonstrated that up-regulation of CPEB1 resulted in significantly decreased tumour growth, migration, invasion, and tumorigenicity and promoted tumour cell apoptosis both in vitro and in vivo. We identified the transcription factors CCAAT enhancer-binding protein beta (CEBPB) and transcription factor CP2 (TFCP2) as critical regulators of CPEB1 expression. Hypermethylation of the CPEB1 promoter resulted in a simultaneous increase in the capacity for TFCP2 binding and a decreased likelihood of CEBPB binding, both of which led to diminished expression of CPEB1. CONCLUSIONS: Our results identified a novel tumour-suppressive role of CPEB1 in CRC and found that hypermethylation of the CPEB1 promoter may lead to diminished expression due to decreased chromatin accessibility and transcription factor binding. Collectively, these results suggest a potential role for CPEB1 in the diagnosis and treatment of CRC.

World Workshop on Oral Medicine VII: Prognostic biomarkers in oral leukoplakia and proliferative verrucous leukoplakia-A systematic review of retrospective studies.

OBJECTIVE: To systematically review retrospective studies examining prognostic potentials of candidate biomarkers to stratify malignant progression of oral leukoplakia (OL) and proliferative verrucous leukoplakia (PVL). MATERIALS AND METHODS: A systematic literature search of PubMed, EMBASE, Evidence-Based Medicine and Web of Science databases targeted literature published through 29 March 2018. Inter-rater agreement was ascertained during title, abstract and full-text reviews. Eligibility evaluation and data abstraction from eligible studies were guided by predefined PICO questions and bias assessment by the Quality in Prognosis Studies tool. Reporting followed Preferred Reporting Items for Systematic Review and Meta-Analysis criteria. Biomarkers were stratified based on cancer hallmarks. RESULTS: Eligible studies (n = 54/3,415) evaluated 109 unique biomarkers in tissue specimens from 2,762 cases (2,713 OL, 49 PVL). No biomarker achieved benchmarks for clinical application to detect malignant transformation. Inter-rater reliability was high, but 65% of included studies had high "Study Confounding" bias risk. CONCLUSION: There was no evidence to support translation of candidate biomarkers predictive of malignant transformation of OL and PVL. Systematically designed, large, optimally controlled, collaborative, prospective and longitudinal studies with a priori-specified methods to identify, recruit, prospectively follow and test for malignant transformation are needed to enhance feasibility of prognostic biomarkers predicting malignant OL or PVL transformation.

World Workshop on Oral Medicine VII: Prognostic biomarkers in oral leukoplakia: A systematic review of longitudinal studies.

OBJECTIVE: To identify the prognostic biomarker candidates for stratification and long-term surveillance of oral leukoplakia progressing to cancer via a systematic literature review. MATERIALS AND METHODS: Systematic searches with no date restrictions were conducted on March 29, 2018, targeting the databases PubMed (Ovid), EMBASE (Ovid), EBM (Ovid), and Web of Science (ISI). Bias was assessed using the Quality in Prognosis Studies tool. Biomarkers were stratified based on hallmarks of cancer. RESULTS: Inclusion criteria were met by 25 of 3,415 studies. A range of biomarkers were evaluated experimentally for risk stratification, prognosis, and surveillance of oral leukoplakia in tissue, blood, and saliva. However, the studies were highly heterogeneous and require further validation. Biomarkers reported in these studies included inflammatory or oxidative markers, growth factors, ion channels, genetic and cellular regulatory factors, and epigenetic biomarkers. Studies tended to include small sample sizes, under-reported or variably reported histopathological data, did not address potential confounding, reported limited/variable follow-up data, or lacked a control group. Inclusion of subsets from chemoprevention trials may have introduced bias regarding reported malignant transformation rates and accuracy of prognostic biomarkers. CONCLUSIONS: This review identified insufficient longitudinal evidence to support validated prognostic biomarkers for oral leukoplakia. Further studies are needed to identify molecular targets with the potential to mitigate risk of malignant transformation.

World Workshop on Oral Medicine VII: Biomarkers predicting lymphoma in the salivary glands of patients with Sjögren's syndrome-A systematic review.

OBJECTIVE: To conduct a systematic review of studies exploring potential biomarkers for development, course, and efficacy of treatment of lymphomas in salivary glands of patients with Sjögren's syndrome. MATERIAL AND METHODS: Eligible studies were identified through a comprehensive search of two databases, that is, PubMed and EMBASE. Quality of included articles was assessed with the "Quality In Prognosis Studies" (QUIPS) tool. The "CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies" (CHARMS) was used to facilitate data extraction. RESULTS: Fifty-eight studies met the inclusion criteria. Only one study assessed the progression of lymphoma. Moderate risk of bias was detected in "outcome measurement," "study participation," and "study confounding" domains. Parotid gland enlargement, mixed monoclonal cryoglobulins, and low C4 levels represented strongest predictors of lymphoma development. The role of histological biomarkers, and specifically germinal centers, remains controversial. Clinical and methodological heterogeneity across studies precluded conduct of a meta-analysis. CONCLUSIONS: Specific biomarkers in combination with clinical manifestations represent potential candidates for advancing precision medicine approaches to lymphoma prediction in patients with Sjögren's syndrome. Current focus has increasingly been on genetic and epigenetic markers as candidate predictors. Predictive accuracy of key biomarker candidates remains to be tested in well-designed prospectively followed Sjögren's syndrome cohorts.

Screening for dysglycaemia in dental primary care practice settings: systematic review of the evidence.

INTRODUCTION: Increasing prevalence of diabetes and periodontal disease is prompting identification of additional clinical settings to identify patients at risk for dysglycaemia. A systematic review of studies that have examined feasibility of screening for at-risk patients in general dentistry settings at point-of-care (POC) was undertaken. MATERIALS AND METHODS: Systematic review of pragmatic clinical field trials piloting POC screening for dysglycaemia risk in dental settings was undertaken in studies whose primary objective was to explore rates of dysglycaemia among undiagnosed patient populations. RESULTS: Among 17 dental clinical field trials identified, 10 were systematically reviewed. High rates of undiagnosed dysglycaemia were detected among dental patients by biological screening in all trials. Notably, substantive differences in study design and population characteristics were identified, precluding meta-analysis. CONCLUSION: Screening for dysglycaemia in dental offices effectively identified high-risk patients requiring triage for glycaemic management. Considerations for future clinical trial design were advanced to establish an evidence base amenable to meta-analysis of the relative translational value of glycaemic screening in dental settings.

Patient awareness/knowledge towards oral cancer: a cross-sectional survey.

BACKGROUND: Oral cancer (OC) is associated with multiple risk factors and high mortality rates and substantially contributes to the global cancer burden despite being highly preventable. This cross-sectional study sought to assess current knowledge, awareness, and behaviors of patients in rural communities surrounding OC risk. METHODS: An anonymous 21-question survey was distributed to patients in waiting rooms of a large integrated medical-dental health system serving north-central Wisconsin. Survey results were summarized via descriptive statistics. Odds ratios surrounding health literacy on OC risk factors were obtained using unconditional univariate logistic regression analysis. RESULTS: Of 504 dental and 306 medical patients completing the survey, 62.2% were female, Caucasian/White (92%) with 41% having a ≤ high school diploma/equivalent. Current smoker/smokeless tobacco use was reported by 34%, while 39% reported former tobacco exposure. Alcohol use was reported by 54% of respondents at the following frequencies: < once/week, (35%); 1-2 times/week, (16%); 3-4 times/week, (6%); 5-6 times/week, (2%); and daily, (23%). Knowledge about tobacco and alcohol use and increased OC risk was reported by 94 and 40%, respectively. About 50% reported knowledgeability regarding cancer-associated symptomology. Tobacco cessation was reported by 20% of responders. Receipt of education on OC from healthcare providers and human papilloma virus links to OC causation was reported by 38 and 21%, respectively. CONCLUSION: Patients who smoked > 20+ cigarettes per day were more knowledgeable about tobacco and OC risk compared to non-smokers and those who smoked ≤ 19 cigarettes/day (p = 0.0647). Patients who were alcohol consumers exhibited higher knowledgeability surrounding increased OC risk with alcohol and tobacco exposures compared to alcohol abstainers (p = 0.06). We concluded that patients recognized links between tobacco and OC risk but demonstrated lower knowledge of other causal factors. Strategic patient education by providers could increase awareness of OC risk.

Tobacco use status from clinical notes using Natural Language Processing and rule based algorithm.

BACKGROUND: This cross-sectional retrospective study utilized Natural Language Processing (NLP) to extract tobacco-use associated variables from clinical notes documented in the Electronic Health Record (EHR). OBJECITVE: To develop a rule-based algorithm for determining the present status of the patient's tobacco-use. METHODS: Clinical notes (n= 5,371 documents) from 363 patients were mined and classified by NLP software into four classes namely: "Current Smoker", "Past Smoker", "Nonsmoker" and "Unknown". Two coders manually classified these documents into above mentioned classes (document-level gold standard classification (DLGSC)). A tobacco-use status was derived per patient (patient-level gold standard classification (PLGSC)), based on individual documents' status by the same two coders. The DLGSC and PLGSC were compared to the results derived from NLP and rule-based algorithm, respectively. RESULTS: The initial Cohen's kappa (n= 1,000 documents) was 0.9448 (95% CI = 0.9281-0.9615), indicating a strong agreement between the two raters. Subsequently, for 371 documents the Cohen's kappa was 0.9889 (95% CI = 0.979-1.000). The F-measures for the document-level classification for the four classes were 0.700, 0.753, 0.839 and 0.988 while the patient-level classifications were 0.580, 0.771, 0.730 and 0.933 respectively. CONCLUSIONS: NLP and the rule-based algorithm exhibited utility for deriving the present tobacco-use status of patients. Current strategies are targeting further improvement in precision to enhance translational value of the tool.

Knowledgeability, Attitude and Behavior of Primary Care Providers Towards Oral Cancer: a Pilot Study.

The objective of this study was to assess current knowledgeability, attitudes, and practice behaviors of primary care providers (PCPs) towards oral cancer screening. Applying a cross-sectional design, a 14-question survey was emailed to 307 PCPs practicing at a large, multi-specialty, rurally based healthcare system. Survey data were collected and managed using REDCap and analyzed applying descriptive statistics. A 20 % response rate (n = 61/307) was achieved for survey completion. Approximately 70 % of respondents were physicians, 16 % were nurse practitioners, and 13 % were physician assistants. Nearly 60 % of respondents were family medicine practitioners. Limited training surrounding oral cancer screening during medical training was reported by 64 %. Although 78 % of respondents reported never performing oral cancer screening on patients in their practice, >90 % answered knowledge-based questions correctly. Frequency rate for specialist referral for suspicious lesions by PCPs was 56 % "frequently". Optimal periodicity for oral cancer screening on all patients selected by respondents was 61 % "annually", 3 % "every 6 months", 3 % "every visit", 2 % "not at all", and 31 % "unsure". This study established a baseline surrounding current knowledgeability, practice patterns, and opinions of PCPs towards oral cancer screening at a single, large, regional healthcare system. In the absence of evidence-based support for population-based cancer screening, this study result suggests a need for better integration of oral cancer surveillance into the medical setting, supplemented by education and training with emphasis on assessment of high-risk patients to achieve early detection. Prospectively, larger studies are needed to validate these findings.

Breast cancer incidence before and after diagnosis of type 2 diabetes mellitus in women: increased risk in the prediabetes phase.

The physiological changes associated with type 2 diabetes mellitus begin before disease onset, yet few have examined the incidence of cancer both before and after diabetes onset. We examined the temporal relationship between diabetes and breast cancer risk. Breast cancer risk was assessed in a retrospective cohort study using patient data from the Marshfield Clinic electronic medical record including 5423 women who developed diabetes between 1 January 1995 and 31 December 2009 (reference date) and 26 346 nondiabetic women matched by age, smoking history, residence, and reference date. Breast cancer risk was assessed before and after reference date, adjusting for matching variables, BMI, insurance status, and comorbidities. Primary outcomes included hazard ratio (HR) and number of women needed to be exposed to diabetes for one additional person to be harmed - that is, develop breast cancer (NNEH). HR for breast cancer before diabetes diagnosis was 1.16 (95% CI 1.03-1.31, P=0.0150) and NNEH was 99 at time of diabetes onset. HR for breast cancer after diabetes diagnosis was not significant at 1.07 (95% CI 0.90-1.28, P=0.422), and NNEH was 350 at 10 years post diabetes onset. Diabetic women are at the greatest increased risk of breast cancer near the time of diabetes diagnosis. The comparative NNEH increased shortly after diagnosis and as the duration of diabetes increased. Breast cancer risk appears to be increased during the prediabetes phase, waning after diagnosis, raising important issues regarding timing of breast cancer prevention interventions in women with diabetes.

Type 2 diabetes mellitus, glycemic control, and cancer risk.

Type 2 diabetes mellitus is characterized by prolonged hyperinsulinemia, insulin resistance, and progressive hyperglycemia. Disease management relies on glycemic control through diet, exercise, and pharmacological intervention. The goal of the present study was to examine the effects of glycemic control and the use of glucose-lowering medication on the risk of breast, prostate, and colon cancer. Patients diagnosed with type 2 diabetes mellitus (N=9486) between 1 January 1995 and 31 December 2009 were identified and data on glycemic control (hemoglobin A1c, glucose), glucose-lowering medication use (insulin, metformin, sulfonylurea), age, BMI, date of diabetes diagnosis, insurance status, comorbidities, smoking history, location of residence, and cancer diagnoses were electronically abstracted. Cox proportional hazards regression modeling was used to examine the relationship between glycemic control, including medication use, and cancer risk. The results varied by cancer type and medication exposure. There was no association between glycemic control and breast or colon cancer; however, prostate cancer risk was significantly higher with better glycemic control (hemoglobin A1c ≤ 7.0%). Insulin use was associated with increased colon cancer incidence in women, but not with colon cancer in men or breast or prostate cancer risk. Metformin exposure was associated with reduced breast and prostate cancer incidence, but had no association with colon cancer risk. Sulfonylurea exposure was not associated with risk of any type of cancer. The data reported here support hyperinsulinemia, rather than hyperglycemia, as a major diabetes-related factor associated with increased risk of breast and colon cancer. In contrast, hyperglycemia appears to be protective in the case of prostate cancer.

Increased risk of colon cancer in men in the pre-diabetes phase.

BACKGROUND: Historically, studies exploring the association between type 2 diabetes mellitus (DM) and cancer lack accurate definition of date of DM onset, limiting temporal analyses. We examined the temporal relationship between colon cancer risk and DM using an electronic algorithm and clinical, administrative, and laboratory data to pinpoint date of DM onset. METHODS: Subjects diagnosed with DM (N = 11,236) between January 1, 1995 and December 31, 2009 were identified and matched at a 5∶1 ratio with 54 365 non-diabetic subjects by age, gender, smoking history, residence, and diagnosis reference date. Colon cancer incidence relative to the reference date was used to develop Cox regression models adjusted for matching variables, body mass index, insurance status, and comorbidities. Primary outcomes measures included hazard ratio (HR) and number needed to be exposed for one additional person to be harmed (NNEH). RESULTS: The adjusted HR for colon cancer in men before DM onset was 1.28 (95% CI 1.04-1.58, P = 0.0223) and the NNEH decreased with time, reaching 263 at DM onset. No such difference was observed in women. After DM onset, DM did not appear to alter colon cancer risk in either gender. CONCLUSIONS: Colon cancer risk is increased in diabetic men, but not women, before DM onset. DM did not alter colon cancer risk in men or women after clinical onset. In pre-diabetic men, colon cancer risk increased as time to DM onset decreased, suggesting that the effects of the pre-diabetes phase on colon cancer risk in men are cumulative.

Prostate cancer risk in pre-diabetic men: a matched cohort study.

BACKGROUND: Diagnosis and duration of type 2 diabetes mellitus (DM) appear to be associated with decreased prostate cancer risk. Limitations of previous studies include methods of subject selection and accurate definition of DM diagnosis. We examined the temporal relationship between DM and prostate cancer risk exploring the period of greatest risk starting from the prediabetic to the post-diabetic period using clinical and administrative data to accurately define the date of DM diagnosis. METHODS: We identified 5,813 men who developed DM between January 1, 1995 and December 31, 2009 (reference date, date of DM onset or matched date for non-diabetic cohort) and 28,019 non-diabetic men matched by age, smoking history, residence, and reference date. Prostate cancer incidence before and after the reference date was assessed using Cox regression modeling adjusted for matching variables, body mass index, insurance status, and comorbidities. Primary outcomes included hazard ratio (HR) and number needed to be exposed to DM for one additional person to be harmed (NNEH) or benefit (NNEB) with respect to prostate cancer risk. RESULTS: After full adjustment, the HR for prostate cancer before DM diagnosis was 0.96 (95% CI 0.85-1.08; P=0.4752), and the NNEB was 974 at DM diagnosis. After the reference date, the fully-adjusted HR for prostate cancer in diabetic men was 0.84 (95% CI 0.72-0.97, P=0.0167), and the NNEB 3 years after DM onset was 425. The NNEB continued to decrease over time, reaching 63 at 15 years after DM onset, suggesting an increasing protective effect of DM on prostate cancer risk over time. No significant difference between the diabetic and non-diabetic cohort was found prior to reference date. CONCLUSION: Prostate cancer risk is not reduced in pre-diabetic men but decreases after DM diagnosis and the protective effect of DM onset on prostate cancer risk increases with DM duration.

Tamoxifen-induced venothromboembolic events: exploring validation of putative genetic association.

OBJECTIVE: A pilot study to examine accrual rates, efficiency of data capture approaches, study design and genotyping capacity for a future genetic validation study was undertaken. DESIGN: The process pilot evaluated feasibility of applying a matched case-control design to validate association of two candidate estrogen receptor (ER) single nucleotide polymorphisms (SNPs) with incidence of venothromboembolic events (VTE) in breast cancer patients treated with tamoxifen where criteria included frequency matching by age, number of years diagnosed with breast cancer within 4-year intervals, and geographic residency. SETTING: The study was conducted at Marshfield Clinic, in central Wisconsin. PARTICIPANTS: Study-eligible cases with a breast cancer diagnosis between 1994 and 2006 who experienced a VTE within 5 years of last tamoxifen exposure were matched at a ratio of 1:4 to controls with a breast cancer diagnosed between 1994 and 2006 with no VTE history following tamoxifen exposure for ≥2 years. METHODS: Feasibility of enrolling, phenotyping, and genotyping 20% of the total number of validated eligible cases and controls was tested in order to project enrollment rates and assess probability of enrolling the projected sample size for the prospective validation study and adequacy of planned data capture. Conditional logistic regression analysis was conducted for the matched case-control study design. RESULTS: Enrollment accruals included 19 of 24 targeted cases (79%), and 74 of 96 (77%) targeted controls. Electronic data capture for most variables was nearly 100%. No unexpected statistically significant differences were observed between cases and controls. Capacity to conduct in-house screening for rs2234689 (ER1 PvuII), rs9340799 (ER1 XbaI), rs13146272 (CYP4V2), rs2227589 (SERPINC 1) and rs1613662 (GP6) was successfully established. Association of GP6 with VTE was further validated (P=0.0403; OR, 0.19). CONCLUSION: Accrual rates to the larger prospective study will require a multi-center design to ensure enrollment of adequate numbers of cases and controls for achieving the projected sample size required to validate association of the ER SNPs. To prevent study failure due to poor accrual, the importance of conducting feasibility studies before launching large scale validation studies of genetic association and adverse drug events, is discussed.

Consensus guideline adoption for managing postoperative nausea and vomiting.

OBJECTIVE: Postoperative nausea and vomiting (PONV) is a major source of patient dissatisfaction and is the leading cause of discharge delays and unanticipated postsurgical hospital admissions. The objective of this study was to examine the efficacy of PONV management consensus guidelines at the institutional level. DESIGN: Retrospective, cross sectional study. SETTING: Post-anesthesia care unit (PACU) at a 504-bed multispecialty referral center. PARTICIPANTS: 300 adult surgical patients who underwent general anesthesia prior to institutional adoption of PONV management guidelines and 301 adult surgical patients who underwent general anesthesia following adoption of guidelines. METHODS: The records of 601 adult surgical patients were examined for documented treatment for PONV while in the PACU, length of PACU stay, medications administered perioperatively, and patient characteristics including number and type of PONV risk factors. RESULTS: Institutional incidence of PONV decreased from 8.36% to 3.01% following adoption of management guidelines (P = 0.0047). All patients who developed PONV had 3 or more risk factors, and the reduction in incidence is attributable to an overall increase in preoperative antiemetic prophylaxis (P < 0.0001), with a concomitant increase in multimodal treatment (P < 0.0001) and decrease in single modality treatment (P = 0.0004). Length of stay in the PACU increased approximately 15 minutes in patients with PONV, but did not reach statistical significance. Development of PONV was associated with the presence of greater than 3 conventional risk factors (P = 0.009), never smoker status (P = 0.0009), and surgery type. CONCLUSIONS: Implementation of consensus PONV prevention guidelines significantly reduced incidence at an institutional level. However, patients with 3 or more risk factors remain at risk for PONV. Risk stratification remains important and greater intervention is required in this subgroup at our institution. In response to publication of procedural consensus guidelines, individual institutions should consider modification of practices and assessment of outcomes following application.

Diabetes and cancer I: risk, survival, and implications for screening.

Type 2 diabetes mellitus (DM) and cancer are common diseases that are frequently diagnosed in the same individual. An association between the two conditions has long been postulated. Here, we review the epidemiological evidence for increased risk of cancer, decreased cancer survival, and decreased rates of cancer screening in diabetic patients. The risk for several cancers, including cancers of the pancreas, liver, colorectum, breast, urinary tract, and endometrium, is increased in patients with DM. In a pooled risk analysis weighting published meta-analytic relative risk (RR) for individual cancer by differences in their incidence rates, we found a population RR of 0.97 (95 % CI, 0.75-1.25) in men and 1.29 (95 % CI, 1.16-1.44) in women. All meta-analyses showed an increased relative risk for cancer in diabetic men, except studies of prostate cancer, in which a protective effect was observed. The relationship between diabetes and cancer appears to be complex, and at present, a clear temporal relationship between the two conditions cannot be defined. DM also impacts negatively on cancer-related survival outcomes and cancer screening rates. The overwhelming evidence for lower cancer screening rates, increased incidence of certain cancers, and poorer prognosis after cancer diagnosis in diabetic patients dictates a need for improved cancer care in diabetic individuals through improved screening measures, development of risk assessment tools, and consideration of cancer prevention strategies in diabetic patients. Part two of this review focuses on the biological and pharmacological mechanisms that may account for the association between DM and cancer.