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Dive into the research topics where Derek K. Smith is active.

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Featured researches published by Derek K. Smith.


Circulation-cardiovascular Genetics | 2017

Predicting the Functional Impact of KCNQ1 Variants of Unknown SignificanceCLINICAL PERSPECTIVE

Bian Li; Jeffrey L. Mendenhall; Brett M. Kroncke; Keenan C. Taylor; Hui Huang; Derek K. Smith; Carlos G. Vanoye; Jeffrey D. Blume; Alfred L. George; Charles R. Sanders; Jens Meiler

Background— An emerging standard-of-care for long-QT syndrome uses clinical genetic testing to identify genetic variants of the KCNQ1 potassium channel. However, interpreting results from genetic testing is confounded by the presence of variants of unknown significance for which there is inadequate evidence of pathogenicity. Methods and Results— In this study, we curated from the literature a high-quality set of 107 functionally characterized KCNQ1 variants. Based on this data set, we completed a detailed quantitative analysis on the sequence conservation patterns of subdomains of KCNQ1 and the distribution of pathogenic variants therein. We found that conserved subdomains generally are critical for channel function and are enriched with dysfunctional variants. Using this experimentally validated data set, we trained a neural network, designated Q1VarPred, specifically for predicting the functional impact of KCNQ1 variants of unknown significance. The estimated predictive performance of Q1VarPred in terms of Matthew’s correlation coefficient and area under the receiver operating characteristic curve were 0.581 and 0.884, respectively, superior to the performance of 8 previous methods tested in parallel. Q1VarPred is publicly available as a web server at http://meilerlab.org/q1varpred. Conclusions— Although a plethora of tools are available for making pathogenicity predictions over a genome-wide scale, previous tools fail to perform in a robust manner when applied to KCNQ1. The contrasting and favorable results for Q1VarPred suggest a promising approach, where a machine-learning algorithm is tailored to a specific protein target and trained with a functionally validated data set to calibrate informatics tools.


Journal of the American Heart Association | 2017

High‐Density Lipoprotein Cholesterol Concentration and Acute Kidney Injury After Cardiac Surgery

Loren E. Smith; Derek K. Smith; Jeffrey D Blume; MacRae F. Linton; Frederic T. Billings

Background Acute kidney injury (AKI) after cardiac surgery is associated with increased short‐ and long‐term mortality. Inflammation, oxidative stress, and endothelial dysfunction and damage play important roles in the development of AKI. High‐density lipoproteins (HDLs) have anti‐inflammatory and antioxidant properties and improve endothelial function and repair. Statins enhance HDLs anti‐inflammatory and antioxidant capacities. We hypothesized that a higher preoperative HDL cholesterol concentration is associated with decreased AKI after cardiac surgery and that perioperative statin exposure potentiates this association. Methods and Results We tested our hypothesis in 391 subjects from a randomized clinical trial of perioperative atorvastatin to reduce AKI after cardiac surgery. A 2‐component latent variable mixture model was used to assess the association between preoperative HDL cholesterol concentration and postoperative change in serum creatinine, adjusted for known AKI risk factors and suspected confounders. Interaction terms were used to examine the effects of preoperative statin use, preoperative statin dose, and perioperative atorvastatin treatment on the association between preoperative HDL and AKI. A higher preoperative HDL cholesterol concentration was independently associated with a decreased postoperative serum creatinine change (P=0.02). The association between a high HDL concentration and an attenuated increase in serum creatinine was strongest in long‐term statin‐using patients (P=0.008) and was further enhanced with perioperative atorvastatin treatment (P=0.004) and increasing long‐term statin dose (P=0.003). Conclusions A higher preoperative HDL cholesterol concentration was associated with decreased AKI after cardiac surgery. Preoperative and perioperative statin treatment enhanced this association, demonstrating that pharmacological potentiation is possible during the perioperative period. Clinical Trial Registration URL: http://www.clinicaltrials.gov. Unique Identifier: NCT00791648.


Circulation: Genomic and Precision Medicine | 2018

SCN5A (NaV1.5) Variant Functional Perturbation and Clinical Presentation: Variants of a Certain Significance

Brett M. Kroncke; Andrew M. Glazer; Derek K. Smith; Jeffrey D Blume; Dan M. Roden

Background: Accurately predicting the impact of rare nonsynonymous variants on disease risk is an important goal in precision medicine. Variants in the cardiac sodium channel SCN5A (protein NaV1.5; voltage-dependent cardiac Na+ channel) are associated with multiple arrhythmia disorders, including Brugada syndrome and long QT syndrome. Rare SCN5A variants also occur in ≈1% of unaffected individuals. We hypothesized that in vitro electrophysiological functional parameters explain a statistically significant portion of the variability in disease penetrance. Methods: From a comprehensive literature review, we quantified the number of carriers presenting with and without disease for 1712 reported SCN5A variants. For 356 variants, data were also available for 5 NaV1.5 electrophysiological parameters: peak current, late/persistent current, steady-state V1/2 of activation and inactivation, and recovery from inactivation. RESULTS: We found that peak and late current significantly associate with Brugada syndrome (P<0.001; &rgr;=−0.44; Spearman rank test) and long QT syndrome disease penetrance (P<0.001; &rgr;=0.37). Steady-state V1/2 activation and recovery from inactivation associate significantly with Brugada syndrome and long QT syndrome penetrance, respectively. Continuous estimates of disease penetrance align with the current American College of Medical Genetics classification paradigm. Conclusions: NaV1.5 in vitro electrophysiological parameters are correlated with Brugada syndrome and long QT syndrome disease risk. Our data emphasize the value of in vitro electrophysiological characterization and incorporating counts of affected and unaffected carriers to aid variant classification. This quantitative analysis of the electrophysiological literature should aid the interpretation of NaV1.5 variant electrophysiological abnormalities and help improve NaV1.5 variant classification.


BMC Nephrology | 2017

Latent variable modeling improves AKI risk factor identification and AKI prediction compared to traditional methods

Loren E. Smith; Derek K. Smith; Jeffrey D Blume; Edward D. Siew; Frederic T. Billings

BackgroundAcute kidney injury (AKI) is diagnosed based on postoperative serum creatinine change, but AKI models have not consistently performed well, in part due to the omission of clinically important but practically unmeasurable variables that affect creatinine. We hypothesized that a latent variable mixture model of postoperative serum creatinine change would partially account for these unmeasured factors and therefore increase power to identify risk factors of AKI and improve predictive accuracy.MethodsWe constructed a two-component latent variable mixture model and a linear model using data from a prospective, 653-subject randomized clinical trial of AKI following cardiac surgery (NCT00791648) and included established AKI risk factors and covariates known to affect serum creatinine. We compared model fit, discrimination, power to detect AKI risk factors, and ability to predict AKI between the latent variable mixture model and the linear model.ResultsThe latent variable mixture model demonstrated superior fit (likelihood ratio of 6.68 × 1071) and enhanced discrimination (permutation test of Spearman’s correlation coefficients, p < 0.001) compared to the linear model. The latent variable mixture model was 94% (−13 to 1132%) more powerful (median [range]) at identifying risk factors than the linear model, and demonstrated increased ability to predict change in serum creatinine (relative mean square error reduction of 6.8%).ConclusionsA latent variable mixture model better fit a clinical cohort of cardiac surgery patients than a linear model, thus providing better assessment of the associations between risk factors of AKI and serum creatinine change and more accurate prediction of AKI. Incorporation of latent variable mixture modeling into AKI research will allow clinicians and investigators to account for clinically meaningful patient heterogeneity resulting from unmeasured variables, and therefore provide improved ability to examine risk factors, measure mechanisms and mediators of kidney injury, and more accurately predict AKI in clinical cohorts.


The Journal of Clinical Endocrinology and Metabolism | 2018

Rare Variants in the Gene ALPL That Cause Hypophosphatasia Are Strongly Associated With Ovarian and Uterine Disorders

Kathryn Dahir; Daniel R Tilden; Jeremy L. Warner; Derek K. Smith; Aliya Gifford; Andrea H. Ramirez; Jill S Simmons; Margo M Black; John H. Newman; Josh C. Denny

Context Mutations in alkaline phosphatase (AlkP), liver/bone/kidney (ALPL), which encodes tissue-nonspecific isozyme AlkP, cause hypophosphatasia (HPP). HPP is suspected by a low-serum AlkP. We hypothesized that some patients with bone or dental disease have undiagnosed HPP, caused by ALPL variants. Objective Our objective was to discover the prevalence of these gene variants in the Vanderbilt University DNA Biobank (BioVU) and to assess phenotypic associations. Design We identified subjects in BioVU, a repository of DNA, that had at least one of three known, rare HPP disease-causing variants in ALPL: rs199669988, rs121918007, and/or rs121918002. To evaluate for phenotypic associations, we conducted a sequential phenome-wide association study of ALPL variants and then performed a de-identified manual record review to refine the phenotype. Results Out of 25,822 genotyped individuals, we identified 52 women and 53 men with HPP disease-causing variants in ALPL, 7/1000. None had a clinical diagnosis of HPP. For patients with ALPL variants, the average serum AlkP levels were in the lower range of normal or lower. Forty percent of men and 62% of women had documented bone and/or dental disease, compatible with the diagnosis of HPP. Forty percent of the female patients had ovarian pathology or other gynecological abnormalities compared with 15% seen in controls. Conclusions Variants in the ALPL gene cause bone and dental disease in patients with and without the standard biomarker, low plasma AlkP. ALPL gene variants are more prevalent than currently reported and underdiagnosed. Gynecologic disease appears to be associated with HPP-causing variants in ALPL.


Supportive Care in Cancer | 2018

Patterns of oral and dental care education and utilization in head and neck cancer patients

Joel B. Epstein; Derek K. Smith; Dana Villines; Ira R. Parker; Jeff Hameroff; Brian R. Hill; Barbara A. Murphy

PurposeThe purpose of this study was to examine patterns of oral health care among patients undergoing oral cancer therapy in order to better understand how oral care is being utilized, what types of providers are being utilized at various stages of cancer therapy, and assessing patients’ satisfaction with the care they received at these stages.MethodsAn online survey was conducted via the Oral Cancer Foundation’s support group message board. Participants were asked about their oral care immediately prior to cancer therapy, during cancer therapy, and post cancer therapy. The participants were also given the opportunity to provide open response feedback on their oral care which was analyzed qualitatively.ResultsSeventy-four participants completed the survey. Participants reported being informed that they needed to receive an oral evaluation 72.6 and 53.6% of the time in the pre- and post-treatment stages, respectively. Compliance with this recommendation was 71.2% pre cancer therapy but dropped precipitously to 49.2% post cancer therapy. Pre- and post-therapy oral care was provided most commonly by the patient’s usual dentist 41.1 and 55.9%, respectively, with medical providers predominating the treatment phase, 77.7%. Patients reported dissatisfaction rates of 29.0, 20.6, and 21.0% sequentially.ConclusionsThere is a general lack of consistency with how, when, and from whom oral cancer patients receive their oral health education. It is likely that this contributes to insufficient education resulting in high levels of patient dissatisfaction with their oral care.


Integrative Cancer Therapies | 2018

A Randomized Feasibility Trial to Evaluate Use of the Jaw Dynasplint to Prevent Trismus in Patients With Head and Neck Cancer Receiving Primary or Adjuvant Radiation-Based Therapy

Lauren A. Zatarain; Derek K. Smith; Jie Deng; Jill Gilbert; Mary S. Dietrich; Kenneth J. Niermann; Sheila H. Ridner; Barbara A. Murphy

Objective: This study was designed to assess the feasibility of using the Jaw Dynasplint System as an adjunct to conventional stretching exercises as a preventative measure against trismus in patients undergoing radiotherapy. Methods: Study participants (n = 40) were randomized using a permuted block design to conventional stretching or stretching plus use of the Jaw Dynasplint 3 times per day for 30 minutes. Patients were instructed to record maximum interincisal opening each day as well as logging use of the Jaw Dynasplint. Results: At 6 months after initiation of the preventative regimen, 50% of patients in the Dynasplint arm and 75% in the conventional stretching arm remained on their assigned therapy. Trismus was diagnosed in 2 patients in the control arm and in 4 patients in the Dynasplint arm. Only 25% (95% confidence interval = 11.1, 46.9) of patients in the Dynasplint arm used the device as prescribed. Conclusions: The addition of the Jaw Dynasplint decreased compliance compared with conventional stretching. It is unlikely that the prescribed regimen will prove efficacious as a preventative measure due to low compliance.


Head and Neck Pathology | 2017

p16 Immunohistochemistry in Oropharyngeal Squamous Cell Carcinoma Using the E6H4 Antibody Clone: A Technical Method Study for Optimal Dilution

James S. Lewis; Jeremy Shelton; Krystle Lang Kuhs; Derek K. Smith

Routine testing for p16 immunohistochemistry (with selective HPV-specific test use) has been recommended for clinical practice in oropharyngeal squamous cell carcinoma (OPSCC). Data suggests that the E6H4 clone performs best for this purpose, yet no studies have evaluated the optimal antibody concentration for OPSCC testing. We evaluated three concentrations (undiluted, 1:5, and 1:10) of the primary antibody solution for E6H4 using tissue microarrays from a cohort of 199 OPSCC patients with a > 70% staining cutoff for positivity. Concordance was evaluated using percent agreement and Cohen’s kappa. The concentrations were evaluated for sensitivity and specificity using high risk HPV RNA in situ hybridization (RNA-ISH) and also correlated with Kaplan–Meier overall survival analysis. Inter-rater agreement was very high between p16 results at each concentration and also with RNA in situ hybridization (p < 0.0001 for all). Agreement between p16 undiluted and 1:5 dilution (agreement 98.2%; Kappa 0.943; p < 0.0001) was very high and between p16 undiluted and 1:10 dilution (agreement 79.2%; Kappa 0.512; p < 0.0001) much lower. Intensity of the staining did decrease with the 1:5 and 1:10 dilutions compared to undiluted, but not in a manner that obviously would change test interpretation or performance. Results suggest that the E6H4 antibody performs well at dilutions of up to 1:5 fold with a minor decrease in staining intensity, minimum loss of sensitivity, and no loss of specificity in OPSCC patients. This could result in reagent and cost savings.


Supportive Care in Cancer | 2018

Financial and socio-economic factors influencing pre- and post-cancer therapy oral care

Derek K. Smith; Emily H. Castellanos; Barbara A. Murphy


Archive | 2017

An Empirical Bayes Approach to Regularization Using Previously Published Models

Derek K. Smith; Loren E. Smith; Brett M. Kroncke; Frederic T. Billings; Jens Meiler; Jeffrey D Blume

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Jeffrey D Blume

Vanderbilt University Medical Center

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Frederic T. Billings

Vanderbilt University Medical Center

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Loren E. Smith

Vanderbilt University Medical Center

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Barbara A. Murphy

Vanderbilt University Medical Center

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Aliya Gifford

Vanderbilt University Medical Center

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Andrea H. Ramirez

Vanderbilt University Medical Center

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Andrew M. Glazer

Vanderbilt University Medical Center

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