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| 1 | Voltage sensor charge loss accounts for most cases of hypokalemic periodic paralysis 显示文摘 | Matthews E Labrum R Sweeney MG | 2009 | Neurology2009，72，18： | 1 |
| 2 | A novel mutation in the IHH gene causes brachydactyly type A1: a 95-year-old mystery resolved显示文摘 | Elizabeth M. McCready Elizabeth Sweeney Allan E. Fryer Dian Donnai Akeel Baig Lemuel Racacho Matthew L. Warman Alasdair G. Hunter Dennis E. Bulman | 2002 | Human Genetics (-)2002，，4： | 1 |
| 3 | Voltage sensor charge loss accounts for most cases of hypokalemic periodic paralysis显示文摘 | Matthews E Labrum R Sweeney MG | 2009 | Neurology2009，72，18： | 1 |
| 4 | Voltage sensor charge loss accounts for most cases of hypokalemic periodic paralysis显示文摘 | Matthews E Labrum R Sweeney M G | | 0，，： | 1 |
| 5 | Gastric intestinal metaplasia development in African American predominant United States population显示文摘BACKGROUND Gastric cancer significantly contributes to cancer mortality globally.Gastric intestinal metaplasia(GIM)is a stage in the Correa cascade and a premalignant lesion of gastric cancer.The natural history of GIM formation and progression over time is not fully understood.Currently,there are no clear guidelines on GIM surveillance or management in the United States.AIM To investigate factors associated with GIM development over time in African American-predominant study population.METHODS This is a retrospective longitudinal study in a single tertiary hospital in Washington DC.We retrieved upper esophagogastroduodenoscopies(EGDs)with gastric biopsies from the pathology department database from January 2015 to December 2020.Patients included in the study had undergone two or more EGDswith gastric biopsy.Patients with no GIM at baseline were followed up until they developed GIM or until the last available EGD.Exclusion criteria consisted of patients age<18,pregnancy,previous diagnosis of gastric cancer,and missing data including pathology results or endoscopy reports.The study population was divided into two groups based on GIM status.Univariate and multivariate Cox regression was used to estimate the hazard induced by patient demographics,EGD findings,and Helicobacter pylori(H.pylori)status on the GIM status.RESULTS Of 2375 patients who had at least 1 EGD with gastric biopsy,579 patients were included in the study.138 patients developed GIM during the study follow-up period of 1087 d on average,compared to 857 d in patients without GIM(P=0.247).The average age of GIM group was 64 years compared to 56 years in the non-GIM group(P<0.001).In the GIM group,adding one year to the age increases the risk for GIM formation by 4%(P<0.001).Over time,African Americans,Hispanic,and other ethnicities/races had an increased risk of GIM compared to Caucasians with a hazard ratio(HR)of 2.12(1.16,3.87),2.79(1.09,7.13),and 3.19(1.5,6.76)respectively.No gender difference was observed between the study populations.Gastritis was associated with an increased risk for GIM development with an HR of 1.62(1.07,2.44).On the other hand,H.pylori infection did not increase the risk for GIM.CONCLUSION An increase in age and non-Caucasian race/ethnicity are associated with an increased risk of GIM formation.The effect of H.pylori on GIM is limited in low prevalence areas. | Akram I Ahmad Arielle Lee Claire Caplan Colin Wikholm Ioannis Pothoulakis Zaynab Almothafer NishthaRaval Samantha Marshall Ankit Mishra Nicole Hodgins In Guk Kang Raymond K Chang Zachary Dailey Arvin Daneshmand Anjani Kapadia Jae Hak Oh Brittney Rodriguez Abhinav Sehgal Matthew Sweeney Christopher B Swisher Daniel F Childers Corinne O'Connor Lynette M Sequeira Won Cho | 2022 | World Journal of Gastrointestinal Endoscopy2022，14，10： | 1 |
| 6 | Voltage sensor charge loss accounts for most cases of hypokalemic periodic paralysis显示文摘 | Matthews E Labrum R Sweeney MG | 2009 | Neurology2009，72，18： | 1 |
| 7 | Voltage sensor charge loss accounts for most cases of hypokalemic periodic paralysis 显示文摘 | Matthews E Labrum R Sweeney MG | 2009 | Neurology2009，72，18： | 1 |
| 8 | Voltage sensor charge loss accounts for most cases of hypokalemic periodic paralysis显示文摘 | Matthews E Labrum R Sweeney MG | 2009 | Neurology2009，72，18： | 1 |
| 9 | Voltage sensor charge loss accounts for most cases of hypokalemic periodic paralysis 显示文摘 | Matthews E Labrum R Sweeney MG | 2009 | Neurology2009，72，18： | 1 |
| 10 | Delivery Outcomes in Non-Tertiary Referral Centers for Women with Congenital Heart Disease显示文摘Background:Women with congenital heart disease(CHD)have increased risk for adverse events during pregnancy and delivery.Prior studies have assessed pregnancy and delivery outcomes at tertiary referral centers(TRC).The aim of our study was to assess pregnancy outcomes in women with CHD who deliver in a non-tertiary referral center(non-TRC).Methods:Clinical demographics were collected,including anatomic complexity,physiologic state and pre-pregnancy risk assessment.Patients were stratified by delivery location,either TRC or non-TRC.Maternal and neonatal complications of pregnancy were reported.Results:Women with CHD who delivered in a TRC had a higher pre-pregnancy risk when assessed by the Zahar and CARPREG-II scores,and had more patients fall into a higher WHO classification.There was no difference in rates of maternal cardiac complications between delivery locations(11%)and neonatal complications(20%)between deliveries at TRC and non-TRC.Conclusions:There were not increased maternal cardiac or neonatal complications when delivery occurred at a non-TRC.Neonatal complications remained high regardless of delivery location.This study suggests that proper risk assessment may help identify women who are candidates for safe delivery at non-TRC in women with CHD,and that neonatal resources should be considered when planning delivery location. | Daniel Sweeney Scott Cohen Salil Ginde Jennifer Gerardin Peter Bartz Matthew Buelow | 2023 | Congenital Heart Disease2023，18，3： | 0 |
| 11 | Prediction of permanent pacemaker implantation after transcatheter aortic valve replacement:The role of machine learning显示文摘BACKGROUND Atrioventricular block requiring permanent pacemaker(PPM)implantation is an important complication of transcatheter aortic valve replacement(TAVR).Application of machine learning could potentially be used to predict preprocedural risk for PPM.AIM To apply machine learning to be used to predict pre-procedural risk for PPM.METHODS A retrospective study of 1200 patients who underwent TAVR(January 2014-December 2017)was performed.964 patients without prior PPM were included for a 30-d analysis and 657 patients without PPM requirement through 30 d were included for a 1-year analysis.After the exclusion of variables with near-zero variance or≥50%missing data,167 variables were included in the random forest gradient boosting algorithm(GBM)optimized using 5-fold cross-validations repeated 10 times.The receiver operator curve(ROC)for the GBM model and PPM risk score models were calculated to predict the risk of PPM at 30 d and 1 year.RESULTS Of 964 patients included in the 30-d analysis without prior PPM,19.6%required PPM post-TAVR.The mean age of patients was 80.9±8.7 years.42.1%were female.Of 657 patients included in the 1-year analysis,the mean age of the patients was 80.7±8.2.Of those,42.6%of patients were female and 26.7%required PPM at 1-year post-TAVR.The area under ROC to predict 30-d and 1-year risk of PPM for the GBM model(0.66 and 0.72)was superior to that of the PPM risk score(0.55 and 0.54)with a P value<0.001.CONCLUSION The GBM model has good discrimination and calibration in identifying patients at high risk of PPM post-TAVR. | Pradyumna Agasthi Hasan Ashraf Sai Harika Pujari Marlene Girardo Andrew Tseng Farouk Mookadam Nithin Venepally Matthew R Buras Bishoy Abraham Banveet K Khetarpal Mohamed Allam Siva K Mulpuru MD Mackram F Eleid Kevin L Greason Nirat Beohar John Sweeney David Fortuin David R Jr Holmes Reza Arsanjani | 2023 | World Journal of Cardiology2023，15，3： | 0 |
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