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1727 citation(s) found for "So, Alan".

Etiologic Possibilities for Increased Pelvic Floor Electromyography Activity During Cystometry
Barrett, David M. , Wein, Alan J.

Mayo Clinic

Journal of Urology | June 30, 2017 | Volume: 127 | Issue: 5 | Pages: 949-951

10.1016/s0022-5347(17)54142-7 | PMID 7201030 Get It

Flow Evaluation and Simultaneous External Sphincter electromyography in Clinical Urodynamics
Barrett, David M. , Wein, Alan J., Wein, Alan J.

Mayo Clinic

Journal of Urology | June 30, 2017 | Volume: 125 | Issue: 4 | Pages: 538-541

10.1016/s0022-5347(17)55098-3 | PMID 7218455 Get It

The Clinical Usefulness of Prostate Specific Antigen: Update 1994
Partin, Alan W. , Oesterling, Joseph E.

Mayo Clinic

Journal of Urology | June 30, 2017 | Volume: 152 | Issue: 5 Part 1 | Pages: 1358-1368

10.1016/s0022-5347(17)32422-9 | PMID 7523702 Get It

Oncogenic Ect2 signaling regulates rRNA synthesis in NSCLC
Justilien, Verline , Lewis, Kayla C., Murray, Nicole R., Fields, Alan P.

Mayo Clinic

Small GTPases | June 28, 2017 | Volume: 10 | Issue: 5 | Pages: 388-394

10.1080/21541248.2017.1335274 | PMID 28657426 Get It

Mutant Fibulin-3 Causes Proteoglycan Accumulation and Impaired Diffusion Across Bruch's Membrane
Zayas‐Santiago, Astrid , Cross, Samuel D., Stanton, J. Brett, Marmorstein, Alan D. , Marmorstein, Lihua Y., Marmorstein, Alan D

Mayo Clinic

Investigative Opthalmology & Visual Science | June 16, 2017 | Volume: 58 | Issue: 7 | Pages: 3046

10.1167/iovs.17-21720 | PMID 28622396 Get It

Oral anticoagulation management in patients with atrial fibrillation undergoing cardiac implantable electronic device implantation
Black‐Maier, Eric , Kim, Sunghee , Steinberg, Benjamin A. , Fonarow, Gregg C. , Kowey, Peter R. , Ansell, Jack , Mahaffey, Kenneth W. , Go, Alan S. , Piccini, Jonathan P. , Investigators, for the Outcomes Registry for Better Informed Treatment of Atrial Fibrillation (ORBIT‐AF), Freeman, James V. , Gersh, Bernard J. , Naccarelli, Gerald V. , Hylek, Elaine M. , Peterson, Eric D. , Investigators, for the Outcomes Registry for Better Informed Treatment of Atrial Fibrillation (ORBIT‐AF), Steinberg, Benjamin A

Mayo Clinic

Clinical Cardiology | May 23, 2017 | Volume: 40 | Issue: 9 | Pages: 746-751

10.1002/clc.22726 | PMID 28543401 Get It

BackgroundOral anticoagulation (OAC) therapy is associated with increased periprocedural risks after cardiac implantable electronic device (CIED) implantation. Patterns of anticoagulation management involving non–vitamin K antagonist oral anticoagulants (NOACs) have not been characterized.HypothesisAnticoagulation strategies and outcomes differ by anticoagulant type in patients undergoing CIED implantation.MethodsUsing the nationwide Outcomes Registry for Better Informed Treatment of Atrial Fibrillation, we assessed how atrial fibrillation (AF) patients undergoing CIED implantation were cared for and their subsequent outcomes. Outcomes were compared by oral anticoagulant therapy (none, warfarin, or NOAC) as well as by anticoagulation interruption status.ResultsAmong 9129 AF patients, 416 (5%) underwent CIED implantation during a median follow‐up of 30 months (interquartile range, 24–36). Of these, 60 (14%) had implantation on a NOAC. Relative to warfarin therapy, those on a NOAC were younger (70.5 years [range, 65–77.5 years] vs 77 years [range, 70–82 years]), had less valvular heart disease (15.0% vs 31.3%), higher creatinine clearance (67.3 [range, 59.7–99.0] vs 65.8 [range, 50.0–91.6]), were more likely to have persistent AF (26.7% vs 22.9%), and use concomitant aspirin (51.7% vs 35.2%). OAC therapy was commonly interrupted for CIED in 64% (n = 183 of 284) of warfarin patients and 65% (n = 39 of 60) of NOAC patients. Many interrupted patients received intravenous bridging anticoagulation: 33/183 (18%) interrupted warfarin and 4/39 (10%) interrupted NOAC patients. Thirty‐day periprocedure bleeding and stroke adverse events were infrequent.ConclusionsManagement of anticoagulation among AF patients undergoing CIED implantation is highly variable, with OAC being interrupted in more than half of both warfarin‐ and NOAC‐treated patients. Bleeding and stroke events were infrequent in both warfarin and NOAC‐treated patients.
Exploring the Predictive Ability of Dysfunctional High-Density Lipoprotein for Adverse Outcomes in Emergency Department Patients with Sepsis: A Preliminary Investigation
Guirgis, Faheem W. , Dodani, Sunita , Moldawer, Lyle L. , Leeuwenburgh, Christiaan , Bowman, Jennifer, Kalynych, Colleen , Jones, Alan E. , Reddy, Srinivasa T. , Moore, Frederick A.

Mayo Clinic

Shock | April 28, 2017 | Volume: 48 | Issue: 5 | Pages: 539-544

10.1097/shk.0000000000000887 | PMID 28452909 Get It

ABSTRACT Background: High density lipoprotein (HDL) can be readily oxidized in inflammatory conditions and exhibit pro-inflammatory and dysfunctional (Dys-HDL) characteristics. We hypothesize that Dys-HDL may predict adverse outcomes and correlate with inflammatory cytokines in sepsis. Methods: Emergency department (ED) patients with sepsis were enrolled. Blood was drawn at enrollment and after 48 h. Dys-HDL, expressed as HDL inflammatory index (HII), and cytokines were measured. Multivariable logistic regression was used to determine the predictive ability of Dys-HDL for adverse outcomes (death, discharge to hospice, or nursing home). Results: Thirty-five patients were included in the study. HII was not significantly different at baseline or 48 h between patients with adverse outcomes versus those without. However, there was a significant difference in change in HII over the first 48 h between those with adverse outcomes (+0.21, 95% CI −0.13 to 0.31) versus those without (−0.11, 95% CI −1 to 0.11) (P = 0.025). Logistic regression revealed increasing HII to be an independent predictor of adverse outcomes (OR 5.2, 95% CI 1.1–25.1 P = 0.040). Of the 24 patents with cytokine measurements at both time points, significant inverse correlations between change in HII and change in GRO (rs = −0.52, P = 0.0088) and monocyte chemotactic protein-1 (rs = −0.61, P = 0.0014) concentrations over 48 h were observed. Conclusion: Increasing Dys-HDL concentrations in the first 48 h of sepsis are associated with an ongoing inflammatory response and adverse clinical outcomes. Early changes in HII may be a potential biomarker in ED patients admitted with sepsis.
Automated T‐wave analysis can differentiate acquired QT prolongation from congenital long QT syndrome
Sugrue, Alan , Křemen, Václav , Bos, J. Martijn , Qiang, Bo , Rohatgi, Ram K., Sapir, Yehu , Brady, Peter A. , Asirvatham, Samuel J. , Friedman, Paul A. , Ackerman, Michael J. , Caraballo, Pedro J. , Noseworthy, Peter A. , Attia, Zachi I. , Asirvatham, Samuel J , Kremen, Vaclav , Bos, Johan M

Mayo Clinic

Annals of Noninvasive Electrocardiology | April 21, 2017 | Volume: 22 | Issue: 6 | Pages: No page available

10.1111/anec.12455 | PMID 28429460 Get It

BackgroundProlongation of the QT on the surface electrocardiogram can be due to either genetic or acquired causes. Distinguishing congenital long QT syndrome (LQTS) from acquired QT prolongation has important prognostic and management implications. We aimed to investigate if quantitative T‐wave analysis could provide a tool for the physician to differentiate between congenital and acquired QT prolongation.MethodsPatients were identified through an institution‐wide computer‐based QT screening system which alerts the physician if the QTc ≥ 500 ms. ECGs were retrospectively analyzed with an automated T‐wave analysis program. Congenital LQTS was compared in a 1:3 ratio to those with an identified acquired etiology for QT prolongation (electrolyte abnormality and/or prescription of known QT prolongation medications). Linear discriminant analysis was performed using 10‐fold cross‐validation to statistically test the selected features.ResultsThe 12‐lead ECG of 38 patients with congenital LQTS and 114 patients with drug‐induced and/or electrolyte‐mediated QT prolongation were analyzed. In lead V5, patients with acquired QT prolongation had a shallower T wave right slope (−2,322 vs. −3,593 mV/s), greater T‐peak‐Tend interval (109 vs. 92 ms), and smaller T wave center of gravity on the x axis (290 ms vs. 310 ms; p < .001). These features could distinguish congenital from acquired causes in 77% of cases (sensitivity 90%, specificity 58%).ConclusionT‐wave morphological analysis on lead V5 of the surface ECG could successfully differentiate congenital from acquired causes of QT prolongation.