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1430 citation(s) found for "Qi, Nathan".

Sex differences in permanent pacemaker implantation after transcatheter aortic valve replacement: a systematic review and meta-analysis
Rivera, Frederick Berro , Whoy, Sung , Aparece, John Paul , Gonzales, Jacques Simon T., Salva, Wailea Faye, Bantayan, Nathan Ross B. , Carado, Genquen Phillip, Co, Michael Lawrenz , Collado, F. , Al-Abcha, Abdullah, Cha, Sung Whoy , Sharma, Vikram Kumar , Al‐Abcha, Abdullah , Santos Volgman, Annabelle

Expert Review of Cardiovascular Therapy | August 23, 2023 | Volume: 21 | Issue: 9 | Pages: 631-641

10.1080/14779072.2023.2250719 | PMID 37608465 Get It

P809: BASELINE CHARACTERISTICS IDENTIFYING PATIENTS WITH MULTIPLE MYELOMA TREATED WITH IDECABTAGENE VICELEUCEL (IDE-CEL; BB2121) WHO ARE AT RISK FOR SEVERE/REFRACTORY INFLAMMATORY ADVERSE EVENTS
Shamsuzzaman, Md, Basudhar, Debashree, Takhar, Mandeep, Kostić, Ana , Campbell, Timothy , Manier, Salomon , Lin, Yi, Martin, Nathan , Mashadi-Hossein, Afshin , Rytlewski, Julie

HemaSphere | August 22, 2023 | Volume: 7 | Issue: S3 | Pages: e1004207

10.1097/01.hs9.0000970140.10042.07 Get It

Skin Extracellular Matrix Breakdown Following Paclitaxel Therapy in Patients with Chemotherapy-Induced Peripheral Neuropathy
Staff, Nathan P. , Hrstka, Sybil , Dasari, Surendra , Capobianco, Enrico , Rieger, Sandra , Hrstka, Sybil C , Staff, Nathan P , Rieger, Sandra

Cancers | August 21, 2023 | Volume: 15 | Issue: 16 | Pages: 4191

10.3390/cancers15164191 | PMID 37627219 Get It

The chemotherapeutic agent paclitaxel causes peripheral neuropathy, a dose-limiting side effect, in up to 68% of cancer patients. In this study, we investigated the impact of paclitaxel therapy on the skin of breast cancer patients with chemotherapy-induced peripheral neuropathy (CIPN), building upon previous findings in zebrafish and rodents. Comprehensive assessments, including neurological examinations and quality of life questionnaires, were conducted, followed by intraepidermal nerve fiber (IENF) density evaluations using skin punch biopsies. Additionally, RNA sequencing, immunostaining for Matrix-Metalloproteinase 13 (MMP-13), and transmission electron microscopy provided insights into molecular and ultrastructural changes in this skin. The results showed no significant difference in IENF density between the control and CIPN patients despite the presence of patient-reported CIPN symptoms. Nevertheless, the RNA sequencing and immunostaining on the skin revealed significantly upregulated MMP-13, which is known to play a key role in CIPN caused by paclitaxel therapy. Additionally, various genes involved in the regulation of the extracellular matrix, microtubules, cell cycle, and nervous system were significantly and differentially expressed. An ultrastructural examination of the skin showed changes in collagen and basement membrane structures. These findings highlight the presence of CIPN in the absence of IENF density changes and support the role of skin remodeling as a major contributor to CIPN.
Clinical Phenotyping with an Outcomes-driven Mixture of Experts for Patient Matching and Risk Estimation
Hurley, Nathan C. , Dhruva, Sanket S. , Desai, Nihar R. , Ross, Joseph S. , Ngufor, Che , Masoudi, Frederick A. , Krumholz, Harlan M. , Mortazavi, Bobak J. , Ross, Joseph S , Ngufor, Che G , Masoudi, Frederick , Krumholz, Harlan M. , Mortazavi, Bobak J

ACM Transactions on Computing for Healthcare | August 18, 2023 | Volume: 4 | Issue: 4 | Pages: 1-18

10.1145/3616021 | PMID 37908872 Get It

Observational medical data present unique opportunities for analysis of medical outcomes and treatment decision making. However, because these datasets do not contain the strict pairing of randomized control trials, matching techniques are to draw comparisons among patients. A key limitation to such techniques is verification that the variables used to model treatment decision making are also relevant in identifying the risk of major adverse events. This article explores a deep mixture of experts approach to jointly learn how to match patients and model the risk of major adverse events in patients. Although trained with information regarding treatment and outcomes, after training, the proposed model is decomposable into a network that clusters patients into phenotypes from information available before treatment. This model is validated on a dataset of patients with acute myocardial infarction complicated by cardiogenic shock. The mixture of experts approach can predict the outcome of mortality with an area under the receiver operating characteristic curve of 0.85 ± 0.01 while jointly discovering five potential phenotypes of interest. The technique and interpretation allow for identifying clinically relevant phenotypes that may be used both for outcomes modeling as well as potentially evaluating individualized treatment effects.
What Patients Say About Their Orthopaedic Hand and Wrist Surgeons: A Qualitative Analysis of Negative Reviews on Yelp
Pollock, Jordan R. , Mujahed, Tala , Arthur, Jaymeson R. , Brinkman, Joseph C. , Atkinson, Christina M., Pollock, Nathan T., Smith, Jacob F. , Renfree, Kevin J. , Pollock, Jordan Riley

Journal of Wrist Surgery | August 17, 2023 | Volume: 13 | Issue: 03 | Pages: 202-207

10.1055/s-0043-1768924 | PMID 38808180 Get It

Abstract Background Patients often turn to online reviews as a source of information to inform their decisions regarding care. Existing literature has analyzed factors associated with positive online patient ratings among hand and wrist surgeons. However, there is limited in-depth analysis of factors associated with low patient satisfaction for hand and wrist surgeons. The focus of this study is to examine and characterize extremely negative reviews of hand and wrist surgeons on Yelp.com. Methods A search was performed using the keywords “hand surgery” on Yelp.com for eight major metropolitan areas including Washington DC, Dallas, New York, Phoenix, Los Angeles, San Francisco, Boston, and Seattle. Only single-star reviews (out of a possible 5 stars) of hand and wrist surgeons were included. The complaints in the 1-star reviews were then categorized into clinical and nonclinical categories. Result A total of 233 single-star reviews were included for analysis, which resulted in 468 total complaints. Of these complaints, 81 (18.8%) were clinically related and 351 (81.3%) were nonclinical in nature. The most common clinical complaints were for complication (24 complaints, 6%), misdiagnosis (16 complaints, 4%), unclear treatment plan (16 complaints, 4%), and uncontrolled pain (15 complaints, 3%). The most common nonclinical complaints were for physician bedside manner (93 complaints, 22%), financially related (80 complaints, 19%), unprofessional nonclinical staff (61 complaints, 14%), and wait time (46 complaints, 11%). The difference in the number of complaints for surgical and nonsurgical patients was statistically significant (p < 0.05) for complication and uncontrolled pain. Clinical Relevance Patient satisfaction is dependent on a multitude of clinical and nonclinical factors. An awareness of online physician ratings is essential for hand and wrist surgeons to maintain and improve patient care and patient satisfaction. We believe the results of our study could be used to further improve the quality of care provided by hand and wrist surgeons.
Systemic Anticancer Therapy and Thromboembolic Outcomes in Hospitalized Patients With Cancer and COVID-19
Hsu, Chih–Yuan , Shah, Surbhi, Zon, Rebecca L. , Alsamarai, Susan, El-Bakouny, Ziad, Beeghly, Alicia, Doroshow, Deborah B. , Flora, Daniel , Fromowitz, Ariel, Jani, Chinmay , Khan, Hina, Klein, Elizabeth J. , Heater, Natalie Knox , Koshkin, Vadim S. , Kwon, Daniel H. , McKay, Rana R. , Nonato, Taylor K., Polimera, Hyma , Puc, Matthew , Shastri, Aditi , Singh, Sunny , Weissmann, Lisa B., Wilkins, Cy R. , Yoon, James J., Mishra, Sanjay , Grivas, Petros , Connors, Jean M. , Gandhi, Rikin, Gartrell, Benjamin A. , Makower, Della , Sullivan, Darciann O', Ohri, Nitin , Verma, Amit , Butt, Omar H. , Fiala, Mark A. , Monahan, Ryan, Bitran, Jacob D. , Hallmeyer, Sigrun , Mundt, Daniel , Pandravada, Sasirekha, Papaioannou, Philip V., Patel, Mauli, Streckfuss, Mitrianna, Tadesse, Eyob, Lammers, Philip E. , Bindal, Poorva , Lam, Barbara C.C., Piper‐Vallillo, Andrew J., Arvanitis, Panos , Vieira, Kendra, Angevine, Anne H., Bär, Michael, Prete, Salvatore A. Del , Fiebach, Maryann Z., Gulati, Anthony P., Hatton, Edward H., Houston, Kaly, Lo, K. M. Steve, Stratton, Jamie , Weinstein, Paul L., García, Jorge A. , Routy, Bertrand , Hoyo-Ulloa, Irma , Gupta, Shilpa , Sharifi, Nima , Hoppenot, Claire , Demetri, George D., Zarif, Talal El , Freeman, Dory , Nohria, Anju, Tolaney, Sara M. , Zhang, Tian , Dzimitrowicz, Hannah, Leighton, John, Lynch, Ryan C. , Portuguese, Andrew J. , Schweizer, Michael T. , Vinayak, Shaveta , Wagner, Michael J. , Dansoa, Yvonne , Manikowski, Jesse J. , Vadakara, Joseph , Yossef, Kristena, Beckerman, Jennifer, Goyal, Sharad , Messing, Ian , Provenzano, Destie , Steffes, Dawn R., Clément, Jessica , Cosin, Jonathan A. , Daher, Ahmad , Dailey, Mark E., Hosmer, Wylie, Hsu, Emily , Jayaraj, Asha, Mather, Jeff, Menendez, Alvaro G. , Nadkarni, Rajani, Serrano, Oscar K. , Tejwani, Sheela , Accordino, Melissa , Bodin, Brianne E, Khan, Shaheer , Masson, Cynthia, Alexander, Mariam , Matar, Sara , Bernicker, Eric , Deeken, John F. , Jeffords, Kelly J., Shafer, Danielle , Cárdenas‐Delgado, Ana I., Campos, Rogelio Cuervo, Ramirez, Ana, Valdez-Reyes, Nadia Melissa, Gill, David , Lewis, Mark A. , Low, Clarke A., Rhodes, Terence D., Jones, Michelle, Mansoor, Abdul-Hai, Mashru, Sandeep H., Werner, Mica A., Cohen, Aaron , Hayes‐Lattin, Brandon , Nemecek, Eneida R. , Williamson, Staci, Lewis, Grant C., Smith, Stephanie J., Akhtari, Mojtaba, Castillo, Dan R., Cortez, Kimberly, Park, Kyu, Reeves, Mark E. , O’Connor, Timothy E. , Altman, Jessica K. , Gurley, Michael, Mulcahy, Mary F. , Kulkarni, Amit , Ramesh, Vidhyalakshmi , Wilson, Grace L. , Bardia, Aditya , Gainor, Justin F. , Peppercorn, Jeffrey , Reynolds, Kerry L. , Zubiri, Leyre , Campian, Jian , Riaz, Irbaz B, Williams, Colt , Bonnen, Mark , Mahadevan, Daruka , Salazar, Mary, Wang, Chen‐Pin , Bouganim, Nathaniel , Elkrief, Arielle , Moria, Feras, Panasci, Justin , Nanchal, Rahul , Bahadur, Nadia , Nambiar, Puja H. , Papadopoulos, Esperanza B. , Riely, Gregory J. , Rosenberg, Jonathan E., Cerrone, Kim, Dill, Jennifer A. , Faller, Bryan A. , Ajmera, Archana , Brouha, Sharon S. , Choi, Sharon , Bhatt, Padmanabh , Mariano, Melissa G., Thomson, Carey C. , Glace, Mary Grace, Knoble, Jeanna, Zacks, Rosemary, Blau, Sibel , Brown, CarrieAnn, Namburi, Swathi, Pomerantz, Lauren , Rovito, Marc A., Advani, Pragati E., Cronin, Tara, Fleissner, Bridget, Goel, Shipra , Gopalakrishnan, Dharmesh , Hernandez‐Ilizaliturri, Francisco J. , Kariapper, Ariffa, Levine, Ellis , Wicher, Camille P., Misdary, Christian, Shah, Mansi , Batist, Gerald , Cook, Erin , Esfahani, Khashayar , Ferrario, Cristiano , Lau, Susie , Ma, Kim, Rudski, Lawrence , Dutra, Míriam Santos , Mahmood, Sana , Mico, Vasil, Rivera, Andrea Verghese, Dixon, Becky, Heilman, Hannah, Logan, Barbara, Mandapakala, Chaitanya, Cabebe, Elwyn C., Glover, Michael , Jha, Alokkumar , Schapira, Lidia , Shah, Sumit , Subbiah, Suki , Lopes, Gilberto , Cardenas, Karen de, Russell, Karen , Stith, Brittany, Taylor, Sharona, Klamerus, Justin F., Revankar, Sanjay G. , Addison, Daniel , Chen, James L. , Pillainayagam, Clement, Wall, Sarah , Williams, Nicole , Abbasi, Saqib Hussen, Annis, Sandy, Greenland, Steven, Jones, Regina, Kasi, Anup , Rock, Crosby D. , Wulff‐Burchfield, Elizabeth , Smits, Melissa, Weiß, Matthias , Chism, David D. , Owenby, Susie, Ang, Celina , Galsky, Matthew D. , Metzger, Megan , Uyehara, Catherine, Lashley, Latoya N., Sueyoshi, Mark, Patel, Kanishka G. , Riess, Jonathan W. , Borno, Hala T. , Rubinstein, Samuel M. , Ahmad, Syed A. , Grover, Punita , Jandarov, Roman , Kharofa, Jordan , Marcum, Michelle, Sohal, Davendra , Zamulko, Olga , Balmaceda, Nicole , Geiger, Christopher L., Russ, Atlantis Dawn, Saker, Haneen , Choi, Horyun, Feldman, Lawrence , Gantt, Gerald, Hoskins, Kent , Khan, Mahir, Liu, Li , Nguyen, Ryan H., Schwartz, Candice, Venepalli, Neeta K. , Boldt, Anne, Fecher, Leslie A. , Su, Chris, Bijjula, Ragneel R., Mavromatis, Blanche H., Seletyn, Mildred E., Wood, Barbara R., Kaklamani, Virginia , Charles, Lawrence J., Cheng, Alex , Ding, Tan , Enriquez, Kyle T. , French, Benjamin , Gillaspie, Erin A. , Hennessy, Cassandra , Johnson, Douglas B. , Lewis, Judy T., Reid, Sonya , Saif, Sara, Slosky, David, Solórzano, Carmen C. , Sun, Tianyi , Yang, Yuanchu James , Carducci, Theresa M., Goldsmith, Karen J., Loon, Susan Van, Topaloĝlu, Ümit , Moore, Joan K., Cabalona, Wilhelmina D., Shisler, Elizabeth, McCollough, Briana Barrow, Peddi, Prakash , Rosen, L, Bilen, Mehmet Asım , Castellano, Cecilia A. , Ravindranathan, Deepak , LoRusso, Patricia , Lustberg, Maryam B. , Masters, Tyler, Mishra, Sanjay , Zubiri, Leyre , Fiala, Mark A , Bilen, Mehmet A , Portuguese, Andrew J , Lustberg, Maryam , Gulati, Shuchi , Shah, Pankil , Awosika, Joy A. , Bashir, Babar , Berg, Stephanie , De‐la‐Rosa‐Martinez, Daniel , Egan, Pamela , Fein, Joshua Alexander , Friese, Christopher R. , Griffiths, Elizabeth A. , Hwang, Clara , Joshi, Monika , Labaki, Chris , Latif, Tahir , Nagaraj, Gayathri , Nakasone, Elizabeth S. , Razavi, Pedram , Ruíz‐García, Erika , Saliby, Renée Maria , Tagalakis, Vicky , Vilar‐Compte, Diana , Wise-Draper, Trisha Michel , Wotman, Michael T. , Shyr, Yu , Warner, Jeremy L. , Shah, Dimpy P. , Rosovsky, Rachel , Goel, Sanjay , Halmos, Balázs , Sica, Roberto Alejandro , Henderson, Jeffrey P. , Stockerl‐Goldstein, Keith , Zhou, Alice Y. , Tadesse, Eyob, Thompson, Michael A. , Loree, Jonathan M. , Lam, Barbara, Peters, Mary Linton B , Farmakiotis, Dimitrios , Olszewski, Adam J. , Hatton, Edward, Rose, Suzanne J. , Nizam, Amanda , Pennell, Nathan A , Li, Ang , Bitterman, Danielle S. , Choueiri, Toni K. , Florez, Narjust , Giordano, Antonio , Morgans, Alicia K. , Nohria, Anju , Van Allen, Eliezer M , Xu, Wenxin Vincent , Halabi, Susan , Graber, Jerome J. , Hawley, Jessica E. , Loggers, Elizabeth T , Lyman, Gary H , Su, Christopher , Tachiki, Lisa , Yeh, Albert C. , Gatson, Na Tosha , Makary, Mina S. , Rao, Yuan James , Rosenstein, Lori J. , Elias, Rawad , Eton, Omar , Yu, Peter Paul , Gadgeel, Shirish M. , Bhutani, Divaya , Hershman, Dawn L. , Ingham, Matthew , Schwartz, Gary K. , Reuben, Daniel Y. , McWeeney, Shannon K. , Wehbe, Firas , Durbin, Eric B. , Nelson, Heather H. , Sachs, Zohar , Wilson, Grace, Boland, Genevieve M. , Smith, Katherine E. , Bekaii‐Saab, Tanios , Desai, Aakash , Hálfdánarson, Þorvarður R. , Joyner, Michael J. , Senefeld, Jonathon W. , Ramirez, Amelie G , Mesa, Ruben A. , Papenburg, Jesse , Vinh, Donald Cuong , Singh, Harpreet , Bao, Ting , O'Cearbhaill, Roisin E , Philip, John, Robson, Mark E. , Rosenberg, Jonathan E., Schoenfeld, Adam Jacob , Tamimi, Rulla M. , Dill, Jennifer, Hsiao, Albert , Reid, Erin G , Rink, Cameron L. , Jain, Prantesh , Moffitt, Melissa , O’Connor, Tracey L. , Puzanov, Igor , Smith, Laurie J., Zsíros, Emese , Jabbour, Salma K , Cook, Erin, Miller, Wilson H. , Wilchesky, Machelle , McNair, Christopher M. , Khaki, Ali Raza , Nagpal, Seema , Wu, Julie , Whaley, David, Gatti-Mays, Margaret Elena , Jhawar, Sachin R. , Palmer, Joshua D. , Stover, Daniel G. , Weiss, Matthias, Berenberg, Jeffrey L. , Fazio, Alyson, Huber, Kathryn E. , Small, Eric J. , Zhang, Sylvia , Andermann, Tessa M. , Jensen, Christopher Edward , Wood, William A. , Li, Ningjing , Abidi, Maheen Z. , Bowles, Daniel W. , Markham, Merry Jennifer , Acoba, Jared David , Rho, Young Soo, Nguyen, Ryan H., Pasquinelli, Mary M. , Vikas, Praveen , Zakharia, Yousef , Zaman, Qamar U., Brown, Alaina J. , Crispens, Marta Ann , Croessmann, Sarah , Davis, Elizabeth J. , Ding, Tan, Duda, Stephany N. , Hausrath, Daniel J. , Li, Xuanyi , Prescott, Lauren Shore , Wang, Lucy Lu , Aboulafia, David M. , Hafez, Navid , Herbst, Roy S. , Stratton, Catherine , Painter, Corrie , Peters, Solange

JAMA Oncology | August 17, 2023 | Volume: 9 | Issue: 10 | Pages: 1390

10.1001/jamaoncol.2023.2934 | PMID 37589970 Get It

ImportanceSystematic data on the association between anticancer therapies and thromboembolic events (TEEs) in patients with COVID-19 are lacking.ObjectiveTo assess the association between anticancer therapy exposure within 3 months prior to COVID-19 and TEEs following COVID-19 diagnosis in patients with cancer.Design, Setting, and ParticipantsThis registry-based retrospective cohort study included patients who were hospitalized and had active cancer and laboratory-confirmed SARS-CoV-2 infection. Data were accrued from March 2020 to December 2021 and analyzed from December 2021 to October 2022.ExposureTreatments of interest (TOIs) (endocrine therapy, vascular endothelial growth factor inhibitors/tyrosine kinase inhibitors [VEGFis/TKIs], immunomodulators [IMiDs], immune checkpoint inhibitors [ICIs], chemotherapy) vs reference (no systemic therapy) in 3 months prior to COVID-19.Main Outcomes and MeasuresMain outcomes were (1) venous thromboembolism (VTE) and (2) arterial thromboembolism (ATE). Secondary outcome was severity of COVID-19 (rates of intensive care unit admission, mechanical ventilation, 30-day all-cause mortality following TEEs in TOI vs reference group) at 30-day follow-up.ResultsOf 4988 hospitalized patients with cancer (median [IQR] age, 69 [59-78] years; 2608 [52%] male), 1869 had received 1 or more TOIs. Incidence of VTE was higher in all TOI groups: endocrine therapy, 7%; VEGFis/TKIs, 10%; IMiDs, 8%; ICIs, 12%; and chemotherapy, 10%, compared with patients not receiving systemic therapies (6%). In multivariable log-binomial regression analyses, relative risk of VTE (adjusted risk ratio [aRR], 1.33; 95% CI, 1.04-1.69) but not ATE (aRR, 0.81; 95% CI, 0.56-1.16) was significantly higher in those exposed to all TOIs pooled together vs those with no exposure. Among individual drugs, ICIs were significantly associated with VTE (aRR, 1.45; 95% CI, 1.01-2.07). Also noted were significant associations between VTE and active and progressing cancer (aRR, 1.43; 95% CI, 1.01-2.03), history of VTE (aRR, 3.10; 95% CI, 2.38-4.04), and high-risk site of cancer (aRR, 1.42; 95% CI, 1.14-1.75). Black patients had a higher risk of TEEs (aRR, 1.24; 95% CI, 1.03-1.50) than White patients. Patients with TEEs had high intensive care unit admission (46%) and mechanical ventilation (31%) rates. Relative risk of death in patients with TEEs was higher in those exposed to TOIs vs not (aRR, 1.12; 95% CI, 0.91-1.38) and was significantly associated with poor performance status (aRR, 1.77; 95% CI, 1.30-2.40) and active/progressing cancer (aRR, 1.55; 95% CI, 1.13-2.13).Conclusions and RelevanceIn this cohort study, relative risk of developing VTE was high among patients receiving TOIs and varied by the type of therapy, underlying risk factors, and demographics, such as race and ethnicity. These findings highlight the need for close monitoring and perhaps personalized thromboprophylaxis to prevent morbidity and mortality associated with COVID-19–related thromboembolism in patients with cancer.
High prevalence of frailty in patients with adrenal adenomas and adrenocortical hormone excess: a cross-sectional multi-centre study with prospective enrolment
Dogra, Prerna , Šambula, Lana, Saini, Jasmine , Thangamuthu, Karthik, Athimulam, Shobana , Delivanis, Danae A. , Baikousi, Dimitra, Nathani, Rohit , Zhang, Catherine D , Genere, Natalia , Salman, Zara, Ambroziak, Urszula , Garcia, Raul Gregg , Achenbach, Sara J., Atkinson, Elizabeth J. , Singh, Sumitabh , Kaštelan, Darko , Garcia, Raul G, Bancos, Irina , Saini, Jasmine , Ambroziak, Urszula , Garcia, Raul G , Kastelan, Darko , Thangamuthu, Karthik, Turcu, Adina F. , LeBrasseur, Nathan K. , Bancos, Irina

European Journal of Endocrinology | August 16, 2023 | Volume: 189 | Issue: 3 | Pages: 318-326

10.1093/ejendo/lvad113 | PMID 37590964 Get It

Abstract Objective Frailty, characterized by multi-system decline, increases vulnerability to adverse health outcomes and can be measured using Frailty Index (FI). We aimed to assess the prevalence of frailty in patients with adrenal disorders (based on hormonal sub-type) and examine association between FI and performance-based measures of physical function. Design Multi-centre, cross-sectional study (March 2019-August 2022). Methods Adult patients with adrenal disorders (non-functioning adrenal adenomas [NFA], mild autonomous cortisol secretion [MACS], Cushing syndrome [CS], primary aldosteronism [PA]) and referent subjects without adrenal disorders completed a questionnaire encompassing 47 health variables (comorbidities, symptoms, daily living activities). FI was calculated as the average score of all variables and frailty defined as FI ≥ 0.25. Physical function was assessed with hand grip, timed up-and-go test, chair rising test, 6-minute walk test, and gait speed. Results Compared to referent subjects (n = 89), patients with adrenal disorders (n = 520) showed increased age, sex, and body mass index-adjusted prevalence of frailty (CS [odds ratio—OR 19.2, 95% confidence interval—CI 6.7-70], MACS [OR 12.5, 95% CI 4.8-42.9], PA [OR 8.4, 95% CI 2.9-30.4], NFA [OR 4.5, 95% CI 1.7-15.9]). Prevalence of frailty was similar to referent subjects when post-dexamethasone cortisol was &lt;28 nmol/L and was higher when post-dexamethasone cortisol was 28-50 nmol/L (OR 4.6, 95% CI 1.7-16.5). FI correlated with all measures of physical function (P &lt; .001). Conclusions Whilst frailty prevalence was highest in patients with adrenocortical hormone excess, even patients with NFA demonstrated an increased prevalence compared to the referent population. Future longitudinal studies are needed to evaluate the impact of various management strategies on frailty.
Efficacy of Ketamine with and without Lamotrigine in Treatment-Resistant Depression: A Preliminary Report
Núñez, Nicolás A. , Kung, Simon , Voort, Jennifer L. Vande , Schak, Kathryn M. , Boehm, Stacey M., Carpenter, Brooke, Johnson, Emily K. , Malyshev, Grigoriy, Smits, Nathan , Adewunmi, Daniel O., Brown, Sarah K , Singh, Balwinder , Joseph, Boney , Vande Voort, Jennifer L , Singh, Balwinder , Joseph, Boney , Pazdernik, Vanessa , Smits, Nathan

Pharmaceuticals | August 16, 2023 | Volume: 16 | Issue: 8 | Pages: 1164

10.3390/ph16081164 | PMID 37631079 Get It

Intravenous (IV) ketamine and FDA-approved intranasal (IN) esketamine are increasingly used for treatment-resistant depression (TRD). Preliminary studies have suggested a synergistic effect of ketamine and lamotrigine, although the data are inconclusive. Herein, we report the response to serial ketamine/esketamine treatment among patients with TRD with or without lamotrigine therapy. In this historical cohort study, we included adult patients with TRD who received serial IV racemic ketamine (0.5 mg/kg over 40−100 min) or IN esketamine (56/84 mg) treatments. A change in depressive symptoms was assessed using the 16-item Quick Inventory of Depressive Symptomatology self-report (QIDS-SR) scale. There were no significant differences in response or remission rates among the patients on or not on lamotrigine during the ketamine/esketamine treatments. For a percent change in the QIDS-SR from baseline, no interaction was found between the lamotrigine groups and treatment number (p = 0.70), nor the overall effect of the group (p = 0.38). There was a trend towards lower dissociation (based on the CADSS score) among current lamotrigine users, especially in patients who received IV ketamine. A major limitation is the limited number of patients taking lamotrigine (n = 13). This preliminary study provides insufficient evidence that continuing lamotrigine therapy attenuates the antidepressant effect of repeated ketamine/esketamine; however, there seems to be a signal toward attenuating dissociation with lamotrigine in patients receiving serial ketamine treatments. Further observational studies or randomized controlled trials are needed to replicate these findings.
Imaging of Fontan-Associated Liver Disease
Brown, Mark J. F. , Kolbe, Amy B. , Hull, Nathan C. , Hilscher, Moira , Kamath, Patrick S. , Yalon, Mariana , Gu, Chris N., Amawi, Ali Dean Tahboub , Wells, Michael , Brown, Mark J., Venkatesh, Sudhakar K.

Journal of Computer Assisted Tomography | August 14, 2023 | Volume: 48 | Issue: 1 | Pages: 1-11

10.1097/rct.0000000000001533 | PMID 37574655 Get It

Abstract The Fontan procedure is the definitive treatment for patients with single-ventricle physiology. Surgical advances have led to a growing number of patients surviving into adulthood. Fontan-associated liver disease (FALD) encompasses a spectrum of pathologic liver changes that occur secondary to altered physiology including congestion, fibrosis, and the development of liver masses. Assessment of FALD is difficult and relies on using imaging alongside of clinical, laboratory, and pathology information. Ultrasound, computed tomography, and magnetic resonance imaging are capable of demonstrating physiologic and hepatic parenchymal abnormalities commonly seen in FALD. Several novel imaging techniques including magnetic resonance elastography are under study for use as biomarkers for FALD progression. Imaging has a central role in detection and characterization of liver masses as benign or malignant. Benign FNH-like masses are commonly encountered; however, these can display atypical features and be mistaken for hepatocellular carcinoma (HCC). Fontan patients are at elevated risk for HCC, which is a feared complication and has a poor prognosis in this population. While imaging screening for HCC is widely advocated, no consensus has been reached regarding an optimal surveillance regimen.
Changes in amount and intensity of physical activity over time in breast cancer survivors
Marell, Paulina S. , Herrmann, Joerg , Larson, Nicole L. , D’Andre, Stacy D, Barksdale, Toure, Loprinzi, Charles L. , Ruddy, Kathryn J. , D'Andre, Stacy D, Ehlers, Diane K. , Ruddy, Kathryn J , Vierkant, Robert A. , Olson, Janet E. , LeBrasseur, Nathan K. , Stan, Daniela , Cheville, Andrea , Barksdale, Touré, Couch, Fergus J.

JNCI Cancer Spectrum | August 9, 2023 | Volume: 7 | Issue: 5 | Pages: No page available

10.1093/jncics/pkad056 | PMID 37561108 Get It

Abstract Background Physical activity is associated with decreased breast cancer recurrence and mortality, as well as fewer treatment-related symptoms. Nevertheless, most breast cancer survivors do not meet physical activity guidelines. The purpose of this manuscript is to characterize physical activity trends over time in breast cancer survivors. Methods Mayo Clinic Breast Disease Registry participants received surveys at baseline and at 1 and 4 years after diagnosis; breast cancer recurrence and/or metastatic disease were exclusion criteria. Participants were considered to be meeting guidelines if they self-reported at least 150 minutes of moderate-intensity (eg, fast walking) and/or strenuous (eg, jogging) physical activity per week. Statistical analyses include analysis of covariance methods, paired t tests, conditional logistic regression models, and McNemar tests of homogeneity. Results A total of 171 participants were included in the analysis. The amount of total physical activity decreased over time (P = .07). Mild-intensity physical activity (eg, easy walking) decreased most over time (P = .05). Among participants aged 18-49 years, mild-intensity (P = .05) and moderate-intensity (P = .02) physical activity decreased over time. Strenuous-intensity physical activity levels decreased over time among participants with a normal body mass index (P = .002) and with obesity (P = .01). Conclusions We found a trend-level decrease in total physical activity over time, driven mostly by a decrease in mild-intensity physical activity. Young breast cancer survivors are especially likely to reduce their physical activity over time. Further research on implementing physical activity guidelines in clinical practice is warranted.