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759 citation(s) found for "Lake, DF".

Novel prognostic scoring system for autologous hematopoietic cell transplantation in multiple myeloma
Dhakal, Binod , D’Souza, Anita , Chhabra, Saurabh , Fraser, Raphael , Dávila, Omar, Badawy, Sherif M. , Černý, Jan , Comenzo, Raymond L. , Chakraborty, Rajshekhar , Kamble, Rammurti T., Kharfan‐Dabaja, Mohamed A. , Krem, Maxwell M. , Ganguly, Siddhartha , Janakiram, Murali , Munker, Reinhold , Murthy, Hemant S. , Kumar, Shaji , Shah, Nina , Qazilbash, Muzaffar H. , Chhabra, Saurabh , Comenzo, Raymond , Chakraborty, Rajshekhar , Patel, Sagar , Kumar, Shaji K , D'Souza, Anita , Murthy, Hemant S , Badawy, Sherif M , Janakiram, Murali , Dhakal, Binod , Callander, Natalie S. , Anderson, Kenneth C. , Assal, Amer , Berdeja, Jesús G. , Gale, Robert Peter , Kansagra, Ankit , Patel, Sagar S. , Hari, Parameswaran

British Journal of Haematology | October 23, 2020 | Volume: 191 | Issue: 3 | Pages: 442-452

10.1111/bjh.16987 | PMID 33094839 Get It

AbstractWe studied 2,528 patients with upfront autologous haematopoietic cell transplantation (AHCT) for multiple myeloma (MM) from 2008–2017 to develop a prognostic model to predict outcomes. High‐risk cytogenetics included t(4;14), t(14;16), t(14;20), del13q on karyotype, del17p, +1q or 1pdel. A Cox model identified factors prognostic of progression/relapse in a training subset (n = 1,246). A weighted score using these factors was assigned to a validation cohort (n = 774). Presence of high‐risk cytogenetics [hazard ratio, (HR) 1·68 (1·3–2·17)] and pre‐AHCT bone marrow plasma cells (BMPCs) ≥10% [1·68 (1·33–2·12)] were assigned 4 points each; albumin at diagnosis <3·5 g/dl [1·31 (1·07–1·61)] 2; standard risk cytogenetics 1, and no cytogenetics abnormality, BMPCs <10% at AHCT and albumin ≥3·5 g/dl at diagnosis 0 points each. A three‐category system with low risk (0–3), intermediate risk (4–8) and high risk (9–10) showed 3‐year progression‐free survival in the low vs. intermediate vs. high risk of 58% (95% CI: 52–63) vs. 49% (95% CI: 43–56) vs. 31% (95% CI: 12–51), P < 0.001 respectively, and 3‐year OS in low vs. intermediate vs. high risk of 88% (95% CI: 84–91) vs. 81% (95% CI: 76–86) vs. 64% (95% CI: 39–80); P < 0·001. Our prognostic scoring system can identify MM patients at risk for early relapse after AHCT.
Use of Cystatin C to Assess Immunotherapy Toxicity in a Patient With Melanoma
Barth, Dylan , Otto, D., Alkhasova, Maria S., Frazee, Erin N. , Barth, Dylan M , Frazee, Erin N , Wang, Peng , Alkhasova, Maria

Journal of Pharmacy Practice | October 14, 2020 | Volume: 35 | Issue: 2 | Pages: 308-310

10.1177/0897190020966201 | PMID 35484868 Get It

The advent of immunotherapy has improved outcomes of patients in a number of cancers. 1 While immunotherapy helps the immune system recognize malignant cells, it also can lead to adverse effects that mimic autoimmune diseases including, but not limited to, rash, colitis, pneumonitis, and nephritis. Diagnosis of immunotherapy related nephritis is based on serum creatinine trends, which can be falsely elevated in the setting of high muscle mass. Cystatin C is an adjunctive kidney biomarker that can estimate glomerular filtration rate independent of muscle mass. We present a case where the use of cystatin C avoided unnecessary therapy interruption in a young, athletic man being treated with nivolumab for melanoma. Further research is needed to define the role cystatin C in monitoring kidney function during immunotherapy.
Vascularized Lymph Node Transfer to the Thigh: A Novel Technical Modification
Teven, Chad M. , Bryant, Lyndsey A. , Struve, Sara L., Rebecca, Alanna M. , Hammond, Jacob B.

Plastic & Reconstructive Surgery | October 13, 2020 | Volume: 147 | Issue: 1 | Pages: 182e-184e

10.1097/prs.0000000000007483 | PMID 33048848 Get It

When Should Asymptomatic Persons Be Tested for COVID-19?
Schuetz, Audrey N. , Mehta, Ninad , Campbell, Sheldon , Mitchell, Stephanie L. , Palavecino, Elizabeth , Butler‐Wu, Susan M. , Mehta, Ninad , Mitchell, Stephanie , Butler-Wu, Susan , Schuetz, Audrey N , Hemarajata, Peera , Miller, Melissa B.

Journal of Clinical Microbiology | October 7, 2020 | Volume: 59 | Issue: 1 | Pages: No page available

10.1128/jcm.02563-20 | PMID 33023910 Get It

On 24 August 2020, the Centers for Disease Control and Prevention (CDC) updated its website to highlight that asymptomatic individuals, even those with exposure to a COVID-19-positive contact, do not necessarily need to be tested unless they have medical conditions associated with increased risk of severe illness from COVID-19. The CDC subsequently updated its guidance on 19 September 2020 to support testing of asymptomatic persons, including close contacts of persons with documented SARS-CoV-2 infection.
Medical Parasitology Taxonomy Update, January 2018 to May 2020
Mathison, Blaine A. , Bradbury, Richard S. , Pritt, Bobbi S. , Pritt, Bobbi S , Mathison, Blaine A

Journal of Clinical Microbiology | October 6, 2020 | Volume: 59 | Issue: 2 | Pages: No page available

10.1128/jcm.01308-20 | PMID 33028601 Get It

The taxonomy of parasites of medical and public health importance is rapidly evolving. This minireview provides an update of taxonomic revisions and additions in the field of medical parasitology from January 2018 to May 2020. Several established human parasites have been reassigned to different genera over the past 2 years, while a number of novel parasites of humans have been identified. A comprehensive summary of these changes is provided here, and Taenia suihominis is proposed as a replacement name for Taenia asiaticus Eom et al.
Genetic Architecture of Abdominal Aortic Aneurysm in the Million Veteran Program
Klarin, Derek , Judy, Renae , Dikilitas, Ozan , Wolford, Brooke N. , Paranjpe, Ishan , Levin, Michael G. , Pan, Cuiping , Tcheandjieu, Catherine , Spin, Joshua M. , Assimes, Themistocles L. , Nyrønning, Linn Åldstedt , Mattsson, Erney , Denny, Joshua C. , Zhang, Yanfei , Jarvik, Gail P. , Gharavi, Ali G. , Harley, John B. , Mentch, Frank , Håkonarson, Håkon , Skogholt, Anne Heidi , Thomas, Laurent F. , Gabrielsen, Maiken E. , Zhou, Wei , Fritsche, Lars G. , Huang, Jie , Natarajan, Pradeep , Sun, Yan V. , DuVall, Scott L. , Cho, Kelly , Chang, Kyong‐Mi , Wilson, Peter W.F. , O’Donnell, Christopher J., Kathiresan, Sekar , Scali, Salvatore T. , Jones, Gregory T. , Bown, Matthew J. , Nadkarni, Girish N. , Ritchie, Marylyn D. , Tsao, Philip S. , Gaziano, J. Michael , Ramoni, Rachel , Breeling, Jim, Huang, Grant D. , Muralidhar, Sumitra , O’Donnell, Christopher J. , Romero, Jonathan , Tsao, Philip S., Moser, Jennifer , Whitbourne, Stacey B. , Brewer, Jessica V., Warren, Stuart, Argyres, Dean P., Tsao, Philip S., Stephens, Brady, Brophy, Mary T. , Humphries, Donald E., Shayan, Shahpoor, O’Donnell, Christopher J., Pyarajan, Saiju , Tsao, Philip S., Dell’Italia, Louis J. , Zablocki, Clement J., Beckham, Jean, Wells, John A. , Gutierrez, Salvador, Kaminsky, Laurence S., Villareal, Gerardo, Xu, Junzhe, Hamner, Mark B. , Haddock, Kathlyn Sue, Bhushan, Sujata, Iruvanti, Pran, Godschalk, Michael, Buford, Malcolm, Mastorides, Stephen , Ratcliffe, Nora, Flórez, Hermes , Swann, Alan C. , Murdoch, Maureen, Yeh, Shing Shing, Washburn, Ronald G., Jhala, Darshana , Aguayo, Samuel M., Cohen, David , Sharma, Satish, Callaghan, John, Oursler, Kris Ann, Ahuja, Sunil K. , Gutierrez, Amparo, Schifman, Ronald, Greco, Jennifer , Oehlert, Mary E. , Wallbom, Agnes, Fernando, Ronald, Morgan, Timothy R. , Stapley, Todd, Anderson, Gwenevere, Sonel, Elif, Fayad, Joseph, Hung, Adriana M. , Lichy, Jack, Hurley, Robin A. , Hakonarson, Hakon , Denny, Joshua C , Jarvik, Gail P , Dikilitas, Ozan , Assimes, Themistocles L , Natarajan, Pradeep , Wolford, Brooke N , Scali, Salvatore , Chang, Kyong-Mi , Tsao, Philip S , Verma, Shefali S. , Lynch, Julie A. , Edwards, Todd L. , Larson, Eric B. , Lee, Ming Ta Michael , Carrell, David , Pacheco, Jennifer A. , Hveem, Kristian , Nielsen, Jonas Bille , Rader, Daniel J , O’Donnell, Christopher J., Berceli, Scott A. , Willer, Cristen J , Kullo, Iftikhar J. , Damrauer, Scott M , Beckham, Jean C , Tsao, Philip S., Concato, John , Tsao, Philip S., Do, Nhan , Nguyen, Xuan‐Mai T. , O’Donnell, Christopher J., Tsao, Philip S., Hauser, Elizabeth R. , Zhao, Hongyu , McArdle, Rachel , Whittle, Jeff , Beckham, Jean, Wells, John, Gibson, Gretchen , Kinlay, Scott , Ballas, Zuhair K. , Klein, Jon , Sriram, Peruvemba , Washburn, Ronald, Whooley, Mary A. , Rauchman, Michael I. , Servatius, Richard J. , Sherman, Scott E. , Boyko, Edward J. , Meyer, Laurence , Gupta, Samir , Robey, R. Brooks , Striker, Rob

Circulation | September 28, 2020 | Volume: 142 | Issue: 17 | Pages: 1633-1646

10.1161/circulationaha.120.047544 | PMID 32981348 Get It

Background: Abdominal aortic aneurysm (AAA) is an important cause of cardiovascular mortality; however, its genetic determinants remain incompletely defined. In total, 10 previously identified risk loci explain a small fraction of AAA heritability. Methods: We performed a genome-wide association study in the Million Veteran Program testing ≈18 million DNA sequence variants with AAA (7642 cases and 172 172 controls) in veterans of European ancestry with independent replication in up to 4972 cases and 99 858 controls. We then used mendelian randomization to examine the causal effects of blood pressure on AAA. We examined the association of AAA risk variants with aneurysms in the lower extremity, cerebral, and iliac arterial beds, and derived a genome-wide polygenic risk score (PRS) to identify a subset of the population at greater risk for disease. Results: Through a genome-wide association study, we identified 14 novel loci, bringing the total number of known significant AAA loci to 24. In our mendelian randomization analysis, we demonstrate that a genetic increase of 10 mm Hg in diastolic blood pressure (odds ratio, 1.43 [95% CI, 1.24–1.66]; P =1.6×10 −6 ), as opposed to systolic blood pressure (odds ratio, 1.06 [95% CI, 0.97–1.15]; P =0.2), likely has a causal relationship with AAA development. We observed that 19 of 24 AAA risk variants associate with aneurysms in at least 1 other vascular territory. A 29-variant PRS was strongly associated with AAA (odds ratio PRS , 1.26 [95% CI, 1.18–1.36]; P PRS =2.7×10 −11 per SD increase in PRS), independent of family history and smoking risk factors (odds ratio PRS+family history+smoking , 1.24 [95% CI, 1.14–1.35]; P PRS =1.27×10 −6 ). Using this PRS, we identified a subset of the population with AAA prevalence greater than that observed in screening trials informing current guidelines. Conclusions: We identify novel AAA genetic associations with therapeutic implications and identify a subset of the population at significantly increased genetic risk of AAA independent of family history. Our data suggest that extending current screening guidelines to include testing to identify those with high polygenic AAA risk, once the cost of genotyping becomes comparable with that of screening ultrasound, would significantly increase the yield of current screening at reasonable cost.
Oral Vancomycin, Ursodeoxycholic Acid, or No Therapy for Pediatric Primary Sclerosing Cholangitis: A Matched Analysis
Deneau, Mark , Mack, Cara L. , Mogul, Douglas , Perito, Emily R. , Valentino, Pamela L. , DiGuglielmo, Matthew, Draijer, Laura G. , El‐Matary, Wael , Furuya, Katryn N. , Gupta, Nitika , Hochberg, Jessica T. , Horslen, Simon , Jensen, M. Kyle , Jonas, Maureen M. , Kerkar, Nanda , Koot, Bart G.P. , Laborda, Trevor J., Martínez, Mercedes , Miethke, Alexander , Miloh, Tamir , Ovchinsky, Nadia , Rao, Girish S. , Ricciuto, Amanda , Sathya, Pushpa , Schwarz, Kathleen B. , Shah, Uzma , Vitola, Bernadette , Zizzo, Andréanne N. , Guthery, Stephen L., Deneau, Mark R , Martinez, Mercedes , Mohammad, Saeed , Ricciuto, Amanda , Zizzo, Andréanne , Valentino, Pamela , Amir, Achiya , Lee, Christine Kyuyoung , Loomes, Kathleen M. , Singh, Ruchi

Hepatology | September 18, 2020 | Volume: 73 | Issue: 3 | Pages: 1061-1073

10.1002/hep.31560 | PMID 32946600 Get It

Background and Aims Many children with primary sclerosing cholangitis (PSC) receive oral vancomycin therapy (OVT) or ursodeoxycholic acid (UDCA). There is a paucity of data on whether these medications improve outcomes. Approach and Results We analyzed retrospective data from the Pediatric PSC Consortium. Children treated with OVT were matched 1:1:1 to those treated with UDCA or managed with observation (no treatment) based on the closest propensity score, ensuring similar baseline characteristics. Two hundred sixty‐four patients (88 each with OVT, UDCA, or observation) had matching propensity scores and were similar in demographics, phenotype, immunosuppression, baseline biochemistry, and hepatic fibrosis. After 1 year in an intention‐to‐treat analysis, all outcome metrics were similar regardless of treatment group. In OVT, UDCA, and untreated groups, respectively: Gamma‐glutamyltransferase normalized in 53%, 49%, and 52% (P = not significant [NS]), liver fibrosis stage was improved in 20%, 13%, and 18% and worsened in 11%, 29%, and 18% (P = NS), and the 5‐year probability of liver transplant listing was 21%, 10%, and 12% (P = NS). Favorable outcome was associated with having a mild phenotype of PSC and minimal hepatic fibrosis. Conclusions We presented the largest‐ever description of outcomes on OVT in PSC and compared them to carefully matched patients on UDCA or no therapy. Neither OVT nor UDCA showed improvement in outcomes compared to a strategy of observation. Patients progressed to end‐stage liver disease at similar rates. Spontaneous normalization of biochemistry is common in children receiving no therapy, particularly in the majority of children with a mild phenotype and an early stage of disease. Placebo‐controlled treatment trials are needed to identify effective treatments for pediatric PSC.