Citations

Mayo Clinic

Clear

795 citation(s) found for "I Wi, Chung".

Phase III study of brentuximab vedotin plus doxorubicin, vinblastine, and dacarbazine (A+AVD) versus doxorubicin, bleomycin, vinblastine, and dacarbazine (ABVD) as front-line treatment for advanced classical Hodgkin lymphoma (HL).
Younes, Anas , Ansell, Stephen M. , Gallamini, Andrea , Kim, Won Seog , Feldman, Tatyana , Chung, Jeanenne, Wang, Jingyuan , Huebner, Dirk, Radford, John , Hamadani, Mehdi , Connors, Joseph M.

Journal of Clinical Oncology | March 11, 2020 | Volume: 31 | Issue: 15_suppl | Pages: TPS8612-TPS8612

10.1200/jco.2013.31.15_suppl.tps8612 Get It

TPS8612 Background: Brentuximab vedotin, a CD30-targeted antibody-drug conjugate, has conditional approval in Europe for relapsed/refractory (RR) CD30-positive HL following autologous stem cell transplant (ASCT) or following ≥2 prior therapies when ASCT or multi-agent chemotherapy is not a treatment option. ABVD, a common front-line regimen for advanced HL, achieves complete response (CR) rates of 70–80%. However, 10–20% of patients (pts) are refractory to front-line treatment and up to 35% relapse after front-line multi-modality therapy. In pts with relapsed HL post-ASCT, single-agent brentuximab vedotin yields an objective response rate of 75% (CR, 33%; Chen ASH 2012). In a phase 1 study in treatment-naïve HL pts, A+AVD was associated with manageable toxicity and a CR rate of 96%; brentuximab vedotin + ABVD was contraindicated due to pulmonary toxicity (Ansell ASH 2012). We hypothesized that substituting bleomycin with brentuximab vedotin would eliminate bleomycin-associated pulmonary toxicity and improve progression-free survival (PFS) compared to a standard ABVD regimen. Methods: This ongoing, open-label, randomized, multicenter study (NCT01712490) will compare A+AVD vs ABVD in 1040 pts with stage III/IV classical HL. Primary endpoint: modified (m) PFS (death, progression, and receipt of chemotherapy or radiotherapy by pts not in CR after completing A+AVD or ABVD will count as progression event). Key secondary endpoint: overall survival. Key inclusion criteria: histologically-confirmed previously untreated stage III/IV classical HL. Pts will be stratified by region and International Prognostic Score, and will be randomized 1:1 to receive A+AVD (brentuximab vedotin 1.2 mg/kg with each dose of AVD) or ABVD administered intravenously on Days 1 and 15 of 28-day cycles, for up to 6 cycles. Disease status and survival will be evaluated regularly until study closure. Safety assessments: incidence and severity of adverse events, changes to physical and laboratory tests. Clinical trial information: NCT01712490.
Activity of cetuximab (C) in head and neck squamous cell carcinoma (HNSCC) patients (pts) with PTEN loss or PIK3CA mutation treated on E5397, a phase III trial of cisplatin (CDDP) with placebo (P) or C.
Lee, Ju‐Whei , García, Joaquín J. , Forastiere, Arlene A. , Chung, Christine H. , Burtness, Barbara , Yang, Dong‐Hua , Zhu, Fang

Journal of Clinical Oncology | March 11, 2020 | Volume: 31 | Issue: 15_suppl | Pages: 6028-6028

10.1200/jco.2013.31.15_suppl.6028 Get It

6028 Background: Abnormalities in EGFR signaling targets are associated with C resistance but no biomarker of C resistance has been identified in HNSCC. We hypothesized that cases with loss of PTEN protein expression (PTEN null) or PIK3CA mutation would display C resistance in HNSCC. Methods: E5397 was a phase III trial of CDDP plus P or CDDP plus C and enrolled 117 eligible and evaluable pts. PIK3CA and PTEN were analyzed for 52 and 67 consented pts, respectively. PTEN expression (PTEN Cell Signaling Technology, Cat. 9559) was determined by automated quantitative analysis (AQUA) on the PM-2000 (HistoRx, New Haven) using a cutpoint generated in 5 HNSCC tissue microarrays, each consisting of HNSCC as well as positive (small intestine, median AQUA score 2833.2) and negative controls (breast and colon carcinoma, median AQUA score 205.5). A cutpoint of 570 provides 100% specificity, 100% sensitivity, and identified 30% of the HNSCCs as PTEN null, consonant with the literature. The 3 most common PIK3CA mutations (E542K and E545K in exon 9 and H1047R in exon 20) were determined by BEAMing (Inostics, Heidelberg, Germany). Response, overall survival (OS) and progression-free survival (PFS) were compared between PTEN null or PIK3CA mutated pts and all others. Log rank and multivariable Cox proportional hazards modeling were used to calculate p values. Results: 23/67 (34%) tumors were PTEN null and 2/52 (4%) had PIK3CA mutations (E542K and E545K). Both tumors with PIK3CA mutation had PTEN expression. No statistically significant differences in response, OS or PFS were noted in this small sample. However, among PTEN expressing/PIK3CA WT pts, median PFS increased to 4.2 months (m) for C (N=22) from 2.9 m for P (N=26) (Wald p=0.07), compared with 4.6 m for C (N=12) and 3.5 m for P (n=13) among the PTEN null/PIK3CA mutated (Wald p=0.60). Conclusions: The PTEN loss or PIK3CA mutation signature warrants further investigation as a predictor of C resistance.
Landscape of Health-Related Quality of Life in Patients With Early-Stage Pancreatic Cancer Receiving Adjuvant or Neoadjuvant Chemotherapy
Macarulla, Teresa , Hendifar, Andrew , Riess, Hanno, Tempero, Margaret A. , Dueck, Amylou C. , Botteman, Marc , Deshpande, Chinmay , Lucas, Eleanor , Oh, Do‐Youn , Dueck, A. C. , Macarulla, Teresa , Li, Chung‐Pin , Reni, Michele

Pancreas | March 11, 2020 | Volume: 49 | Issue: 3 | Pages: 393-407

10.1097/mpa.0000000000001507 | PMID 32132518 Get It

Objectives Pancreatic resection is associated with postoperative morbidity and reduced quality of life (QoL). A systematic literature review was conducted to understand the patient-reported outcome measure (PROM) landscape in early-stage pancreatic cancer (PC). Methods Databases/registries (through January 24, 2019) and conference abstracts (2014–2017) were searched. Study quality was assessed using the Newcastle-Ottawa Scale/Cochrane risk-of-bias tool. Searches were for general (resectable PC, adjuvant/neoadjuvant, QoL) and supplemental studies (resectable PC, European Organisation for Research and Treatment of Cancer QoL Questionnaire [QLQ] – Pancreatic Cancer [PAN26]). Results Of 750 studies identified, 39 (general, 22; supplemental, 17) were eligible: 32 used QLQ Core 30 (C30) and/or QLQ-PAN26, and 15 used other PROMs. Baseline QLQ-C30 global health status/QoL scores in early-stage PC were similar to all-stage PC reference values but lower than all-stage–all-cancer values. The QoL declined after surgery, recovered to baseline in 3 to 6 months, and then generally stabilized. A minimally important difference (MID) of 10 was commonly used for QLQ-C30 but was not established for QLQ-PAN26. Conclusions In early-stage PC, QLQ-C30 and QLQ-PAN26 are the most commonly used PROMs. Baseline QLQ-C30 global health status/QoL scores suggested a high humanistic burden. Immediately after surgery, QoL declined but seemed stable over the longer term. The QLQ-C30 MID may elucidate the clinical impact of treatment on QoL; MID for QLQ-PAN26 needs to be established.
Inhibition of stearoyl‐CoA desaturases suppresses follicular help T‐ and germinal center B‐ cell responses
Son, Young Min , Cheon, In Su , Goplen, Nick P., Dent, Alexander L. , Sun, Jie , Sun, Jie , Dent, Alexander L

European Journal of Immunology | March 4, 2020 | Volume: 50 | Issue: 7 | Pages: 1067-1077

10.1002/eji.201948257 | PMID 32133634 Get It

Abstract Stearoyl‐CoA desaturases (SCD) are endoplasmic reticulum (ER)‐associated enzymes that catalyze the synthesis of the monounsaturated fatty acids (MUFAs). As such, SCD play important roles in maintaining the intracellular balance between saturated fatty acid (SFAs) and MUFAs. The roles of SCD in CD4 + T‐helper cell responses are currently unexplored. Here, we have found that murine and human follicular helper T (T FH ) cells express higher levels of SCD compared to non‐T FH cells. Further, the expression of SCD in T FH cells is dependent on the T FH lineage‐specification transcription factor BCL6. We found that the inhibition of SCD impaired T FH cell maintenance and shifted the balance between T FH and follicular regulatory T (T FR ) cells in the spleen. Consequently, SCD inhibition dampened germinal center B‐cell responses following influenza immunization. Mechanistically, we found that SCD inhibition led to increased ER stress and enhanced T FH cell apoptosis in vitro and in vivo. These results reveal a possible link between fatty acid metabolism and cellular and humoral responses induced by immunization or potentially, autoimmunity.
Transcriptome‐wide association study of breast cancer risk by estrogen‐receptor status
Feng, Helian , Gusev, Alexander , Wu, Lang , Abu-Full, Zomoroda, Aittomäki, Kristiina, Andrulis, Irene L. , Antoniou, Antonis C. , Arason, Aðalgeir , Arndt, Volker , Aronson, Kristan J. , Asseryanis, Ella, Auer, Paul L. , Azzollini, Jacopo , Barkardóttir, Rósa B. , Barrowdale, Daniel , Beckmann, Matthias W. , Bermisheva, Marina , Białkowska, Katarzyna , Bogdanova, Natalia , Bojesen, Stig E. , Bolla, Manjeet K. , Borg, Åke , Brauch, Hiltrud , Brenner, Hermann , Brüning, Thomas , Burwinkel, Barbara , Caldés, Trinidad , Canisius, Sander , Campa, Daniele , Carter, Brian D., Castelao, Jose E. , Chang‐Claude, Jenny , Christiansen, Hans , Claes, Kathleen , Collaborators, GEMO Study, Collaborators, EMBRACE, Collaborators, GC‐HBOC study, Cox, Angela , Daly, Mary B., Leeneer, Kim De , Dörk, Thilo , Dwek, Miriam , Eccles, Diana M., Ejlertsen, Bent , Engel, Christoph , Fasching, Peter A. , Flyger, Henrik, Friedman, Eitan , Frost, Debra, Gabrielson, Marike , Ganz, Patricia A. , Gapstur, Susan M. , García‐Closas, Montserrat , Gaudet, Mia M. , Glendon, Gord , Goldberg, Mark S. , Goldgar, David E., González‐Neira, Anna , Greene, Mark H. , Guénel, Pascal , Haiman, Christopher A. , Hamann, Ute, Hake, Christopher R., He, Wei , Heyworth, Jane , Hogervorst, Frans B.L., Hooning, Maartje J. , Hoover, Robert N. , Hopper, John L. , Huang, Guanmengqian, Hulick, Peter J. , Humphreys, Keith , Imyanitov, Evgeny N., Investigators, ABCTB, Investigators, HEBON, Investigators, BCFR, Investigators, OCGN, Jakimovska, Milena , Jakubowska, Anna , James, Paul A. , Janavicius, Ramunas, Jankowitz, Rachel C. , John, Esther M. , Johnson, Nichola , Jung, Audrey , Kiiski, Johanna I. , Konstantopoulou, Irene , Kristensen, Vessela N. , Laitman, Yael , Lambrechts, Diether , Leroux, Dominique, Lester, Jenny, Lesueur, Fabienne , Lindor, Noralane M. , Lindström, Sara, Lo, Wing‐Yee, Loud, Jennifer T. , Makalic, Enes , Mannermaa, Arto, Manoochehri, Mehdi, Manoukian, Siranoush , Margolin, Sara , Matricardi, Laura , Maurer, Tabea, Mavroudis, Dimitrios, McGuffog, Lesley, Meindl, Alfons , Menon, Usha , Michailidou, Kyriaki , Kapoor, Pooja M., Montagna, Marco , Moreno, Fernando , Muranen, Taru , Nathanson, Katherine L. , Nevelsteen, Ines, Ņikitina-Zaķe, Liene , Offit, Kenneth, Oláh, Edith , Olopade, Olufunmilayo I. , Olsson, Håkan , Osório, Ana , Papp, J., Park‐Simon, Tjoung‐Won , Pedersen, Inge Søkilde , Peixoto, Ana , Peterlongo, Paolo , Peto, Julian , Phillips, Kelly‐Anne , Plaseska‐Karanfilska, Dijana , Poppe, Bruce , Pradhan, Nisha , Prajzendanc, Karolina , Punie, Kevin , Pylkäs, Katri , Rantala, Johanna, Rashid, Muhammad Usman , Rennert, Gad , Romero, Atocha , Saloustros, Emmanouil , Sandler, Dale P. , Santos, Catarina , Sawyer, Elinor J. , Schmutzler, Rita K., Schoemaker, Minouk J. , Scott, Rodney J. , Simard, Jacques , Skytte, Anne‐Bine , Soucy, Penny, Spinelli, John J. , Stone, Jennifer , Tapper, William , Taylor, Jack A. , Teixeira, Manuel R. , Terry, Mary Beth , Teulé, Àlex , Thomassen, Mads , Thöne, Kathrin , Thull, Darcy L. , Tollenaar, Rob A.�E.�M. , Torres, Diana , Vachon, Celine M. , Ouweland, Ans M.W. van den, Vega, Ana , Viel, Alessandra , Vieiro‐Balo, Paula, Wang, Qin , Wappenschmidt, Barbara , Weinberg, Clarice R. , Weitzel, Jeffrey N. , Wendt, Camilla, Winqvist, Robert , Yang, Xiaohong R., Easton, Douglas F. , Chenevix‐Trench, Georgia , Durocher, Francine , Eccles, Diana , Janavičius, Ramūnas , Khaw, Kay‐Tee , Lambrechts, Diether , Lindor, Noralane, Dörk, Thilo , Lambrechts, Diether , Hulick, Peter J , James, Paul , Lesueur, Fabienne , Peterlongo, Paolo , Rennert, Gad , Sandler, Dale P , Teixeira, Manuel R , Eccles, Diana , Menon, Usha , Vega, Ana , Weitzel, Jeffrey N , Claes, Kathleen B M , Azzollini, Jacopo , John, Esther M , Konstantopoulou, Irene , Matricardi, Laura , Olopade, Olufunmilayo I , Arndt, Volker , Jakubowska, Anna , Lambrechts, Diether , Brenner, Hermann , Cox, Angela , Guénel, Pascal , Muranen, Taru A , Romero, Atocha , Saloustros, Emmanouil , Torres, Diana , García-Closas, Montserrat , Makalic, Enes , Michailidou, Kyriaki , Bogdanova, Natalia V , Taylor, Jack A , Nathanson, Katherine L , Arason, Adalgeir , Barrowdale, Daniel , Engel, Christoph , Montagna, Marco , Viel, Alessandra , Simard, Jacques , Chenevix-Trench, Georgia , Jung, Audrey Y , Gabrielson, Marike , Stone, Jennifer , Pylkäs, Katri , Rashid, Muhammad U , De Leeneer, Kim , Manoukian, Siranoush , Bojesen, Stig E , Schoemaker, Minouk J , Weinberg, Clarice R , Phillips, Kelly-Anne , Terry, Mary Beth , Brauch, Hiltrud , Plaseska-Karanfilska, Dijana , Sawyer, Elinor J , Paşaniuc, Bogdan , Long, Jirong , Anton‐Culver, Hoda , Arun, Banu , Balmañà, Judith , Barnes, Daniel R. , Behrens, Sabine , Benı́tez, Javier , Blanco, Ana , Blomqvist, Carl , Boeckx, Bram , Bonanni, Bernardo , Borg, Åke , Briceño, Ignacio , Broeks, Annegien , Cai, Qiuyin , Caligo, Maria A. , Campbell, Ian , Carter, Jonathan , Chanock, Stephen Jacob , Chung, Wendy K. , Clarke, Christine L. , Collaborators, GEMO Study, Collaborators, EMBRACE, Collaborators, GC‐HBOC study, Couch, Fergus J. , Cross, Simon S. , Cybulski, Cezary , Czene, Kamila , Hoya, Miguel de la , Dennis, Joe , Devilee, Peter , Dı́ez, Orland , Domchek, Susan M. , dos‐Santos‐Silva, Isabel , Dunning, Alison M. , Ellberg, Carolina , Eriksson, Mikael , Fletcher, Olivia , Fostira, Florentia , Fritschi, Lin , Garber, Judy E. , García-Sáenz, José Á. , Giles, Graham G. , Godwin, Andrew K. , Goldgar, David E., Gronwald, Jacek , Hall, Per N , Hollestelle, Antoinette , Investigators, ABCTB, Investigators, HEBON, Investigators, BCFR, Investigators, OCGN, Isaacs, Claudine , Vijai, Joseph , Karlan, Beth Y. , Хуснутдинова, Э. К. , Lázaro, Conxi , Leslie, Goska , Lubiński, Jan , Mannermaa, Arto, Martens, John W.M. , Martı́nez, Marı́a Elena , Meindl, Alfons , Kapoor, Pooja M., Miller, Austin , Moserle, Lidia , Mulligan, Anna Marie , Neuhausen, Susan L. , Nevanlinna, Heli , Nielsen, Finn Cilius , Parsons, Michael T. , Pharoah, Paul D.P. , Presneau, Nadège , Radice, Paolo , Risch, Harvey A. , Robson, Mark E. , Schmidt, Marjanka K. , Schmidt, Daniel F. , Sharma, Priyanka , Shu, Xiao‐Ou , Singer, Christian F. , Southey, Melissa C. , Spurdle, Amanda B. , Swerdlow, Anthony J. , Tischkowitz, Marc D. , Toland, Amanda Ewart , Truong, Thérèse , Tung, Nadine , Vachon, Celine M. , Asperen, Christi J. van , Rensburg, Elizabeth J. van , Yannoukakos, Drakoulis , Ziogas, Argyrios , Milne, Roger L. , Zheng, Wei , Kraft, Peter , Jiang, Xia

Genetic Epidemiology | March 2, 2020 | Volume: 44 | Issue: 5 | Pages: 442-468

10.1002/gepi.22288 | PMID 32115800 Get It

AbstractPrevious transcriptome‐wide association studies (TWAS) have identified breast cancer risk genes by integrating data from expression quantitative loci and genome‐wide association studies (GWAS), but analyses of breast cancer subtype‐specific associations have been limited. In this study, we conducted a TWAS using gene expression data from GTEx and summary statistics from the hitherto largest GWAS meta‐analysis conducted for breast cancer overall, and by estrogen receptor subtypes (ER+ and ER−). We further compared associations with ER+ and ER− subtypes, using a case‐only TWAS approach. We also conducted multigene conditional analyses in regions with multiple TWAS associations. Two genes, STXBP4 and HIST2H2BA, were specifically associated with ER+ but not with ER– breast cancer. We further identified 30 TWAS‐significant genes associated with overall breast cancer risk, including four that were not identified in previous studies. Conditional analyses identified single independent breast‐cancer gene in three of six regions harboring multiple TWAS‐significant genes. Our study provides new information on breast cancer genetics and biology, particularly about genomic differences between ER+ and ER− breast cancer.
Transcriptome profiling of NRG Oncology/RTOG 9601: Validation of a prognostic genomic classifier in salvage radiotherapy prostate cancer patients from a prospective randomized trial.
Feng, Felix Y. , Huang, Huei–Chung, Simko, Jeffry, Dignam, James J., Seiferheld, Wendy, Lukka, Himanshu, Bahary, Jean-Paul , Pisansky, Thomas M. , Hall, William A. , Shah, Amit I., Pugh, Stephanie L. , Pollack, Alan , Shipley, William U. , Sandler, Howard M. , Davicioni, Elai , Nguyen, Paul L. , Efstathiou, Jason A. , Dicker, Adam P. , Spratt, Daniel E. , Tran, Phuoc T

Journal of Clinical Oncology | February 19, 2020 | Volume: 38 | Issue: 6_suppl | Pages: 276-276

10.1200/jco.2020.38.6_suppl.276 Get It

276 Background: Decipher is a genomic classifier (GC) that estimates risk of prostate cancer (PCa) distant metastases (DM) post-radical prostatectomy (RP). Herein, we validate the GC within the context of a randomized phase 3 trial. Methods: RP specimens from patients on the NRG/RTOG 9601 phase 3 placebo-controlled randomized trial of salvage radiotherapy (sRT) +/- 2 years of bicalutamide (NCT00002874) were centrally reviewed and the highest-grade tumor underwent RNA extraction. Samples passing quality control (QC) were run on a clinical-grade whole-transcriptome assay to assign the GC score (scale 0-1). Our NCTN-CCSC approved pre-specified statistical plan (NRG-GU-TS002 CSC0075) included the primary objective of validating the ability of the GC to independently prognosticate the cumulative incidence of DM, with secondary endpoints of prostate cancer-specific mortality (PCSM) and overall survival (OS). Results: Of patients with tissue available, 352 passed QC and were included for analysis. The final GC cohort was a representative sample of the overall cohort, with a median follow-up of 13 years. On multivariable analysis, the GC (continuous variable) was independently associated with DM (HR 1.19 [95%CI 1.06-1.35], p=0.003), PCSM (HR 1.37 [95%CI 1.18-1.61], p<0.001), and OS (HR 1.16 [95%CI 1.06-1.28], p=0.002) after adjusting for age, race, Gleason score, T-stage, margin status, entry PSA, and treatment arm. The estimated absolute impact of bicalutamide on 12-year OS was less in patients with lower vs higher GC scores (2.4% vs 8.9%), further demonstrated in men receiving early sRT at PSA <0.7 ng/mL (-2.0% vs 5.0%). Conclusions: This is the first validation of this GC in a prospective randomized trial cohort and demonstrates association of the GC with DM and PCSM independent of standard clinicopathologic variables. The GC may help personalize shared decision-making to weigh the absolute benefit from the addition of bicalutamide to sRT.
Androgen deprivation therapy and statin therapy in prostate cancer patients.
Lai, Kin Chung, Turknett, Toiya, Singh, Parminder Pal

Journal of Clinical Oncology | February 19, 2020 | Volume: 38 | Issue: 6_suppl | Pages: 205-205

10.1200/jco.2020.38.6_suppl.205 Get It

205 Background: Metastatic prostate cancer (mPC) is treated with androgen deprivation therapy( ADT). Duration of response to ADT predicts patient’s survival. It has been shown in observational studies that concurrent statin use may prolong response to ADT. Studies in mice have shown negative interactions. We wanted to examine the effect of this interaction in patients being followed at Mayo Clinic Arizona (MCA). Methods: We examined 441 patients with mPC, who received ADT and were treated at MCA from year 2011 to 2017. . Our study evaluated the time to progression (TTP) and overall survival(OS) for patients with mPC on ADT with or without concurrent statin use. Among the patients who were evaluated, there was a subset of 156 patients taking abiraterone (ABI). Characteristics were compared between statin users and nonusers using Chi squared test and Wilcoxon rank-sum tests. The primary outcome was TTP defined as the duration from ADT initiation to disease progression. The association between statin use and TTP was analyzed by multivariable Cox regression to estimate hazard ratios (HRs) and 95% Conference Interval (CI), and adjusted for Gleason score, primary therapy type, prior ADT, metastatic status, and PSA at ADT initiation. Results: There was no significant difference in TTP when comparing patients with statin to those without a statin. The HR for statin use vs no statin use is 1.049 with CI (0.838, 1.314) and p-value is 0.677. There was no significant difference in overall survival when comparing statin vs no statin use. The HR for statin use vs no statin use was 0.928(CI 0.642, 1.342) with p-value at 0.693. In the ABI population, there was no significant difference in TTP for patients with statin vs no statin. HR was 1.00 CI (0.725, 1.377) with p-value at 0.998. For overall survival, there was no significant difference with HR at 0.852 (CI 0.502, 1.446) with p-value at 0.553. Conclusions: Despite retrospective studies showing benefit of use of statin in men with prostate cancer, our study observed no difference in long term outcomes. Possible explanations could be smaller sample size, inability to verify data as medication intake was not verified directly. Also, patient’s compliance with medications could be a confounding variable.
Consensus recommendations for a standardized brain tumor imaging protocol for clinical trials in brain metastases
Smits, Marion , Huang, Raymond Y. , Barboriak, Daniel P. , Weller, Michael , Chung, Caroline , Tsien, Christina , Brown, Paul D. , Shankar, Lalitha , Gerstner, Elizabeth R. , Bent, Martin J. van den , Dunn, Gavin P. , Wen, Patrick Y. , Weller, Michael , van den Bent, Martin J , Smits, Marion , Barboriak, Daniel P , Huang, Raymond , Kaufmann, Timothy J. , Boxerman, Jerrold L. , Galanis, Evanthia , Burns, Terry C. , Parney, Ian F. , Brastianos, Priscilla K. , Lin, Nancy U. , Wen, Patrick Yung , Ellingson, Benjamin M.

Neuro-Oncology | February 7, 2020 | Volume: 22 | Issue: 6 | Pages: 757-772

10.1093/neuonc/noaa030 | PMID 32048719 Get It

AbstractA recent meeting was held on March 22, 2019, among the FDA, clinical scientists, pharmaceutical and biotech companies, clinical trials cooperative groups, and patient advocacy groups to discuss challenges and potential solutions for increasing development of therapeutics for central nervous system metastases. A key issue identified at this meeting was the need for consistent tumor measurement for reliable tumor response assessment, including the first step of standardized image acquisition with an MRI protocol that could be implemented in multicenter studies aimed at testing new therapeutics. This document builds upon previous consensus recommendations for a standardized brain tumor imaging protocol (BTIP) in high-grade gliomas and defines a protocol for brain metastases (BTIP-BM) that addresses unique challenges associated with assessment of CNS metastases. The “minimum standard” recommended pulse sequences include: (i) parameter matched pre- and post-contrast inversion recovery (IR)–prepared, isotropic 3D T1-weighted gradient echo (IR-GRE); (ii) axial 2D T2-weighted turbo spin echo acquired after injection of gadolinium-based contrast agent and before post-contrast 3D T1-weighted images; (iii) axial 2D or 3D T2-weighted fluid attenuated inversion recovery; (iv) axial 2D, 3-directional diffusion-weighted images; and (v) post-contrast 2D T1-weighted spin echo images for increased lesion conspicuity. Recommended sequence parameters are provided for both 1.5T and 3T MR systems. An “ideal” protocol is also provided, which replaces IR-GRE with 3D TSE T1-weighted imaging pre- and post-gadolinium, and is best performed at 3T, for which dynamic susceptibility contrast perfusion is included. Recommended perfusion parameters are given.
Hand Hygiene Compliance at Critical Points of Care
Chang, Nai-Chung , Reisinger, Heather Schacht , Schweizer, Marin L. , Jones, ichael, Chorazy, Margaret L., Herwaldt, Loreen A. , Huskins, Charles, Schweizer, Marin Leigh , Chrischilles, Elizabeth A. , Huskins, W. Charles

Clinical Infectious Diseases | February 6, 2020 | Volume: 72 | Issue: 5 | Pages: 814-820

10.1093/cid/ciaa130 | PMID 32034404 Get It

Abstract Background Most articles on hand hygiene report either overall compliance or compliance with specific hand hygiene moments. These moments vary in the level of risk to patients if healthcare workers (HCWs) are noncompliant. We assessed how task type affected HCWs’ hand hygiene compliance. Methods We linked consecutive tasks individual HCWs performed during the Strategies to Reduce Transmission of Antimicrobial Resistant Bacteria in Intensive Care Units (STAR*ICU) study into care sequences and identified task pairs—2 consecutive tasks and the intervening hand hygiene opportunity. We defined tasks as critical and/or contaminating. We determined the odds of critical and contaminating tasks occurring, and the odds of hand hygiene compliance using logistic regression for transition with a random effect adjusting for isolation precautions, glove use, HCW type, and compliance at prior opportunities. Results Healthcare workers were less likely to do hand hygiene before critical tasks than before other tasks (adjusted odds ratio [aOR], 0.97 [95% confidence interval {CI}, .95–.98]) and more likely to do hand hygiene after contaminating tasks than after other tasks (aOR, 1.12 [95% CI, 1.10–1.13]). Nurses were more likely to perform both critical and contaminating tasks, but nurses’ hand hygiene compliance was better than physicians’ (aOR, 0.94 [95% CI, .91–.97]) and other HCWs’ compliance (aOR, 0.87 [95% CI, .87–.94]). Conclusions Healthcare workers were more likely to do hand hygiene after contaminating tasks than before critical tasks, suggesting that habits and a feeling of disgust may influence hand hygiene compliance. This information could be incorporated into interventions to improve hand hygiene practices, particularly before critical tasks and after contaminating tasks.
Expert artificial intelligence-based natural language processing characterises childhood asthma
Seol, Hee Yun , Rolfes, Mary , Chung, Wi, Sohn, Sunghwan , Ryu, Euijung , Park, Miguel A., Kita, Hirohito , Ono, Junya , Croghan, Ivana T. , Armasu, Sebastian M. , Castro‐Rodríguez, José A. , Weston, Jill D, Juhn, Young J. , Rolfes, Mary C, Croghan, Ivana, Juhn, Young, Kita, H , Liu, Hongfang

BMJ Open Respiratory Research | February 5, 2020 | Volume: 7 | Issue: 1 | Pages: e000524

10.1136/bmjresp-2019-000524 | PMID 33371009 Get It

Introduction The lack of effective, consistent, reproducible and efficient asthma ascertainment methods results in inconsistent asthma cohorts and study results for clinical trials or other studies. We aimed to assess whether application of expert artificial intelligence (AI)-based natural language processing (NLP) algorithms for two existing asthma criteria to electronic health records of a paediatric population systematically identifies childhood asthma and its subgroups with distinctive characteristics. Methods Using the 1997–2007 Olmsted County Birth Cohort, we applied validated NLP algorithms for Predetermined Asthma Criteria (NLP-PAC) as well as Asthma Predictive Index (NLP-API). We categorised subjects into four groups (both criteria positive (NLP-PAC+/NLP-API+); PAC positive only (NLP-PAC+ only); API positive only (NLP-API+ only); and both criteria negative (NLP-PAC−/NLP-API−)) and characterised them. Results were replicated in unsupervised cluster analysis for asthmatics and a random sample of 300 children using laboratory and pulmonary function tests (PFTs). Results Of the 8196 subjects (51% male, 80% white), we identified 1614 (20%), NLP-PAC+/NLP-API+; 954 (12%), NLP-PAC+ only; 105 (1%), NLP-API+ only; and 5523 (67%), NLP-PAC−/NLP-API−. Asthmatic children classified as NLP-PAC+/NLP-API+ showed earlier onset asthma, more Th2-high profile, poorer lung function, higher asthma exacerbation and higher risk of asthma-associated comorbidities compared with other groups. These results were consistent with those based on unsupervised cluster analysis and lab and PFT data of a random sample of study subjects. Conclusion Expert AI-based NLP algorithms for two asthma criteria systematically identify childhood asthma with distinctive characteristics. This approach may improve precision, reproducibility, consistency and efficiency of large-scale clinical studies for asthma and enable population management.