Citations

Mayo Clinic

Clear

245 citation(s) found for "Hung, R".

Gastroepiploic Lymph Node Flap Harvest for Patients With Lymphedema
Manrique, Oscar J. , Bustos, Samyd S. , Yan, María , Ciudad, Pedro , Forte, Antonio J. , Forte, Antonio Jorge , Bustos, S S , Kuruoglu, Doga , Chen, Hung‐Chi

Annals of Plastic Surgery | June 10, 2020 | Volume: 85 | Issue: S1 | Pages: S87-S91

10.1097/sap.0000000000002460 | PMID 32530851 Get It

Background Vascularized gastroepiploic lymph node flaps have become a popular option to treat patients with extremity lymphedema. Overall, 2 surgical approaches to harvest this flap have been described: laparoscopic and open. In this study, we analyzed complications, harvesting time, and patient satisfaction scores, comparing these 2 techniques. Methods Between 2012– and 2018, all patients with extremity lymphedema and candidates for the gastroepiploic flap harvest were included. Two groups were compared: open and laparoscopic approaches. Flap harvest time, postoperative pain, complications, return of gastrointestinal motility, time to discharge, and patient satisfaction scores were assessed. Results A total of 177 patients were included, of which 126 underwent laparoscopic harvest and 51 patients underwent open approach. Only 2 patients in the laparoscopic group had prior abdominal surgery not related to cancer treatment compared with 7 patients in the open approach (P < 0.01). Average surgical completion time for the laparoscopic versus open approach was 136 and 102 minutes, respectively (P < 0.02). Postoperative complications for the laparoscopic versus open were as follows: 1 patient developed pancreatitis and 2 developed ileus in the laparoscopic approach, whereas 3 patients developed ileus, 1 developed small bowel obstruction, 2 developed superficial site infection, and 1 developed minor wound dehiscence in the open approach. No patient required further surgical intervention. Average return of gastrointestinal function was 1 day (laparoscopic) and 2 days (open), respectively. On a pain scale, pain scores at postoperative day 1 and upon discharge were on average 3 versus 7 and 2 versus 5, respectively (P < 0.05). Lengths of hospital stay were on average 2 days in the laparoscopic group and 5 days in the open group (P < 0.001). Patient satisfaction scores based on pain and scars were significantly better in the laparoscopic group versus open group (P < 0.03). Conclusions These data support that a minimal invasive approach is ideal and efficient when resources are available. In addition, the lower complication rate and high patient satisfaction scores give promising feedback to continue offering this technique.
Osimertinib in previously EGFR-TKI treated non-small cell lung cancer (NSCLC) patients without T790M mutation: Real-world evidence.
Tazelaar, Henry D. , Li, Yalun , Peikert, Tobias, Leventakos, Konstantinos , Chiou, Shih‐Hwa , Luo, Yung‐Hung , Liu, Han , Wampfler, Jason A. , Tazelaar, Henry D. , Liu, Dan , Chen, Yuh‐Min , Yang, Yanan , Yang, Ping

Journal of Clinical Oncology | May 25, 2020 | Volume: 38 | Issue: 15_suppl | Pages: e21631-e21631

10.1200/jco.2020.38.15_suppl.e21631 Get It

e21631 Background: The efficacy of osimertinib in previously EGFR-TKI treated NSCLC patients without T790M mutation remains unclear in real-world practice. We investigated whether osimertinib can provide survival benefit in EGFR-mutant patients without T790M mutation after 1st/2nd generation TKI treatment. Methods: Between January 1, 2009, and March 31, 2019, 417 patients had stage III-IV NSCLC harboring EGFR mutation and 154 out of 417 patients receiving osimertinib as≥2nd-line EGFR-TKI treatment were identified at Mayo Clinic. The time to treatment failure of osimertinib was analyzed by the Kaplan-Meier (KM) estimates. The risk of death post diagnosis was analyzed by Cox proportional hazard models. Results: Among 417 EGFR-mutant patients, higher risk of death was found in patients with age above 65 years, non-adenocarcinoma, no surgery treatment, no radiation treatment, non-exon 19 deletion/exon 21 L858R mutation, higher ECOG PS (2-4), PD-L1 expression of 50% or more, bone metastasis, live metastasis, and adrenal metastasis (all p < 0.05). Moreover, osimertinib as ≥2nd-line TKI treatment in patients with or without T790M revealed lower risk of death compared to 1st/2nd generation TKI treatment without subsequent osimertinib (HR = 0.33; 0.46, and p = 0.0002; 0.0232, respectively). However, among patients receiving osimertinib as ≥2nd-line TKI treatment, patients with T790M did not have superior survival than those without (p = 0.2803). Among 154 patients receiving osimertinib, a higher risk of treatment failure for osimertinib was found in male (HR = 1.72; p = 0.0327), patients with 1st-line TKI duration ≤12 months (HR = 2.16; p = 0.0019), BMI drop > 10% (HR = 1.85; p = 0.0207), PD-L1 levels of 50% or more (HR = 4.28; p = 0.0008), and 1st-line TKI with afatinib (HR = 2.19; p = 0.0136). Nonetheless, osimertinib as ≥2nd-line TKI in patients without 790M mutation did not have higher risk of treatment failure than those with T790M (p = 0.1236). Conclusions: This is the first study to demonstrate that osimertinib can provide similar survival benefit in previously EGFR-TKI treated NSCLC patients without T790M mutation as those with T790M in real-world practice. Additionally, EGFR-mutant patients with PD-L1 expression ≥50% had a higher risk of treatment failure for osimertinib and worse overall survival than those with PD-L1 expression < 50% and may potentially gain benefit from optimizing treatment strategies including immunotherapy.
Longitudinal and personalized detection of circulating tumor DNA (ctDNA) for monitoring efficacy of atezolizumab plus bevacizumab in patients with unresectable hepatocellular carcinoma (HCC).
Lu, Shan , Abbas, Alex , Guan, Yinghui , Zhu, Andrew X. , Aleshin, Alexey , Lee, Michael Sangmin, Ding, Beiying, Spahn, Jessica, Verret, Wendy , Wang, Yulei , Hsu, Chih‐Hung , Lee, Kyung-Hun , Mahipal, Amit , Ryoo, Baek‐Yeol , He, Aiwu Ruth

Journal of Clinical Oncology | May 25, 2020 | Volume: 38 | Issue: 15_suppl | Pages: 3531-3531

10.1200/jco.2020.38.15_suppl.3531 Get It

3531 Background: ctDNA has emerged as a promising biomarker for noninvasive monitoring of treatment response and disease progression in many tumor types. However, the clinical use of ctDNA in patients with HCC has not been established. Here, we evaluated longitudinal and personalized detection of ctDNA for monitoring the treatment response to atezolizumab (atezo) + bevacizumab (bev) in patients with unresectable HCC not previously treated with systemic therapy. Methods: A subset (n = 48) of 104 patients with HCC who enrolled in Arm A of GO30140 (NCT02715531; Phase 1b) and received atezo + bev treatment were included in this study. These patients had 10 CR, 11 PR, 12 SD and 15 PD per IRF-assessed RECIST 1.1. Serial plasma samples were collected at baseline (Cycle [C]1 Day [D]1), during treatment (C2D1, C4D1) and at disease progression. Somatic mutations in individual tumors were identified via whole exome sequencing of archival tumor tissues or fresh biopsies collected before treatment. Personalized ctDNA assays (Signatera 16-plex multiplex PCR next-generation sequencing assay) specific to each patient’s tumor mutational signatures were successfully designed for 47 of 48 patients. Results: At C1D1, a median of 25.7 ng of cell-free DNA was extracted from 2-mL plasma samples. ctDNA was detected in 45 of 47 patients (96%), with a median of 70.6 mean tumor molecules/mL of plasma (MTM/mL) and a median of 1.8% mean variant allele frequency (mean VAF) in plasma. Higher ctDNA levels detected at C1D1 appeared to be associated with increased tumor burden ( P < 0.03). Dynamic changes in ctDNA levels post-treatment were associated with response at C4D1. ctDNA status changed from positive at baseline to negative in 7 of 10 CR (70%), 3 of 11 PR (27%), 1 of 11 SD (9%) and 0 of 11 PD (0%) patients. Longer PFS was observed in patients whose ctDNA became undetectable post-treatment. The median PFS in patients with ctDNA present vs cleared at C4D1 was 6.5 months and not reached, respectively (HR, 12 [1.7-93], log-rank P < 0.00029). Conclusions: Our study showed that Signatera, a personalized and tumor-informed ctDNA assay, could be used as a sensitive method for detecting ctDNA in patients with unresectable HCC. More importantly, our results illustrate the promise of ctDNA as an emerging biomarker that may potentially help to monitor treatment responses and disease progression in patients with HCC.
Smoking cessation (SC) and lung cancer (LC) outcomes: A survival benefit for recent-quitters? A pooled analysis of 34,649 International Lung Cancer Consortium (ILCCO) patients.
Fares, Aline Fusco , Jiang, Mei , Chen, Chu , Brennan, Paul , Zhang, Jie , Schwartz, Ann G. , Landi, Maria Teresa , Adonina, Garcia, Shete, Sanjay , Hung, Rayjean, Yang, Ping , Christiani, David C. , Shiraishi, Kouya , Ryan, Bríd M. , Shen, Hongbing , Schabath, Matthew B. , Marchand, Loı̈c Le , Cox, Angela , Hung, Rayjean, Xu, Wei , Liu, Geoffrey

Journal of Clinical Oncology | May 25, 2020 | Volume: 38 | Issue: 15_suppl | Pages: 1512-1512

10.1200/jco.2020.38.15_suppl.1512 Get It

1512 Background: Tobacco smoking profoundly impacts LC risk; however, data are limited as to what extent SC prior to diagnosis impacts LC overall survival (OS) and lung cancer specific survival (LCSS). LC screening offers a possible teachable moment, but there is uncertainty of SC benefits after a lifetime of smoking. We use the ILCCO database to answer if SC prior to LC dx is associated with better OS and LCSS, considering time since smoking cessation (TSSC). Methods: Using individual data, analysis was performed on 17 ILCCO studies with available TSSC to estimate survival using univariable analysis and models of stage-adjusted and cumulative smoking-adjusted multivariable analysis. Adjusted Hazard Ratios (aHR) from Cox models, cubic spline smooth curves and Kaplan-Meier curves were created. Sensitivity analysis was performed for TSSC and LCSS on 13 studies. Results: Of 34649 patients, 14322 (41%) were current smokers 14273 (41%) ex-smokers and 6054 (18%) never smokers at diagnosis. We confirmed that ex-smokers (aHR 0.88 CI 0.86-0.91) and never smokers (aHR 0.76 CI 0.73-0.8) improved OS compared to current smokers. Amongst ex-smokers, < 2y TSSC (aHR 0.88 CI 0.82-0.94), 2-5y TSSC (aHR 0.83 CI 0.77-0.90) and > 5y TSSC (aHR 0.8 CI 0.76-0.84) had improved OS compared to CS. Sensitivity analysis showed a trend towards improved LCSS survival for < 2y TSSC (aHR 0.95 CI 0.86-1.05) and 2-5y TSSC (aHR 0.93 CI 0.83-1.04), whereas > 5y TSSC significantly improved LCSS by 15% (aHR 0.85 CI 0.78-0.92). To mimic the LC screening participants, in analysis of > 30 pack-years individuals, associations were strikingly strong: < 2y TSSC had improved OS by 14% (aHR 0.86 CI 0.80-0.93); 2-5y TSSC by 17% (aHR 0.83 CI 0.76-0.90); and > 5 TSSC by 22% (aHR 0.78 CI 0.74-0.83), compared to current smokers; for < 30 packs-years, a trend towards better OS was observed for < 2y TSSC (aHR 0.95 CI 0.92-1.02) and 2-5y TSSC (aHR 0.86 CI 0.74-1.01), whereas > 5y TSSC improved OS by 23% (aHR 0.77 CI 0.72-0.82). Conclusions: Among ex-smokers, the risk of overall death was reduced by 12% on < 2y TSSC, 17% on 2-5y TSSC and 20% > 5y TSSC, whereas for LCSS, the benefit was significant only for > 5y TSCC, compared to current smokers at time of diagnosis. Here we demonstrate that convincing screening participants to quit smoking at any point of their trajectory, even just prior to dx such as < 2y TSSC, improved OS, and LCSS benefit was present beyond 5y of quitting. These relationships are independent of pack-years, age, across all stages and other prognostic variables.
Efficient and Accurate Extracting of Unstructured EHRs on Cancer Therapy Responses for the Development of RECIST Natural Language Processing Tools: Part I, the Corpus
Li, Yalun , Wampfler, Jason A. , Rubinstein, Samuel M. , Tiryaki, Firat, Kumar, Ashok, Xu, Hua , Ashok, Kumar, Luo, Yung‐Hung , Warner, Jeremy L. , Yang, Ping

JCO Clinical Cancer Informatics | May 4, 2020 | Volume: No volume available | Issue: 4 | Pages: 383-391

10.1200/cci.19.00147 | PMID 32364754 Get It

PURPOSE Electronic health records (EHRs) are created primarily for nonresearch purposes; thus, the amounts of data are enormous, and the data are crude, heterogeneous, incomplete, and largely unstructured, presenting challenges to effective analyses for timely, reliable results. Particularly, research dealing with clinical notes relevant to patient care and outcome is seldom conducted, due to the complexity of data extraction and accurate annotation in the past. RECIST is a set of widely accepted research criteria to evaluate tumor response in patients undergoing antineoplastic therapy. The aim for this study was to identify textual sources for RECIST information in EHRs and to develop a corpus of pharmacotherapy and response entities for development of natural language processing tools. METHODS We focused on pharmacotherapies and patient responses, using 55,120 medical notes (n = 72 types) in Mayo Clinic’s EHRs from 622 randomly selected patients who signed authorization for research. Using the Multidocument Annotation Environment tool, we applied and evaluated predefined keywords, and time interval and note-type filters for identifying RECIST information and established a gold standard data set for patient outcome research. RESULTS Key words reduced clinical notes to 37,406, and using four note types within 12 months postdiagnosis further reduced the number of notes to 5,005 that were manually annotated, which covered 97.9% of all cases (n = 609 of 622). The resulting data set of 609 cases (n = 503 for training and n = 106 for validation purpose), contains 736 fully annotated, deidentified clinical notes, with pharmacotherapies and four response end points: complete response, partial response, stable disease, and progressive disease. This resource is readily expandable to specific drugs, regimens, and most solid tumors. CONCLUSION We have established a gold standard data set to accommodate development of biomedical informatics tools in accelerating research into antineoplastic therapeutic response.
Loss of TMEM106B leads to myelination deficits: implications for frontotemporal dementia treatment strategies
Zhou, Xiaolai , Nicholson, Alexandra M., Ren, Yingxue , Brooks, Mieu, Jiang, Peizhou , Zuberi, Aamir , Phuoc, Hung Nguyen, Perkerson, Ralph B., Matchett, Billie J. , Parsons, Tammee M., Finch, NiCole A., Lin, Wen-Lang, Qiao, Wenhui , Castanedes‐Casey, Monica , Phillips, Virginia , Librero, Ariston L, Asmann, Yan W. , Bu, Guojun , Murray, Melissa E. , Rademakers, Rosa , Matchett, Billie, Lin, Wenlang, Asmann, Yan, Bu, Guojun , Murray, Melissa E , Finch, NiCole A., Lutz, Cathleen M. , Dickson, Dennis W.

Brain | May 1, 2020 | Volume: 143 | Issue: 6 | Pages: 1905-1919

10.1093/brain/awaa141 | PMID 32504082 Get It

Abstract Genetic variants that define two distinct haplotypes at the TMEM106B locus have been implicated in multiple neurodegenerative diseases and in healthy brain ageing. In frontotemporal dementia (FTD), the high expressing TMEM106B risk haplotype was shown to increase susceptibility for FTD with TDP-43 inclusions (FTD-TDP) and to modify disease penetrance in progranulin mutation carriers (FTD-GRN). To elucidate the biological function of TMEM106B and determine whether lowering TMEM106B may be a viable therapeutic strategy, we performed brain transcriptomic analyses in 8-month-old animals from our recently developed Tmem106b−/− mouse model. We included 10 Tmem106b+/+ (wild-type), 10 Tmem106b+/− and 10 Tmem106−/− mice. The most differentially expressed genes (153 downregulated and 60 upregulated) were identified between Tmem106b−/− and wild-type animals, with an enrichment for genes implicated in myelination-related cellular processes including axon ensheathment and oligodendrocyte differentiation. Co-expression analysis also revealed that the most downregulated group of correlated genes was enriched for myelination-related processes. We further detected a significant loss of OLIG2-positive cells in the corpus callosum of Tmem106b−/− mice, which was present already in young animals (21 days) and persisted until old age (23 months), without worsening. Quantitative polymerase chain reaction revealed a reduction of differentiated but not undifferentiated oligodendrocytes cellular markers. While no obvious changes in myelin were observed at the ultrastructure levels in unchallenged animals, treatment with cuprizone revealed that Tmem106b−/− mice are more susceptible to cuprizone-induced demyelination and have a reduced capacity to remyelinate, a finding which we were able to replicate in a newly generated Tmem106b CRISPR/cas9 knock-out mouse model. Finally, using a TMEM106B HeLa knock-out cell line and primary cultured oligodendrocytes, we determined that loss of TMEM106B leads to abnormalities in the distribution of lysosomes and PLP1. Together these findings reveal an important function for TMEM106B in myelination with possible consequences for therapeutic strategies aimed at lowering TMEM106B levels.
Global injury morbidity and mortality from 1990 to 2017: results from the Global Burden of Disease Study 2017
James, Spencer L , Castle, Chris D, Dingels, Zachary V, Fox, Jack T, Hamilton, Erin B, Sylte, Dillon O , Henry, Nathaniel J , LeGrand, Kate E , Abdelalim, Ahmed , Abdulkader, Rizwan Suliankatchi , Abedi, Aidin , Eshete, Akine , Abushouk, Abdelrahman Ibrahim , Adebayo, Oladimeji , Agudelo‐Botero, Marcela , Ahmad, Tauseef , Aichour, Miloud Taki Eddine, Alahdab, Fares , Alamene, Genet Melak, Alanezi, Fahad , Alebel, Animut , Alema, Niguse Meles , Ali, Beriwan Abdulqadir, Alikhani, Mahtab , Alipour, Vahid, Almasri, Nihad A. , Altirkawi, Khalid A , Amer, Yasser Sami , Amini, Saeed, Amit, Arianna Maever L. , Andrei, Cătălina Liliana , Ansari-Moghaddam, Alireza, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw , Arabloo, Jalal , Arefi, Zohreh , Aremu, Olatunde , Ariani, Filippo , Arora, Amit , Asghari, Babak , Awoke, Nefsu , Quintanilla, Beatriz Paulina Ayala , Ayano, Getinet , Ayanore, Martin Amogre , Azari, Samad , Azarian, Ghasem , Badawi, Alaa, Badiye, Ashish , Bagli, Eleni , Baig, Atif Amin , Bairwa, Mohan , Bakhtiari, Ahad , Banach, Maciej , Banerjee, Srikanta , Banik, Palash Chandra , Banstola, Amrit , Barker‐Collo, Suzanne , Bärnighausen, Till , Barrero, Lope H. , Barzegar, Akbar , Baye, Bayisa Abdissa , Bekuma, Tariku Tesfaye , Belete, Habte , Bennett, Derrick , Berhe, Kidanemaryam , Bhardwaj, Pankaj , Bhat, Anusha Ganapati , Bhattacharyya, Krittika , Bijani, Ali , Sayeed, Muhammad Shahdaat Bin , Borzì, Antonio Maria , Bražinová, Alexandra, Брико, Н. И. , Budhathoki, Shyam Sundar , Car, Josip , Cárdenas, Rosario , Carvalho, Félix , Castaldelli-Maia, João Maurício , Castañeda-Orjuela, Carlos A , Castelpietra, Giulio , Catalá-López, Ferrán , Cerin, Ester , Chandan, Joht Singh , Chanie, Wagaye Fentahun, Chattu, Soosanna Kumary , Chattu, Vijay Kumar , Chaudhary, Neha , Cho, Daniel , Chowdhury, Mohiuddin Ahsanul Kabir , Chu, Dinh‐Toi , Colquhoun, Samantha , Costa, Vera Marisa , Damiani, Giovanni , Dávila-Cervantes, Claudio Alberto , Demoz, Gebre Teklemariam , Demsie, Desalegn Getnet , Derakhshani, Afshin , Deribe, Kebede , Desai, Rupak , Nasab, Mostafa Dianati, Silva, Diana Dias da , Forooshani, Zahra Sadat Dibaji, Doyle, Kerrie , Driscoll, Tim , Dubljanin, Eleonora , Adema, Bereket Duko , Eagan, Arielle Wilder , Eftekhari, Aziz , Ehsani‐Chimeh, Elham , Elemineh, Demelash Abewa , El-Jaafary, Shaimaa I , El‐Khatib, Ziad , Ellingsen, Christian Lycke , Emamian, Mohammad Hassan , Endalew, Daniel Adane , Faris, Pawan , Faro, André , Farzadfar, Farshad , Fatahi, Yousef , Fekadu, Wubalem , Ferede, Tomas Y, Fereshtehnejad, Seyed‐Mohammad , Fernandes, Eduarda , Ferrara, Pietro , Feyissa, Garumma Tolu , Fischer, Florian , Foláyan, Morẹ́nikẹ́ Oluwátóyìn , Francis, Joel M , Fukumoto, Takeshi , Geberemariyam, Biniyam Sahiledengle, Gebre, Abadi Kahsu , Gebremedhin, Ketema Bizuwork , Gebremeskel, Gebreamlak Gebremedhn , Gebremichael, Berhe , Gedefaw, Getnet , Geta, Birhanu, Ghafourifard, Mansour , Ghamari, Farhad , Ghashghaee, Ahmad , Gholamian, Asadollah , Gill, Tiffany K, Goulart, Alessandra C. , Grada, Ayman , Gubari, Mohammed Ibrahim Mohialdeen , Guo, Yuming , Haagsma, Juanita A. , Hafezi‐Nejad, Nima , Hall, Brian J. , Hamadeh, Randah R , Hasan, Md. Mehedi , Hassen, Hamid Yimam , Havmoeller, Rasmus, Heydarpour, Fatemeh , Hı́jar, Martha , Ho, Hung Chak , Hoang, Chi Linh , Hole, Michael K., Hossain, Naznin , Hosseinzadeh, Mehdi , Hostiuc, Sorin , Ibitoye, Segun Emmanuel , Ilić, Irena , Ilić, Milena , Inbaraj, Leeberk Raja , Indriasih, Endang , Irvani, Seyed Sina Naghibi , Islam, Sheikh Mohammed Shariful , Islam, M. Mofizul , Ivers, Rebecca , Jacobsen, Kathryn H. , Jahani, Mohammad Ali, Jahanmehr, Nader , Jakovljević, Mihajlo , Jayaraman, Sudha , Jha, Ravi Prakash , John-Akinola, Yetunde O. , Joseph, Nitin , Joukar, Farahnaz, Jozwiak, Jacek Jerzy , Jürisson, Mikk , Kadel, Rajendra , Kahsay, Amaha , Kalankesh, Leila R , Kalhor, Rohollah , Kamil, Teshome Abegaz, Kapoor, Neeti , Karami, Manoochehr , Kasaeian, Amir , Kassaye, Hagazi Gebremedhin, Kavetskyy, Taras , Kebede, Hafte Kahsay , Keiyoro, Peter Njenga, Kelbore, Abraham Getachew , Kelkay, Bayew, Khader, Yousef , Khafaie, Morteza Abdullatif , Khalid, Nauman , Khalil, Ibrahim A, Khalilov, Rovshan , Khan, Ejaz Ahmad , Khan, Maseer , Khanna, Tripti, Shadmani, Fatemeh Khosravi , Khundkar, Roba , Kiirithio, Daniel N, Kim, Yun Jin , Kısa, Adnan , Kısa, Sezer , Komaki, Hamidreza , Kondlahalli, Shivakumar K M, Korshunov, Vladimir Andreevich , Kraemer, Moritz U. G. , Krishan, Kewal , Biçer, Burcu Küçük , Kugbey, Nuworza , Kumar, Vivek , Kumar, G Anil , Kumar, Manasi , Kumaresh, Girikumar, Kurmi, Om , Kuti, Oluwatosin, Lami, Faris , Lamichhane, Prabhat , Lang, Justin J. , Lasrado, Savita , Leasher, Janet L , Lee, Shaun Wen Huey , Lenjebo, Tsegaye Lolaso , Li, Shanshan , Linn, Shai , Liu, Xuefeng , Lunevičius, Raimundas , Lyons, Ronan A , Madadin, Mohammed , Razek, Muhammed Magdy Abd El, Mahotra, Narayan Bahadur , Majdán, Marek , Malagón-Rojas, Jeadran , Maled, Venkatesh , Manafi, Navid , Manafi, Amir , Manda, Ana-Laura, Mansour-Ghanaei, Fariborz, Mansouri, Borhan , March, Lyn , Mason‐Jones, Amanda J. , Masoumi, Seyedeh Zahra , Massenburg, Benjamin B. , Maulik, Pallab K , Meles, Gebrekiros Gebremichael , Melketsedik, Zeleke Aschalew , Memiah, Peter , Mendoza, Walter, Menezes, Ritesh G. , Mengesha, Melkamu Merid , Meretoja, Tuomo J , Meretoja, Atte , Merie, Hayimro Edemealem , Miazgowski, Bartosz , Miazgowski, Tomasz , Miller, Ted R. , Mini, GK , Мirrakhimov, Erkin М , Mirzaei-Alavijeh, Mehdi , Mithra, Prasanna , Moazen, Babak , Moghadaszadeh, Masoud, Mohammad, Yousef , Mohammad, Karzan Abdulmuhsin , Mezerji, Naser Mohammad Gholi, Mohammadian-Hafshejani, Abdollah , Mohammadoo-Khorasani, Milad, Mohammed, Shafiu , Mohammed, Jemal , Mohebi, Farnam , Molokhia, Mariam , Monasta, Lorenzo , Moodley, Yoshan , Moosazadeh, Mahmood , Moradi, Masoud , Moradi, Ghobad , Moradpour, Farhad , Morawska, Lídia , Velásquez, Ilais Moreno , Mossie, Tilahun Belete , Murthy, Srinivas , Musa, Kamarul Imran , Mustafa, Ghulam , Nabhan, Ashraf , Nagarajan, Ahamarshan Jayaraman , Naik, Gurudatta , Naimzada, Mukhammad David , Nangia, Vinay, Nascimento, Bruno Ramos , Naserbakht, Morteza , Ndwandwe, Duduzile , Negoi, Ionuţ , Ngunjiri, Josephine W, Nguyen, Cuong Tat , Nikbakhsh, Rajan , Ningrum, Dina Nur Anggraini , Nnaji, Chukwudi A , Nyasulu, Peter S. , Ogbo, Felix Akpojene , Oghenetega, Onome Bright , Okunga, Emmanuel , Olagunju, Andrew T , Olagunju, Tinuke O , Bali, Ahmed Omar , Onwujekwe, Obinna , Asante, Kwaku Oppong , Orpana, Heather , Otstavnov, Nikita , Otstavnov, Stanislav S , Mahesh, P A , Padubidri, Jagadish Rao , Pakhalé, Smita , Pakshir, Keyvan , Panda‐Jonas, Songhomitra, Park, Eun‐Kee , Patel, Sangram Kishor , Pathak, Ashish , Pati, Sanghamitra , Paulos, Kebreab , Pepito, Veincent Christian Filipino , Pham, Hai Quang , Pinheiro, Marina , Полибин, Р. В. , Polinder, Suzanne, Poustchi, Hossein, Prakash, Swayam , Pribadi, Dimas Ria Angga , Puri, Parul , Syed, Zahiruddin Quazi, Rabiee, Navid , Radfar, Amir , Rafay, Anwar, Rafiee, Ata , Rafiei, Alireza , Rahim, Fakher , Rahimi, Siavash , Rahimi‐Movaghar, Vafa , Rahman, Muhammad Aziz , Rajabpour-Sanati, Ali, Rajati, Fatemeh , Rakovac, Ivo , Ranganathan, Kavitha , Rao, Sowmya J, Rashedi, Vahid , Rastogi, Prateek , Rathi, Priya , Rawal, Lal , Rawassizadeh, Reza , Renjith, Vishnu , Renzaho, André M. N. , Resnikoff, Serge , Rezapour, Aziz, Rickard, Jennifer , Ríos-González, Carlos Miguel , Sabde, Yogesh , Saddik, Basema , Safari, Saeed , Safarpour, Hamid , Safdarian, Mahdi , Sajadi, S. Mohammad , Salamati, Payman, Salehi, Farkhonde , Zahabi, Saleh Salehi , Salem, Marwa Rashad , Salem, Hosni , Salman, Omar , Salz, Inbal, Samy, Abdallah M , Sanabria, Juan , Sànchez-Riera, Lídia , Santric-Milicevic, Milena M , Sarveazad, Arash , Sathian, Brijesh , Sawhney, Monika, Sawyer, Susan M. , Saxena, Sonia , Schwebel, David C. , Seedat, Soraya , Senthilkumaran, Subramanian , Seyedmousavi, Seyedmojtaba , Sha, Feng , Shaahmadi, Faramarz , Shaikh, Masood Ali , Shams-Beyranvand, Mehran , Shamsizadeh, Morteza , Sharif-Alhoseini, Mahdi , Sharifi, Hamid , Sheikh, Aziz , Shigematsu, Mika, Shin, Jae Il , Shiri, Rahman , Sigfúsdóttir, Inga Dóra, Singh, Pankaj Kumar , Sinha, Dhirendra Narain , Smarandache, Catalin-Gabriel , Soleymani, Bija, Soriano, Joan B. , Soyiri, Ireneous N , Stein, Dan J. , Sufiyan, Mu’awiyyah Babale , Suleria, Hafiz Ansar Rasul , Sykes, Bryan L. , Tabarés‐Seisdedos, Rafael , Tabb, Karen M. , Wogayehu, Biruk , Tamiru, Animut Tagele , Tarigan, Ingan Ukur , Tefera, Yibekal Manaye , Tekle, Merhawi Gebremedhin , Tekulu, Gebretsadkan Hintsa , Kassie, Ayenew , Bedaso, Asres , Tlaye, Kenean Getaneh , Tohidinik, Hamid Reza , Topór-Mądry, Roman , Tripathy, Jaya Prasad , Tsai, Alexander C. , Car, Lorainne Tudor , Ullah, Saif , Ullah, Irfan , Umar, Maida, Unnikrishnan, Bhaskaran , Upadhyay, Era , Valdéz, Pascual , Violante, Francesco Saverio , Waheed, Yasir , Teklay, Girmay , Werdecker, Andrea , Wiangkham, Taweewat , Wolde, Haileab Fekadu , Woldeyes, Dawit Habte , Yadav, Rajaram , Yadollahpour, Ali , Yano, Yuichiro , Yaya, Sanni , Yazdi‐Feyzabadi, Vahid , Yisma, Engida , Yoon, Seok‐Jun , Youm, Yoosik , Younis, Mustafa Z , Yousefi, Zabihollah , Yu, Yong , Yusefzadeh, Hasan, Moghadam, Telma Zahirian , Zaman, Sojib Bin , Zamanian, Maryam , Zhang, Zhi-Jiang , Zhang, Yunquan , Zodpey, Sanjay , Dandona, Lalit , Dandona, Rakhi , Hay, Simon I , Mokdad, Ali H. , Reiner, Robert C. , Sartorius, Benn , Vos, Theo , Topór‐Mądry, Roman , Zahiruddin, Quazi Syed , Dianatinasab, Mostafa , Sanati, Ali Rajabpour , Baig, Atif Amin , Kumar, Vivek , Stein, Dan J , Castaldelli-Maia, João M , Farzadfar, Farshad , Shin, Jae I L , Islam, Sheikh Mohammed Shariful , Rahman, Muhammad Aziz , Belete, T , Liu, Zichen, Roberts, Nicholas L S , Abdoli, Amir , Abdollahpour, Ibrahim , Ahmed, Rushdiá , Ahmed, Muktar Beshir , Alghnam, Suliman Abdullah , Al‐Hajj, Samar , Ali, Saqib , Alinia, Cyrus , Aljunid, Syed Mohamed , Almasi‐Hashiani, Amir , Amini, Saeed, Antonio, Carl Abelardo T. , Arab-Zozani, Morteza , Asaad, Malke , Balachandran, Arun , Bayati, Mohsen , Bedi, Neeraj , Behzadifar, Masoud , Benjet, Corina L. , Benseñor, Isabela M. , Bibi, Sadia , Borges, Guilherme , Boufous, Soufiane , Chatziralli, Irini , Constantin, María Magdalena , Daryani, Ahmad , Demeke, Feleke Mekonnen , Demis, Asmamaw , Forooshani, Zahra Sadat Dibaji, Duko, Bereket , Zaki, Maysaa El Sayed , Adane, Daniel, Eskandarieh, Sharareh , Yeheyis, Tomas Y. , Filip, Irina , Foroutan, Masoud , Franklin, Richard C. , Gill, Tiffany K. , Grivna, Michal , Guimarães, Rafael Alves , Gupta, Gaurav Kumar , Haghparast‐Bidgoli, Hassan , Hamidi, Samer , Haro, Josep María , Hasanzadeh, Amir , Hassanipour, Soheil , Hassankhani, Hadi , Hayat, Khezar , Hendrie, Delia V. , Holla, Ramesh , Hu, Guoqing , Ilesanmi, Olayinka Stephen , Jalilian, Farzad , Jayatilleke, Achala Upendra , Jonas, Jost B , Jungari, Suresh Banayya , Kabir, Ali , Kanchan, Tanuj , Rade, Bayew Kelkay , Khalil, Ibrahim A, Khammarnia, Mohammad , Khazaie, Habibolah , Kim, Young‐Eun , Kim, Daniel , Shivakumar, KM , Koyanagi, Ai , Kumar, Nithin , Vecchia, Carlo La , Lansingh, Van Charles , Laryea, Dennis Odai , Latifi, Arman , Lauriola, Paolo , Levi, Miriam , Lopez, Alan D , Lotufo, Paulo A. , Majeed, Azeem , Malekzadeh, Reza , Malta, Déborah Carvalho , Manjunatha, Narayana , Mansour‐Ghanaei, Fariborz , Mansournia, Mohammad Alì , Maravilla, Joemer Calderon , Melese, Addisu Dagnaw , Aschalew, Zeleke , Mengesha, Meresa Berwo , Meštrović, Tomislav , Mirică, Andreea , Mohamadi, Efat , Darwesh, Aso Mohammad , Mohammadpourhodki, Reza , Moradi‐Lakeh, Maziar , Morisaki, Naho , Morrison, Shane D. , Muluneh, Atalay Goshu , Najafi, Farid , Nayak, Vinod C , Nguyen, Huong Lan Thi , Oh, In‐Hwan , Ota, Erika , Patton, George , Peden, Amy E. , Pereira, Jeevan , Phillips, Michael , Rabiee, Mohammad , Rawaf, Salman , Ribeiro, Ana Isabel , Ronfani, Luca , Roshandel, Gholamreza , Saad, Anas M. , Sabour, Siamak , Safari‐Faramani, Roya , Salamati, Payman, Sarker, Abdur Razzaque , Sayyah, Mehdi , Sepanlou, Sadaf Ghajarieh , Shahabi, Saeed , Siabani, Soraya , Singh, Jasvinder A. , Smith, Emma U.R. , Soheili, Amin , Soltanian, Ali Reza , Sorrie, Muluken Bekele , Stokes, Mark Andrew , Tadesse, Degena Bahrey , Tehrani‐Banihashemi, Arash , Tesfay, Berhe Etsay , Thapar, Rekha , Tran, Bach Xuan , Tran, Khanh Bao , Uthman, Olalekan Abdulrahman , Vasankari, Tommi Juhani , Venketasubramanian, Narayanaswamy , Vlassov, Vasily , Wondafrash, Dawit Zewdu , Wondmeneh, Temesgen Gebeyehu , Wondmieneh, Adam Belay , Wu, Aimin , YIP, PAUL S. F. , Yonemoto, Naohiro , Yu, Chuanhua , Zaidi, Zoubida , Zamani, Mohammad , Zandian, Hamed , Zarei, Ahmad , Zare, Fatemeh, Degenhardt, Louisa J , Dharmaratne, Samath Dhamminda , Olagunju, Andrew T , Baig, Atif Amin , Desai, Rupak , Alahdab, Fares , Rahim, Fakher

Injury Prevention | April 24, 2020 | Volume: 26 | Issue: Suppl 2 | Pages: i96-i114

10.1136/injuryprev-2019-043494 | PMID 32332142 Get It

Background Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries. Methods We reviewed results for injuries from the GBD 2017 study. GBD 2017 measured injury-specific mortality and years of life lost (YLLs) using the Cause of Death Ensemble model. To measure non-fatal injuries, GBD 2017 modelled injury-specific incidence and converted this to prevalence and years lived with disability (YLDs). YLLs and YLDs were summed to calculate disability-adjusted life years (DALYs). Findings In 1990, there were 4 260 493 (4 085 700 to 4 396 138) injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554) deaths in 2017, while age-standardised mortality decreased from 1079 (1073 to 1086) to 738 (730 to 745) per 100 000. In 1990, there were 354 064 302 (95% uncertainty interval: 338 174 876 to 371 610 802) new cases of injury globally, which increased to 520 710 288 (493 430 247 to 547 988 635) new cases in 2017. During this time, age-standardised incidence decreased non-significantly from 6824 (6534 to 7147) to 6763 (6412 to 7118) per 100 000. Between 1990 and 2017, age-standardised DALYs decreased from 4947 (4655 to 5233) per 100 000 to 3267 (3058 to 3505). Interpretation Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017. Future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care.
Intraoperative Cardiac Arrest During Adult Liver Transplantation: Incidence and Risk Factor Analysis From 7 Academic Centers in the United States
Smith, Natalie , Zerillo, Jeron , Kim, Sang Jo, Efune, Guy , Pai, Sher‐Lu , Kor, Todd M. , Wetzel, David R., Burton, Kristen K., Fukazawa, Kyota , Hill, Bryan, Spad, Mia-Ashley, Wax, David B., Lin, Hung-Mo, Liu, Xiaoyu , Odeh, Jaffer, Torsher, Laurence C., Kindscher, James D., Mandell, M. Susan , Torsher, Laurence, Pai, Sher-Lu , Wang, Cynthia , Chadha, Ryan , Hall, Michael , Spad, Mia-Ashley, Sakai, Tetsuro , DeMaria, Samuel

Anesthesia & Analgesia | March 13, 2020 | Volume: 132 | Issue: 1 | Pages: 130-139

10.1213/ane.0000000000004734 | PMID 32167977 Get It

Background: Intraoperative cardiac arrest (ICA) has a reported frequency of 1 in 10,000 anesthetics but has a much higher estimated incidence in orthotopic liver transplantation (OLT). Single-center studies of ICA in OLT are limited by small sample size that prohibits multivariable regression analysis of risks. METHODS: Utilizing data from 7 academic medical centers, we performed a retrospective, observational study of 5296 adult liver transplant recipients (18–80 years old) between 2000 and 2017 to identify the rate of ICA, associated risk factors, and outcomes. RESULTS: ICA occurred in 196 cases (3.7% 95% confidence interval [CI], 3.2–4.2) and mortality occurred in 62 patients (1.2%). The intraoperative mortality rate was 31.6% in patients who experienced ICA. In a multivariable generalized linear mixed model, ICA was associated with body mass index (BMI) <20 (odds ratio [OR]: 2.04, 95% CI, 1.05–3.98; P = .0386), BMI ≥40 (2.16 [1.12–4.19]; P = .022), Model for End-Stage Liver Disease (MELD) score: (MELD 30–39: 1.75 [1.09–2.79], P = .02; MELD ≥40: 2.73 [1.53–4.85], P = .001), postreperfusion syndrome (PRS) (3.83 [2.75–5.34], P < .001), living donors (2.13 [1.16–3.89], P = .014), and reoperation (1.87 [1.13–3.11], P = .015). Overall 30-day and 1-year mortality were 4.18% and 11.0%, respectively. After ICA, 30-day and 1-year mortality were 43.9% and 52%, respectively, compared to 2.6% and 9.3% without ICA. CONCLUSIONS: We established a 3.7% incidence of ICA and a 1.2% incidence of intraoperative mortality in liver transplantation and confirmed previously identified risk factors for ICA including BMI, MELD score, PRS, and reoperation and identified new risk factors including living donor and length of surgery in this multicenter retrospective cohort. ICA, while rare, is associated with high intraoperative mortality, and future research must focus on therapy to reduce the incidence of ICA.
A phase I study of ISIS 481464 (AZD9150), a first-in-human, first-in-class, antisense oligonucleotide inhibitor of STAT3, in patients with advanced cancers.
Younes, Anas , Fayad, Luis, Fowler, Nathan , Hagemeister, Fredrick B., Mistry, Reena, Yamashita, Mason, Hughes, Steven G. , Kwoh, T. Jesse, MacLeod, A. Robert , Norris, Dan, Baldwin, Ron, Hung, Gene , Monia, Brett P. , Hong, David S. , Nemunaitis, John , Borad, Mitesh J. , Bryce, Alan H. , Kurzrock, Razelle

Journal of Clinical Oncology | March 12, 2020 | Volume: 31 | Issue: 15_suppl | Pages: 8523-8523

10.1200/jco.2013.31.15_suppl.8523 Get It

8523 Background: ISIS 481464 is a synthetic bicyclic nucleic acid-containing antisense oligonucleotide that is complementary to the mRNA for signal transducer and activator of transcription 3 (STAT3). Methods: Primary objective of the dose-escalation study (3+3 design) was to establish the maximum tolerated dose (MTD) and recommended phase II dose (RP2D). Secondary objectives included safety, tumor response, pharmacokinetics (PK), and pharmacodynamics (PD) using IL-6 and tumor markers. Patient (pt) eligibility included : >18 yrs old, solid tumors or lymphomas refractory to at least 1 prior systemic therapy. ISIS 481464 was administered IV as a loading dose on Days 1, 3, and 5 and then weekly. Results: 15 pts were dosed (4 at 2 mg/kg and 11 at 4 mg/kg). 6 pts had advanced lymphoma (3 DLBCL, 2 Hodgkin’s lymphoma, 1 mantle cell lymphoma) and 9 pts solid tumors. There was one dose limiting toxicity (DLT), a possibly related thrombotic microangiopathy at 4 mg/kg. Treatment emergent thrombocytopenia was observed with an average reduction of approximately 70% from baseline. Three pts, 1 at 2 mg/kg and 2 at 4 mg/kg, experienced nadirs in platelet count below 50x109/L (range 16 to 33x109/L). MTD was not reached; however, given the thrombocytopenia at 4mg/kg, the RP2D was 2mg/kg. Partial responses were observed in 2/3 DLBCL pts. The 1st DLBCL pt (2 mg/kg) with 10 prior treatments had a durable 55% reduction in tumor size and is ongoing treatment at 11 months. This pt had a 76% reduction in IL-6. The 2nd DLBCL pt (4 mg/kg) with 2 prior treatments had a 65% reduction for 4 months and was able to undergo autologous stem cell transplantation. There were no responses in the solid tumor pts. PKs revealed increased plasma trough levels (indicative of tissue concentrations) with increased dose. Conclusions: ISIS 481462 was well-tolerated and the RP2D was determined to be 2 mg/kg. Initial tumor activity was observed in DLBCL pts and a dose expansion in advanced lymphomas is ongoing. Clinical trial information: NCT01563302.
A Survey of LOINC Code Selection Practices Among Participants of the College of American Pathologists Coagulation (CGL) and Cardiac Markers (CRT) Proficiency Testing Programs
Stram, Michelle , Seheult, Jansen N. , Campbell, W. Scott , Carter, Alexis B. , Baca, Monica E. de , Luu, Hung S. , Seheult, Jansen, Sinard, John H, de Baca, Monica E, Quinn, Andrew M, Seheult, Jansen N , Stram, Michelle N , Sinard, John H. , Quinn, Andrew M., Luu, Hung S

Archives of Pathology & Laboratory Medicine | October 11, 2019 | Volume: 144 | Issue: 5 | Pages: 586-596

10.5858/arpa.2019-0276-oa | PMID 31603714 Get It

Context.— Biomedical terminologies such as Logical Observation Identifiers, Names, and Codes (LOINC) were developed to enable interoperability of health care data between disparate health information systems to improve patient outcomes, public health, and research activities. Objective.— To ascertain the utilization rate and accuracy of LOINC terminology mapping to 10 commonly ordered tests by participants of the College of American Pathologists (CAP) Proficiency Testing program. Design.— Questionnaires were sent to 1916 US and Canadian laboratories participating in the 2018 CAP coagulation (CGL) and/or cardiac markers (CRT) surveys requesting information on practice setting, instrument(s) and test method(s), and LOINC code selection and usage in the laboratory and electronic health records. Results.— Ninety of 1916 CGL and/or CRT participants (4.7%) responded to the questionnaire. Of the 275 LOINC codes reported, 54 (19.6%) were incorrect: 2 codes (5934-2 and 12345-1) (0.7%) did not exist in the LOINC database and the highest error rates were observed in the property (27 of 275, 9.8%), system (27 of 275, 9.8%), and component (22 of 275, 8.0%) LOINC axes. Errors in LOINC code selection included selection of the incorrect component (eg, activated clotting time instead of activated partial thromboplastin time); selection of panels that can never be used to obtain an individual analyte (eg, prothrombin time panel instead of international normalized ratio); and selection of an incorrect specimen type. Conclusions.— These findings of real-world LOINC code implementation across a spectrum of laboratory settings should raise concern about the reliability and utility of using LOINC for clinical research or to aggregate data.