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Minority and low‐income patients are less likely to have a scale for self‐weighing in their home: A survey in primary care
Bramante, Carolyn T. , Lee, Grace , Amsili, Safira S., Linde, Jennifer A. , Bennett, Wendy L. , Gudzune, Kimberly A. , Phelan, Sean M. , Gudzune, K A , Appel, Lawrence J. , Clark, Jeanne M.

Clinical Obesity | May 8, 2020 | Volume: 10 | Issue: 4 | Pages: No page available

10.1111/cob.12363 | PMID 32383356 Get It

SummaryDaily self‐weighing is a weight management behaviour that requires a scale; however, scale ownership may be cost‐prohibitive for some patients. Our objective was to understand the proportion of primary care patients with a scale at home, and factors associated with home scale access, to potentially inform future interventions that facilitate scale access. Cross sectional survey of 216 adult patients from three primary care clinics: mixed‐income urban/suburban (n = 68); mixed‐income urban (n = 70); low‐income urban (n = 74). The dependent variable was presence of a home scale; bivariate associations were conducted with variables including demographics, insurance type, clinic setting and self‐reported height/weight. Mean age was 53 years; 71% women; 71% racial minority; mean body mass index 32 kg/m2. Overall, 56% had a home scale. Most (79%) white patients owned a scale, compared to 46% of racial minority patients (P < .01); 33% of low‐income patients owned scale, compared to over 66% of patients at the clinics serving mixed‐income populations (P < .01). Most low‐income urban clinic patients do not own a home scale. Because self‐weighing is an effective weight‐management behaviour, clinicians could consider assessing scale access, and future research should assess the health impact of providing scales to patients with overweight/obesity who desire weight loss or maintenance.
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.
Systemic immunosuppressive therapy for inflammatory skin diseases in children: Expert consensus‐based guidance for clinical decision‐making during the COVID‐19 pandemic
Reynolds, Sean , Mathur, Anubhav , Chiu, Yvonne E. , Brandling‐Bennett, Heather A. , Holland, Kristen E. , Siegfried, Elaine C. , Tom, Wynnis L. , Tollefson, Megha M. , Eichenfield, Lawrence F. , Sugarman, Jeffrey, Frieden, Ilona J. , Oza, Vikash S. , Cipriano, Sarah D. , Shah, Sonal D. , Lauren, Christine T. , Reynolds, Sean D , Siegfried, Elaine C , Lara-Corrales, Irene , Maguiness, Sheilagh , Eichenfield, Lawrence F , Lauren, Christine T , Castelo-Soccio, Leslie , Cordoro, Kelly M , Chiu, Yvonne E , Pope, Elena , Siegel, Michael P. , Paller, Amy S. , Maguiness, Sheilagh , Sugarman, Jeffrey, Huang, Jennifer T. , Castelo‐Soccio, Leslie , McMahon, Patrick, Cordoro, Kelly M.

Pediatric Dermatology | April 22, 2020 | Volume: 37 | Issue: 3 | Pages: 424-434

10.1111/pde.14202 | PMID 32320494 Get It

AbstractBackground/ObjectivesThe COVID‐19 pandemic has raised questions about the approach to management of systemic immunosuppressive therapies for dermatologic indications in children. Change to: Given the absence of data to address concerns related to SARS‐CoV‐2 infection and systemic immunosuppressive therapies in an evidence‐based manner, a Pediatric Dermatology COVID‐19 Response Task Force (PDCRTF) was assembled to offer time‐sensitive guidance for clinicians.MethodsA survey was distributed to an expert panel of 37 pediatric dermatologists on the PDCRTF to assess expert opinion and current practice related to three primary domains of systemic therapy: initiation, continuation, and laboratory monitoring.ResultsNearly all respondents (97%) reported that the COVID‐19 pandemic had impacted their decision to initiate immunosuppressive medications. The majority of pediatric dermatologists (87%) reported that they were pausing or reducing the frequency of laboratory monitoring for certain immunosuppressive medications. In asymptomatic patients, continuing therapy was the most popular choice across all medications queried. The majority agreed that patients on immunosuppressive medications who have a household exposure to COVID‐19 or test positive for new infection should temporarily discontinue systemic and biologic medications, with the exception of systemic steroids, which may require tapering.ConclusionsThe ultimate decision regarding initiation, continuation, and laboratory monitoring of immunosuppressive therapy during the pandemic requires careful deliberation, consideration of the little evidence available, and discussion with families. Consideration of an individual's adherence to COVID‐19 preventive measures, risk of exposure, and the potential severity if infected must be weighed against the dermatological disease, medication, and risks to the patient of tapering or discontinuing therapies.
Preliminary Results from the Surveillance, Epidemiology & Risk Factors for TTP (SERF-TTP) Group: A Prospective Case-Control Study of Idiopathic TTP.
Zakarija, Anaadriana, Kwaan, Hau C. , Bandarenko, Nicholas, Tevar, A., Buffie, Charles, Kiss, Joseph E. , Bennett, Charles L. , Pandey, Dilip K. , Cursio, John , Ortel, Thomas L. , Winters, Jeffrey L. , Sarode, Ravi

Blood | April 19, 2020 | Volume: 108 | Issue: 11 | Pages: 1063-1063

10.1182/blood.v108.11.1063.1063 Get It

Abstract SERF-TTP is the first prospective case-control study to investigate epidemiology, risk factors & outcomes in patients with first episode of idiopathic TTP. METHODS: Each case of TTP is identified upon referral for therapeutic plasma exchange (TPE). Exclusion criteria include organ or allogeneic stem cell transplant, anti-neoplastic therapy or malignancy. 2 age & gender-matched controls are identified for each case. Epidemiologic information, lab data & plasma samples are collected from each case. Case & control data are collected by standardized interview. Relative risk & 95% CI computed by chi-squared tests. ADAMTS13 activity & inhibitor are centrally measured on pre-TPE samples. ADAMTS13 activity is measured by FRETS-vWF73 assay (Peptides Int.). ADAMTS13 inhibitor is assessed by Technozym ADAMTS13 INH ELISA (Technoclone). RESULTS: Data is available for 67 cases & 138 controls. The median age of cases is 40, & 82% are female. Medical history & exposures are shown in Table 1. Clinical & lab characteristics vary by ADAMTS13 activity (Table 2). Low titer ADAMTS13 inhibitors are detectable in some patients with normal ADAMTS13 activity. 30 day survival of cases is 95.7%. Adverse reactions to TPE occur in 59% of patients, most commonly allergic(85%) or citrate-related reactions(65%). 14.7% had a venous access complication, 50% were catheter-related thromboses. 10% of all adverse events required an ICU admission. CONCLUSIONS: Preliminary results from the case-control study suggest that predisposing factors for the development of TTP include recent infection or connective tissue disorder. Cardiovascular disease, prior history of venous thrombosis, clopidogrel use and lower income are more common in TTP cases than controls. Patients with normal ADAMTS13 activity are more likely to present with higher platelet count, abnormal renal function and neurologic symptoms. Case & Control Characteristics Cases (n=67) Controls (n=138) Relative Risk (95% CI) Medical History Connective Tissue Disease 11.9% 2.2% 5.4 (1.5–20.0) Cardiovascular Disease 13.4% 3.6% 3.7 (1.29–10.6) Prior Venous Thrombosis 13.4% 2.9% 4.6 (1.48–14.5) Infection (prior 2 wks) 32.8% 10.1% 3.2 (1.77–5.9) Medications (prior 12 wks) Antibiotics 31.3% 17.4% 1.8 (1.08–2.99) Clopidogrel 4.5% 0.7% 6.4 (0.65–62.9) Income Level &lt; $25,000 42% 18% 2.3 (1.47–3.6) $25,000 – 70,000 37.3% 52.9% 0.7 (0.49–0.99) &gt; $70,000 11.9% 24.6% 0.5 (0.24–0.98) Characteristics by ADAMTS13 activity ADAMTS13 activity N ADAMTS13 inhibitor (&gt;15 u/ml) ADAMTS13 inhibitor titer (mean) Platelets (mean) Creatinine (mean) Neurologic symptoms Survival Comparison of ADAMTS13 ≤20% vs &gt; 20%, p-values: * 0.0028, † 0.003, ‡ 0.73, # 0.48. &lt; 5% 18 (37.5%) 100% 80.9 22,350 1.4 44% 94% 5–20% 4 (8.3%) 100% 76.4 20,000 1.1 75% 100% &gt; 20% 26 (54.2%) 57.7% 22.5 58,810* 4.3† 58%‡ 89.5%#
Distinct Mechanisms of Idiopathic and Thienopyridine-Assocaited Thrombotic Thrombocytopenia Purpura: Final Results from the Surveillance, Epidemiology, and Risk Factors for Thrombotic Thrombocytopenic Purpura (SERF-TTP) Study.
Bennett, Charles L. , Zakarija, Anaadriana, Kwaan, Hau C. , Soltysik, Robert C. , Luu, Thanh Ha, Richey, Elizabeth, Weiss, Ivy, McKoy, June M. , Raisch, Dennis W., Raife, Thomas J. , Carey, Patricia M., Kiss, Joseph E. , Danielson, Constance, McLeod, Bruce C., Winters, Jeffery, Clark, William F. , Bandarenko, Nicholas, Rock, Gail, Pandey, Dilip K. , Yarnold, Paul R , Cursio, John , Sarode, Ravi , Ortel, Thomas L. , Rock, Gail

Blood | April 18, 2020 | Volume: 112 | Issue: 11 | Pages: 2293-2293

10.1182/blood.v112.11.2293.2293 Get It

Abstract Background : Many idiopathic thrombotic thrombocytopenia purpura (TTP) patients have severe deficiency of ADAMTS13, an enzyme that cleaves ultralarge von Willebrand multimers. We recently reported that thienopyridine-associated TTP is characterized by an immunologic pathway with severe ADAMTS13 deficiency and a non-immunologic pathway with higher ADAMTS13 activity levels. We now compare findings for idiopathic and thienopyridine-associated TTP patients. Methods : Clinical findings and laboratory findings were evaluated for 51 idiopathic and 39 thienopyridine-associated TTP. Results: Clinical findings were similar between idiopathic and thienopyridine-associated TTP for both severe ADAMTS13 deficient and non-deficient patients. Differences were noted in gender and age, relapse rates, and survival. Conclusion : Among TTP patients with ADAMTS13 deficiency, relapses are frequent in idiopathic TTP patients and Rituximab may be useful, while for thienopyridine-associated TTP patients spontaneous relapse are rare as long as no re-exposure occurs. Among ADAMTS13 non-deficient patients, survival is high following therapeutic plasma exchange (TPE) for idiopathic patients but not for thienopyridine-associated TTP patients. Despite similarities, idiopathic and thienopyridine associated TTP probably have different initiating factors. ADAMTS13 activity and clinical characteristics in idiopathic and thienopyridine-associated TTP Idiopathic severe ADAMTS13 deficiency (n=29) †Thienopyridine severe ADAMTS13 deficiency (n=26) Idiopathic non-severe ADAMTS13 deficiency (n=22) †Thienopyridine non-severe ADAMTS13 deficiency (n=13) *p&lt;0.05 for comparison of severe ADAMTS13 deficiency versus non-severe ADAMTS13 deficiency. †Thienopyridine-associated TTP clinical and presenting neutralizing autoantibody data was summarized from the Journal of the American College of Cardiology publication by Bennett et al. in 2007. ‡Thienopyridine-associated TTP remission autoantibody data was summarized Tsai et al, 2002, Bennett et al, 2000, and Orimo et al, 2002, and included 3 patients. §Data from average of ADAMTS13 deficient and non-deficient cohorts. Mean Age 41 67 47 60 Sex (% female) 79% 54% 86% 39% Platelet count/mm3 (mean)* 18,978 9,269 51,409 35,000 Platelet count &lt;20,000/mm3* 69% 96% 23% 38% Hemoglobin (mg/dl; mean) 8.5 8.3 9.0 8.4 Creatinine (mg/dl; mean)* 1.5 2.2 3.2 3.0 Creatinine &gt;2.5 mg/dl* 11% 27% 48% 46% 30-day survival 96% 85% 90% 62% Long-term relapse* 42% 8% 0% 0% Neutralizing autoantibodies to ADAMTS13 (prior to TPE) § 79% 100% 27% 0% Neutralizing autoantibodies to ADAMTS 13 (measured at remission) § 55% 33%‡ 33% 0%
Clinical and Outcomes Findings for Thrombotic Thrombocytopenic Purpura among 467 Persons with Severely Versus Not Severely Deficient ADAMTS-13 Levels.
Bennett, Charles L. , Luu, Thanh Ha, Zakarija, Anaadriana, Kwaan, Hau C. , Bandarenko, Nicholas, McKoy, June M. , Buffie, Charlie G., Raife, Thomas J. , Fujimura, Yoshihiro , Rock, Gail A., Pandey, Dilip K. , Cursio, John , Winters, Jeffrey L. , Ortel, Thomas L. , Sarode, Ravi , Zheng, X. Long , Matsumoto, Masanori , Rock, Gail A.

Blood | April 18, 2020 | Volume: 110 | Issue: 11 | Pages: 2088-2088

10.1182/blood.v110.11.2088.2088 Get It

Abstract Background: Thrombotic thrombocytopenic purpura (TTP) is a rare disorder that presents with microangiopathic hemolytic anemia and thrombocytopenia, fevers, renal insufficiency and neurologic features. We reviewed clinical, laboratory, and outcome data for TTP cases with severely deficient versus non-severely deficient ADAMTS13 activity levels. Methods: Mean and median data were from the Surveillance, Epidemiology and Risk Factors for TTP (SERF-TTP) study group for idiopathic TTP cases, the Canadian Apheresis Group (CAG), and five published series (Zheng 2004, Raife 2004, Vesely 2003 (Oklahoma TTP-HUS Registry), Matsumoto 2004 (Japan Referral Center), Bennett 2007). Results: Compared to TTP cases with near-normal ADAMTS13 activity levels (n= 282), TTP cases with severe ADAMTS13-deficiency (n=185) were more likely to have severe thrombocytopenia, normal renal function and neutralizing ADAMTS13 antibodies. Severe ADAMTS13 deficient TTP cases have better overall survival after therapeutic plasma exchange (TPE) but are more likely to relapse. TTP patients with severe ADAMTS13 deficiency were primarily categorized as idiopathic or ticlopidine-associated, while TTP patients with non-severely deficient ADAMTS13 activity levels were frequently categorized as idiopathic, secondary to drugs (clopidogrel, quinine), stem cell transplantation, or cancer. Conclusions: Severe ADAMTS13 deficiency is most commonly idiopathic, has better survival following TPE, and a 35–40% spontaneous relapse rate. By contrast, non-ADAMTS13 deficient TTP cases are usually associated with an underlying disorder or external insults. Amongst this cohort, four series have 47–62% survival rates and three series, which contain mostly idiopathic cases, have 83–90% survival rates following TPE. From this, we propose that TTP may occur by three possible mechanism; ADAMTS13-deficient (antibody-mediated), an immunologic mediated pathway independent of ADAMTS13 (i.e. quinine) that is responsive to TPE, and endothelial injury related TTP that is unresponsive to TPE. Platelet count mean (x10^9/L) Creatinine mean (mg/dl) ADAMTS13 neutralizing antibodies (%) Survival % Relapse % * &lt;15% ADAMTS13 activity cutoff Severe ADAMTS13 Deficiency (&lt;10–15%) SERF-TTP (n=30) 19 1.3 83 97 41 Zheng (n=16) 19 1.6 44 81 38 Bennett (n=26) 15 85 Oklahoma (n=18) 12 1.8 94 81 38 Raife (n=50) * 13 1.2 92 35 Japan (n=34) 35 91 Canada (n=11) 16 2.4 82 Not Severely Deficient ADAMTS13 Activity (&gt; 15%) SERF-TTP (n=22) 57 3.9 35 90 0 Raife (n=57) * 44 2.7 83 9 Canada (n=17) 57 4.1 88 Zheng (n=13) 40 3.0 0 54 Bennett (n=13) 62 Japan (n=66) 9 62 Oklahoma (n=94 ) 23 47 3
Ticlopidine- and Clopidogrel-Associated Thrombotic Thrombocytopenic Purpura (TTP): Final Results from the Surveillance Epidemiology and Risk Factor-TTP Study Group.
Richey, Elizabeth, Bennett, Charles L. , Kwaan, Hau C. , Zakarija, Anaadriana, Banderanko, Nicholas, McKoy, June M. , Raisch, Dennis W., Raife, Thomas J. , Fisher, Matthew J., Tallman, Martin S. , Fujimura, Yoshihiro , Moake, Joel L., Pandey, Dilip K. , Yarnold, Paul R , Winters, Jeffrey L. , Cursio, John , Fisher, Matthew J., Ortel, Thomas L. , Matsumoto, Masanori

Blood | April 18, 2020 | Volume: 110 | Issue: 11 | Pages: 2089-2089

10.1182/blood.v110.11.2089.2089 Get It

Abstract Thrombotic thrombocytopenic purpura (TTP) is a microvascular occlusive disorder characterized by systemic aggregation of platelets, thrombocytopenia, and mechanical injury to erythrocytes. Between 30% and 80% of TTP cases are associated with ADAMTS13 deficiency. Thienopyridine-derivative anti-platelet agents, ticlopidine and clopidogrel, are the drugs most commonly associated with TTP. The structures differ only by a carboxymethyl side-chain and have no common metabolites. Since 2002, our R01 research project has focused on evaluating thienopyridine-associated TTP. Herein, we present the final results. Clinical and laboratory data were obtained from case reports, the FDA’s MedWatch program, a Japanese national reference laboratory for ADAMTS13 assays, and apheresis centers at Duke University, University of North Carolina, Northwestern University, and the Mayo Clinic. Epidemiologic data for rate estimation for thienopyridine-associated TTP among persons who receive cardiac stents were obtained from international cardiology laboratories. Pharmacovigilance information was obtained from package inserts for the drugs. Most thienopyridine-associated TTP cases are associated with two weeks or more of ticlopidine rather than clopidogrel, are immune-mediated involving neutralizing antibodies to ADAMTS13, resolve with therapeutic plasma exchange (TPE), and have spontaneous relapses. Less frequently, cases are associated with clopidogrel, occur within days of drug initiation, may be a direct result of endothelial cell damage, are less responsive to TPE, and are less likely to recur. Thienopyridine-associated TTP patients with severe deficiency of ADAMTS13 activity have a different profile than those with normal ADAMTS13 levels. Among thienopyridine-associated TTP patients who have ADAMTS13 deficiency, TPE is usually performed for a few days and patients recover without detectable organ damage. In contrast, among thienopyridine-associated TTP patients who do not have ADAMTS13 deficiency, several weeks of TPE is required for recovery, and 30% mortality rates have been reported. Despite similar chemical structures, ticlopidine- and clopidogrel-associated TTP probably occur by different mechanisms and have different clinical presentations and expected outcomes. Clinical Characteristics Onset Platelet Count &lt;20,000 (%) Creatinine ≤2 mg/dl (%) Neurologic Symptoms (%) Mortality With TPE/Without TPE (%) Relapse *p &lt; 0.05 ticlopidine 10%* &lt;2 weeks; 90% 2-12 weeks 84* 28* 28 15/44 Occasional clopidogrel 74%*≤2 weeks; 26% &gt; 2 weeks 60* 55* 32 28/33 Rare Epidemiology, Pharmacovigilance & Basic Science Incidence (cases per treated patients) Safety ADAMTS13 Activity (%) ADAMTS13 Antibodies (%) ticlopidine 1:1,600 “Black Box” warning &lt;10* 90* clopidogrel 1:100,000 package insert warning 50–100* 10*
The Pitfalls of Early Publication of Data in Acute Myeloid Leukemia: A Report from the Eastern Cooperative Oncology Group (ECOG).
Rowe, Jacob M. , Yao, Xiaopan, Cassileth, Peter A., Appelbaum, Frederick R. , Wiernik, Peter H. , Schiffer, Charles A. , Litzow, Mark R. , Luger, Selina M. , Bennett, John M. , Tallman, Martin S. , Lazarus, Hillard M.

Blood | April 18, 2020 | Volume: 112 | Issue: 11 | Pages: 1952-1952

10.1182/blood.v112.11.1952.1952 Get It

Abstract Results from clinical trials may change with time. Data presented in initial abstracts or early reports are often different from what appears in subsequent publications, sometimes due to a more rigorous analysis (as in initial response rates) or to maturity of data (as in reports of survival). Survival curves usually provide projected data based on Kaplan-Meier analyses. Such data may change with time when unexpected events occur (as, for example, relapse after T-cell depleted allogeneic transplants) or more patients advance to the initially projected time point. For AML, several groups have reported that there are very few relapses beyond 3 years. At issue is the optimal time for reporting these survival data. Table 1 reports data from 6 consecutive clinical trials addressing induction and post-remission questions in AML patients performed by ECOG. These data compare the 3-year overall survival (OS) and disease-free survival (DFS) for the identical cohorts of patients as presented at 1 year and at 3 years after completion of the study accrual. PC 486 was a phase II study of induction therapy followed by allogeneic or autologous transplant without prior consolidation. E 3489 was a US intergroup study in which patients received post-induction therapy using an allogeneic transplant (allo), an autologous transplant (auto) or chemotherapy (chemo). E1490 was a study in older adults of induction and consolidation with GM-CSF or placebo. E2491 was an intergroup study comparing ATRA induction versus standard chemotherapy in patients with APL. After consolidation, patients were randomized to maintenance with ATRA versus observation (obs). E3993 was a study in older adults comparing priming with GMCSF or placebo. E4995 was a phase II study of intensified induction and consolidation followed by an autologous transplant. For the same cohorts of patients the 3-year OS tends to decrease as the time from completion of study accrual increases. When looking at the DFS, while a decrease may also occur, in several studies there was an improved DFS with time (for example, in E2491, chemo to ATRA, or in E3993 with GM-CSF priming). There were no changes in either OS or DFS beyond 3 years (data not shown). Table 1: Three-year OS and DFS Presented at Different Time Points OS (%) DFS (%) Study One year Three years One year Three years PC 486 auto or allo HSCT 42 → 38 45 → 39 E 3489 allo HSCT 50 → 50 48 → 47 auto HSCT 47 → 46 39 → 39 chemo 56 → 51 36 → 36 E 1490 Induction / consolidation GM-CSF 23 → 22 23 → 24 placebo 15 → 12 16 → 15 E2491 APL induction+ maintenance ATRA + ATRA 87 → 84 72 → 73 ATRA + obs 83 → 80 61 → 60 chemo + ATRA 81 → 75 43 → 58 chemo + obs 54 → 45 16 → 18 E 3993 Induction/consolidation GM-CSF priming 13 → 11 5 → 10 placebo 14 → 14 9 → 9 E 4995 Induction / consolidation / auto HSCT 54 → 48 63 → 53 In conclusion: For large cooperative group studies, treatment results in AML presented one year from conclusion of study accrual are unlikely to dramatically alter the overall results. Nonetheless, some differences may occur, both in OS and DFS, warranting caution in interpreting the data and comparing with other published reports. Such differences are likely to be even greater if data are presented upon completion of study accrual, prior to one year - although, in a cooperative group setting, this should be balanced against the need to release data for future planning. Publication of interim data, before conclusion of the study accrual, may be misleading and are to be strongly discouraged. Three years appear to be the appropriate time for the publication of definitive survival data.
Genetically Elevated LDL Associates with Lower Risk of Intracerebral Hemorrhage
Falcone, Guido J. , Kirsch, Elayna , Noche, Rommell B. , Leasure, Audrey C. , Marini, Sandro , Chung, Jaeyoon , Meschia, James F. , Brown, Devin L. , Worrall, Bradford B. , Tirschwell, David , Jagiełła, Jeremiasz , Schmidt, Helena , Jiménez-Conde, Jordi , Lindgren, Arne, Słowik, Agnieszka , Gill, Dipender , Petersen, Nils , Matouk, Charles N., Bennett, Derrick , Sun, Luan L., Clarke, Robert , Biffi, Alessandro , Kathiresan, Sekar , Langefeld, Carl D. , Woo, Daniel , Anderson, Christopher D. , James, Michael L. , Leasure, Audrey , Meschia, James F , Biffi, Alessandro , Acosta, Julián , Selim, Magdy H. , Fernández‐Cadenas, Israel , Lindgren, Arne, Holmes, Michael Vaclav , Phuah, Chia‐Ling , Matouk, Charles , Günel, Murat , Sansing, Lauren H , Chen, Zhengming , Walters, Robin G. , Gill, Thomas M. , Rosand, Jonathan M. , Sheth, Kevin N.

Annals of Neurology | April 11, 2020 | Volume: 88 | Issue: 1 | Pages: 56-66

10.1002/ana.25740 | PMID 32277781 Get It

ObjectiveObservational studies point to an inverse correlation between low‐density lipoprotein (LDL) cholesterol levels and risk of intracerebral hemorrhage (ICH), but it remains unclear whether this association is causal. We tested the hypothesis that genetically elevated LDL is associated with reduced risk of ICH.MethodsWe constructed one polygenic risk score (PRS) per lipid trait (total cholesterol, LDL, high‐density lipoprotein [HDL], and triglycerides) using independent genomewide significant single nucleotide polymorphisms (SNPs) for each trait. We used data from 316,428 individuals enrolled in the UK Biobank to estimate the effect of each PRS on its corresponding trait, and data from 1,286 ICH cases and 1,261 matched controls to estimate the effect of each PRS on ICH risk. We used these estimates to conduct Mendelian Randomization (MR) analyses.ResultsWe identified 410, 339, 393, and 317 lipid‐related SNPs for total cholesterol, LDL, HDL, and triglycerides, respectively. All four PRSs were strongly associated with their corresponding trait (all p < 1.00 × 10‐100). While one SD increase in the PRSs for total cholesterol (odds ratio [OR] = 0.92; 95% confidence interval [CI] = 0.85–0.99; p = 0.03) and LDL cholesterol (OR = 0.88; 95% CI = 0.81–0.95; p = 0.002) were inversely associated with ICH risk, no significant associations were found for HDL and triglycerides (both p > 0.05). MR analyses indicated that 1mmol/L (38.67mg/dL) increase of genetically instrumented total and LDL cholesterol were associated with 23% (OR = 0.77; 95% CI = 0.65–0.98; p = 0.03) and 41% lower risks of ICH (OR = 0.59; 95% CI = 0.42–0.82; p = 0.002), respectively.InterpretationGenetically elevated LDL levels were associated with lower risk of ICH, providing support for a potential causal role of LDL cholesterol in ICH. ANN NEUROL 2020 ANN NEUROL 2020;88:56–66
Combined Treatment with Lenalidomide and Epoetin Alfa Leads to Durable Responses in Patients with Epo-Refractory, Lower Risk Non-Deletion 5q [Del(5q)] MDS: Final Results of the E2905 Intergroup Phase III Study - an ECOG-ACRIN Cancer Research Group Study, G
Sun, Zhuoxin , Verma, Amit , Bennett, John M. , McGraw, Kathy, Maciejewski, Jaroslaw P. , Wassenaar, Timothy R. , Luger, Selina M. , Mattison, Ryan J. , Cheema, P. , Altman, Jessica K. , Schiffer, Charles A. , Litzow, Mark R. , Tallman, Martin S. , List, Alan F. , Komrokji, Rami S. , Claxton, David F. , Artz, Andrew

Blood | February 14, 2020 | Volume: 134 | Issue: Supplement_1 | Pages: 842-842

10.1182/blood-2019-127274 Get It

Background: Only a small subset of Lower risk (LR) MDS patients benefit from treatment with rhu-Erythropoietin (Epo). We previously reported that lenalidomide (LEN) restores sensitivity to Epo in MDS progenitors by inducing the formation of lipid rafts that are enriched for signaling competent, JAK2/Epo-receptor complexes (McGraw K, et. al. PLoS One 2014; Basiorka A, et. al. Cancer Res 2016). In the MDS-002 and MDS-005 trials, treatment with LEN monotherapy gave rise to RBC transfusion-independence (TI) in 26% of azanucleoside-naïve, transfusion-dependent (TD) LR, non-del(5q) MDS patients for a median of 10.2 and 7.75 months, respectively. In a pilot study of Epo-refractory LR-MDS patients, the addition of epoetin alfa (EA) to LEN treatment yielded erythroid responses in 28% of patients who were unresponsive to LEN alone, suggesting that LEN may overcome clinical resistance to augment response to rhEpo (Komrokji R, et. al. Blood 2012). To test this hypothesis, we performed a randomized phase III trial comparing treatment with LEN to LEN+EA in LR non-del(5q) MDS patients who were refractory to, or not candidates for treatment with rhEpo. Methods: Patients with Low or Intermediate-1 IPSS risk MDS with hemoglobin &lt;9.5 g/dL who were unresponsive to rhEpo treatment or were TD (&gt;2 units/month) with serum Epo &gt;500mU/mL were eligible. Patients were stratified by serum Epo level and prior rhEpo (EA vs. darbepoetin vs. none) then randomized to treatment with LEN 10 mg/d x21d q4wk (Arm A) or LEN + EA 60,000U SC/wk (Arm B). The primary endpoint was major erythroid response (MER) at week 16 which was defined according to transfusion status at baseline: (1) achievement of RBC-TI for ≥ 8 consecutive weeks AND a sustained ≥1 g/dL hemoglobin rise compared to mean pre-transfusion baseline value in TD patients; and (2) a &gt;2 g/dL rise in hemoglobin without transfusion for ≥ 8 consecutive weeks in non-TD patients (&lt;4U RBC/8 wks). Arm A non-responders were offered cross-over to combined therapy. Results: Among 205 patients randomized, 14 were excluded from the primary analysis due to a 4 month interruption in drug supply. Among the 195 evaluable patients, 96 were assigned to Arm A and 99 to Arm B. Baseline characteristics were well balanced between arms with 85% of patients heavily TD, receiving a median of 4 units/8 weeks. Overall, 93% of patients received prior treatment with Epo and 18% azanucleosides. In an intent to treat analysis, 28/99 patients (28.3%) in Arm B achieved MER compared to 11/96 (11.5%) in Arm A (P=0.004). Among 136 patients who completed 16 weeks of study treatment, 28/72 (38.9%) and 10/64 (15.6%) achieved MER, respectively (P=0.004). Forty-four Arm A non-responders crossed over to combination-therapy with 11 patients (25%) experiencing a MER. Multivariable logistic regression analysis identified only treatment with LEN + EA as an independent covariate for erythroid response (P=0.01). Responses were durable with MER median duration of 23.8 months in Arm B compared to 13 months in Arm A. There was no significant difference in the frequency or distribution of &gt;Grade 3, non-hematologic adverse events between treatment arms. Two patients progressed to AML while on study (Arm A), and no thromboembolic events were reported. Conclusions: LEN restores sensitivity to rhEpo in otherwise refractory, LR-non-del(5q) MDS patients to yield a significantly higher frequency of durable major erythroid responses compared to LEN alone. The addition of LEN to EA treatment is an effective strategy for the management of Epo-refractory patients with a potential duration of benefit extending to years. Disclosures List: Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Verma:Janssen: Research Funding; BMS: Research Funding; Stelexis: Equity Ownership, Honoraria; Acceleron: Honoraria; Celgene: Honoraria. Maciejewski:Novartis: Consultancy; Alexion: Consultancy. Komrokji:JAZZ: Speakers Bureau; Novartis: Speakers Bureau; JAZZ: Consultancy; Agios: Consultancy; Incyte: Consultancy; DSI: Consultancy; celgene: Consultancy; pfizer: Consultancy. Luger:Onconova: Research Funding; Pfizer: Honoraria; Seattle Genetics: Research Funding; Cyslacel: Research Funding; Biosight: Research Funding; Ariad: Research Funding; Agios: Honoraria; Genetech: Research Funding; Jazz: Honoraria; Daichi Sankyo: Honoraria; Kura: Research Funding; Celgene: Research Funding. Mattison:Pfizer: Membership on an entity's Board of Directors or advisory committees. Altman:Abbvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Theradex: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Glycomimetics: Consultancy, Honoraria, Other: Data Safety and Monitoring Committee; Agios: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; France Foundation: Speakers Bureau; Daiichi Sankyo: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; prIME Oncology: Speakers Bureau; PeerView: Speakers Bureau; Cancer Expert Now: Consultancy; Novartis: Consultancy; Biosight: Other: US Lead. Claxton:Astellas Pharma: Other: Pharma support of clinical studies; Merck Sharp & Dohme Corp.: Other: Pharma support of clinical studies; Cyclacel Pharmaceuticals, Inc.: Other: Pharma support of clinical studies; Medimmune Inc.: Other: Pharma support of clinical studies; Novartis Pharmaceuticals: Other: Pharma support of clinical studies; Celgene Corporation: Other: Pharma support of clinical studies; Incyte Corporation: Other: Cyclacel Pharmaceuticals, Inc; Daiichi Sankyo Co. and Ambit Biosciences Corp: Other: Pharma support of clinical studies. Artz:Miltenyi: Research Funding. Tallman:Daiichi-Sankyo: Consultancy, Membership on an entity's Board of Directors or advisory committees; ADC Therapeutics: Research Funding; Oncolyze: Consultancy, Membership on an entity's Board of Directors or advisory committees; Tetraphase: Consultancy, Membership on an entity's Board of Directors or advisory committees; UpToDate: Patents & Royalties; Jazz Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Cellerant: Research Funding; Rigel: Consultancy, Membership on an entity's Board of Directors or advisory committees; KAHR: Consultancy, Membership on an entity's Board of Directors or advisory committees; Biosight: Research Funding; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Nohla: Consultancy, Membership on an entity's Board of Directors or advisory committees; Orsenix: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Delta Fly Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees; BioLineRx: Consultancy, Membership on an entity's Board of Directors or advisory committees. OffLabel Disclosure: Lenalidomide used for treatment non-del 5q myelodysplastic syndromes.