2025
American Society of Hematology living guidelines on use of anticoagulation for thromboprophylaxis for patients with COVID-19: executive summary
Siegal D, Tseng E, Schünemann H, Angchaisuksiri P, Cuker A, Dane K, DeSancho M, Diuguid D, Griffin D, Klok F, Lee A, Neumann I, Pai A, Righini M, Sanfilippo K, Terrell D, Akl E, Al Jabiri R, Al Jabiri Y, Barbara A, Bognanni A, Akl I, Boulos M, Brignardello-Petersen R, Chan M, Charide R, Colunga-Lozano L, Dearness K, Darzi A, Hussein H, Karam S, Kolb P, Mansour R, Morgano G, Morsi R, Muti-Schünemann G, Nadim M, Noori A, Philip B, Piggott T, Qiu Y, Benitez Y, Schünemann F, Stevens A, Solo K, Wiercioch W, Mustafa R, Nieuwlaat R. American Society of Hematology living guidelines on use of anticoagulation for thromboprophylaxis for patients with COVID-19: executive summary. Blood Advances 2025, 9: 1247-1260. PMID: 39437797, DOI: 10.1182/bloodadvances.2024014219.Peer-Reviewed Original ResearchMeSH KeywordsAnticoagulantsCOVID-19HematologyHumansSARS-CoV-2Societies, MedicalUnited StatesVenous ThromboembolismConceptsCOVID-19-related critical illnessConditional recommendationAcute illnessHealth care professionalsAmerican Society of HematologyProphylactic-intensity anticoagulationCritical illnessEvidence-based recommendationsVenous thromboembolismRandomized controlled trialsCare professionalsPatient representativesRisk of venous thromboembolismGuideline developmentRecommendations AssessmentTherapeutic-intensity anticoagulationExecutive summaryLiving guidelinesMultidisciplinary panelIncreased risk of venous thromboembolismSystematic reviewAssessed certaintyCOVID-19-relatedControlled trialsMcMaster UniversityPost-transfusion activation of coagulation pathways during severe COVID-19 correlates with COVID-19 convalescent plasma antibody profiles
Weiss S, Lin H, Acosta E, Komarova N, Chen P, Wodarz D, Baine I, Duerr R, Wajnberg A, Gervais A, Bastard P, Casanova J, Arinsburg S, Swartz T, Aberg J, Bouvier N, Liu S, Alvarez R, Chen B. Post-transfusion activation of coagulation pathways during severe COVID-19 correlates with COVID-19 convalescent plasma antibody profiles. Journal Of Clinical Investigation 2025, 135: e181136. PMID: 40091845, PMCID: PMC11910229, DOI: 10.1172/jci181136.Peer-Reviewed Original ResearchConceptsCOVID-19 convalescent plasmaCOVID-19 convalescent plasma unitsActivation of coagulation pathwaysSevere COVID-19Post-transfusionAntibody profilesEffectiveness of COVID-19 convalescent plasmaSevere SARS-CoV-2 infectionCoagulation pathwayD-dimer levelsHospitalized COVID-19 patientsHigher-riskCCP recipientsSARS-CoV-2 infectionTreat severe COVID-19SARS-CoV-2 spikeCOVID-19 patientsAntibody therapyD-dimerD-dimer trendsConvalescent plasmaSevere diseaseBetacoronavirus OC43Higher mortalityIn vitro assaysOpportunities and Challenges in Using Electronic Health Record Systems to Study Postacute Sequelae of SARS-CoV-2 Infection: Insights From the NIH RECOVER Initiative
Mandel H, Shah S, Bailey L, Carton T, Chen Y, Esquenazi-Karonika S, Haendel M, Hornig M, Kaushal R, Oliveira C, Perlowski A, Pfaff E, Rao S, Razzaghi H, Seibert E, Thomas G, Weiner M, Thorpe L, Divers J, Cohort R. Opportunities and Challenges in Using Electronic Health Record Systems to Study Postacute Sequelae of SARS-CoV-2 Infection: Insights From the NIH RECOVER Initiative. Journal Of Medical Internet Research 2025, 27: e59217. PMID: 40053748, PMCID: PMC11923460, DOI: 10.2196/59217.Peer-Reviewed Original ResearchConceptsElectronic health recordsElectronic health record dataPostacute sequelae of SARS-CoV-2 infectionSequelae of SARS-CoV-2 infectionElectronic health record systemsHealth record systemsLong COVIDHealth recordsEHR dataEpidemiological researchRecording systemPostacute sequelaeMultifaceted conditionNational InstituteSARS-CoV-2 infectionData sourcesCOVID researchCOVIDInitiationNationalOpportunitiesDataSeverity and Long-Term Mortality of COVID-19, Influenza, and Respiratory Syncytial Virus
Bajema K, Bui D, Yan L, Li Y, Rajeevan N, Vergun R, Berry K, Huang Y, Lin H, Aslan M, Ioannou G. Severity and Long-Term Mortality of COVID-19, Influenza, and Respiratory Syncytial Virus. JAMA Internal Medicine 2025, 185: 324-334. PMID: 39869355, PMCID: PMC11773409, DOI: 10.1001/jamainternmed.2024.7452.Peer-Reviewed Original ResearchConceptsRespiratory syncytial virusLong-term mortalitySARS-CoV-2Syncytial virusCohort studyAssociated with higher long-term mortalityRisk differenceIntensive care unit admissionSeasonal influenza vaccineRetrospective cohort studyDisease severity of COVID-19Long-term deathAssociated with more severe disease outcomesRisk of deathCompare disease severitySevere disease outcomesRisk of hospitalizationSeverity of COVID-19Same-day testingInfluenza vaccineInverse probability weightingUnit admissionCumulative incidenceMortality of COVID-19Primary outcome2024 Update of the RECOVER-Adult Long COVID Research Index
Geng L, Erlandson K, Hornig M, Letts R, Selvaggi C, Ashktorab H, Atieh O, Bartram L, Brim H, Brosnahan S, Brown J, Castro M, Charney A, Chen P, Deeks S, Erdmann N, Flaherman V, Ghamloush M, Goepfert P, Goldman J, Han J, Hess R, Hirshberg E, Hoover S, Katz S, Kelly J, Klein J, Krishnan J, Lee-Iannotti J, Levitan E, Marconi V, Metz T, Modes M, Nikolich J, Novak R, Ofotokun I, Okumura M, Parthasarathy S, Patterson T, Peluso M, Poppas A, Quintero Cardona O, Scott J, Shellito J, Sherif Z, Singer N, Taylor B, Thaweethai T, Verduzco-Gutierrez M, Wisnivesky J, McComsey G, Horwitz L, Foulkes A, Cribbs S, Francis A, Hang T, Ingram K, Lainez J, Wiley Z, Lewis K, Ager A, Atha M, Fineman R, Gray N, Grimes A, Hewitt L, Huerta C, Johnson B, Khalil L, Kleinhenz D, Koumanelis A, Lee M, Litvack M, Panganiban B, Rahman K, Smith V, Stringer A, Tolbert M, Traenkner J, Unterberger K, Wimberly E, Han J, Marconi V, Ofotokun I, Patzer R, Walker T, Abraham R, Aguilar F, Ahmadi-Izad G, Ahmed D, Alvarez A, Anderson B, Asencios W, Beaty C, Bedi B, Berry J, Boone D, Bower M, Bremner J, Brent C, Brown-Smith K, Bull R, Capo G, Carl-Igwe K, Chitadze C, Chukwumerije N, Clyburn E, Collins S, Costello J, Couture G, Craft A, Cui X, del Rio C, Detelich J, Dixon C, Dow J, Doyle D, Elchommali J, Elsey I, Franks N, Gallini J, Gutter E, Harding J, Hernandez L, Holloway C, Ifejika C, Jasarevic R, Javia V, Jeter M, Joseph Y, Juarez M, Kirkpatrick C, Koumanelis A, Kozoman R, Krishnan S, Leon J, Lew V, Maier C, Makkaoui N, Maroney M, Martin C, Mbogo L, McCaslin A, McIntyre J, Moanna A, Montoya M, Morales E, Moran C, Murray C, Nelson R, Nguyen T, Ojoawo B, Osinski E, Oviedo S, Paredes-Gaitan Y, Prude M, Ramakrishnan G, Rebolledo P, Roberts M, Robinson K, Rogers C, Rouphael N, Searles C, Segall M, Shah A, Silva R, Simpson C, Simpson-Derrell K, Sirajud-Deen T, Stroud J, Suthar M, Sylber C, Sylvera A, Teunis L, Thomas K, Titanji K, Toy C, Truong A, Vaccarino V, Varney K, Vyas K, Vyas K, Walkow M, Wesley T, Winston J, Winter T, Wongtrakool C, Gander J, Neuman R, Bush P, Hudgins A, Kolailat I, Martinez M, Thompson S, Pemu P, Dandy A, Ibeawuchi C, Lawrence B, Morgan-Billingslea J, Ojemakinde E, Mullington J, Collier A, Fong T, Haack M, Hauser K, Maley J, Quintana Y, Shaughnessy L, Stephenson K, Thomas R, Torres R, Marathe J, Duffy E, Hamburg N, Kobayashi M, O'Connor G, Shepherd F, Williams C, Zhang H, Levy B, Aikawa M, Baden L, Baslet G, Bennett L, Bhattacharyya S, Buring J, Cagnina R, Chen L, Clark C, Cohen P, Czeisler C, Estill P, Gay E, Hong J, Lamas D, Levy-Carrick N, Manson J, Monafrared T, Redline S, Remis E, Schilkrut D, Sesso H, Solomon S, Sparks J, Spencer L, Systrom D, Thu P, Walt D, Washko G, Whittelsey M, Wiener R, John J, Ticotsky A, Bassett I, Alba G, Aung T, Ginns L, Haas J, Hu Y, Juelg B, Kanjilal D, Kim A, Klerman E, Lewis G, Ojikutu B, Perlis R, Rosand J, Wallace Z, Xerras D, Zionts D, Ward H, Blazey-Martin D, Ghamloush M, Jordan M, Kogelman L, Carton T, Miele L, Brown T, Sutherland E, Fuloria J, Datri P, Hagensee M, Leggio C, Perkins A, Trauth A, Trotter S, Van Deerlin A, Weiser S, Young M, Erdmann N, Levitan E, Tita A, Armstrong D, Binkley S, Blackwell K, Causey A, Cook F, Domingo J, Donahue C, Eady M, Edberg J, Garcia-McClaney N, Garner M, Gray B, Hall W, Hart C, Hebson C, Hidalgo B, Holtzapfel K, Jinright A, Judd S, Kennedy T, Kirkwood L, Maier M, McCormack P, Mitchell K, Montgomery A, Peralta-Carcelen M, Pilco J, Powell L, Shevin R, Skipworth S, Spurgeon L, Ware G, Wilson R, Woodruff D, Young B, Gillespie M, Daniel C, Hansel J, Wu J, Ashktorab H, Brim H, Laiyemo A, Sherif Z, Durrani S, Nezamloo A, Ngwa J, Njoku N, Gentil M, Mehari A, Solemani A, Chang L, Thuluvath P, Alemu M, Anderson J, Chauhan M, Cho S, Goodman K, Lanke G, Lebron R, Maheshwari A, Ok J, To C, Shellito J, Greenway F, Kirwan J, Rosen C, Arruda A, Emery I, Roelke T, Berger P, Hoover S, Black L, Tjarks B, Fonseca V, Gupta S, Longo M, Yang M, Shikuma C, Chow D, MarGangcuangco L, Castro M, Bengtson C, Howard T, Koontz B, Spikes L, Simmons C, Whiteheart S, Garvy B, Wood J, Marshall G, Garla V, Kuebler J, Nandi U, Vasey A, Warren D, Dickinson J, VanWagoner T, Bogie A, James J, Scott J, Sukhera F, Luciano Roman C, Perez Frontera S, Santana Bagur J, Hodder S, Bardes J, Dominique-Villanueva D, Juskowich J, Reece R, Sarwari A, Certa M, Chessier E, Everett E, Kindred E, Harris P, Sudhindra P, Olds L, Aponte-Soto L, Del Rios M, Diaz M, Ibanez A, Rolon C, Cranford S, Brown D, Dixon J, Gale L, Hammerl S, Hartwig K, Madineni A, Swearingen P, Hendrickson M, Noland S, Terlinde T, Hobbs B, Klein J, Krishnan J, Lin J, Muramatsu N, Prabhakar B, Prendergast H, Vanden Hoek T, Adams D, Baker A, Barbera S, Basu S, Bleasdale S, Boyd A, Breiter T, Buhimschi I, Carrithers M, Chalamalla R, Chestek D, Cook J, Darbar D, Dasgupta R, Davis Blakley F, DeLisa J, Diviak K, Donlon M, Dworkin M, Ellison A, Flanigan C, Freedman M, Gerald L, Giles W, Gordon H, Hammad B, Hasek S, Hasse W, Hryniewicka M, Illendula S, Ismail N, Jain A, Jennette K, Kadubek G, Kent D, Kent D, Kim K, Kotini-Shah P, Large L, Lash J, Lu J, Mahamed A, Malchenko S, Martinez M, Mauntel-Medici C, McCauley M, Menchaca M, Mermelstein R, Moreno D, Morrissy L, Musick H, Norwick L, Novak R, Ortiz M, Patel K, Perez N, Pliskin N, Pope S, Prasad B, Predki B, Quigley J, Ramchandran R, Ramirez A, Rappe S, Rehman J, Rowley M, Rudraraju G, Rutherfoord M, Sculley J, Smith-Mack J, Sun J, Tartt N, Villanueva L, Warfield Kelly S, Yazici C, Stewart de Ramirez S, Bolliger D, Boyineni J, Chebrolu P, Curry H, Donohue S, Edmonds S, Kelly S, Maholovich P, Sader S, Thompson T, Welter H, Woolley B, Hafner J, Hanson K, Hutton R, Charney A, Kovatch P, Merad M, Nadkarni G, Wisnivesky J, Aberg J, Ascolillo S, Bagiella E, Bartram L, Becker J, Beckmann N, Bendl A, Chen B, Civil A, Crawford G, Dhar K, Evo-Ortega L, Fierer D, Gallagher E, Garcia-Sastre A, Gnjatic S, Gray I, Guliyeva S, Harvey-Ingram L, Herrera-Moreno J, Hill M, Horowitz C, Jackson R, Kastrat D, Lala-Trindade A, Lin J, Macaluso N, Marcon K, Meyer D, Morinigo J, Natelson B, Nussenzweig M, Padua T, Putrino D, Richardson L, Russo S, Seifert A, Serri A, Walker J, Yee M, Bateman L, Vernon S, Deakyne Davies S, Gardner E, Bryan T, Buck K, Hawkins K, Oakes J, Horne B, Knowlton K, Woller S, Aguirre B, Anderson J, Bair T, Bosh L, Evans L, Garrett C, Harris D, Herrera K, Iverson L, Jensen M, Juan J, Knight S, Leither L, Maestas H, May H, Najarian G, Webb T, Zubal S, Erlandson K, Sokol R, Brightman M, Davis D, Feuerriegel E, Fudge H, Garg L, Graham P, Higgins J, Johnson B, Jolley S, Lockie T, McCandless S, Molden J, Owen M, Pitch C, Reid K, Reusch J, Thurman B, Tran H, West S, Wodushek T, Friedman N, Ludwig K, Decker L, Raissy H, Adolphi N, Archuleta D, Bradfute S, Brito R, Elifritz J, Garcia-Soberanez N, Gentry F, Harkins M, Martinez N, Montoya L, Parada A, Quinn D, Ramos A, Sheehan E, Treacher I, Hess R, Truong D, Alekhina N, Barlocker J, Brown J, Cortez M, Donohue D, Facelli J, Ford I, Gouripeddi R, Hermansen J, Johnny J, Lindsay A, Ling L, Lloyd J, Lu Y, Medina J, Morimoto S, Pace L, Powell J, Scholand M, Shah K, Sharareh N, Spivak A, Stringham C, Trinity J, Velinder M, Weaver L, Kaelber D, McComsey G, Adams C, Atieh O, Baissary J, Baloi A, Barnboym E, Boldt N, Conrad A, Consolo M, Curtis L, D’anza B, DiFrancesco K, Eteshola E, Gallagher M, Harris P, Hernandez C, Hershey M, Iqbal S, Jacob J, Kennedy O, Labbato D, Levert A, Levin J, Lim J, Malakooti S, Mouchati C, Pearman A, Pettinato K, Rivera A, Rodgers M, Rodgers T, Roy A, Scott S, Sheth N, Smith B, Tejani V, Tribout M, Yendewa G, Zhang D, Zisis S, Singer N, Ayache M, Chesnick H, Edminston M, Greenwood C, Haghiac M, Kaufman E, Lengu K, Lowenthal R, Oleson C, Smith C, Weinberger E, Chen P, Caudill A, Chopra T, Contreras F, Dahlke L, Gudipudi L, Jackman S, Modes M, Muttera N, Parimon T, Salinas N, Tadeo J, Torbati S, Heath J, Brennan C, Edmark R, Gutierrez V, Hadlock J, Li S, Magis A, McDonald C, Murray K, Rowen L, Yuan D, Tuttle K, Alicic R, Baxter J, Emerson S, Hood S, Kuykendall K, White S, Wilcox L, Goldman J, Algren H, Del Alcazar J, Duven A, Kaneko J, Kim C, Manner P, Mason C, Poussier R, Satira R, Wallick J, Chu H, Harteloo A, Kemp M, Logue J, McCaffrey K, McDonald D, Nackviseth C, Nguyen H, Watanabe K, Hasbani K, Nambiar A, Patterson T, Potter J, Salehi M, Sharma K, Verduzco-Gutierrez M, Anderson R, Arellanes A, Barajas R, Chauhan S, Clarke G, Farner C, Fischer M, Goldberg M, Hastings G, Heard P, Hernandez J, Herrera I, Infante E, Johnson H, Jones J, Kellogg D, Kraig E, Longoria L, Okafor E, Patterson J, Pinones A, Reeves W, Scholler I, Seshadri S, Shah P, Shah D, Soileau B, Solis P, Stoebner C, Sullivan M, Taylor B, Tragus R, Tsevat J, Saade G, Sharma K, Paredes C, Alvarado S, Blish C, Go M, Jagannathan P, Maldonado Y, Singh U, Utz P, Ahuja N, Blomkalns A, Bonilla H, Brotherton R, Clinton K, Dingankar V, Geng L, Haddad F, Jamero C, Jee K, Jia X, Khurana N, Kumar A, Miglis M, O'Conor E, Olszewski K, Pathak D, Quintero O, Saperia C, Scott J, Urdaneta A, Varkey M, Reiman E, Bime C, Hansen L, Hughes T, Lieberman D, Soto F, Wilson C, Lee-Iannotti J, Autry L, Borwege S, Copeland J, DiLise-Russo M, Fadden S, Gomez I, Grischo G, Hartley W, Hillier L, Ismail H, Iusim S, James M, Kala M, Kim D, Murthy G, Unzek S, Vadovicky S, Veres S, Nikolich J, Parthasarathy S, Ernst K, Esquivel D, Harris D, Harris S, Hernandez M, Hsu H, Karnafel M, Knox K, Koleski A, LaFleur B, Lambert B, LaRue S, Lutrick K, Merchant N, Morton C, Mosier J, Olorunnisola T, Peralta J, Pilling W, Pogreba-Brown K, Rischard F, Ryan L, Smith T, Snyder M, Subbian V, Suhr K, Velarde D, Deeks S, Kelly J, Martin J, Peluso M, Anderson G, Anglin K, Argueta U, Asare K, Buitrago M, Chang Song C, Clark A, Conway E, Del Castillo N, Deswal M, Durstenfeld M, Eilkhani E, Eun A, Fehrman E, Figueroa T, Flores D, Grebe H, Henrich T, Hoh R, Hsue P, Huang B, Ibrahim R, Kerbleski M, Kirtikar R, Lew M, Lombardo J, Lopez M, Luna M, Marquez C, Munter S, Ngo L, Pineda-Ramirez J, Rhoads K, Rodriguez A, Romero J, Ryder D, So M, Somsouk M, Tai V, Tran B, Uy J, Valdivieso D, Verma D, Williams M, Zamora A, Newman L, Abella J, Barnette Q, Bevc C, Beverly J, Ceger P, Croxford J, Enger M, Fain K, Farris T, Hanlon S, Hines D, Johnson-Lawrence V, Jordan K, Lefebvre C, Linas B, Luukinen B, Mandal M, McKoy N, Nance S, Pasquarelli D, Quiner C, Sembajwe R, Shaw G, Thornburg V, Tosco K, Wright H, Gross R, Hochman J, Horwitz L, Katz S, Troxel A, Adler L, Akinbo P, Almenana R, Aschalew M, Balick L, Bello O, Bhuiyan S, Blachman N, Branski R, Briscoe J, Brosnahan S, Bueler E, Burgos Y, Caplin N, Chaplin D, Chen Y, Cheng S, Choe P, Choi J, Chung A, Church R, Cobos S, Croft N, Cruz Irving A, Del Boccio P, Díaz I, Divers J, Doshi V, Dreyer B, Ebel S, Esquenazi-Karonika S, Faustin A, Febres E, Fine J, Fink S, Freeland C, Frontera J, Gallagher R, Gonzalez-Duarte A, Hasson D, Hill S, Hossain J, Islam S, Johnson S, Kansal N, Kenney R, Kershner T, Kewlani D, Kwak J, Lamendola-Essel M, Laury S, Laynor G, Lei L, Leon T, Lewczak Z, Linton J, Logan M, Malik N, Mamistvalova L, Mandel H, Maranga G, Mathews P, Mattoo A, Mei T, Mendelsohn A, Mercier E, Millar Vernetti P, Miller M, Mitchell M, Moreira A, Mudumbi P, Nahin E, Nair N, Nekulak J, Owens K, Parent B, Patibandla N, Petrov P, Postelnicu R, Pratt F, Randall I, Rao P, Rapkiewicz A, Rizzo J, Rosas J, Rose C, Saint-Jean C, Santacatterina M, Shah B, Shaukat A, Simon N, Simsir A, Stinson M, Tang W, Tatapudi V, Thawani S, Thomas M, Thorpe L, Tom M, Treiha E, Truong J, Udosen M, Valencia C, Velazquez-Perez J, Vernetti P, Vidal C, Viswanathan A, Willerford A, Williams N, Wong C, Wood M, Wuller S, Yin S, Young C, Zaretsky J, Zavlunova S, Foulkes A, Karlson E, Murphy S, Ahirwar S, Ahmed S, Ainsworth L, Atchley-Challenner R, Avilach P, Balan T, Benik N, Benoit B, Bind M, Bonaventura W, Boutin N, Brion B, Cagan A, Cai T, Cao T, Castro V, Cerretani X, Chan J, Cheng D, Chibnik L, Ciriello M, Costenbader K, Dimitrov D, Estiri H, Fayad M, Feldman C, Gainer V, Ghosh B, Gollub R, Guan Z, Harris A, Helmer K, Hendrix A, Holzbach A, Huang W, Kaufman D, Keogh D, Kerr J, Klann J, Krishnamoorthy A, Lasky-Su J, Liao K, MacFadden D, Maram A, Martel M, Mendis M, Metta R, Monteiro J, Morales E, Morse R, Nazaire M, Neils G, Nguyen A, Norman J, Paik H, Pant D, Park H, Rabideau D, Reeder H, Rossi-Roh K, Santacroce L, Schlepphorst K, Schulte C, Selvaggi C, Shinnick D, Simons W, Simpson L, St. Jean Flanders M, Strasser Z, Thakrar M, Thaweethai T, Thorn M, Trewett P, Van Fleet D, Wagholikar K, Wang T, Wattanasin N, Weber G, Williams M, Zhang R, Cicek M, Flotte T, Boysen E, Chang N, Ellingworth E, Frisch E, Welch G, Yusuf A, Zahnle N, Cerda M, Clash V, Taylor B, Zissis M, Akintonwa T, Blancero F, Brown H, Carmilani M, Copeland D, Hall Y, kondo K, Lerma L, Lindsay J, Marti H, Maughan C, Minor T, Vincent H, Aragon L, Bander B, Bishof K, Carignan E, Castro Baucom L, Clash V, Coombs K, Corchado C, Davis H, Diggs M, Dunn M, Edwards B, Fisher L, Fitzgerald M, Gage Witvliet M, Gustafson T, Holmes V, Hornig M, Hornig M, Jain N, Kochis N, Lam J, Letts R, Lewis J, Martinez T, McCorkell L, McGrath R, Nguyen K, Nichols L, O'Brien L, Peddie A, Perlowski A, Phillips-Lorenzo E, Prentiss L, Raytselis N, Regino L, Rockwell M, Rutter J, Seibert E, Sekar A, Taylor E, Wallace A, Wilensky R, Williams M, Williams N, Williams-Dawson K, Wylam A. 2024 Update of the RECOVER-Adult Long COVID Research Index. JAMA 2025, 333: 694-700. PMID: 39693079, PMCID: PMC11862971, DOI: 10.1001/jama.2024.24184.Peer-Reviewed Original ResearchConceptsLong COVIDQuality-of-life measuresStudy visitsPost-COVID-19 conditionObservational cohort studyMain OutcomesPatient communityParticipant dataParticipant-reported symptomsCohort studyPostexertional malaiseSymptom listSARS-CoV-2 infectionShortness of breathParticipantsEnhanced recoveryBrain fogAdultsResearch indexVisitsChest painSymptomsPost-COVID-19Symptom subtypesChronic coughSociety of Critical Care Medicine 2024 Guidelines on Adult ICU Design
Hamilton D, Gary J, Scruth E, Anderson H, Cadenhead C, Oczkowski S, Lau V, Adler J, Bassily-Marcus A, Bassin B, Boyd J, Busl K, Crabb J, Harvey C, Hecht J, Herweijer M, Gunnerson K, Ibrahim A, Jabaley C, Kaplan L, Monchar S, Moody A, Read J, Renne B, Sarosi M, Swoboda S, Thompson-Brazill K, Wells C, Anderson D. Society of Critical Care Medicine 2024 Guidelines on Adult ICU Design. Critical Care Medicine 2025, 53: e690-e700. PMID: 39982130, DOI: 10.1097/ccm.0000000000006572.Peer-Reviewed Original ResearchMeSH KeywordsAdultCOVID-19Critical CareHospital Design and ConstructionHumansIntensive Care UnitsSARS-CoV-2ConceptsICU designPatient- and family-centered careHealthcare architectsGuideline panelPractice statementsFamily-centered careSociety of Critical Care MedicineQuality of evidenceEvidence-based recommendationsCritical care medicineRecommendations AssessmentDatabase inceptionSurge capacityClinical professionalsPatient roomsPanel consensusCare medicineInsufficient evidenceInterventionHealthcareFlexible surge capacityEnhance sleepPICO questionICUExpert guidanceT‑ALPHA: A Hierarchical Transformer-Based Deep Neural Network for Protein–Ligand Binding Affinity Prediction with Uncertainty-Aware Self-Learning for Protein-Specific Alignment
Kyro G, Smaldone A, Shee Y, Xu C, Batista V. T‑ALPHA: A Hierarchical Transformer-Based Deep Neural Network for Protein–Ligand Binding Affinity Prediction with Uncertainty-Aware Self-Learning for Protein-Specific Alignment. Journal Of Chemical Information And Modeling 2025, 65: 2395-2415. PMID: 39965912, DOI: 10.1021/acs.jcim.4c02332.Peer-Reviewed Original ResearchConceptsProtein-ligand binding affinity predictionBinding affinity predictionState-of-the-art performanceTransformer-based deep neural networksMultimodal feature representationAffinity predictionBinding affinity of small moleculesState-of-the-artDeep neural networksDeep learning modelsAffinity of small moleculesSelf-learning methodSARS-CoV-2 main proteasePredicted binding affinitiesFeature representationBinding affinityOn-target potencyNeural networkDrug discovery applicationsTransformation frameworkLearning modelsScoring functionCrystal structureSelf-learningMain proteaseImpact of disease severity, age, sex, comorbidity, and vaccination on secondary attack rates of SARS-CoV-2: a global systematic review and meta-analysis
Sumsuzzman D, Ye Y, Wang Z, Pandey A, Langley J, Galvani A, Moghadas S. Impact of disease severity, age, sex, comorbidity, and vaccination on secondary attack rates of SARS-CoV-2: a global systematic review and meta-analysis. BMC Infectious Diseases 2025, 25: 215. PMID: 39948450, PMCID: PMC11827239, DOI: 10.1186/s12879-025-10610-5.Peer-Reviewed Original ResearchConceptsPopulation settingEffective public health strategiesConfidence intervalsImpact of disease severityModified Newcastle-Ottawa ScalePublic health strategiesHigher secondary attack rateRisk of biasNewcastle-Ottawa ScalePandemic responseGlobal systematic reviewRandom-effects modelFreeman-Tukey double arcsine transformationWeb of ScienceNo significant associationDrivers of SARS-CoV-2 transmissionHealth strategiesSecondary attack rateSARS-CoV-2Disease severityEffective pandemic responseTargeted interventionsDouble arcsine transformationOvid MEDLINESystematic reviewImproving entity recognition using ensembles of deep learning and fine-tuned large language models: A case study on adverse event extraction from VAERS and social media
Li Y, Viswaroopan D, He W, Li J, Zuo X, Xu H, Tao C. Improving entity recognition using ensembles of deep learning and fine-tuned large language models: A case study on adverse event extraction from VAERS and social media. Journal Of Biomedical Informatics 2025, 163: 104789. PMID: 39923968, DOI: 10.1016/j.jbi.2025.104789.Peer-Reviewed Original ResearchConceptsTraditional deep learning modelsDeep learning modelsRecurrent neural networkLearning modelsEntity recognitionLanguage modelF1 scoreEnsemble of deep learningAdvances of natural language processingEffectiveness of ensemble methodsMicro-averaged F1Bidirectional Encoder RepresentationsExtensive labeled dataNatural language processingFine-tuned modelsBiomedical text miningFeature representationEncoder RepresentationsEvent extractionEntity typesText dataDeep learningSequential dataGPT-2Neural networkDistributed cross-learning for equitable federated models - privacy-preserving prediction on data from five California hospitals
Kuo T, Gabriel R, Koola J, Schooley R, Ohno-Machado L. Distributed cross-learning for equitable federated models - privacy-preserving prediction on data from five California hospitals. Nature Communications 2025, 16: 1371. PMID: 39910076, PMCID: PMC11799213, DOI: 10.1038/s41467-025-56510-9.Peer-Reviewed Original ResearchConceptsHeart disease dataParts of informationLearning counterpartsCentralized solutionVertical scenariosPatient privacyPredictive analyticsFederated modelSynchronization timePrivacyUC San DiegoPatient-level recordsDisease dataPatient dataPrediction modelPatient careHealthcare centersUniversity of CaliforniaCalifornia hospitalsHealthcare systemQuality improvementPatient recordsEffectiveness of the 2023-to-2024 XBB.1.5 COVID-19 Vaccines Over Long-Term Follow-up : A Target Trial Emulation.
Ioannou G, Berry K, Rajeevan N, Li Y, Yan L, Huang Y, Lin H, Bui D, Hynes D, Rowneki M, Bohnert A, Boyko E, Iwashyna T, Maciejewski M, Smith V, Berkowitz T, O'Hare A, Viglianti E, Aslan M, Bajema K. Effectiveness of the 2023-to-2024 XBB.1.5 COVID-19 Vaccines Over Long-Term Follow-up : A Target Trial Emulation. Annals Of Internal Medicine 2025, 178: 348-359. PMID: 39903865, DOI: 10.7326/annals-24-01015.Peer-Reviewed Original ResearchConceptsU.S. Department of Veterans AffairsDepartment of Veterans AffairsMatched index dateVaccine effectivenessTarget trial emulationSARS-CoV-2-associated deathsRandomized controlled trialsCOVID-19 vaccineSARS-CoV-2-related outcomesSARS-CoV-2 testingVeterans AffairsResidual confoundingAbsence of randomized controlled trialsLong-term follow-upDocumented SARS-CoV-2 infectionTrial emulationUnvaccinated personsIndex datePositive resultsControlled trialsCOVID-19SARS-CoV-2 infectionIncomplete captureHospitalDocumented infectionEvaluating the Bias, type I error and statistical power of the prior Knowledge-Guided integrated likelihood estimation (PIE) for bias reduction in EHR based association studies
Jing N, Lu Y, Tong J, Weaver J, Ryan P, Xu H, Chen Y. Evaluating the Bias, type I error and statistical power of the prior Knowledge-Guided integrated likelihood estimation (PIE) for bias reduction in EHR based association studies. Journal Of Biomedical Informatics 2025, 163: 104787. PMID: 39904407, DOI: 10.1016/j.jbi.2025.104787.Peer-Reviewed Original ResearchConceptsType I errorIntegrated likelihood estimatorsElectronic health recordsUse-case analysisLikelihood estimationLow prevalence outcomesUse-casesBias reductionNaive methodEffect sizeSynthetic dataPhenotyping algorithmsEstimation biasReal-world scenariosStatistical inferenceSimulation studyAssociation effect sizesAccurate prior informationBinary outcomesPoint estimatesAssociation estimatesStatistical powerHealth recordsKnowledge-guidedOutcome prevalenceCharacteristics of reported industry payments to neurosurgeons from 2019 to 2022: The impact of COVID-19
Elsamadicy A, Cross J, Reeves B, Shaffer A, McGuire L, Welch W, Arnold P, Rosenow J, Committee O. Characteristics of reported industry payments to neurosurgeons from 2019 to 2022: The impact of COVID-19. Journal Of Clinical Neuroscience 2025, 134: 111089. PMID: 39893930, DOI: 10.1016/j.jocn.2025.111089.Peer-Reviewed Original ResearchConceptsIndustry paymentsRetrospective studyFinancial partnershipsConsulting feesPaymentFinancial tiesDevice companiesProduct developmentRoyaltyNeurosurgeonsImpact of COVID-19Payment valueLicenseCOVID-19Industry partnershipsTotal valueTaxonomy codesCenters of MedicareIndustryIncreased monitoringInfluence patient careFeesInnovationHost-microbe multiomic profiling identifies distinct COVID-19 immune dysregulation in solid organ transplant recipients
Pickering H, Schaenman J, Phan H, Maguire C, Tsitsiklis A, Rouphael N, Higuita N, Atkinson M, Brakenridge S, Fung M, Messer W, Salehi-rad R, Altman M, Becker P, Bosinger S, Eckalbar W, Hoch A, Doni Jayavelu N, Kim-Schulze S, Jenkins M, Kleinstein S, Krammer F, Maecker H, Ozonoff A, Diray-Arce J, Shaw A, Baden L, Levy O, Reed E, Langelier C. Host-microbe multiomic profiling identifies distinct COVID-19 immune dysregulation in solid organ transplant recipients. Nature Communications 2025, 16: 586. PMID: 39794319, PMCID: PMC11723965, DOI: 10.1038/s41467-025-55823-z.Peer-Reviewed Original ResearchConceptsSolid organ transplant recipientsOrgan transplant recipientsTransplant recipientsInduction of pro-inflammatory genesSenescent T cellsTransitional B cellsImpaired viral clearanceImmune response to infectionAnti-spike IgG levelsNon-transplanted controlsFeatures of COVID-19Innate immune signaling pathwaysResponse to infectionPro-inflammatory genesSerum chemokinesViral clearanceImmune dysregulationT cellsImmune signaling pathwaysB cellsImmune featuresSex-matchedIgG levelsSevere diseaseTransplantationHousehold transmission of SARS-CoV-2 in five US jurisdictions: Comparison of Delta and Omicron variants
Baker J, Nakayama J, O’Hegarty M, McGowan A, Teran R, Bart S, Sosa L, Brockmeyer J, English K, Mosack K, Bhattacharyya S, Khubbar M, Yerkes N, Campos B, Paegle A, McGee J, Herrera R, Pearlowitz M, Williams T, Kirking H, Tate J. Household transmission of SARS-CoV-2 in five US jurisdictions: Comparison of Delta and Omicron variants. PLOS ONE 2025, 20: e0313680. PMID: 39787187, PMCID: PMC11717262, DOI: 10.1371/journal.pone.0313680.Peer-Reviewed Original ResearchConceptsPublic health jurisdictionsTransmission riskGeneralized estimating equationsHealth jurisdictionsSARS-CoV-2 transmissionSARS-CoV-2Household contactsIndex casePrevention strategiesRisk estimatesImpact SARS-CoV-2 transmissionConfidence intervalsSymptom statusMultivariate modelUS jurisdictionsSARS-CoV-2 DeltaEstimate differencesHousehold transmission rateOmicron variantSocial factorsSource of SARS-CoV-2 transmissionCOVID-19 vaccine dosesSARS-CoV-2 variantsRiskSymptomatic index casesUnanticipated Behavioral Consequences of On-demand COVID-19 Testing Policy in US States
Robertson L. Unanticipated Behavioral Consequences of On-demand COVID-19 Testing Policy in US States. Disaster Medicine And Public Health Preparedness 2025, 19: e7. PMID: 39773604, DOI: 10.1017/dmp.2024.344.Peer-Reviewed Original ResearchThe Interplay Between Respiratory Syncytial Virus and Asthma Inception: Insights Gained From the COVID‐19 Pandemic
Amram T, Duek O, Golan‐Tripto I, Goldbart A, Greenberg D, Hazan G. The Interplay Between Respiratory Syncytial Virus and Asthma Inception: Insights Gained From the COVID‐19 Pandemic. Pediatric Pulmonology 2025, 60: e27474. PMID: 39760467, PMCID: PMC11748096, DOI: 10.1002/ppul.27474.Peer-Reviewed Original ResearchConceptsRespiratory syncytial virusYears of ageSyncytial virusRespiratory syncytial virus bronchiolitisRespiratory syncytial virus infectionRespiratory syncytial virus exposureRSV-induced inflammationRespiratory syncytial virus activityMultivariate logistic regressionAirway changesAsthma inceptionRetrospective studyAsthma surrogateIncreased riskLogistic regressionAsthmaCause of asthmaCOVID-19 pandemicHealthcare organizationsPredispositionIncreased rateChildrenCOVID-19AgeVirusRapid climate action is needed: comparing heat vs. COVID-19-related mortality
Batibeniz F, Seneviratne S, Jha S, Ribeiro A, Suarez Gutierrez L, Raible C, Malhotra A, Armstrong B, Bell M, Lavigne E, Gasparrini A, Guo Y, Hashizume M, Masselot P, da Silva S, Royé D, Sera F, Tong S, Urban A, Vicedo-Cabrera A. Rapid climate action is needed: comparing heat vs. COVID-19-related mortality. Scientific Reports 2025, 15: 1002. PMID: 39762298, PMCID: PMC11704295, DOI: 10.1038/s41598-024-82788-8.Peer-Reviewed Original ResearchSex Differences in Long COVID
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Sex Differences in Long COVID. JAMA Network Open 2025, 8: e2455430. PMID: 39841477, PMCID: PMC11755195, DOI: 10.1001/jamanetworkopen.2024.55430.Peer-Reviewed Original ResearchConceptsRisk of long COVIDRisk ratioFemale sexSocial determinants of healthCohort studyManagement of long COVIDLong COVIDDeterminants of healthFemale participantsSymptom-based questionnaireEstimate risk ratiosProspective cohort studyAssociated with higher riskStates plus WashingtonNational Institutes of Health (NIHSocial determinantsSelf-reported sexEvaluate sex differencesMain OutcomesPost-COVID conditionsNonpregnant participantsRisk differenceMale participantsMenopausal statusCOVID risk
2024
Bioinformatics analysis of myelin-microbe interactions suggests multiple types of molecular mimicry in the pathogenesis of multiple sclerosis
Bigdeli A, Ghaderi-Zefrehei M, Lesch B, Behmanesh M, Arab S. Bioinformatics analysis of myelin-microbe interactions suggests multiple types of molecular mimicry in the pathogenesis of multiple sclerosis. PLOS ONE 2024, 19: e0308817. PMID: 39775333, PMCID: PMC11684644, DOI: 10.1371/journal.pone.0308817.Peer-Reviewed Original ResearchConceptsBile salt hydrolaseMyelin oligodendrocyte glycoproteinBioinformatics approachProtein structureMyelin basic proteinIn silico bioinformatics approachesAmino acidsIdentical amino acidsAmino acid sequenceCapsid protein structureCentral nervous systemAspergillus speciesAcid sequenceBacterial proteinsMultiple sclerosisMyelin sheath componentsBiological insightsGut flora metabolitesBioinformatics analysisMOG proteinPathogenesis of multiple sclerosisCNS diseaseWzyBacteriaProtein
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