biostudies-literatureMaddali MVNHLBINIA NIH HHSNIDA NIH HHSNIDDK NIH HHSNHLBI NIH HHSHealth Research BoardNIGMS NIH HHSNIGMS367-377https://www.ebi.ac.uk/biostudies/studies/S-EPMC8976729biostudies-literatureUnknown10(4)<h4>Background</h4>Two acute respiratory distress syndrome (ARDS) subphenotypes (hyperinflammatory and hypoinflammatory) with distinct clinical and biological features and differential treatment responses have been identified using latent class analysis (LCA) in seven individual cohorts. To facilitate bedside identification of subphenotypes, clinical classifier models using readily available clinical variables have been described in four randomised controlled trials. We aimed to assess the performance of these models in observational cohorts of ARDS.<h4>Methods</h4>In this observational, multicohort, retrospective study, we validated two machine-learning clinical classifier models for assigning ARDS subphenotypes in two observational cohorts of patients with ARDS: Early Assessment of RenalThe Lancet. Respiratory medicineValidation and utility of ARDS subphenotypes identified by machine-learning models using clinical data: an observational, multicohort, retrospective analysis.PMC8976729R35 HL140026R01 GM123193K23 HL133489R01 DA051464R01 DK126933R35 GM142992R01 HL157262R21 AG068720ECSA-2020-009K23 HL133495CTN-2021-010Foti GCurto EGPillai SMeybohm PLaffey JGHraiech SMontini LMLovazzano PLing LLRhayakar RVWatanabe EMacFie CCSimonis FDAker MSchioler FDi Tomasso NNTreanor NHurtado JDolva MSNoremark KALAlbarrak MMBhowmick KCardonnet LPScafetti SBulpa PAThomas RRJMSantos CBajwa EAndruszkiewicz PVercueil ATrinidad OAAl Jabbary ASRoche-Campo FVillar VYu RAmir FDangers LHacking DJShenoy AEstrella CRRuiz SRMukkera SRRiss KCPerez Losada EMaca JKakar VBorello SAYu WYu TNamih MAbroug FAisiku ICerny VPalaniswamy VFossali TNishikawa ECereijo EUchiyama ADeclercq PMPapavasilopoulou TGLombardo AGonzalez DRAzevedo LCLopez-Delgado JCMontiel Gonzalez RGarcia PHSchuetz MZender HORicome SNunomiya SOurailogloy VMckechnie SEstilita JMKrstevski AOldroyd MGWelters IDHaddad YSchouten JAArabi YMBoyd OUnal NChiche JDStigler WChen KKennedy BCombes AVirgilio CGBauer PROneill OPittini GSchlichting ABSantoli FLJaafar RFAbe TDeicas ACasement JLeemann-Refondini CNasu MBiondi RSCracchiolo ANMancebo JPota VMojoli FZogheib EHCirone RBanner-Goodspeed VMBlanco JMacfadyen RAllue RMSellors GPHedlund LLoiacono FACoppadoro ASchiavoni LOkane SCCasalena PHigashijima UJakubowska KTiribelli NDunne ESRodgers HJShen JCastro SRowne TSBPecci EMataloun SDector DMNin NJassal Mde Prost NToth-Tarsoly PAlvarez AMGosselin RJInsaurralde CSBeloncle FVascotto ERGrissom CKZhu WHNagy EOJaveed ABisso MCVermassen JSetten MGHeidari FVargas MPMolin AWong HSMercat AOikonomou MANunes SLHan YMirabella LQin SHVillagomez ABeitler JRSchneider FNegoita SIEllis HEJochmans SGomaa DRezoagli EPiras CDiaz JCJSPerez Cheng MBarratt-Due ATabhan EUppalapati ALohner RBouchoucha SBraschi AKong JPersson LPhan NTRaaijmakers MOliveira BSHan HNewby LDean MNIsmail DMABPHPoblano MAguirre JSMejia FJFEsteve FPatroniti NSivashanmugave MBailey MBMckenna TETodeschini MBiehler JJarquin-Badiola YDRuiz-Aguilar ALDaviaud FTan BCBriquet AYoshido HHLSerra IMTwohey LSoreide EAl Dorzi HMQin THBalkhi HBesset SLTainter CTakada TMichel PSauvadet EPOcchipinti GAlfonso AATPasanting-Lim RABBihari SFarias PADe Pablo RDoyen DDixit SBAguilar RZMatsumoto SAneman AVeljovic MBurtin PSchiavone VKadaba VShah BZani GCervantes MRBailey IMGhazi MSoler JALorente MDCStephenson LGonzalez MNygren IGomez AGoncalves CHIbanez-Santacruz MMahto HLSagar SVWilliams KEIrvine DAPalo JESanchez-Medina JRBadie JCSher SSchafer SHopf HFBreen DMAndoh KHe JFrancois GMWang HXElisabet GMHe ZCitalan JECeniceros-Barros AAlonso JGVessel KSolis-Quesada JECarteaux GAvila LEChoudry SBeduneau GMcNeil JBMemon MVolta CACesar PSFan ECortez CAGraziani RRobine AZhao XYLi BDonnelly AHerbrecht JEOgino YCollins DVScott CJYuste LJSrinivasa LHonda HAu SMDavies KGArabi YHelleberg JLaake JHAlbaiceta GMLanspa MJPara LHFollin AArizmendi AHashida TQiu HVinzio MAmor MTakagi SVega LDKraßler JPattarino ICanestrini SMuthuchellappan RMaghrabi KABruns MMO'Muircheartaigh ACHunt AWatt PMehta SVan Haren FBolon SDreyer KRMccalman KHAzad RHagan SJGomes RMDawson HMay MMLi QIchikado KBotteri MGianinetto HLi WLi XLi YIoannou NEugenio Luis PSDive AMDaubin CBaronia AKPellicer AMPiquilloud LLora PJiang LIzawa MLemus JSChristiansen AWessbergh JMatamis DArnal JMNutt CSamkaoui NGao YNAliaga FANavarro GMaeyama HNDemirkiran ONielsen JCollyer TCareless JPFierro JMSilesky Jimenez JIGordo FRoberts BLNiimi DDempsey GAjetunmobi OOHormis APImperio MCFranco NPereira CSNunci LBiscione RRSanchez-Hurtado LANobrega DLorente JACastro AGLuo XForteza CSteinberg JZhang FRaj ASBeegle SHMorin AKAlbiero DFloris LMagret MPronovost AGritsan AIChau SKBrown SMPoli MMThompson MMClaverias LKajtor ILi QJBeck OZheng RBeck EParotto MSmith MJTibblin AODelucchi KLMcleod AAlda RSSeethala RMillar RTLamb KDKheir FMWilliams AJVillagomez AJShiozaki KCalfee CSHopkins PMonteiro JMAntonelli MMFartoukh MZhou STerragni PBlasco Navalpotro MARecio NNWillett ELDe Gordoa LOXin-Hua QWang SHBatra HReske AWVitale MNAmin PWenham TSzakmany TKnoll JBroman LMLaffey JAlejandro RVWu YQMckee RMcAuley DFCamsooksai JNunez EAlmekhlafi GSanchez-Ballesteros JBrown CGillis SSurbatovic MTemprano SBaboi LSun RChelly JRinia MSchultz MJPreez PDZhu BHUmbrello MRoux DRigaud JPLiu KDYeatts DJJurado MTRichecoeur JRRamesh VJKannan SGIsmail MGazenkampf AADelsing AKameyama YIsmail DKnowles SImma VPDwyer RGoligher ECVillamagua BGBaltus TKurahashi KRodriguez RTinnirello AKalkoff MVasquez DNSim MReuter DErbabacan EBezzi MGOlga MFDe Cima-Iglesias SMoock MZacharas GAKumar AChabanne RSaito SCranshaw JHLi XLSaito KBlack CSKitch BTMaddali MVHuerta FPHumphreys SKPozzi MAndersen FHGoldgran-Toledano DRobles JBAmpinelli AMRBaron RMLe Moal CTabhan EEFutami SBrizuela MRamirez-Alfaro CMColombo RXu YBrito VASavioli MSanchez RMLiu JLZacharowski KDGrelon FSaez AAAntonio ACPMontero LABarros FMMcarthur CElmasri MBumbasirevic VWickersham NCerrato VIStaudinger TChurpek MStansil FMorton AFrigyik ADHendrickson CMRamirez-Gutierrez ABedreag OHBen Souissi AMesar TLebbinck HMohr NMKusumoto KClaraco-Vega LMNassar APGoodson JCDowling ATGomez-Flores SSOetting TWToribio DPMoya DDLLUNG SAFE Investigators and the ESICM Trials GroupAbad RDReynolds CKoyama KHonrubia TKamoun SBarros NCDupont HKiourtzieva EVCarbayo-Gorriz CHarrois AKulkarni SLora FSLeligdowicz AIotti GASanchez RJSottiaux TNakamura TFerguson NDChouchene ILiu HLiu JLiu LRugonfalvi SFrati EBarberet GAguirre-Bermeo HJibaja MSaenz MGBugedo GEriksson KEBrazzi LEzzouine HMcNamee LNamendys-Silva SABuzancais GGirgin NKLi YYSarma ABramall JBouw MJElatrous SEstenssoro EGrigoriev EShinn Iii JOGomez PESeasman CMiller RRFernandez ROMohammadreza Hashemian SCowley RATulaimat ATomescu DRWhitehead CIlutovich SBerghe CSchomer AMartinho AMCooper RStamou EEArtigas AManoharan VHua MXAllan RMPham TAlisasis AUFranca AGSales VMOwens RLRoser TPKimura HSymmonds SGrijalba CQDemoule AMustafa GMBoukhazna MMortaza SNeal JRaimondi FOsman EMPalmese SDanin PEMarum SMBurtenshaw AJAscoli APelletier NThibault SMassa EVLiew KYDempaire GWoods PWAn YJauregui ASeven AGonzalez-Salamanca AStewart RDaldin JGiarratano AVan Wezel HMKhebbeb SAltaf WDendane TDres MTerzi NZeggwagh AALarsson NOrtiz CAMarin MCWise MPGlietsch RCazorla-Barranquero FGSula HHanlon GCLemiale VElkhayari MZhang XYHessell RJYao QDellamonica JMontanha GMLarsson AYe ZLGao YProtti AMeersseman PSable SDRosa JILlano MReschreiter HHuang QQJimenez AGHashemian SMAlexander PZhai ZBigot CShimizu KCarpentier DCombaux DMYumha JSCrouch DRNichol AGurjar MAdams JCBhardwaj VKOscanoa FAMGrubissich NWittebole XSmith OChapman RCurley GMiller JJGueret RMHolzgraefe BWarren JSalas JEHang AYDellera CDerman SSPapurica MRios FTarantino FCsabi PHou PCHuang XBAlgaba AMouloudi EKCatorze NTZhou FCSklienka PRodriguez LLLynch JMRossi AFerguson ARafael SIMarcos DPGriffin ROMatthay MAHutton PJPiacentini EAMochizuki KRamakrishnan NBrunettini BWrathall DWHuff NGKashiwa YNavarra LPere CPZhao WPapanikolaou MNAppelberg HBerkelmans FBlakeman TCZhao JBuensuseso JAOzcelik MZhao HBeuret PAisa TMAoki NRaponi FFrendl GKamel GSilesky JCimic NGonzalez Rojas MASalahuddin NYamaji YBruhn ARRanero JLMattei AMeco BCO'Croinin DTapponnier RBettini LRUeno KMizuguchi IJovanovic BHeunks LMVenti AClarkson KTanaka HHou SKGelee BMonti GOkuda NAdamsson ROParhar KCortegiani ASeoane-Quiroga LSabelnikovs OHutchison RAArtiga MJDPintado MCCinnella GPenuelas OMoles SIAdolfsson ABumbasierevic VCohen JEEbeid AFernandez AMSuzuki HUnnikrishnan RBeraldo DOKander TKnapman KMMessika JBenslama ARialp GAlvarez JVerstraete RHadfield DChena APalma DMGuttormsen ABCorneci DEUeda TGoubaux BPlotnikow GABattle CEClarkson KPCeylan IPanarello GTakaba ACeunen HRittayamai NGjedsted JKe SFontenele DCZhuo HKol MRKedelv HMcAuley DJog SADuranteau JHermosa CDiaz-Rodriguez EImai HDe Haro CDepuydt PHarasawa TCrapelli GFusari MHenderson GCox CMNitta Kdo Vale Fernandes AShao HCani AShindhe SCrova PJQin JZazu ALopez EBLee JWrigge HMessias AMSjobo BAAraujo AMOuld Zein SMartinez FTLabarca EFTang RRyosuke SLi-Xin ZRylander CCGanesan DBorotto EEMarcu ABuise MPMarin JKangelaris KNPellegrini CACarreno NGKalaitzis EQin BSimon PLu WGeorge FGJudy CWang CLu YHirata APozo NCDi YDSpadaro SIto FPerez MPZantua KSWang WMaazouzi WInskip DMSerra CTrinder TJGally JSinha PBellani GMilstein CHeines SJGuerin CJamaati HFawkes DALopez-Messa JBPapazian LOss PYamaguchi OAkyol OOFormenti PWare LBMeaney EASandesc DOuanes ICole JMPrieto-Gonzalez MMellis CGomez PRAfalseValidation and utility of ARDS subphenotypes identified by machine-learning models using clinical data: an observational, multicohort, retrospective analysis.<h4>Background</h4>Two acute respiratory distress syndrome (ARDS) subphenotypes (hyperinflammatory and hypoinflammatory) with distinct clinical and biological features and differential treatment responses have been identified using latent class analysis (LCA) in seven individual cohorts. To facilitate bedside identification of subphenotypes, clinical classifier models using readily available clinical variables have been described in four randomised controlled trials. We aimed to assess the performance of these models in observational cohorts of ARDS.<h4>Methods</h4>In this observational, multicohort, retrospective study, we validated two machine-learning clinical classifier models for assigning ARDS subphenotypes in two observational cohorts of patients with ARDS: Early Assessment of Renal2022-01-01T00:00:00Z2022 Apr2026-06-04T05:00:05.138Z2024-10-18T03:37:04.935ZS-EPMC89767293502617710.1016/s2213-2600(21)00461-610.1016/S2213-2600(21)00461-6