Philippe JEAN-PIERRE

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• Type de publi. : Pré-publication, Document de travail
• Date de publi. : 16/08/2022
• Auteurs : Jean-Michel LettDelphine MasséDenis FillouxThierry CandresseSébastien MassartArmelle MaraisEric VerdinNathalie CassamEmmanuel FernandezPhilippe RoumagnacPierre-Yves TeycheneyPierre Lefeuvre
• Organismes : Peuplements végétaux et bioagresseurs en milieu tropical Département Systèmes Biologiques Unité Ravageurs et agents pathogènes tropicaux Peuplements végétaux et bioagresseurs en milieu tropical Plant Health Institute of Montpellier Département Systèmes Biologiques Biologie du fruit et pathologie Unité de recherche TERRA [Gembloux] Biologie du fruit et pathologie Unité de Pathologie Végétale Unité Ravageurs et agents pathogènes tropicaux Plant Health Institute of Montpellier Département Systèmes Biologiques Plant Health Institute of Montpellier Département Systèmes Biologiques Peuplements végétaux et bioagresseurs en milieu tropical Département Systèmes Biologiques Peuplements végétaux et bioagresseurs en milieu tropical Département Systèmes Biologiques

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Résumé : We report the complete genome sequencing of a novel member of the genus Vitivirus in the family Betaflexiviridae (subfamily Trivirinae) infecting pineapple. The full genome of this virus was obtained from total RNAs extracted from pineapple leaf samples collected in Reunion Island, using a combination of high-throughput sequencing technologies. It is 6,757 nt long, excluding the poly(A) tail, and shares all the hallmarks of vitiviruses. Phylogenetic analyses performed on the replication-associated protein and capsid protein gene sequences unambiguously place this new virus, for which we propose the name “pineapple vitivirus A”, in the Vitivirus genus.

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Fichiers liés : 2022-Lett-Preprint-Research Square.pdf

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• Type de publi. : Article dans une revue
• Date de publi. : 16/08/2022
• Auteurs : François VergezLaetitia LargeaudSarah BertoliMarie-Laure NicolauJean-Baptiste RieuInès VergnolleEstelle SalandAudrey SarrySuzanne TavitianFrançoise HuguetMuriel PicardJean-Philippe VialNicolas LechevalierAudrey BidetPierre-Yves DumasArnaud PigneuxIsabelle LuquetVéronique Mansat-de MasEric DelabesseMartin CarrollGwenn Danet-DesnoyersJean-Emmanuel SarryChristian Récher
• Organismes : Centre de Recherches en Cancérologie de Toulouse
• Publié dans Blood Cancer Journal le 02/11/2020

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Résumé : Abstract Classifications of acute myeloid leukemia (AML) patients rely on morphologic, cytogenetic, and molecular features. Here we have established a novel flow cytometry-based immunophenotypic stratification showing that AML blasts are blocked at specific stages of differentiation where features of normal myelopoiesis are preserved. Six stages of leukemia differentiation-arrest categories based on CD34, CD117, CD13, CD33, MPO, and HLA-DR expression were identified in two independent cohorts of 2087 and 1209 AML patients. Hematopoietic stem cell/multipotent progenitor-like AMLs display low proliferation rate, inv(3) or RUNX1 mutations, and high leukemic stem cell frequency as well as poor outcome, whereas granulocyte–monocyte progenitor-like AMLs have CEBPA mutations, RUNX1-RUNX1T1 or CBFB-MYH11 translocations, lower leukemic stem cell frequency, higher chemosensitivity, and better outcome. NPM1 mutations correlate with most mature stages of leukemia arrest together with TET2 or IDH mutations in granulocyte progenitors-like AML or with DNMT3A mutations in monocyte progenitors-like AML. Overall, we demonstrate that AML is arrested at specific stages of myeloid differentiation (SLA classification) that significantly correlate with AML genetic lesions, clinical presentation, stem cell properties, chemosensitivity, response to therapy, and outcome.

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• Type de publi. : Article dans une revue
• Date de publi. : 15/08/2022
• Auteurs : Shengli TaoZurui AoWigneron J.-P.Sassan SaatchiPhilippe CiaisJérôme ChaveThuy Le ToanPierre-Louis FrisonXiaomei HuChi ChenLei FanMengjia WangJiangling ZhuXia ZhaoXiaojun LiXiangzhuo LiuYanjun SuTianyu HuQinghua GuoZhiheng WangZhiyao TangYi LiuJingyun Fang
• Organismes : Peking University [Beijing] Centre d'études spatiales de la biosphère South China Normal University [Guangdong, China] = Université normale de Chine du Sud [Canton, Chine] = 華南師范大學 Interactions Sol Plante Atmosphère Jet Propulsion Laboratory Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] Evolution et Diversité Biologique Centre d'études spatiales de la biosphère Laboratoire en Sciences et Technologies de l'Information Géographique Centre d'études spatiales de la biosphère Peking University [Beijing] Lawrence Berkeley National Laboratory [Berkeley] Chongqing University [Chongqing] Zhengzhou University Peking University [Beijing] Chinese Academy of Sciences [Beijing] Chinese Academy of Sciences [Beijing] Interactions Sol Plante Atmosphère Chinese Academy of Sciences [Beijing] Chinese Academy of Sciences [Beijing] Peking University [Beijing] Peking University [Beijing] Peking University [Beijing] Interactions Sol Plante Atmosphère Peking University [Beijing]
• Publié dans Earth System Science Data le 23/10/2020

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Résumé : Abstract. Satellite radar backscatter contains unique information on land surface moisture, vegetation features, and surface roughness, and can be acquired in all weather conditions, thus has been used in a range of earth science disciplines. However, there is no single global radar data set that spans more than two decades. This has limited the use of radar data for trend analysis over extended time intervals. We here provide the first long-term (since 1992), high resolution (~8.9 km) satellite radar backscatter data set over global land areas, the C-band Scatterometer (CScat) data set, by fusing signals from European Remote Sensing satellite (ERS, 1992–2001, C-band, 5.3 GHz), Quick Scatterometer (QSCAT, 1999–2009, Ku-band, 13.4 GHz), and the Advanced Scatterometer (ASCAT, since 2007, C-band, 5.255 GHz). The six-year data gap between C-band ERS and ASCAT was filled out by modelling an equivalent C-band signal during 1999–2009 from Ku-band QSCAT signals and climatic information. Towards this purpose, we first rescaled the signals from different sensors, pixel by pixel, using a new signal rescaling method that is robust to limited overlapping observations among sensors. We then corrected the monthly signal differences between the C-band and the scaled Ku-band signals, by modelling the signal differences from climatic variables (i.e., monthly precipitation, skin temperature, and snow depth) using decision tree regression. The quality of the merged radar signal was assessed by computing the Pearson r, Root Mean Square Error (RMSE), and relative RMSE (rRMSE) between the C-band and the corrected Ku-band signals in the overlapping years (1999–2001 and 2007–2009). We obtained high Pearson r values and low RMSE values at both the regional (r ≥ 0.93, RMSE ≤ 0.16, rRMSE ≤0.37) and pixel levels (median r across pixels ≥ 0.80, median RMSE ≤ 0.38, median rRMSE ≤ 0.64), suggesting high accuracy for the data merging procedure. The merged radar signal was then validated with a continuous ERS-2 data set available between 1995 and 2011. ERS-2 stopped working in full mode after 2001 but observations are occasionally available for a subset of the pixels until 2011. Because the period of 1995–2011 fully overlaps with the working period of QSCAT (1999–2009), comparing the merged radar signal against the ERS-2 data in 1995–2011 is the most direct validation available. We found concordant monthly dynamics between the merged radar signals and the ERS-2 signals during 1995–2011, with Pearson r value ranging from 0.79 to 0.98 across regions. These results evidenced that our merged radar data have a consistent C-band signal dynamic. The CScat data set (https://doi.org/10.6084/m9.figshare.20407857, Tao et al. 2022a) is expected to advance our understanding of the long-term changes in, e.g., global vegetation and soil moisture. The data set will be updated on a regular basis.

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Fichiers liés : essd-2022-264.pdf

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• Type de publi. : Article dans une revue
• Date de publi. : 15/08/2022
• Auteurs : Delphine AvrilJean-Philippe FoyJebrane BouaoudVincent GrégoirePierre Saintigny
• Organismes : Centre de Recherche en Cancérologie de Lyon CHU Pitié-Salpêtrière [AP-HP] Centre de Recherche en Cancérologie de Lyon CHU Pitié-Salpêtrière [AP-HP] Centre de Recherche en Cancérologie de Lyon Centre Léon Bérard [Lyon] Université Claude Bernard Lyon 1 Centre Léon Bérard [Lyon] Centre de Recherche en Cancérologie de Lyon
• Publié dans International Journal of Radiation Biology le 31/10/2020

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• Type de publi. : Article dans une revue
• Date de publi. : 11/08/2022
• Auteurs : Jonathan ChabertEtienne AllauzeBruno PereiraCarine ChassainIngrid de ChazeronJean-Yves RotgePhilippe FossatiPierre-Michel LlorcaLudovic Samalin
• Organismes : Service Psychiatrie Adulte [CHU Clermont-Ferrand] Institut Pascal Service Psychiatrie Adulte [CHU Clermont-Ferrand] Institut Pascal Direction de la Recherche Clinique et de l’Innovation [CHU Clermont-Ferrand] Service Imagerie Médicale et Radiologie Interventionnelle - site Gabriel-Montpied [CHU Clermont-Ferrand] Institut Pascal Service Psychiatrie Adulte [CHU Clermont-Ferrand] Institut Pascal Infrastructure de recherche clinique en psychiatrie adulte [ICM Paris] Infrastructure de recherche clinique en psychiatrie adulte [ICM Paris] Institut Pascal Pôle Psychiatrie Enfant-Adulte [CHU Clermont-Ferrand] Institut Pascal Pôle Psychiatrie Enfant-Adulte [CHU Clermont-Ferrand]
• Publié dans International Journal of Molecular Sciences le 03/05/2024

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Résumé : The exact neurobiological mechanisms of bipolar disorder (BD) remain unknown. However, some neurometabolites could be implicated, including Glutamate (Glu), Glutamine (Gln), Glx, and N-acetylaspartate (NAA). Proton Magnetic Resonance Spectroscopy (1H-MRS) allows one to quantify these metabolites in the human brain. Thus, we conducted a systematic review and meta-analysis of the literature to compare their levels between BD patients and healthy controls (HC). The main inclusion criteria for inclusion were 1H-MRS studies comparing levels of Glu, Gln, Glx, and NAA in the prefrontal cortex (PFC), anterior cingulate cortex (ACC), and hippocampi between patients with BD in clinical remission or a major depressive episode and HC. Thirty-three studies were included. NAA levels were significantly lower in the left white matter PFC (wmPFC) of depressive and remitted BD patients compared to controls and were also significantly higher in the left dorsolateral PFC (dlPFC) of depressive BD patients compared to HC. Gln levels were significantly higher in the ACC of remitted BD patients compared to in HC. The decreased levels of NAA of BD patients may be related to the alterations in neuroplasticity and synaptic plasticity found in BD patients and may explain the deep white matter hyperintensities frequently observed via magnetic resonance imagery.

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Fichiers liés : Glutamatergic and N-Acetylaspartate Metabolites in Bipolar Disorder= A Systematic Review and Meta-Analysis of Proton Magnetic Resonance Spectroscopy Studies.pdf

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• Type de publi. : Article dans une revue
• Date de publi. : 11/08/2022
• Auteurs : Richard EvershedGeorge Davey SmithMélanie Roffet-SalqueAdrian TimpsonYoan DiekmannMatthew LyonLucy CrampEmmanuelle CasanovaJessica SmythHelen WheltonJulie DunneVeronika BrychovaLucija ŠoberlPascale GerbaultRosalind E GillisVolker HeydEmily JohnsonIain KendallKatie ManningArkadiusz MarciniakAlan OutramJean-Denis VigneStephen ShennanAndrew BevanSue ColledgeLyndsay Allason-JonesLuc AmkreutzAlexandra AndersRose-Marie ArbogastAdrian BălăşescuEszter BánffyAlistair BarclayAnja BehrensPeter BoguckiÁngel Carrancho AlonsoJosé Miguel CarreteroNigel CavanaghErich ClaßenHipolito Collado GiraldoMatthias ConradPiroska CsengeriLech CzerniakMaciej DębiecAnthony DenaireLászló DomboróczkiChristina DonaldJulia EbertChristopher EvansMarta Francés-NegroDetlef GronenbornFabian HaackMatthias HalleCaroline HamonRoman HülshoffMichael IlettEneko IriarteJános JakucsChristian JeunesseMelanie JohnsonAndy JonesNecmi KarulDmytro KiosakNadezhda KotovaRüdiger KrauseSaskia KretschmerMarta KrügerPhilippe LefrancOlivia LelongEva LenneisAndrey LogvinFriedrich LüthTibor MartonJane MarleyRichard MortimerLuiz OosterbeekKrisztián OrossJuraj PavúkJoachim PechtlPierre PétrequinJoshua PollardRichard PollardDominic PowleslandJoanna PyzelPál RaczkyAndrew RichardsonPeter RoweStephen RowlandIan RowlandsonThomas SaileKatalin SebőkWolfram SchierGermo SchmalfußSvetlana SharapovaHelen SharpAlison SheridanIrina ShevninaIwona Sobkowiak-TabakaPeter StadlerHarald StäubleAstrid StobbeDarko StojanovskiNenad TasićIvo van WijkIvana VostrovskáJasna VukovićSabine WolframAndrea Zeeb-LanzMark Thomas
• Organismes : University of Bristol [Bristol] University of Bristol [Bristol] University of Bristol [Bristol] BioArchéologie, Interactions Sociétés Environnements University of Bristol [Bristol] Uniwersytet im. Adama Mickiewicza w Poznaniu = Adam Mickiewicz University in Poznań BioArchéologie, Interactions Sociétés Environnements Trajectoires - UMR 8215
• Publié dans Nature le 29/10/2020

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• Type de publi. : Article dans une revue
• Date de publi. : 08/08/2022
• Auteurs : Chaithya Giliyar RadhakrishnaPierre WeissGuillaume Daval-FrérotAurélien MassireAlexandre VignaudPhilippe Ciuciu
• Organismes : Service NEUROSPIN Modèles et inférence pour les données de Neuroimagerie Institut de Mathématiques de Toulouse UMR5219 PRIMO (ITAV) Signal et Communications Unité de biologie Moléculaire, Cellulaire et du Développement Institut de recherche en informatique de Toulouse Centre de Biologie Intégrative Service NEUROSPIN Siemens Healthineers [Saint-Denis] Modèles et inférence pour les données de Neuroimagerie Siemens Healthineers [Saint-Denis] Building large instruments for neuroimaging: from population imaging to ultra-high magnetic fields Service NEUROSPIN Modèles et inférence pour les données de Neuroimagerie
• Publié dans IEEE Transactions on Medical Imaging le 26/10/2020

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Résumé : The Spreading Projection Algorithm for Rapid K-space samplING, or SPARKLING, is an optimization-driven method that has been recently introduced for accelerated 2D T2*-w MRI using compressed sensing. It has then been extended to address 3D imaging using either stacks of 2D sampling patterns or a local 3D strategy that optimizes a single sampling trajectory at a time. 2D SPARKLING actually performs variable density sampling (VDS) along a prescribed target density while maximizing sampling efficiency and meeting the gradient-based hardware constraints. However, 3D SPARKLING has remained limited in terms of acceleration factors along the third dimension if one wants to preserve a peaky point spread function (PSF) and thus good image quality. In this paper, in order to achieve higher acceleration factors in 3D imaging while preserving image quality, we propose a new efficient algorithm that performs optimization on full 3D SPARKLING. The proposed implementation based on fast multipole methods (FMM) allows us to design sampling patterns with up to 10^7 k-space samples, thus opening the door to 3D VDS. We compare multi-CPU and GPU implementations and demonstrate that the latter is optimal for 3D imaging in the high-resolution acquisition regime (600µm isotropic). Finally, we show that this novel optimization for full 3D SPARKLING outperforms stacking strategies or 3D twisted projection imaging through retrospective and prospective studies on NIST phantom and in vivo brain scans at 3 Tesla. Overall the proposed method allows for 2.5-3.75x shorter scan times compared to GRAPPA-4 parallel imaging acquisition at 3 Tesla without compromising image quality.

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Fichiers liés : 2020_Full3D_SPARKLING.pdf

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• Type de publi. : Communication dans un congrès
• Date de publi. : 07/08/2022
• Auteurs : Olivia Desgué-ItierLaura SoaresO. AnnevilleDamien BouffardVincent ChanudetPierre-Alain DanisIsabelle DomaisonJean GuillardThéo MazureNajwa SharafFrédéric SoulignacViet Tran KhacBrigitte Vincon-LeiteJean-Philippe Jenny
• Organismes : Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques Swiss Federal Institute of Aquatic Science and Technology [Dübendorf] EDF, Hydro Engineering Centre, Environment and Social Department, 73370 Le Bourget-du-Lac, France Pôle Écla - écosystèmes lacustres Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques Pôle Écla - écosystèmes lacustres CIPEL, International Commission for the protection of Water Lake Geneva, 1260 Nyon, Switzerland Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques Laboratoire Eau Environnement et Systèmes Urbains Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques

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Résumé : Climate change modifies the thermal regime and solubility of oxygen in lakes globally, resulting in the alteration of lake habitats. The use of 1D lake models has become the standard in lake research to evaluate the effects of climate change. However, the required global scale forcing parameters have several limitations, such as the need of downscaling. In this study, we evaluate the possibility to force mechanistic models by following the long-term evolution of shortwave radiation and air temperature while providing realistic seasonal trends for other meteorological parameters. The performance of 1D hydrodynamic lake models was assessed for long-term variations based on 70 years of limnological data collected by the French Observatory of LAkes (OLA). Further, the effects of climate change on the thermal regime and oxygen solubility were analyzed in the four-largest French peri-Alpine lakes. Our results show that 1D models forced by air temperature and short-wave radiation accurately predict variations in lake thermal regime, with RMSE of 1.14 °C. According to model simulations in the epilimnion and hypolimnion respectively, during the last three decades, water temperatures have increased by 0.46 °C/decades (±0.02 °C) and 0.33 °C/decades (±0.06°C). Accordingly, O2 solubility decreased by -0.104 mg/L/decades (±0.005 mg/L) and -0.096 mg/L/decades (±0.011 mg/L) due to thermal change. Based on the ssp370 socio-economic pathway of the IPCC, perialpine lakes will face an increase of 3.80 °C (±0.20 °C) in the future until 2100. These results suggest important degradation in lake thermal and oxygen conditions as well as habitat loss for endemic species.

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• Type de publi. : Communication dans un congrès
• Date de publi. : 07/08/2022
• Auteurs : Olivia Desgué-ItierLaura Melo Vieira SoaresO. AnnevilleDamien BouffardVincent ChanudetPierre-Alain DanisIsabelle DomaizonJean GuillardThéo MazureNajwa SharafFrédéric SoulignacViet Tran KhacVinçon-Leite BrigitteJean-Philippe Jenny
• Organismes : Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques Swiss Federal Institute of Aquatic Science and Technology [Dübendorf] Savoie Technolac Pôle Écla - écosystèmes lacustres Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques Pôle Écla - écosystèmes lacustres Commission Internationale pour la Protection des Eaux du Léman Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques Laboratoire Eau Environnement et Systèmes Urbains Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques

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Résumé : Climate change modifies the thermal regime and oxygen solubility in lakes globally, resulting in the alteration of lake habitats. The use of 1D lake models has become the standard in lake research to evaluate the effects of climate change. However, the required global scale forcing parameters have several limitations, such as the need of downscaling. Here, we evaluate the possibility to force mechanistic models by following the long-term evolution of shortwave radiation and air temperature while providing realistic seasonal trends for other meteorological parameters. The performance of 1D hydrodynamic lake models was assessed for long-term variations based on 70 years of limnological data collected by the French Observatory of LAkes (OLA). Further the effects of climate change on the thermal regime and oxygen solubility were analyzed in the four-largest French peri-Alpine lakes. Our results show that 1D models forced by air temperature and short-wave radiation accurately predict variations in lake thermal regime, with RMSE of 1.14°C. According to model simulations in the epilimnion and hypolimnion respectively, during the last three decades, water temperatures have increased by 0.46°C/decades (±0.02°C) and 0.33°C/decades (±0.06°C). Accordingly, O2 solubility decreased by -0.104mg/L/decades (±0.005 mg/L) and -0.096mg/L/decades (±0.011 mg/L) due to thermal change. Based on the ssp370 socio-economic pathway of the IPCC, perialpine lakes will face an increase of 3.80°C(±0.20°C) in the future until 2100. These results suggest important degradation in lake thermal and oxygen conditions as well as habitat loss for endemic species.

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• Type de publi. : Article dans une revue
• Date de publi. : 01/08/2022
• Auteurs : Behnood BikdeliCésar CaraballoJavier Trujillo-SantosJean-Philippe GalanaudPierpaolo Di MiccoVladimir RosaGemma Vidal CusidóSebastian SchellongMeritxell MelladoMaría del Valle MoralesOlga Gavín-SebastiánLucia MazzolaiHarlan KrumholzManuel MonrealPaolo PrandoniBenjamin BrennerDominique Farge-BancelRaquel BarbaLaurent BertolettiInna TzoranAbilio ReisMarijan BosevskiHenri BounameauxRadovan MalýPeter VerhammeJoseph CapriniMaría Dolores AdarragaPaloma Agudo de BlasJesús AibarCristina AmadoJuan Ignacio ArcelusAitor BallazCristina BarbagelataManuel BarrónBelén Barrón-AndrésÁngeles Blanco-MolinaFahd Beddar ChaibErnesto BotellaBeatriz Buño-RamiloJoaquín CastroLeyre ChascoJuan CriadoCristina de AncosJavier de MiguelJorge del ToroPablo Demelo-RodríguezAna María Díaz-BraseroMaría del Carmen Díaz-PedrocheJosé Antonio Díaz-PeromingoRaquel Díaz-SimónIrene Milagros DomínguezÁlvaro Dubois-SilvaJosé Carlos EscribanoFrancis EspósitoAna Isabel Farfán-SedanoCarmen Fernández-CapitánJosé Luis Fernández-ReyesÁngeles FidalgoCarme FontIria FranciscoCristina GabaraFrancisco Galeano-ValleMaría Angelina GarcíaFerrán García-BragadoMarta García de HerrerosRocío García de la GarzaCovadonga García-DíazAída Gil-DíazMario Giménez-SuauCovadonga Gómez-CuervoEnric GrauLeticia GuiradoJavier GutiérrezLuis Hernández-BlascoLuis Jara-PalomaresMaría Jesús JarasDavid JiménezRafael JiménezCarmen Jiménez-AlfaroInés JouMaría Dolores JoyaSara Lainez-JustoAntonio LaluezaAna Latorre-DíezJosé Luis LoboLuciano López-JiménezPatricia López-MiguelJuan José López-NúñezRaquel López-ReyesJuan Bosco López-SáezAlicia LorenzoOlga MadridanoAna MaestrePablo Javier MarchenaMar Martín del PozoFrancisco Martín-MartosDiego Martínez-UrbistondoCarmen MellaMaría Isabel MercadoArturo Muñoz-BlancoJosé Antonio NietoManuel Jesús Núñez-FernándezMónica Olid-VelillaSonia OtaloraRemedios OteroDiana Paredes-RuizPedro ParraVirginia ParraJosé María PedrajasMaría Luisa PerisJosé Antonio PorrasJosé PortilloPedro Ruiz-ArtachoNuria Ruiz-GiménezJusto Ruiz-RuizPablo Ruiz-SadaGiorgina SalgueiroRosario Sánchez-MartínezJuan Francisco Sánchez-Muñoz-TorreroTeresa SanchoSilvia SolerBeatriz Suárez-RodríguezJosé María SuriñachCarles TolosaMaría Isabel TorresAndrea Torres-SánchezFernando UresandiBeatriz ValeroReina ValleJosé Felipe VaronaCarmen Vázquez-FriolLaura VelaJerónimo Ramón VelaAurora VillalobosPaula VillaresCarles ZamoraCihan AyStephan NoppIngrid PabingerMatthias EngelenThomas VanasscheHugo Hyung Bok YooJana HirmerovaSandrine AccassatNassim Ait AbdallahAlessandra Bura-RiviereJudith Catella-ChatronFrancis CouturaudBenjamin CrichiPhilippe DebourdeauOlivier EspitiaNicolas FalvoClaire GrangeHélène HelferKarine LacutRaphael Le MaoIsabelle MahéPierre MorangeFarès MoustafaGéraldine PoenouGabrielle Sarlon-BartoliPierre SuchonIsabelle QuereReza NikandishAndrei BraesterGili KenetManuela BasagliaFranca BiloraCristiano BortoluzziBarbara BrandolinMaurizio CiammaichellaChiara CorgnaA. de AngelisEgidio ImbalzanoDaniela MastroiacovoSimona MerlaRaffaele PesaventoFluvio PomeroCarmine SiniscalchiAntonella TufanoAdriana VisonàNgoc Vo HongBeniamino ZalunardoDana KigitovicaElina RusaAndris SkrideSamuel FonsecaFilipa Martins-DuarteJose Meireles
• Organismes : Brigham & Women’s Hospital [Boston] Yale University [New Haven] Cardiovascular Research Foundation [New York, NY, USA] Yale University [New Haven] Universidad Católica San Antonio de Murcia University of Toronto Centre Hospitalier Régional Universitaire [Montpellier] Hospital Clínico Universitario Virgen de la Arrixaca = University Hospital Virgen de la Arrixaca [Murcia] University Hospital Carl Gustav Carus [Dresden, Germany] Universitat Autònoma de Barcelona = Autonomous University of Barcelona = Universidad Autónoma de Barcelona IMIM-Hospital del Mar Hospital Clínico Universitario “Lozano Blesa” [Zaragoza, Spain] Centre Hospitalier Universitaire Vaudois = Lausanne University Hospital [Lausanne] Yale School of Medicine [New Haven, Connecticut] Germans Trias i Pujol University Hospital [Badalona, Barcelona, Spain] Universitat Autònoma de Barcelona = Autonomous University of Barcelona = Universidad Autónoma de Barcelona Università degli Studi di Padova = University of Padua Universidad Católica San Antonio de Murcia Biologie Intégrative du Tissu Osseux Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne]
• Publié dans JAMA Cardiology le 25/10/2020

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Résumé : Importance: Insufficient data exist about the clinical presentation, short-term, and long-term outcomes of patients with isolated distal deep vein thrombosis (IDDVT), that is, thrombosis in infrapopliteal veins without proximal extension or pulmonary embolism (PE). Objective: To determine the clinical characteristics, short-term, and 1-year outcomes in patients with IDDVT and to compare the outcomes in unadjusted and multivariable adjusted analyses with patients who had proximal DVT. Design, setting, and participants: This was a multicenter, international cohort study in participating sites of the Registro Informatizado Enfermedad Tromboembólica (RIETE) registry conducted from March 1, 2001, through February 28, 2021. Patients included in this study had IDDVT. Patients with proximal DVT were identified for comparison. Patients were excluded if they had a history of asymptomatic DVT, upper-extremity DVT, coexisting PE, or COVID-19 infection. Main outcomes and measures: Primary outcomes were 90-day and 1-year mortality, 1-year major bleeding, and 1-year venous thromboembolism (VTE) deterioration, which was defined as subsequent development of proximal DVT or PE. Results: A total of 33 897 patients were identified with isolated DVT (without concomitant PE); 5938 (17.5%) had IDDVT (mean [SD] age, 61 [17] years; 2975 male patients [50.1%]), and 27 959 (82.5%) had proximal DVT (mean [SD] age, 65 [18] years; 14 315 male patients [51.2%]). Compared with individuals with proximal DVT, those with IDDVT had a lower comorbidity burden but were more likely to have had recent surgery or to have received hormonal therapy. Patients with IDDVT had lower risk of 90-day mortality compared with those with proximal DVT (odds ratio [OR], 0.47; 95% CI, 0.40-0.55). Findings were similar in 1-year unadjusted analyses (hazard ratio [HR], 0.52; 95% CI, 0.46-0.59) and adjusted analyses (HR, 0.72; 95% CI, 0.64-0.82). Patients with IDDVT had a lower 1-year hazard of VTE deterioration (HR, 0.83; 95% CI, 0.69-0.99). In 1-year adjusted analyses of patients without an adverse event within the first 3 months, IDDVT was associated with lower risk of VTE deterioration (adjusted HR, 0.48; 95% CI, 0.24-0.97). By 1-year follow-up, symptoms or signs of postthrombotic syndrome were less common in patients with IDDVT (47.6% vs 60.5%). Conclusions and relevance: Results of this cohort study suggest that patients with IDDVT had a less ominous prognosis compared with patients with proximal DVT. Such differences were likely multifactorial, including the differences in demographics, risk factors, comorbidities, particularly for all-cause mortality, and a potential association of thrombus location with VTE deterioration and postthrombotic syndrome. Randomized clinical trials are needed to assess the optimal long-term management of IDDVT.

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