Intensive Care and Critical Care Medicine

  1. Unsupervised clustering reveals phenotypes of AKI in ICU COVID-19 patients

    1. David Legouis
    2. Gilles Criton
    3. Benjamin Assouline
    4. Christophe Le Terrier
    5. Sebastian Sgardello
    6. Jérôme Pugin
    7. Elisa Marchi
    8. Frédéric Sangla

    Reviewed by ScreenIT

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  2. GWAS and meta-analysis identifies multiple new genetic mechanisms underlying severe Covid-19

    1. Erola Pairo-Castineira
    2. Konrad Rawlik
    3. Lucija Klaric
    4. Athanasios Kousathanas
    5. Anne Richmond
    6. Jonathan Millar
    7. Clark D Russell
    8. Tomas Malinauskas
    9. Ryan Thwaites
    10. Alex Stuckey
    11. Christopher A Odhams
    12. Susan Walker
    13. Fiona Griffiths
    14. Wilna Oosthuyzen
    15. Kirstie Morrice
    16. Sean Keating
    17. Alistair Nichol
    18. Malcolm G Semple
    19. Julian Knight
    20. Manu Shankar-Hari
    21. Charlotte Summers
    22. Charles Hinds
    23. Peter Horby
    24. Lowell Ling
    25. Danny McAuley
    26. Hugh Montgomery
    27. Peter J.M. Openshaw
    28. Timothy Walsh
    29. Albert Tenesa
    30. GenOMICC Investigators
    31. SCOURGE Consortium
    32. ISARIC4C Investigators
    33. 23andMe
    34. Richard H Scott
    35. Mark J Caulfield
    36. Loukas Moutsianas
    37. Chris P Ponting
    38. James F Wilson
    39. Veronique Vitart
    40. Alexandre C Pereira
    41. Andre Luchessi
    42. Esteban Parra
    43. Raquel Cruz-Guerrero
    44. Angel Carracedo
    45. Angie Fawkes
    46. Lee Murphy
    47. Kathy Rowan
    48. Andy Law
    49. Sara Clohisey Hendry
    50. J. Kenneth Baillie

    Reviewed by ScreenIT

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  3. Transcriptomic clustering of critically ill COVID-19 patients

    1. Cecilia López-Martínez
    2. Paula Martín-Vicente
    3. Juan Gómez de Oña
    4. Inés López-Alonso
    5. Helena Gil-Peña
    6. Elías Cuesta-Llavona
    7. Margarita Fernández-Rodríguez
    8. Irene Crespo
    9. Estefanía Salgado del Riego
    10. Raquel Rodríguez-García
    11. Diego Parra
    12. Javier Fernández
    13. Javier Rodríguez-Carrio
    14. Francisco José Jimeno-Demuth
    15. Alberto Dávalos
    16. Luis A. Chapado
    17. Eliecer Coto
    18. Guillermo M. Albaiceta
    19. Laura Amado-Rodríguez

    Reviewed by ScreenIT

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  4. Medium-term impacts of the waves of the COVID-19 epidemic on treatments for non-COVID-19 patients in intensive care units: A retrospective cohort study in Japan

    1. Shusuke Watanabe
    2. Jung-ho Shin
    3. Takuya Okuno
    4. Tetsuji Morishita
    5. Daisuke Takada
    6. Susumu Kunisawa
    7. Yuichi Imanaka

    Reviewed by ScreenIT

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  5. Validation of the RT-LAMP assay in a large cohort of nasopharyngeal swab samples shows that it is a useful screening method for detecting SARS-CoV-2 and its VOC variants

    1. Mireya Cisneros-Villanueva
    2. Sugela Blancas
    3. Alberto Cedro-Tanda
    4. Magdalena Ríos-Romero
    5. Eduardo Hurtado-Córdova
    6. Oscar Almaraz-Rojas
    7. Diana R. Ortiz-Soriano
    8. Víctor Álvarez-Hernández
    9. Ivonne E. Arriaga-Guzmán
    10. Laura Tolentino-García
    11. Antonia Sánchez-Vizcarra
    12. Laura F. Lozada-Rodríguez
    13. Irlanda Peralta-Arrieta
    14. José E. Pérez-Aquino
    15. Marco A. Andonegui-Elguera
    16. Mariana Cendejas-Orozco
    17. Alfredo Mendoza-Vargas
    18. Juan P. Reyes-Grajeda
    19. Abraham Campos-Romero
    20. Jonathan Alcantar-Fernández
    21. José Luis Moreno-Camacho
    22. Jorge Gallegos-Rodriguez
    23. Marco Esparza-Luna-Ruiz
    24. Jesus Ortiz-Ramirez
    25. Mariana Benitez Gonzalez
    26. Laura Uribe-Figueroa
    27. Rosaura Ruiz
    28. Ofelia Angulo
    29. Luis A. Herrera
    30. Alfredo Hidalgo-Miranda

    Reviewed by ScreenIT

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  6. Cardiovascular signatures of COVID-19 predict mortality and identify barrier stabilizing therapies

    1. Dakota Gustafson
    2. Michelle Ngai
    3. Ruilin Wu
    4. Huayun Hou
    5. Alice Carvalhal Schoffel
    6. Clara Erice
    7. Serena Mandla
    8. Filio Billia
    9. Michael D. Wilson
    10. Milica Radisic
    11. Eddy Fan
    12. Uriel Trahtemberg
    13. Andrew Baker
    14. Chris McIntosh
    15. Chun-Po S. Fan
    16. Claudia C. dos Santos
    17. Kevin C. Kain
    18. Kate Hanneman
    19. Paaladinesh Thavendiranathan
    20. Jason E. Fish
    21. Kathryn L. Howe

    Reviewed by ScreenIT

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  7. Viral Cultures for Assessing Airborne Transmission of SARs-CoV-2: a Systematic Review Protocol (version 1)

    1. Carl J. Heneghan
    2. Elizabeth A. Spencer
    3. Jon Brassey
    4. Elena C. Rosca
    5. Annette Plüddemann
    6. David H. Evans
    7. John M. Conly
    8. Susanna Maltoni
    9. Tom Jefferson
    10. Igho J. Onakpoya

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  8. EPIDEMIOLOGICAL CHARACTERISTICS AND SEVERITY OF OMICRON VARIANT CASES IN THE APHP CRITICAL CARE UNITS

    1. Antoine Vieillard-Baron
    2. Rémi Flicoteaux
    3. Maud Salmona
    4. Djillali Annane
    5. Soufia Ayed
    6. Elie Azoulay
    7. Raphael Bellaiche
    8. Sadek Beloucif
    9. Enora Berti
    10. Astrid Bertier
    11. Sébastien Besset
    12. Marlène Bret
    13. Alain Cariou
    14. Christophe Carpentier
    15. Oussama Chaouch
    16. Appoline Chariot
    17. Cyril Charron
    18. Julien Charpentier
    19. Cherifa Cheurfa
    20. Bernard Cholley
    21. Sébastien Clerc
    22. Alain Combes
    23. Benjamin Chousterman
    24. Yves Cohen
    25. Jean-Michel Constantin
    26. Charles Damoisel
    27. Michael Darmon
    28. Vincent Degos
    29. Bertrand De Maupeou D’Ableiges
    30. Sophie Demeret
    31. Etienne De Montmollin
    32. Alexandre Demoule
    33. Francois Depret
    34. Jean-Luc Diehl
    35. Michel Djibré
    36. Chung-Hi Do
    37. Emmanuel Dudoignon
    38. Jacques Duranteau
    39. Muriel Fartoukh
    40. Fabienne Fieux
    41. Etienne Gayat
    42. Mael Gennequin
    43. Bertrand Guidet
    44. Christophe Gutton
    45. Sophie Hamada
    46. Nicholas Heming
    47. Romain Jouffroy
    48. Hawa Keita-Meyer
    49. Olivier Langeron
    50. Brice Lortat-Jacob
    51. Jonathan Marey
    52. Alexandre Mebazaa
    53. Bruno Megarbane
    54. Armand Mekontso-Dessap
    55. Jean-Paul Mira
    56. Julie Molle
    57. Nicolas Mongardon
    58. Philippe Montravers
    59. Capucine Morelot-Panzini
    60. Safaa Nemlaghi
    61. Bao-long Nguyen
    62. Antoine Parrot
    63. Romain Pasqualotto
    64. Nicolas Peron
    65. Lucile Picard
    66. Marc Pineton de Chambrun
    67. Benjamin Planquette
    68. Benoit Plaud
    69. Stéphanie Pons
    70. Christophe Quesnel
    71. Jean-Herlé Raphalen
    72. Keyvan Razazi
    73. Jean-Damien Ricard
    74. Anne Roche
    75. Benjamin Rohaut
    76. Damien Roux
    77. Laurent Savale
    78. Jennifer Sobotka
    79. Jean-Louis Teboul
    80. Jean-François Timsit
    81. Guillaume Voiriot
    82. Emmanuel Weiss
    83. Lucille Wildenberg
    84. Elie Zogheib
    85. Bruno Riou
    86. Frédéric Batteux

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  9. Early alveolar epithelial cell necrosis is a potential driver of COVID-19-induced acute respiratory distress syndrome

    1. Kentaro Tojo
    2. Natsuhiro Yamamoto
    3. Nao Tamada
    4. Takahiro Mihara
    5. Miyo Abe
    6. Mototsugu Nishii
    7. Ichiro Takeuchi
    8. Takahisa Goto

    Reviewed by ScreenIT

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  10. PRICE COVID19 Data Report December 2021 Pakistan Registry of Intensive Care

    1. Ahmed farooq
    2. Rahatullah Arsalan
    3. Mufti Kulsoom Aisha
    4. Asim Muhammad
    5. Muhammad Hayat
    6. Aneela Altaf
    7. Arshad Taqi
    8. Ashok Kumar
    9. Attaur Rehman
    10. Fakhir Raza Haidri
    11. Iqbal Hussain
    12. Mobin Chaudhry
    13. Safdar Rehman
    14. Irfan Malik
    15. Jodat Saleem
    16. Liaquat Ali
    17. Muhammad Ashraf Zia
    18. Maria Ali Khan
    19. Mohiuddin Sheikh
    20. Muhammad Sheharyar Ashraf
    21. Muhammad Asim Rana
    22. Muhammad Nasir Khoso
    23. Saadiya Rizvi
    24. Naseem Ali Shaikh
    25. Nawal Salahuddin
    26. Qurat-ul-Ain Khan
    27. Rana Imran Sikander
    28. Syed Muneeb Ali
    29. Rashid Nasim Khan
    30. Sairah Babar
    31. Abigail Beane
    32. Arjen M Dondorp
    33. Chamira Kodippily
    34. Dilanthi Priyadarshani
    35. Ishara Udayanga
    36. Pramodya Ishani
    37. Sri Darshana
    38. Thalha Rashan
    39. Rashan Haniffa
    40. Srinivas Murthy
    41. Madiha Hashmi

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