Update in Critical Care Medicine: Evidence Published in 2016
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Abstract
Updates4 April 2017Update in Critical Care Medicine: Evidence Published in 2016Mark Hepokoski, MD and Atul Malhotra, MDMark Hepokoski, MDFrom the University of California, San Diego, La Jolla, California.Search for more papers by this author and Atul Malhotra, MDFrom the University of California, San Diego, La Jolla, California.Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/M17-0138 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail We summarize key articles in critical care medicine published in 2016. We used an informal survey of academic and community intensivists to identify novel articles from high-impact journals that had important effects on clinical practice. In addition, we searched the most accessed journals from the American College of Physicians' JournalWise database to find articles that were particularly relevant to internal medicine clinicians.We included 2 studies on acute respiratory distress syndrome (ARDS) that solidified the need to better understand the epidemiology of this disorder by demonstrating high rates of underrecognition and disparities in care. A novel noninvasive ventilation (NIV) device ...References1. Ranieri VM, Rubenfeld GD, Thompson BT, Ferguson ND, Caldwell E, Fan E, et al; ARDS Definition Task Force. Acute respiratory distress syndrome: the Berlin Definition. JAMA. 2012;307:2526-33. [PMID: 22797452] doi:10.1001/jama.2012.5669 CrossrefMedlineGoogle Scholar2. Malhotra A. Low-tidal-volume ventilation in the acute respiratory distress syndrome. N Engl J Med. 2007;357:1113-20. [PMID: 17855672] CrossrefMedlineGoogle Scholar3. Hepokoski M, Owens RL, Malhotra A, Beitler JR. Mechanical ventilation in acute respiratory distress syndrome at ATS 206: the search for a patient-specific strategy. J Thorac Dis. 206;8 Suppl 7 S550-2. [PMID: 2760609] doi:10.2037/jtd.206.07.42 CrossrefMedlineGoogle Scholar4. Needham DM, Yang T, Dinglas VD, Mendez-Tellez PA, Shanholtz C, Sevransky JE, et al. Timing of low tidal volume ventilation and intensive care unit mortality in acute respiratory distress syndrome. A prospective cohort study. Am J Respir Crit Care Med. 2015;191:177-85. [PMID: 25478681] doi:10.1164/rccm.201409-1598OC CrossrefMedlineGoogle Scholar5. Fröhlich S, Murphy N, Doolan A, Ryan O, Boylan J. Acute respiratory distress syndrome: underrecognition by clinicians. J Crit Care. 2013;28:663-8. [PMID: 23806247] doi:10.1016/j.jcrc.2013.05.012 CrossrefMedlineGoogle Scholar6. Beitler JR, Majumdar R, Hubmayr RD, Malhotra A, Thompson BT, Owens RL, et al. Volume Delivered During Recruitment Maneuver Predicts Lung Stress in Acute Respiratory Distress Syndrome. Crit Care Med. 2016;44:91-9. [PMID: 26474111] doi:10.1097/CCM.0000000000001355 CrossrefMedlineGoogle Scholar7. Ventilation with lower tidal volumes as compared with traditional tidal volumes for acute lung injury and the acute respiratory distress syndrome. The Acute Respiratory Distress Syndrome Network. N Engl J Med. 2000;342:1301-8. [PMID: 10793162] CrossrefMedlineGoogle Scholar8. Guérin C, Reignier J, Richard JC, Beuret P, Gacouin A, Boulain T, et al; PROSEVA Study Group. Prone positioning in severe acute respiratory distress syndrome. N Engl J Med. 2013;368:2159-68. [PMID: 23688302] doi:10.1056/NEJMoa1214103 CrossrefMedlineGoogle Scholar9. Papazian L, Forel JM, Gacouin A, Penot-Ragon C, Perrin G, Loundou A, et al; ACURASYS Study Investigators. Neuromuscular blockers in early acute respiratory distress syndrome. N Engl J Med. 2010;363:1107-16. [PMID: 20843245] doi:10.1056/NEJMoa1005372 CrossrefMedlineGoogle Scholar10. Li G, Malinchoc M, Cartin-Ceba R, Venkata CV, Kor DJ, Peters SG, et al. Eight-year trend of acute respiratory distress syndrome: a population-based study in Olmsted County, Minnesota. Am J Respir Crit Care Med. 2011;183:59-66. [PMID: 20693377] doi:10.1164/rccm.201003-0436OC CrossrefMedlineGoogle Scholar11. Rubenfeld GD, Caldwell E, Peabody E, Weaver J, Martin DP, Neff M, et al. Incidence and outcomes of acute lung injury. N Engl J Med. 2005;353:1685-93. [PMID: 16236739] CrossrefMedlineGoogle Scholar12. Brochard L, Mancebo J, Wysocki M, Lofaso F, Conti G, Rauss A, et al. Noninvasive ventilation for acute exacerbations of chronic obstructive pulmonary disease. N Engl J Med. 1995;333:817-22. [PMID: 7651472] CrossrefMedlineGoogle Scholar13. Vital FM, Ladeira MT, Atallah AN. Non-invasive positive pressure ventilation (CPAP or bilevel NPPV) for cardiogenic pulmonary oedema. Cochrane Database Syst Rev. 2013:CD005351. [PMID: 23728654] doi:10.1002/14651858.CD005351.pub3 CrossrefMedlineGoogle Scholar14. Antonelli M, Conti G, Bufi M, Costa MG, Lappa A, Rocco M, et al. Noninvasive ventilation for treatment of acute respiratory failure in patients undergoing solid organ transplantation: a randomized trial. JAMA. 2000;283:235-41. [PMID: 10634340] CrossrefMedlineGoogle Scholar15. Thille AW, Boissier F, Ben-Ghezala H, Razazi K, Mekontso-Dessap A, Brun-Buisson C, et al. Easily identified at-risk patients for extubation failure may benefit from noninvasive ventilation: a prospective before-after study. Crit Care. 2016;20:48. [PMID: 26926168] doi:10.1186/s13054-016-1228-2 CrossrefMedlineGoogle Scholar16. Nava S, Ferrer M, Esquinas A, Scala R, Groff P, Cosentini R, et al. Palliative use of non-invasive ventilation in end-of-life patients with solid tumours: a randomised feasibility trial. Lancet Oncol. 2013;14:219-27. [PMID: 23406914] doi:10.1016/S1470-2045(13)70009-3 CrossrefMedlineGoogle Scholar17. Delclaux C, L'Her E, Alberti C, Mancebo J, Abroug F, Conti G, et al. Treatment of acute hypoxemic nonhypercapnic respiratory insufficiency with continuous positive airway pressure delivered by a face mask: A randomized controlled trial. JAMA. 2000;284:2352-60. [PMID: 11066186] CrossrefMedlineGoogle Scholar18. Frat JP, Thille AW, Mercat A, Girault C, Ragot S, Perbet S, et al; FLORALI Study Group. High-flow oxygen through nasal cannula in acute hypoxemic respiratory failure. N Engl J Med. 2015;372:2185-96. [PMID: 25981908] doi:10.1056/NEJMoa1503326 CrossrefMedlineGoogle Scholar19. Beitler JR, Owens RL, Malhotra A. Unmasking a Role for Noninvasive Ventilation in Early Acute Respiratory Distress Syndrome [Editorial]. JAMA. 2016;315:2401-3. [PMID: 27179463] doi:10.1001/jama.2016.5987 CrossrefMedlineGoogle Scholar20. Martin DS, Grocott MP. Oxygen therapy in critical illness: precise control of arterial oxygenation and permissive hypoxemia. Crit Care Med. 2013;41:423-32. [PMID: 23263574] doi:10.1097/CCM.0b013e31826a44f6 CrossrefMedlineGoogle Scholar21. Davis WB, Rennard SI, Bitterman PB, Crystal RG. Pulmonary oxygen toxicity. Early reversible changes in human alveolar structures induced by hyperoxia. N Engl J Med. 1983;309:878-83. [PMID: 6888481] MedlineGoogle Scholar22. Crapo JD. Morphologic changes in pulmonary oxygen toxicity. Annu Rev Physiol. 1986;48:721-31. [PMID: 3518622] CrossrefMedlineGoogle Scholar23. Dellinger RP, Levy MM, Rhodes A, Annane D, Gerlach H, Opal SM, et al; Surviving Sepsis Campaign Guidelines Committee including the Pediatric Subgroup. Surviving sepsis campaign: international guidelines for management of severe sepsis and septic shock: 2012. Crit Care Med. 2013;41:580-637. [PMID: 23353941] doi:10.1097/CCM.0b013e31827e83af CrossrefMedlineGoogle Scholar24. Annane D, Bellissant E, Bollaert PE, Briegel J, Keh D, Kupfer Y. Corticosteroids for treating sepsis. Cochrane Database Syst Rev. 2015:CD002243. [PMID: 26633262] doi:10.1002/14651858.CD002243.pub3 CrossrefMedlineGoogle Scholar25. Torres A, Sibila O, Ferrer M, Polverino E, Menendez R, Mensa J, et al. Effect of corticosteroids on treatment failure among hospitalized patients with severe community-acquired pneumonia and high inflammatory response: a randomized clinical trial. JAMA. 2015;313:677-86. [PMID: 25688779] doi:10.1001/jama.2015.88 CrossrefMedlineGoogle Scholar26. Kumar A, Roberts D, Wood KE, Light B, Parrillo JE, Sharma S, et al. Duration of hypotension before initiation of effective antimicrobial therapy is the critical determinant of survival in human septic shock. Crit Care Med. 2006;34:1589-96. [PMID: 16625125] CrossrefMedlineGoogle Scholar27. Yealy DM, Kellum JA, Huang DT, Barnato AE, Weissfeld LA, Pike F, et al; ProCESS Investigators. A randomized trial of protocol-based care for early septic shock. N Engl J Med. 2014;370:1683-93. [PMID: 24635773] doi:10.1056/NEJMoa1401602 CrossrefMedlineGoogle Scholar28. Roberts JA, Paul SK, Akova M, Bassetti M, De Waele JJ, Dimopoulos G, et al; DALI Study. DALI: defining antibiotic levels in intensive care unit patients: are current ß-lactam antibiotic doses sufficient for critically ill patients? Clin Infect Dis. 2014;58:1072-83. [PMID: 24429437] doi:10.1093/cid/ciu027 CrossrefMedlineGoogle Scholar29. Dulhunty JM, Roberts JA, Davis JS, Webb SA, Bellomo R, Gomersall C, et al; BLING II Investigators for the ANZICS Clinical Trials Group *. A Multicenter Randomized Trial of Continuous versus Intermittent ß-Lactam Infusion in Severe Sepsis. Am J Respir Crit Care Med. 2015;192:1298-305. [PMID: 26200166] doi:10.1164/rccm.201505-0857OC CrossrefMedlineGoogle Scholar30. Abdul-Aziz MH, Sulaiman H, Mat-Nor MB, Rai V, Wong KK, Hasan MS, et al. Beta-Lactam Infusion in Severe Sepsis (BLISS): a prospective, two-centre, open-labelled randomised controlled trial of continuous versus intermittent beta-lactam infusion in critically ill patients with severe sepsis. Intensive Care Med. 2016;42:1535-45. [PMID: 26754759] doi:10.1007/s00134-015-4188-0 CrossrefMedlineGoogle Scholar31. Dulhunty JM, Roberts JA, Davis JS, Webb SA, Bellomo R, Gomersall C, et al. Continuous infusion of beta-lactam antibiotics in severe sepsis: a multicenter double-blind, randomized controlled trial. Clin Infect Dis. 2013;56:236-44. [PMID: 23074313] doi:10.1093/cid/cis856 CrossrefMedlineGoogle Scholar32. Qureshi AI. The importance of acute hypertensive response in ICH. Stroke. 2013;44:S67-9. [PMID: 23709735] doi:10.1161/STROKEAHA.111.000758 CrossrefMedlineGoogle Scholar33. Anderson CS, Huang Y, Arima H, Heeley E, Skulina C, Parsons MW, et al; INTERACT Investigators. Effects of early intensive blood pressure-lowering treatment on the growth of hematoma and perihematomal edema in acute intracerebral hemorrhage: the Intensive Blood Pressure Reduction in Acute Cerebral Haemorrhage Trial (INTERACT). Stroke. 2010;41:307-12. [PMID: 20044534] doi:10.1161/STROKEAHA.109.561795 CrossrefMedlineGoogle Scholar34. Cooper S, Janghorbani M, Cooper G. A decade of in-hospital resuscitation: outcomes and prediction of survival? Resuscitation. 2006;68:231-7. [PMID: 16325314] CrossrefMedlineGoogle Scholar35. Karvellas CJ, Farhat MR, Sajjad I, Mogensen SS, Leung AA, Wald R, et al. A comparison of early versus late initiation of renal replacement therapy in critically ill patients with acute kidney injury: a systematic review and meta-analysis. Crit Care. 2011;15:R72. [PMID: 21352532] doi:10.1186/cc10061 CrossrefMedlineGoogle Scholar36. Wald R, Adhikari NK, Smith OM, Weir MA, Pope K, Cohen A, et al; Canadian Critical Care Trials Group. Comparison of standard and accelerated initiation of renal replacement therapy in acute kidney injury. Kidney Int. 2015;88:897-904. [PMID: 26154928] doi:10.1038/ki.2015.184 CrossrefMedlineGoogle Scholar37. Moss M, Good VS, Gozal D, Kleinpell R, Sessler CN. A Critical Care Societies Collaborative Statement: Burnout Syndrome in Critical Care Health-care Professionals. A Call for Action. Am J Respir Crit Care Med. 2016;194:106-13. [PMID: 27367887] doi:10.1164/rccm.201604-0708ST CrossrefMedlineGoogle Scholar Author, Article, and Disclosure InformationAffiliations: From the University of California, San Diego, La Jolla, California.Disclosures: Dr. Hepokoski is funded by T32 DK104717 (primary investigator, Joachim Ix) outside the submitted work. Dr. Malhotra is primary investigator on RO1 HL085188, K24-HL132105, and T32 HL134632 outside the submitted work. Dr. Malhotra has relinquished all outside personal income since 2012 as an officer of the American Thoracic Society. Disclosures can also be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M17-0138.Corresponding Author: Mark Hepokoski, MD, Division of Pulmonary, Critical Care and Sleep Medicine, University of California, San Diego, 9300 Campus Point Drive, La Jolla, CA 92037; e-mail, [email protected]edu.Current Author Addresses: Drs. Hepokoski and Malhotra: Division of Pulmonary, Critical Care and Sleep Medicine, University of California, San Diego, 9300 Campus Point Drive, La Jolla, CA 92037.Author Contributions: Conception and design: M. Hepokoski, A. Malhotra.Analysis and interpretation of the data: M. Hepokoski.Drafting of the article: M. Hepokoski, A. Malhotra.Critical revision for important intellectual content: M. Hepokoski.Final approval of the article: M. Hepokoski, A. Malhotra.Administrative, technical, or logistic support: M. Hepokoski.Collection and assembly of data: M. Hepokoski.This article was published at Annals.org on 30 March 2017. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetails Metrics 4 April 2017Volume 166, Issue 7Page: W20-W26KeywordsAcute respiratory distress syndromeAntibioticsBlood pressureHeartIntensive care unitsMortalityOxygenRandomized trialsSepsisShock ePublished: 30 March 2017 Issue Published: 4 April 2017 Copyright & PermissionsCopyright © 2017 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.063 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.023 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.052 | 0.011 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".