LucangeloU, BlanchL. Dead space. Intensive Care Med, 2004; 30(4):576–579.
2.
MuriasG, BlanchL, LucangeloU. The physiology of ventilation. Respir Care, 2014; 59(11):1795–1807.
3.
Suarez-SipmannF, BohmSH, TusmanG. Volumetric capnography: the time has come. Curr Opin Crit Care, 2014; 20(3):333–339.
4.
DoorduinJ, NolletJL, VugtsMP, RoesthuisLH, AkankanF, van der HoevenJG, et al. Assessment of dead-space ventilation in patients with acute respiratory distress syndrome: a prospective observational study. Crit Care, 2016; 20(1):121.
5.
KipnisE, RamsinghD, BhargavaM, DincerE, CannessonM, BroccardA, et al. Monitoring in the intensive care. Crit Care Res Pract, 2012; 2012:473507. doi: 10.1155/2012/473507.
6.
NucktonTJ, AlonsoJA, KalletRH, DanielBM, PittetJF, EisnerMD, MatthayMA. Pulmonary dead-space fraction as a risk factor for death in the acute respiratory distress syndrome. N Engl J Med, 2002; 346(17):1281–1286.
7.
BrochardL, MartinGS, BlanchL, PelosiP, BeldaFJ, JubranA, et al. Clinical review: respiratory monitoring in the ICU: a consensus of 16. Crit Care, 2012; 16(2):219.
8.
RaurichJM, VilarM, ColomarA, IbáñezJ, AyestaránI, Pérez-BárcenaJ, Llompart-PouJA. Prognostic value of the pulmonary dead-space fraction during the early and intermediate phases of acute respiratory distress syndrome. Respir Care, 2010; 55(3):282–287.
9.
LucangeloU, BernabèF, VatuaS, DegrassiG, VillagràA, FernandezR, et al. Prognostic value of different dead space indices in mechanically ventilated patients with acute lung injury and ARDS. Chest, 2008; 133(1):62–71.
10.
SiddikiH, KojicicM, LiG, YilmazM, ThompsonTB, HubmayrRD, GajicO. Bedside quantification of dead-space fraction using routine clinical data in patients with acute lung injury: secondary analysis of two prospective trials. Crit Care, 2010; 14(4):R141.
11.
KalletRH, ZhuoH, LiuKD, CalfeeCS, MatthayMA. The association between physiologic dead-space fraction and mortality in subjects with ARDS enrolled in a prospective multi-center clinical trial. Respir Care, 2014; 59(11):1611–1618.
12.
KalletRH, ZhuoH, HoK, LipnickMS, GomezA, MatthayMA. Lung injury etiology and other factors influencing the relationship between dead-space fraction and mortality in ARDS. Respir Care 2017 [Epub ahead of print] doi: 10.4187/respcare.05589.
13.
ARDS Definition Task Force, RanieriVM, RubenfeldGD, ThompsonBT, FergusonND, CaldwellE, et al. Acute respiratory distress syndrome: the Berlin definition. JAMA, 2012; 307(23):2526–2533.
14.
ShaverCM, BastaracheJA. Clinical and biological heterogeneity in acute respiratory distress syndrome: direct versus indirect lung injury. Clin Chest Med, 2014; 35(4):639–653.
15.
LuoL, ShaverCM, ZhaoZ, KoyamaT, CalfeeCS, BastaracheJA, WareLB. Clinical predictors of hospital mortality differ between direct and indirect ARDS. Chest, 2017; 151(4):755–763.
16.
CalfeeCS, JanzDR, BernardGR, MayAK, KangelarisKN, MatthayMA, WareLB. Distinct molecular phenotypes of direct vs indirect ARDS in single-center and multicenter studies. Chest, 2015; 147(6):1539–1548.
17.
GattinoniL, PelosiP, SuterPM, PedotoA, VercesiP, LissoniA. Acute respiratory distress syndrome caused by pulmonary and extrapulmonary disease: different syndromes?. Am J Respir Crit Care Med, 1998; 158(1):3–11.
18.
PelosiP, D'OnofrioD, ChiumelloD, PaoloS, ChiaraG, CapelozziVL, et al. Pulmonary and extrapulmonary acute respiratory distress syndrome are different. Eur Respir J Suppl, 2003; 42:48s–56s.
19.
BlanchL, LucangeloU, Lopez-AguilarJ, FernandezR, RomeroPV. Volumetric capnography in patients with acute lung injury: effects of positive end-expiratory pressure. Eur Respir J, 1999; 13(5):1048–1054.
20.
FengmeiG, JinC, SongqiaoL, CongshanY, YiY. Dead space fraction changes during PEEP titration following lung recruitment in patients with ARDS. Respir Care, 2012; 57(10):1578–1585.
21.
BlanchL, FernándezR, BenitoS, ManceboJ, NetA. Effect of PEEP on the arterial minus end-tidal carbon dioxide gradient. Chest, 1987; 92(3):451–454.
22.
CressoniM, CadringherP, ChiurazziC, AminiM, GallazziE, MarinoA, et al. Lung inhomogeneity in patients with acute respiratory distress syndrome. Am J Respir Crit Care Med, 2014; 189(2):149–158.
23.
BeydonL, UttmanL, RawalR, JonsonB. Effects of positive end-expiratory pressure on dead space and its partitions in acute lung injury. Intensive Care Med, 2002; 28(9):1239–1245.
24.
TusmanG, Suarez-SipmannF, BöhmSH, PechT, ReissmannH, MeschinoG, et al. Monitoring dead space during recruitment and PEEP titration in an experimental model. Intensive Care Med, 2006; 32(11):1863–1871.
25.
ChenL, ChenGQ, ShoreK, ShklarO, MartinsC, DevenyiB, et al. Implementing a bedside assessment of respiratory mechanics in patients with acute respiratory distress syndrome. Crit Care, 2017; 21(1):84.
26.
VillarJ, FernándezRL, AmbrósA, ParraL, BlancoJ, Domínguez-BerrotAM, et al. A clinical classification of the acute respiratory distress syndrome for predicting outcome and guiding medical therapy. Crit Care Med, 2015; 43(2):346–353.
27.
GoligherEC, AmatoMBP, SlutskyAS. Applying precision medicine to trial design using physiology: extracorporeal CO2 removal for ARDS. Am J Respir Crit Care Med, 2017. doi: 10.1164/rccm.201701-0248CP.
28.
BuchmanTG, BilliarTR, ElsterE, KirkAD, RimawiRH, VodovotzY, ZehnbauerBA. Precision medicine for critical illness and injury. Crit Care Med, 2016; 44(9):1635–1638.
29.
MasloveDM, LamontagneF, MarshallJC, HeylandDK. A path to precision in the ICU. Crit Care, 2017; 21(1):79.
30.
BlanchL, SalesB, MontanyaJ, LucangeloU, Garcia-EsquirolO, VillagraA, et al. Validation of the Better Care system to detect ineffective efforts during expiration in mechanically ventilated patients: a pilot study. Intensive Care Med, 2012; 38(5):772–780.
BlanchL, VillagraA, SalesB, MontanyaJ, LucangeloU, LujánM, et al. Asynchronies during mechanical ventilation are associated with mortality. Intensive Care Med, 2015; 41(4):633–641.
33.
WangY, KungL, ByrdTA. Big data analytics: understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 2016. doi: 10.1016/j.techfore.2015.12.019.
34.
JaconoFJ, De GeorgiaMA, WilsonCG, DickTE, LoparoKA. Data acquisition and complex systems analysis in critical care: developing the intensive care unit of the future. J Healthcare Engineering, 2010; 1(3):337–355.
