Skip to main content

Microvascular reactivity is altered early in patients with acute respiratory distress syndrome



Acute respiratory distress syndrome (ARDS) is associated with vascular endothelial dysfunction. The resultant microvascular reactivity can be assessed non-invasively using near-infrared spectroscopy (NIRS) and a vascular occlusion test (VOT) and changes have been correlated with severity of organ dysfunction and mortality in other critically ill populations. We used NIRS to study the presence of microcirculatory alterations in patients with ARDS.


We studied 27 healthy volunteers and 32 ARDS patients admitted to our intensive care department. NIRS measurements were performed within 24 h after diagnosis (Berlin definition). VOTs were performed by inflating an arm-cuff to a pressure greater than the systolic pressure for 3 min, followed by rapid deflation. The descending (Desc) and ascending (Asc) thenar muscle oxygen saturation (StO2) slopes were calculated. We compared data from volunteers with those from ARDS patients, from ARDS survivors and non-survivors, and from ARDS survivors who required <7 days ventilatory support (good evolution) with those who required >7 days support or died (poor evolution).


ARDS patients had lower StO2 values [75(67–80) vs 79(76–81) %, p = 0.04] and Asc slopes [185(115–233) vs 258(216–306) %/min, p < 0.01] than healthy volunteers, but Desc slopes were similar. The Asc slope was lower in the patients with a poor evolution than in the other patients [121(90–209) vs 222(170–293) %/min, p < 0.01], and in the non-survivors than in the survivors [95(73–120) vs 212(165–252) %/min, p < 0.01].


In ARDS patients, microvascular reactivity is altered early, and the changes are directly related to the severity of the disease. The ascending slope is the best determinant of outcome.


Acute respiratory distress syndrome (ARDS), defined using the Berlin criteria [1], is diagnosed in 25 to 30 % of patients admitted to the intensive care unit (ICU) who need mechanical ventilation for more than 24 h [2, 3], and is associated with high mortality rates [24] and long term sequelae [5, 6]. The complex pathophysiological alterations include functional and morphological alterations in the pulmonary endothelium [7], which may be correlated with the severity of the disease and outcomes [810].

Different options are available to study this endothelial dysfunction and the microcirculatory alterations that take place during ARDS. Invasive studies can be performed in animals to directly visualize the microcirculation using intra-vital video-microscopy [11]; levels of specific molecules (biomarkers) can be dosed in the plasma or in the bronchoalveolar fluid [12]; biopsies can be performed in selected cases [13]; or anatomo-pathological studies can be performed in the lungs of patients who die [7]. All these approaches have advantages and limitations. In clinical studies, the most invasive techniques can often not be applied and measurement of concentrations of single biomarkers does not reflect the complex underlying pathophysiology [14, 15].

Assessment of complex microvascular responses can now be performed non-invasively at the patient’s bedside using provocative tests of the microcirculation [16]. For example, using near-infrared spectroscopy (NIRS) it is possible to characterize the local muscle oxygen saturation (StO2) by applying the properties of oxy- and deoxy-hemoglobin to infrared light [17]. If the arterial supply to a region is transiently obstructed by a vascular occlusion test (VOT), the rate of decrease in the StO2 (desaturation) is a reflection of local oxygen consumption [18], and the rate of increase (re-saturation) after the VOT is related to the post-occlusive microcirculatory vascular hyperemia [19]. This dynamic test has been used to demonstrate that microvascular reactivity is altered in patients with sepsis [20], multiple organ dysfunction [21], trauma [22], acute heart failure [23], cardiac surgery [24] or after cardiac arrest resuscitation [25] and that the changes are not entirely explained by global hemodynamic variables. However, there are no data currently available in patients with ARDS. We, therefore, used NIRS to evaluate the presence, severity and prognostic implications of early microcirculatory alterations in patients with ARDS.


This prospective, observational, non-invasive, physiological study was conducted in the 35-bed Department of Intensive Care of Erasme University Hospital (Brussels, Belgium). Institutional Ethical Committee approval was obtained, and all volunteers and patients (or their next of kin) provided written informed consent.

Patients and volunteers

Healthy adult volunteers were recruited from the hospital staff. Adult ICU patients with ARDS were enrolled between October 2013 and June 2015 when they fulfilled the Berlin diagnostic criteria [1], including a PaO2/FiO2 ratio ≤ 300 on mechanical ventilation with a positive end-expiratory pressure (PEEP) of at least 5 cmH2O, and the presence of bilateral infiltrates on chest radiography, not explained by cardiogenic edema and in the presence of a risk factor for ARDS. Patients were stratified for severity using the PaO2/FiO2 ratio as recommended [1]. Patients were only included if a researcher was available to perform the NIRS measurements. All patients were managed according to current guidelines by a team of intensivists different from the researchers who performed the NIRS measurements.


The healthy volunteers were placed in a quiet, temperature controlled room within the department of intensive care, where they rested, comfortably seated for at least 15 min before the experiment. Heart rate (HR), respiratory rate (RR) and hemoglobin saturation by pulse oximetry (SpO2) were evaluated non-invasively with a Siemens SC 9000 monitor (Siemens, Erlangen, Germany). Non-invasive measurements of mean arterial pressure (MAP) were obtained on the opposite arm to that used for the NIRS measurements.

All patients were studied within 24 h after the diagnosis of ARDS was made. At the time when the NIRS VOT was performed, we recorded all measured hemodynamic and respiratory parameters from the monitoring systems. Biochemical and laboratory data closest to the time of the VOT were also recorded as was the presence or absence of any sedation. An APACHE II score [26] was calculated using the worst data during the first 24 h in the ICU, and a sequential organ failure assessment (SOFA) score [27] from the data present at the time of the NIRS measurements. We also recorded the duration of mechanical ventilation until definitive weaning from ventilatory support and calculated the ventilator-free days (VFD) at 28-days, giving a value of zero to non-survivors.

Survivors who required less than 7 days (arbitrarily selected) of respiratory support were classified as having a good evolution and those who required more than 7 days of mechanical ventilation or who died as having a poor evolution.

NIRS measurements

StO2 was measured using a near-infrared spectrometer (InSpectra 850 model, Hutchinson Technology, Hutchinson, Minnesota), with a 15 mm-probe attached to a fixed position on the thenar eminence (on the opposite hand from the arm with the invasive arterial line monitoring if present). Healthy volunteers and conscious patients were asked not to move their hand during the procedure. When the StO2 values had been stable for 1 min, we induced a VOT by rapidly inflating a sphygmomanometer cuff wrapped around the ipsilateral arm, to a pressure of 50 mmHg above the systolic arterial pressure for a period of 3 min (time threshold), followed by a rapid deflation. The StO2 curves were then analyzed using dedicated software (In Spectra Software Analyzer version 3.0., Hutchinson Technology). We measured the baseline, minimal and maximal StO2 (StO2base, StO2min and StO2max, respectively) and total hemoglobin index (THI base, THI min and THI max, respectively). We also computed the StO2 ascending (Asc) and descending (Desc) slopes (Fig. 1).

Fig. 1
figure 1

Schematic representation of tissue oxygen saturation (StO2) changes during a vascular occlusion test (VOT)

Statistical analysis

Statistical analysis was performed using SPSS 22.0 (IBM, New York, NY) software. Dependent variables were assessed for normality of distribution using Skewness and Kurtosis tests and Q-Q plots. All values are presented as median values with percentiles (25–75 %), unless otherwise specified. Categorical data are presented as numbers of events and percentages. Comparisons between different cohorts were performed using a t-test, Mann–Whitney U test or Kruskal-Wallis H test as appropriate. Proportions were compared with a Chi square test or Fisher’s exact test as appropriate. A binary logistic regression was performed to identify the role of different variables to predict poor evolution, calculating the odds ratio (OR) and its respective 95 % confidence interval (CI). All variables that presented a p value < 0.1 during the univariate analysis were introduced into a multivariate analysis. We plotted the sensitivities and specificities in receiving operating characteristic (ROC) graphs and the area under the curve (AUC) was calculated for the different variables. A 2-sided p value less than 0.05 was considered as significant for all analyses.


Twenty-seven healthy volunteers were recruited (mean age 30 [range 27–31] years; 15 male) and 32 patients with ARDS (mean age 63 [range 48–71], 21 male). The main demographic, clinical and biochemical characteristics of the volunteers and patients are presented in Table 1. The characteristics of ARDS survivors and non-survivors are shown in Additional file 1: Table S1.

Table 1 Main characteristics of the healthy volunteers and the ARDS patients at the time of the VOT

NIRS derived parameters are shown in Table 2. ARDS patients had lower StO2 values and Asc slope, but not Desc slope, than healthy volunteers. Patients with a poor evolution had a lower NIRS Asc slope than those with a good evolution (Fig. 2a), but StO2 and Desc slope values were not significantly different (Table 2). Likewise, non-survivors had a lower NIRS Asc slope than survivors (Fig. 2b). There were no differences in the Asc slope values according to the cause of ARDS (including sepsis and its severity) (Additional file 1: Figure S1 and S2).

Table 2 NIRS variables in healthy volunteers and ARDS patients
Fig. 2
figure 2

NIRS Asc slope in healthy volunteers and patients with ARDS according to evolution (a) and survival status (b). * = p < 0.05 compared with the volunteers; $ = p < 0.05 compared with patients with good evolution; # = p < 0.05 compared with the survivors

There were no significant differences in the PaO2/FiO2 ratio between patients with a good or poor evolution, or between survivors and non-survivors (Tables 1 and Additional file 1: Table S1). However, ARDS patients with a PaO2/FiO2 ratio < 100 had a lower NIRS Asc slope than those with a PaO2/FiO2 ratio between 201 and 300 (Fig. 3).

Fig. 3
figure 3

NIRS Asc slope in ARDS patients according to their PaO2/FiO2 ratio. * = p < 0.05 compared with the patients with a PaO2/FiO2 ratio between 201–300

The NIRS Asc slope was a better predictor of poor evolution (and of mortality alone) than the PaO2/FiO2 ratio (Fig. 4). This was confirmed in the multivariate analysis in which the NIRS Asc slope was the most significant factor associated with a poor evolution during the ICU stay (Additional file 1: Tables S2 and S3).

Fig. 4
figure 4

Receiver operating characteristic (ROC) curves for Asc slope and PaO2/FiO2 ratio to predict death (right panel) or poor evolution (death or more than 7 days of mechanical ventilation; left panel)


The main finding of our study is that ARDS patients have altered peripheral microvascular reactivity as assessed using NIRS. This alteration is directly related to the severity of the disease characterized as death and/or prolonged need for mechanical ventilation.

The only published data on microcirculatory alterations in humans with acute respiratory failure assessed using non-invasive techniques were reported by our group in a small series of patients with acute lung injury due to Influenza AH1N1 [28]. These patients had diminished capillary density in the sublingual area, with a low proportion of perfused vessels and a reduced microvascular flow index. In the thenar muscle, post-occlusive reactive hyperemia was impaired, as manifest by low values of the Asc slope, similar to those found in septic patients in other studies [2931]. Our current study extends these data to a larger and more heterogeneous population of patients with ARDS.

Half of the patients in our study had sepsis, but microcirculatory alterations detected by NIRS are not pathognomonic of septic conditions. Numerous studies have shown alterations of the Asc slope in septic populations, especially in the presence of shock [20, 29, 30], but low values of the Asc slope have also been observed in other acute conditions (normal values of 288 and 323 %/min have been reported [20, 22]): Gomez et al. reported values of 172 ± 103 %/min in trauma patients [22]; Petroni et al. reported values of 77 ± 42 %/min in patients with severe acute heart failure requiring veno-arterial extracorporeal membrane oxygenation (ECMO) support [23]; Morel et al. reported values of 144 (126–228) %/min 6 h after cardiopulmonary bypass in patients who had undergone cardiac surgery [24]; Donadello et al. reported values of 68 ± 32 %/min in resuscitated cardiac arrest patients after cessation of therapeutic hypothermia [25]; and we previously reported values of 186 ± 89 %/min in patients with circulatory shock of different etiologies [31]. In the present study, patients with septic shock had similar Asc slope values to patients with ARDS of non-septic causes. Although the mechanisms involved in the control of post-occlusive reactive hyperemia (NIRS Asc slope) have not been completely identified and are sometimes controversial [32, 33], it is well known that multiple vasodilator pathways (e.g., nitric oxide and prostaglandins) are necessary to obtain the transient increase in local blood flow [32] and complex inflammatory alterations will have been present in all the populations studied above [20, 2225, 31]. Thus, the NIRS VOT is a functional test of the microcirculation, which measures its reserve (recruitability) under controlled ischemia, and involves multiple pathways.

Our findings suggest that microvascular endothelial dysfunction is present in the earliest stages of ARDS and is correlated with its severity. This concept fits well with the elevated concentrations of various pro-inflammatory molecules seen in patients with ARDS [8, 12, 34] and with autopsy findings revealing an initial pro-inflammatory and exudative phase [7, 35]. Dolinay and colleagues performed a series of experiments in mice and various cohorts of ARDS patients and showed that several inflammasome-regulated cytokines, including interleukin-18, play a major role in the development of ARDS [36]. Orfanos and colleagues demonstrated that severe ARDS was associated with decreased pulmonary capillary endothelium-bound angiotensin converting enzyme (ACE) function in vivo (an indirect marker of endothelial injury) [37]. More recently, Moussa et al. demonstrated that patients with ARDS in the context of sepsis had elevated numbers of circulating endothelial cells (a direct marker of endothelial injury), which were correlated with severity [10].

Early prognostication of outcome in ARDS is challenging. In large databases, the mortality rate is directly related to the severity of the alterations in gas exchange as expressed by the PaO2/FiO2 ratio, but the relationship is not very strong [38, 39], with an AUC of only 0.58 in a recent multicenter study [1]. We used a main combined outcome of death or need for prolonged mechanical ventilation which is essentially the opposite of ventilator-free days [40], but we also observed positive results when mortality was considered alone. Previous investigators have tried to predict similar combined outcomes, but they needed to use clinical data obtained during the first three days of hospitalization [41], rather than just on the first day as in the present study. Other groups have developed scores mixing various clinical and demographic data at admission, but these were not superior to the APACHE II score for predicting mortality [42]. We also observed that those patients who recovered rapidly had a similar Asc slope when compared with volunteers, despite the severe hypoxemia. Additionally, the NIRS Asc slope was the best predictor for death or more than 7 days on mechanical ventilation. Together these observations suggest that performing a NIRS VOT test on the first day of ARDS enables identification of patients at high-risk of poor outcome, potentially creating a target population for the testing of early interventions.

Our study has some limitations. First, it was a monocenter study and patient enrolment depended on researcher availability, although we included a heterogeneous sample of patients with different severities of ARDS. Second, we performed a single measurement and the time course of the Asc slope during subsequent days of treatment may provide additional information, as has been shown in septic patients [20]. Third, our control group was comprised of healthy younger individuals who may have different vascular reactivity to that of ARDS patients. However, we have previously reported that NIRS values are quite similar in control cohorts of patients and in healthy younger volunteers [20, 31]. Our comparison enables the whole spectrum from the normal values of health to those in severe ARDS patients to be considered. Finally, the sample size of our population was small, potentially explaining the non-significant differences in some variables, for example, the norepinephrine doses between patients with good and poor evolution (Table 1) or the NIRS Asc slope in the different groups of PaO2/FiO2 ratios, despite trends in the data. Nevertheless, the clinical relevance of the NIRS Asc slope was higher than that of other studied variables and this variable needs to be investigated further.


In ARDS patients, there is an early, marked alteration in microvascular reactivity, which is directly related to the severity of the disease as reflected by the duration of mechanical ventilation and mortality.


  1. Ranieri VM, Rubenfeld GD, Thompson BT, Ferguson ND, Caldwell E, Fan E, et al. Acute respiratory distress syndrome: the Berlin definition. JAMA. 2012;307:2526–33.

    PubMed  Google Scholar 

  2. 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.

    Article  CAS  PubMed  Google Scholar 

  3. Azevedo LC, Park M, Salluh JI, Rea-Neto A, Souza-Dantas VC, Varaschin P, et al. Clinical outcomes of patients requiring ventilatory support in Brazilian intensive care units: a multicenter, prospective, cohort study. Crit Care. 2013;17:R63.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Mikkelsen ME, Shah CV, Meyer NJ, Gaieski DF, Lyon S, Miltiades AN, et al. The epidemiology of acute respiratory distress syndrome in patients presenting to the emergency department with severe sepsis. Shock. 2013;40:375–81.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Bienvenu OJ, Colantuoni E, Mendez-Tellez PA, Dinglas VD, Shanholtz C, Husain N, et al. Depressive symptoms and impaired physical function after acute lung injury: a 2-year longitudinal study. Am J Respir Crit Care Med. 2012;185:517–24.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Linko R, Suojaranta-Ylinen R, Karlsson S, Ruokonen E, Varpula T, Pettila V. One-year mortality, quality of life and predicted life-time cost-utility in critically ill patients with acute respiratory failure. Crit Care. 2010;14:R60.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Thille AW, Esteban A, Fernandez-Segoviano P, Rodriguez JM, Aramburu JA, Vargas-Errazuriz P, et al. Chronology of histological lesions in acute respiratory distress syndrome with diffuse alveolar damage: a prospective cohort study of clinical autopsies. Lancet Respir Med. 2013;1:395–401.

    Article  PubMed  Google Scholar 

  8. Cross LJ, Matthay MA. Biomarkers in acute lung injury: insights into the pathogenesis of acute lung injury. Crit Care Clin. 2011;27:355–77.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Orfanos SE, Mavrommati I, Korovesi I, Roussos C. Pulmonary endothelium in acute lung injury: from basic science to the critically ill. Intensive Care Med. 2004;30:1702–14.

    Article  CAS  PubMed  Google Scholar 

  10. Moussa MD, Santonocito C, Fagnoul D, Donadello K, Pradier O, Gaussem P, et al. Evaluation of endothelial damage in sepsis-related ARDS using circulating endothelial cells. Intensive Care Med. 2015;41:231–8.

    Article  CAS  PubMed  Google Scholar 

  11. Ivanov KP, Potekhina IL, Alyukhin YS, Melnikova NN. Microcirculation in the lungs: special features of construction and dynamics. Adv Exp Med Biol. 2013;756:197–201.

    Article  CAS  PubMed  Google Scholar 

  12. Schutte H, Lohmeyer J, Rosseau S, Ziegler S, Siebert C, Kielisch H, et al. Bronchoalveolar and systemic cytokine profiles in patients with ARDS, severe pneumonia and cardiogenic pulmonary oedema. Eur Respir J. 1996;9:1858–67.

    Article  CAS  PubMed  Google Scholar 

  13. Patel SR, Karmpaliotis D, Ayas NT, Mark EJ, Wain J, Thompson BT, et al. The role of open-lung biopsy in ARDS. Chest. 2004;125:197–202.

    Article  PubMed  Google Scholar 

  14. Ware LB, Koyama T, Billheimer DD, Wu W, Bernard GR, Thompson BT, et al. Prognostic and pathogenetic value of combining clinical and biochemical indices in patients with acute lung injury. Chest. 2010;137:288–96.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Bhargava M, Becker TL, Viken KJ, Jagtap PD, Dey S, Steinbach MS, et al. Proteomic profiles in acute respiratory distress syndrome differentiates survivors from non-survivors. PLoS One. 2014;9, e109713.

    Article  PubMed  PubMed Central  Google Scholar 

  16. De Backer D, Donadello K, Cortes DO. Monitoring the microcirculation. J Clin Monit Comput. 2012;26:361–6.

    Article  PubMed  Google Scholar 

  17. Mancini DM, Bolinger L, Li H, Kendrick K, Chance B, Wilson JR. Validation of near-infrared spectroscopy in humans. J Appl Physiol (1985). 1994;77:2740–7.

    CAS  Google Scholar 

  18. Van Beekvelt MC, Colier WN, Wevers RA, Van Engelen BG. Performance of near-infrared spectroscopy in measuring local O(2) consumption and blood flow in skeletal muscle. J Appl Physiol (1985). 2001;90:511–9.

    Google Scholar 

  19. Bopp CM, Townsend DK, Barstow TJ. Characterizing near-infrared spectroscopy responses to forearm post-occlusive reactive hyperemia in healthy subjects. Eur J Appl Physiol. 2011;111:2753–61.

    Article  PubMed  Google Scholar 

  20. Creteur J, Carollo T, Soldati G, Buchele G, De Backer D, Vincent JL. The prognostic value of muscle StO2 in septic patients. Intensive Care Med. 2007;33:1549–56.

    Article  PubMed  Google Scholar 

  21. Doerschug KC, Delsing AS, Schmidt GA, Haynes WG. Impairments in microvascular reactivity are related to organ failure in human sepsis. Am J Physiol Heart Circ Physiol. 2007;293:H1065–71.

    Article  CAS  PubMed  Google Scholar 

  22. Gomez H, Torres A, Polanco P, Kim HK, Zenker S, Puyana JC, et al. Use of non-invasive NIRS during a vascular occlusion test to assess dynamic tissue O(2) saturation response. Intensive Care Med. 2008;34:1600–7.

    Article  PubMed  Google Scholar 

  23. Petroni T, Harrois A, Amour J, Lebreton G, Brechot N, Tanaka S, et al. Intra-aortic balloon pump effects on macrocirculation and microcirculation in cardiogenic shock patients supported by venoarterial extracorporeal membrane oxygenation. Crit Care Med. 2014;42:2075–82.

    Article  CAS  PubMed  Google Scholar 

  24. Morel J, Bouchet JB, Vola M, Beraud AM, Clerc M, Awad S, et al. Tissue near infra red spectroscopy change is not correlated with patients’ outcome in elective cardiac surgery. Acta Anaesthesiol Scand. 2014;58:835–42.

    Article  CAS  PubMed  Google Scholar 

  25. Donadello K, Favory R, Salgado-Ribeiro D, Vincent JL, Gottin L, Scolletta S, et al. Sublingual and muscular microcirculatory alterations after cardiac arrest: a pilot study. Resuscitation. 2011;82:690–5.

    Article  PubMed  Google Scholar 

  26. Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: a severity of disease classification system. Crit Care Med. 1985;13:818–29.

    Article  CAS  PubMed  Google Scholar 

  27. Vincent JL, Moreno R, Takala J, Willatts S, De Mendonca A, Bruining H, et al. The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine. Intensive Care Med. 1996;22:707–10.

    Article  CAS  PubMed  Google Scholar 

  28. Salgado DR, Ortiz JA, Favory R, Creteur J, Vincent JL, De Backer D. Microcirculatory abnormalities in patients with severe influenza A (H1N1) infection. Can J Anaesth. 2010;57:940–6.

    Article  PubMed  Google Scholar 

  29. Payen D, Luengo C, Heyer L, Resche-Rigon M, Kerever S, Damoisel C, et al. Is thenar tissue hemoglobin oxygen saturation in septic shock related to macrohemodynamic variables and outcome? Crit Care. 2009;13 Suppl 5:S6.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Shapiro NI, Arnold R, Sherwin R, O’Connor J, Najarro G, Singh S, et al. The association of near-infrared spectroscopy-derived tissue oxygenation measurements with sepsis syndromes, organ dysfunction and mortality in emergency department patients with sepsis. Crit Care. 2011;15:R223.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Orbegozo Cortes D, Puflea F, De Backer D, Creteur J, Vincent JL. Near infrared spectroscopy (NIRS) to assess the effects of local ischemic preconditioning in the muscle of healthy volunteers and critically ill patients. Microvasc Res. 2015;102:25–32.

    Article  PubMed  Google Scholar 

  32. Engelke KA, Halliwill JR, Proctor DN, Dietz NM, Joyner MJ. Contribution of nitric oxide and prostaglandins to reactive hyperemia in human forearm. J Appl Physiol (1985). 1996;81:1807–14.

    CAS  Google Scholar 

  33. Skibsted S, Arnold R, Sherwin R, Singh S, Lundy D, Nelson T, et al. The association of near infrared spectroscopy-derived StO2 measurements and biomarkers of endothelial activation in sepsis. Intern Emerg Med. 2013;8:529–36.

    Article  PubMed  Google Scholar 

  34. Boxer LA, Axtell R, Suchard S. The role of the neutrophil in inflammatory diseases of the lung. Blood Cells. 1990;16:25–40.

    CAS  PubMed  Google Scholar 

  35. Bull TM, Clark B, McFann K, Moss M. Pulmonary vascular dysfunction is associated with poor outcomes in patients with acute lung injury. Am J Respir Crit Care Med. 2010;182:1123–8.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Dolinay T, Kim YS, Howrylak J, Hunninghake GM, An CH, Fredenburgh L, et al. Inflammasome-regulated cytokines are critical mediators of acute lung injury. Am J Respir Crit Care Med. 2012;185:1225–34.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Orfanos SE, Armaganidis A, Glynos C, Psevdi E, Kaltsas P, Sarafidou P, et al. Pulmonary capillary endothelium-bound angiotensin-converting enzyme activity in acute lung injury. Circulation. 2000;102:2011–8.

    Article  CAS  PubMed  Google Scholar 

  38. Caser EB, Zandonade E, Pereira E, Gama AM, Barbas CS. Impact of distinct definitions of acute lung injury on its incidence and outcomes in Brazilian ICUs: prospective evaluation of 7,133 patients. Crit Care Med. 2014;42:574–82.

  39. Hernu R, Wallet F, Thiolliere F, Martin O, Richard JC, Schmitt Z, et al. An attempt to validate the modification of the American-European consensus definition of acute lung injury/acute respiratory distress syndrome by the Berlin definition in a university hospital. Intensive Care Med. 2013;39:2161–70.

  40. Young P, Hodgson C, Dulhunty J, Saxena M, Bailey M, Bellomo R, et al. End points for phase II trials in intensive care: recommendations from the Australian and New Zealand Clinical Trials Group consensus panel meeting. Crit Care Resusc. 2012;14:211–5.

    PubMed  Google Scholar 

  41. Gajic O, Afessa B, Thompson BT, Frutos-Vivar F, Malinchoc M, Rubenfeld GD, et al. Prediction of death and prolonged mechanical ventilation in acute lung injury. Crit Care. 2007;11:R53.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Jegal Y, Lee SI, Lee KH, Oh YM, Shim TS, Lim CM, et al. The clinical efficacy of GOCA scoring system in patients with acute respiratory distress syndrome. J Korean Med Sci. 2008;23:383–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references


Institutional funds only.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Jean-Louis Vincent.

Additional information

Competing interest

The authors declare that they have no competing interest.

Authors’ contributions

DOC, LR, DDB, JC, JLV conceived and designed the study; DOC, LR and CS performed and analyzed all NIRS measurements; DOC, LR, MI and VF screened and collected data from the population; DOC and LR wrote the first draft of the manuscript. DOC, LR, MI, CS, VF, DDB, JC and JLV revised the text for intellectual content. All the co-authors read and approved the final text.

Additional file

Additional file 1: Table S1.

Main characteristics of ARDS survivors and non-survivors. Table S2. Univariate analysis of variables to predict death or more than 7 days of mechanical ventilation. Table S3. Multivariable analysis of variables to predict death or more than 7 days of mechanical ventilation. Figure S1. Comparison of NIRS Asc slope in different groups of ARDS patients. Figure S2. Comparison of NIRS Asc slope in different groups of ARDS patients according to the presence or not of sepsis and septic shock. (DOCX 79 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Orbegozo Cortés, D., Rahmania, L., Irazabal, M. et al. Microvascular reactivity is altered early in patients with acute respiratory distress syndrome. Respir Res 17, 59 (2016).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: