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Annals of Intensive Care logoLink to Annals of Intensive Care
. 2019 Dec 3;9:135. doi: 10.1186/s13613-019-0609-5

IgM-enriched immunoglobulins (Pentaglobin) may improve the microcirculation in sepsis: a pilot randomized trial

Roberta Domizi 1, Erica Adrario 1, Elisa Damiani 1, Claudia Scorcella 1, Andrea Carsetti 1, Paolo Giaccaglia 1, Erika Casarotta 1, Vincenzo Gabbanelli 1, Simona Pantanetti 1, Elena Lamura 2, Silvia Ciucani 1, Abele Donati 1,
PMCID: PMC6890901  PMID: 31797105

Abstract

Background

Polyclonal or IgM-enriched immunoglobulins may be beneficial during sepsis as an adjuvant immunomodulatory therapy. We aimed to test whether the infusion of IgM-enriched immunoglobulins improves microvascular perfusion during sepsis.

Methods

Single-centre, randomized, double-blind, placebo-controlled phase II trial including adult patients with a diagnosis of sepsis or septic shock for less than 24 h. Patients received an intravenous infusion of 250 mg/kg (5 mL/kg) per day of IgM-enriched immunoglobulins (Pentaglobin, n = 10) for 72 h or placebo (NaCl 0.9%, n = 9). At baseline and after 24 and 72 h of infusion, the sublingual microcirculation was assessed with Incident Dark Field videomicroscopy. Thenar near-infrared spectroscopy (NIRS) was applied with a vascular occlusion test to assess tissue oxygenation and microvascular reactivity. Levels of interleukin (IL) 1-beta, IL-6, IL-8, IL-10 and tumour necrosis factor alpha were measured in the serum.

Results

The perfused vessel density (PVD) for small vessels (diameter < 20 micron) increased in the Pentaglobin group (from 21.7 ± 4.7 to 25.5 ± 5.1 mm/mm2) and decreased in the placebo group (from 25 ± 5.8 to 20.7 ± 4.1 mm/mm2, p for interaction < 0.001, two-way analysis of variance). The absolute between-group difference at 72 h was 4.77 (standard error 2.34), p = 0.140. The microvascular flow index for small vessels increased at 24 h in the Pentaglobin group (from 2.68 [2.38–2.78] to 2.93 [2.82–3], p < 0.01) and decreased at 72 h in the placebo group (from 2.83 [2.60–2.97] to 2.67 [2.48–2.73], p < 0.05). Changes in general parameters, cytokines and NIRS-derived parameters were similar between the two groups, except for IL-6 and IL-10 that significantly decreased at 72 h only in the Pentaglobin group.

Conclusions

A 72-h infusion of IgM-enriched immunoglobulins (Pentaglobin) in patients with sepsis or septic shock may be associated with an increase in sublingual microvascular perfusion. Further studies are needed to confirm our findings.

Trial registration NCT02655133, www.ClinicalTrials.gov, date of registration 7th January 2016, https://www.clinicaltrials.gov/ct2/show/NCT02655133.

Keywords: Immunoglobulins, Pentaglobin, Sepsis, Microcirculation, Immunomodulation

Background

Sepsis is a major healthcare problem, with high mortality and morbidity: even if some reports showed a decline in crude hospital mortality in the last decade [1], sepsis survivors remain at higher risk of infections, cardiovascular events, acute renal failure or the development of new physical disability or cognitive impairment [2]. At present, sepsis treatment is non-specific and mainly based on antibiotics and hemodynamic support [3].

Sepsis is characterized by a dysregulated host response to an infection, with uncontrolled activation of both pro- and anti-inflammatory pathways [4]. Increasing evidence suggests that a state of immunoparalysis is mainly responsible for adverse outcome. A recent meta-analysis showed a significant reduction in circulating B cells and immunoglobulin M (IgM) levels in sepsis non-survivors as compared to survivors [5]. The administration of polyclonal or IgM-enriched immunoglobulins as an adjuvant immunomodulatory therapy gave encouraging results in both pre-clinical and clinical studies [6], although the evidence supporting a reduction in mortality is still too weak to justify a widespread use in septic patients [7]. The potential benefits of immunoglobulins (especially IgM-enriched preparations) are related not only to their anti-inflammatory activity (pathogen recognition and clearance, toxin scavenging, inhibition of inflammatory mediators production, cytokine neutralization, complement-scavenging properties) but also to their anti-apoptotic effects on immune cells [8]. Pre-clinical studies showed a potential role in the regulation of endothelial cell function, leukocyte adhesion and capillary perfusion [9, 10]. Nonetheless, no clinical studies exist that evaluated the microvascular effects of immunoglobulins in septic patients.

We hypothesized that the intravenous administration of IgM-enriched immunoglobulins in patients with sepsis as an adjunctive therapy could improve microvascular perfusion. This may result in better tissue oxygenation and preserved organ function. The primary goal of this study was to evaluate whether the infusion of IgM-enriched immunoglobulins was able to increase the sublingual perfused vessel density (PVD) after 72 h as compared to a placebo. Secondary endpoints were parameters of microcirculatory flow quality, peripheral (skeletal muscle) tissue oxygenation and microvascular reactivity.

Methods

This single-centre, randomized, double-blind, placebo-controlled phase II trial was conducted in the Intensive Care Unit of Azienda Ospedaliera Universitaria “Ospedali Riuniti” of Ancona in Italy. The study protocol was approved by the local ethics committee (Comitato Etico Regionale Marche) and registered in www.ClinicalTrials.gov (Identifier: NCT02655133, date of registration 7th January 2016, https://www.clinicaltrials.gov/ct2/show/NCT02655133). Written informed consent was obtained before enrolment from all patients or their legal representatives in accordance with current Italian legislation. A deferred consent procedure was applied in case of temporary inability.

This manuscript adheres to the 2010 Consolidated Standards of Reporting Trials statement.

Participants

We included adult (≥ 18 years old) patients with severe sepsis or septic shock according to the 2001 International Sepsis Definition Conference criteria [11], as the original study protocol was approved before the publication of the Sepsis-3 definitions [12]. Severe sepsis was defined by the presence of at least one sepsis-induced organ dysfunction; septic shock was defined as persistent hypotension despite adequate fluid resuscitation, requiring vasopressor infusion [11]. Nonetheless, the term “sepsis” (instead of severe sepsis) will be used hereafter, as the current concept of sepsis now includes the presence of an organ dysfunction induced by a dysregulated response to infection [12]. In addition, the term “septic shock” will refer to a condition of persistent arterial hypotension despite adequate fluid resuscitation and lactate levels > 2 mmol/L, based on the current definition [12]. All patients were enrolled within the first 24 h of sepsis development. Exclusion criteria were: contraindications to immunoglobulin treatment; sepsis/septic shock for more than 24 h; history of chronic renal failure; life expectancy < 24 h; lack of informed consent; pregnancy; factors impeding the sublingual microcirculation evaluation (recent oral surgery or maxillo-facial trauma); inclusion in other interventional studies. Patients with a history of chronic renal failure were excluded since previous studies showed a higher risk of osmotic-induced renal damage following intravenous immunoglobulins infusion in those with pre-existing renal insufficiency [13].

Interventions

Patients were randomly assigned to one of two study groups. Patients in the Pentaglobin group received 250 mg/kg (5 mL/kg) per day of IgM-enriched immunoglobulins (Pentaglobin, Biotest Pharma GmbH, Dreieich, Germany) as a continuous intravenous infusion for 72 h. Patients in the placebo group received the same volume of normal saline solution (NaCl 0.9%) within a period of 72 h. Saline solution was chosen as the placebo treatment as being an inert substance with no expected biological effect at the volume infused in this study. A simple randomization was performed by a pharmacist through sealed envelopes with a 1:1 allocation ratio. The study treatment or placebo was then provided by the Hospital Pharmacy in identical bottles masked in opaque green plastic bags: neither the attending physicians nor the investigators nor the patient were aware of the study group. All other therapies (including fluids and vasoactive agents) were provided according to individual needs and based on the Surviving Sepsis Campaign guidelines [3].

Measurements

All measurements were performed at baseline, 24 h after starting Pentaglobin/placebo infusion and at the end of infusion (72 h). Mean arterial pressure (MAP), heart rate (HR) and norepinephrine requirements were recorded. Arterial and central venous blood samples were collected in order to measure blood gases, arterial lactate, haemoglobin (Hb), white blood cell (WBC) count, procalcitonin, interleukin (IL) 1 beta, IL-6, IL-8, IL-10, tumour necrosis factor alpha (TNF-α). The Simplified Acute Physiology Score (SAPS) II, Acute Physiology and Chronic Health Evaluation (APACHE) II score were obtained at admission, and Sequential Organ Failure Assessment (SOFA) score at the study time-points.

The sublingual microcirculation was evaluated by means of incident dark field (IDF) videomicroscopy (Cytocam, Braedius Medical, Amsterdam, The Netherlands). The Cytocam-IDF is a third-generation handheld microscope that enables real-time in vivo visualization of the microcirculation. It consists of an illumination unit based on IDF imaging with a 4× magnification lens. The illumination light is emitted with a short pulse time of 2 ms (synchronized with a computer-controlled image sensor) and a wavelength of 548 nm, ensuring the highest absorption of oxyhaemoglobin and deoxyhaemoglobin, whereby flowing red blood cells are visible within the vessels as dark moving globules against a clear background [14]. After removal of secretions with a gauze, the probe was gently applied on the sublingual mucosa. At least 5 videos from different areas were recorded with adequate contrast and focus, and all efforts were made to avoid pressure artifacts. The image quality was checked offline [15], and videos of inadequate quality were discarded. Three videos per time-point were analysed offline with dedicated software (Automated Vascular Analysis 3.2, Microvision Medical, Amsterdam, NL) [16]. In brief, the image was divided by three equidistant horizontal and three equidistant vertical lines; the De Backer score was calculated as the number of vessels crossing the lines divided by the total length of the lines. For each vessel crossing the lines, perfusion was categorized as continuous, sluggish, intermittent or absent. The percentage of perfused vessels (PPV) was estimated as follows: 100 * [(total number of grid crossings − [no flow + intermittent flow])/total number of grid crossings] [16]. The total vessel density (TVD) was calculated as the total length of vessels divided by the total area of the image. The perfused vessel density (PVD) was estimated by multiplying TVD by PPV as estimated with the De Backer method. The microvascular flow index (MFI) was calculated semiquantitatively as described elsewhere [16]. The flow heterogeneity index (FHI) was also calculated as the highest MFI minus the lowest MFI, divided by the mean MFI, providing an index of heterogeneous microcirculatory perfusion [16]. The analysis was focused on small vessels (≤ 20 µ in diameter).

Near-infrared spectroscopy (NIRS) (InSpectra™ Model 650; Hutchinson Technology Inc., Hutchinson, MN, USA) with a 15-mm-sized probe was used to measure microvascular oxygen saturation (StO2) and tissue Hb index (THI) on the thenar eminence at baseline and during a vascular occlusion test (VOT) [17]. The StO2 downslope (%/min) was calculated as an index of oxygen consumption, while the StO2 upslope (%/min) and the area under the curve (AUC) of the hyperemic response were obtained to assess microvascular reactivity [17].

Sample size calculation

The sample size was calculated based on the primary outcome of the study, i.e. we hypothesized that the infusion of Pentaglobin would be able to induce an increase in the PVD at 72 h. We calculated that the inclusion of 9 patients per group would be sufficient to detect a difference of at least 4 mm/mm2 (standard deviation: 3 mm/mm2) [18] between the two groups at 72 h with a power of 80% and an alpha error of 0.05. Ten patients per group were enrolled in total to allow for dropouts.

Statistical analysis

This was performed using GraphPad Prism version 6 (GraphPad Software, La Jolla, CA, USA) and IBM Statistical Package for Social Science version 21 (Armonk, NY: IBM Corp.). Normality of distribution was checked using the Kolmogorov–Smirnov test. The data were expressed as mean ± standard deviation (SD) for normally distributed variables or median [1st–3rd quartiles] for non-normally distributed variables. For normally distributed variables, we applied a two-way analysis of variance (ANOVA) for repeated measures to test the effect of treatment (Pentaglobin versus Placebo) and time on the variables of interest. A Sidack’s post hoc test was used for multiple comparisons. For non-normally distributed variables, the Mann–Whitney U test was applied to evaluate differences between the two groups at each time-point and the Friedman test with the Dunn’s test for multiple comparisons was applied to evaluate differences between time-points in each group. Since we found significant inter-individual variability in microcirculatory parameters at baseline, we performed a secondary analysis by calculating the delta values (changes from baseline at 24 and 72 h) in each group and performed an analysis of covariance (ANCOVA) for repeated measures to evaluate the interaction between the factors “time” and “treatment” by controlling for the baseline value of the outcome of interest (in order to correct for the “regression to the mean” phenomenon), with the Bonferroni post hoc test to assess differences between the two group at each time-point. The Pearson r (or the Spearman rho) was calculated to evaluate correlation between variables. A two-tailed p < 0.05 was used to define statistical significance.

Results

From January 2016 to December 2017, 20 patients were enrolled in the study and randomized to receive Pentaglobin or placebo. One patient in the placebo group died 18 h after randomization, leaving 19 patients in total for the final analysis (Fig. 1).

Fig. 1.

Fig. 1

Study flow chart

Baseline characteristics for the two study groups are reported in Table 1.

Table 1.

Baseline characteristics

Patient demographics Pentaglobin (n = 10) Placebo (n = 9) p
Age (years) 62 ± 20 67 ± 16 0.545
Gender (nr of males, %) 7 (70%) 8 (89%) 0.582
Comorbidities (n, %) 0.659
Arterial hypertension 4 (40%) 3 (33%)
Cardiopathy 1 (10%) 1 (11%)
Diabetes 2 (20%) 1 (11%)
Malignancy 3 (30%) 2 (22%)
SAPS II (admission) 42 ± 17 45 ± 12 0.690
APACHE II (admission) 17 ± 8 21 ± 7 0.243
SOFA (admission) 9 ± 4 10 ± 3 0.663
Source of sepsis (n, %) 0.532
Abdominal 4 (40%) 2 (22%)
Pulmonary 3 (30%) 2 (22%)
Uro-genital 1 (10%) 3 (33%)
Soft tissues 1 (10%) 2 (22%)
Other 1 (10%) 0 (0%)
Multi-drug-resistant pathogen (n, %) 4 (40%) 5 (56%) 0.656
Shocka (n, %) 3 (30%) 2 (22%) 0.999

SAPS Simplified Acute Physiology Score, APACHE Acute Physiology and Chronic Health Evaluation, SOFA Sequential Organ Failure Assessment

aPersistent arterial hypotension despite adequate fluid resuscitation and hyperlactatemia (lactate levels > 2 mmol/L)

Changes in sublingual microvascular and NIRS-derived parameters are shown in Fig. 2 and Table 2. A two-way ANOVA showed a significant interaction effect of treatment and time on the PVD with an F ratio of F (degree of freedom = 2, error = 34) = 9.84 (p < 0.001). The Sidack’s post hoc test showed that the PVD was increased at 72 h in the Pentaglobin group (p < 0.05 versus baseline), while it was reduced in the Placebo group (p < 0.01 versus baseline). The between-group comparison at 72 h showed an absolute difference of 4.77 (standard error = 2.34), p = 0.140 (Student’s t test, p = 0.039). A comparison of delta values (adjusted for the baseline value) showed opposite variations of the PVD at 72 h (Pentaglobin: +3.8 ± 3.8, versus Placebo: − 4.2 ± 4.7, p = 0.003, Additional file 1, Fig. 3). The MFI was increased at 24 h in the Pentaglobin group, while it decreased at 72 h in the placebo group (Fig. 2, Table 2) and the comparison of delta values showed divergent changes at 72 h (+ 0.2 ± 0.2 versus − 0.2 ± 0.2, p = 0.035, Additional file 1). The PPV was higher in the Pentaglobin group as compared to the placebo group at 72 h (Fig. 2); however, variations from baseline did not differ between the two groups (Additional file 1). An example of sublingual microcirculation before and 72 h after Pentaglobin infusion is shown in Fig. 4.

Fig. 2.

Fig. 2

Comparison of microcirculatory and NIRS-derived parameters. Data are expressed as mean and standard deviation of median [interquartile range]; lines indicate individual changes. *p < 0.05, **p < 0.01 versus baseline, Two-way ANOVA for repeated measures with Sidack’s post hoc test or Friedman test with Bonferroni post hoc test, as appropriate. #p < 0.05 versus placebo, Two-way ANOVA for repeated measures with Sidack’s post hoc test or Mann–Whitney U test, as appropriate

Table 2.

Changes in sublingual microcirculation and NIRS-derived parameters

Baseline 24 h 72 h p (time)a p (interaction)b
PVDs (mm/mm2) 0.869 < 0.001
 Pentaglobin (n = 10) 21.7 ± 4.7 23.4 ± 6.0 25.5 ± 5.1*
 Placebo (n = 9) 25.0 ± 5.8 23.8 ± 4.4 20.7 ± 4.1**
MFIs (AU)
 Pentaglobin (n = 10) 2.68 [2.38–2.78] 2.93 [2.82–3.00]** 2.82 [2.65–2.95] 0.002
 Placebo (n = 9) 2.83 [2.60–2.97] 2.93 [2.62–2.93] 2.67 [2.48–2.73]* 0.016
TVDs (mm/mm2)
 Pentaglobin (n = 10) 25.5 [17.9–27.1] 24.9 [18.7–27.6] 27.0 [19.3–29.6] 0.436
 Placebo (n = 9) 26.6 [21.1–30.3] 25.2 [20.5–28.1] 22.5 [17.8–26.6] 0.154
De Backer score (n/mm) 0.887 0.144
 Pentaglobin (n = 10) 13.1 ± 2.2 13.3 ± 3.4 14.2 ± 2.7
 Placebo (n = 9) 13.9 ± 2.8 13.2 ± 2.4 12.8 ± 2.7
PPVs (%)
 Pentaglobin (n = 10) 96 [87–98] 99 [98–100] 98 [97–100] 0.050
 Placebo (n = 9) 98 [96–99] 98 [97–99] 96 [94–98]# 0.154
FHI (AU)
 Pentaglobin (n = 10) 0.31 [0.16–0.45] 0.03 [0–0.13] 0.07 [0–0.18] 0.032
 Placebo (n = 9) 0.18 [0.03–0.30] 0.07 [0.07–0.18] 0.11 [0.03–0.26] 0.495
StO2 (%)
 Pentaglobin (n = 10) 80 [79–84] 84 [79–89] 84 [77–88] 0.316
 Placebo (n = 9) 85 [72–86] 81 [78–84] 84 [75–87] 0.658
StO2 downslope (%/min)
 Pentaglobin (n = 10) − 8.4 [− 10.8, − 6.1] − 10.9 [− 11.9, − 8.2] − 11.5 [− 16.3, − 9.1] 0.367
 Placebo (n = 9) − 8.0 [− 14.2, − 5.7] − 6.6 [− 13.9, − 6.1] − 10.2 [− 12.3, − 6.7] 0.813
StO2 upslope (%/min) 0.005 0.681
 Pentaglobin (n = 10) 157 ± 37 224 ± 82** 207 ± 77
 Placebo (n = 9) 120 ± 57 162 ± 68 146 ± 73
Area of hyperemia (%*min) 0.002 0.544
 Pentaglobin (n = 10) 16.7 ± 10.5 12.7 ± 8.3 10.3 ± 5.9*
 Placebo (n = 9) 15.3 ± 10.3 13.9 ± 7.4 7.1 ± 6.8*
THI (AU)
 Pentaglobin (n = 10) 12 [9–15] 11 [8–12] 10 [8–14] 0.601
 Placebo (n = 9) 11 [7–13] 10 [7–13] 8 [7–12] 0.654

Data are expressed as mean ± standard deviation or median [1st–3rd quartile], as appropriate

NIRS near-infrared spectroscopy, PVD perfused vessel density, MFI microvascular flow index, TVD total vessel density, PPV percentage of perfused vessels, FHI flow heterogeneity index, StO2 tissue oxygen saturation, THI tissue haemoglobin index, AU arbitrary units

aTwo-way analysis of variance for repeated measures (testing the effect of time) or Friedman test, as appropriate

bTwo-way analysis of variance for repeated measures (testing for the interaction between time and treatment), when applicable

p < 0.05, **p < 0.01 versus baseline, Two-way analysis of variance for repeated measures with Sidack’s post hoc test or Friedman test with Dunn’s post hoc test for multiple comparisons, as appropriate

#p < 0.05 versus Pentaglobin group, Mann–Whitney U test

Fig. 3.

Fig. 3

Comparison of the delta values (variations from baseline) for the perfused vessel density

Fig. 4.

Fig. 4

Images of the sublingual microcirculation of a patients at baseline and after 72 h of Pentaglobin infusion. Non-perfused vessels are indicated with stars

Two-way ANOVA showed significant effects of both time (with an F (2, 34) 6.29, p = 0.005) and treatment (with an F (1, 17) 4.51, p = 0.049) on the StO2 upslope, with no significant interaction (p = 0.681). Changes from baseline were similar between the two groups (Additional file 1). We found a significant effect of time on the area of hyperemia with an F (2, 34) 7.19 (p = 0.002), but variations over time did not differ between the two groups (Fig. 2, Additional file 1). No other differences were observed for microvascular and NIRS-derived parameters.

The administration of Pentaglobin did not induce any significant variation in MAP or HR, while norepinephrine dosage was decreased in the placebo group at 72 h (Table 3). A greater decrease in central venous O2 saturation (ScvO2) was found in the placebo group compared with the Pentaglobin group at 24 h (Table 3). Changes in the other parameters and SOFA score were similar between the two groups. Similarly, changes in WBC count, procalcitonin and cytokine levels in the Pentaglobin group did not differ from those in the placebo group, although a significant decrease in IL-6 and IL-10 at 72 h was only found in the Pentaglobin group (Table 4). ICU-mortality was similar between the two groups (20% in the Pentaglobin group and 22% in the placebo group, p = 0.999), as well as the ICU length of stay (19 ± 13 days in the Pentaglobin group versus 16 ± 12 days in the placebo group, p = 0.649).

Table 3.

Changes in hemodynamic, blood gas parameters and organ function

Baseline 24 h 72 h p (time)a p (interaction)b
MAP (mmHg) 0.083 0.309
 Pentaglobin (n = 10) 80 ± 14 82 ± 9 86 ± 15
 Placebo (n = 9) 85 ± 15 75 ± 17 89 ± 13
HR (bpm) 0.662 0.169
 Pentaglobin (n = 10) 84 ± 23 85 ± 11 90 ± 21
 Placebo (n = 9) 95 ± 19 89 ± 30 80 ± 25
Norepinephrine tartrate (n, mcg/kg/min)
 Pentaglobin (n = 10) 8, 0.13 [0.03–0.39] 8, 0.12 [0.03–0.23] 7, 0.11 [0–0.38] 0.616
 Placebo (n = 9) 8, 0.38 [0.23–0.70] 8, 0.50 [0.14–0.70] 6, 0.10 [0–0.40]* 0.004
Arterial pH 0.110 0.377
 Pentaglobin (n = 10) 7.43 ± 0.07 7.42 ± 0.06 7.45 ± 0.07
 Placebo (n = 9) 7.45 ± 0.03 7.47 ± 0.05 7.49 ± 0.07
PaO2/FiO2 (mmHg) 0.875 0.474
 Pentaglobin (n = 10) 300 ± 89 311 ± 151 320 ± 89
 Placebo (n = 9) 311 ± 89 280 ± 74 262 ± 85
ScvO2 (%) < 0.001 0.053
 Pentaglobin (n = 10) 80 ± 5 78 ± 10 72 ± 9*
 Placebo (n = 9) 79 ± 9 68 ± 9**# 71 ± 7*
Base excess (mEq/L) < 0.001 0.659
 Pentaglobin (n = 10) 0.4 ± 4.9 2.5 ± 3.8 5.6 ± 4.9**
 Placebo (n = 9) 1.2 ± 4.7 4.0 ± 4.8 5.1 ± 4.4*
Arterial lactate (mmol/L)
 Pentaglobin (n = 10) 1.7 [1.3–3.5] 1.5 [1.0–2.2] 1.9 [0.9–2.7] 0.682
 Placebo (n = 9) 1.6 [1.0–2.2] 1.4 [1.0–2.2] 1.2 [1.1–1.7] 0.755
Haemoglobin (g/dL) 0.460 0.356
 Pentaglobin (n = 10) 10.4 ± 1.5 10.5 ± 0.9 9.6 ± 0.9
 Placebo (n = 9) 9.8 ± 1.8 10.1 ± 1.3 10.0 ± 1.1
Platelets (*103/mmc) 0.170 0.036
 Pentaglobin (n = 10) 158 ± 98 141 ± 80 153 ± 83
 Placebo (n = 9) 163 ± 86 168 ± 84 136 ± 67
Creatinine (mg/dL) 0.284 0.522
 Pentaglobin (n = 10) 1.1 ± 0.7 1.0 ± 0.5 0.9 ± 0.4
 Placebo (n = 9) 1.9 ± 1.0 2.1 ± 1.6 1.8 ± 1.2
Bilirubin (mg/dL)
 Pentaglobin (n = 10) 0.7 [0.5–1.7] 0.8 [0.5–1.6] 0.9 [0.5–1.7] 0.356
 Placebo (n = 9) 1.0 [0.5–1.3] 0.9 [0.5–2.3] 0.7 [0.6–2.4] 0.515
Glasgow Coma Scale
 Pentaglobin (n = 10) 14 [13–15] 15 [13–15] 15 [11–15] 0.999
 Placebo (n = 9) 14 [10–14] 13 [9–14] 12 [10–14] 0.999
SOFA score
 Pentaglobin (n = 10) 9 [7–11] 9 [5–10] 7 [6–8] 0.229
 Placebo (n = 9) 10 [7–13] 12 [6–12] 10 [6–12] 0.544
Propofol (mg/kg/h, n)
 Pentaglobin (n = 10) 1.2 [0–2.4], 7 0 [0–2.6], 4 0 [0–2.6], 4 0.790
 Placebo (n = 9) 0.8 [0–1.6], 5 0 [0–1.1], 4 0 [0–1.6], 3 0.518
Remifentanil (mcg/kg/min, n)
 Pentaglobin (n = 10) 0.08 [0.04–0.09], 8 0.05 [0–0.08], 7 0.06 [0–0.10], 7 0.366
 Placebo (n = 9) 0.06 [0–0.10], 8 0.05 [0–0.08], 7 0.06 [0–0.10], 7 0.991

Data are expressed as mean ± standard deviation or median [1st–3rd quartile], as appropriate

MAP mean arterial pressure, HR heart rate, ScvO2 central venous oxygen saturation, SOFA Sequential Organ Failure Assessment

aTwo-way analysis of variance for repeated measures (testing the effect of time) or Friedman test, as appropriate

bTwo-way analysis of variance for repeated measures (testing for the interaction between time and treatment), when applicable

p < 0.05, **p < 0.01 versus baseline, Two-way analysis of variance for repeated measures with Sidack’s post hoc test or Friedman test with Dunn’s post hoc test for multiple comparisons, as appropriate

#p < 0.05 versus Pentaglobin group, Two-way analysis of variance for repeated measures with Sidack’s post hoc test or Mann–Whitney U test, as appropriate

Table 4.

White blood cells, procalcitonin and cytokine levels

Baseline 24 h 72 h p (Friedman test)
White blood cell count (n/mmc)
 Pentaglobin (n = 10) 9070 [5560–18,660] 10,710 [6260–13,790] 10,100 [7388–11,720] 0.763
 Placebo (n = 9) 12,000 [6145–23,300] 12,560 [8185–25,090] 12,990 [7275–26,220] 0.569
Procalcitonin (ng/mL)
 Pentaglobin (n = 10) 14.4 [3.4–48.6] 14.6 [4.8, 28.8] 7.1 [3.2–14.9]* 0.026
 Placebo (n = 9) 20.0 [4.5–95.1] 19.7 [4.6–79.9] 5.2 [2.4–33]** < 0.001
Interleukin-1 BETA (pg/mL)
 Pentaglobin (n = 10) 5.3 [4–12.8] 4.5 [4–6.7] 4 [4–5.6] 0.057
 Placebo (n = 9) 4 [4–5.6] 4 [4, 5] 4 [4–5.8] 0.376
Tumour necrosis factor alpha (pg/mL)
 Pentaglobin (n = 10) 32 [20–84] 18 [14–38] 16 [12–28] 0.078
 Placebo (n = 9) 30 [24–77] 39 [25–51]# 19 [16–42] 0.010
Interleukin-6 (pg/mL)
 Pentaglobin (n = 10) 350 [104–1418] 166 [61–781] 151 [41–296]* 0.030
 Placebo (n = 9) 212 [52–971] 98 [36–217] 69 [21–141] 0.154
Interleukin-8 (pg/mL)
 Pentaglobin (n = 10) 138 [52–1268] 74 [29–177] 75 [49–108] 0.262
 Placebo (n = 9) 146 [66–302] 62 [32–79] 57 [45–115] 0.278
Interleukin-10 (pg/mL)
 Pentaglobin (n = 10) 30 [10–118] 9 [5–15]* 8 [6–13]** 0.003
 Placebo (n = 9) 20 [8–71] 19 [6–29] 10 [6–13] 0.685

Data are expressed as median [1st–3rd quartile]

p < 0.05, **p < 0.01 versus baseline, Friedman test with Dunn’s test for multiple comparisons

No correlation was found between changes (delta 72 h-baseline) in PVDs and changes in MAP (Pearson r = − 0.073, p = 0.765), norepinephrine dose (r = 0.325, p = 0.175), ScvO2 (r = 0.171, p = 0.483) and cytokine levels (Spearman rho for TNF-alpha = − 0.125, p = 0.610; Il-6 = − 0.040, p = 0.870; Il-10 = − 0.146, p = 0.552).

No unintended effects were reported for any of the two study groups.

Discussion

Microcirculatory dysfunction plays a key role in the pathogenesis of sepsis [1922]. Persistent microcirculatory alterations during septic shock are associated with organ failure and death [23, 24]. In this single-centre, randomized, double-blind, placebo-controlled phase II trial, we showed that a 72-h infusion of IgM-enriched immunoglobulins (Pentaglobin) as an adjunctive therapy during sepsis may be associated with an increase in the sublingual microvascular density and blood flow quality. These changes did not correlate with variations in macro-hemodynamic parameters or cytokine levels. Although exploratory, these data would support a potential role of Pentaglobin therapy in favouring microvascular recruitment and tissue perfusion during sepsis.

A number of clinical studies suggested a beneficial effect of IgM-enriched immunoglobulins in sepsis; however, the quality of the available evidence remains low [7]. The use of immunoglobulins was introduced with the rationale of modulating the inflammatory reaction and supporting the immune system in the fight against pathogens [25]. In septic pigs, the infusion of Pentaglobin was able to shift the inflammatory response towards an anti-inflammatory profile [26]. In experimental sepsis models, Pentaglobin normalized capillary perfusion at 24 h by reducing venular leukocyte adhesion [10] and alleviated the histopathological injury in the lungs and small intestine [27, 28]. In a rat model of pneumonia, IgM-enriched immunoglobulins enhanced the anti-inflammatory response by increasing blood IL-10 levels and reducing TNF-alpha in bronchoalveolar lavage fluid [29]. In this study, we failed to detect a clear impact of Pentaglobin on the cytokine profile. The heterogeneity of sepsis syndrome likely influenced the variation in cytokine levels. In addition, we could have missed changes in cytokines occurring earlier than the first 24 h of treatment. Our study was not powered to detect changes in cytokine levels, which are extremely variable during sepsis.

Although it cannot be excluded that macro-hemodynamic changes unrelated to immunoglobulin therapy were responsible for the observed variations in the microcirculation, we could not find any correlation between changes in microvascular perfusion and variations of macro-hemodynamic parameters. While the infusion of Pentaglobin was able to improve the sublingual microcirculation without inducing any significant change in MAP or vasopressor dose, in the placebo group the PVD and MFI were reduced at 72 h despite a decrease in norepinephrine requirements. This loss of coherence between the macro- and the microvascular responses has been described during sepsis and shock states [30] and emphasizes that targeting systemic hemodynamic parameters may not be sufficient to ensure an optimization of tissue perfusion.

Pentaglobin had no consistent impact on tissue oxygenation and microvascular reactivity as assessed by NIRS. Thenar NIRS with a VOT enables to investigate alterations in tissue oxygen delivery and consumption, and to test the microvascular reserve capacity following a short period of ischemia. Reduced StO2 and slower StO2 downslopes and upslopes are generally found during sepsis and are associated with worse outcome [31]. Nonetheless, NIRS shows alterations in peripheral (skeletal muscle) oxygenation and may not be sensitive enough to detect a hypoperfusion in inner organs, whereas the capillary perfusion of the sublingual mucosa is generally explored as a window to the splanchnic microcirculation [32].

Our study has several limitations. First, the small sample size carries a high risk of type-I error. The study may be underpowered to detect differences in some parameters (including cytokine levels). Moreover, the two groups may be unbalanced for some baseline characteristics (e.g. norepinephrine dose and lactate levels). Therefore, our results should be considered as exploratory and need confirmation by future studies. No differences were observed in the SOFA score between the groups: unfortunately, however, our study was not powered to detect differences in mortality or other major outcomes (organ failures, shock reversal, ICU length of stay). Second, the comparison of absolute PVD values at 72 h (as per pre-planned statistical analysis) did not reach statistical significance. However, we believe that this is (at least partly) due to a between-group variability at baseline. In order to control for this confounder, we included a comparison of delta values (adjusted for baseline) that confirmed the different trend observed in the two groups. Third, most of the enrolled patients were already hemodynamically stable and less than 30% were in shock based on the Sepsis-3 definitions [12]. Consistently, we did not find severe microvascular alterations at baseline: an MFI < 2.6 [16] was observed only in 5 patients out of 19 and the PPV was < 90% only in 4 cases. As the infusion of Pentaglobin could produce a bigger effect in patients with more severe microcirculatory dysfunction, the presence of an altered microcirculation should be among the inclusion criteria in future studies. Fourth, we did not measure baseline immunoglobulin levels. The infusion of IgM-enriched immunoglobulins could have been more effective in patients with more severe hypo-IgG or hypo-IgM, who may represent the best target for this immunomodulatory therapy [33]. Lastly, data of cardiac output were not evaluated as available only for a small number of patients.

Conclusions

In this single-centre, randomized, double-blind, placebo-controlled, phase II trial, a 72-h infusion of IgM-enriched immunoglobulins (Pentaglobin) in patients with sepsis or septic shock was associated with an increase in sublingual microvascular perfusion. Given the small sample size, these results must be seen as exploratory and need to be confirmed by other studies.

Supplementary information

13613_2019_609_MOESM1_ESM.docx (15.6KB, docx)

Additional file 1. Comparison of changes in sublingual microcirculation and NIRS-derived parameters.

Acknowledgements

The authors wish to thank the medical and nurse staff of the Intensive Care Unit of Azienda Ospedaliera Universitaria “Ospedali Riuniti” of Ancona (Italy) for the cooperation in the realization of this study.

Abbreviations

IgM

immunoglobulins M

PVD

perfused vessel density

MAP

mean arterial pressure

HR

heart rate

Hb

haemoglobin

WBC

white blood cells

IL

interleukin

TNF-α

tumour necrosis factor alpha

SAPS

Simplified Acute Physiology Score

APACHE

Acute Physiology and Chronic Health Evaluation

SOFA

Sequential Organ Failure Assessment

IDF

Incident Dark Field

TVD

total vessel density

PPV

percentage of perfused vessels

MFI

microvascular flow index

FHI

flow heterogeneity index

NIRS

near-infrared spectroscopy

StO2

tissue O2 saturation

THI

tissue haemoglobin index

VOT

vascular occlusion test

AUC

area under the curve

ANCOVA

analysis of covariance

ScvO2

central venous O2 saturation

Authors’ contributions

RD and ED collected the data, performed the statistical analysis, interpreted the data and drafted the manuscript. EA designed the study and revised the manuscript. CS, AC, PG, EC, VG, SP and SC participated in the collection and analysis of the data. EL contributed to the study drug preparation and randomization procedure and revised the manuscript. AD designed the study, participated in the statistical analysis and interpretation of the data and revised the manuscript. All authors approved the submitted version of the manuscript and agreed both to be personally accountable for the author’s own contributions and to ensure that questions related to the accuracy or integrity of any part of the work, even ones in which the author was not personally involved, are appropriately investigated, resolved, and the resolution documented in the literature. All authors read and approved the final manuscript.

Funding

Institutional departmental funding.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Ethics approval and consent to participate

The study protocol was approved by the local ethics committee (Comitato Etico Regionale Marche) and registered in www.ClinicalTrials.gov (Identifier: NCT02655133, date of registration 7th January 2016). Written informed consent was obtained before enrolment from all patients or their legal representatives in accordance with current Italian legislation. A deferred consent procedure was applied in case of temporary inability.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary information accompanies this paper at 10.1186/s13613-019-0609-5.

References

  • 1.Rhee C, Dantes R, Epstein L, Murphy DJ, Seymour CW, Iwashyna TJ, et al. Incidence and trends of sepsis in US hospitals using clinical vs claims data, 2009–2014. JAMA. 2017;318:1241–1249. doi: 10.1001/jama.2017.13836. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Prescott HC, Angus DC. Enhancing recovery from sepsis: a review. JAMA. 2018;319:62–75. doi: 10.1001/jama.2017.17687. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Rhodes A, Evans LE, Alhazzani W, Levy MM, Antonelli M, Ferrer R, et al. Surviving sepsis campaign: international guidelines for management of sepsis and septic shock: 2016. Intensive Care Med. 2017;43:304–377. doi: 10.1007/s00134-017-4683-6. [DOI] [PubMed] [Google Scholar]
  • 4.Gomez HG, Gonzalez SM, Londoño JM, Hoyos NA, Niño CD, Leon AL, et al. Immunological characterization of compensatory anti-inflammatory response syndrome in patients with severe sepsis: a longitudinal study. Crit Care Med. 2014;42:771–780. doi: 10.1097/CCM.0000000000000100. [DOI] [PubMed] [Google Scholar]
  • 5.Krautz C, Maier SL, Brunner M, Langheinrich M, Giamarellos-Bourboulis EJ, Gogos C, et al. Reduced circulating B cells and plasma IgM levels are associated with decreased survival in sepsis—a meta-analysis. J Crit Care. 2018;45:71–75. doi: 10.1016/j.jcrc.2018.01.013. [DOI] [PubMed] [Google Scholar]
  • 6.Busani S, Damiani E, Cavazzuti I, Donati A, Girardis M. Intravenous immunoglobulin in septic shock: review of the mechanisms of action and meta-analysis of the clinical effectiveness. Minerva Anestesiol. 2016;82:559–572. [PubMed] [Google Scholar]
  • 7.Cui J, Wei X, Lv H, Li Y, Li P, Chen Z, et al. The clinical efficacy of intravenous IgM-enriched immunoglobulin (pentaglobin) in sepsis or septic shock: a meta-analysis with trial sequential analysis. Ann Intensive Care. 2019;9:27. doi: 10.1186/s13613-019-0501-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Shankar-Hari M, Spencer J, Sewell WA, Rowan KM, Singer M. Bench-to-bedside review: immunoglobulin therapy for sepsis—biological plausibility from a critical care perspective. Crit Care. 2012;16:206. doi: 10.1186/cc10597. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Macmillan HF, Rowter D, Lee T, Issekutz AC. Intravenous immunoglobulin G selectively inhibits IL-1α-induced neutrophil-endothelial cell adhesion. Autoimmunity. 2010;43:619–627. doi: 10.3109/08916931003599062. [DOI] [PubMed] [Google Scholar]
  • 10.Hoffman JN, Fertmann JM, Vollmar B, Laschke MW, Jauch KW, Menger MD. Immunoglobulin M-enriched human intravenous immunoglobulins reduce leukocyte-endothelial cell interactions and attenuate microvascular perfusion failure in normotensive endotoxemia. Shock. 2008;29:133–139. doi: 10.1097/shk.0b013e318123e5a6. [DOI] [PubMed] [Google Scholar]
  • 11.Levy MM, Fink MP, Marshall JC, Abraham E, Angus D, Cook D, et al. 2001 SCCM/ESICM/ACCP/ATS/SIS international sepsis definitions conference. Intensive Care Med. 2003;29:530–538. doi: 10.1007/s00134-003-1662-x. [DOI] [PubMed] [Google Scholar]
  • 12.Singer M, Deutschman CS, Seymour CW, Shankar-Hari M, Annane D, Bauer M, et al. The third international consensus definitions for sepsis and septic shock (sepsis-3) JAMA. 2016;315:801–810. doi: 10.1001/jama.2016.0287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Ahsan N. Intravenous immunoglobulin induced-nephropathy: a complication of IVIG therapy. J Nephrol. 1998;11:157–161. [PubMed] [Google Scholar]
  • 14.Aykut G, Veenstra G, Scorcella C, Ince C, Boerma C. Cytocam-IDF (incident dark field illumination) imaging for bedside monitoring of the microcirculation. Intensive Care Med Exp. 2015;3:40. doi: 10.1186/s40635-015-0040-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Damiani E, Ince C, Scorcella C, Domizi R, Carsetti A, Mininno N, et al. Impact of microcirculatory video quality on the evaluation of sublingual microcirculation in critically ill patients. J Clin Monit Comput. 2017;31:981–988. doi: 10.1007/s10877-016-9924-7. [DOI] [PubMed] [Google Scholar]
  • 16.Ince C, Boerma EC, Cecconi M, De Backer D, Shapiro NI, Duranteau J, et al. Second consensus on the assessment of sublingual microcirculation in critically ill patients: results from a task force of the European Society of Intensive Care Medicine. Intensive Care Med. 2018;44:281–299. doi: 10.1007/s00134-018-5070-7. [DOI] [PubMed] [Google Scholar]
  • 17.Donati A, Damiani E, Domizi R, Scorcella C, Carsetti A, Tondi S, et al. Near-infrared spectroscopy for assessing tissue oxygenation and microvascular reactivity in critically ill patients: a prospective observational study. Crit Care. 2016;20:311. doi: 10.1186/s13054-016-1500-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Donati A, Damiani E, Botticelli L, Adrario E, Lombrano MR, Domizi R, et al. The aPC treatment improves microcirculation in severe sepsis/septic shock syndrome. BMC Anesthesiol. 2013;13:25. doi: 10.1186/1471-2253-13-25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Donati A, Domizi R, Damiani E, Adrario E, Pelaia P, Ince C. From macrohemodynamic to the microcirculation. Crit Care Res Pract. 2013;2013:892710. doi: 10.1155/2013/892710. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Donati A, Damiani E, Domizi R, Romano R, Adrario E, Pelaia P, et al. Alteration of the sublingual microvascular glycocalyx in critically ill patients. Microvasc Res. 2013;90:86–89. doi: 10.1016/j.mvr.2013.08.007. [DOI] [PubMed] [Google Scholar]
  • 21.Fabian-Jessing BK, Massey MJ, Filbin MR, Hou PC, Wang HE, Kirkegaard H, et al. In vivo quantification of rolling and adhered leukocytes in human sepsis. Crit Care. 2018;22:240. doi: 10.1186/s13054-018-2173-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Trzeciak S, Dellinger RP, Parrillo JE, Guglielmi M, Bajaj J, Abate NL, et al. Early microcirculatory perfusion derangements in patients with severe sepsis and septic shock: relationship to hemodynamics, oxygen transport, and survival. Ann Emerg Med. 2007;49:88–98. doi: 10.1016/j.annemergmed.2006.08.021. [DOI] [PubMed] [Google Scholar]
  • 23.Sakr Y, Dubois MJ, De Backer D, Creteur J, Vincent JL. Persistent microcirculatory alterations are associated with organ failure and death in patients with septic shock. Crit Care Med. 2004;32:1825–1831. doi: 10.1097/01.CCM.0000138558.16257.3F. [DOI] [PubMed] [Google Scholar]
  • 24.Massey MJ, Hou PC, Filbin M, Wang H, Ngo L, Huang DT, et al. Microcirculatory perfusion disturbances in septic shock: results from the ProCESS trial. Crit Care. 2018;22:308. doi: 10.1186/s13054-018-2240-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Kakoullis L, Pantzaris ND, Platanaki C, Lagadinou M, Papachristodoulou E, Velissaris D. The use of IgM-enriched immunoglobulin in adult patients with sepsis. J Crit Care. 2018;47:30–35. doi: 10.1016/j.jcrc.2018.06.005. [DOI] [PubMed] [Google Scholar]
  • 26.Barratt-Due A, Sokolov A, Gustavsen A, Hellerud BC, Egge K, Pischke SE, et al. Polyvalent immunoglobulin significantly attenuated the formation of IL-1β in Escherichia coli-induced sepsis in pigs. Immunobiology. 2013;218:683–689. doi: 10.1016/j.imbio.2012.08.268. [DOI] [PubMed] [Google Scholar]
  • 27.Ates I, Dogan N, Aksoy M, Halıcı Z, Gündogdu C, Keles MS. The protective effects of IgM-enriched immunoglobulin and erythropoietin on the lung and small intestine tissues of rats with induced sepsis: biochemical and histopathological evaluation. Pharm Biol. 2015;53:78–84. doi: 10.3109/13880209.2014.910535. [DOI] [PubMed] [Google Scholar]
  • 28.Stehr SN, Knels L, Weissflog C, Schober J, Haufe D, Lupp A, et al. Effects of IGM-enriched solution on polymorphonuclear neutrophil function, bacterial clearance, and lung histology in endotoxemia. Shock. 2008;29:167–172. doi: 10.1097/SHK.0b013e318067df15. [DOI] [PubMed] [Google Scholar]
  • 29.Vaschetto R, Clemente N, Pagni A, Esposito T, Longhini F, Mercalli F, et al. A double blind randomized experimental study on the use of IgM-enriched polyclonal immunoglobulins in an animal model of pneumonia developing shock. Immunobiology. 2017;222:1074–1080. doi: 10.1016/j.imbio.2017.09.002. [DOI] [PubMed] [Google Scholar]
  • 30.Ince C. Hemodynamic coherence and the rationale for monitoring the microcirculation. Crit Care. 2015;19(Suppl 3):S8. doi: 10.1186/cc14726. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Neto AS, Pereira VG, Manetta JA, Espósito DC, Schultz MJ. Association between static and dynamic thenar near-infrared spectroscopy and mortality in patients with sepsis: a systematic review and meta-analysis. J Trauma Acute Care Surg. 2014;76:226–233. doi: 10.1097/TA.0b013e3182a9221f. [DOI] [PubMed] [Google Scholar]
  • 32.Boerma EC, van der Voort PHJ, Spronk PE, Ince C. Relationship between sublingual and intestinal microcirculatory perfusion in patients with abdominal sepsis. Crit Care Med. 2007;35:1055–1060. doi: 10.1097/01.CCM.0000259527.89927.F9. [DOI] [PubMed] [Google Scholar]
  • 33.Shankar-Hari M, Singer M, Spencer J. Can concurrent abnormalities in free light chains and immunoglobulin concentrations identify a target population for immunoglobulin trials in sepsis? Crit Care Med. 2017;45:1829–1836. doi: 10.1097/CCM.0000000000002627. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

13613_2019_609_MOESM1_ESM.docx (15.6KB, docx)

Additional file 1. Comparison of changes in sublingual microcirculation and NIRS-derived parameters.

Data Availability Statement

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.


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