1. Introduction
Most battlefield casualties still die in the pre-hospital phase before reaching a medical treatment facility [
1]. Uncontrolled hemorrhage is the leading cause of preventable deaths on the battlefield and in civilian patients [
1,
2]. Management priorities are stopping bleeding and reversing shock by restoring circulating blood volume to prevent or reduce the risk of worsening trauma-induced coagulopathy (TIC) and multi-organ failure (MOF) [
3]. However, managing trauma patients with hemorrhagic shock (HS) is complex and challenging, despite recent advances in treatment protocols, including tourniquets, permissive hypotension, point of care ultrasonography, tranexamic acid, massive transfusions, and all performed within the “golden hour.” Prehospital goal-directed HS resuscitation with low-volume crystalloid or colloid fluid seems a better option in resource-limited settings [
4].
The optimal resuscitation fluid for the early treatment of severe bleeding patients remains highly debated. Roger et al. compared the rapidity of shock reversal with lactated Ringer (LR) or hydroxyethyl starch (HES) 130/0.4 at the early phase of controlled HS and found that HES restored MAP four times faster than LR [
5]. A total of 35 randomized controlled trials (RCT) evaluating the management of traumatic HS within the first 24 hours of injury did not show a correlation between transfusion requirements and mortality [
6]. Recently, damage control resuscitation (DCR) combines multiple methods to prevent or reverse HS-associated events such as acidosis, hypothermia, coagulopathy, and hypoperfusion [
7]. Unlike observational studies, RCTs to support the DCR approach are currently lacking [
6,
8]. The lack and/or inconclusiveness of clinical trials evaluating traumatic HS urges animal studies. Despite the multifactorial pathogenesis of traumatic HS, coagulopathy is the focus of scientific discourse on animal models [
2,
9]. One-quarter to one-third of patients at major trauma centers have coagulopathy on admission [
8,
10]. A similar proportion of coagulopathy upon admission is seen in combat patients [
9]. Early TIC is portrayed as hypocoagulability that results in bleeding. In contrast, later TIC is characterized by a hypercoagulable state associated with microvascular thrombosis and MOF [
3]. TIC and the effectiveness of patients’ treatment are the subjects of ongoing multifaceted debate, including reverse causality [
1,
8,
11]. Successful resuscitation of traumatic HS is unlikely without efficient hemostasis. Intracavitary, often incompressible, and overlooked bleeding is life-threatening [
12,
13].
Traumatic HS followed by fluid resuscitation results in global ischemia and reperfusion injury that can provoke a severe inflammatory response and worsen clinical outcomes. Systemic immune system activation is fundamental to developing MOF in this context and shares many features in common with systemic inflammatory response syndrome (SIRS). MOF remains a significant cause of morbidity and mortality in trauma patients, and current therapy is based on standard supportive care. Understanding the pathophysiology of HS and resuscitation will allow for developing targeted therapeutic strategies to minimize MOF and improve patient outcomes following traumatic HS.
An emerging body of evidence indicates that crosstalk between the complement, coagulation, and fibrinolytic cascades following traumatic hemorrhage leads to microthrombosis and thromboinflammation, thereby contributing to MOF and mortality [
3,
14]. Central to thromboinflammation is the loss of endothelial cells’ normal antithrombotic and anti-inflammatory functions, leading to coagulopathy, complementopathy, and immunopathy. Huber-Lang et al. discovered that thrombin in a proteolytic pattern activates C5 to generate C5a without C3 involvement [
15]. Amara et al. found that coagulation/fibrinolysis factors activate complement components C3 and C5, which subsequently activate and trigger the complement pathway [
16]. Similarly, Gulla et al. reported that the complement is a pro-coagulant factor leading to thrombin activation, which generates fibrin mesh [
17]. We have noted the activation of complement and coagulation cascades and their interaction, impacting outcomes in preclinical animal models of traumatic hemorrhage [
18,
19] and clinical trauma patients [
20]. Furthermore, our recent findings have shown that the synergistic effects of the traumatic triad (complementopathy, endotheliopathy, and coagulopathy) occurred early after trauma, contributed to poor clinical outcomes (MOF/death), and led to infectious complications; therefore, the triadic intercommunication model is proposed [
21]. Additionally, biomarkers such as Bb, syndecan-1, and D-dimer are reliable early predictive biomarkers of clinical outcomes [
21]. TIC involves many factors, including inflammatory response [
9,
22]. Inflammation and coagulation are reciprocally causally related processes [
23]. Hemostatic resuscitation [
11] may include pharmacological agents as potential adjuncts to fluid therapy to treat severe HS at or near the point of injury [
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34].
The purpose of this study is to characterize immune inflammatory responses, coagulation alterations, and their correlation with MOF and mortality in a lethal porcine model of controlled and uncontrolled HS with LR or HES permissive hypotensive resuscitation.
3. Discussion
Hemorrhage after severe trauma remains the leading cause of potentially preventable death in young individuals (≤45 years) in traumatically injured civilians (~40%) and military populations (~50%) [
35,
36,
37]. In combat, 87% of battlefield deaths after HS occur before reaching a medical facility. Outcomes of patients with HS and extremity bleeding have improved with the widespread use of tourniquets and early balanced transfusion therapy. However, point-of-injury and prehospital care of injured patients with uncontrolled truncal hemorrhage is a challenge and has had the same mortality over the last two decades despite recent advances in treatment protocols, including tourniquets, permissive hypotension, point-of-care ultrasonography, tranexamic acid, massive transfusions, and all performed within the “golden hour.” [
38].
Hemorrhaged patients after severe trauma are particularly susceptible to the early development of coagulopathy, immunopathy [complementopathy, systemic inflammatory response syndrome (SIRS), immunoparesis], endotheliopathy, and metabopathy (tissue hypoperfusion-induced energy metabolic dysfunction and iron metabolic alterations) on admission to the hospital [
14,
20,
30,
33,
34,
39,
40,
41,
42,
43,
44,
45]. Moreover, trauma-induced exposure of tissue factor to flowing blood induces the activation of coagulation, which may trigger consumptive coagulopathy [
3]. Uncontrolled bleeding after trauma initiates coagulopathy via loss of coagulation factors, red blood cells, and platelets, coagulation cascade activation, immunopathy, endotheliopathy, and metabopathy through global ischemia. Moreover, therapeutic approaches (e.g., fluid resuscitation, blood transfusion, surgical procedures, extracorporeal life support devices) can further worsen these multi-opathies and perpetuate bleeding [
46].
Severe HS is a system failure, including coagulation, immunity, vital organs, vasculature, endothelium, mitochondria, and physiological barriers [
47]. Post-HS systemic uncoupling of coagulation, immunity, vital organs vasculature, endothelium, mitochondria, and physiological barriers is critical in morbidity and mortality. Maintaining oxygen delivery to limit tissue hypoxia, inflammation, and organ function is essential for uncontrolled HS. Damage control resuscitation (DCR) recommends using more blood products and less clear fluids (crystalloid and colloid solution) as initial resuscitation in treating HS. However, prehospital resuscitation in austere environments largely relies on crystalloid and colloid intravascular expansion, as blood products are logistically arduous. Ordinary fluid resuscitation in such resource-limited conditions is the first therapeutic intervention to replace blood loss and preserve tissue perfusion until definite surgical control of bleeding can be achieved. Clear fluid resuscitation can worsen clinical outcomes by increasing blood loss by elevating blood pressure, dislodging blood clots, diluting coagulation factors and platelets, and causing inflammation and coagulopathy [
48].
Our previous studies have shown controlled hemorrhagic shock in rats [
33,
34] and pigs [
27], with typical fluid resuscitation, triggers tissue hypoperfusion, metabolic acidosis, systemic and local inflammation, and physiological barrier dysfunction, leading to multiple organ damage and death. Even though DCR with LR or Voluven
® following HS improves some measures of hemodynamics, metabolism, hyperkalemia, and survival in this current study, these restricting fluid therapies result in further complement activation and worse coagulopathy. The most important advantages of using colloids are the rapid achievement of hemodynamic goals because of their slow diffusion into the extravascular space and logistical due to reducing the weight and volume of resuscitation. Some colloids have been attributed to additional harmful effects on hemostasis, with altered fibrin polymerization and decreased platelet adhesive and aggregating properties [
5]. Clinical data from a series of large and randomized controlled trials in critically ill patients failed to show an outcomes advantage associated with colloidal fluid resuscitation and indicate that hydroxyethyl starch solutions may be related to significant adverse effects (e.g., acute kidney injury, need for renal replacement therapy, coagulopathies, and pathological tissue uptake) [
49].
We previously demonstrated that Hextend
® colloid infusion significantly contributes to dilutional anemia, tissue inflammation, complement activation, multiple-organ damage, and mortality, although it boosts hemodynamics after controlled HS in swine [
27]. In this current study, Voluven
® resuscitation led to more uncontrolled bleeding, worse dilutional anemia, systemic inflammation, coagulopathy, renal and hepatic dysfunction, increased myocardial complement activation, and renal damage. It decreased the survival rate compared to balanced LR crystalloid infusion. As such, developing optimal DCR by targeting immunopathy and/or coagulopathy may be a promising adjunctive strategy for prehospital settings.
In recent years, immunological damage control resuscitation has shown promise as a pharmacological agent for use in trauma [
30,
50,
51,
52,
53,
54], traumatic HS [
55,
56,
57], and sepsis [
58,
59]. Our recent works have shown 1) the beneficial effects of complement inhibition as both a stand-alone and adjunctive treatment with HS [
27,
31,
60,
61]; and 2) the evident effectiveness of immunological damage control resuscitation even in complex animal models of combined HS and polytrauma [
33,
34,
42]. Prehospital treatment of tranexamic acid (TXA) has been shown to reduce mortality in a large international trauma study [
62], recommended in some pre-hospital systems, and included in the WHO list of essential medicines for treating trauma [World Health Organization. Summary of the Report of the 18th Meeting of the WHO Expert Committee on the Selection and Use of Essential Medicines.
https://www.who.int/selection_medicines/committees/TRS_web_summary.pdf (2021)]. The prehospital use of TXA is still controversial because there was no significant difference in the mortality of TXA versus placebo in multicenter RCT [
63,
64]. However, patients with severe shock who received early prehospital administration of TXA had a significant reduction in 30-day mortality [
65], suggesting the severe traumatic HS patient group would benefit the most from TXA. Altogether, a future hemostatic resuscitative crystalloid and colloid fluids in combination with pharmacological agents to deter coagulopathy and immunopathy may resolve some of these problems and show more outcome benefits.
Histological splenic examination indicated successful autotransfusion, at least in the early dead pig. The spleens from the pigs that survived the observation period (24 hours) had erythrocytes in the red pulp, but this fact cannot reflect the organ dynamics at the time close to injury. Unlike a human, a pig’s spleen sequesters up to 20-25% of an animal’s blood volume and can auto-transfuse blood at a high rate under severe hemorrhagic conditions [
66]. Whether splenectomy is an essential procedure in porcine hemorrhage studies is an enduring issue [
67,
68], and caution needs to be exercised when bleeding is higher than 30% [
69]. Vnuk et al. [
70], using a volume-controlled hemorrhagic porcine model and specified anesthetics (azaperone, thiopental, and isoflurane), showed that sham-operated animals were hemodynamically more stable than splenectomized and those with an auto transplanted spleen. Fixed-volume models of hemorrhagic shock more closely simulate hemorrhage seen in accident victims or combat casualties [
71]. We recognize potential differences among pigs with intact spleen that can transfuse irregular volumes of blood into circulation. The variation in the capacity of the spleen to permeate different volumes of blood is a categorical property of the animal’s body, independent of its environment. Therefore, this variability should be counted on despite the possible requirement of a relatively larger number of animals for testing. Pottecher et al. [
72] underlined that the pre-hemorrhagic porcine splenectomy model only reproduces the situation when hemorrhagic shock follows elective surgical splenectomy.
Figure 1.
Coagulation disturbances after hemorrhagic and fluid resuscitation. Whole blood Shear elastic modulus (G) parameter (A) and maximum amplitude (MA) were measured by thromboelastography. Plasma prothrombin time (PT), Activated Partial Thromboplastin Time (aPTT), and fibrinogen concentrations were assessed using the BCSTM XP system. * H+Voliuven/H+LR vs. H and † H+Voluven vs. H+LR, p<0.05 using two-way ANOVA followed by Bonferroni posttests. Data are presented as mean ± SEM.
Figure 1.
Coagulation disturbances after hemorrhagic and fluid resuscitation. Whole blood Shear elastic modulus (G) parameter (A) and maximum amplitude (MA) were measured by thromboelastography. Plasma prothrombin time (PT), Activated Partial Thromboplastin Time (aPTT), and fibrinogen concentrations were assessed using the BCSTM XP system. * H+Voliuven/H+LR vs. H and † H+Voluven vs. H+LR, p<0.05 using two-way ANOVA followed by Bonferroni posttests. Data are presented as mean ± SEM.
Figure 2.
Systemic inflammatory immune responses after hemorrhagic shock and fluid resuscitation. Serum hemolytic terminal complement activation was measured by CH50 assay (A), and blood levels of C3a (B), TNαF (C), IL-6 (D), and IL-8 (E) were assessed by ELISA. * vs. Sham, † vs. H, and ‡ vs. H+LR, p<0.05 using two-way ANOVA followed by Bonferroni posttests. Data are presented as mean ± SEM.
Figure 2.
Systemic inflammatory immune responses after hemorrhagic shock and fluid resuscitation. Serum hemolytic terminal complement activation was measured by CH50 assay (A), and blood levels of C3a (B), TNαF (C), IL-6 (D), and IL-8 (E) were assessed by ELISA. * vs. Sham, † vs. H, and ‡ vs. H+LR, p<0.05 using two-way ANOVA followed by Bonferroni posttests. Data are presented as mean ± SEM.
Figure 3.
Multiple organ dysfunctions in posthemorrhagic shock and fluid resuscitation. Blood creatinine (A), aspartate aminotransferase (AST, B), muscle myocardium isoenzyme B (MMB, C), and creatine kinase (CK, D) were determined by Siemens Dimension Xpand Plus Chemistry 6 Analyzer. * vs. Sham, † vs. H, ‡ vs. H+LR, p<0.05 using two-way ANOVA followed by Bonferroni posttests. Data are presented as mean ± SEM.
Figure 3.
Multiple organ dysfunctions in posthemorrhagic shock and fluid resuscitation. Blood creatinine (A), aspartate aminotransferase (AST, B), muscle myocardium isoenzyme B (MMB, C), and creatine kinase (CK, D) were determined by Siemens Dimension Xpand Plus Chemistry 6 Analyzer. * vs. Sham, † vs. H, ‡ vs. H+LR, p<0.05 using two-way ANOVA followed by Bonferroni posttests. Data are presented as mean ± SEM.
Figure 4.
Myocardial inflammatory responses after hemorrhagic shock and fluid resuscitation. Immunostaining and semiquantitative fluorescent intensity of C4d (A & B), C3 (C & D), C5 (E & F), C5b-9 (G & H), and IL-6 (I & J) in heart tissues were evaluated by immunohistochemistry. Scale bars = 50 μm. * vs. sham, † vs. H, and ‡ vs. H+LR, p<0.05 using one-way ANOVA followed by Bonferroni posttests. Data are presented as mean ± SEM. Vol, voluven®.
Figure 4.
Myocardial inflammatory responses after hemorrhagic shock and fluid resuscitation. Immunostaining and semiquantitative fluorescent intensity of C4d (A & B), C3 (C & D), C5 (E & F), C5b-9 (G & H), and IL-6 (I & J) in heart tissues were evaluated by immunohistochemistry. Scale bars = 50 μm. * vs. sham, † vs. H, and ‡ vs. H+LR, p<0.05 using one-way ANOVA followed by Bonferroni posttests. Data are presented as mean ± SEM. Vol, voluven®.
Figure 5.
Pulmonary/intestinal inflammatory responses after hemorrhagic shock and fluid resuscitation. Immunostaining and semiquantitative fluorescent intensity of C3 (A & B) and C5b-9 (C & D) in lungs, and C3 (E & F) and IL-6 (G & H) in jejunum were evaluated by immunohistochemistry. Scale bars = 50 μm. * vs. sham, p<0.05 using one-way ANOVA followed by Bonferroni posttests. Data are presented as mean ± SEM.
Figure 5.
Pulmonary/intestinal inflammatory responses after hemorrhagic shock and fluid resuscitation. Immunostaining and semiquantitative fluorescent intensity of C3 (A & B) and C5b-9 (C & D) in lungs, and C3 (E & F) and IL-6 (G & H) in jejunum were evaluated by immunohistochemistry. Scale bars = 50 μm. * vs. sham, p<0.05 using one-way ANOVA followed by Bonferroni posttests. Data are presented as mean ± SEM.
Figure 6.
Histopathological changes of vital organs after hemorrhagic shock and fluid resuscitation. Histopathological (H&E stain) photos and semiquantitative evaluations of the heart (A & B, scale bars=200µm), lung (C & D, scale bars=200µm), jejunum (E & F, scale bars=500µm), and kidney (G & H, scale bars=100µm). Myocarditis was marked with white arrows (A), and the insert in panel A magnifies the region of the indicated box to show the mononuclear cells and polymorphic nuclear cells in the corresponding inflammatory infiltration foci. Data are presented as mean ± SEM. * vs. sham, † vs. H, and ‡ vs. H+LR, p<0.05, using one-way ANOVA followed by Bonferroni posttests.
Figure 6.
Histopathological changes of vital organs after hemorrhagic shock and fluid resuscitation. Histopathological (H&E stain) photos and semiquantitative evaluations of the heart (A & B, scale bars=200µm), lung (C & D, scale bars=200µm), jejunum (E & F, scale bars=500µm), and kidney (G & H, scale bars=100µm). Myocarditis was marked with white arrows (A), and the insert in panel A magnifies the region of the indicated box to show the mononuclear cells and polymorphic nuclear cells in the corresponding inflammatory infiltration foci. Data are presented as mean ± SEM. * vs. sham, † vs. H, and ‡ vs. H+LR, p<0.05, using one-way ANOVA followed by Bonferroni posttests.
Figure 7.
Survival in a porcine model of hemorrhagic shock and fluid resuscitation. Percent survival (A) and survival time are shown. * p<0.05 vs. sham, † p<0.05 vs. H, and ‡ vs. H+LR, p<0.05 using a log-rank test (A) and one-way ANOVA followed by Bonferroni posttests (B), respectively.
Figure 7.
Survival in a porcine model of hemorrhagic shock and fluid resuscitation. Percent survival (A) and survival time are shown. * p<0.05 vs. sham, † p<0.05 vs. H, and ‡ vs. H+LR, p<0.05 using a log-rank test (A) and one-way ANOVA followed by Bonferroni posttests (B), respectively.
Figure 8.
Scheme of the experimental design.
Figure 8.
Scheme of the experimental design.
Table 1.
Hemodynamic responses to hemorrhagic shock and fluid resuscitation.
Table 1.
Hemodynamic responses to hemorrhagic shock and fluid resuscitation.
|
Group |
|
Sham |
H |
H + LR |
H+Voluven |
n |
9 |
13 |
12 |
6 |
Body weight (kg) |
39.4±1.1 |
38.2±0.6 |
39.1±0.8 |
40.8±1.7 |
Controlled SBV (ml/kg) |
22 |
22 |
22 |
22 |
Uncontrolled SBV (ml/kg) |
|
|
|
|
At time 30 |
N/A |
11.1±1.0 |
7.8±0.9 |
10.1±1.5 |
60 |
N/A |
12.7±1.1 |
10.7±2.4 |
13.9±1.8 |
90 |
N/A |
12.7±1.1 |
8.6±1.0 |
16.1±2.3‡ |
120 |
N/A |
12.5±1.6 |
8.6±1.0 |
17.5±2.7‡ |
360min |
N/A |
13.7±1.0 |
11.0±2.3 |
18.3±2.8‡ |
PP (mmHg) |
|
|
|
|
Baseline |
26.7±2.1 |
28.7±3.2 |
29.1±2.8 |
28.8±1.8 |
at time 30 |
28.5±1.7 |
20.1±2.9 |
17.7±2.7* |
19.7±4.0* |
60 |
29.1±1.3 |
21.5±3.1 |
22.0±2.6 |
27.8±3.1 |
90 |
27.2±1.5 |
14.3±1.5 |
22.0±3.3 |
28.0±2.6† |
120 min |
26.0±1.5 |
16.3±3.8 |
21.3±3 |
24.6±3.9 |
MAP (mmHg) |
|
|
|
|
Baseline |
63.4±2.5 |
62.6±3.2 |
63.4±3.1 |
60.8±1.6 |
at time 30 |
65.1±1.3 |
38.7±2.3* |
39.5±3.8* |
32.2±4.1* |
60 |
63.3±1.4 |
37.9±2.2* |
44.6±2.8* |
44.3±1.5* |
90 |
62.4±1.9 |
29.6±1.9* |
44.1±1.9*† |
43.0±1.3* |
120 min |
63.4±1.8 |
26.9±2.2* |
43.0±1.6*† |
38.1±3.7* |
Shock index (bpm/mmHg) |
|
|
|
|
Baseline |
1.3±0.1 |
1.4±0.2 |
1.3±0.1 |
1.3±0.1 |
at time 30 |
1.4±0.1 |
4.5±0.3* |
5.2±1.2* |
4.8±0.7* |
60 |
1.5±0.1 |
4.5±0.2* |
3.5±0.4* |
3.2±0.1*† |
90 |
1.5±0.1 |
5.4±0.5* |
3.2±0.2*† |
3.1±0.1*† |
120 min |
1.6±0.1 |
5.3±0.2* |
3.4±0.2*† |
3.3±0.1*† |
Table 2.
Metabolic responses to hemorrhagic shock and fluid resuscitation.
Table 2.
Metabolic responses to hemorrhagic shock and fluid resuscitation.
|
Group |
|
Sham |
H |
H + LR |
H+Voluven |
n |
9 |
14 |
12 |
6 |
pH: Baseline |
7.4±0.0 |
7.4±0.0 |
7.4±0.0 |
7.4±0.0 |
at time 30 |
7.4±0.0 |
7.4±0.0 |
7.4±0.0 |
7.4±0.0 |
60 |
7.4±0.0 |
7.4±0.0 |
7.4±0.0 |
7.4±0.0 |
90 |
7.5±0.0 |
7.4±0.0 |
7.4±0.0 |
7.4±0.0 |
120 min |
7.5±0.0 |
7.4±0.0 |
7.4±0.02 |
7.4±0.1 |
Base excess (mmol/L): Baseline |
5.3±0.8 |
6.2±0.6 |
5.2±1.0 |
6.7±0.8 |
at time 30 |
6.3±0.9 |
2.5±0.6* |
2.8±0.7 |
0.4±1* |
60 |
5.9±0.8 |
-0.7±1.0* |
1.8±1.0* |
1.6±0.9* |
90 |
6.1±1.0 |
-3.4±2.2* |
3.5±1.0† |
3.2±1.2† |
120 min |
7.1±0.9 |
-3.7±1.7* |
4.0±1.1† |
4.0±1.4† |
Lactate (mmol/L): Baseline |
2.2±0.2 |
2.0±0.1 |
2.2±0.2 |
2.0±0.2 |
at time 30 |
1.9±0.1 |
4.1±0.2* |
3.3±0.2 |
5.3±0.6* |
60 |
1.7±0.1 |
6.6±0.6* |
5.1±0.8* |
5.5±0.4* |
90 |
1.7±0.2 |
8.9±1.9* |
4.3±0.7*† |
4.9±0.4*† |
120 min |
1.5±0.2 |
9.3±1.5* |
3.8±0.6*† |
5.2±0.8*† |
SvO2 (%): Baseline |
79.0±3.3 |
73.4±2.4 |
76.0±1.2 |
79.4±2.2 |
at time 30 |
79.4±2.2 |
54.3±6.5* |
52.2±6.5* |
66.5±6.4 |
60 |
78.2±2.5 |
62.1±6.5 |
59.1±3.7* |
71.7±4.2 |
90 |
74.4±1.4 |
71.3±7.4 |
54.2±5.6* |
71.8±4.3 |
120 min |
77.1±2.6 |
49.4±10.4* |
56.5±4.8* |
67.3±6.1 |
Hemoglobin (g/dl): Baseline |
8.3±0.3 |
8.4±0.17 |
8.6±0.2 |
8.1±0.2 |
at time 30 |
8.1±0.4 |
8.31±0.23 |
8.6±0.4 |
7.8±0.4 |
60 |
8±0.4 |
8.25±0.27 |
6.9±0.6* |
4.5±0.4* |
90 |
7.9±0.3 |
6.6±1.0 |
6.3±0.6 |
4.6±0.5‡† |
120min |
8.3±0.3 |
7.1±0.7 |
6.7±0.37† |
4.4±0.4†* |
Hct (%): Baseline |
24.5±1.06 |
24.7±0.5 |
25.4±0.6 |
23.8±0.8 |
at time 30 |
25.2±1.2 |
24.5±0.7 |
25.3±1.2 |
23.0±1.2 |
60 |
24.2±1.4 |
23.2±1.3 |
19.4±1.8 |
13.2±1.0*†‡ |
90 |
23.5±1.2 |
19.4±2.8 |
18.4±1.6 |
12.8±1.4*†‡ |
120min |
25.2±1.2 |
21.0±2.1 |
19.7±1.1* |
12.4±1.1*†‡ |
Potassium (mmol/L): Baseline |
4.1±0.0 |
4.0±0.1 |
3.9±0.1 |
3.9±0.1 |
at time 30 |
4.2±0.1 |
4.7±0.1 |
4.6±0.3 |
5.1±0.3* |
60 |
4.2±0.1 |
5.1±0.2* |
4.4±0.3† |
3.8±0.1† |
90 |
4.4±0.1 |
5.2±0.4 |
4.4±0.1 |
4.3±0.1 |
120 min |
4.5±0.1 |
6.2±0.7* |
4.6±0.1† |
4.8±0.1† |