vasopresina efectos adversos
TRANSCRIPT
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Objective:The frequency, risk factors, and mortality rates of seri-
ous adverse events associated with the use of vasopressin and
norepinephrine are not clear. The objectives of this study were to
determine frequency, risk factors (including candidate gene poly-
morphisms), and outcomes of serious adverse events in septicshock patients.
Design:Retrospective cohort study using multicenter discovery
and single-center validation cohorts.
Setting:ICUs at academic teaching centers.
Patients:Five hundred ninety-seven patients with septic shock in
discovery (Vasopressin and Septic Shock trial) and 533 patients
in validation (St. Pauls Hospital) cohorts.
Intervention:Vasopressin and norepinephrine for septic shock.
Measurements and Main Results: The primary outcome variable
was 90-day mortality rates of patients with and without serious
adverse events. Secondary outcome variables were the association
between vasopressor genotype pathway polymorphisms, plasma
vasopressin levels, and serious adverse events. Plasma vasopres-
sin concentrations were measured at baseline, 6 hours, 24 hours,
72 hours, and 7 days after vasopressor infusion. Patients with sep-
tic shock were genotyped for 268 vasopressor pathway tag sin-gle-nucleotide polymorphisms. Serious adverse events occurred
in 10.5% and 9.7% of patients in Vasopressin and Septic Shock
trial and St. Pauls Hospital cohorts, respectively. Patients who
had serious adverse events had higher mortality (p< 0.01) than
patients without serious adverse events (adjusted for age, serum
lactate, Acute Physiology and Chronic Health Evaluation II, and
maximum dose of norepinephrine day 1) (hazard ratio, 2.97;
95% CI, 2.204.00;p< 0.001 and hazard ratio, 1.89; 95% CI,
1.262.85;p= 0.002 in Vasopressin and Septic Shock trial and
St. Pauls Hospital, respectively). There was no difference in the
area under the plasma vasopressin concentration curve between
patients with and without serious adverse events (p= 0.1). TheAA genotype of rs28418396 single-nucleotide polymorphism
(near the arginine vasopressin receptor 1b gene) was signicantly
associated with serious adverse events in discovery and valida-
tion cohorts (p= 0.001 andp= 0.04, respectively).
Conclusion:Serious adverse events associated with vasopres-
sin and norepinephrine in patients who have septic shock are
associated with increased mortality and morbidity. AA genotype
of rs28418396 single-nucleotide polymorphism near the arginine
vasopressin receptor 1b gene is associated with serious adverse
events. The mechanism of this association requires investigation.
(Crit Care Med2014; 42:18121820)
Key Words: arginine vasopressin receptor 1b; norepinephrine;septic shock; serious adverse events; vasopressin
In the latest surviving sepsis guidelines, norepinephrine
(NE) is recommended as first vasopressor and vasopres-sin can be added to NE with intent of either raising mean
arterial pressure (MAP) or decreasing NE dosage (1). However,
these commonly used vasopressors are associated with serious
adverse events (SAEs) (2). Although the hemodynamic status
may be improved by vasopressors, several studies of vasopres-
sin and NE infusions found the prevalence of adverse drug
Copyright 2014 by the Society of Critical Care Medicine and LippincottWilliams & Wilkins
DOI: 10.1097/CCM.0000000000000333
*See also p. 1944.
1Centre for Heart Lung Innovation, St. Pauls Hospital, Vancouver, BC,Canada.
2Division of Critical Care Medicine, St. Pauls Hospital, University of BritishColumbia, Vancouver, BC, Canada.
Registration: ISRCTN94845869.
Supplemental digital content is available for this article. Direct URL cita-tions appear in the printed text and are provided in the HTML and PDFversions of this article on the journals website (http://journals.lww.com/ccmjournal).
Supported, in part, by VASST, Canadian Institutes of Health Research
(grant number: MCT 44152).Dr. Boyd is a recipient of a Providence Health Care Research Scholar -ship. Dr. Walley is employed by the University of British Columbia and hasstock options with Sirius Genomics. His institution received grant supportfrom the University of British Columbia and Canadian Institutes of HealthResearch. Dr. Russell served as board member for Sirius Genomics; con-sulted for Ferring Pharmaceutical, Grifols, Medimmune, and Astra Zeneca;lectured for Pzer; has a patent with the University of British Columbia andSirius Genomics; and has stock options with Sirius Genomics. His institu-tion received grant support from Ferring Pharmaceutical, Astra Zeneca,Sirius Genomics, and Eli Lilly. Dr. Anantasit has disclosed that he does nothave any potential conicts of interest.
For information regarding this article, E-mail:[email protected]
Serious Adverse Events Associated With Vasopressin
and Norepinephrine Infusion in Septic Shock*
Nattachai Anantasit, MD1; John H. Boyd, MD, FRCP(C)1,2; Keith R. Walley, MD, FRCP(C)1,2;
James A. Russell, MD, FRCP(C)1,2
http://journals.lww.com/ccmjournalhttp://journals.lww.com/ccmjournalmailto:[email protected]:[email protected]://journals.lww.com/ccmjournalhttp://journals.lww.com/ccmjournal -
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events ranged from 10% to 72% (36). SAEs of vasopressors
include arrhythmias, chest pain, myocardial infarction, cardiac
arrest, decreased cardiac output, stroke, limb ischemia, mesen-
teric ischemia, and water intoxication (711). SAEs occurred in
about 10% of patients in a randomized controlled trial of vaso-
pressin versus NE (Vasopressin and Septic Shock trial, VASST),
with no difference in frequency between treatment groups (5).
The risk of these SAEs in VASST has not yet been investigated.SAEs can lead to death, but it is not well understood whether
and to what extent patients who have SAEs associated with
vasopressin and NE have an increased risk of death.
In addition, SAEs associated with vasopressin or NE infu-
sion in patients with septic shock can be difficult to predict.
Clinical markers, vasopressin levels, and pharmacogenomic
markers could identify patients who have an increased risk
of SAEs and the clinician can then avoid or discontinue that
drug. Genetic single-nucleotide polymorphisms (SNPs)
are important identifiable risk factors in patients who may
develop SAEs (12).
Limited lists of candidate genes in the vasopressin and NEpathways modulate their actions and so could be candidates
for evaluation as SNPs predictive of SAEs associated with vaso-
pressin and NE. Vasopressin stimulates a family of receptors
including arginine vasopressin receptor (AVPR)1a (V1 recep-
tor), AVPR1b (V3 receptor), AVPR2 (V2 receptor), oxytocin
receptor, and purinergic receptors (13). Vasopressinase (leucyl/
cystinyl aminopeptidase, LNPEP) is associated with mortality
and increased vasopressin clearance in septic shock patients
(14). NE stimulates adrenergic receptors. The -adrenergic
receptor gene (ADR) plays an important role in cardiovascular
disease and SNPs of ADR have been associated with mortality
of septic shock (15). Furthermore, the angiotensin II signalingpathway gene polymorphisms are associated with outcomes in
cardiovascular disorders (16). An angiotensin II type 1 recep-
torassociated protein (AGTRAP) polymorphism is associated
with mortality in patients with septic shock (17).
Our overarching goal was to determine the mortality rate of
SAEs associated with vasopressin and NE infusion in patients
who have septic shock. We also sought to determine whether
commonly available clinical characteristics are associated with
an increased risk of developing SAEs. Finally, we hypothesized
that SNPs of candidate genes of the vasopressin and NE path-
ways and/or plasma arginine vasopressin (AVP) levels could
predict SAEs in patients who had septic shock who receivedvasopressin versus NE infusions.
MATERIALS AND METHODS
Patients
VASST Cohort. We used the VASST cohort as the discov-
ery cohort because VASST was a multicenter, randomized,
double-blind, controlled trial evaluating the safety and efficacy
of vasopressin 0.010.03 U/min versus NE 515 g/min in a
total of 778 patients with septic shock. Entry criteria required
that eligible patients were older than 16 years, had two of four
criteria for systemic inflammatory response syndrome (SIRS),
had a new proven or suspected infection, had new dysfunction
of at least one new organ dysfunction, and had hypotension
despite adequate fluid resuscitation on a minimum of 5 g/
min of NE at baseline (5). During the initiation and titration
of the study drug, the bedside nurse also titrated open-label
vasopressors to maintain a constant target MAP. An initial tar-
get MAP of 6575 mm Hg was recommended. Of these, 597
patients had complete patient data, DNA available, and wereincluded in the current study. The research ethics boards of
all participating institutions approved this trial, and writ-
ten informed consent was obtained from all patients or their
authorized representatives. The research ethics board at the
coordinating center (University of British Columbia) approved
the genetic analysis.
St. Pauls Hospital Cohort.We used the St. Pauls Hospi-
tal (SPH) cohort as a validation cohort because it included
patients in whom vasopressin and NE were used in prac-
tice. However, vasopressin and NE use were not randomized,
blinded, or protocolized. We did a retrospective chart review
of patients who admitted at SPHICU with septic shock. Septicshock was defined by infection, the presence of two or more
diagnostic criteria for the SIRS, and hypotension despite ade-
quate fluid resuscitation or requiring vasopressor (18). Vaso-
pressin was generally used after patients were already started
on NE infusions (as first vasopressor) usually, when patients
were not responsive and needed increased doses of vasopressin.
There was no difference in use of vasopressin over the 5 years.
Patients admitted to the ICU of SPH in Vancouver, Canada,
between July 2000 and January 2004 were screened (n= 1,626).
Of these, 533 patients had septic shock at admission, were
extensively phenotyped, and had DNA available. Phenotyping
and genotyping were not part of routine practice at SPH. Theinstitutional review board at SPH and the University of British
Columbia approved the study. This study used discarded blood
and anonymized databases, and so the ethics board ruled that
consent was not necessary.
Definitions
SAEs were defined as any severe, life-threatening event tem-
porally associated with the use of vasopressin or NE. Acute
myocardial ischemia was defined by serum cardiac troponin
T above normal plus electrocardiogram (ECG) findings sug-
gesting myocardial ischemia as interpreted by clinical cardi-
ologists interpreting ECGs. Tachyarrhythmia was defined as anew onset of atrial fibrillation. Bradyarrhythmia was defined
as a new heart rate below 50 beats/ min which require rapid
intervention. Cardiac arrest defined as asystole, ventricular
fibrillation, or pulseless electrical activity. Digital ischemia was
defined as the occurrence of new areas of mottled or livido
skin in one or more extremities (4). Mesenteric ischemia was
defined by evidence of radiographic signs of ischemic bowel
on abdominal radiograph as interpreted by clinical radiolo-
gists. Cerebrovascular accident was defined as new neurologic
deficit and acute cerebral infarct or hemorrhage on CT brain.
Hyponatremia was defined as a serum sodium level of less than
130 mmol/L.
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We evaluated organ dysfunction by calculating days aliveand free (DAF) of organ dysfunction (19). Organ dysfunction
for each organ system was considered to be present duringeach 24-hour period if there was evidence of moderate, severe,
or extreme organ dysfunction according to the Brussels cri-teria (20). Each day a patient was given 1 if alive and free of
organ dysfunction and zero if dead or had organ dysfunction.
We also similarly assessed DAF ventilation, vasopressors, andrenal support over 28 days. The lowest score possible for eachvariable was zero and the highest score possible was 28. A low
score indicates more organ dysfunction, whereas a high scoreindicates less organ dysfunction.
Plasma Vasopressin Levels
Blood for measurement of plasma vasopressin levels was col-lected at baseline, 6 hours, 24 hours, 72 hours, and 7 days in
VASST. Plasma vasopressin concentration was measuredafter extraction on reversed phase column by double anti-
body immunoassay (5). This subgroup of 88 patients who
had plasma vasopressin concentrations measured (n= 45 invasopressin group and n= 43 in NE group) had similar clini-cal characteristics to the original VASST cohort (subgroup vs
original VASST cohort, median age [yr]: 62 vs 63; male [%]:60.2 vs 60.9; Acute Physiology and Chronic Health Evalua-
tion II [APACHE II]: 26 vs 27; serum lactate [mmol/L]: 2.1vs 2.2). We calculated the area under the plasma vasopressin
concentration-time curve (AUC of the vasopressin levels) ofeach patient for later group comparisons.
Selection of SNPs of Vasopressin and NE Pathway
and Genotyping
DNA was extracted from the buffy coat of discarded bloodsamples using a QIAamp DNA maxi kit (Qiagen, Mississauga,
ON, Canada) and genotyped using the Illumina Golden Gateassay (Illumina, San Diego, CA). We used genotyping data
from Seattle SNPs (http://pga.gs.washington.edu/) and Hap-Map (http://www.hapmap.org/ ) with an r2 threshold of 0.65
for SNPs with a minor allele frequency more than 5% to iden-tify tag SNPs. We identified four tag SNPs (AGTRAP) and 16
tag SNPs (ADR) in NE pathway and three tag SNPs (AVPR1a),
five tag SNPs (AVPR1b), 237 tag SNPs (LNPEP), and three tagSNPs (OXTR) in the vasopressin pathway.
Primary and Secondary Outcomes
The primary outcome was 90-day mortality, and we compared
the mortality rates of patients who did or did not have a SAE.We also evaluated whether baseline clinical characteristics dif-
fered between patients with or without SAEs. Finally, we alsodetermine whether plasma vasopressin levels and SNPs related
to vasopressin and NE were associated with SAEs.
Statistical Analysis
Statistical analysis was performed using R, version 2.8.1 (http://www.R-project.org), and SPSS, version 16 (SPSS, Chicago, IL)statistical software packages. We compared patients who had
developed SAEs with no SAEs and tested for differences inbaseline characteristics and hospital outcomes including DAF
of organ dysfunction by using the Mann-Whitney Ustatistictest for continuous data or a chi-square test for categorical data.
Normally distributed continuous variables were described bymean and SD, whereas nonnormally distributed continuous
variables were expressed by median and interquartile ranges.Categorical variables were expressed as number of patients and
percentage. We tested for Hardy-Weinberg equilibrium using a
chi-square test primarily as a data quality check. The Armitagetrend test was used for evaluation of the association of SNPs
TABLE 1.Serious Adverse Events in Discovery (Vasopressin and Septic Shock Trial) andValidation (St. Pauls Hospital) Cohorts
VariableVasopressin and Septic Shock
Trial Cohort (n= 597) (%)St. Pauls Hospital Cohortc
(n= 533) (%) p
Myocardial ischemia 12 (2) 14 (2.6) 0.49
Tachyarrhythmias 6 (1) 14 (2.6) 0.039a
Bradyarrhythmias 7 (1.2) 10 (1.9) 0.332
Cerebrovascular accident 2 (0.3) 7 (1.3) 0.093
Unexpected cardiac arrest 7 (1.2) 3 (0.6) 0.349
Digital ischemia 8 (1.3) 3 (0.6) 0.184
Mesenteric ischemia 14 (2.3) 2 (0.4) 0.005a
Hyponatremia 2 (0.3) 0 0.501
Othersb 6 (1) 0 0.032a
Total 63 (10.6) 52 (9.7) 0.658
ap
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with presence or absence of SAEs. Kaplan-Meier curves wereconstructed for comparison of the estimated probability of
survival in the two outcome groups and were tested for differ-ence using the log-rank test. We also did an analysis comparing
SAE versus no SAE adjusting for important baseline variablesusing Cox regression analysis. The occurrence of SAE dur-
ing hospital stay was considered a time-dependent covariate
in the analysis. We tested the above hypotheses in the discov-ery cohort and then took forward only those baseline clinicalcharacteristics and SNPs that were significant in the discovery
cohort for further evaluation in the validation cohort. In allcomparisons,pvalue of less than 0.05 was considered statisti-
cally significant.
RESULTSThe frequency of SAEs was similar in the discovery and vali-
dation cohorts (Table 1). There were 64 SAEs in 63 patients(10.7% of the VASST cohort) and 53 events in 52 patients
(9.9% of the SPH cohort). Mesenteric ischemia (2.3%) was the
most common SAE in VASST, whereas myocardial ischemia
and tachyarrhythmias (2.6%) were the most common SAEs in
SPH (Table 1).
We found that similar proportions of patients on vaso-
pressin versus NE in the discovery and validation cohorts had
SAEs. In VASST, 33 of 304 patients who received vasopressin
(AVP group) (10.8%) had SAEs and 30 of 293 patients whoreceived NE (NE group) (10.2%) had SAEs. Similarly, in SPH,
14 of 111 patients in AVP group (12.6%) and 38 of 422 patients
in NE group (9%) had SAEs.
In VASST, patients who had developed SAEs were sig-
nificantly older (69 vs 63 yr, p= 0.045) and had a higher ini-
tial arterial lactate level (2.8 vs 2.2 mmol/L, p= 0.035) than
patients who did not develop SAEs. In addition, patients who
had SAEs received significantly higher (median) NE dose on
day 1 than patients without SAEs (20 g/min vs 15 g/min,
p= 0.016) (Table 2). In the SPH cohort, patients who had SAEs
TABLE 2.Baseline Characteristics of Patients With or Without Serious Adverse EventsWith Septic Shock in the Discovery (Vasopressin and Septic Shock Trial) and Validation(St. Pauls Hospital) Cohorts
Variable
Vasopressin and Septic ShockTrial Cohort
St. Pauls HospitalCohort
No SAE(n= 534)
Any SAE(n= 63) p
No SAE(n= 481)
Any SAE(n= 52) p
Age, yr 63 (5072) 69 (5475) 0.045a 62 (4772) 64 (4873) 0.341
Gender: male, n(%) 320 (59.9) 33 (52.4) 0.249 307 (63.8) 31 (59.6) 0.549
Race: Caucasian, n(%) 449 (84.1) 51 (81.0) 0.524 374 (77.8) 42 (80.8) 0.618Acute Physiology and Chronic Health Evaluation II 26 (2232) 28 (2334) 0.100 26 (2132) 29 (2434) 0.035a
Use vasopressor: NE 263 (49.3%) 30 (47.6%) 0.806 384 (79.8%) 38 (73.1%) 0.254
Maximum dose of NE on day 1 (g/min) 15 (926) 20 (1134) 0.016a 12 (525) 15 (625) 0.593
Preexisting condition, n(%)
Congestive heart failure 44 (8.2) 2 (3.2) 0.154 27 (5.6) 5 (9.6) 0.226
Chronic obstructive lung disease 97 (18.2) 8 (12.7) 0.281 78 (16.2) 10 (19.2) 0.578
Chronic renal failure 62 (11.6) 3 (4.8) 0.099 33 (6.9) 2 (3.8) 0.562
Liver disease 57 (10.7) 11 (17.5) 0.109 50 (10.4) 6 (11.5) 0.798
Chronic corticosteroid use 114 (21.3) 8 (12.7) 0.107 28 (5.8) 3 (5.8) 1Initial hemodynamic
Mean arterial pressure (mm Hg) 55 (5061) 56 (4863) 0.876 54 (5059) 54 (5060) 0.659
Heart rate (beats/min) 126 (110140) 130 (112142) 0.146 115 (95130) 105 (90130) 0.024a
Serum lactate (mmol/L) 2.2 (1.44.3) 2.8 (1.95.5) 0.035a 2.3 (1.44.7) 2.9 (2.05.6) 0.054
rs28418396_AVPR1B
TT/TA 150 (28.1%) 8 (12.7%) 0.009a 134 (27.9%) 6 (11.5%) 0.011a
AA 384 (71.9%) 55 (87.3%) 347 (72.1%) 46 (88.5%)
SAE = serious adverse event, NE = norepinephrine.ap< 0.05.
Data are median (interquartile range) for continuous variables.pvalues were calculated with the use of Pearson chi-square test and Mann-Whitney Utest.
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had higher APACHE II than patients who did not have SAEs
(29 vs 26, p= 0.035) and had lower heart rates (105 vs 115,
p= 0.024) (Table 2). There were no other significant differ-
ences between groups.
Regarding timing of SAEs (Supplemental Table 1,
Supplemental Digital Content 1, http://links.lww.com/CCM/
A913), the mean time of SAEs after onset of vasopressor
infusion was similar in the vasopressin and NE groups andranged from 0 to 26 days. Time to SAE in the VASST and SPH
cohorts is shown in Supplemental Figure 1(Supplemental
Digital Content 2, http://links.lww.com/CCM/A914). Nearly
all SAEs occurred within 10 days of onset of shock treat-
ment. There was no difference in time to SAE according
to treatment group (vasopressin vs NE) in the VASST or
SPH cohorts (Supplemental Fig. 2, Supplemental Digital
Content 3, http://links.lww.com/CCM/A915; Supplemental
Fig. 3, Supplemental Digital Content 4, http://links.lww.
com/CCM/A916).
Overall, 90-day mortality rates were 44.5% and 54.4% in
VASST and SPH cohorts, respectively. Patients who had SAEs
had higher 90-day (and 28-day) mortality rates (Fig. 1) and
had greater organ dysfunction (cardiovascular, vasopressor use,
ventilation, renal replacement, neurologic, hematologic, and
hepatic) (Table 3). Cox regression analysis to adjust for clinicalvariables significantly associated with SAEs (age, serum lactate,
APACHE II, and maximum dose of NE on day 1) confirmed that
patients who had serious events had higher mortality at 90 days
(hazard ration [HR], 2.97; 95% CI, 2.204.00;p< 0.001 and HR,
1.89; 95% CI, 1.262.85;p= 0.002 in the whole VASST cohort
[n = 779] and SPH, respectively) than patients without SAEs
even after adjusting for these prognostic factors. Cox regression
analysis to adjust for clinical variables significantly associated
with SAEs (age, serum lactate,
APACHE II, maximum dose of
NE on day 1, and AA genotype
of rs 28418396) confirmed thatpatients who had serious events
had higher mortality at 90 days
(HR, 1.654; 95% CI, 1.152.39;
p = 0.007 and HR, 2.08; 95%
CI, 1.373.14; p < 0.001 in
VASST and SPH, respectively)
than patient without SAEs.
Furthermore, Cox regression
analysis to adjust for clinical
variables significantly associated
with SAEs (age, serum lactate,
APACHE II, maximum doseof NE on day 1, and any SAE)
confirmed that patients who
had AA genotype of rs28418396
had higher mortality at 90 days
(HR, 1.41; 95% CI, 1.061.88;
p= 0.018 and HR, 1.53; 95% CI,
1.132.07; p = 0.006 in VASST
and SPH, respectively) than
patient who had TA/TT geno-
type of rs28418396.
Comparing the vasopres-
sin with NE groups in VASSTand then in SPH, patients with
SAEs had higher mortality and
fewer DAF of organ dysfunc-
tion in most comparisons except
for the vasopressin group in
SPH (Supplemental Table 2,
Supplemental Digital Content
5, http://links.lww.com/CCM/
A917).
The area under the curve of
plasma vasopressin concentra-
tion was not different between
Figure 1.Kaplan-Meier survival curves of septic shock patients who had developed any serious adverse events(SAEs) compared with septic shock patients who had not developed SAEs in both discovery (Vasopressin and
Septic Shock trial, VASST) and validation (St. Pauls Hospital, SPH) cohorts.
http://links.lww.com/CCM/A913http://links.lww.com/CCM/A913http://links.lww.com/CCM/A914http://links.lww.com/CCM/A915http://links.lww.com/CCM/A916http://links.lww.com/CCM/A916http://links.lww.com/CCM/A917http://links.lww.com/CCM/A917http://links.lww.com/CCM/A917http://links.lww.com/CCM/A917http://links.lww.com/CCM/A916http://links.lww.com/CCM/A916http://links.lww.com/CCM/A915http://links.lww.com/CCM/A914http://links.lww.com/CCM/A913http://links.lww.com/CCM/A913 -
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patients with and without SAEs (Fig. 2). As expected, the AUC
of AVP level showed that patients in NE group had much lower
AUC than those in the vasopressin group (Fig. 2).
We successfully genotyped 268 tag SNPs in vasopressor path-
way genes in VASST cohort. All SNPs were in Hardy-Weinberg
equilibrium. In VASST, nine SNPs were significantly associated
with SAEs (Table 4). Of these, only rs28418396 was also signifi-
cant in the validation (SPH) cohort. We found that patients who
had AA genotype of rs28418396 in NE group were statistically
significant increased risk of SAEs in both cohorts (p= 0.001 in
VASST discovery cohort, which is significant after Bonferroni
correction; p= 0.04 in SPH validation cohort, single SNP vali-dation so not corrected in validation cohort) (Fig. 3).
An adjusted analysis (multiple logistic regression) in the
discovery cohort (VASST) using age, APACHE II, arterial lac-
tate, and maximum dose of NE on day 1 as covariates showed
that patients who had the AA genotype of rs28418396 SNP had
significantly more SAEs than patients who had TA/TT geno-
types (AA vs TA/TT, VASST: adjusted odds ratio [OR], 2.27;
95% CI, 1.034.98; p= 0.041). Logistic regression analysis for
SAEs in SPH validated that patients who had AA genotype of
rs28418396 had greater risk of SAEs than patients who had TT/
TA genotypes of rs28418396 (AA vs TT/TA, adjusted OR, 2.99;
95% CI, 1.247.21; p = 0.014 after adjusting for age, serum
lactate, and APACHE II). Patients who had AA genotype of
rs28418396 in vasopressin group had significant lower AUC ofAVP level over the first 7 days than patient who had TA/TT
genotype (p= 0.022).
DISCUSSIONIn this study, we found that 10% of patients with septic shock
who received vasopressin or NE had SAEs in discovery and val-
idation cohorts. Second, we found that patients who had SAEs
had about double the mortality rates of patients who did nothave SAEs. Third, we found that the area under the vasopres-
sin concentration curve was not different between patients onvasopressin infusion with or without SAEs. Finally, we found
that patients who had the AA genotype of rs28418396 SNP had
significantly higher rates of SAEs in both discovery and valida-tion cohorts.
The SAE rates we found are somewhat lower when com-
pared with other studies (6, 9). One reason could be use of dif-
ferent definitions of SAEs in different studies. Different dosing
of vasopressin and NE is not likely the explanation as the doses
of vasopressin and NE of our study were similar (vasopressindose was 0.010.03 U/min; mean maximum doses of NE were
26.7 and 24.6 g/min in VASST and SPH cohort, respectively)
to other studies.
TABLE 3.Mortality Rates and Morbidities of Patients With or Without Serious AdverseEvents in the Discovery (Vasopressin and Septic Shock Trial) and Validation (St. PaulsHospital) Cohorts
Variable
Vasopressin and Septic Shock Trial Cohort St. Pauls Hospital Cohort
No SAE (n= 534) Any SAE (n= 63) p No SAE (n= 481) Any SAE (n= 52) p
Outcome, n(%)
28-day mortality 168 (31.5%) 35 (55.6%) < 0.001a 215 (44.7%) 34 (65.4%) 0.005a
90-day mortality 228 (42.7%) 38 (60.3%) 0.008a 251 (52.2%) 39 (75%) 0.002a
Length of ICU stay (d) 10 (516) 9 (319) 0.62 8 (415) 10 (421) 0.611
Days alive and free of organ dysfunction
Cardiovascular 20 (024) 3 (021) < 0.001a 11 (023) 4 (016) 0.006a
Vasopressor useb 20 (024) 3 (022) 0.001a 18 (125) 7 (020) 0.004a
Ventilationc 10.5 (021) 0 (08) < 0.001a 3 (020) 1 (09) 0.039a
Renal replacement 26 (628) 16 (128) 0.006a 15 (228) 7 (123) 0.042a
Neurologicd 18 (025) 2 (018) < 0.001a 22 (427) 9 (225) 0.007a
Hematologice 25 (728) 19 (128) 0.005a 21 (428) 10 (225) 0.031a
Hepatic 27 (728) 11 (128) 0.001a 20 (328) 8 (127) 0.013a
Any organ failure 0 (010) 0 (02) 0.012a 0 (00) 0 (00) 0.216a
SAE = serious adverse events.ap< 0.05.bVasopressor use was dened as 5 g or more of dopamine/kg/min or any dose of norepinephrine, epinephrine, or phenylephrine.cVentilation was dened as intubation and positive-pressure ventilation.dNeurologic was dened as Glasgow Coma Score < 12, prior to receiving sedation.eHematologic was dened as new onset of coagulation defect or platelet count < 80,000/mm3.
Data are median (interquartile range) for continuous data.pvalues were calculated with Pearson chi-square test and Mann-Whitney Utest.
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This study showed that patients with SAEs had higher (about
double) mortality rate than patients without SAEs. Because
this was an association study, it is not clear whether the SAEs
were in some part causal of the increased mortality rates or
whether the presence of SAEs simply identified sicker patients
at increased risk of death. Some clinical markers were associated
with increased risk of SAEs in one or both cohorts. For example,
patients who had developed SAEs had a trend to higher serum
lactate than patients without SAEs. Prior studies found that high
serum lactate is a risk predictor of nonocclusive mesenteric isch-
emia (21). Patients with SAEs also were older and had higher
APACHE II than patients without SAEs. These simple clinical
markers could be used to iden-
tify patients at increased risk of
SAEs while on vasopressin or NE
infusions for septic shock.
We found that the AA geno-
type of rs28418396 SNP was sig-
nificantly associated with SAEs
in discovery (VASST) and vali-dation (SPH) cohorts. To our
knowledge, this is the first study
to demonstrate that AA geno-
type of rs28418396 SNP is a risk
factor for SAEs in patients with
septic shock. The rs28418396 is
near the 5untranslated region
of the AVPR1b gene. AVPR1b
gene sized is 7,200 bases in
chromosome 1q32. AVP is pro-
duced in the hypothalamus,
stored in posterior pituitary,and released into the circula-
tion (2). There is an impor-
tant interaction between AVP
and the adrenal axis in stress
situations that is linked by the
AVPR1b receptor (22). When
vasopressin binds to the V1b
receptor on corticotrophs in the
anterior pituitary (coded for by
the AVPR1b gene), adrenocor-
ticotropin hormone (ACTH) is
released (23). Septic shock acti-vates vasopressin release to sup-
raphysiologic levels and then
vasopressin levels decrease rap-
idly (24). Furthermore, animal
studies show that the activation
of central vasopressin may be
mediated by NE through 1-
adrenergic receptors (25). NE
also triggers the pituitary gland
to release ACTH.
The exact mechanism by which
rs28418396 SNP of AVPR1bgeneinfluences any SAEs, particularly patients who received NE infu-
sion, is unknown and requires further investigation.
Plasma vasopressin levels were not associated with SAEs in
septic shock patients. In particular for patients on vasopressin
infusion, vasopressin levels were not different between patients
with or without SAEs suggesting that simple pharmacokinetics
and higher vasopressin levels were not associated with SAEs.
Vasopressin secretion is complex and depends on blood pres-
sure, plasma osmolarity, and blood volume (26), as well as
hypercapnia, hypoxia, hyperthermia, pain, nausea, and mor-
phine. Furthermore, many hormones are direct stimulators
of vasopressin, such as acetylcholine, histamine, angiotensin
Figure 2.The area under the plasma vasopressin concentration-time curve (AUC) in septic shock patients inthe discovery (Vasopressin and Septic Shock trial) cohort at 24 hr and 7 days in the norepinephrine (NE) andarginine vasopressin (AVP) groups without (top) or with regard to the genotype of rs28418396 of AVPR1b.SAE = serious adverse events.
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Clinical Investigations
Critical Care Medicine www.ccmjournal.org 1819
II, prostaglandins, dopamine, and, particularly, the adrenergicsystem. At low concentrations, NE increases vasopressin activ-
ity; conversely, at high concentrations, NE inhibits vasopressinsecretion (27). The half-life of vasopressin is approximately 10
minutes. Therefore, vasopressin levels are not good estimatesof its production and release. This study showed that the area
under the plasma concentration-time curve of vasopressin wasnot different between patients with or without SAEs in both
vasopressin and NE groups.
The clinical implications of our study are important. Wesuggest that the original VASST randomized controlled trial
provides guidance on efficacy of vasopressin versus NE in thatin the stratum of patients who had less severe shock (defined
as NE infusion < 15 g/min), patients in the vasopressin grouphad lower mortality than patients in the NE group. Regarding
safety, the original publication and the current study sug-gest that the risk of SAEs is similar for vasopressin versus NE.
Furthermore, patients must be proactively monitored for SAEsbecause they are frequent and
are associated with increasedmortality. Second, we sug-
gest that vasopressor infusionsshould be altered (decrease
dose, switch to an alternativevasopressor, re-evaluate volume
status, and consider administer-
ing volume to allow vasopressorweaning). Third, if the genomic
marker rs28418396 is validatedfurther, then in future, patients
could be assessed by measur-
ing their genotype and alteringvasopressor choice according togenotype.
There are several limitationsin this study. First, the valida-
tion (SPH) cohort was a retro-spective chart review (which
may underestimate SAEs seenin practice) and there were no
plasma vasopressin level mea-surements. Second, this is an
association study so we can-
not conclude to what extent
TABLE 4.Allele Frequency and Associations With Serious Adverse Events of SignificantTag Single-Nucleotide Polymorphisms in Vasopressor Pathway Genes in the Discovery(Vasopressin and Septic Shock Trial) Cohort
Single-Nucleotide Polymorphism_GeneMajor/Minor
AlleleMinor Allele Frequency
(n= 597)Hardy-Weinberg
Equilibrium pSerious Adverse
Event p
rs28418396_AVPR1bA/T 0.14 0.538 0.034
rs11121816_AGTRAP G/T 0.40 0.156 0.031
rs11953730_LNPEPregion C/T 0.001 0.984 0.004
rs11958177_LNPEPregion A/G 0.001 0.984 0.004
rs2549779_LNPEPregion A/G 0.48 0.402 0.012
rs2549780_LNPEPregion A/G 0.48 0.807 0.030
rs17531248_LNPEPregion C/G 0.18 0.474 0.031
rs9127_LNPEPregion A/G 0.42 0.542 0.043
rs27302_LNPEPregion A/G 0.38 0.787 0.044
AVPR1b= arginine vasopressin receptor 1b, AGTRAP= angiotensin II type 1 receptorassociated protein, LNPEP= leucyl/cystinyl aminopeptidase.pvalue were calculated with the use of chi-square test for Hardy-Weinberg equilibrium and Breslow generalized Wilcoxon test for serious adverse events.
Figure 3.Percentage of AA genotypes of rs28418396 single-nucleotide polymorphism in septicshock patients with or without serious adverse events (SAE) according to arginine vasopressin (AVP) ornorepinephrine groups in discovery (Vasopressin and Septic Shock trial, VASST) and validation (St. Pauls
Hospital, SPH) cohorts. *p= 0.001 in VASST andp= 0.04 in SPH.
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the development of SAEs while on vasopressin or NE infu-
sion contributed to increased mortality. Third, we could not
directly address vasopressin production and release. We did,
however, assess the relationship between plasma vasopressin
levels and occurrence of SAEs because higher doses and levelsof vasopressin could have caused greater vasoconstriction and
so could have caused more ischemic SAEs. The lack of differ-
ence in plasma vasopressin levels between those who did ordid not have an SAE could dissociate the biological plausibility
between SAE and use of vasopressor.
CONCLUSIONSAbout 10% of patients with septic shock on vasopressin or
NE infusion had SAEs. The development of SAEs identified
patients with greatly increased (about double) mortality rates
compared with patients who did not have SAEs. In patients
on vasopressin infusion, vasopressin levels were not different
between patients with or without SAEs suggesting that simple
pharmacokinetics and higher vasopressin levels did not causeSAEs. Patients who had the AA genotype of rs28418396 SNP
had significantly higher rates of SAEs in both discovery and
validation cohorts; the mechanism of this association requires
further investigation.
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