Skip to main content
main-content

01.12.2018 | Research | Ausgabe 1/2018 Open Access

Critical Care 1/2018

Risk of sepsis in patients with primary aldosteronism

Zeitschrift:
Critical Care > Ausgabe 1/2018
Autoren:
Chieh-Kai Chan, Ya-Hui Hu, Likwang Chen, Chin-Chen Chang, Yu-Feng Lin, Tai-Shuan Lai, Kuo-How Huang, Yen-Hung Lin, Vin-Cent Wu, Kwan-Dun Wu, TAIPAI Study Group
Wichtige Hinweise

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1186/​s13054-018-2239-y) contains supplementary material, which is available to authorized users.
Abbreviations
ACTH
Adrenocorticotropic hormone
APA
Aldosterone-producing adenoma
cHR
Competing hazard ratio
CI
Confidence interval
EH
Essential hypertension
HR
Hazard ratio
IFN-γ
Interferon gamma
IL-1β
Interleukin 1 beta
IL-2
Interleukin 2
IL-6
Interleukin 6
MR
Mineralocorticoid receptor
MRA
Mineralocorticoid receptor antagonist
NHRI
National Health Research Institutes
OP
Operation
PA
Primary aldosteronism
RAAS
Renin–angiotensin–aldosterone system
TGF-β
Transforming growth factor beta
TNF-α
Tumor necrosis factor alpha
TNHI
Taiwan National Health Insurance

Background

Primary aldosteronism (PA), characterized by an inappropriate production of aldosterone, is the most common form of secondary hypertension [ 1, 2]. Current studies have demonstrated that aldosterone oversecretion is not only related to fluid overload and hypokalemia but also resulted in cardiovascular and renal damage [ 3, 4].
Hyperaldosteronism is associated with proinflammatory immune dysregulation, such as the release of proinflammatory cytokines [ 5] and generating oxidative stress [ 6]. Systemic aldosterone infusion leads to oxidative stress and inflammation in the rat myocardium [ 7]. In human leucocytes, mineralocorticoid receptor (MR) expression has been reported in the CD34 + hematopoietic progenitor, and in peripheral blood T and B lymphocytes, monocytes, and neutrophils turning them sensitive to aldosterone stimulation [ 8]. On the other hand, recent studies [ 9, 10] have reported that glucocorticoid oversecretion was found in PA. In Cushing’s syndrome, glucocorticoid oversecretion can affect both the cellular and humoral components of the innate immune system [ 11]. The aforementioned condition raised the possibility of immune dysregulation in PA and it is reasonable to hypothesize that PA was associated with a higher risk of severe infection than other disease with immune dysregulation status [ 11]. However, there were few reports about the outcome of sepsis in PA patients. In addition, it is still unclear whether adrenalectomy for aldosteronism also leads to relevant hypocortisolism for a variable stress condition, especially during sepsis.
To study the effect of aldosterone on immune dysfunction, it is important to evaluate the risk of sepsis and septic shock among PA patients and the benefit of targeting treatments to PA patients. Therefore, we took advantage of the National Health Insurance registration database to conduct a large longitudinal population study about the correlation between sepsis and PA.

Methods

Data source

Our study used a longitudinal database created by the National Health Research Institutes (NHRI) through extracting original Taiwan National Health Insurance (TNHI) data (23.12 million insured population in 2009) for all patients who had ever had a PA diagnosis from 1997 to 2009. This database enabled us to investigate each patient from the day of PA diagnosis until the day of death, NHI disenrollment, or the end of 2010, whatever occurred first. Disenrollment from Taiwan’s NHI is rarely observed because the NHI is universal and compulsory for Taiwan’s citizens and foreigners with residence permits. For a person who should enroll in the NHI, disenrollment only occurs when the person is going to be overseas for at least 6 months or has been missing for at least 6 months. The NHI covers a broad spectrum of health services. As indicated by the Taiwan National Health Interview Survey data, the NHI offers healthcare in almost all outpatient visits and hospital stays for Taiwan’s citizens. Thus, our database includes nearly all medical records for each patient.
We used a validated algorithm to identify PA patients, and enrolled patients aged ≥18 years at the time of first medical record of PA (9th edition of International Classification of Diseases, ICD-9 code 255.1). The administrative data on diagnosis of and identifying PA patients has been well validated [ 12]. Figure  1 depicts the algorithm for selecting study patients. We only enrolled patients who used mineralocorticoid receptor antagonist (MRA) (belonging to the Anatomical Therapeutic Chemical (ATC) classification system, class C03D), because this additional condition assured high values for both sensitivity and positive predictive value [ 12, 13]. Patients with aldosterone-producing adenoma (APA) were enrolled from patients with PA who had undergone adrenalectomy or received a diagnosis of adrenal adenoma [ 1214]. Each PA and APA patient was then matched with one patient with essential hypertension (EH) (without PA diagnosis and had used antihypertensive drugs) according to age, sex, and propensity score. We further separated PA and APA patients into two groups according to the target treatments, as those who received adrenalectomy or only MRA.

Baseline characteristics

Concomitant medication data associated with blood pressure and outcome were recorded. The inotropic agents used during sepsis were also identified. The NHRI claims data regarding adrenalectomy and medications are reliable because they were copied on the basis of the NHI procedure and drug codes that were tied to the NHRI reimbursement system with auditing. The indication and guideline for hypertensive management in Taiwan have been proposed and revised by the Taiwan Hypertension Society [ 15]. Briefly, a diagnostic algorithm was proposed, emphasizing the ESH/ESH joint hypertension guidelines suggestion to loosen BP targets to < 140/90 mmHg for all patients [ 15].

Outcomes

The main study outcome was incident sepsis after the index date. The identification of patients with sepsis was similar to that used by Lai et al. [ 16], who selected all acute-care hospitalizations with ICD-9-CM codes for both bacterial or fungal infection processes and a diagnosis of acute organ dysfunction. We used codes for acute organ dysfunction, as modified by Shen et al. [ 17] (Additional file  1). Sepsis was defined according to the American College of Chest Physicians/Society of Critical Care Medicine (ACCP/SCCM) as systemic inflammatory syndrome in response to infection, associated with acute organ dysfunction [ 18]. Septic shock was defined as sepsis with inotropic agents used during index episodes (Additional file  2). For patients with more than one hospital admission for sepsis during the study period, we only include the first episode of sepsis. We also recorded the risk of the all-cause mortality as the secondary outcome indicators. If a patient had not encountered any event at the time of NHI disenrollment or the end of 2010, we categorized this patient as a censored observation in our survival analysis.
To develop and test a standardized method for assessing the quality (completeness and accuracy) of clinical databases, a directory of clinical databases (DocDat) has been established [ 19]. In our database, most criteria had achieved Level 3 and Level 4, which indicated that our database had good quality and strength.

Statistical analysis

Continuous variables were expressed as a mean ± standard deviation and categorical variables were expressed as a percentage. We matched PA /APA patients to their EH patients using a greedy matching algorithm with a caliper width of 0.2 standard differences (SDs) of the log odds of the estimated propensity score. The sampling ratios between patients of PA to EH and of APA to EH were 1:1 [ 20, 21]. Statistical significance was defined as two-sided P < 0.05.
In various subsequent multivariable models for analyzing outcomes, we also took into account the propensity score for the PA diagnosis in order to minimize residual confounding effects in the matching process (Additional file  3). Additional adjustment in these models included control for direct effects from age, gender, concomitant medications (except inotropic agents), and comorbidities as presented in Table  1. Cox regression models with a conditional approach and stratification were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for the risk of sepsis, mortality, and septic shock in each group. In further parametric modeling with regard to factors associated with outcome, we adopted three modeling methods: simple Cox regression, multivariable Cox regression, and competing risk regression. Because of the high mortality rate and sepsis rate in patients of old age and male patients, competing risk regression using the Fine and Gray model by considering the subdistribution hazard was also performed [ 22].
Table 1
Comparison of characteristics between PA and EH patients, for the whole PA cohort and for the APA subgroup only
Category
Matched EH/PA
Matched EH/APA
EH
( n = 2448)
PA
( n = 2448)
p
EH
( n = 875)
APA
( n = 875)
p
Propensity score
−3.92 ± 1.72
− 3.92 ± 1.72
0.995
−0.95 ± 0.38
−0.95 ± 0.38
0.993
Male gender
1146 (46.81%)
1128 (46.08%)
0.626
375 (42.86%)
377 (43.09%)
0.961
Age
48.40 ± 13.52
48.40 ± 13.52
0.999
46.62 ± 12.77
46.31 ± 10.55
0.829
Comorbidity
 Congestive heart failure
11 (0.45%)
8 (0.33%)
0.647
2 (0.23%)
3 (0.34%)
0.999
 Cerebrovascular disease
105 (4.29%)
101 (4.13%)
0.831
29 (3.31%)
41 (4.69%)
0.179
 CKD
29 (1.18%)
43 (1.76%)
0.122
8 (0.91%)
7 (0.80%)
0.999
 COPD
91 (3.72%)
92 (3.76%)
0.999
19 (2.17%)
17 (1.94%)
0.867
 Coronary artery disease
1 (0.04%)
5 (0.20%)
0.218
N/A
N/A
N/A
 Dementia
10 (0.41%)
11 (0.45%)
0.999
1 (0.11%)
2 (0.23%)
0.999
 Diabetes mellitus
208 (8.50%)
203 (8.29%)
0.837
55 (6.29%)
66 (7.54%)
0.346
 Hemiplegia
7 (0.29%)
7 (0.29%)
0.999
1 (0.11%)
4 (0.46%)
0.374
 Liver disease
107 (4.37%)
100 (4.08%)
0.670
25 (2.86%)
32 (3.66%)
0.419
 Peptic ulcer
154 (6.29%)
138 (5.64%)
0.365
37 (4.23%)
48 (5.49%)
0.266
 Peripheral vascular disease
8 (0.33%)
7 (0.29%)
0.999
3 (0.34%)
2 (0.23%)
0.999
 Rheumatoid arthritis
15 (0.61%)
6 (0.25%)
0.078
2 (0.23%)
2 (0.23%)
0.999
 Solid tumor
43 (1.76%)
49 (2.00%)
0.599
14 (1.60%)
16 (1.83%)
0.854
 SLE
2 (0.08%)
2 (0.08%)
0.999
1 (0.11%)
1 (0.11%)
0.999
 AF
10 (0.41%)
10 (0.41%)
0.999
4 (0.46%)
2 (0.23%)
0.687
 Dyslipidemia
203 (8.29%)
194 (7.92%)
0.675
76 (8.69%)
65 (7.43%)
0.380
 Alzheimer disease
0 (0.00%)
1 (0.04%)
0.999
0 (0.00%)
1 (0.11%)
0.999
 Parkinson disease
14 (0.57%)
10 (0.41%)
0.540
4 (0.46%)
1 (0.11%)
0.374
Hypertensive drugs by categories
 Alpha-blocker
171 (6.99%)
187 (7.64%)
0.410
75 (8.57%)
78 (8.91%)
0.866
 ACEI or ARB
1014 (41.42%)
997 (40.73%)
0.642
417 (47.66%)
403 (46.06%)
0.533
 Beta-blocker
1165 (47.59%)
1157 (47.26%)
0.841
465 (53.14%)
473 (54.06%)
0.737
 Calcium-channel blocker
1556 (63.56%)
1528 (62.42%)
0.424
631 (72.11%)
626 (71.54%)
0.832
 Diuretic
1091 (44.57%)
1106 (45.18%)
0.687
416 (47.54%)
385 (44.00%)
0.150
Other concomitant medications
 Aspirin
62 (2.53%)
58 (2.37%)
0.782
20 (2.29%)
21 (2.40%)
0.999
 Clopidogrel
7 (0.29%)
8 (0.33%)
0.999
2 (0.23%)
5 (0.57%)
0.452
 Ticlopidine
10 (0.41%)
10 (0.41%)
0.999
2 (0.23%)
3 (0.34%)
0.999
 Warfarin
16 (0.65%)
10 (0.41%)
0.326
9 (1.03%)
3 (0.34%)
0.145
 PPI
79 (3.23%)
65 (2.66%)
0.271
24 (2.74%)
20 (2.29%)
0.647
 H 2 blocker
190 (7.76%)
176 (7.19%)
0.480
63 (7.20%)
61 (6.97%)
0.926
 Statin
119 (4.86%)
112 (4.58%)
0.686
38 (4.34%)
36 (4.11%)
0.906
 NSAID
1136 (46.41%)
1114 (45.51%)
0.547
408 (46.63%)
393 (44.91%)
0.502
 Steroid
182 (7.43%)
186 (7.60%)
0.871
67 (7.66%)
58 (6.63%)
0.458
 SSRI
58 (2.37%)
42 (1.72%)
0.129
19 (2.17%)
15 (1.71%)
0.604
 Nitrate
4 (0.16%)
5 (0.20%)
0.999
1 (0.11%)
0 (0.00%)
0.999
Inotropic agents used during index hospitalization
 Dopamine
3 (0.12%)
3 (0.12%)
0.999
2 (0.23%)
1 (0.11%)
0.999
 Norepinephrine
17 (0.69%)
16 (0.65%)
0.999
7 (0.80%)
2 (0.23%)
0.179
 Vasopressin
9 (0.37%)
0 (0.00%)
0.004
4 (0.46%)
0 (0.00%)
0.125
 Epinephrine
39 (1.59%)
39 (1.59%)
0.999
14 (1.60%)
2 (0.23%)
0.004
Outcome
 Sepsis
87 (3.55%)
104 (4.25%)
0.238
29 (3.31%)
9 (1.03%)
0.001
 Septic shock
58 (2.37%)
57 (2.33%)
0.999
19 (2.17%)
6 (0.69%)
0.014
 Mortality
273 (11.15%)
236 (9.64%)
0.092
84 (9.60%)
28 (3.20%)
< 0.001
All data presented as number (%), except mean age, Charlson Comorbidity Index Score, and propensity score
ACEI angiotensin-converting enzyme inhibitor, AF atrial fibrillation, APA aldosterone-producing adenoma, ARB angiotensin II receptor blocker, CKD chronic kidney disease, COPD chronic obstructive pulmonary disease, EH essential hypertension, NA nonavailable, NSAID nonsteroidal antiinflammatory drug, PA primary aldosteronism, PPI proton-pump inhibitor, SLE systemic lupus erythematosus, SSRI selective serotonin reuptake inhibitor
We used R software, version 2.8.1 (Free Software Foundation, Inc., Boston, MA, USA); competing risk analysis was performed with Stata/MP version 12 (Stata Corporation, College Station, TX, USA). Two-sided P < 0.05 was considered statistically significant.

Results

Characteristics of the study population

After propensity score matching, 2448 patients with PA were matched to the 2448 patients with EH (Fig. 1). Among these 4896 patients, only 22 patients (10 in PA group and 12 in EH group) disenrolled from the NHI before the end of 2010 and remained alive at the time of NHI disenrollment. These 22 patients were treated as censored observations with regard to outcome. The propensity score, gender, age, comorbidities, and ascertained drugs were not significantly different between the two cohorts. The mean age of the PA patients was 48.4 years at the time of PA diagnosis, and the proportion of men was 46.1% (Table 1). There were 875 patients who could be ascertained as APA and were matched with 875 EH patients (Fig. 1).

Long-term risks of sepsis and mortality between PA and matched EH patients

The PA cohort had a similar sepsis rate as the EH cohort (4.25% vs 3.55%, P = 0.238) during a mean follow-up period of 4.28 years. The mortality rate in the PA and EH cohorts was similar (9.64% vs 11.15%, P = 0.092) (Table 1).
The adjusted HR for developing sepsis among the PA cohort after target treatments, relative to the EH cohort, was 1.18 ( P = 0.250), taking into account the competing effects of death, corresponding to an absolute detrimental risk of 1.0 per 1000 person-years. The competing risk of mortality-adjusted HR for developing septic shock between the PA and EH cohorts was 0.96 ( P = 0.850) (Table  2). The adjusted HR after target treatments for developing morality among the PA cohort, relative to the EH cohort, was 0.84 ( P = 0.050) (Table 1).
Table 2
Incidence and risks for outcomes of interest between PA patients and their EH matches, for the whole PA cohort and for the APA subgroup only
Outcome
Crude
Adjusted a
Competing risk b
 
Events
Person-years
Incidence rate per 1000 person-years
Events
Person-years
Incidence rate per 1000 person-years
Hazard ratio (95% CI)
p
Hazard ratio (95% CI)
p
Hazard ratio (95% CI)
p
 
PA
EH
PA vs EH
Sepsis
104
13,652.95
7.6
87
13,144.31
6.6
1.15 (0.87, 1.53)
0.332
1.17 (0.88, 1.55)
0.286
1.18 (0.89, 1.57)
0.250
Septic shock
57
13,772.55
4.1
58
13,211.21
4.4
0.94 (0.65, 1.36)
0.754
0.96 (0.66, 1.38)
0.816
0.96 (0.67, 1.39)
0.850
All-cause mortality
236
13,836.93
17.1
273
13,268.23
20.6
0.83 (0.70, 0.99)
0.035
0.84 (0.71, 1.00)
0.050
N/A
N/A
 
APA
EH
APA vs EH
Sepsis
9
5550.02
1.6
29
5104.02
5.7
0.28 (0.13, 0.59)
0.001
0.28 (0.13, 0.59)
0.001
0.29 (0.14, 0.61)
< 0.001
Septic shock
6
5556.85
1.1
19
5122.85
3.7
0.28 (0.11, 0.71)
0.007
0.28 (0.11, 0.71)
0.007
0.30 (0.12, 0.75)
0.010
All-cause mortality
28
5567.03
5
84
5141.56
16.3
0.31 (0.20, 0.47)
< 0.001
0.31 (0.20, 0.47)
< 0.001
N/A
N/A
APA aldosterone-producing adenoma, CI confidence interval, EH essential hypertension, NA nonavailable, PA primary aldosteronism
*Multivariate Cox regression model selected covariates from all variables presented in Table 1 by a stepwise procedure
bCompeting risk regression model included age, gender, and propensity score as covariates
As shown in Table  3, patients with PA who received adrenalectomy had an attenuated risk of developing sepsis (adjusted HR 0.14, P = 0.001) compared to matched EH patients analyzed by the multivariate Cox regression model, even after accounting for the competing risk of death (competing hazard ratio (cHR) 0.14, P = 0.001; we used cHR as the hazard ratio after accounting for the competing risk of death). A similar result was also found in septic shock (cHR 0.14, P = 0.005) after accounting for the competing risk of death. Lower risk of mortality was also found in PA patients after adrenalectomy (adjusted HR 0.21, P < 0.001). However, PA patients with MRA had a higher risk of developing sepsis (cHR 1.49, P = 0.004) after taking death as a competing risk than patients with EH. Additional file  4 presents the risks from sepsis and death between PA patients and their EH matches without loss of follow-up patients, for the patients only by target treatments ( N = 4874).
Table 3
Comparison of risks from sepsis and death between PA patients and their EH matches, for the whole PA cohort and for the APA subgroup only by target treatments
Outcome
Adrenalectomy
MRA
Crude
Adjust a
Competing risk b
Crude
Adjusted a
Competing risk b
Hazard ratio (95% CI)
p
Hazard ratio (95% CI)
p
Hazard ratio (95% CI)
p
Hazard ratio (95% CI)
p
Hazard ratio (95% CI)
p
Hazard ratio (95% CI)
p
 
PA vs EH
PA vs EH
Sepsis
0.12 (0.04,0.39)
< 0.001
0.13 (0.04,0.41)
0.001
0.14 (0.04,0.44)
0.001
1.53 (1.15,2.04)
0.004
1.52 (1.14,2.03)
0.004
1.49 (1.12,1.98)
0.006
Septic shock
0.12 (0.03,0.49)
0.003
0.13 (0.03,0.53)
0.005
0.14 (0.03,0.55)
0.005
1.25 (0.87,1.81)
0.231
1.24 (0.86,1.80)
0.249
1.22 (0.84,1.76)
0.300
All-cause mortality
0.20 (0.12,0.33)
< 0.001
0.21 (0.13,0.36)
< 0.001
N/A
N/A
1.06 (0.89,1.26)
0.526
1.05 (0.88,1.25)
0.606
N/A
N/A
 
APA vs EH
APA vs EH
Sepsis
0.14 (0.04,0.45)
0.001
0.14 (0.04,0.46)
0.001
0.16 (0.05,0.53)
0.003
0.55 (0.23,1.35)
0.193
0.55 (0.22,1.33)
0.184
0.44 (0.18,1.07)
0.071
Septic shock
0.14 (0.03,0.60)
0.008
0.14 (0.03,0.61)
0.009
0.16 (0.04,0.67)
0.012
0.59 (0.20,1.78)
0.352
0.57 (0.19,1.70)
0.314
0.46 (0.15,1.36)
0.160
All-cause mortality
0.25 (0.14,0.43)
< 0.001
0.25 (0.15,0.44)
< 0.001
N/A
N/A
0.42 (0.24,0.76)
0.004
0.40 (0.22,0.72)
0.002
N/A
N/A
APA aldosterone-producing adenoma, CI confidence interval, EH essential hypertension, MRA mineralocorticoid antagonist, NA nonavailable, PA primary aldosteronism
aMultivariate Cox regression model selected covariates from all variables presented in Table 1 by a stepwise procedure. This model constructed adrenalectomy, steroid, and potassium supplement for hypokalemia as time-varying covariates
bCompeting risk regression model included age, gender, and propensity score as covariates

Long-term risks of sepsis and mortality between APA and matched EH patients

A lower sepsis rate was found in the APA cohort than in their matched EH cohort (1.03% vs 3.31%, P = 0.001) after target treatments during a mean follow-up period of 5.56 years (Table 1).
The adjusted HR for developing sepsis among the APA cohort after target treatments, relative to the EH cohort, was 0.29 ( P < 0.001) taking into account the competing effects of death (Table 2). Taking into account death as a competing risk, the adjusted HR for developing septic shock between the APA and EH cohorts was 0.30 ( P = 0.010). The adjusted HR for developing mortality among the APA cohort, relative to the EH cohort, was 0.31 ( P < 0.001) (Table 2).
As shown in Table 3, patients with APA with adrenalectomy had a lower risk of developing sepsis (cHR 0.16, P = 0.003) and mortality (adjusted HR 0.25, P < 0.001) than patients with EH. Inconsistent with the aforementioned result, a lower incidence was also found in developing septic shock (cHR 0.16, P = 0.012) by adjusting death as a competing risk in APA rather than EH patients. However, patients with APA with only MRA treatment did not benefit from a reduced incidence of sepsis (cHR 0.44, P = 0.071) and septic shock (HR 0.46, P = 0.160). Nonetheless, MRA treatment could attenuate the risk of mortality in APA patients (adjusted HR 0.40, P = 0.002).
In the subgroup analysis by forest plot, the benefit of adrenalectomy on decreasing the risk of developing sepsis was also noted in patients with PA/APA compared with matched EH patients (Fig.  2).
Furthermore, corresponding cumulative incidence curves that depict the accumulated proportions of incident sepsis showed a significantly lower rate in patients who received adrenalectomy than in patients under MRA treatment and EH patients after adjusting for age, gender, and Charlson morbidity index with death as a competing risk (Fig.  3a, b) (operation (OP) vs MRA, P < 0.001 and OP vs EH, P = 0.002 in PA group; OP vs MRA, p = 0.008 and OP vs EH, P = 0.001 in APA group).

Discussion

In this population-based cohort study, we demonstrated the treatment benefit of adrenalectomy on attenuating the sepsis incidence among PA patients. However, the effect of MRA treatment on sepsis may differ. In addition, the risk of adrenalectomy-related adrenal insufficiency and subsequent shock during septic status is not significant. In line with the previous findings, our results further indicate that patients with PA/APA could benefit from MRA treatment or adrenalectomy in terms of long-term all-cause mortality.

Immune system dysregulation with hyperaldosteronism

In addition to the regulatory role of the body fluid and electrolyte balance, prolonged exposure to hyperaldosterone causes cardiac and renal damage independent of high blood pressure levels [ 23, 24]. In light of recent concepts, chronic inflammatory disease could be attributed to sepsis [ 25, 26], and PA was regarded as a chronic inflammatory disease which may result from immune dysfunction.
Heart failure in patients with PA is attributed to the overproduction of oxidative stress and proinflammatory cytokine augmented by hyperaldosterone [ 6, 27]; this phenomenon was reported to be promoted by aldosterone and related to dysfunction of innate and adaptive immunity. On the other hand, proinflammatory cytokines could also play an important role. Krysiak and Okopien reported that higher levels of tumor necrosis factor alpha (TNF-α), interleukin 6 (IL-6), and interleukin 1 beta (IL-1β) from monocytes/macrophages and of interleukin 2 (IL-2), interferon gamma (IFN-γ), and TNF-α from lymphocytes were found in patients with APA than in patients with EH [ 28].
The possibility of glucocorticoid co-secretion in PA has been demonstrated by Arlt et al. [ 10], which could be an important reason for the higher sepsis risk in patients with PA. Glucocorticoid could alter and influence the cellular response to infection and the humoral component [ 29]. These conditions indicate that glucocorticoid excess is associated with immune dysfunction and is responsible for the susceptibility to infections.
Previous studies demonstrated that the role of the renin–angiotensin–aldosterone system according to increasing aldosterone level was noted after endotoxin infusion in an animal model [ 30]. In addition, Annane et al. [ 31] revealed that the patients with septic shock who received hydrocortisone plus fludrocortisone for 7 days had better long-term outcome than the placebo group. These studies showed the potential benefit of aldosterone and glucocorticoid in sepsis. However, long-term exposure to a high aldosterone level of PA patients may increase their sepsis risk resulting from chronic inflammation and immune dysfunction.

Long-term outcome after target treatments to aldosteronism

In our study, adrenalectomy gains the benefit of ameliorating sepsis; however, MRA treatment may differ. PA patients exhibited decreased levels of transforming growth factor beta (TGF-β) and TNF-α, compared to normotensive patients; however, MRA treatment could only restore levels of TGF-β [ 32]. These results may, at least partly, explain the reason for the limited benefit of MRA treatment on decreasing the sepsis risk in patients with PA.
In addition, adrenalectomy might yield a therapeutic effect more rapidly [ 33], and it takes more than 1 year to ameliorate overhydration [ 34] and 6 years to observe reductions in left ventricular wall thickness and masses in PA patients after MRA treatment [ 35].
The benefit of adrenalectomy could also be explained by glucocorticoid co-secretion in PA. In recent studies, adrenalectomy in patients with APA could decrease glucocorticoid secretion, restore osteoporosis, attenuate adverse metabolic risk, and improve the quality of life [ 10, 22, 36, 37], which are attributed to decreased glucocorticoid levels in addition to mineralocorticoid excess.

Adrenal dysfunction and sepsis/septic shock

Adrenal insufficiency was noted after unilateral adrenalectomy in patients with Cushing syndrome [ 38]; however, there were few reports about adrenal insufficiency in PA patients after unilateral adrenalectomy. Honda et al. [ 39] demonstrated that the cortisol level is sustained with an elevated adrenocorticotropic hormone (ACTH) level in APA patients who had status post unilateral adrenalectomy, which has raised the possibility of clinical adrenal insufficiency among them. Activation of the renin–angiotensin–aldosterone system (RAAS) is an important mechanism to preserve volume status and vascular tone [ 40]. However, high levels of inflammatory cytokines in patients with sepsis will inhibit adrenal cortisol synthesis [ 41]. Our results identified that APA patients who received unilateral adrenalectomy would not augment the risk of septic shock, as a result of adrenal insufficiency during severe stress.

Adrenalectomy and MRA treatment gains the benefit of long-term all-cause mortality

The long-term different outcome of PA patients treated with adrenalectomy or MRA is still under debate. In our study, APA patients with adrenalectomy and MRA both had lower mortality than EH patients. We have found that adrenalectomy may reduce long-term all-cause mortality among PA patients, while MRA prescription may also help in this regard when its dosage is appropriate [ 13]. Interestingly, some small-scale studies have shown no difference between surgically and medically treated patients with PA in terms of the incidence of cardiovascular events [ 33, 42]. Our result raises an important, at least partial, account for the long-term improvement of mortality by sepsis in PA patients out of proportion to cardiovascular event improvement that only benefits substantially from adrenalectomy in the long-term follow-up.

Study limitations

There were several limitations to our study. First, the diagnosis of PA, APA, and EH and the morbidities were identified by ICD-9-CM codes. Even though this study has a large patient size, some degree of misclassification might have affected the identification of patients. Second, as an observational study, there was still the possibility of selection bias and unmeasured confounding factors in our study. The results of our study could only demonstrate the association between aldosterone and sepsis, and it is hard to prove a causal relationship between aldosterone and sepsis and mortality in this study. We still need further investigation to clarify the relation between hyperaldosteronism and immune dysfunction. Third, the NHIRD did not contain information on several factors, including body mass index, nutritional status, and laboratory findings. However, a placebo-controlled randomized clinical trial regarding MRA or adrenalectomy over as many years as in our observational study is not possible nor is it ethically acceptable to conduct; our prospective follow-up study provided a valid alternative [ 43]. Fourth, this study used population-based health insurance registration data, where the diagnostic results were not ‘controlled’ as ideally as some single or multicenter clinical studies could have easily achieved.

Conclusions

Our study demonstrated that patients with aldosteronism under adrenalectomy could attenuate the incidence of sepsis compared to patients with EH; however, patients receiving long-term MRA treatment may differ. Unilateral adrenalectomy of APA will not augment a risk of adrenal insufficiency under the stress of sepsis. We further found that APA patients under adrenalectomy and MRA treatments both had a lower mortality rate than EH patients. Further investigation is therefore necessary to clarify the effect of aldosterone on immune dysfunction.

Acknowledgements

The study was partly based on data provided by the National Health Insurance Administration, Ministry of Health and Welfare, Taiwan. The interpretation and conclusions shown in this article do not represent those of the National Health Insurance Administration, Ministry of Health and Welfare, National Health Research Institutes, or National Taiwan University Hospital. The authors also express sincere gratitude to all staff of the Taiwan Clinical Trial Consortium (TCTC).
Membership of the Taiwan Primary Aldosteronism Investigation (TAIPAI) Study Group: Vin-Cent Wu, MD (NTUH); Chieh-Kai Chan (NTUH Hsin-Chu branch); Jui-Hsiang Lin, MD (Tao-Yuan General Hospital); Wei-Jie Wang, MD, PhD (Tao-Yuan General Hospital); Che-Hsiung Wu, MD, Ya-Hui Hu, Leay Kiaw Er, Chia-Hui Chang, Ya-Li Chang, Yao-Chou Tsai, and Chih-Chin Yu (Taipei Tzu Chi Hospital); Yen-Hung Lin, MD (NTUH); Yi-Luwn Ho, MD, PhD (NTUH); Hung-Wei Chang, MD, PhD (Far Eastern Hospital); Lian-Yu Lin MD, PhD (NTUH); Fu-Chang Hu, MS, ScD (Harvard Statistics); Chin-Chen Chang and Kao-Lang Liu, MD (NTUH); Shuo-Meng Wang, MD (NTUH); Kuo-How Huang, MD (NTUH); Shih-Chieh Jeff Chueh, MD, PhD (Cleveland Clinic); Shih-Cheng Liao, MD (NTUH); Ching-Chu Lu and Ruoh-Fang Yen, MD, PhD (NTUH); and Kwan-Dun Wu, MD, PhD (NTUH, Director of Coordinating Center).

Funding

This study was supported by Taiwan National Science Council (101–2314-B-002-085-MY3, 102–2314-B-002-140-MY2, 104–2314-B-002-125-MY3, 106–2314-B-002-166-MY3,107–2314-B-002-026-MY3), National Health Research Institutes (PH-102-SP-09), National Taiwan University Hospital (106-FTN20, 106-P02, UN106–014, 106-S3582, 105-P05, VN105–04, 105-S3061, 107-S3809, 107-T02), and Ministry of Science and Technology (MOST) of the Republic of China (Taiwan) (grant number MOST 106–2321-B-182-002).

Availability of data and materials

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

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Zusatzmaterial
Literatur
Über diesen Artikel

Weitere Artikel der Ausgabe 1/2018

Critical Care 1/2018 Zur Ausgabe

Neu im Fachgebiet AINS

Mail Icon II Newsletter

Bestellen Sie unseren kostenlosen Newsletter Update AINS und bleiben Sie gut informiert – ganz bequem per eMail.

Bildnachweise