ARTICLE
Auteur(s) : Marta Suárez-Santamaría1, Francisco Santolaria2,
Alina Pérez-Ramírez2, María-Remedios
Alemán-Valls2, Antonio Martínez-Riera2,
Emilio González-Reimers2, María-José
de la Vega1, Antonio Milena1
1Biochemistry laboratory
2Department of Internal Medicine, University
Hospital of the Canary Islands, Tenerife, Spain
accepté le 14 Octobre 2009
Sepsis is defined as a systemic inflammatory response of the
host to infection. Excessive immune response, with overproduction
of inflammatory mediators, results in tissue damage and organ
dysfunction [1, 2]. Sepsis presents a wide range of severity and is
one of the major causes of death. Hence the need for precise
staging and prognostic assessment based on clinical data and on
easily available laboratory parameters [3-5].
Procalcitonin (PCT) and C-reactive protein (CRP) have proved
useful in the diagnosis of bacterial infection and sepsis [6-9].
Like other mediators of the inflammatory response, PCT correlates
with the severity of sepsis. PCT may also serve to discriminate
between severe sepsis and less severe forms of infection [10, 11].
However, there is some controversy about its prognostic value for
mortality compared with other inflammatory markers, organ
dysfunction, and with disease severity scores such as Sequential
Organ Failure Assessment (SOFA) [12-26].
The objective of this study was to analyse the prognostic value
for short-term mortality of serum PCT levels, and of other
mediators of the inflammatory response, such as CRP,
pro-inflammatory (TNF-α and IL-6) and anti-inflammatory
[IL-10 and IL-1 receptor antagonist (IL-1ra)] cytokines,
lipopolysaccharide-binding protein (LBP), soluble receptor
CD14 (sCD14), and triggering receptor expressed on myeloid
cells-1 (TREM1) in patients hospitalized for sepsis. We also
compared its prognostic value with those of nutritional status and
organ dysfunction.
Patients and methods
We prospectively studied 253 patients with sepsis
(146 men and 107 women), with a median age of
65 years (range 19-94 years) throughout 2007. All
patients were hospitalized at the Hospital Universitario de
Canarias. Two hundred and three patients with community-acquired
sepsis were included after evaluation at the emergency department,
and 50 patients with nosocomial infection at the time of
diagnosis.
Clinical evaluation
A complete clinical history was recorded and physical examination
performed for all patients. Basic chemistry and blood tests,
arterial blood gas determinations and chest radiography were
performed. Hospital admission and type of care (conventional:
125 or critical: 128) was decided upon by the team on duty;
microbiological studies were requested by the patient’s physician.
In addition to the 253 patients mentioned above, four other
patients were excluded as a non-infectious diagnosis was
established during follow-up.
Sepsis was defined as clinical evidence of infection, plus two
or more of the following criteria for systemic inflammatory
response syndrome (SIRS): 1) temperature > 38° or < 36°C; 2)
heart rate > 90 beats/m; 3) respiratory rate > 20/m or
PaCO2 < 32 mmHg; and 4) WBC > 12.000 or
< 4.000 cells/mm3, or > 10% immature forms).
Sepsis was considered severe when it was associated with
hypoperfusion, or organ dysfunction such as metabolic acidosis,
oliguria, or an acute alteration in mental status (otherwise, the
diagnosis was non-complicated sepsis). Septic shock was diagnosed
when hypotension (systolic blood pressure of < 90 mmHg or a
reduction of ≥ 40 mmHg from baseline) persisted despite
adequate fluid therapy or when vasoactive amines were needed [2].
Finally, the sequential organ failure assessment (SOFA) score was
determined at inclusion, and organ failure was considered as a
score of 10 points or more [27]. Seventy two cases were
diagnosed with non-complicated sepsis, 115 severe sepsis,
43 septic shock and 23 with organ failure.
Comorbidity
Eighty three patients were diabetic, 37 had cancer,
46 were receiving steroids or immunosuppressive treatment,
28 had HIV infection, 41 cognitive impairment,
44 excessive ethanol intake, and 24 with cirrhoses. In
50 cases, the sepsis was nosocomial in origin, with 16 of
them appearing after surgery.
Sepsis localization
One hundred and forty cases of sepsis were of pulmonary origin,
35 urinary, 11enteric, 10 biliary, 19 other
abdominal and 17 cutaneous; there were four cases each of
endocarditis and arthritis, three cases each of meningitis and of
catheter-related sepsis, and seven cases of unknown origin.
Organ function was assessed by the SOFA score, which is based on
six criteria: 1) respiratory function assessed by
PaO2/FiO2; 2) coagulation by platelet count;
3) liver function by bilirubin levels; 4) cardiovascular function
by the presence of hypotension and the need for dopamine,
dobutamine or norepinephrine; 5) central nervous system function by
the Glasgow coma scale; and 6) renal function by oliguria and serum
creatinine levels [27, 28].
Nutritional assessment
Weight and height were recorded at admission, with further
calculation of body mass index as weight/height2. To
assess visceral proteins, we determined serum prealbumin, albumin,
transferrin, and IGF-1. Total lymphocyte and CD4 counts were
determined to assess the T cell response. Handgrip strength was
determined by dynamometry; it was only considered in cooperative
patients with a Glasgow score no lower than 14.
Subjective nutritional evaluation (SNS) included examination of
the muscle mass of the upper and lower limbs and of the temporal
muscle, defining two degrees of atrophy (severe, moderate), and
absence of atrophy; we assigned 2, 1 and 0 points to each
category. Bichat’s fat and subcutaneous fat atrophy, recorded by
physical examination of the fat loss on the cheek and abdomen,
respectively, were scored in the same way. Thus, we obtained a
subjective nutritional score based on the sum of the assigned
points. As previously reported, a score of 0 to 2 was
considered normal, one of 3-4 points as mild malnutrition, and
higher than 4 points as severe malnutrition [29].
Mediators of the inflammatory response
After inclusion, blood samples were taken and frozen at − 40°C
for further determination, by chemiluminiscent enzyme immunometric
assay (IMMULITE analyzer) of: IGF-1 sensitivity:
20 ng/mL, [Diagnostic Products Corporation (DPC), Los Angeles,
USA]; TNF-α, sensitivity of 1.7 pg/ml (DPC, Los Angeles, USA);
IL-6, sensitivity: 2 pg/mL (DPC, Los Angeles, USA); IL-10,
sensitivity of 1 pg/mL (DPC, Los Angeles, USA); high
sensitivity CRP, sensitivity of 0.02 mg/dL (DPC, Los Angeles,
USA); and lipopolysaccharide binding protein (LBP), sensitivity of
0.2 μg/mL (DPC, Los Angeles, USA). We used enzyme immunoassay
to determine IL-1ra, sensitivity of 4 g/mL (BioSource Europe
SA, Nivelles. Belgium); sCD14, sensitivity of 0.24 ng/mL
(Immuno-Biological Laboratories, Hamburg, Germany); Leptin,
sensitivity of 0.5 ng/mL (BioVendor Heidelberg, Germany); and
Insulin, sensitivity of 1 μU/mL (Abbott Laboratories,
Wiesbaden, Germany). Soluble triggering receptor expressed on
myeloid cells-1(sTREM-1) was determined by a customised enzyme
immunoassay, sensitivity 4.7 pg/mL (R & D InC,
Minneapolis, USA). PCT was determined using a quantitative
inmunoluminometric assay, sensitivity: 0.04 ng/mL (LIAISON
BRAHMS PCT, Brahms Diagnostics, Berlin, Germay). Serum leptin and
insulin were also determined in 53 healthy controls
(30 men and 23 women, age range 26-86 years)
obtained from healthy hospital workers and their relatives. The
study was approved by the institutional review board of the
hospital; informed consent was obtained from all patients.
Statistical analysis (SPSS15.0)
As serum cytokine and other inflammatory markers were not
distributed normally, we used the non-parametric Kruskal-Wallis and
Mann-Whitney U tests, Spearman’s correlation coefficient,
Chi-2 and Fisher’s exact test when necessary. Mortality was
assessed mainly at day 28 (49 deaths), but also at day
7 after diagnosis of sepsis and at discharge to assess
short-term prognosis. The predictive value of continuous variables
for mortality was determined by receiver operating characteristics
(ROC) curves with calculation of the area under the receiver
operating characteristics curve (AUROC). Stepwise logistic
regression was performed in order to discern which parameters
yielded independent predictive value for survival. Fifty five
patients died during hospitalization; the 198 patients who
were discharged were followed up by telephone to assess long-term
mortality at six months and one year after discharge. Data are
presented as median, 25th and 75th
percentiles.
Results
Within 28 days of diagnosis of sepsis, 49 (19%) patients
had died. Mortality was closely related to sepsis severity, with
none of the 43 patients with non-complicated sepsis having
died. Death was recorded in 13 out of 115 patients with
severe sepsis (11.3%), 21 out of 72 with septic shock
(29%) and 15 out of 23 with organ failure (55%), (p <
0.001). Increasing age was related with the mortality rate.
Mortality rates per age group were: 6% in patients aged
35 years or less, 19% in those aged 36-85 years, and 40%
in those aged > 85 years (p = 0.048). As shown in table 1, most of the inflammatory markers
increased significantly with the severity of sepsis, except for
sCD14, LBP and CRP.
As shown in table 2, the variables
most closely related with 28-day mortality were organ dysfunction
(SOFA and Glasgow coma scores), serum lactate, ferritin and LDH
levels, and nutritional data such as SNS, handgrip strength and
serum transferrin levels, whereas inflammatory markers showed only
a moderate correlation. Among the inflammatory markers, elevated
IL-10 and IL-6 showed a higher correlation with mortality
than increased PCT, TNF, IL-1ra and TREM-1 and decreased LBP,
whereas CRP and sCD14 were not related to mortality.
The relationship between PCT and mortality was weaker than those
of the other inflammatory markers. Regarding the time course, the
relationship between PCT and mortality was only significant at day
28, whereas TNF, TREM-1, IL-1ra, IL-6 and IL-10 were also
related to mortality at day 7 and at the end of the hospital
stay; IL-6 and IL-10 were also related to mortality after
six months and one year. LBP, which increased with the severity of
sepsis, was related to mortality at day 28, but, paradoxically,
patients who died showed lower serum LBP levels.
Procalcitonin levels were significantly related to the severity
of sepsis. Patients with a PCT > 0.5 ng/mL had a relative
risk [RR (CI 95%)] of 4.1 (2.2-8.1) for either severe sepsis
or worse; as PCT increased, the risk increased. For PCT >
3.3 ng/mL, the RR was 24.3 (3.3-180), whereas none of the
patients whose PCT reached 10 ng/mL had non-complicated
sepsis. Also, IL-6 and IL-10 were closely related to
severity; IL-6 >170 pg/mL had a RR of
17.2 (2.3-127) and IL-10 > 25 pg/mL had a RR of
developing severe sepsis, septic shock or organ failure of
14.6 (2-109).
Blood cultures were performed in 205 patients, and
36 of them (18%) were positive after excluding contaminants.
Positive blood cultures were not directly related to mortality, but
to severity of sepsis. Only 3% of patients with non-complicated
sepsis showed positive blood cultures, whereas in those with severe
sepsis, or a more advanced form, blood cultures were positive in
20.5% of cases. Positive blood cultures were found in 53% of
patients with a SOFA score > 10 (p = 0.001). Patients with
positive blood cultures showed increased levels of inflammatory
markers. The best inflammatory marker for predicting positive blood
culture was PCT, with an AUROC of 0.693 (0.598-0.787),
followed by TNF-α, 0.677 (0.585-0.768) and IL-1ra,
0.664 (0.572-0.755). Only 6% of patients with a PCT <
0.5 ng/mL had positive blood cultures, whereas 35% of those
with a PCT ≥ 10 ng/mL showed positive blood cultures (p =
0.001).
Regarding the origin of the sepsis, the most frequent focus was
the lung, with 140 cases (55%). Pulmonary sepsis was more
frequent in men (62%) than in women (46%) (p = 0.013). Patients
with pulmonary sepsis had more predisposing factors, worse
nutritional status and a blunted inflammatory response with lower
serum cytokine levels (table 3). Blood
cultures were also less frequently positive (11% versus 24%) in
pulmonary sepsis than in non-pulmonary sepsis (p = 0.025), whereas
organ failure (SOFA) and death at 28 days (21% versus 18%) -
or during the hospital stay (24% versus 19%) - were not
significantly different. However, pulmonary sepsis was related to
severe comorbidities such as dementia, cancer, liver cirrhosis and
immunosuppressive therapy (including steroids). So, despite a
similar age, pulmonary sepsis was related to higher, long-term
mortality after six month or one year. Moreover, regarding the
capacity to predict 28-day mortality in sepsis according
to origin, inflammatory markers, nutritional assessment and organ
function data had better predictive value in non-pulmonary than in
pulmonary sepsis (table 4). The
following parameters showed a greater area under the ROC curve
(non-pulmonary/pulmonary), PCT (0.679/0.534)
IL-10 (0.792/0.626), IL-6 (0.774/0.619) serum transferrin
(0.826/0.753), serum ferritin (0.817/0.673), lactate (0.837/0.756)
and SOFA (0.854/0.737).
PCT only showed a moderate relationship to mortality. To
determine whether it had independent prognostic value for
mortality, we performed a logistic regression analysis including
PCT, IL-6, IL-10 with SNS and SOFA. Procalcitonin was bettered
by IL-10, SNS and SOFA.
We did not find increased serum leptin levels in patients with
sepsis as compared with controls. There were no significant
differences in these levels between non-complicated sepsis and
severe sepsis; however, patients with septic shock and organ
failure showed significantly decreased serum leptin levels when
compared to patients with less severe forms of sepsis (p <
0.001). Serum leptin levels correlated directly to nutrition (BMI,
SNS, serum cholesterol, albumin prealbumin and transferrin), and
inversely with serum IL-6 levels. Patients who died showed
lower serum leptin levels than those who survived.
Table 1 Inflammatory markers in the diverse stages of
sepsis
|
Sepsis (n) median
(25th-75th)
|
Severe sepsis (n) median
(25th-75th)
|
Septic shock (n) median
(25th-75th)
|
Organ failure (n) median
(25th-75th)
|
KW
|
p
|
|
PCT ng/mL
|
(43) 0.33 (0.10-0.96)
|
(115) 0.7 (0.15-2.3)
|
(72) 3.1 (0.77-16.9)
|
(23) 9.5 (1.84-48.2)
|
51.1
|
0.000
|
|
CRP μg/mL
|
(42) 14.2 (7.2-23.4)
|
(114) 15.4 (8.2-26.5)
|
(72) 19.0 (9.7-31.2)
|
(23) 18.6 (15.8-28.4)
|
6.20
|
0.100
|
|
TNFα pg/mL
|
(43) 11.3 (6.5-18.5)
|
(115) 14.8 (9.2-25.2)
|
(72) 24.3 (13.1-58.2)
|
(23) 34.4 (22.5-81.9)
|
49.5
|
0.000
|
|
IL-6 pg/mL
|
(43) 31.2 (10.8-58.5)
|
(115) 44.6 (22.1-108)
|
(72) 114 (38.6-554)
|
(23) 231 (120-2010)
|
55.8
|
0.000
|
|
sTREM-1 pg/mL
|
(43) 47.4 (27-67.8)
|
(115) 55.1 (39.2-69.3)
|
(72) 56.7 (43.8-81.7)
|
(23) 66.9 (40.6-108)
|
8.07
|
0.045
|
|
IL-10 pg/mL
|
(43) 5 (5-8.6)
|
(114) 5.4 (5-15.5)
|
(72) 14.1 (6.5-72.5)
|
(23) 27.4 (11.8-103)
|
49.7
|
0.000
|
|
IL-1ra pg/mL
|
(43) 1010 (402-1690)
|
(115) 916 (534-2636)
|
(72) 2030 (1056-2860)
|
(23) 2860 (2073-2860)
|
38.3
|
0.000
|
|
CD14s ng/mL
|
(43) 10667 (8440-14282)
|
(115) 10271 (7732-13603)
|
(72) 11764 (8227-14994)
|
(23 10191 (7495-13127)
|
2.37
|
0.499
|
|
LBP μg/mL
|
(42) 119 (83-177)
|
(115) 117 (68-184)
|
(72) 135 (64-212)
|
(23) 130 (67-252)
|
1.48
|
0.688
|
|
Leptin ng/mL
|
(40) 7.87 (2.63-18.1)
|
(108) 13.4 (4.78-32.7)
|
(71) 4.72 (2.0-12.4)
|
(22) 3.54 (2.14-8.81)
|
21.6
|
0.000
|
Table 2 Prognostic value of inflammatory markers,
nutritional assessment and organ function data in sepsis
|
Alive at day 28 (n) median (25th-75th)
|
Deceased (n) median (25th-75th)
|
MW U
|
AUROC (95% CI)
|
|
z
|
p
|
|
PCT ng/mL
|
(204) 1.07 (0.25-3.64)
|
(49) 3.86 (0.46-11.3)
|
2.14
|
0.032
|
0.598 (0.506-0.691)
|
|
CRP μg/mL
|
(202) 17.2 (9.0-27.5)
|
(49) 18.6 (9.8-29.4)
|
0.40
|
0.687
|
0.519 (0.432-0.605)
|
|
TNFα pg/mL
|
(204) 15.8 (10-27.4)
|
(49) 22.5 (11.8-49.1)
|
2.51
|
0.012
|
0.615 (0.525-0.706)
|
|
IL-6 pg/mL
|
(204) 49.1 (23.1-133)
|
(49) 145 (49.3-422)
|
3.73
|
0.000
|
0.672 (0.586-0.758)
|
|
sTREM-1 pg/mL
|
(204) 52.5 (38-74.9)
|
(49) 60.1 (49.5-79.3)
|
2.13
|
0.033
|
0.598 (0.520-0.676)
|
|
IL-10 pg/mL
|
(203) 6.4 (5-16.3)
|
(49) 21.9 (6.3-90)
|
4.24
|
0.000
|
0.690 (0.604-0.776)
|
|
IL-1ra pg/mL
|
(204) 1171 (598-2860)
|
(49) 2860 (789-2860)
|
2.72
|
0.007
|
0.623 (0.533-0.714)
|
|
CD14s ng/mL
|
(204) 10838 (8360-14101)
|
(49) 9809 (7006-14137)
|
1.14
|
0.252
|
0.447 (0.349-0.545)
|
|
LBP μg/mL
|
(202) 122 (77-200)
|
(49) 88 (45-157)
|
2.00
|
0.045
|
0.592 (0.500-0.684)
|
|
SNS
|
(204) 3 (2-4)
|
(49) 4 (3-7)
|
4.70
|
0.000
|
0.714 (0.636-0.792)
|
|
Handgrip lb
|
(146) 12 (2-30)
|
(20) 0 (0-4)
|
3,97
|
0.000
|
0.770 (0.663-0.877)
|
|
Transferrin mg/dL
|
(202) 164 (130-205)
|
(41) 119 (91-132)
|
5.70
|
0.000
|
0.781 (0.707-0.855)
|
|
Cholesterol mg/dL
|
(203) 129 (99-167)
|
(41) 105 (73-141)
|
3.12
|
0.002
|
0.655 (0.561-0.748)
|
|
IGF1 ng/mL
|
(198) 68.8 (45.9-97.2)
|
(39) 51.4 (29.8-72)
|
3.26
|
0.001
|
0.665 (0.577-0.754)
|
|
Leptin ng/mL
|
(194) 8.77 (3.51-22.7)
|
(47) 4.29 (2.15-12.4)
|
2.39
|
0.017
|
0.612 (0.522-0.702)
|
|
Insulin μU/mL
|
(194) 12.3 (7.73-24.9)
|
(47) 8.4 (3.9-19.5)
|
2.95
|
0.003
|
0.639 (0.546-0.732)
|
|
Creatinine mg/dL
|
(204) 1 (0.7-1.7)
|
(49) 1.3 (0.85-2.3)
|
1.34
|
0.181
|
0.561 (0.470-0.653)
|
|
BUN mg/dL
|
(204) 23 (16-35)
|
(49) 27 (20.5-41)
|
1.77
|
0.078
|
0.581 (0.494-0.668)
|
|
LDH UI/L
|
(204) 440 (332-670)
|
(48) 995 (608-2279)
|
5.97
|
0.000
|
0.777 (0.694-0.860)
|
|
Ferritin ng/mL
|
(202) 339 (157-757)
|
(41) 1103 (385-2000)
|
4.87
|
0.000
|
0.741 (0.653-0.830)
|
|
Glasgow
|
(204) 14 (13-15)
|
(49) 13 (12-14)
|
4.69
|
0.000
|
0.707 (0.624-0.789)
|
|
PaO2/fiO2
|
(204) 309 (206-401)
|
(49) 266 (207-331)
|
3.48
|
0.001
|
0.660 (0.571-0.749)
|
|
Systolic BP mmHg
|
(204) 100 (80-120)
|
(49) 82 (70-100)
|
3.36
|
0.001
|
0.654 (0.567-0.740)
|
|
Lactate mmol/L
|
(204) 1.90 (1.30-2.98)
|
(49) 4.10 (2.30-7.70)
|
6.12
|
0.000
|
0.781 (0.707-0.855)
|
|
SOFA
|
(204) 4 (2-6)
|
(49) 8 (5-11)
|
6.24
|
0.000
|
0.786 (0.719-0.853)
|
Table 3 Differences between pulmonary and non-pulmonary
sepsis
|
Pulmonary (n) median (25th-75th)
|
Non-pulmonary (n) median (25th-75th)
|
U MW
|
|
z
|
p
|
|
PCT ng/mL
|
(140) 0.98 (0.17-4.01)
|
(113) 1.39 (0.31-8.36)
|
1.75
|
0.080
|
|
CRP μg/mL
|
(138) 15.7 (8.36-27.2)
|
(113) 18.6 (12.3-28.3)
|
1.75
|
0.081
|
|
TNFα pg/mL
|
(140) 13.6 (9.10-26.1)
|
(113) 22.3 (13.1-40.4)
|
4.00
|
0.000
|
|
IL-6 pg/mL
|
(140) 48.2 (21.6-150)
|
(113) 75.1 (29.9-184)
|
2.40
|
0.016
|
|
sTREM-1 pg/mL
|
(140) 52.7 (39.7-67.8)
|
(113) 59.8 (39.2-85.5)
|
2.10
|
0.035
|
|
IL-10 pg/mL
|
(139) 6.6 (5-18.0)
|
(113) 9.3 (5-41.1)
|
2.33
|
0.020
|
|
IL-1ra pg/mL
|
(140) 1094 (535-2695)
|
(113) 1724 (1862-2860)
|
3.08
|
0.002
|
|
CD14s ng/mL
|
(140) 9836 (7637-13656)
|
(113) 11417 (8579-14740)
|
2.44
|
0.014
|
|
LBP μg/mL
|
(138) 116 (60.6-186)
|
(113) 133 (82.2-216)
|
2.20
|
0.028
|
|
SNS
|
(140) 4 (2-6)
|
(113) 3 (1-4)
|
4.04
|
0.000
|
|
BMI kg/m2
|
(140) 24.4 (21.8-26.8)
|
(113) 26.2 (23.7-29.9)
|
3.97
|
0.000
|
|
Transferrin mg/dL
|
(133) 156 (126-200)
|
(110) 149 (112-186)
|
1.69
|
0.103
|
|
CD4/mm3
|
(130) 342 (195-567)
|
(113) 483 (268-686)
|
2.62
|
0.009
|
|
Leptin ng/mL
|
(133) 5.59 (2.21-16.6)
|
(108) 10.5 (4.30-24.2)
|
2.37
|
0.003
|
|
Insulin μU/mL
|
(133) 10.9 (6.50-22.5)
|
(108) 12.0 (7.42-24.3)
|
0.72
|
0.472
|
|
Creatinine mg/dL
|
(140) 1 (0.7-1.5)
|
(113) 1.3 (0.9-2.1)
|
3.21
|
0.001
|
|
BUN mg/dL
|
(140) 23 (15-34.8)
|
(113) 26 (20-36)
|
2.15
|
0.031
|
|
LDH UI/L
|
(140) 472 (339-818)
|
(112) 478 (341-839)
|
0.43
|
0.667
|
|
Ferritin ng/mL
|
(133) 406 (174-1013)
|
(110) 401 (155-988)
|
0.23
|
0.820
|
|
Glasgow
|
(140) 14 (13-15)
|
(113) 14 (13-15)
|
0.26
|
0.792
|
|
PaO2/fiO2
|
(140) 281 (240-338)
|
(113) 344 (276-420)
|
0.11
|
0.912
|
|
Systolic BP mmHg
|
(140) 100 (80-120)
|
(113) 90 (80-117)
|
1.31
|
0.189
|
|
Lactate mmol/L
|
(140) 2 (1.4-3.0)
|
(113) 2.2 (1.5-3.6)
|
1.26
|
0.208
|
|
SOFA
|
(140) 5 (3-7)
|
(113) 5 (2-8)
|
0.365
|
0.715
|
Table 4 Prognostic value of inflammatory markers in
non-pulmonary sepsis
|
Alive at day 28 (n) median (25th-75th)
|
Deceased (n) median (25th-75th)
|
U MW
|
AUROC (95% CI)
|
|
z
|
p
|
|
PCT ng/mL
|
(93) 1.20 (0.29-5.03)
|
(20) 7.77 (1.36-29)
|
2.75
|
0.006
|
0.697 (0.573-0.820)
|
|
CRP μg/mL
|
(93) 17.9 (12.3-27.6)
|
(20) 21.5 (11-31)
|
0.54
|
0.591
|
0.538 (0.397-0.679)
|
|
TNFα pg/mL
|
(93) 20.2 (12.3-34.5)
|
(20) 35.8 (22.5-81.3)
|
3.36
|
0.001
|
0.740 (0.631-0.849)
|
|
IL-6 pg/mL
|
(93) 58.5 (26.1-157)
|
(20) 251 (103-2229)
|
3.84
|
0.000
|
0.774 (0.664-0.885)
|
|
sTREM-1 pg/mL
|
(93) 54.7 (38.1-80.8)
|
(20) 72.4 (56.9-97.5)
|
2.11
|
0.035
|
0.651 (0.527-0.775)
|
|
IL-10 pg/mL
|
(93) 6.8 (5-16.6)
|
(20) 72.4 (18.4-1411)
|
4.15
|
0.000
|
0.792 (0.674-0.911)
|
|
IL-1ra pg/mL
|
(93) 1429 (855-2860)
|
(20) 2860 (1713-2860)
|
2.82
|
0.005
|
0.605 (0.563-0.828)
|
|
CD14s ng/mL
|
(93) 11417 (8782-14292)
|
(20) 11693 (7088-16192)
|
0.38
|
0.701
|
0.473 (0.302-0.643)
|
|
LBP μg/mL
|
(93) 133 (86.3-218)
|
(20) 138 (44.5-208)
|
0.88
|
0.379
|
0.563 (0.411-0.715)
|
|
SNS
|
(93) 2 (1-4)
|
(20) 5 (3-7)
|
3.87
|
0.000
|
0.772 (0.647-0.897)
|
|
Transferrin mg/dL
|
(92) 164 (122-196)
|
(18) 103 (77-124)
|
4.36
|
0.000
|
0.826 (0.729-0.922)
|
|
Cholesterol
|
(93) 127 (95-170)
|
(18) 101 (60-131)
|
2.41
|
0.016
|
0.680 (0.548-0.812)
|
|
IGF1 ng/mL
|
(91) 73 (44-100)
|
(17) 45.2 (29.3-73.3)
|
2.21
|
0.027
|
0.669 (0.538-0.800)
|
|
Leptin ng/mL
|
(90)13.9 (4.7-32.7)
|
(18) 6.05 (3.13-11.1)
|
2.37
|
0.018
|
0.677 (0.556-0.799)
|
|
Insulin μU/mL
|
(90) 12.4 (7.8-25.9)
|
(18) 7.5 (2-20)
|
2.32
|
0.021
|
0.673 (0.520-0.827)
|
|
Creatinine mg/dL
|
(93) 1.2 (0.85-1.75)
|
(20) 1.6 (1-2.3)
|
1.25
|
0.211
|
0.589 (0.450-0.728)
|
|
BUN mg/dL
|
(93) 24 (17.5-34.5)
|
(20) 31.5 (24.3-46.5)
|
2.29
|
0.022
|
0.663 (0.542-0.785)
|
|
LDH UI/L
|
(93) 452 (334-701)
|
(19) 1374 (624-2288)
|
4.22
|
0.000
|
0.808 (0.694-0.923)
|
|
Ferritin ng/mL
|
(92) 327 (142-678)
|
(18) 1364 (476-3417)
|
4.24
|
0.000
|
0.817 (0.705-0.929)
|
|
Glasgow
|
(93) 14 (13-15)
|
(20) 13 (12-14)
|
3.35
|
0.001
|
0.728 (0.608-0.849)
|
|
PaO2/fiO2
|
(93) 350 (290-422)
|
(20) 318 (177-371)
|
2.16
|
0.031
|
0.654 (0.513-0.795)
|
|
Systolic BP mmHg
|
(93) 97 (80-117)
|
(20) 80 (70-113)
|
1.91
|
0.056
|
0.635 (0.484-0.787)
|
|
Lactate mmol/L
|
(93) 2 (1.4-3.2)
|
(20) 5.10 (3.43-8.88)
|
4.72
|
0.000
|
0.837 (0.723-0.951)
|
|
SOFA
|
(93) 4 (2-6.5)
|
(20) 10 (7-13)
|
4.98
|
0.000
|
0.854 (0.769-0.939)
|
Discussion
In recent years, PCT has been considered as one of the main
inflammatory markers for the diagnosis of sepsis. Moreover, it has
been proposed as an additional criterion to improve the SIRS for
sepsis diagnosis [3, 5]. It has proved useful to diagnose the more
severe forms of sepsis [7, 10, 11, 21, 22], or to diagnose
pneumonia in patients with lower respiratory tract infection [30,
31]. In our study, PCT was related to severity of infection and
showed the best ability to discriminate between patients with
non-complicated sepsis and good prognosis from more serious forms
of sepsis. Moreover, positive blood cultures were related to
severity of sepsis and to higher PCT levels. Only 3% of our
patients with non-complicated sepsis showed positive blood
cultures, whereas in those with severe sepsis, or worse, 20.5%
showed positive blood cultures, and when SOFA was higher than 10,
53% had positive blood cultures. Patients with positive blood
cultures showed elevated inflammatory markers, with PCT being the
most increased. Many studies have reported raised PCT values in
patients with bacteremia [13, 17, 18, 31-34].
However, there is some controversy about the prognostic value of
PCT for mortality. While some authors [6, 19, 20, 22-24, 26, 35,
36] have found some predictive ability of PCT (determined at day
1 of the onset of sepsis), others have not [12, 34]. Yet
others have reported that PCT determined at day 1 showed no
prognostic value, but PCT determined later did correlate with
mortality [13-16]. Dahaba et al. (2006), in a study of
postoperative patients with severe sepsis, reported that the best
discriminative value of PCT for mortality is reached at day 6 [15].
Regarding the possible independent predictive value of PCT, Phua
et al. (2007) reported that IL-6, IL-10, lactate and SOFA were
better outcome predictors than PCT determined on the first day of
sepsis; Heper et al. (2006) reported that IL-10 and TNF
were better predictors of mortality than PCT; Lee et al.
(2008) found that the predictive value of PCT is surpassed by
Mortality in Emergency Department Score (MEDS); and Ruiz-Alvarez
et al. (2009) reported that, on multivariate analysis, PCT was
displaced by CRP, and SOFA [16, 21, 25, 37]. However, Meng
et al. (2009), reported that a PCT of over 10 ng/mL was a
better predictor of outcome than APACHEII [36].
Our results showed inflammatory markers to be moderately useful
as predictors of 28-day mortality (table 2), but the area under the receiver
operating characteristics curve was less than 0.700 in all
cases, whereas nutritional data (subjective nutritional score),
handgrip or serum transferrin), and organ damage data (LDH,
lactate, ferritin or SOFA), all showed an area under the receiver
operating curve of over 0.700. According to our data and regarding
mortality, PCT was not an ideal inflammatory marker, being
surpassed by IL-6 and IL-10. Moreover, PCT showed no
independent prognostic value, as on multivariate analysis it was
displaced by SNS, SOFA and IL-10. The relationship between PCT and
mortality was only significant at day 28; it was not significant at
other times (day 7, at discharge, or after six months and one year
from inclusion). Neither did the prognostic value of PCT improve
when we considered PCT values over 10 ng/mL.
Pulmonary sepsis was observed in half of our patients with
sepsis, and the differences with cases of non-pulmonary sepsis are
noteworthy (table 4). Patients with
pulmonary sepsis showed worse nutrition, less frequent bacteremia
and a blunted inflammatory response, with a less marked increase in
inflammatory mediators. However, there were not many differences
regarding organ function (decreased creatinine and BUN were rather
related to impaired nutrition and decreased muscle mass). Early
death (at day 7 and 28 or during the hospital stay), was
similar in pulmonary and non-pulmonary sepsis patients. However,
patients with pulmonary sepsis were more frequently affected by
some of the severe predisposing factors such as cancer, dementia,
cirrhosis, immunosuppression and malnutrition, so, despite similar
age, pulmonary sepsis was related to higher, later mortality rates
(after six months or one year).
These differences between pulmonary and non-pulmonary sepsis
probably explain, in part, why the prognostic factors are more
useful in non-pulmonary sepsis. Whereas outcome in pulmonary sepsis
may be more related to severe predisposing conditions, such as
cancer or dementia, in non-pulmonary sepsis, inflammatory
mediators, malnutrition and data for impaired organ function were
closely related to the prognosis. Regarding the capacity of
inflammatory markers, nutritional assessment and organ dysfunction
data to predict outcome after 28 days, the area under the ROC
curve was greater in non-pulmonary sepsis. The differences observed
between pulmonary and non-pulmonary sepsis indicate two different
types of sepsis. One, pulmonary, in which severe predisposing
factors are frequent, with impaired nutrition, less bacteremia, a
less intense inflammatory response and higher long-term mortality,
and another, non-pulmonary, with fewer underlying factors, better
nutrition and a greater inflammatory response.
Two of the inflammatory markers, CRP and sCD14, did not show any
relationship with severity of sepsis or with 28-day mortality. CRP
is a widely used diagnostic marker of sepsis, but has not shown a
strong relationship with mortality [17, 26, 35, 38].
CD14 receptor may be detached from the membrane and can be
determined as soluble CD14. Landmann et al. (1995) and
Burgmann et al. (1996), reported that patients who died from
sepsis showed raised serum sCD14 levels [39, 40]. In
accordance with other studies on pneumonia, we found no differences
regarding survival [41].
Lipopolysaccharide binding protein (LBP) showed paradoxical
behaviour. Whereas LBP levels increase in sepsis, especially in
patients with bacteremia, and directly correlated with other
inflammatory mediators [42], we found that decreased LBP related to
poor prognosis: patients who died had lower values than patients
who survived, as reported by Opal et al. (1999) [43]. However,
these results have not been confirmed by other studies [41,
44].
There is some controversy about leptin in sepsis. Maruna
et al. (2001) [45] consider it to be an acute phase reactant,
as it increases in post-surgical sepsis. However, in our patients,
serum leptin levels were related to nutrition and inversely
correlated with IL-6 levels. Patients with septic shock and
organ failure, and those who died, showed lower serum leptin levels
than those who survived. These results are similar to those
reported by Aleman et al. (2002) in lung cancer and Diez
(2008) in community-acquired pneumonia patients [46, 47]. So, we
suggest that in patients with sepsis, leptin should be considered
as a nutritional parameter rather than as an inflammatory
marker.
In conclusion, the prognostic value of PCT and other
inflammatory markers was only moderate, being surpassed by
nutritional and organ function data. The best inflammatory markers
related to mortality were IL-6 and IL-10, rather than PCT,
which was only poorly related. However, among the inflammatory
markers, PCT proved the best predictor of bacteremia and
progression of sepsis, showing greater ability at discriminating
between non-complicated and more severe forms of sepsis. The
markers sCD14 and CRP showed no ability to predict
outcome.
Acknowledgments
Funding support for this work was provided by a FUNCIS (Fundación
Canaria de Investigación y Salud) grant P139/04.
Disclosure. None of the authors has any conflict of interest to
disclose.
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