Research Article (Open access) |
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Int. J. Life. Sci. Scienti. Res., 4(3):
1766-1773,
May 2018
Use of Procalcitonin
for Optimizing Antimicrobial Therapy in Long Term ICU Patients
Shilpee Kumar1, Karan Sachdeva2, Santhosh
Rajan3, Monika Matlani4*
1Associate
Professor, Department of Microbiology, Vardhman Mahavir Medical College &
Safdarjung Hospital, Delhi, India
2MBBS
Student, Vardhman Mahavir Medical College & Safdarjung Hospital, Delhi,
India
3Post
Graduate, Department of Microbiology, Vardhman Mahavir Medical College &
Safdarjung Hospital, Delhi, India
4Assistant
Professor, Department of Microbiology, Vardhman Mahavir Medical College &
Safdarjung Hospital, Delhi, India
*Address for correspondence: Dr. Monika Matlani, Assistant
Professor, Department of Microbiology, Vardhman Mahavir Medical College &
Safdarjung Hospital, Delhi, India
ABSTRACT- Most of the studies are
conducted to evaluate the role of procalcitonin in the diagnosis and management
of sepsis at the time of admission or in a defined set of patients [Respiratory
infection, surgical sepsis, neonatal sepsis, emergency department, burn
patients etc]. The aim of the study was to determine the role of serial
monitoring of PCT-serum level with the clinical assessment of the patients and
guiding the antimicrobial therapy. The study was conducted for two months and
all patients admitted to ICU with suspected sepsis, were included in the study.
Patient’s demography, SOFA score, APACHE II score and other laboratory
parameters were recorded. The blood sample was collected on the day of
admission and on alternate days till ten days of admission or discharge from
ICU whichever comes earlier. The sera were separated and quantitative
estimation of PCT was done by ELISA based technique. In total seven patients were
included in the study. The median baseline level of PCT was 135.45ng/ml, higher
than the other studies. The baseline level had no correlation with severity of
illness. Two of the patients admitted
with septic shock succumbed to infection. There was 30% increase in PCT from
baseline in these patients. All patients who improved clinically and transfer
out of the ICU and survived showed >10% decrease in PCT. The percent change
in PCT started increasing a day before clinical deterioration in one of the patient.
Hence percent change in PCT level may be used as a supportive marker while
escalating/ de-escalating/ continuing same antimicrobial therapy.
Key words- Procalcitonin, Sepsis, Serial monitoring, Intensive care unit
[ICU], Antimicrobial
Therapy
INTRODUCTION- Systemic inflammation
is a common problem in Intensive care unit (ICU) and fever is one of the most
common symptoms seen in such patients. The etiology of fever could be
infectious or non-infectious [1]. The infectious causes require early diagnosis and immediate
treatment with appropriate antibiotics, as failing to do so could result in
significant morbidity and mortality associated with sepsis [2]. In other cases where non-infectious insults are responsible for
systemic inflammatory response syndrome (SIRS), the diagnosis remains difficult
and results in over use of antibiotics [3]. Moreover, most of the patients in ICU with the slowly evolving
disease are often colonized with bacteria at multiple sites and hence some
degree of inflammation is always there [4]. Hence clinicians are often in dilemma to decide whether there is
persisting inflammation or a new infection, whether to start a new course of
antibiotics or wait and observe with the existing antibiotics.
The available diagnostic tools to differentiate between infectious
and non-infectious SIRS are of little help. Microbiological examinations
confirmed bacteremia in only about 30% of patients with sepsis [5] and the result takes several hours to days. Systemic inflammatory
markers, such as C reactive protein (CRP) and erythrocyte sedimentation rate
(ESR), have poor sensitivity and specificity in diagnosing bacterial infections
[6]. Hence, a biomarker to rapidly and accurately identify sepsis is
warranted for use in the clinical setting.
Currently, procalcitonin (PCT) has emerged as a promising
biomarker for bacterial infections. PCT is a precursor protein of calcitonin.
Unlike calcitonin, which is only produced in the C-cells of the thyroid gland,
PCT can be produced ubiquitously throughout the human body. The production of
PCT is up-regulated by pro-inflammatory cytokines, bacterial endotoxins, and
lipopolysaccharide. Interferon gamma, a cytokine associated with viral
infections, reduces the up-regulation of PCT. It has been shown that PCT levels
in non-infectious febrile conditions, such as autoimmune diseases or fever
caused by malignant disorders stay low. Furthermore, an increase in PCT levels
can be monitored within 4 to 6 h after the start of infection [7–11].
Many studies are conducted to evaluate the role of procalcitonin
in diagnosis and management of sepsis at the time of admission in the emergency
department [12]. Most of these patients often utilize emergency department as the
first point of healthcare contact [12]. The clinical need to differentiate infectious from non-
infectious SIRS is particularly important in such set up as diagnosing or
excluding infection can alter treatment care of patient e.g starting
antibiotics, admit vs discharge. It has been found that the PCT may offer a
more tailor made treatment to the individual patient with fever in the
emergency department.
Other studies are conducted in a defined set of patients
(Respiratory infection, surgical sepsis, neonatal sepsis, burn patients etc.).
For patients with community-acquired pneumonia, the serum PCT concentration is
able to differentiate bacterial from viral causes. Post-cardiotomy patients,
who are at particularly high risk for postoperative infections and frequently
develop postoperative SIRS and circulatory failure that can mimic severe bacterial
infection, have been the focus of particular interest. However, the accuracy of
PCT to distinguish infected from non-infected patients in this setting is poor [12].
The present study was
conducted in ICU (Medical surgical) of a large public sector tertiary care
hospital. The patients admitted here are often referred from other private or
small healthcare facilities. Majority of the patients suspected to have sepsis
have already been receiving antibiotics. This makes the clinical decision even
more difficult e.g. whether to continue the same antibiotic or escalates/
de-escalate the antibiotics. As this set up is usually not the first point of
healthcare contact of patients, the baseline level of procalcitonin will not
reflect the level in the initial days of illness or before starting the
antibiotic. Hence single point measurement of PCT has limited role here.
Therefore the aim was to address the role of serial PCT-serum monitoring in ICU
patients to predict
mortality and treatment failure in sepsis and guiding
antimicrobial therapy.
MATERIAL AND METHODS
The ethical approval of this
study was taken from the Institute Ethics Committee before starting the study.
Written informed consent was obtained from all patients or their relatives
before enrollment.
Study design- Prospective
observational study.
Study site- The study was conducted at Intensive Care Unit [Medical
and Surgical] of a tertiary care Hospital, Delhi, India. The hospital is a 1531
bedded, tertiary care, government hospital. The daily average out-patient
department visits are 9538 and in-patient admission is 434. The ICU (Medical
and Surgical) is eight bedded and admits patients with medical or surgical
complications and hence caters mixed population.
The hospital provides
diagnostic laboratory support for multiple disciplines like hematology,
pathology, histopathology, biochemistry etc. The hospital has also clinical
microbiology laboratory that performs microscopy, serology, culture,
identification, and sensitivity of various micro-organism by conventional
and/or molecular techniques as per standard microbiological protocol [13]. The laboratory participates in internal and external quality
assurance program.
Study Duration- The study was
conducted for 2 months in August and September 2017.
Inclusion criteria- All
patients staying for more than 24 hours in the ICU suspected to have sepsis
were consecutively enrolled in the study. The
study subjects were grouped into severe sepsis and septic shock based on
American College of Chest Physicians/Society of Critical Care Medicine
(ACCP/SCCM) Consensus guidelines [14,15].
Exclusion Criteria- Patients
were excluded from the study if anticipated duration of stay was under 24
hours, severe immunocompromised, autoimmune disease, on chemotherapy or on
chronic steroid therapy.
Follow up period- All
patients included in the study were contacted telephonically on within
28 days of ICU admission to find out 28 days mortality if any.
Data Collection- At admission, the patient’s age, sex, height, and weight was
recorded. Daily record of the clinical status of the patients was maintained.
These data included the following: clinical status (severe sepsis or septic
shock); Acute Physiology and Chronic Health Evaluation (APACHE)-II score; SOFA
score, temperature; heart rate; respiratory rate; blood pressure; central
venous pressure; laboratory analysis and arterial blood gas analysis. The daily
course of the treatment and antimicrobials therapy was also recorded. The final
determination of the patient’s status was done retrospectively, on the basis of
the complete patient charts, results of microbiological cultures and other
investigations requested by attending physician.
Estimation of Human procalcitonin- Quantitative estimation of serum PCT was measured
by using QAYEE-BIO manufactured by Qayee
Biotechnology Co., Ltd. Shanghai [Lot No. 08/2016 (96T), Cat No QY-E02848] as
per manufacturer instruction. The blood sample
was collected from eligible patients on alternate days till 10 days of
admission in ICU. Blood samples were centrifuged at 3000g for
10 min and serum was collected in sterile tubes and stored at –20°C until
assayed to avoid loss of bioactivity and contamination.
Statistical analysis- All data
was entered in a Microsoft Excel 2010 sheet. The percentage increase or
decrease of procalcitonin was calculated as follows-
(Baseline PCT value- PCT value on subsequent days)/ Baseline PCT
value and multiply by 100
RESULTS- During the study period, there were total ten patients that were
admitted to ICU with suspected sepsis. Three of the patients were excluded from
the study as one patient was shifted out of the ICU within 24hours of stay, one
was on chronic steroid therapy and one expired on day one of admission. In
total seven patients were included in the study.
To maintain confidentiality each patient included in the study has
been given ID no from 1 to 7 and the results are described accordingly. Table 1 shows
the characteristics of patients admitted, specific diagnosis on ICU admission,
length of stay in ICU, predicted mortality as per APACHE-II and SOFA scoring
system and 28 day mortality.
It was observed that the predicted
mortality by APACHE-II and SOFA score system, of two patients were 71% and 95%
respectively. Both of these patients admitted with septic shock and expired in
the hospital. Blood culture did not show any growth in any of these patients.
Table 1:
Characteristics of the patients admitted to ICU with
suspected sepsis
Patient ID No |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
Age, Years |
20 |
45 |
40 |
38 |
69 |
28 |
55 |
Gender |
F |
M |
M |
M |
M |
F |
M |
Diagnosis |
Perforation peritonitis |
Acute pancreatitis |
Necrotizing soft tissue infection with Fournier’s
gangrene |
Necrotizing Pancreatitis |
Left Parotid carcinoma with radical parotidecto-my
with aspiration & right lung consolidation |
Uterine perforation with colon perforation |
Ruptured liver abscess with exploratory laparotomy |
Sepsis classification |
Septic shock |
Septic shock |
Septic shock |
Severe Sepsis |
Severe Sepsis |
Severe Sepsis |
Severe Sepsis |
Length of stay in ICU, days |
3 |
10 |
10 |
7 |
14 |
3 |
3 |
APACHE II predicted mortality |
71% |
71% |
51% |
15% |
40% |
12% |
15% |
SOFA predicted mortality |
95% |
95% |
40-50% |
33% |
33% |
33% |
33% |
28 day mortality |
Yes |
Yes |
No |
No |
No |
No |
Not traceable |
Table 2 describes the fall or rise of
serum level of PCT since admission of the patient in ICU till discharge. The
longest stay of the patient admitted with suspected sepsis in ICU was ten days.
Hence monitoring of serum level of PCT was done till day 9 of admission. The
median level of PCT at the time of admission was 135.45ng/ml.
Table 2: Serum Pocalcitonin level# on serial monitoring
of patients suspected with sepsis
Patient ID No |
1 |
2 |
3* |
4 |
5 |
6 |
7 |
Baseline level |
135.45 |
105.85 |
152 |
108.45 |
176.3 |
254.40 |
125.35 |
Day 3 |
179.5 |
106.65 |
152.55 |
126.2 |
164.15 |
182.1 |
119.1 |
Day 5 |
Exp |
107.0 |
137.75 |
113.35 |
158.4 |
Tf |
Tf |
Day 7 |
|
111.2 |
126.3 |
109 Tf |
151.25 |
|
|
Day 9 |
|
134.6 |
126.1 |
|
151 |
|
|
# Serum PCT values expressed in ng/ml;
Exp- Expired; Tf- Transferred out of the ICU;
*The patient was transferred out on Day 10
Table 3 describes the percentage change
of serum level of PCT from baseline level. Percent increase of serum PCT was
observed in three patients, two of them expired having percent increase of 30%.
The patient who survived, there was 16% PCT increased on day 3 but the level
started falling on subsequent days and percent increase on day 7 was only 1%
when patient was transfer out based on clinical assessment.
Table 3: Percentage
change of Serum procalcitonin level from baseline level on serial monitoring
Patient ID No |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
Day 3 |
+31 |
+1 |
0 |
+16 |
-7 |
-30 |
-5 |
Day 5 |
|
+1 |
-9 |
+5 |
-10 |
|
|
Day 7 |
|
+5 |
-17 |
+1 |
-14 |
|
|
Day 9 |
|
+31 |
-17 |
|
-14 |
|
|
+
Percentage increase, - Percentage decrease
Table 4 describes the antibiotic regimen prescribed to the
patients during their stay in ICU. All patients were given injectable broad
spectrum and combination of antibiotics (except patient 3 on day 1 &2). The
regimen covered both gram negative and gram positive organism. Three patients
were also given metronidazole (Patient 1, 6 & 7) due to suspicion of sepsis
caused by abdominal flora that has proportionately more number of anaerobic
bacteria.
Table 4: Antibiotic
treatment of patient admitted in ICU with suspected sepsis
Patient ID No |
1 |
2 |
3 |
4 |
5* |
6 |
7 |
Day 1 |
Ip+Mz+Te |
Te+Mp |
Mp |
Te+Mp |
Te+Mp+Co |
Ip+Mz+PT |
Ip+Mz+PT |
Day 2 |
Ip+Mz+Te |
Te+Mp |
Mp |
Te+Mp |
Te+Mp+Co |
Ip+Mz+PT |
Ip+Mz+PT |
Day 3 |
Ip+Mz+Te |
Lz+Tg+PT+Co |
Te+Mp |
Te+Mp |
Te+Mp+Co |
Ip+Mz+PT |
Ip+Mz+PT |
Day 4 |
|
Lz+Tg+PT+Co |
Te+Mp |
Te+Mp |
Te+Mp+Co |
|
|
Day 5 |
|
Tg+PT+Co |
Te+Mp |
Te+Mp |
Te+Mp+Co |
|
|
Day 6 |
|
Tg+PT+Co |
Te+Mp |
Te+Mp |
Te+Mp+Co |
|
|
Day 7 |
|
Tg+PT+Co |
Te+Mp |
Te+Mp |
Te+Mp+Co |
|
|
Day 8 |
|
Tg+PT+Co+Va+Casp |
Te+Mp |
|
Te+Mp+Co |
|
|
Day 9 |
|
Tg+PT+Co+Va+Casp |
Te+Mp |
|
Te+Mp+Co |
|
|
Day 10 |
|
Tg+PT+Co+Va+Casp |
Te+Mp |
|
Te+Mp+Co |
|
|
Ip=
Imipenem; Mz= Metronidazole; Te= Teicoplanin; Mp= Meropenem; Lz= Linezolid; Tg =
Tigecycline; PT= Piperacillin-Tazobactum; Co= Colistin; Va= Vancomycin; Casp =
Caspofungin; *The patient transferred out on day 14 of ICU admission on Te+Mp.
The monitoring of PCT may offer a more tailor made treatment to
the individual patients with fever admitted in ICU. Prospective cost analysis
will reveal the economic consequences of implementing PCT guided therapy in
long term ICU patients. This may contribute to an optimized antibiotic regimen
with beneficial effects on microbial resistance.
DISCUSSION- Many patients admitted in ICU and treated intensively, bacterial
colonization at multiple sites and some degree of inflammation is nearly
unavoidable [4]. In such patients, the daily dilemma of
deciding whether there is a new infection versus persisting inflammation
and whether to start a new course of antimicrobials versus waiting and observing is well known to clinicians.
Appropriate and timely treatment with antimicrobials could save lives, whereas
excessive and prolonged treatment favours the emergence of multi-resistant
strains [4]. The available diagnostic tools are of
little help. Clinical signs and laboratory parameters are even less specific
than in the initial phase, infection always has to be suspected, and
microbiology, seldom specific, requires time to give results. Measurements of
these inflammatory markers at ICU admission or even in the emergency room are
thought to distinguish between inflammations without infection and to delineate
the various degrees of inflammatory response to infection [4]. Treatment decisions are adapted daily to
the changing clinical severity of the patient, and objective criteria for doing
this are often lacking.
PCT has been evaluated in multiple clinical settings as a tool to
distinguish bacterial infection from other inflammatory states and infectious
processes [12]. In addition, PCT has demonstrated diagnostic, prognostic, and
management utility. Of particular relevance to this study, four meta-analyses
have reported on PCT performance in the diagnosis of sepsis and/ or bacteremia.
Two suggested that PCT is superior to other markers such as CRP and should be
used in sepsis diagnosis [16,17] whereas the others found either a moderate or poor ability for
PCT to identify sepsis in critically ill patients [5,18]. As evidenced by these divergent results, it remains
unclear what role PCT can and should play in the management of septic patients.
In the present study, the baseline serum PCT level ranged from 105-254 ng/ml and is not correlating with severity of the disease (Table 1). The median level of PCT at the time of admission was 135.45ng/ml. The level observed in the study is much higher when compared to other studies. For a prospective cohort of 78 patients with SIRS symptoms admitted to the ICU, including 60 with subsequently confirmed bacterial infection, a PCT threshold of 1.1 ng/mL predicted bacterial infection with 97% sensitivity but only 78% specificity [19]. PCT concentrations of another cohort of 101 unselected patients with SIRS symptoms were associated with infection severity, and 1 ng/mL predicted bacterial infection with 89% sensitivity and 94% specificity [20]. The three meta-analyses conducted on this subject have yielded conflicting results [5,16,21]. One of it analyzed 3244 patients included in 30 studies. Heterogeneity of the results among studies was very high (I2 = 96%). The overall optimal PCT threshold of 1.1 ng/mL to detect bacterial sepsis gave a mean sensitivity of 77% [95% confidence interval (CI) 72–81%] and a mean specificity of 79% (95% CI 74 – 84%) [5].
Thus, although PCT is associated with bacterial infections in ICU
patients, its diagnostic accuracy as a biomarker remains inadequate. Several
factors may explain this poor performance. First, PCT increases with a 24-48 h
time lag after infection onset, which reduces the effectiveness of crude PCT
measured when infection is suspected. Second, PCT remains elevated for up to
several weeks after infection onset. Because ICU patients may be subjected to
several bacterial insults during their ICU stay, PCT might still be elevated due
to previous episodes, thereby lowering its specificity to detect a new
infection. Third, PCT does not rise during localized infections, even severe,
such as mediastinitis or abscesses. Lastly, many conditions associated with ICU
care [profound circulatory failure, major surgery, trauma, pancreatitis, etc.
trigger systemic release of inflammatory mediators responsible for non-specific
PCT increase [12].
To better quantify the fall in procalcitonin levels, the
percentage change in the PCT value from the baseline value as a prognostic
marker was calculated (Table 3). It was observed that there was 30% increase in
percent change of PCT in two patients. These patients were admitted to ICU with
septic shock and succumbed to infection. One patient admitted with severe
sepsis, also showed rise in PCT level and percent increased up to 16%. This
patient improved by day 7 of admission and shifted out of ICU. All other
patients who survived, there was fall in the level and percent change of PCT.
The percent decreased varied from 5 to 30%. The level of percent decrease in
survivors and percent increase in non survivors are not as high as observed in
other studies.
Karlsson et al.[22] found that a substantial decrease in the procalcitonin level at
72 h (>50% decrease) was associated with a lower hospital mortality (12.2%)
as compared to those with < 50% decrease (29.8%, P= 0.007); however this was not an independent predictor of
mortality. Suberviola et al.[23] found that a decreasing value of procalcitonin (over 72 h) among
88 patients with septic shock was an independent predictor of survival (odds
ratio 0.1); procalcitonin clearance of 70% differentiated survivors from non-
survivor with a sensitivity of 94.7% and a specificity of 53%. Among 64
postoperative ICU patients with severe sepsis/septic shock, Tschaikowsky et
al.[24] showed that a fall in procalcitonin level to ≤50% of the
baseline was an independent predictor of survival; the sensitivity was good
[97%], but the specificity was only 35%. Li et al. [25] in a recent study on 102 septic patients from an ICU in China,
showed that the level of PCT decreased in survivors from D1 to D3 and D5 while
there was no change in the level in NS (P<0.05).
As shown in table 4, the percent change of PCT in patient 2 was
stable till day 5, but started rising from day 7. As per clinical assessment,
the antibiotics were escalated on day 8. But the PCT kept rising and may be
infection and patient succumbed to his illness on day 10 of admission. Hence
the escalation of antibiotic could have been done a day earlier based on serum
PCT result.
A strategy based on PCT concentration kinetics was proposed to
detect unfavorable infection evolution under antibiotics and to guide treatment
escalation in the large, randomized, multicenter, Procalcitonin and Survival
Study (PASS) [12]. In total, 1200 ICU patients were randomized to receive standard
antibiotic guidance or PCT-guided antimicrobial-spectrum escalation. Serum PCT
was measured daily after infection onset. ‘Alert PCT’, defined as PCT ≥ 1
ng/mL and <10% decrease from the previous day, served as a signal indicating
that the infection might be uncontrolled. On ‘alert PCT’ days, physicians
collected culture samples from possible infection sites and were encouraged to
obtain diagnostic imaging, and then had to follow an algorithm to guide
antibiotic escalation. Adequate antibiotic treatment was initiated slightly
earlier for PCT group patients with bloodstream infections (-0.1 days vs. 0.8
days; P= 0.02), but the timing remained comparable for other infections. 28-Day
mortality was comparable (31.5% vs. 32%; relative risk = 0.98, 95% CI
0.83–1.16; P = 0.83), but the PCT group consumed more antibiotics (6 days vs. 4
days; P = 0.001) and had longer ICU stays (6 days vs. 5 days; P = 0.004) and
times on mechanical ventilation (+4.9%), dialysis and vasopressors [12].
This study has some limitations. First,
all patients presented late to the ICU, after being managed in other healthcare
facilities and hence the time of the first procalcitonin estimation was not the
day one of severe sepsis or septic shock. Second, the number of patients
enrolled in the study were too less to do any statistical analysis or
extrapolate the results to other patients admitted in ICU. Third, there was no
growth in blood culture of any of the patient. Hence the causative agent of
sepsis, its antimicrobial susceptibility pattern, its relation with prescribed
antibiotic and its relation with the level of PCT could not be analyzed.
Fourth, the kit used to detect serum level of PCT is based on ELISA. Expertise
is required to perform the test. The time taken to perform the test is
approximately 2 hour. With every test, at least six standard controls are
required to put into plot standard curve. As the test is not simple and rapid,
limits its use for single sample.
CONCLUSIONS- There is paucity of data, substantiation and inclination of
physicians to initiate or deescalate the antibiotic treatment based on
PCT-guided algorithms for severely ill patients. This may be attributed to
inaccuracy and less reliability of biomarkers to determine bacterial infections
in these patients. Considering the possible adverse outcomes of delaying
antibiotics for critically ill patients, crude PCT concentration may not be
adapted as a reliable tool sought to guide antibiotic escalation/ de-escalation
in the ICU. However the present study shows that delta PCT or percent change in
PCT level might prove to be a valuable tool and can be used as supportive
marker while deciding antimicrobial therapy. Further studies using larger
sample size will be vital to establish PCT and delta PCT as the reliable
markers for rationalizing antibiotic therapy amongst the ICU patients for
improved outcomes.
ACKNOWLEDGEMENTS- We would like to acknowledge Ms Shikha Puri for providing technical support by processing te samples for ELISA.
CONTRIBUTION OF AUTHORS- All authors equally contributed in this
research article.
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