Prognostic value of procalcitonin in hospitalized patients with lower respiratory tract infections.

INTRODUCTION

Lower respiratory tract infections (LRTIs) include a broad and heterogeneous spectrum of diseases that affect patients with varying degrees of severity, from those receiving Primary Care to those receiving intensive care. Moreover, LTRIs are prevalent and potentially lethal. In Brazil, pneumonia is the leading cause of hospitalization in the general population outside obstetric admissions.( In European countries, the mortality rates due to community-acquired pneumonia (CAP) range between 1% and 48%, and the costs associated with pneumonia treatment reach 10.1 billion EUR annually.( In intensive care units (ICUs), ventilator-associated pneumonia (VAP) is the leading cause of nosocomial infections and death, with mortality rates of 24% - 50%.(

Therefore, LRTIs are the primary reason for antibiotic prescriptions in outpatient and hospital settings.( In ICUs, invasive devices, comorbidities, and previous or acquired immunosuppression all increase patient susceptibility to infection.( Moreover, critically ill patients can present atypical clinical and laboratory symptoms, hindering the differential diagnosis of pneumonia and other respiratory conditions. Therefore, antibiotics are excessively and often unnecessarily used, contributing to increased bacterial resistance, cost, and occurrence of side effects.(

The characterization of disease severity and prognosis in LTRI is another major challenge. Well-validate scores based on clinical, laboratory, and radiological data are routinely applied (Tables 1 and 2) and have a direct impact on patient management. However, these scores may not be sufficient if used alone. For CAP, the most well-validated scoring instruments are the Pneumonia Severity Index (PSI),( which has limited applicability owing to its complexity, and the confusion, urea nitrogen, respiratory rate, blood pressure, ≥ 65 years of age (CURB-65),( which is simpler and more widely used in clinical practice. A meta-analysis from 2011 assessed the ability of these scores to predict ICU admission and found sensitivities of 74% for PSI values ≥ 4 and 50% for the CURB-65.( Therefore, if one uses these scores as the sole tool to define the place of treatment, 26% to 50% of patients will receive a lower level of care than necessary.

Table 1

CURB-65 scores for assessment of the severity of community-acquired pneumonia(

Add 1 point for each variable present:
New mental confusion                 Urea > 42mg/dL                 Respiratory rate ≥ 30irpm                 SBP < 90mmHg or DBP ≤ 60mmHg                 Age ≥ 65 years
Classification	Mortality %	Recommendation
0	0.7	Low risk - outpatient treatment
1	3.2	Low risk - outpatient treatment
2	13.0	Intermediate risk - observation
3	17.0	Severe - hospitalization
4	41.5	Severe - hospitalization
5	57.0	Very severe - ICU

SBP - systolic blood pressure; DBP - diastolic blood pressure; ICU - intensive care unit.

Table 2

Pneumonia severity index score(

Consider the total sum of the points:
Age: Men - age = score                         Women - age -10 = score                 Nursing home resident: + 10                 Neoplastic disease: + 30                 Liver disease: + 20                 Congestive heart failure: + 10                 Cerebrovascular disease: + 10                 Kidney disease: + 10                 Altered mental status: + 20                 RR > 30bpm: + 20                 SBP < 90mmHg: + 20                 Axillary temperature < 35 or > 40°C: + 15                 HR > 125bpm: + 10                 Arterial pH < 7.35: + 30                 Urea > 78mg/dL: + 20                 Sodium < 130mEq/L: + 20                 Glucose > 250mg/dL: + 10                 Hematocrit < 30%: + 10                 PaO2 < 60mmHg: + 10                 Pleural effusion: + 10
Classification	Mortality %	Recommendation
I - No points	0.1-0.4	Outpatient treatment
II - < 70	0.6-0.7	Outpatient treatment
III - 70-90	0.9-2.8	Observation
IV - 90-130	8.5-9.3	Hospitalization
V - > 130	27.0-31.0	Hospitalization

RR - respiratory rate; SBP - systolic blood pressure; HR - heart rate; PaO2 - partial pressure of arterial oxygen.

Thus, in patients with suspected VAP, severity is typically assessed using the scores more dedicated to critically ill patients, including the Sequential Organ Failure Assessment (SOFA), Acute Physiology and Chronic Health Evaluation (APACHE II), and the Simplified Acute Physiology Score 3 (SAPS 3). However, the diagnosis of VAP is challenging because of the low sensitivity, low specificity, and long processing time of microbiological methods and because of the absence of specific clinical and laboratory signs of VAP.(

In recent years, several research groups have sought to identify blood markers that can help assess the severity and prognosis of LRTI. Combined with classical scores, these markers can be helpful in therapeutic decisions about the place of treatment (i.e., ICU or ward), antibiotic coverage, and length of therapy.( One of the most tested biomarkers is procalcitonin (PCT), which has been evaluated in several clinical studies on patients with sepsis.( Increased serum PCT levels have been associated with the presence, severity, and extent of systemic bacterial infections.( In addition, PCT increase is dependent on the cytokine cascade and can consequently be quickly neutralized by antibiotics. This characteristic allows PCT kinetics to be used during treatment as a surrogate of the clinical response to treatment and the occurrence of relevant clinical outcomes in patients with sepsis, including the length of hospitalization and mortality. Finally, PCT has been proved to be useful to guide the length of antimicrobial treatment in septic patients.(

The objective of this study is to present a narrative review of the potential benefits and limitations of the use of procalcitonin as a prognostic marker for lower respiratory tract infections in patients in different hospital and clinical settings, with a focus on emergency care and intensive care.

GENERAL CONSIDERATIONS

Procalcitonin is a 116-amino acid peptide precursor of the hormone calcitonin. In healthy individuals, PCT is secreted only by the neuroendocrine cells of the thyroid. However, during bacterial infections, PCT is released in response to bacterial antigens and to cytokines such as interleukin 1 (IL-1) and tumor necrosis factor alpha (TNF-α) as a secondary mediator of the inflammatory response by many tissues and cell types, including the liver, the kidney, adipocytes, and muscle cells.( In viral infections, the production of PCT usually decreases, although it can reach very high levels in severe viral diseases.( After exposure to endotoxins, the serum levels of PCT begin to increase within 3 hours and reach peak levels between 6 and 24 hours.( PCT levels then decrease rapidly when the infection is under control, but they are not affected by the use of anti-inflammatory drugs, including corticosteroids. Increased serum PCT levels can also be observed with non-infectious conditions such as trauma, surgery, pancreatitis, and renal dysfunction. PCT is one of the best-studied biomarkers in clinical practice.(

Several studies have evaluated the prognostic role of PCT in patients with sepsis. In a cohort study involving 75 patients, 63 with septic shock and 12 with cardiogenic shock, the PCT levels at the time of inclusion were significantly higher in patients with sepsis; a cutoff value of 6ng/mL distinguished survivors in the ICU from non-survivors in the group of patients with sepsis and yielded a sensitivity of 87.5% and a specificity of 45%.( However, the levels of PCT during the first days of antibiotic treatment seem to predict the prognosis more accurately than measurements at any other single time point. In a recently published study, 130 ICU patients with severe sepsis and septic shock were monitored for 18 months.( PCT clearance at 24 and 48 hours after the diagnosis of sepsis was significantly higher among survivors, with an area under the curve (AUC) of 0.76 for the prediction of mortality in the ICU, compared with 0.68 for the change in the SOFA score. Charles et al. evaluated other relevant clinical outcomes and reported that the decrease in the levels of PCT between the second and third days of antibiotic treatment was an independent predictor of the response to empirical antimicrobial therapy and was also associated with longer survival.( Outside the ICU, the kinetics of PCT as a predictor of mortality in patients with sepsis also achieved positive results. In a cohort study involving 789 patients with severe sepsis or septic shock in an intermediate care unit, PCT levels decreased by less than 15% in 72 hours and by less than 20% between the first 24 and 72 hours; the decreases over these intervals were independent predictors of 30-day mortality, with hazard ratios (HR) of 3.9 (confidence interval - 95%CI, 1.6 - 9.5; p < 0.0001) and 3.1 (95%CI, 1.2 - 7.9; p < 0.001), respectively.( The common outcome in the last 3 studies was that most patients had pneumonia as the infection source, at frequencies of 44%, 52%, and 51%, respectively.

PROGNOSTIC VALUE OF PROCALCITONIN IN LOWER RESPIRATORY TRACT INFECTIONS

Patients with lower respiratory tract infections treated in emergency care services

The main studies that have evaluated the prognostic value of PCT in patients receiving emergency care are summarized in table 3. To assess the usefulness of PCT in patients with dyspnea in the emergency room, Italian and American researchers investigated 2 cohorts involving a total of 453 patients.( Circulating levels of PCT were measured upon admission, and were then associated with the final diagnosis and with 90-day and 1-year mortality rates. Among the patients studied, 60 patients had an initial diagnosis of pneumonia, among whom 30 had decompensated heart failure as the underlying condition. Considering all of the patients, serum PCT levels were higher in the patients who died at 90 days (0.13 [0.08 - 0.41] ng/mL versus 0.06 [0.04 - 0.10] ng/mL; p < 0.001) or at 1 year (0.12 [0.08 - 0.38] ng/mL versus 0.06 [0.04 - 0.10] ng/mL p < 0.001) compared with survivors. Multivariate analysis indicated that serum PCT levels were independently associated with 1-year mortality (HR = 1.8, 95%CI, 1.4 - 2.3; p < 0.001); however, there was no significant association in the group of patients with a specific diagnosis of respiratory infection.

Table 3

Studies that evaluated the role of procalcitonin in patients with lower respiratory tract infections in emergency care units

Author	Year	Country	Study design	Sample size (N)	Inclusion criteria	Outcomes	Results	Observations
Alba et al.(26)	2015	United States Italy	Bicenter, prospective cohort	453	Dyspnea	Primary: diagnosis of pneumonia Secondary: one-year mortality	Primary outcome: AUC 0.84 for PCT > 0.1 ng/mL Secondary outcome: PCT as an independent predictor of one-year mortality (HR: 1.8; 95%CI: 1.4-2.3). No correlation in patients with pneumonia	Prognostic value as secondary outcome
Travaglino et al.(27)	2012	Italy	Multicenter, prospective cohort	128	Fever	Levels of MR-proADM and PCT compared with APACHE II	Positive correlation between APACHE II scores and MR-proADM (r = 0.66) and between MR-proADM and PCT (r = 0.54). No correlation between PCT and APACHE II	Small sample size, LRTI as subgroup
Ugajin et al.(28)	2014	Japan	Single-center, retrospective	213	CAP	28-day mortality and need for intensive care	No correlation with mortality. PCT ≥ 10ng/mL was associated with a higher probability of need for intensive care	Semiquantitative measurement
Huang et al.(29)	2008	United States	Multicenter, prospective cohort	1,651	CAP	30-day mortality	Low PCT values (< 0.1ng/mL) were associated with lower mortality in high-risk patients (Negative LR of 0.09)	Large sample size. Wide confidence interval
Krüger et al.(30)	2008	Germany	Multicenter, prospective cohort	1,671	CAP	28-day mortality Correlation with CRP, WBC, and CURB-65	Accuracy similar to that of CURB-65. Positive correlation with 28-day mortality. Identification of patients with low risk of death	Large sample size but few high-risk patients
Schuetz et al.(31)	2011	Switzerland	Multicenter, retrospective	925	CAP	30-day mortality Adverse events in 30 days	Initial levels were weak predictors of mortality (AUC: 0.6). Sequential levels were more useful in predicting adverse events	Large sample size, sequential measurements
Ramirez et al.(32)	2011	Spain	Bicenter, prospective cohort	685	CAP	Admission to intensive care	PCT < 0.35ng/dL safely ensured the lack of need of intensive care for severe CAP	Patients with higher severity criteria were excluded
Kutz et al.(33)	2015	Switzerland	Systematic review and meta-analysis	2,065	CAP	30-day mortality Treatment failure	PCT < 0.25ng/dL with VPN of 89.2% for treatment failure and 97.5% for mortality	Secondary analysis of clinical trials. Without observational data
Park et al.(34)	2012	South Korea	Single-center, prospective	126	CAP	28-day mortality	AUC of 0.82. Addition of prediction to classical scores	Small sample size

AUC - area under the curve; PCT - procalcitonin; HR - hazard ratio; MR-proADM - pro-adrenomedullin; APACHE II - Acute Physiology and Chronic Health evaluation II; LRTI - lower respiratory tract infections; LR - likelihood ratio; CAP - community-acquired pneumonia; NPV - negative predictive value.

In the assessment of febrile patients admitted to an emergency care unit, a multicenter observational study evaluated 128 patients with suspected severe infections, including LRTI, and assessed the prognostic value of PCT and pro-adrenomedullin (MR-proADM) upon admission, in comparison with APACHE II scores, as indirect indicators of mortality.( Of the total sample, 44 patients had LRTI, and most of these cases involved pneumonia (n = 31). In patients with LRTI, moderate positive correlations were found between APACHE II scores and MR-proADM (R = 0.66, p = 0.0002) and between MR-proADM and PCT (R = 0.54, p = 0.0001). There was no significant correlation between serum PCT levels and APACHE II scores.

Measuring PCT levels using a semiquantitative method, such as an immunochromatographic assay, is unsatisfactory. The prognostic value (28-day mortality and need for ICU admission) of such a method was assessed in a retrospective study involving 213 patients who were admitted to an emergency care unit with a diagnosis of CAP.( There was no significant difference in mortality based on the observed PCT levels. Only levels > 10ng/mL (which limits the sensitivity and negative predictive value (NPV) of the marker) were significantly associated with a need for ICU admission (p < 0.001); however, the performance of PCT as a prognostic marker was lower than that of classical scores and other laboratory markers (AUC of 0.87 for PSI, 0.86 for CUEB-65, 0.85 for the urea/albumin ratio, and 0.82 for semiquantitative PCT; p < 0.001).

A multicenter cohort study conducted in 28 emergency care units in the US evaluated the prognostic value of PCT using a larger cohort of 1,651 patients with CAP.( In most cases, PCT levels upon admission did not provide any prognostic information. Only PCT values < 0.1ng/mL in high-risk patients (PSI IV and V) were significantly associated with lower 30-day mortality, with a negative likelihood ratio of 0.09 in this group of patients.

In 2008, a German group evaluated the prognostic value of initial PCT levels in 1,671 patients who received emergency care with a diagnosis of CAP.( In that study, PCT levels were significantly higher in severely ill patients, as assessed by CURB-65 score. The highest levels of PCT were observed in 70 patients who died during the 28-day follow-up period (0.88 [0.32 - 3.38] ng/mL versus 0.13 [0.08 - 0.38] ng/mL; p = 0.0001). In the ROC curve, the AUC for PCT was 0.80 (0.75 - 0.84), which was similar to that of the CURB-65 score. These results were encouraging but were not reproduced in a validation cohort study (ProHOSP) involving 925 patients with CAP.( In this case, the initial serum levels of PCT showed only moderate performance in predicting 30-day mortality, with an AUC of 0.6. Sequential measurements of PCT resulted in a slight improvement in performance, with AUCs of 0.61, 0.68, and 0.73 on days 3, 5, and 7, respectively. However, the prognostic value of PCT was not superior to the scores traditionally used for prediction of mortality (CURB-65 and PSI).

Another study evaluated the usefulness of initial PCT levels in predicting ICU admission included 685 patients with CAP who were treated in emergency care units; it indicated that low serum levels of PCT (< 0.35ng/mL) were associated with a decreased severity of infections and ensured the safe management of patients outside the ICU.(

A systematic review evaluated PCT values upon admission in patients with LRTI in emergency units and showed that lower serum levels of PCT were significantly associated with treatment failure (AUC 0.64, 95%CI, 0.61 - 0,67; OR 1.85, 95%CI, 1.61 - 2.12; p < 0.0001) and with 30-day mortality (AUC 0.67, 95%CI, 0.63 - 0.71; OR 1.82, 95%CI, 1.45 - 2.29; p < 0.001), although the correlation was only poor to moderate. A cutoff value of 0.25ng/mL had an NPV of 89.2% and 97.5% and a sensitivity of 65.6% and 72.5% for treatment failure and mortality, respectively, and reached statistical significance.(

The most satisfactory results in an emergency care setting were presented by a South Korean study published in 2012.( The authors evaluated the ability of PCT to predict 28-day mortality in 126 patients admitted to an emergency care unit with clinical and radiological signs of CAP. The average serum level of PCT in patients with PSI I and II was 0.1ng/mL, compared with 0.61ng/mL in patients with PSI V. Patients with CURB-65 scores of 0 or 1 had a mean PCT level of 0.19ng/mL, compared with 4.75ng/mL in those with a score ≥ 3. The average PCT levels upon admission were significantly higher in non-survivors than in survivors (1.96ng/mL versus 0.18ng/mL, p < 0.01) and showed an AUC of 0.82, which was higher than that of the other biomarkers studied (C-reactive protein [CRP], erythrocyte sedimentation rate, and white blood cells) but was similar to that of classical scores (PSI, 0.87; CURB-65 score, 0.86; Infectious Diseases Society of America/American Thoracic Society [IDSA/ATS] score, 0.84). Furthermore, the addition of PCT to the scores significantly increased their predictive accuracy for 28-day mortality.

Hospitalized patients diagnosed with community-acquired pneumonia

Table 4 summarizes the main studies that have evaluated the prognostic value of PCT in hospitalized patients with CAP. The clinical profile of the patients included in these studies was similar to that of patients evaluated in the studies above, i.e., they were initially evaluated in emergency care units, although the measured outcomes may have been different. When examining the use of PCT for the prognostic prediction of hospitalized patients with respiratory infections, a cohort study from 2014 involving 101 hospitalized patients with CAP found results similar to those of the aforementioned studies; it showed that PCT had low to moderate accuracy for predicting 30-day mortality in this group of patients, with an AUC value of 0.66 (95%CI, 0.54 - 0.78; p ≤ 0.012) The best cutoff value found, 2.56ng/mL, presented a sensitivity of 76% and a specificity of 61.8% for predicting mortality.( Another prospective study involving 170 hospitalized patients with CAP showed the superior performance of initial PCT levels in predicting survival at 30 days (AUC for mortality, 0.8; 95%CI, 0.7 - 0.9), although it used a semiquantitative method to measure PCT. The accuracy of PCT was higher than that of other markers, including CRP; however, it was less accurate than the CURB-65 (AUC 0.88) and PSI (AUC 0.89) scores.( Furthermore, in a study that evaluated the ability of PCT and other markers to predict treatment failure (occurrence of septic shock, need for mechanical ventilation, or death within 72 hours) and included 453 patients with a diagnosis of CAP, higher levels of PCT (averaging 3.36ng/mL) measured at the baseline the were independent predictors of early treatment failure, with low levels presenting a high NPV for this outcome (0.95).(

Table 4

Studies that evaluated the role of procalcitonin in hospitalized patients with community-acquired pneumonia

Author	Year	Country	Study design	Sample size (N)	Inclusion criteria	Outcomes	Results	Observations
Andrijevic et al.(35)	2014	Serbia	Single-center, prospective cohort	101	CAP	30-day mortality	Weak predictor of mortality (AUC: 0.66). PCT > 2.56ng/mL with sensitivity of 76% and specificity of 61.8%	Small sample size
Kasamatsu et al.(36)	2012	Japan	Single-center, prospective cohort	170	CAP	30-day mortalitys	AUC of 0.8. Correlation with PSI (0.56) and CURB-65 (0.58)	Semiquantitative measurement
Menéndez et al.(37)	2008	Spain	Bicenter, prospective cohort	453	CAP	Treatment failure (septic shock, mechanical ventilation, or death)	High PCT on day 1 as good predictor of early failure (OR of 2.7). Decreased levels had a strong VPN (0.95)	Cutoff values were not defined

CAP - community-acquired pneumonia; AUC - area under the curve; PCT - procalcitonin; PSI - Pneumonia Severity Index; OR - odds ratio; NPV - negative predictive value.

Patients with pneumonia admitted to an intensive care unit

The prognostic evaluation of severely ill patients is complex because of the multiplicity of variables that influence their outcomes. Studies on PCT in patients with respiratory infections in intensive care indicated promising but conflicting results (Table 5).

Table 5

Studies that evaluated the role of procalcitonin in patients with pneumonia admitted to the intensive care unit

Author	Year	Country	Study design	Sample size (N)	Inclusion criteria	Outcomes	Results	Observations
Shi et al.(38)	2014	China	Single-center, prospective cohort	60	Nosocomial pneumonia	Clinical efficacy and microbiological response	No correlations with absolute PCT values. PCT kinetics was the best single indicator of clinical efficacy (AUC: 0.79)	Older people
Boussekey et al.(39)	2006	France	Single-center, prospective cohort	100	Severe CAP	Mortality in the ICU	Increased PCT levels on days 1 to 3 were associated with mortality (OR: 4.539)	Semiquantitative measurement
Rammaert et al.(40)	2009	France	Single-center, prospective cohort	116	Exacerbated COPD	Mortality in the ICU	PCT was independently associated with mortality (HR 1.01; 1.00 - 1.03)	Only patients who underwent invasive ventilation were included
Bloos et al.(41)	2011	Canada United States Europe	Multicenter, prospective cohort	175	CAP and nosocomial pneumonia, including VAP	28-day mortality	AUC of 0.70 and 0.74 as initial and maximum PCT levels. Cutoff PCT values of 1.1ng/mL (OR, 7.0; 95%CI, 2.6 - 25.2) and 7.8ng/mL (OR, 5.7; 95%CI, 2.5 -13.1), respectively	Semiquantitative measurement. Wide confidence interval for cutoff values
Kutz et al.(33)	2015	Switzerland	Systematic review and meta-analysis	598	CAP, nosocomial pneumonia, including VAP and other	30-day mortality. Treatment failure	No correlation found. AUC of 0.50 (95%CI, 0.44 - 0.56) OR of 1.05 (95%CI, 0.81 - 1.37)	Secondary analysis of clinical trials. Without observational data
Luyt et al.(42)	2005	France	Single-center, prospective cohort	63	VAP	Combined outcome: 28-day mortality, VAP recurrence, or extrapulmonary infection	PCT levels on days 1, 3 and 7 were strong predictors of poor outcome (OR: 12.3 on day 1 and 64.22 on day 7)	Small sample size. High incidence rate for the outcome
Seligman et al.(43)	2006	Brazil	Single-center, prospective cohort	71	VAP	28-day mortality	PCT kinetics was an independent associated factor (OR, 4.43; 95%CI, 43.44 - 59.03)	Small sample size and wide confidence interval
Hillas et al.(44)	2010	Greece	Single-center, prospective cohort	45	VAP	28-day mortality and septic shock	AUC for mortality on day 1 of 0.79 (0.66 - 0.92) and 0.88 on day 7 (0.77 - 0.99). No correlation in the multivariate analysis	Small sample size
Boeck et al.(45)	2011	United States Switzerland	Multicenter, prospective cohort	101	VAP	28-day mortality	PCT on admission was higher among non-survivors (1.36 versus 0.58ng/mL; p = 0.017)	Secondary outcome
Tanriverdi et al.(46)	2015	Turkey	Single-center, prospective cohort	45	VAP	28-day mortality	PCT > 1ng/mL on day 3 was the strongest predictor (OR, 5.95; 95%CI, 1.58 - 22.32)	Small sample size. Wide confidence interval

PCT - procalcitonin; AUC - area under the curve; CAP - community-acquired pneumonia; OR - odds ratio; COPD - chronic obstructive pulmonary disease; HR - hazard ratio; VAP - ventilator-associated pneumonia; 95%CI - 95% confidence interval.

In a recent study involving 60 older patients with nosocomial pneumonia who were admitted to the ICU, the evaluation of PCT kinetics between the time of admission and the third day of follow-up was the best single predictor of therapeutic efficacy, with an AUC of 0.79 (p < 0.001).( Similarly, a study from 2006 evaluated the prognostic value of PCT kinetics in patients with CAP who were admitted to the ICU; the study indicated favorable results.( One hundred patients were included, and serum PCT levels were measured on days 1 and 3. An increase in PCT levels between days 1 and 3 was independently associated with mortality in the ICU, with an OR of 4.539 (95%CI, 1.31 - 15.75; p ≤ 0.017). In intubated patients, PCT levels < 0.95ng/mL on day 3 were associated with favorable outcomes, with a survival rate of 95% in the ICU.

The prognostic accuracy of PCT was also evaluated in patients with exacerbated chronic obstructive pulmonary disease who required mechanical ventilation. A study from 2009 involving 116 patients demonstrated that PCT levels upon ICU admission were independently but only slightly associated with mortality in intensive care (HR of 1.01; 95%CI, 1.00 - 1.03; p = 0.018),( Mortality was significantly higher in patients with PCT > 0.24ng/mL compared with those with PCT < 0.24ng/mL (36% versus 17%; p = 0.031; OR, 2.7; 95%CI, 1.10 - 6.50)

Among the studies that evaluated patients with VAP, Bloos et al. (2011) conducted a multicenter study and determined PCT levels in 175 critically ill patients on mechanical ventilation, of whom 57 presented CAP, 57 presented nosocomial pneumonia, and 61 presented VAP.( Notably, the initial PCT levels were higher in patients with CAP than in those with VAP, with a median of 2.4 (0.95 - 15.8) versus 0.7 (0.30-2.15) ng/mL (p < 0.001). The initial and maximal levels of PCT were correlated with the maximal SOFA scores. The AUC values for 28-day mortality were slightly higher for the maximum PCT (0.74) than for the initial PCT (0.70) and APACHE II scores (0.69). The optimal cutoff for the maximal PCT level to predict 28-day mortality was 7.8ng/mL (OR, 5.7; 95%CI, 4.0 - 18.7). However, these findings were not confirmed by a recently published meta-analysis involving 14 studies and 598 patients in the ICU, in which initial PCT levels were not associated with treatment failure or death.(

In 2005, a prospective study evaluated 63 patients and measured PCT on days 1, 3 and 7 of follow-up to assess PCT kinetics during VAP.( A cutoff value of 1ng/mL on day 1 had a sensitivity of 83% and a specificity of 64% in predicting the occurrence of an unfavorable outcome (28-day mortality, VAP recurrence, or extrapulmonary infection). On day 3, a cutoff value of 1.5ng/mL had a sensitivity of 74% and a specificity of 84%, while on day 7, a cutoff of 0.5ng/mL had a sensitivity of 90% and a specificity of 88% for the same outcome. In a multivariate analysis, PCT values higher than those reported on each of the assessment days were independently associated with the above-mentioned unfavorable outcomes, with OR values of 12.3 on day 1 and 64.2 on day 7.

In Brazil, a study evaluated the prognostic value of PCT, CRP, clinical pulmonary infection score (CPIS), and SOFA upon admission and at day 4 of follow-up in 71 patients with VAP.( Survival at 28 days was strongly associated with a decrease in the PCT levels between the evaluation days, with an OR of 5.67, which was higher than that obtained for the decreases in CRP and SOFA scores (ORs of 3.78 and 3.08, respectively). In the analysis, only the decreases in PCT and CRP were independent risk factors for predicting survival. Similarly, a Greek study from 2010 evaluated the performance of PCT and CRP in predicting progression to septic shock and 28-day mortality in a prospective cohort of 45 patients with VAP, measuring biomarkers on days 1, 4, and 7 after admission.( The AUC values for predicting survival using PCT on days 1 and 7 were 0.79 (95%CI, 0.66 - 0.92) and 0.88 (95%CI, 0.77 - 0.99), respectively. However, in the multivariate analysis, variations in the PCT levels between days 1 and 7 (OR, 7.23; 95%CI, 0.00 - 0.468) and in CRP between days 4 and 7 (OR, 4.59; 95%CI, 0.013 - 0.824) were not significant predictors of mortality. No single level of these biomarkers was associated with the studied outcomes.

In another cohort, involving 101 patients with a diagnosis of VAP significantly increased PCT levels upon admission were observed among non-survivors as compared to survivors (1.36ng/mL versus 0.58ng/mL; p = 0.017).( The average relative decrease in PCT levels 72 hours after the onset of symptoms was 26% in survivors and 7% in non-survivors. A recent prospective cohort study involving 45 patients evaluated the association between 28-day mortality and the kinetics of PCT or of CRP between admission and days 3 and 7 of follow-up,( and it found no difference in PCT levels upon admission between survivors and non-survivors; however, the PCT levels on days 3 and 7 were significantly higher among non-survivors. Moreover, PCT levels decreased significantly between day 0 and day 7 among survivors, whereas CRP levels did not change. On day 3, PCT levels > 1ng/mL proved to be strong predictors of death, with an OR of 5.95 (1.58 - 22.32).

Limitations of the studies on the subject

Although many studies have evaluated the prognostic value of PCT in patients with LRTI, it seems difficult to establish the real utility of PCT in this context; the studies are very heterogeneous, which limits aggregated data analysis and comparisons among results. The heterogeneity arises from the fact that these studies used several diagnostic methods and distinct diagnostic criteria for LRTI, and were conducted in different settings (emergency units, ICUs, and wards). Most studies examined a small sample size and experienced a high number of losses after initial screening, which limit the power of statistical inferences and the validity of the results presented. In addition, they used distinct methods of PCT measurement, including semiquantitative techniques, and the evaluated patients presented with different levels of disease severity. Other relevant limitations include a lack of patient follow-up beyond 28 days in most studies, a lack of adjustment for potential confounders (including renal failure),( a lack of cost-effectiveness analysis, and a lack of testing in validation cohorts. Furthermore, few experimental studies have evaluated the role of PCT measurement as a strategy for the clinical management of patients with LRTI.

DISCUSSION

Most of the relevant studies have concluded that serum PCT levels may be useful for predicting the prognosis of patients with LRTI but do not perform better than classical laboratory methods and clinical scores. Several studies evaluated the serum levels of PCT in patients with CAP in emergency units and used large sample sizes. Some of these studies found that serum levels of PCT were independent predictors of death,( but also found that the performance of PCT neither exceeded that of well-validated scores, such as CURB-65 and PSI, nor added new information that aided in the evaluation of patients with CAP. Therefore, in this scenario, PCT should be regarded as an additional parameter that increases the accuracy of classical methods but has limited value when used alone. Moreover, the use of PCT seems most useful when low PCT levels are detected, enabling the identification of patients with a lower risk of adverse outcomes. However, optimal cutoff values for such identification have not been established.

In the evaluation of hospitalized patients or patients with nosocomial pneumonia (including VAP) or CAP, the results are less robust, likely because of the small sample sizes and the smaller number of studies. Still, among such patients, the circulating levels of PCT during the first days of antimicrobial treatment seem more informative and accurate than the use of separate measurements at the beginning of treatment, although analyses of the cost-effectiveness of this approach have not been done. In urgent care, we should consider PCT as an additional parameter that is available for the overall clinical assessment of patients. Moreover, in these scenarios, the VPN of PCT for mortality and other negative outcomes proved to be higher, and low serum levels were better predictors of prognosis in different groups of patients. In terms of practical applicability, low levels of PCT in patients without an obvious indication for intensive care would increase confidence in the decision to maintain them outside of the ICU.

For PCT to become effective for routine use as an auxiliary marker for prognostic prediction in patients with LRTI, intervention studies must be conducted to experimentally evaluate the effect of PCT on relevant outcomes in patients with LRTI. An evaluation of this type was the multicenter study conducted in Denmark by Jensen et al.,( who tested the usefulness of performing daily PCT measurements as an indicator for the need to increase therapeutic (including antimicrobial spectrum escalation) and diagnostic interventions (eg, computed tomography) related to infectious complications in critically ill patients. The PCT was measured daily in patients from the experimental group, and the "alert procalcitonin" was defined as (1) PCT > 1.0ng/mL without decreasing by at least 10% from the previous day or (2) an isolated PCT level > 1.0ng/mL upon admission. In these cases, diagnositc and therapeutic interventions were intensified. The authors found no difference between the outcomes observed for the control group and for the group managed using PCT, which included 28-day mortality, duration of organ dysfunction, and length of ICU stay.

CONCLUSION

The use of procalcitonin as a prognostic marker in patients with lower respiratory tract infections has limited practical applicability and, when used alone, does not perform better than other methods that are typically used for this purpose in different hospital settings.