Home Medicine An overview of procalcitonin in Crimean-Congo hemorrhagic fever: clinical diagnosis, follow-up, prognosis and survival rates
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An overview of procalcitonin in Crimean-Congo hemorrhagic fever: clinical diagnosis, follow-up, prognosis and survival rates

  • Nahide Ekici-Günay ORCID logo EMAIL logo and Serhat Koyuncu
Published/Copyright: August 10, 2020

Abstract

Objectives

This study investigates whether a diagnostic threshold value of procalcitonin exists in Crimean-Congo hemorrhagic fever (CCHF), while also determining the correlation between serum procalcitonin and routine diagnostic laboratory markers, monitoring changes in procalcitonin levels over time during hospitalization, and exploring the effect of procalcitonin levels on survival rates.

Methods

A total of 161 patients, including 100 with laboratory-confirmed diagnosis of CCHF and 61 as a control group, were retrospectively investigated. Receiver operating characteristics (ROC) curve analysis was performed to evaluate the contribution of procalcitonin when diagnosing the onset in CCHF patients. Procalcitonin levels were measured with Diazyme latex-enhanced immunoturbidimetric method in Roche Cobas C501 analyzer. A Mann–Whitney U-test was applied to compare the groups, a Mantel–Haenszel (log-rank) test was used to calculate for graphic of original individual patient time-to-event data, and a Kaplan–Meier survival curve was plotted.

Results

A ROC curve analysis identified a best predictive procalcitonin level cut-off point of 0.560 μg/L, with a specificity of 97% and sensitivity of 27% for CCHF. The highest levels of procalcitonin were measured on day 2 during the follow-up throughout and on the 5th day peaked for a second time, lower than the first.

Conclusions

Procalcitonin may serve as prognostic indicator and an auxiliary biomarker to rule out of CCHF.

Öz

Amaç

Bu çalışmada, Kırım-Kongo Kanamalı Ateşi (KKKA) hastalığında prokalsitonin tanısal eşik değerinin olup olmadığı incelenirken, serum prokalsitonin ve rutin tanı laboratuvarı belirteçleri arasındaki korelasyonun belirlenmesi, prokalsitonin düzeylerinin hastanede yatış sırasındaki davranışının izlenmesi ve prokalsitonin düzeylerinin sağkalım oranları üzerindeki etkisi araştırıldı.

GereçveYöntem

100’ü laboratuvarda doğrulanmış KKKA hastası ve 61’i kontrol grubu olarak dahil olmak üzere toplam 161 hasta geriye dönük olarak incelendi. KKKA hastalarında başlangıç tanısına prokalsitoninin katkısını değerlendirmek için ROC eğrisi analizi yapıldı. Prokalsitonin düzeyleri Roche Cobas C501 analizöründe Diazyme lateks destekli immünoturbidimetrik yöntemle ölçüldü. Grupları karşılaştırmak için Mann-Whitney U-testi uygulandı, orijinal bireysel hastanın olay-zaman verilerinin grafiğini hesaplamak için bir Mantel-Haenszel (log-rank) testi kullanıldı ve bir Kaplan-Meier sağkalım eğrisi çizildi.

Bulgular

ROC eğrisi analizi ile KKKA için % 97 özgüllük ve% 27 hassasiyeti ve en iyi öngörücü prokalsitonin kesim noktası konsantrasyonu 0.560 μg/L olarak saptandı. En yüksek prokalsitonin seviyeleri, hastane takipi boyunca 2. günde idi ve 5. günde ise birinciden daha düşük ikinci bir kez zirve yaptı.

Sonuç

Prokalsitonin, KKKA’ni ekarte etmek için prognostik bir gösterge ve yardımcı biyobelirteç olarak kullanılabilir.

Introduction

Procalcitonin is known as a biomarker protein for bacterial sepsis [1]. Following the upregulation of procalcitonin, the release of interferon-γ–a cytokine that is released in response to viral infections – is suppressed, so that procalcitonin levels do not increase, or increase only slightly [2], [3].The leading cause of procalcitonin production is bacterial infection, but with it, everything that causes tissue inflammation leads to an increase in procalcitonin production [4].

Crimean-Congo hemorrhagic fever (CCHF) is a tick-borne zoonosis that frequently causes a sudden onset of severe illness and death in humans [5]. It has been suggested that endothelial damage resulting from the endothelial activation of the CCHF virus (the genus Orthonairovirus of the family of Bunyaviridae) and viral antigen-triggered immune mechanisms are implicated in the ethiopathogenesis [6], [7].

Proinflammatory cytokines such as IL-6, IL-10 and TNF-alpha, which are mediators of acute inflammation, have been shown to play important roles in CCHF [8]. Procalcitonin is produced ubiquitously in response to these proinflammatory cytokines, which in turn are released in response to bacterial infections [9].

There have been various studies of disease-specific correlations and poor clinical outcomes related to procalcitonin [10], [11], [12], however there have to date been no studies in literature investigating the diagnostic threshold value or usefulness of procalcitonin in CCHF. The objective of the present study is to identify any association between procalcitonin levels and CCHF, and to determine a predictive cut-off level. The study also explores the association between procalcitonin and survival rates and the prognosis of CCHF patients. The study further investigates the behavior of procalcitonin levels during hospital stays and any correlations between procalcitonin, coagulopathy and blood count differentiation parameters.

Materials and methods

Patients and controls

This retrospective study included patients with CCHF who were admitted to the emergency department of Tokat Gaziosmanpaşa University Faculty of Medicine between January 2015 and April 2018.

Reverse transcription polymerase chain reaction (RT-PCR) tests were performed in the Refik Saydam Health Center National Virology Laboratory affiliated to the Republic of Turkey Ministry of Health. Accordingly, patients who were confirmed using the ELISA method or through the detection of the virus IgM/IgG genomic segment were included in the study. Additionally, a control group consisting of age and sex matched individuals who were admitted to the emergency department for viral bronchopneumonia and tested as negative for CCHF by RT-PCR, were composed.

For the CCHF and control groups, exclusion criteria were defined as following: history of bacterial infection in the last 10 days, suspected bacterial co-infection at the time of admission, bleeding disorder, antithrombotic drug use, previous cerebrovascular event, warfarin/heparin or aspirin use, acute and chronic liver disease, factor deficiency, autoimmune disease, familial Mediterranean fever, leukemia, lymphoma and myelofibrosis, chronic obstructive pulmonary disease, chronic kidney disease, asthma and malignancy.

To create homogeneous study groups, patients who were admitted to the hospital for more than 24 h after the onset of symptoms, and patients who had no procalcitonin measurements every day during hospitalization were excluded from the study. The patients’ sign and symptoms, demographic characteristics, length of hospital stay(days), death number, causes of deceased patients and number of admitted to the hospital with the history of vector contact during study period, number of PCR-RT positive patients of them and, number whose admitted to the hospital of within 24 h after onset of first symptoms were recorded. The patient groups were separated into two groups as survivors and non-survivors according to survival status at 28 day of admission.

Measurements

The study was a collaborative effort of Kayseri Health Sciences University and Tokat Gaziosmanpaşa University, and the design was approved by the local ethics committee (Approval number: 83116987-467).

All patients were treated with ribavirin in the early stages and received clinical support treatment, including fresh frozen plasma, platelets and packed red blood cells infusions when indicated. Blood samples were taken immediately prior to the start of anti-viral therapy at the time of admission to the hospital. Repeated consecutive procalcitonin measurement results were recorded every 24 h throughout the patients’ stay in hospital. Since more than one procalcitonin test request was made on the same day, patient-based consecutive measurement results obtained at about 24 h intervals were selected. All consecutive procalcitonin measurements were made using a Roche Cobas C501 analyzer (Roche Diagnostics, Germany) via the Diazyme procalcitonin immunoturbidimetric assay (Diazyme Laboratories, Poway, CA, USA), assuming a cut-off of 0.5 μg/L [13]. At the time of the first admission to emergency department, blood samples were collected via venipuncture to 5 mL yellow-top (gel separator) tubes (BD vacutainer® BarricorTM) and centrifuged 10 min at 1509XG within 30 min of collection for procalcitonin and other biochemical analysis. While 2.7 mL light blue rubber stopper BD Vacutainer® sodium citrate tubes were used during coagulation analysis, 3.0 mL BD Vacutainer® K2EDTA tubes were used during for measurement of parameters of complete blood counts. For the Diazyme PCT assay, the intra-assay coefficients of variation (CV) were given as 7.7% for low levels and 2.9% for high levels.

The patients’ blood urea nitrogen, creatinine, alanine aminotransferase (ALT), aspartate aminotransferase (AST), lactate dehydrogenase (LDH) and C-reactive protein (CRP) analysis were made using a Roche Cobas C501 analyzer (Roche Diagnostics, Germany) with spectrophotometric method and ferritin analysis were made using same module (Cobas C501) with immunoturbidimetric method. Fibrinogen (Dia-FIB kit), aPTT (Dia-PTT Liquid kit), INR values (Dia-PT R kit, the lot-specific ISI value: 1.08) and D-dimer (Dia-D-Dimer kit) were measured using Diagon CoagXL analyzer (Budapest, Hungary) with optical method and D-dimer (Dia-D-Dimer kit) were measured using same analyzer with particle-enhanced immunoturbidimetric method. Blood count differentiation parameters; lymphocyte, neutrophil and platelet counts were measured by Sysmex XN-1000 analyzer(Sysmex, Kobe, Japan) with electrical impedance and laser method. All analyzes were conducted according to CLIA-based quality control procedures which were arranged according to Sigma-metrics performance criteria.

Statistical analyses

The data was analyzed using SPSS software (IBMCo.,SPSS 24.0, Chicago, Illinois). The normality of the distribution of continuous variables was checked using a Kolmogorov-Smirnov test. Descriptive statistics were shown primarily as median (min/max), as none of the variables were normally distributed. Spearman’s correlation coefficients were used to determine the linear correlations between continuous variables A receiver operating characteristics (ROC) analysis was performed to determine the best cut-off value, sensitivity and specificity of procalcitonin. A non-parametric Mann–Whitney U-test was applied to compare the groups. Group median’ differences were analyzed by Kruskall Wallis post-hoc pairwise comparisons test and significance values were adjusted by the Bonferonni correction for multiple tests. A Mantel–Haenszel (log-rank) test was used to calculate for graphic of original individual patient time-to-event data and a Kaplan–Meier survival curve was plotted. Statistical significance was set at p<0.05.

Results

Patient status

During the study period, the total number of patients admitted to the hospital with a story of tick contact was recorded as 835. From these, the patient number of CCHF diagnose-confirmed by PCR-RT test was 191. The number of patients whose admitted to the hospital within 24 h after the first symptoms onset was 133 (69,6%). Finally, a total of 100 patients were included in the study, whose have with daily consecutive procalcitonin measurements during the hospitalization period and whose have no history of other disease as indicated in exclusion criteria. The control group was consisted of the 61 patients with viral bronchopneumonia and negative RT-PCR results.

Seventy of the CCHF patients were male (70%) and 30 female (30%). The mean age of the patient group was 50.5 ± 18.9 (range 14–84) and the mean length of hospital stay was 6.3 ± 2.7 days (range 1–17). Of the total, five of the CCHF patients deceased from thrombocytopenia hemorrhagic complications and sepsis, meaning a mortality rate of 5%.

Fever was the most common symptom at first admission (78%) and was present at the first visit of all the patients who died. This was followed by symptoms of fatigue (24%), headache (13%), vomiting (8%), diarrhea (6%), abdominal pain (3%), nausea (1%), syncope (1%) and delirium (1%), in order of prevalence.

Procalcitonin results

The minimum serum procalcitonin level was 0.072 μg/L in the survivor patients, while the minimum serum procalcitonin level in the non-survivor patients was 0.315 μg/L. The patients’ data given in Tables 1 was obtained from those who admitted to the hospital within the first 24 h after the onset of the first disease symptoms. A statistically significant increase in procalcitonin was observed in patients with CCHF when compared to the controls (mean ± SD: 0.397 ± 0.738 μg/L vs. mean ± SD: 0.058 ± 0.01 μg/L, p<0.001, respectively).

Table 1:

The laboratory parameters of CCHF and control patients, and survivor and deceased CCHF patients, at the time of first admission.

ParametersControl median (min/max) n=61CCHF median (min/max) n=100p-ValueSurvivor median (min/max) n=95Deceased median (min/max) n=5p-Value
Procalcitonin (µg/L)0.040 (0.02/0.62)0.173 (0.020–5.050)<0.0010.504 (0.072/5.050)1.315 (0.315/3.190)0.028
WBC (×109/L)7.4 (2.4/16.8)6.7 (0.48/27.9)0.4562.1 (0.48/279)10.41 (3/13)<0.001
PLT (×109/L)158 (121/451)32 (18.99/229)0.02544 (15/229)18.99 (12/98)0.028
Urea nitrogen (mg/dL)12.4 (3.8/62)15.2 (3.6/105)0.32511.8 (3.6/105)26 (23/73)<0.001
Creatinine (mg/dL)0.78 (0.52/1.89)0.82 (0.41/7.2)0.2420.77 (0.4/7)1.21 (1/3)0.005
CRP (mg/L)6.12 (2.1/9.2)7.8 (0.7/56.2)0.4726.74 (0.7/279)42 (40/56)0.021
AST (U/L)48 (21/67)145 (12/1,171)0.04187 (12/1,171)275 (36/331)0.343
ALT (U/L)52 (42/244)198 (21/2,779)0.04874 (21/2,779)193 (26/113)0.825
LDH (U/L)280 (145/453)652 (177/3,568)0.047558(177/3,568)1233 (863/2,139)0.005
Neutrophil (%)52.4 (24/80)57.8 (19.8/89)0.44856.4 (19.8/82)81.85 (78/89)<0.001
Lymphocytes (%)37.4 (13.3/57.5)33.3 (7.2/53.8)0.25634.7 (7.2/53.8)11.15 (9/16)0.050
Neutrophil (×109/L)4.15 (1.9/22.6)5.02 (0.21/18.1)0.5471.02 (0.21/18.1)8.62 (3/11)<0.001
Lymphocytes (×109/L)0.93 (0.28/5.02)0.61 (0.11/3.94)0.2860.61 (0.19/3.94)1.02 (0/2)0.221
Fibrinogen (mg/dL)260 (160/410)178 (36/367)0.040229.98 (36/367.23)116 (26.11/305)0.040
aPTT (sec)31 (18–42)48 (26/120.6)0.01942 (26/107)67 (42/120.6)0.011
INR1.01 (0.72/1.31)1.28 (0.78/4.62)<0.0011.13 (0.7/4.62)1.93 (1.37/2.24)<0.001
Ferritin (ng/mL)630 (45/745)2000 (42/3344)<0.0012000 (42/3344)2000 (1,800/2,091)0.465
D-dimer (mg/L)0.482 (0.250/0.680)1.38 (0.23/37)<0.0011.24 (0.23/13.3)12.5 (5.6/37)0.004
  1. AST, aspartate aminotransferase; ALT, alanine aminotransferase; CRP, C-reactive protein; aPTT, activated partial thromboplastin time; INR, international normalised ratio; CK, creatinine kinase; LDH, lactat dehydrogenase; PLT, platelet; WBC, white blood cell.

  2. Bold values: correlation is significant at the 0.01 level.

Similarly, the procalcitonin levels of the non-surviving patients were also found to be significantly higher than those of the survivors in the patient group (mean ± SD: 1.389 ± 1.310 μg/L vs. mean ± SD: 0.504 ± 0.786 μg/L, p=0.028, respectively).

The procalcitonin levels of CCHF patients reached their highest level (1.24 ± 2.5 μg/L) or 0.44(0.09/11.17 μg/L) on the second day of admission to the hospital, and followed a declining trend from day 3 onwards until a second elevation wave was observed on the 5th day. On the final day of follow-up (day 9), the procalcitonin reached its lowest level in the consecutive measurements (0.49 ± 0.47 μg/L) or 0.19 (0.17/3.9 μg/L). While procalcitonin levels were significantly different from the control group for eight consecutive days after the first admission day (p<0.001), it was found that the procalcitonin levels were not different from the control group on the 9th day (Figure 1).

Figure 1: Overview of average procalcitonin levels by days in CCHF patients. *Time behavior of PCT values (µg/L) in patients with CCHF. The median (dot), quartile (box), and 25/75 percentile (bar) are given, white rectangle inside bar: group median value. Group median differences were analyzed by Kruskall Wallis post-hoc pairwase comparisons test. *p<0.05, **p<0.001.
Figure 1:

Overview of average procalcitonin levels by days in CCHF patients. *Time behavior of PCT values (µg/L) in patients with CCHF. The median (dot), quartile (box), and 25/75 percentile (bar) are given, white rectangle inside bar: group median value. Group median differences were analyzed by Kruskall Wallis post-hoc pairwase comparisons test. *p<0.05, **p<0.001.

The Spearman’s correlations of procalcitonin are shown in Table 2. LDH and ferritin were strongly correlated with procalcitonin in CCHF patients (p<0.001; r=0.673, p<0.001; r=0.526).

Table 2:

Spearman’s correlations of procalcitonin in patients with CCHF.

Parametersrhop-Value
LDH (U/L)0.673<0.001
Ferritin (ng/mL)0.536<0.001
aPTT (sec)0.577<0.001
ALT (U/L)0.406<0.001
AST (U/L)0.254<0.05
C-reactive protein (mg/L)0.396<0.001
Platelet (×109/L)−0.398<0.001
Creatinin kinase (U/L)0.335<0.01
BUN (mmol/L)0.319<0.01
Creatinin (µmol/L)0.278<0.05
Fibrinogen (mg/dL)−0.271<0.05
INR0.261<0.05
WBC (×109/L)0.314<0.01
Lymphocyte (#)>0.05
Lymphocyte (%)0.253<0.05
Neutrophil (#)0.312<0.01
Neutrophil (%)0.283<0.02
D-dimer (mg/L)>0.05
  1. #; absolute count, %; differantiation ratio.

  2. Bold values: correlation is significant at the 0.01 level.

Biochemical test results

The biochemical and hematological parameters of the patients who survived and those that died are presented in Table 1. According to our findings WBC (p<0.001), urea nitrogen (p<0.001), creatinine (p=0.005), C-reactive protein (p=0.021), LDH (p=0.005), neutrophil (%) (p<0.001), neutrophil absolute counts (p<0.001), aPTT (p=0.011), INR (p<0.001), D-dimer (p=0.004), levels were significantly higher in deceased patients. In contrast, platelet (p=0.028), lymphocytes (p=0.050), and fibrinogen (p=0.040), levels were significantly lower in patients with deceased CCHF patients than survivors.

ROC analysis

The ROC curve analysis showed that the best predictive procalcitonin level cut-off points for patients with CCHF was 0.560 μg/L, AUC was 0.872 with a specify of 97% and sensitivity of 27%, respectively (Figure 2).

Figure 2: Receiver operating characteristic analysis of serum procalcitonin that predicts CCHF patients, confirmed by RT-PCR test.
Figure 2:

Receiver operating characteristic analysis of serum procalcitonin that predicts CCHF patients, confirmed by RT-PCR test.

Survival analysis

A Chi-square test (with one df) of the overall difference between the level of the two procalcitonin groups were performed. According to this, for the two procalcitonin based group on the cut-off value found in our study were showed significantly different (log-rank: 4.358, p=0.037) (Figure 3).

Figure 3: Plot of survival distribution functions according to procalcitonin levels.
Figure 3:

Plot of survival distribution functions according to procalcitonin levels.

Power analysis

The post-hoc power analysis and affect size was calculated using G × Power 3.1.9.2 [14] based on difference between two means by Wilcoxon–Mann-Whitney test (two group) and good enough to detect a significant difference between the group at 98 % power level, d=0.616 effect size and type I error of 0.05.

Discussion

In a single study reported from Turkey with fewer patients a difference was noted between the procalcitonin levels of the survived and deceased patients with CCHF [15].

This retrospective study, however, is the first to suggest procalcitonin as a new biomarker for CCHF, to investigate a cut-off value for prediction at the time of first diagnosis, and to examine its association with survival.

The present study has shown that procalcitonin was increased in patients with CCHF, and that this elevation was correlated significantly with survival time. One particular strength of the present research was its reporting of procalcitonin levels both at first admission and on consecutive days of infection (9 days), which is unique in literature.

CCHF is a serious tick-borne viral disease (Orthonairovirus from the family of Bunyaviridae) that causes loss of life and which is endemic to Turkey [16]. Patients present to healthcare centers with dramatic and rapidly progressing complaints such as myalgia, fever and hemorrhage [17]. Depending on the quality of the health services and the geographical distribution overlap of Hyalomma and Ixodid spp. (the most important vectors), outbreaks of CCHF with case mortality rates of up to 40% have been reported [18]. The mortality rate of CCHF was found to be 5% in the present study.

High viremia levels are encountered in the first 5 days of illness [19], while specific IgM levels become measurable in the serum from day 5 of CCHF [17]. In the present study, procalcitonin was measured at its maximum level on day 2 following the onset of symptoms, and the highest viremia levels in the blood occur on days 2 and 3 of post-infection [20], [21]. It can thus be suggested that this high-level procalcitonin peak on day 2 may be associated with viremia levels.

The second increase wave of procalcitonin on day 5 is synchronous with the onset of IgM formation. This finding may be foreground the role of immunological mechanisms, which are also implicated as a cause of vascular endhotelitis in the etiopathology of CCHF. However, it was viral load, not IgM, in CCHF that was proposed as an independent prognostic marker in another study [22]. In the present study, viral load and immunoglobulins were measured only to confirm the diagnosis at the time of first admission to our emergency service, and the lack of a daily viral load quantitation and IgM titration follow-up due to the retrospective nature of the study can be considered a limitation of the study. Another study may be planned to examine the relationship between viral load, IgM levels and procalcitonin in CCHF.

The Hantaan, Seoul, Puumala and Dobrava viruses are all Orthohantaviridae family subtypes that cause hemorrhagic fever with renal syndrome (HFRS). Procalcitonin levels in HFRS associated with Hantaan viruses have been identified as an independent risk factor affecting the severity of the disease [23]. High serum procalcitonin levels, which are uncorrelated to the severity of kidney damage, have been recorded in nephropathy epidemics (NE) caused by Puumala virus [24]. The procalcitonin median value in HFSR patients caused by the Dobrava virus has been measured at 0.74 μg/L, while this value has been recorded as 0.50 μg/L for Puumala virus infections [25]. Although these are different members of the same family, the endothelial cell is the primary viral pathogenicity target in HFRS disease, as in CCHF disease. The procalcitonin median values in the present study were more compatible with Puumala virus infections, with 0.560 μg/L.

It is not uncommon that bacterial co-infections occur in severely-ill patients with viral hemorrhagic fevers. The any possible co-infection may be a cause of concomitant increase in serum procalcitonin levels observed in the disease. The effect of the possible secondary bacterial infection on WBC and procalcitonin levels could be considered in the patients who died, in our study. The fact that two of the patients died due to Staphylococcus aureus sepsis supports this finding.

These two patients were deceased on the 13th and 18th days of the follow-up period. The procalcitonin levels of these patients’ death days were 1.54 and 2.63 µg/L, and the procalcitonin levels at the time of first admission were 0.315 and 0.679 µg/L, respectively. These procalcitonin concentrations were evaluated in accordance with CCHF patient first day group averages.

These procalcitonin concentrations were interpreted as compatible with the group averages on the first day. In daily consecutive follow-up for these two patients, the procalcitonin levels of these patients tended to decrease starting from Day 6, but almost doubled from days 11 and 15, respectively. Procalcitonin is an acute phase reactant with an induction period of 4–12 h, peaking in 6–12 h and a half-life of 22–35 h, in bacterial origin inflammatory response [26].

According to the procalcitonin daily behavior findings of the deceased patients, sepsis, which is accused of for the etiology of two deaths, was interpreted as not originating from an existing bacterial infection at the time of first admission to the hospital, but of a hospital-acquired seconder bacterial infection.

Due to the nature of used statistical analysis, the values at the time of admission are used during ROC analysis conducted to evaluate the diagnostic and prognostic properties of the test. Therefore, we can say that these two patient results are not effective on the test sensitivity given in this study. Also, in the findings of procalcitonin daily behavioral graph, the results of these two patients had no effect on statistical results. We have not encountered any literature study on how a bacterial co-infection affects procalcitonin levels in CCHF patients. So, we have interpreted a nearly two-fold increase in the case of secondary infection (sepsis) as a valuable literature finding.

In the present study, a strong correlation was noted between procalcitonin and certain laboratory parameters that were reported previously as biomarkers in CCHF [27], [28]. It is known that serum PCT levels increase if bacterial, fungal or parasitic infections but increase normally or slightly in viral infections and non-infectious inflammatory reactions. However, the severity of the degree of CCHF endhotelitis may not be sufficient to explain this significant increase in procalcitonin levels. CCHF is also a disease that can cause kidney, lung, and especially sudden liver cell damage and, accordingly, liver failure. Indeed, in this study, significant acute liver damage is observed in CCHF patients. It has been previously shown that, without any bacterial infection, procalcitonin levels can increase >2.0 μg/L in toxic liver injury, regardless of the cytokine inducing effect of procalcitonin [29], [30]. Therefore, it can attribute the procalcitonin CCHF disease specific predictive effect of procalcitonin in this study not only to endothelial inflammation response but also to be a direct viral cell damage effect.

We demonstrated that procalcitonin showed the strongest correlation with lactate dehydrogenase, ferritin, activated partial thromboplastin time and aspartate aminotransferase. It has been reported that lactate dehydrogenase and procalcitonin elevate simultaneously only in influenza pneumonitis from among the viral diseases [31]. If it could be identified which isoenzyme was elevated, an advanced commentary could be made on the correlation between LDH and procalcitonin. However, a virus type has been identified that has an increased effect on the immunosuppressive conditions that in particular raise LDH enzymes in mice (Lactate dehydrogenase-elevating virus), and the cause of LDH elevation has been found to be the persistent destruction of the subpopulation of macrophages responsible for the circulatory clearance of this enzyme by the LDV virus [32]. Similar mechanisms explaining the elevation of LDH in CCHF were not identified in the present study.

Increased ferritin levels, which are thought to play an important role in hematophagocytosis in the pathogenesis of CCHF, have been identified as a marker in the diagnosis and prognosis of CCHF [33]. There was a strong correlation between procalcitonin and ferritin, in our study, and so we suggest that these acute phase reactants may be used as complementary markers, acting in the same direction in CCHF illness.

Fibrinogen levels did not vary significantly during hospitalization, although the lowest levels were recorded at the time of admission (median/min-max; 178–36/367 mg/dL). Similarly, there was no difference in the fibrinogen levels of the survivors and non-survivors (median-min/max; 116–26/305 vs. 226–36/367 mg/dL). We concluded that despite prolonged aPTT and INR, fibrinogen levels did not decrease significantly because it was a positive acute phase reactant.

Procalcitonin, which can be detected in circulation 2–6 h after adequate stimulation, has a clinical half-life of 20–24 h [34], and so the measurement of the time behavior of procalcitonin concentrations can be used to determine the clinical course after an induction event of limited duration in CCHF patients. As with the follow-up of sepsis, we can also say that follow-up of the overall daily procalcitonin measurements may be effective in the successful treatment and good prognosis in CCHF.

Although viral isolation is the standard in CCHF, there is still a high level of contamination risks, and only a limited number of laboratories can use this technique [35]. There is a lack of consensus on the most effective molecular or serological test method. Although there have been many studies into the prognosis of CCHF and the relationship between various biomarkers, access to these tests as routine laboratory requests by clinicians is difficult, and most of these tests are for research purposes. In this context, the prominence of short-term reported, easy-to-reach assistive diagnostic tests that provide support for clinical suspicion at the time of hospital admission is increasing. Further studies investigating the effects of simultaneous use of disease-specific different protein tests, quantitative laboratory parameters, and patient specific clinic data on procalcitonin test sensitivity and cut-off levels should be considered.

Procalcitonin values may serve as a prognostic indicator of the course of disease and an auxiliary biomarker to rule out the disease, although molecular and serological evaluations are necessary in CCHF. We therefore suggest procalcitonin as a clinically useful and supportive biomarker both in the diagnosis and follow-up of the disease, given the advantages of low cost, easy access, rapid results and simple methodology.


Corresponding author: Nahide Ekici Günay, MD, Department of Clinical Biochemistry, University of Health Science, Kayseri City Training and Research Hospital, Kayseri, Turkey. Phone: +0 352 336 88 84(1219-1228), Fax: 0 352 336 88 57, E-mail:

Acknowledgments

We thank the patients and their families for participating.

  1. Research funding: The study was conducted in collaboration with Kayseri Health Sciences University and Tokat Gaziosmanpaşa University. This is a retrospective observational study and no grant support has been received. Prior to the study, institutional scientific research committee permission was obtained to review the clinical records of patients.

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: Authors state no conflict of interest.

  4. Informed consent: Informed consent was obtained from the parents of all the patients using the data.

  5. Ethical approval: Ethical approval for this study was provided by the Ethical Committee Gaziosmanpaşa University, Medical Faculty, Tokat, Turkey. Personal identifiers were entirely removed and the records were analyzed anonymously.

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Received: 2020-01-01
Accepted: 2020-07-15
Published Online: 2020-08-10

© 2020 Walter de Gruyter GmbH, Berlin/Boston

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