| Literature DB >> 24678395 |
Dilip Kumar Patel1, Manoj Kumar Mohapatra1, Ancil George Thomas1, Siris Patel2, Prasanta Purohit2.
Abstract
Sickle cell anaemia (SCA) patients with vaso-occlusive crisis (VOC) have signs of inflammation and it is often difficult to diagnose a bacterial infection in them. This study was undertaken to evaluate the role of serum procalcitonin (PCT) as a biomarker of bacterial infection in acute sickle cell vaso-occlusive crisis. Hundred homozygous SCA patients were studied at Sickle Cell Clinic and Molecular Biology Laboratory, V.S.S. Medical College, Burla, Odisha, India. All the patients were divided into three categories namely category-A (VOC/ACS with SIRS but without evidence of bacterial infection - 66 patients), category-B (VOC/ACS with SIRS and either proven or suspected bacterial infection - 24 patients) and category-C (SCA patients in steady state without VOC/ACS or SIRS - 10 patients). Complete blood count, C-reactive protein (CRP) estimation and PCT measurement were done in all the patients. There was no significant difference in TLC and CRP values between category-A and B. In category-A, the PCT level was <0.5 ng/mL in 83.3% and 0.5-2 ng/mL in 16.7% of cases. In category-B, all the patients had PCT value >0.5 ng/mL with 87.5% of patients having >2 ng/mL. In category-C, PCT value was <0.5 ng/mL. PCT had a high sensitivity (100%) and negative predictive value (100%) for bacterial infection at a cutoff value of 0.5 ng/mL; whereas the specificity is excellent at a cut-off value of 2 ng/mL. SCA patients with VOC/ACS and SIRS having a PCT level of <0.5 ng/mL have a low probability of bacterial infection whereas PCT value of >2 ng/mL is indicative of bacterial infection necessitating early antimicrobial therapy.Entities:
Year: 2014 PMID: 24678395 PMCID: PMC3965728 DOI: 10.4084/MJHID.2014.018
Source DB: PubMed Journal: Mediterr J Hematol Infect Dis ISSN: 2035-3006 Impact factor: 2.576
Figure 1Recruitment procedure, categorization, treatment and outcome of sickle cell anaemia patients.
General characteristics and laboratory findings of sickle cell anaemia patients in three categories.
| Category- A (n=66) | Category- B (n=24) | Category- C (n=10) | ||
|---|---|---|---|---|
|
| ||||
| Age | 24.12 ± 3.0 | 23.04 ± 5.04 | 26.3 ± 2.2 | 0.058 |
| Sex | ||||
| Male | 36 | 10 | 6 | |
| Female | 30 | 14 | 4 | >0.05 |
| Heart Rate (/min) | 104.6 ±8.4 | 111.5 ± 8.7 | 78.9 ± 6.1 | <0.0001 |
| Systolic BP (mm of Hg) | 116.5 ± 7.3 | 112.5±13.4 | 118.2 ± 7.5 | 0.1289 |
| Diastolic BP (mm of Hg) | 71.7 ± 8.5 | 70.7 ± 9.1 | 77.4 ± 6.4 | 0.1015 |
| Temperature (®F) | 100.0 ± 1.3 | 101.3 ± 1.6 | 98.6 ± 1.2 | <0.0001 |
| Hospitalization (Days in Median) | 5 | 7 | 0 | <0.0001 |
| TLC (×103/mm ) | 11.2 ± 1.8 | 11.8 ± 2.4 | 8.3 ± 1.4 | <0.0001 |
| Hemoglobin (gm/dL) | 8.04 ± 1.01 | 7.8 ± 1.4 | 8.72 ± 0.93 | 0.0828 |
| CRP (mg/L) | 110.3 ± 25.5 | 118.6±19.6 | 8.0 ± 3.06 | <0.0001 |
| Mortality (%) | 4.54 | 8.33 | 0 | >0.05 |
Category-A. SCA patients with VOC/ACS and SIRS without proven or suspected bacterial infection; Category-B. SCA patients with VOC/ACS and SIRS without proven or suspected bacterial infection; Category-C. Patients in steady state without VOC/ACS or SIRS.
p<0.001 compared with Category C;
p<0.01 compared with Category B.
BP; Blood Pressure; TLC: Total Leucocyte count; CRP: C-Reactive protein.
PCT level in sickle cell anaemia patients with various bacterial infections in category-B.
| Types of bacterial infection | <0.5 ng/mL | 0.5–2.0 ng/mL | 2.0–10.0 ng/mL | ≥10 ng/mL |
|---|---|---|---|---|
| Urinary Tract Infection (n=9) | 0 | 3 | 3 | 3 |
| Acute Calculus Cholecystitis (n=2) | 0 | 0 | 1 | 1 |
| Septicaemia (n=3) | 0 | 0 | 0 | 3 |
| Pneumonia (n=10) | 0 | 0 | 2 | 8 |
|
| ||||
| Total | 0 | 3 | 6 | 15 |
Figure 2Comparison of TLC in four ranges of PCT in category A and B. PCT ranges 1, 2, 3 and 4 in graph represent <0.5, 0.5–2, 2–10 and ≥10 ng/mL ranges of PCT respectively. There was no significant difference in TLC level in four ranges of PCT (p>0.05). The increase in TLC level was inconsistent in patients without infection to with infection as increase in the PCT level. PCT-Procalcitonin; TLC-Total leucocyte count.
Figure 3Comparison of CRP value in four ranges of PCT in category-A and B. PCT ranges 1, 2, 3 and 4 in graphs represent <0.5, 0.5–2, 2–10 and ≥10 ng/mL ranges of PCT respectively. There was no significant difference in CRP level in four ranges of PCT (p>0.05). The increase in CRP level was inconsistent in patients without infection to with infection as increase in the PCT level. PCT-Procalcitonin; CRP-C-Reactive protein.
Descriptive statistics of the accuracy of procalcitonin (PCT) as a biomarker for bacterial infections in sickle cell anaemia patients using various cut-off points.
| Sickle cell anaemia cases | Procalcitonin Cut-off points | ||
|---|---|---|---|
| 0.5 ng/mL | 2.0ng/mL | 10.0 ng/mL | |
| Sensitivity | 100.00 % (85.62 % to 100.00 %) | 87.50 % (67.61% to 97.20 %) | 62.50 % (40.60 % to 81.16 %) |
| Specificity | 85.53% (75.57 % to 92.54 %) | 100.00 % (95.21 % to 100.00 %) | |
| Positive Predictive Value | 68.57 % (50.71 % to 83.13%) | 100.00 % (83.75% to 100.00 %) | 100.00 % (78.03 % to 100.00 %) |
| Negative Predictive Value | 96.20 % (89.29 % to 99.17 %) | 88.46 % (80.84 % to 95.03 %) | |
Data is shown with 95% Confidence Interval.
Figure 4Clinical algorithm for guidance of antibiotic therapy in sickle cell anaemia patients with VOC/ACS and SIRS.