| Literature DB >> 26396733 |
Abdel Hakeem Abdel Mohsen1, Bothina Ahmed Kamel2.
Abstract
BACKGROUND: Early diagnosis of neonatal sepsis followed by appropriate treatment decreases mortality and morbidity in infants. The aim of this study is to assess the role of procalcitonin (PCT) as a marker in the early diagnosis of neonatal sepsis.Entities:
Keywords: C-reactive protein; Neonatal sepsis; Procalcitonin
Year: 2015 PMID: 26396733 PMCID: PMC4578539 DOI: 10.14661/2015.1190-1195
Source DB: PubMed Journal: Electron Physician ISSN: 2008-5842
Demographic and clinical characteristics of the studied cases (n=35) and controls (n=35)
| Characteristics | Group 1 (Cases) | Group 2 (Controls) | Chi-square | P | |
|---|---|---|---|---|---|
| Gestational age | Full term | 21 (60%) | 25 (71.4%) | 1.01 | 0.4 |
| Sex | Male | 19 (54.3%) | 13 (37.1%) | 2.07 | 0.1 |
| Gestational weight | Range | 750–3700 | 1400–3500 | 0.49 | 0.6 |
| Mode of delivery | Normal | 15 (42.6%) | 26 (74.3%) | 7.12 | 0.04 |
| Apgar | Score 1 | 6.29±2.3 | 8.1±1.3 | 0.5 | 0.18 |
| Blood culture | Positive | 35(100%) | 0 | 70.000 | 0.0001 |
CS: caesarian section
Comparison between neonates with sepsis and control neonates with regards to laboratory findings
| Characters | Cases | Controls | t-test | P | |
|---|---|---|---|---|---|
| Total leukocytic count (/µl) | Range | 9.5–20.1 | 8–11 | 13.8 | 0.001 |
| Hb (g/dl) | Range | 11.3–18.4 | 11–14 | 0.48 | 0.5 |
| Total bilirubin (mg/dl) | Range | 7.6–20 | 2–8 | 8.68 | 0.001 |
| Direct bilirubin (mg/dl) | Range | 1–2.3 | 0.5–1 | 2.71 | 0.001 |
| CRP | Range | 52.5–151.1 | 5.6–11.6 | 10.22 | 0.0001 |
| Procalcitonin level (pg/ml) | Range | 52.5–556.3 | 5.6–110.6 | 5.51 | 0.0001 |
Hb: Hemoglobin level, CRP: C-reactive protein
The sensitivity, the specificity, PPV, and NPV of PCT and CRP
| Cut-off value | Sensitivity | Specificity | PPV | NPV | |
|---|---|---|---|---|---|
| CRP | 12 mg/l | 72.9% | 100% | 93.2% | 69.7 |
| Procalcitonin | 1.1 pg/ml | 80% | 85.7% | 84.4% | 81.1% |
CRP= C-reactive protein, PPV= Positive predictive value, NPV= Negative Predictive value