Abstract
Objectives
IL-6 is an inflammatory marker and urea nitrogen (UREA) is a common indicator of glomerular filtration function. Their combined detection has predictive value for the severity of neonatal pneumonia.
Methods
We performed a cross-sectional analysis of the clinical and laboratory data, collected from 105 neonatal patients (including 76 mild to moderate pneumonia patients and 29 severe pneumonia patients).
Results
Mann–Whitney U-test showed serum IL-6 and UREA levels were significantly increased in severe pneumonia, compared with that in mild to moderate pneumonia (p<0.05). Correlation analysis showed the severity of neonatal pneumonia was positively correlated with serum IL-6 (r=0.284, p<0.05) and UREA (r=0.303, p<0.05) levels. Multivariate logistic regression analysis showed the increased levels of IL-6 (OR=1.002, 95 % CI 1.001–1.004) and UREA (OR=1.420, 95 % CI 1.046–1.926) were independent risk factors for the severity of neonatal pneumonia. ROC curve analysis showed that the predictive value of combined detection of serum IL-6 and UREA in the severity of neonatal pneumonia was better than that of either detection alone (area under curve [AUC] = 0.809, 95 % CI 0.711–0.894, p<0.001).
Conclusions
Combined detection of IL-6 and UREA had a good predictive value for evaluating the severity of neonatal pneumonia.
Introduction
Neonatal pneumonia is responsible for 10 % of all child deaths in the world, with mortality rates in underdeveloped countries as high as 15 to 49 million infant deaths from pneumonia annually [1, 2]. Neonatal pneumonia has a rapid onset and more complications than adult pneumonia. Newborn growth and development are severely compromised if treatment is not timely and thorough. Severe neonatal pneumonia presents with symptoms such as respiratory failure and various organ dysfunctions, which are more dangerous to the health of neonates and may even be life-threatening [3]. However, the neonatal organs are immature, the immune system is underdeveloped, and there are not enough clear and consistent clinical signs to track disease progression. As a result, it is extremely difficult for clinicians to determine in a timely manner whether neonatal pneumonia has progressed to a serious and dangerous condition.
As an inflammatory marker, IL-6 plays a role in the initiation and progression of inflammation and is associated with the severity of the disease’s clinical manifestations [4]. It has been reported that the addition of serum IL-6 to the A2DS2 score could significantly enhance the area under curve of predicting stroke-associated pneumonia in acute ischemic stroke patients from the medical ward [5]. A solid reference for the late treatment of neonatal pneumonia has also been suggested by the combination of color Doppler flow imaging, serum C-reactive protein (CRP), procalcitonin (PCT), and interleukin-6 (IL-6) levels [6]. In addition to inflammatory indicators, we are focusing on other potential biomarkers. Urea nitrogen (UREA) is formed in the liver from ammonia molecules and amino acids. It is a common indicator of glomerular filtration function in clinical practice and the major nitrogenous end product of protein degradation. The literature has identified the blood urea nitrogen to serum albumin ratio as a straightforward and possibly practical predictive indicator for death in patients with aspiration pneumonia [7]. In patients with severe pneumonia, a higher urea-to-albumin ratio at admission may be independently related with an increased risk of in-hospital mortality [8]. However, there is limited evidence on the relationship between severe neonatal pneumonia and UREA levels. Therefore, the aim of this study was to investigate the association between severe neonatal pneumonia and serum levels of IL-6 and UREA. May provide reference for differentiate of severe neonatal pneumonia.
Materials and methods
Study population
We retrospectively analyzed the clinical and laboratory data of 105 newborns hospitalized at the Children’s Hospital Affiliated to Zhengzhou University from January 2019 to January 2022, including 76 cases of mild to moderate pneumonia and 29 cases of severe pneumonia. Inclusion criteria: (1) diagnosed as mild to moderate pneumonia or severe pneumonia and (2) age 1-28d. Exclusion criteria include (1) incomplete laboratory data and (2) other diseases, such as congenital kidney disease, congenital heart disease, hematological diseases, cancer, and major congenital malformations. The study protocol adhered to the tenets of the Declaration of Helsinki and was approved by the Hospital Ethics Review Board. We certify that all information is private and anonymous. Informed permission was not needed because the current study was retrospective in nature.
Clinical evaluation and definition
According to the severity assessment of CAP in children by the british thoracic society [9], in infancy, mild to moderate pneumonia is characterized by a temperature <38.5 °C, respiratory rate <50 breaths/min, mild inspiratory depression of chest wall, and a normal diet. Severe pneumonia was manifested by temperature >38.5 °C, respiratory rate >70 breaths/min, moderate to severe inspiratory depression of chest wall, nasal alar fan, cyanosis, intermittent apnea, moaning, refusal to feed, tachycardia, and capillary refilling time ≥2 s. Excluded from the study were pulmonary illnesses brought on by meconium aspiration syndrome, congenital respiratory disorders, neonatal wet lung, neonatal respiratory distress syndrome, or other systemic illnesses.
Laboratory measurements
Venous blood samples were collected on admission. Blood interleukin-6 (IL-6) levels were measured using an electrochemiluminescence assay (Elecsys® BRAHMS PCT kit, Roche Diagnostic, Rotkreuz, Switzerland) on a Cobas® 8000 modular analyzer (Roche Diagnostic, Rotkreuz, Switzerland). IL-6 concentrations beyond the measurement limits of 5,000 pg/mL or below 1.5 pg/mL were regarded as 5,001 ng/mL and 1.4 ng/mL, respectively. On a UPPER analyzer (Upper Bio-Tech, Shanghai, China), high-sensitivity C-reactive protein (hsCRP) was detected using a latex-enhanced immunoturbidimetric assay (Ultrasensitive CRP kit, Upper Bio-Tech, Shanghai, China). An automatic blood cell counter (Sysmex Corporation, Kobe, Japan) was used to measure the WBC, platelet (PLT), and neutrophil counts. The PNR was calculated by dividing the absolute PLT count by the neutrophil count. Serum total protein (TP), albumin (ALB), urea nitrogen (UREA), creatinine (CREA), and uric acid (UA) levels were measured using an automatic biochemistry analyzer (AU5800 Clinical Chemistry Analyzers, Beckman Coulter, CA, USA) and a conventional clinical analytical method.
Statistical analysis
SPSS 25.0 (SPSS Inc., Chicago, Illinois) was used for the statistical analysis in this study, and GraphPad Prism 8 (GraphPad Software Inc., San Diego, CA, USA) was used to create the figures. Continuous variables are expressed as mean ± standard deviation (SD) or median (interquartile range) and analyzed using independent t-tests, one-way ANOVA, or Mann–Whitney U-test. The Chi-square or Fisher’s exact test is used to analyze categorical variables, which are expressed as numbers and percentages (n, %). The Pearson or Spearman correlation test was used to analyze the correlation between two continuous variables. Multivariate logistic regression analysis was used to determine the independent risk factors for the severity of neonatal pneumonia. The area under the receiver operating characteristic (ROC) curve was used to assess predictive accuracy. The optimal diagnostic cut-off point was determined according to the Youden index (sensitivity + specificity − 1). A p-value <0.05 indicated that the difference was statistically significant.
Results
Baseline clinical characteristics of the study population
A total of 105 cases were divided into mild to moderate pneumonia (76) and severe pneumonia (29). Table 1 displays the clinical and laboratory data for the two patient groups. There was no significant difference in age, sex, weight, temperature, heart rate, and systolic blood pressure (SBP) between the two groups. The respiratory rate was higher in severe pneumonia than in mild to moderate pneumonia (p<0.05), but diastolic blood pressure (DBP) was lower in severe pneumonia than in mild to moderate pneumonia (p<0.05). Severe pneumonia had higher IL-6 and hsCRP levels than mild to moderate pneumonia (p<0.05). There was no significant difference in the peripheral blood leukocyte and neutrophil counts between the two groups, but the platelet and PNR of severe pneumonia were lower than those of mild to moderate pneumonia (p<0.05). In addition, serum biochemical analysis showed that TP and ALB were lower in severe pneumonia than in mild to moderate pneumonia (p<0.05), but UREA was higher (p<0.05). In terms of CREA and UA, there was no discernible difference between the two groups.
Baseline characteristics of mild to moderate pneumonia and severe pneumonia.
| Variables | Mild to moderate pneumonia (n=76) | Severe pneumonia (n=29) | p-Value |
|---|---|---|---|
| Age, days | 16.0 (5.8, 23.0) | 9.0 (3.5, 26.5) | 0.588 |
| Gender male, % | 50 (65.8 %) | 15 (51.7 %) | 0.185 |
| Body weight, kg | 3.262 ± 0.743 | 2.949 ± 0.871 | 0.069 |
| Temperature, °C | 36.95 ± 0.45 | 36.76 ± 0.75 | 0.112 |
| Respiratory, rate/minute | 51.36 ± 11.04 | 57.07 ± 14.97 | 0.021 |
| Heart rate, bpm | 146.6 ± 14.5 | 148.2 ± 16.5 | 0.490 |
| SBP, mmHg | 76.14 ± 7.97 | 72.96 ± 12.21 | 0.135 |
| DBP, mmHg | 47.31 ± 6.32 | 42.97 ± 10.47 | 0.003 |
| IL-6, pg/mL | 12.89 (5.2, 151.0) | 140.2 (20.69, 423.1) | 0.004 |
| hsCRP, mg/L | 0.5 (0.5, 0.8) | 0.8 (0.5, 3.8) | 0.041 |
| WBC, ×109/L | 10.20 (8.29, 12.48) | 9.27 (9.77, 13.12) | 0.728 |
| PLT, ×109/L | 303.0 (243.8 ± 370.8) | 235.0 (159.0 ± 373.0) | 0.042 |
| Neutrophil count, ×109/L | 4.08 (2.58, 6.58) | 5.39 (3.00, 9.80) | 0.093 |
| PNR | 87.01 (37.81, 102.6) | 40.61 (20.08, 102.6) | 0.040 |
| TP, g/L | 52.12 ± 5.81 | 49.44 ± 7.06 | 0.049 |
| ALB, g/L | 33.06 ± 4.75 | 30.64 ± 6.34 | 0.037 |
| UREA, mmol/L | 2.75 (1.90, 3.78) | 4.20 (2.55, 5.90) | 0.002 |
| CREA, mmol/L | 32.1 (22.5, 45.0) | 36.2 (28.3, 71.2) | 0.095 |
| UA, mmol/L | 152.7 (124.1, 214.1) | 181.0 (143.9, 258.1) | 0.113 |
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All values are presented as the mean ± SD or n (%) or as the median (interquartile range). SBP, systolic blood pressure; DBP, diastolic blood pressure; IL-6, interleukin-6; hsCRP, high sensitivity C-reactive protein; WBC, white blood cell; PLT, platelet; PNR, platelet-to-neutrophil ratio; TP, total protein; ALB, albumin; UREA, urea nitrogen; CREA, creatinine; UA, uric acid.
Correlation between the severity of neonatal pneumonia and clinical parameters
We used a Spearman correlation analysis to further investigate the connection between clinical indicators and the severity of newborn pneumonia. According to Table 2, PLT (r=−0.211, p=0.031), PNR (r=−0.201, p=0.040), TP (r=−0.214, p=0.028), and ALB (r=−0.237, p=0.015) all had a negative correlation with the severity of newborn pneumonia. Meanwhile, CRP (r=0.200, p=0.041), IL-6 (r=0.284, p=0.003), and UREA (r=0.303, p=0.002) all showed positive correlations with the severity of newborn pneumonia.
Correlation between the severity of neonatal pneumonia and clinical parameters.
| Variables | r | p-Value |
|---|---|---|
| hsCRP, mg/L | 0.200 | 0.041 |
| IL-6, pg/mL | 0.284 | 0.003 |
| PLT, ×109/L | −0.211 | 0.031 |
| PNR | −0.201 | 0.040 |
| TP, g/L | −0.214 | 0.028 |
| ALB, g/L | −0.237 | 0.015 |
| UREA, mmol/L | 0.303 | 0.002 |
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IL-6, interleukin-6; hsCRP, high sensitivity C-reactive protein; PLT, platelet; PNR, platelet-to- neutrophil ratio; TP, total protein; ALB, albumin; UREA, urea nitrogen.
Influencing factors of severity of neonatal pneumonia
Multivariate logistic regression was used to analyze the risk factors for the severity of neonatal pneumonia. Univariate analysis variables with p<0.05 were included in the multivariate analysis model, including IL-6, hsCRP, PLT, PNR, TP, ALB, and UREA. Multifactorial analysis revealed IL-6 (OR=1.002, 95 % CI 1.001–1.004, p<0.05) and UREA (OR=1.420, 95 % CI 1.046–1.926, p<0.05) as independent risk factors for the severity of neonatal pneumonia (Table 3).
Multivariate logistic regression analysis for severity of neonatal pneumonia.
| Variables | OR | 95 % CI | p-Value |
|---|---|---|---|
| hsCRP, mg/L | 1.148 | 0.930–1.416 | 0.199 |
| IL-6, pg/mL | 1.002 | 1.001–1.004 | 0.005 |
| PLT, ×109/L | 1.001 | 0.995–1.006 | 0.858 |
| PNR | 1.008 | 0.999–1.017 | 0.071 |
| TP, g/L | 0.955 | 0.846–1.078 | 0.456 |
| ALB, g/L | 0.930 | 0.789–1.094 | 0.381 |
| UREA, mmol/L | 1.420 | 1.046–1.926 | 0.024 |
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IL-6, interleukin-6; hsCRP, high sensitivity C-reactive protein; PLT, platelet; PNR, platelet-to- neutrophil ratio; TP, total protein; ALB, albumin; UREA, urea nitrogen.
Analysis of receiver operating characteristic curve
Receiver operating characteristic (ROC) curve analysis was used to evaluate the efficacy of IL-6 combined with UREA in predicting the severity of neonatal pneumonia. Area under the curve (AUC) results revealed that IL-6 and UREA together had a more significant ability to discriminate than either IL-6 or UREA alone (AUC=0.809, 95 % CI 0.711–0.894, p<0.001) (Figure 1). The ROC curve showed that IL-6 had a sensitivity and specificity of 68.97 and 65.79 %, respectively, in predicting the severity of neonatal pneumonia. UREA had a 55.17 % sensitivity and 85.53 % specificity for predicting the severity of neonatal pneumonia, respectively. Binary logistic regression analysis was performed with IL-6 and UREA as independent variables to obtain a logistic regression model: Logit (p)=0.861 + 0.002 IL-6 + 0.350 UREA. The sensitivity of IL-6 combined with UREA in predicting the severity of neonatal pneumonia was 72.41 % and the specificity was 77.63 % when the cut-off value was 0.28 (Table 4).

ROC curves for IL-6 and UREA separately and in combination to predict the severity of neonatal pneumonia.
The efficacy of IL-6, UREA alone and combined detection in predicting the severity of neonatal pneumonia.
| Variables | AUC | 95 % CI | Cut-off | Sensitivity, % | Specificity, % | p-Value |
|---|---|---|---|---|---|---|
| IL-6 | 0.683a | 0.572–0.794 | 42.24 pg/mL | 68.97 | 65.79 | 0.004 |
| UREA | 0.695b | 0.577–0.814 | 4.05 mmol/L | 55.17 | 85.53 | 0.002 |
| Combined | 0.809 | 0.711–0.894 | 0.28 | 72.41 | 77.63 | <0.001 |
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ap<0.05 for IL-6 vs. combined. bp<0.05 for UREA vs. combined. IL-6, interleukin-6; UREA, urea nitrogen.
Discussion
Neonatal pneumonia is the most common severe respiratory disease in the newborn period. It is characterized by diffuse pulmonary lesions and atypical clinical manifestations. It is one of the major causes of neonatal death [10]. In western China, about 34.5 % of newborns die from neonatal pneumonia [11]. Unlike pneumonia in older children, neonatal pneumonia is atypical, occasionally accompanied by coughing, and temperature may not rise, the main symptoms are purple around the lips, foaming at the mouth, dyspnea, discomfort, and refusal to drink milk [12]. Therefore, it is of great importance to find biomarkers with high sensitivity and specificity to monitor the progression of neonatal pneumonia, so that we can judge whether it is necessary to turn into a severe and critical illness, and then take appropriate treatment measures.
IL-6 is a lymphokine produced by activated T cells and fibroblasts. It can promote the differentiation of primitive bone marrow cells and enhance the lysis of NK cells [13]. In innate immunity, IL-6 directs the trafficking and activation of leukocytes and induces acute phase reaction proteins in hepatocytes [14]. Therefore, IL-6 will also appear earlier than various acute phase reaction proteins. It is more suitable as a monitor for the progression of neonatal pneumonia. According to research by Zhou et al., Agiostrongylus cantonensis larvae can cause deadly pneumonia in mice in the acute and early stages of infection, significantly activate Stat3/IL-6 signaling, and enrich bone marrow cells. Additionally, in the early stage of the disease, Stat3/IL-6 inhibitors can significantly reduce the progression of severe pneumonia [15]. This supports our observation that serum IL-6 levels were markedly higher in severe pneumonia compared to mild to moderate pneumonia. In addition, increased levels of IL-6 were also discovered to be an independent risk factor for the severity of neonatal pneumonia.
On the other hand, serum UREA is a common clinical indicator of glomerular filtration function. According to our results, serum UREA level in the severe pneumonia was significantly higher than that in the mild to moderate pneumonia, and increased levels of UREA was an independent risk factor for the severity of neonatal pneumonia. UREA is an indirect marker of the metabolic pathway [16]. An elevated serum UREA level is considered to indicate protein catabolism. Dehydration and hyperosmotic conditions are common in neonatal pneumonia, which raise UREA concentrations. In addition, Pierluigi et al. noted that acute kidney damage prevalence was higher in children with severe compared to non-severe pneumonia in the study of acute renal injury in children hospitalized for community acquired pneumonia [17]. UREA is mostly eliminated by the kidney, thus if a patient has impaired renal function, UREA levels may be raised, which is probable in neonates.
The ROC curve also revealed that the AUC for IL-6 was 0.968, for UREA it was 0.683, and for IL-6 + UREA it was 0.809. This demonstrates that IL-6 and UREA detection in combination had a much greater ability to discriminate the severity of neonatal pneumonia than IL-6 or UREA alone. Additionally, the combined detection of IL-6 and UREA had a better sensitivity than either IL-6 or UREA by themselves. Previous research has concentrated on the use of distinct acute phase reactants to distinguish the origin and/or severity of CAP [18], [19], [20], [21]. Our combination detection covers both the glomerular filtration function test index UREA and the inflammation-associated cytokines IL-6, which makes it easier to observe newborn pneumonia illness progression from many angles. Additionally, it has been documented that IL-6 results in lung damage following acute kidney injury [22]. IL-6 inhibitors may be administered more frequently in COVID-19 patients with acute renal damage, according to Yasar et al. The inhibition of oxidative stress and apoptosis in kidney tissue by IL-6 inhibitors may be related to blocking nuclear factor kappa B activation [23]. We infer from the literature at hand that IL-6 and kidney damage are related, and more research is required to determine their processes in newborn pneumonia.
However, our study still has some limitations, such as the small sample size and the lack of follow-up on the future clinical outcomes of this study. Furthermore, IL-6 and UREA were measured at only one time point, and if these two biomarkers were measured consecutively at multiple stages of neonatal pneumonia, it would be useful to further explore their predictive value for the severity of neonatal pneumonia disease.
Conclusions
The severity of neonatal pneumonia was positively and independently linked with higher serum IL-6 and UREA levels. The levels of serum IL-6 combined with UREA can be used as a reference index to assess the progress of neonatal pneumonia. The combined detection of the two biomarkers has a good predictive value for severe neonatal pneumonia.
Funding source: The Key Research, Development, and Promotion Projects of Henan Province
Award Identifier / Grant number: 222102310067
Funding source: The Medical Science and Technology (joint construction) Project of Henan Province
Award Identifier / Grant number: LHGJ20220750
Acknowledgments
The authors thank all of the contributors for their valuable input on this paper.
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Research ethics: The study was conducted in accordance with the Declaration of Helsinki and approved by the Ethics Committee of Children’s Hospital Affiliated to Zhengzhou University.
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Informed consent: We confirm that all data are anonymous and confidential. Considering the retrospective nature of the current study, informed consent was not required.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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Research funding: This work was supported by the Key Research, Development, and Promotion Projects of Henan Province [222102310067] and the Medical Science and Technology (joint construction) Project of Henan Province [LHGJ20220750].
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© 2023 the author(s), published by De Gruyter, Berlin/Boston
This work is licensed under the Creative Commons Attribution 4.0 International License.
Articles in the same Issue
- Frontmatter
- Original Articles
- Proof of concept: stabilized whole blood material suitable for external quality assessment of near-patient testing devices
- Predictive value of combined serum IL-6 with UREA on severity of neonatal pneumonia: an observational study
- Performance evaluation of the automated body fluid analysis of the new Sysmex XR haematology analyser
- The quality and quantity of compounds affected by viral inactivation methods in dried blood spots
- Short Communication
- Second generation of soluble transferrin receptor assay – consequences for the interpretation of the ‘Thomas plot’
- Acknowledgment
- Acknowledgment
Articles in the same Issue
- Frontmatter
- Original Articles
- Proof of concept: stabilized whole blood material suitable for external quality assessment of near-patient testing devices
- Predictive value of combined serum IL-6 with UREA on severity of neonatal pneumonia: an observational study
- Performance evaluation of the automated body fluid analysis of the new Sysmex XR haematology analyser
- The quality and quantity of compounds affected by viral inactivation methods in dried blood spots
- Short Communication
- Second generation of soluble transferrin receptor assay – consequences for the interpretation of the ‘Thomas plot’
- Acknowledgment
- Acknowledgment