Roles of Some Non-classic Biomarkers in Pediatric Pneumonia

January 25, 2023 updated by: Nahla Sameh Abd El-Aleem Mahmoud, Assiut University

Prognostic and Diagnostic Roles of Some Non-classic Biomarkers in Pediatric Pneumonia

The current work aims to:

  1. Measure the levels of Neutrophil CD64 Receptor, Monocyte Human Leukocyte Antigen-DR (mHLA-DR), and Triggering Receptor Expressed on Myeloid Cells 1 (TREM-1) in children suffering from pneumonia.
  2. Compare these levels to their levels in healthy control children.
  3. Analyze the cut-off point, sensitivity, specificity, and area under the ROC curve of these biomarkers to test their abilities to early differentiate children with pneumonia from healthy control children.
  4. Conclude or reject their possible use as diagnostic and/or prognostic markers in pediatric pneumonia.

Study Overview

Status

Not yet recruiting

Detailed Description

Pneumonia is the world's leading infectious cause of mortality. It is one of the most common lower respiratory tract infections, which contributes significantly to the burden of antibiotic use. Because of the complexity of the pathophysiology, pneumonia is widely recognized that the clinical diagnosis and prognosis are usually not enough to accurately estimate the severity of the condition. The most difficult task for a doctor is above all the value of risk in patients with community-acquired pneumonia. Early diagnosis is important to reduce hospitalization and death.

There are widespread biomarkers, none of which looks perfect, and the demand for new biomarkers that maximizes the severity and treatment response for pneumonia has increased. Indirect methods are utilized to isolate the organism. These include polymerase chain reaction of throat swab, gram stain, culture of nasopharyngeal aspirate, and blood cultures. However, interpretation can be difficult as children are found to be asymptomatic carriers of a range of organisms and a positive result on PCR may not be indicative of the cause of CAP. C-reactive protein, and White blood cell count are often part of the diagnostic workup in an inpatient setting. However, the changes observed are not specific to predict causative pathogens. Instrumental diagnostics, such as a chest X-ray are not sensitive or specific and are not recommended in the initial diagnosis of a suspected community acquired pneumonia.

Biomarkers in pneumonia may be the ones that indicate inflammation or may be released specifically, after lung injury due to infection. The measured levels of biomarkers should be interpreted cautiously and always be correlated with clinical findings as many confounding factors should be taken into consideration for interpretation. Factors like age, antibiotic pretreatment, chronic hepatic disease, corticosteroids, renal impairment, and viral confection can critically affect some biomarker levels and thus their sensitivity and specificity regarding treatment failure and clinical stability. Hence, results should be interpreted in line with the clinical presentation, and they should never substitute clinical judgment.

The importance of the classic biomarkers such as procalcitonin and C-reactive protein has been declined. The limitations of PCT are being elevated in a variety of noninfectious conditions, such as cirrhosis, pancreatitis, mesenteric infarction, burns, and aspiration pneumonitis. Also, its diagnostic and predictive value declines in patients with severe sepsis and in localized infections (e.g., endocarditis, empyema). Studies differ as to what are the appropriate negative cut-off points for PCT. Criticism of the role of CRP in diagnostics includes not only the delay in response to clinical stimulus but also its poor specificity as it is elevated in a variety of pathologies, such as trauma, surgery, burns, and immunological-mediated inflammatory diseases. Mendez et al. successfully demonstrated that CRP is a significant independent predictor for the absence of severe complications in CAP.

The establishment of new biomarkers in clinical practice would not only facilitate accurate diagnosis but would also help to reduce the amount of antibiotics used. Burgos etal. [2016] assess the usefulness of neutrophil CD64 expression to identify patients with community-acquired pneumonia (CAP) at risk of a poor outcome. The sensitivity/specificity of nCD64 in predicting poor outcome [defined as intensive care unit (ICU) admission and/or clinical deterioration after arrival at the emergency department] was calculated. Although nCD64 expression is associated with an increased risk of ICU admission or clinical deterioration after admission, its accuracy in predicting these poor outcomes is modest and does not significantly improve the predictive ability of severity scores. Qun and Mei-Yu [2012], studied the clinical value of the expression of neutrophil surface CD64 in the diagnosis of community-acquired pneumonia in children. They found that ROC curve analysis showed that the threshold of CD64 and CRP was 2.8 and 8 mg/L respectively. Specificity of CD64 index (90%) was much higher than CRP (74%). They stated that the determination of peripheral blood neutrophil CD64 contributes to the early diagnosis of pulmonary bacterial infection and the evaluation of the anti-infection effect.

Zhuang etal., [2015] study the level of monocyte-human leukocyte antigen-DR (mHLA-DR), an immune function-related biomarker, at 24 h after admission, to predict the outcomes of subjects with severe pneumonia. They found that mHLA-DR may be a reliable biomarker that can predict the outcomes of patients with severe community-acquired pneumonia, and 27.2% may be the cut-off value to predict the outcomes. They reported that non-survivors significantly expressed reduced levels of mHLA-DR on their monocyte membranes. There is still not enough evidence whether mHLA-DR could be a useful marker in CAP.

Triggering receptor expressed on myeloid cells 1 (TREM-1) is an inflammatory receptor that causes inflammation after exposure to extracellular fungi and bacterial pathogens. Elevated TREM-1 levels are a potential marker of lung disease. El Nady etal. [2019] found that TREM-1 level was significantly higher in ventilated children with pneumonia compared to the control group (1). Grover et al. [2014] found that TREM-1 is a good predictor of ventilator-associated pneumonia (VAP) ; however, Palazzo et al. 2012 claimed that TREM-1 can be found elevated in the bronchoalveolar lavage (BAL) fluid of patients with and without confirmed VAP. Therefore, further studies are required to fully determine the diagnostic power of TREM-1 for VAP.

Study Type

Observational

Enrollment (Anticipated)

120

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

1 month to 5 years (Child)

Accepts Healthy Volunteers

N/A

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

60 infant and child aged 1 month to 5 years with pneumonia and 60 normal infant and child of comparable age and sex as control.

Description

Inclusion Criteria:

  1. Children more than one month and till age of 5 years
  2. Clinical diagnosis of CAP.

Exclusion Criteria:

1) All pediatric patients with comorbidities and diagnosed with CAP as: severe sepsis& localized infections e.g., endocarditis, empyema& autoimmune diseases& liver cirrhosis& children receiving immunosuppressive therapy.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Case-Control
  • Time Perspectives: Prospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Measure the level of Neutrophil CD64 Receptor
Time Frame: Baseline
a peripheral blood neutrophil CD64
Baseline
Measure the level of Monocyte Human Leukocyte Antigen-DR (mHLA-DR)
Time Frame: Baseline
an immune function-related biomarker
Baseline
Measure the level of Triggering Receptor Expressed on Myeloid Cells 1 (TREM-1)
Time Frame: Baseline
an inflammatory receptor that causes inflammation after exposure to extracellular fungi and bacterial pathogens
Baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: El-Sayed Khalil, Prof, Assiut University
  • Principal Investigator: Yasser Farouk, Assist prof, Assiut University
  • Principal Investigator: Khalid Mohany, Assist prof, Assiut University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

July 1, 2023

Primary Completion (Anticipated)

January 1, 2024

Study Completion (Anticipated)

June 1, 2024

Study Registration Dates

First Submitted

December 17, 2022

First Submitted That Met QC Criteria

January 25, 2023

First Posted (Actual)

January 27, 2023

Study Record Updates

Last Update Posted (Actual)

January 27, 2023

Last Update Submitted That Met QC Criteria

January 25, 2023

Last Verified

January 1, 2023

More Information

Terms related to this study

Other Study ID Numbers

  • Pneumonia biomarkers

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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