Treatment of respiratory syncytial virus with palivizumab: a systematic review

Jia Hu1, Joan L Robinson

  • 1Department of Pediatrics and Stollery Children's Hospital, University of Alberta, Edmonton, Canada.

Insights

Palivizumab is not recommended for respiratory syncytial virus (RSV) therapy. Current data does not support its use for upper or lower respiratory tract infections, necessitating further research.

Area of Science:

  • Immunology
  • Virology
  • Pediatrics

Background:

  • Palivizumab is effective for respiratory syncytial virus (RSV) prophylaxis in high-risk infants.
  • Limited data exists on palivizumab's use for RSV upper respiratory tract infection (URTI) progression or severe lower respiratory tract infection (LRTI) therapy.

Purpose of the Study:

  • To systematically review the literature on palivizumab's efficacy as a therapy for RSV.
  • To assess clinical outcomes, including URTI to LRTI progression and survival rates.

Main Methods:

  • Systematic literature review of studies on palivizumab for RSV therapy.
  • Primary outcomes: URTI to LRTI progression, survival rates.
  • Secondary outcomes: adverse events, serum palivizumab levels, viral load.

Main Results:

  • Included 1 case report, 4 case series, 2 RCTs (136 patients).
  • RCTs lacked power for clinical outcomes.
  • Mortality: 12% (URTI), 6% (LRTI). Palivizumab reduced RSV concentration.

Conclusions:

  • Palivizumab is not currently recommended for RSV therapy.
  • Larger randomized controlled trials (RCTs) are needed to establish efficacy and safety.
Abstract

Related Concept Videos

Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview01:13

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.6K
Treatment for Pulmonary Arterial Hypertension: Oxygen Therapy for Respiratory Failure01:16

Treatment for Pulmonary Arterial Hypertension: Oxygen Therapy for Respiratory Failure

Oxygen therapy has emerged as a significant tool in enhancing the quality of life for patients suffering from pulmonary arterial hypertension (PAH). While this therapy has principally been studied on patients with significant hypoxemia, this therapeutic approach helps prevent potential organ damage and can be administered in the comfort of one's home.
Oxygen therapy is vital in increasing and maintaining blood oxygen levels in PAH patients. As a result, it aids in reducing fatigue,...
642
What are Viruses?00:50

What are Viruses?

Overview
128.5K
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
15.4K
Systematic Sampling Method01:17

Systematic Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
13.4K