Proportion, Morbidity, and Mortality of Acute Invasive Fungal Rhinosinusitis in Immunocompromised Populations: A

Estephania Candelo1,2, Srivatsa Surya Vasudevan1, Gene C Osuoha3

  • 1Department of Otolaryngology-Head and Neck Surgery, Mayo Clinic Jacksonville, Jacksonville, Florida.

Abstract

Insights

Acute invasive fungal rhinosinusitis (AIFRS) is increasing in immunocompromised patients, but mortality rates have decreased due to improved treatments. Early detection and management are crucial for better outcomes in AIFRS cases.

Area of Science:

  • Infectious Diseases
  • Otolaryngology
  • Immunology

Background:

  • Acute invasive fungal rhinosinusitis (AIFRS) is a severe infection primarily affecting immunocompromised individuals.
  • Recent advancements in diagnostics, antifungal therapies, and surgical interventions may impact AIFRS outcomes.

Purpose of the Study:

  • To analyze temporal trends in AIFRS incidence, morbidity, and mortality among immunocompromised patients.
  • To assess the influence of diagnostic and therapeutic progress on AIFRS outcomes.

Main Methods:

  • A systematic review and meta-analysis of studies published from 1977 to 2025.
  • Inclusion of prospective, retrospective, cross-sectional studies, and case series with at least 10 patients.
  • Data extraction and synthesis using standardized templates and random-effects meta-analysis.

Main Results:

  • Analysis of 205 studies involving 48,437 patients revealed a pooled AIFRS proportion of 11.8%, increasing to 16.6% in studies from 2013-2025.
  • Overall mortality decreased from 41.9% before 2013 to 28.2% after 2013.
  • Morbidity rates remained stable (39.3% vs. 36.4%), with common complications including vision loss and proptosis.

Conclusions:

  • The incidence of AIFRS in immunocompromised patients has risen, while mortality has declined, suggesting improved management strategies.
  • Despite advances, AIFRS remains a significant threat, underscoring the need for early diagnosis and aggressive treatment.

Related Concept Videos

Sample Proportion and Population Proportion01:20

Sample Proportion and Population Proportion

Collecting samples or responses from an entire population takes significant time and effort, so a researcher collects responses from only a sample of that population. Suppose a study needs to collect information about a specific mobile application. After sample collection, the researcher analyzes the data and discovers that most individuals in the sample use that specific mobile application. The sample proportion measures the number of individuals in a sample who either use or don't use the...
6.4K
Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
3.9K
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...
8.3K
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...
10.9K
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
690
Conservation of Small Populations02:04

Conservation of Small Populations

Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less...
16.7K