Development of a Severity Scoring System for Mycoplasma pneumoniae Infection - European Medical Journal

This site is intended for healthcare professionals

Development of a Severity Scoring System for Mycoplasma pneumoniae Infection

Download PDF
Authors:
* Kristen Kelly , 1 Declan Quinn , 1 Traci Leong , 2 Jennifer Burns , 1 Angelica Moran , 3 Sophie Ginsberg , 1 Rachel Baccile , 4 Lilly Cheng-Immergluck 1
  • 1. Department of Pediatrics, University of Chicago Medicine, Illinois, USA
  • 2. Emory University, Atlanta, Georgia, USA
  • 3. Department of Pathology, University of Chicago Medicine, Illinois, USA
  • 4. Center for Health and The Social Sciences, University of Chicago Medicine, Illinois, USA
*Correspondence to [email protected]
Disclosure:

The authors have declared no conflicts of interest.

Citation:
Microbiol Infect Dis AMJ. ;3:47-49. https://doi.org/10.33590/microbiolinfectdisam/ZUHW4840.
Keywords:
Mycoplasma pneumoniae (MP), pneumonia, respiratory illness.

Each article is made available under the terms of the Creative Commons Attribution-Non Commercial 4.0 License.

BACKGROUND AND AIMS

Mycoplasma pneumoniae (MP) causes approximately two million infections in the USA,1 with increasing rates reported globally in the past few years.2-4 Rates in children have increased from 1.0 to 7.2% among those aged 2–4 years, and from 3.6 to 7.4% in those aged 5–17 years.1 In Illinois, USA, MP rates are about 5.1%, which is higher than rates of respiratory syncytial virus, influenza, or COVID-19.3 While MP usually presents as ‘walking pneumonia’ in school-aged children, there have been increases in extrapulmonary manifestations. The authors propose a severity scoring system for MP based off of the Westley Croup Score (WCS) and Phoenix Sepsis Criteria (PSC).5 Both have assessments of neurologic status. The WCS assesses degrees of respiratory distress, while the PSC assesses vitals and state of inflammation.

MATERIALS AND METHODS

To examine temporal trends in pediatric MP positivity rates, the authors aggregated counts, the total number of pediatric respiratory panel tests (PCR) ordered by year, and the count of positive MP results. Rates of MP positives per 1,000 tests were modeled using Poisson regression with the log of the number of respiratory panel tests included as an offset to adjust for variation in testing volume. Similar analyses describing time trends in MP hospitalization were not possible due to the infrequency of this event.

To identify factors associated with risk of being hospitalized for MP, the authors identified positive cases of MP in the electronic health record and conducted a chart review identifying demographics (sex, race, ethnicity, age), clinical findings (platelets, O2 requirements, respiratory distress defined as difficulty breathing, presence of retractions, tracheal tugging, head bobbing or grunting on physical exam, skin findings, and mental state), and year of infection. The authors used Chi-squared tests for categorical variables and t-tests for continuous variables. Factors significant on univariate analyses were included in multivariate analyses.

Statistical significance was defined as p<0.05. All analyses were conducted in R version 4.3.2.

RESULTS

The number of respiratory panels ordered, the number of MP cases, and the number of hospitalized MP cases all increased over the study period, though MP cases remained a small proportion of overall respiratory panels, peaking at 1.1% in 2024 (Table 1). At the start of the study period, the rate of positive MP cases was approximately 1.3 per 1,000 respiratory panel tests. Over time, the rate increased by about 6.5% per year (incidence rate ratio: 1.065; 95% CI: 1.014–1.120), after adjusting for testing volume.

Table 1: Population characteristics pre- (2012–2019) and post- (2020–2024) COVID-19 pandemic.
Bolded p values indicate statistical significance (p<0.05).
BiPAP: bilevel positive airway pressure; IQR: interquartile range; NIPPV: non-invasive positive-pressure ventilation.

On univariate analysis, younger age, Black race, O2 requirements, respiratory support, altered mental state, and time-period (both pre- and post-COVID-19 pandemic and all other years versus 2024) were statistically significantly associated with greater odds of hospitalization. In multivariate analysis, Black race, respiratory distress, and time-period (both pre- and post-COVID-19 pandemic and all other years versus 2024) remained statistically significantly associated with greater odds of hospitalization.

CONCLUSION

Age, respiratory support, and altered mental status were all statistically significant predictors of MP severity. Younger, minority patients were more likely to be admitted. 2024 showed a statistically significant increase in both the number and severity of MP cases. More surveillance is needed in the USA to determine how prevalent and severe MP is in the pediatric population now and in the future.

References
Centers for Disease Control and Prevention (CDC). Mycoplasma pneumoniae infections have been increasing. 2024. Available at: https://www.cdc.gov/ncird/whats-new/mycoplasma-pneumoniae-infections-have-been-increasing.html. Last accessed: 17 October 2025. Bolluyt DC et al. Increased incidence of Mycoplasma pneumoniae infections and hospital admissions in the Netherlands, November to December 2023. Euro Surveill. 2024;29(4):2300724. Urbieta AD et al. Mycoplasma pneumoniae at the rise not only in China: rapid increase of Mycoplasma pneumoniae cases also in Spain. Emerg Microbes Infect. 2024;13(1):2332680. Yan C et al. Current status of Mycoplasma pneumoniae infection in China. World J Pediatr. 2024;20(1):1-4. Kelly K et al. Development of a severity scoring system for Mycoplasma pneumoniae infection. Poster P-652. IDWeek, October 19-22, 2025.

Rate this content's potential impact on patient outcomes

Average rating / 5. Vote count:

No votes so far! Be the first to rate this content.