Abstract
Emergence of macrolide-resistant Mycoplasma pneumoniae (MRMp) challenges empiric macrolide therapy. Our goal was to determine MRMp rates and define characteristics of children infected with macrolide-sensitive M. pneumoniae (MSMp) versus MRMp in Ohio, USA. We cultured PCR-positive M. pneumoniae specimens and sequenced M. pneumoniae–positive cultures to detect macrolide resistance mutations. We reviewed medical records to compare characteristics of both groups. We identified 14 (2.8%) MRMp and 485 (97.2%) MSMp samples. Patients in these groups had similar demographics and clinical characteristics, but patients with MRMp had longer hospitalizations, were more likely to have received previous macrolides, and were more likely to have switched to alternative antimicrobial drugs. MRMp-infected patients also had ≈5-fold greater odds of pediatric intensive care unit admission. Rates of MRMp infections in children in central Ohio are low, but clinicians should remain aware of the risk for severe illness caused by these pathogens.
Keywords: Mycoplasma pneumoniae, macrolide sensitivity, macrolide resistance, molecular detection, children, disease severity, community-acquired pneumonia, bacteria, Ohio, United States, antimicrobial resistance, respiratory infections, pneumonia
Mycoplasma pneumoniae is a major pathogen that accounts for up to 40% of the total number of community-acquired pneumonias (CAPs) in children and up to 19% of the pediatric CAPs that require hospitalization (1,2), yet those numbers might not reflect its actual clinical impact because testing for M. pneumoniae is not performed routinely. M. pneumoniae infection has a wide range of manifestations, from asymptomatic infection to severe pneumonia requiring admission to the intensive care unit (3,4). Because it lacks a cell wall, M. pneumoniae is not susceptible to β-lactam antimicrobial drugs, which are first-line therapy for CAP in children (5).
Macrolides are considered the antimicrobial drugs of choice for the treatment of M. pneumoniae infections in children (5); however, in the past few decades, macrolide-resistant M. pneumoniae (MRMp) has emerged. Rates of resistance are highest in Asia, as high as 100%, and reported rates in the United States vary from 3.5% to 13.2% (3,6–13). No published data are available from Ohio, where we conducted our study.
Macrolide resistance is conveyed by single base mutations in the V region of 23S rRNA, which codes for the binding site of macrolides in the M. pneumoniae ribosome. The most common mutations include the change of A to C/G/T at location A2063 or at location A2064 (14,15). These are the 2 mutations associated with macrolide resistance that have been reported in the United States (3,6).
M. pneumoniae is a slow-growing, fastidious organism, making routine culture and phenotypic antimicrobial drug sensitivity testing impractical for clinical use and limiting the use of these techniques mainly to research purposes. Since molecular assays were developed, diagnosis of M. pneumoniae infections has shifted from serology to molecular detection using PCR, resulting in improved sensitivity and specificity. However, even with molecular detection, most clinicians have no information regarding antimicrobial sensitivity of M. pneumoniae. Therefore, as in many other settings, we currently have no data on local rates of MRMp, and most children diagnosed with M. pneumoniae infection are treated initially with macrolides. If clinical concerns for macrolide resistance occur while children are receiving therapy, clinicians sometimes choose to switch antimicrobial therapy to another agent, although there are no established clinical parameters or guidelines concerning when to consider potential resistance to macrolide antimicrobial drugs.
Studies, emerging mainly from Asia, have reported increased disease severity in adults and children infected with MRMp. More consistently, studies have demonstrated longer duration of fever in patients infected with MRMp and longer duration of hospitalization. Other studies have reported more frequent pulmonary complications and the need for changing antimicrobial drug therapy (16–19). Chen et al. recently published a meta-analysis further consolidating the evidence for longer duration of fever and hospitalization in patients with MRMp, but no differences were reported in clinical presentation, laboratory results, or chest radiograph findings (20). Data about MRMp infection in children in the United States remain limited.
The primary objective of this study was to determine the rate of MRMp infections in children in central Ohio, USA. Our second objective was to examine the clinical characteristics, antimicrobial drug treatment, and outcomes in this cohort; to identify potential differences between patients infected with macrolide-sensitive M. pneumoniae (MSMp) and those infected with MRMp; and to determine whether infection with MRMp was associated with worse clinical outcomes than infection with MSMp.
Methods
Study Samples
We collected a retrospective convenience sample from standard-of-care clinical samples with orders for M. pneumoniae molecular testing performed either using an in-house laboratory-developed PCR for M. pneumoniae (21) or the PCR for M. pneumoniae included as part of a multiplex PCR panel for respiratory pathogens (BioFire FilmArray Respiratory Panel version 1.7; BioFire, https://www.biofiredx.com). We identified samples positive for M. pneumoniae and having adequate remnant volume for further analysis using the laboratory database for October 2015–January 2019. The samples consisted of nasopharyngeal or throat swab specimens collected in M4 transport media.
Mycoplasma Culture
We stored samples at 4°C pending PCR results. We cultured the samples that tested positive for M. pneumoniae within 48 hours of collection in SP4 glucose broth (Remel, http://www.remel.com) and incubated them at 35°C until isolates grew, or for a maximum of 4 weeks for a negative culture, according to standard procedures (22). Culture positivity was identified by color change of the broth and later confirmed by our laboratory-developed M. pneumoniae PCR in a subset of patients. We discarded samples displaying bacterial contamination (detected by cloudy or yellow color change).
Sequencing for Macrolide Resistance Detection
We amplified domain V of the 23S-rRNA (nt 1937–2154; reference strain GenBank accession no. X68422) (23) from all positive M. pneumoniae cultures, where both point mutations that convey macrolide resistance described in the United States are located. We performed Sanger sequencing on the PCR products and compared the sequences with the corresponding region of the wild-type reference strain (ATCC 15322). We sent 2 de-identified samples to a reference laboratory (Mycoplasma Laboratory, University of Alabama at Birmingham, Birmingham, AL, USA) for phenotypic sensitivity testing to assess the effect of a novel mutation (A2065Δ).
Clinical and Treatment Characteristics
We reviewed electronic medical records from all patients with sequenced samples. We collected demographic characteristics, including age, gender, race, patient location, any previous medical encounter during illness, and vaccination status, for each patient. We also collected clinical data such as symptoms at the first medical encounter, including fever, cough, rhinorrhea, rash, and central nervous system manifestations. We recorded all diagnostic testing associated with the medical encounter, including chest radiographs and laboratory testing (blood cultures, complete blood counts, other viral testing) and medical interventions, mainly with regard to antimicrobial drug treatment. This study was approved by the Nationwide Children’s Hospital Institutional Review Board (IRB17-01280).
Statistical Analysis
We assessed group comparisons using χ2 or Fisher exact tests for categorical variables and 2-sample t-tests with Satterthwaite corrections for unequal group variance where needed or Wilcoxon rank sum tests for continuous variables. We used multivariable logistic regression to evaluate risk factors for binary outcomes (hospital admission, pediatric intensive care unit [PICU] admission, presence of fever, hypoxemia), with a Firth correction for small sample size when warranted. We used negative binomial regression to evaluate risk factors for continuous outcomes (duration of hospitalization, duration of fever); results have been exponentiated to reflect risk ratios. For all multivariable models, when sample size allowed, we ran separate models for the full cohort as well as for the cohort with viral testing, because of the more limited number of patients who received viral testing; results were similar for both cohorts. We ran separate models for collinear covariates and presented the model with the best goodness of fit (based on the Akaike Information Criterion). We based variable selection for all multivariable models on backward stepwise selection, with an entry criterion of p<0.15; we retained resistance in all models regardless of statistical significance because it was the primary risk factor. We used SAS 9.4 (https://www.sas.com) to conduct all analyses.
Results
Detection of Macrolide Resistance Mutations by Sequencing
During October 2015–January 2019, a total of 744 samples identified as M. pneumoniae–positive by PCR were cultured for isolation of M. pneumoniae. Among these, 553 (74.3%) yielded a positive M. pneumoniae culture (Figure).
Figure.
Flowchart for selection of Mycoplasma pneumoniae-positive respiratory samples for macrolide resistance testing and children with available information for analysis of clinical variables in study of children infected with M. pneumoniae, Ohio, USA, 2015–2019.
We performed sequencing on those 553 culture-positive samples and were successful with 499 (90.2%). The sequences of the V domain of the 23rRNA from a total of 485 (97.2%) samples matched that of the wild-type reference strain. We detected mutations associated with macrolide resistance in 14 samples (2.8%); of those, 11 corresponded to the A2063G and 3 to A2064G mutations (Figure). We also identified 3 samples with a deletion on A2065, a locus adjacent to the mutations described to convey macrolide resistance.
Phenotypic Susceptibility Testing
From the 3 samples with the A2065Δ mutation, we were able to regrow only 2 from frozen aliquots and sent them for phenotypic sensitivity testing. Erythromycin, tetracycline, and levofloxacin were the antimicrobial drugs tested. The M. pneumoniae isolates from both samples were sensitive to all 3 drugs according to Clinical and Laboratory Standards Institute guidelines; therefore, this deletion was not found to convey resistance to macrolides (24). For purpose of the rest of the analysis, we included these samples in the MSMp group.
Demographic, Clinical, and Treatment Data
Clinical data were available for 344 (68.9%) of the sequenced samples, including 12/14 (86%) of the MRMp isolates and 332/485 (68.5%) of the MSMp isolates. Both groups of patients had similar demographics, including the presence of concurrent conditions, previous medical encounters, and vaccination status (Table 1). Of the concurrent conditions, asthma was present in 50% of patients. No differences were found in the clinical characteristics at the time of presentation to medical care between both groups, with the exception of maximum temperature among patients who had fever; those in the MRMp group had a lower maximum temperature. Central nervous system manifestations appeared to be more common in the MRMp group; however, this finding was not statistically significant.
Table 1. Patient demographics and clinical characteristics of children infected with macrolide-sensitive and macrolide-resistant strains of Mycoplasma pneumoniae, Ohio, USA, 2015–2019*.
| Characteristic | MRMp, n = 12 | MSMp, n = 332 | p value |
|---|---|---|---|
| Sex | 0.9046 | ||
| M | 7 (55) | 175 (53) | |
| F |
5 (45) |
157 (47) |
|
| Year | 0.6508 | ||
| 2015 | 4 (33) | 146 (44) | |
| 2016 | 1 (8) | 51 (15) | |
| 2017 | 2 (17) | 52 (16) | |
| 2018 | 5 (42) | 73 (22) | |
| 2019 |
0 |
10 (3) |
|
| Age, y, mean (SD) |
9.13 (3.74) |
8.73 (4.62) |
0.7683 |
| Previous visits | |||
| Any previous visits | 8 (67) | 188 (57) | 0.4901 |
| No. previous visits, median (IQR) |
1.5 (1–2) |
1 (1–2) |
0.3491 |
| Underlying conditions | 6 (50) | 139 (42) | 0.5752 |
| Chronic immunosuppression | 1 (8) | 5 (2) | 0.1392 |
| Up to date in vaccines |
12 (100) |
316 (97) |
>0.9999 |
| Inpatient | 6 (50) | 130 (39) | 0.551 |
| Median duration of hospitalization, d (IQR) |
8 (6–10) |
2 (1.5–3) |
0.0132
|
| PICU | 3 (25) | 21 (6) | 0.0433 |
| Median duration of PICU stay, d (IQR) |
2 (1–8) |
2 (1.5–5) |
0.8596 |
| Hypoxemia | 3 (25) | 73 (23) | >0.9999 |
| Median duration of O2 support, d (IQR) | 4 (1–8.5) | 1 (0.5–2) | 0.1302 |
| Mechanical ventilation |
1 (33) |
6 (8) |
0.2487 |
| Median duration of symptoms, d (IQR) |
7 (6.5–13) |
7 (5–10) |
0.3324 |
| Fever | 11 (92) | 271 (81) | 0.7024 |
| Median duration of fever, d (IQR) | 4 (2–7) | 4 (2–7) | 0.984 |
| Median maximum temperature, °C (IQR) |
38.4 (38.1–39.4) |
39.1 (38.4–39.7) |
0.0415
|
| Fatigue | 5 (42) | 91 (27) | 0.3298 |
| Decreased appetite/oral food intake | 4 (33) | 125 (38) | >0.9999 |
| Decreased urine output | 0 | 22 (7) | >0.9999 |
| Cough | 12 (100) | 320 (96) | >0.9999 |
| Shortness of breath/respiratory distress | 5 (42) | 91 (27) | 0.3268 |
| Sore throat | 0 | 67 (20) | 0.1332 |
| CNS manifestation | 2 (17) | 10 (3) | 0.0607 |
| Nausea/vomiting | 1 (8) | 55 (17) | 0.6987 |
| Diarrhea | 1 (8) | 30 (9) | >0.9999 |
| Rash | 0 | 25 (7.5) | >0.9999 |
*Values are no. (%) except as indicated. Bold type indicates statistical significance. CNS, central nervous system; IQR, interquartile range; MRMp, macrolide-resistant Mycoplasma pneumoniae; MSMp, macrolide-sensitive Mycoplasma pneumoniae; PICU, pediatric intensive care unit.
Among patients for whom chest radiographs were obtained (12 in the MRMp group and 264 in the MSMp group), most of their radiographs were abnormal (100% of MRMp and 95% of MSMp) (Table 2). Of the 344 patients with clinical data, 91 received their diagnoses by multiplex PCR panel alone, 168 by in-house M. pneumoniae PCR alone, and 85 with both. Therefore, viral testing was available in the subset of 176 patients in the cohort tested using the multiplex panel: 10 (83%) patients with MRMp and 166 (50%) patients with MSMp. Viruses identified included rhinovirus/enterovirus, adenovirus, respiratory syncytial virus, coronavirus, influenza B, and parainfluenza types 2 and 3. Although co-detection of viruses was more common in the MSMp group, this difference was not statistically significant. No bacterial co-infections were detected (Table 2).
Table 2. Respiratory examination, chest radiograph findings, and results of viral testing in children infected with Mycoplasma pneumoniae, Ohio, USA, 2015–2019*.
| Test | MRMp, n = 12 | MSMp, n = 332 | p value |
|---|---|---|---|
| Respiratory examination | |||
| Abnormal | 9 (75) | 214 (64) | 0.5513 |
| Crackles | 3 (25) | 96 (45) | 0.7344 |
| Rales | 1 (11) | 25 (12) | >0.9999 |
| Rhonchi | 1 (11) | 23 (11) | >0.999 |
| Decreased breath sounds | 5 (56) | 104 (49) | 0.7441 |
| Wheezing |
1 (11) |
51 (24) |
0.6888 |
| Chest radiograph findings | n = 12 | n = 261 | >0.9999 |
| Abnormal | 12 (100) | 243 (93.1) | |
| Focal consolidation | 3 (25) | 170 (65.1) | |
| Multifocal consolidation | 4 (33) | 41 (15.7) | |
| Peribronchial thickening | 2 (17) | 45 (17.2) | |
| Atelectasis | 0 | 8 (3.1) | |
| Pleural effusion |
1 (11) |
39 (14.9) |
|
| Viral testing done by multiplex PCR | 10 (83.3) | 166 (50) | 0.4086 |
| M. pneumoniae alone | 9 (90) | 118 (71) | |
| M. pneumoniae + 1 virus | 1 (10) | 37 (22) | |
| M. pneumoniae + >2 viruses | 0 | 11 (7) |
*Values are no. (%) except as indicated. MRMp, macrolide-resistant Mycoplasma pneumoniae; MSMp, macrolide-sensitive Mycoplasma pneumoniae
Macrolide resistance was not significantly associated with duration of fever in univariate (relative risk [RR] 0.99, 95% CI 0.66–1.46) or multivariable (adjusted RR [aRR] 0.93, 95% CI 0.66–1.30) analysis. However, older age (aRR 1.02 [95% CI 1.0–1.03]) per 1 year increase in age), previous medical visit (aRR = 1.71, 95% CI 1.44–2.04), and previous antimicrobial drug treatment (aRR 1.21, 95% CI 1.03–1.42) were significantly associated with longer duration of fever.
When we evaluated outcomes related to disease severity, MRMp infection was not a risk factor for hospitalization. In multivariable analyses, younger age, presence of concurrent conditions, previous medical encounters, presence of abnormal respiratory examination, and preceding therapy with a nonmacrolide antimicrobial drug were significantly associated with increased odds for hospitalization (Table 3). Among the subset of patients who had viral testing performed, positive viral co-detection was associated with significantly lower odds of hospitalization. We also examined for variables associated with duration of hospitalization and found that, in univariate analysis, patients infected with MRMp strains had significantly longer duration of hospitalization than those infected with MSMp (Table 4); no other study variables were significantly associated with duration of hospitalization.
Table 3. Risk factors for hospital admission in children infected with Mycoplasma pneumoniae, Ohio, USA, 2015–2019*.
| Risk factor | Univariate analysis |
Multivariable analysis |
||||
|---|---|---|---|---|---|---|
| OR (95% CI) | p value | aOR (95% CI) |
p value | |||
| Female sex | 0.99 (0.64–1.53) | 0.9599 | ||||
| Age, y | 0.96 (0.92–1.01) | 0.1125 | 0.928 (0.877–0.982) | 0.0096 | ||
| Underlying condition | 3.47 (2.21–5.46) | <0.0001 | 4.234 (2.506–7.155) | <0.0001 | ||
| Any previous visit | 3.6 (2.24–5.78) | <0.0001 | 2.094 (1.131–3.877) | 0.0188 | ||
| Macrolide resistance | 1.55 (0.49–4.92) | 0.4547 | 1.171 (0.324–4.231) | 0.8094 | ||
| Abnormal respiratory examination | 4.31 (2.55–7.26) | <0.0001 | 4.063 (2.291–7.204) | <0.0001 | ||
| Previous treatment with antimicrobial drugs | 3.03 (1.9–4.83) | <0.0001 | 2.606 (1.377–4.934) | 0.0033 | ||
| Previous nonmacrolide antimicrobial drugs | 2.85 (1.78–4.56) | <0.0001 | ||||
| Positive viral test | 0.24 (0.08–0.68) | 0.0071 | ||||
| MRMp and positive viral test | 0.23 (0.04–1.44) | 0.1166 | ||||
*Bold type indicates statistical significance. aOR, adjusted OR; MRMp: macrolide-resistant Mycoplasma pneumoniae; OR, odds ratio.
Table 4. Risk factors for longer duration of hospitalization in children hospitalized with Mycoplasma pneumoniae infection, Ohio, USA, 2015–2019*.
| Risk factor | Univariate analysis |
Multivariable analysis |
|||
|---|---|---|---|---|---|
| RR (95% CI) | p value | aRR (95% CI) | p value | ||
| Female sex | 0.85 (0.63–1.15) | 0.2852 | |||
| Age, y | 0.98 (0.95–1.01) | 0.2213 | |||
| Underlying condition | 1.25 (0.92–1.71) | 0.1592 | |||
| Any previous visit | 0.83 (0.58–1.16) | 0.2734 | |||
| Macrolide resistance | 2.91 (1.56–5.44) | 0.0008 | 2.04 (0.97–4.32) | 0.061 | |
| Abnormal respiratory examination | 1.14 (0.77–1.7) | 0.5103 | |||
| Previous treatment with antimicrobial drugs | 0.94 (0.69–1.27) | 0.6882 | |||
| Previous nonmacrolide antimicrobial drugs | 0.97 (0.71–1.31) | 0.8204 | |||
| Positive viral test | 0.96 (0.69–1.34) | 0.8122 | |||
| MRMp and positive viral test | 1.67 (0.51–5.44) | 0.3946 | |||
*Bold type indicates statistical significance. aRR, adjusted RR; MRMp, macrolide-resistant Mycoplasma pneumoniae; RR, relative risk.
A total of 24 (7% of the cohort, 17.6% of hospitalizations) patients required PICU admission, the majority (n = 21, 87.5%) because of escalated respiratory support; 5 required invasive ventilation, 1 a Venturi mask, and 13 bilevel positive airway pressure. Two patients were admitted because of concerns of severe sepsis, and 1 because of altered mental status. Macrolide resistance was significantly associated with PICU admission (univariate odds ratio [OR] 5.34, 95% CI 1.39–20.55), as was the presence of concurrent conditions, any previous medical visits, abnormal respiratory exam, and previous therapy with a nonmacrolide antimicrobial drug (Table 5). Although too few patients were admitted to the PICU to enable us to perform a comprehensive multivariable analysis, we found that macrolide resistance remained significantly associated with odds of PICU admission after adjusting one at a time for the presence of concurrent conditions, any previous medical visits, abnormal respiratory examination, and previous therapy with a nonmacrolide antimicrobial drug (adjusted OR [aOR] for macrolide resistance 4.9–5.1; Table 6). Presence of macrolide resistance was not associated with increased risk for hypoxemia when adjusted for other factors. Only the presence of concurrent conditions (aOR 3.45; p<0.0001) and any previous medical visits (aOR 2.35; p = 0.0151) were significant risks for hypoxemia and oxygen requirement (Table 7).
Table 5. Risk factors for pediatric intensive care unit admission in children infected with Mycoplasma pneumoniae, Ohio, USA, 2015–2019*.
| Risk factor |
Univariate analysis |
|
|---|---|---|
| OR (95% CI) |
p value |
|
| Female sex | 1.13 (0.5–2.55) | 0.7754 |
| Age, y | 0.98 (0.9–1.08) | 0.7206 |
| Underlying condition | 4.32 (1.72–10.88) | 0.0019 |
| Any previous visit | 3.73 (1.31–10.62) | 0.0138 |
| Macrolide resistance | 5.34 (1.39–20.55) | 0.015 |
| Abnormal respiratory examination | 5.34 (1.41–20.21) | 0.0137 |
| Previous treatment with antimicrobial drugs | 3.17 (1.38–7.27) | 0.0066 |
| Previous nonmacrolide antimicrobial drugs | 2.81 (1.23–6.42) | 0.014 |
| Positive viral test | 0.79 (0.31–2.01) | 0.6127 |
| MRMp and positive viral test | 2.11 (0.27–16.71) | 0.4805 |
*Bold type indicates statistical significance. MRMp, macrolide-resistant Mycoplasma pneumoniae; OR, odds ratio.
Table 6. Multivariable models for assessing adjusted risk factors for pediatric intensive care unit admission in children infected with Mycoplasma pneumoniae, Ohio, USA, 2015–2019*.
| Model | aOR (95% CI) | p value |
|---|---|---|
| Model 1 | ||
| Macrolide resistance | 5.111 (1.248–20.926) | 0.0233 |
| Underlying conditions |
4.238 (1.68–10.694) |
0.002
|
| Model 2 | ||
| Macrolide resistance | 4.964 (1.247–19.762) | 0.023 |
| Any previous visits |
3.625 (1.273–10.323) |
0.0159
|
| Model 3 | ||
| Macrolide resistance | 4.895 (1.227–19.532) | 0.0245 |
| Abnormal respiratory exam |
5.164 (1.37–19.461) |
0.0153
|
| Model 4 | ||
| Macrolide resistance | 4.969 (1.241–19.906) | 0.0235 |
| Any previous antimicrobial drugs |
3.076 (1.332–7.101) |
0.0085
|
| Model 5 | ||
| Macrolide resistance | 4.911 (1.237–19.499) | 0.0237 |
| Any previous nonmacrolide antimicrobial drugs | 2.717 (1.184–6.234) | 0.0183 |
*Bold type indicates statistical significance. aOR, adjusted odds ratio.
Table 7. Risk factors for hypoxemia in children infected with Mycoplasma pneumoniae, Ohio, USA, 2015–2019*.
| Characteristic | Univariate analysis |
Multivariable analysis |
|||
|---|---|---|---|---|---|
| OR (95% CI) | p value | aOR (95% CI) | p value | ||
| Female sex | 1.117 (0.68–1.85) | 0.6645 | |||
| Age, y | 0.964 (0.91–1.02) | 0.194 | |||
| Underlying conditions | 3.279 (1.94–5.54) | <0.0001 | 3.46 (2–5.98) | <0.0001 | |
| Any previous visit | 3.202 (1.8–5.69) | <0.0001 | 1.77 (0.94–3.33) | 0.0796 | |
| Macrolide resistance | 1.236 (0.34–4.54) | 0.75 | 0.91 (0.22–3.72) | 0.8965 | |
| Abnormal respiratory examination | 25.288 (6.98–91.64) | <0.0001 | |||
| Previous treatment with antimicrobial drugs | 2.43 (1.45–4.07) | 0.0007 | 2.35 (1.18–4.68) | 0.0151 | |
| Previous nonmacrolide antimicrobial drugs | 2.129 (1.27–3.58) | 0.0043 | |||
| Positive viral test | 0.902 (0.46–1.79) | 0.7683 | |||
| MRMp and viral positive | 0.957 (0.16–5.81) | 0.9618 | |||
*Bold type indicates statistical significance. aOR, adjusted odds ratio; MRMp: macrolide-resistant Mycoplasma pneumoniae; OR, odds ratio.
Antimicrobial Drug Treatment
The number of patients with previous antimicrobial drug prescriptions was similar in both groups (41.7% MRMp, 31.9% MSMp; p = 0.53), with a median duration of 3 days (interquartile range [IQR] 2.5–5.7) for MRMp and 4 days (IQR 2–6) for MSMp (p>0.99). Most (96%) of these were antimicrobial drugs not expected to treat M. pneumoniae infection. Median time of prescription was on day 5 of illness (IQR 3–9). Three (25%) patients with MRMp versus 7 (2.1%) with MSMp received therapy with azithromycin before the medical encounter (p = 0.0017). Despite the clinician’s lack of knowledge about presence of macrolide resistance, a larger proportion of patients with MRMp infection (25%) than patients with MSMp infection (4.5%) were treated with levofloxacin as the definitive therapy instead of a macrolide (p = 0.0267) (Table 8).
Table 8. Antimicrobial drug treatment for children infected with Mycoplasma pneumoniae, Ohio, USA, 2015–2019*.
| Characteristic | MRMp, n = 12 | MSMp, n = 332 | p value |
|---|---|---|---|
| Patients with previous antimicrobial drug treatment, no. (%) | 5 (42) | 106 (32) | 0.5339 |
| Nonmacrolide | 5 (42) | 102 (31) | 0.5262 |
| Macrolide |
3 (25) |
7 (2.1) |
0.0017
|
| Definitive treatment during medical encounter, no. (%) | |||
| Azithromycin | 9 (75) | 317 (95.5) | 0.0197 |
| Levofloxacin | 3 (25) | 15 (4.5) | 0.0267 |
*Bold type indicates statistical significance. MRMp, macrolide-resistant Mycoplasma pneumoniae; MSMp, macrolide-sensitive Mycoplasma pneumoniae.
Discussion
Macrolide-resistant M. pneumoniae infections are becoming more relevant as pathogen-specific testing is increasing and reports of resistance to macrolides are becoming more widespread throughout the world. Resistance rates vary, but the highest reported resistance rates are from countries in Asia, as high as 100% (3,12). Lower rates have been reported in Europe and South America; few data are available from the United States (3,13). In today’s globalized world, spread of resistant organisms is common and thus a major concern. Unlike for other bacteria, no cumulative data such as antibiograms are routinely available to help guide empiric therapy for M. pneumoniae. Because of Mycoplasma’s unique slow growth characteristics and lack of availability of phenotypic susceptibility testing, antimicrobial drug treatment is routinely initiated without any knowledge of macrolide resistance rates.
The ready availability of specific molecular testing for M. pneumoniae at Nationwide Children’s Hospital enable us to generate a large convenience sample of patients infected with M. pneumoniae for this study. Our data demonstrated a low rate of MRMp of 2.8%. Although this rate of resistance is lower than those previously described in other studies (6–10), the difference is likely related to differences in study design. In our study, because of the widespread and routine use of testing for M. pneumoniae infections in our institution and affiliated urgent care centers, we were able to include a larger sample size of nonselected patients. The resistance mutations detected in our population are similar to others reported worldwide and confirmed that the A2063G mutation was the most commonly found (8,10,16,25,26). Although it is a novel mutation, a deletion on A2065Δ was detected in 3 isolates, but it did not confer phenotypic resistance to macrolides.
Although children infected with M. pneumoniae can have a mild course of disease, some develop severe disease, requiring hospitalization (1,3,7). The presence of mutations associated with macrolide resistance did not affect the need for hospitalization in our study. In the study cohort, 50% of patients infected with MRMp were managed as outpatients. Our findings confirm those of others in different countries (7,18,27,28) and a recent surveillance study in the United States (10), providing further evidence that children infected with MRMp and MSMp in the United States demonstrated no significant differences in clinical presentation. This finding was also supported in the recent meta-analysis by Chen et al. (20). Taken together, these data point to the challenges that clinicians face when treating patients infected with M. pneumoniae. Because there is no practical way to identify patients infected with MRMp on the basis of clinical findings, most, if not all, are empirically treated with macrolides and some, albeit a small number, receive ineffective treatment.
Our data indicate that among hospitalized patients infected with MRMp, infections may remain unidentified for days and their conditions may worsen while they receive suboptimal therapy, which likely explains the difference in duration of hospitalizations between both groups. Whereas patients infected with MSMp were hospitalized for a median of 2 days, those infected with MRMp had a median of 8 days of hospitalization. These data confirmed similar findings previously described in other countries (16,27,29) but differ from what was found by Waites et al. in a recent surveillance study, in which they did not find any differences in clinical severity between groups (10).
Previous studies have described longer duration of fever in patients infected with MRMp, as well as longer time to defervesce while receiving macrolide therapy, with subsequent quick defervescence when switched to effective therapy (16–18,20,25,29,30). In our pediatric cohort, we found no difference in duration of fever at the first medical encounter. In addition, we found that patients infected with MRMp had lower maximum temperatures, which differs from 2 studies from China that described higher fevers in pediatric patients infected with MRMp (30,31). Because of the retrospective design of our study, we were not able to compare the duration of fever while patients were receiving therapy because most hospitalized patients with MSMp were discharged while still febrile, and a large portion of our cohort was managed as outpatients. Despite this limitation, we documented that patients infected with MRMp were still symptomatic and seeking medical attention while already being treated with macrolides at higher rates when compared with patients infected with MSMp. Likewise, we observed that patients with MRMp infection were more likely to be treated with levofloxacin as an alternative/second-line therapy, which agrees with other reports (10,17,18,29). It is crucial to note that several studies mentioned that eventually these patients with MRMp became afebrile, even if they were still receiving macrolide therapy; however, their duration of illness and subsequent hospitalization were longer (32). Also, we documented that 196 (57%) patients in our cohort had >1 previous medical visit, and 111 (25.6%) received prescriptions for antimicrobial drugs during their visit. Most of those antimicrobial drugs (96%) did not target mycoplasma infections. None of those patients were tested for M. pneumoniae infection during this initial encounter, thus contributing to the lack of targeted therapy.
Emerging literature, mainly from Asia, reports that, in addition to longer duration of hospitalization, more severe disease and more complications have been observed in MRMp infected patients. Those studies described more common pleural effusions, worse lung infiltrates, extrapulmonary complications, increased oxygen requirement, and increased need for ICU admission (16,33,34). These findings, however, were not documented in our study, nor in the meta-analysis by Chen et al. (20). Even so, in our cohort we observed that patients with MRMp had 4- to 5-fold greater odds for PICU admission, after adjusting for other factors.
The use of a respiratory panel PCR in 176 (51%) patients in the cohort provided additional information for evaluating the interactions between M. pneumoniae and viral infections; previous studies on MRMp infections have not analyzed these interactions. The univariate analysis showed that among patients with MRMp infections, viral co-detection was more frequent in those who were not hospitalized. At this point we have no clear explanation for this finding.
Our study’s first limitations are that it was performed at a single center and was retrospective. The resistance rates we found were based only on patients who sought medical care, which could lead to a potential bias in our MRMp rate, because not all patients with M. pneumoniae infection may need medical attention. From the laboratory perspective, 54 (9.8%) samples that were culture positive were unable to be sequenced. We did not confirm all cultures by M. pneumoniae PCR, so it is possible that the culture result was falsely positive. In addition, culture positivity was determined by a color change in the culture medium. Therefore, the presence of any microbial growth could cause color change and be misinterpreted and falsely called M. pneumoniae positive, which could be the reason that they failed sequencing. Furthermore, because of the study design, in which we started with the M. pneumoniae–positive samples available in the laboratory, no clinical data were available in ≈50% of the samples analyzed. Despite these limitations, we included clinical information from 344 children infected with M. pneumoniae, which represents one of the largest contemporary pediatric cohorts published in the United States. Finally, we did not attempt to genotype our isolates of M. pneumoniae. Others have reported some association between emerging p1 gene types and increased macrolide resistance (35).
Our study was not designed to address the indications for testing for M. pneumoniae in children with CAP, whether detection of M. pneumoniae in the upper respiratory tract indicates active infection, or whether antimicrobial drug therapy offers a clear benefit to all patients with M. pneumoniae infections. Despite the limitations of the retrospective design, our study showed that lack of specific testing for M. pneumoniae frequently led to empiric therapy with noneffective antimicrobial drugs and that children hospitalized with MRMp infections had a more prolonged clinical course until they were switched to appropriate therapy, suggesting that antimicrobial drug therapy did modify the course of the disease. Large, prospective, multicenter studies are needed to address these key questions to optimize the management of these frequent infections among the pediatric population.
In summary, the rate of MRMp infections in pediatric patients in central Ohio is low (2.8%). Despite this low rate, children hospitalized with MRMp infections had worse clinical outcomes, defined by longer duration of hospitalization and higher odds of PICU admission, than those with infected with MSMp. Although prevalence is low, clinicians should be aware of the possibility of MRMp infection, particularly in patients who do not show clinical improvement while on macrolide therapy.
Biography
Dr. Lanata is an assistant professor at Marshall University in Huntington, West Virginia. Her main research interest is in antimicrobial stewardship.
Footnotes
Suggested citation for this article: Lanata MM, Wang H, Everhart K, Moore-Clingenpeel M, Ramilo O, Leber A. Macrolide-resistant Mycloplasma pneumoniae infections in children, Ohio, USA. Emerg Infect Dis. 2021 Jun [date cited]. https://doi.org/10.3201/eid2706.203206
Current affiliation: Marshall University, Huntington, West Virginia, USA.
References
- 1.Waites KB, Talkington DF. Mycoplasma pneumoniae and its role as a human pathogen. Clin Microbiol Rev. 2004;17:697–728. 10.1128/CMR.17.4.697-728.2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Jain S, Williams DJ, Arnold SR, Ampofo K, Bramley AM, Reed C, et al. ; CDC EPIC Study Team. Community-acquired pneumonia requiring hospitalization among U.S. children. N Engl J Med. 2015;372:835–45. 10.1056/NEJMoa1405870 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Waites KB, Xiao L, Liu Y, Balish MF, Atkinson TP. Mycoplasma pneumoniae from the respiratory tract and beyond. Clin Microbiol Rev. 2017;30:747–809. 10.1128/CMR.00114-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Brown RJ, Nguipdop-Djomo P, Zhao H, Stanford E, Spiller OB, Chalker VJ. Mycoplasma pneumoniae epidemiology in England and Wales: a national perspective. Front Microbiol. 2016;7:157. 10.3389/fmicb.2016.00157 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Bradley JS, Byington CL, Shah SS, Alverson B, Carter ER, Harrison C, et al. ; Pediatric Infectious Diseases Society and the Infectious Diseases Society of America. The management of community-acquired pneumonia in infants and children older than 3 months of age: clinical practice guidelines by the Pediatric Infectious Diseases Society and the Infectious Diseases Society of America. Clin Infect Dis. 2011;53:e25–76. 10.1093/cid/cir531 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Pereyre S, Goret J, Bébéar C. Mycoplasma pneumoniae: current knowledge on macrolide resistance and treatment. Front Microbiol. 2016;7:974. 10.3389/fmicb.2016.00974 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Diaz MH, Benitez AJ, Cross KE, Hicks LA, Kutty P, Bramley AM, et al. molecular detection and characterization of Mycoplasma pneumoniae among patients hospitalized with community-acquired pneumonia in the United States. Open Forum Infect Dis. 2015;2:ofv106. 10.1093/ofid/ofv106 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Zheng X, Lee S, Selvarangan R, Qin X, Tang YW, Stiles J, et al. Macrolide-resistant Mycoplasma pneumoniae, United States. Emerg Infect Dis. 2015;21:1470–2. 10.3201/eid2108.150273 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Diaz MH, Benitez AJ, Winchell JM. Investigations of Mycoplasma pneumoniae infections in the United States: trends in molecular typing and macrolide resistance from 2006 to 2013. J Clin Microbiol. 2015;53:124–30. 10.1128/JCM.02597-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Waites KB, Ratliff A, Crabb DM, Xiao L, Qin X, Selvarangan R, et al. Macrolide-resistant Mycoplasma pneumoniae in the United States as determined from a national surveillance program. J Clin Microbiol. 2019;57:e00968-19. 10.1128/JCM.00968-19 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Yamada M, Buller R, Bledsoe S, Storch GA. Rising rates of macrolide-resistant Mycoplasma pneumoniae in the central United States. Pediatr Infect Dis J. 2012;31:409–11. 10.1097/INF.0b013e318247f3e0 [DOI] [PubMed] [Google Scholar]
- 12.Zhou Z, Li X, Chen X, Luo F, Pan C, Zheng X, et al. Macrolide-resistant Mycoplasma pneumoniae in adults in Zhejiang, China. Antimicrob Agents Chemother. 2015;59:1048–51. 10.1128/AAC.04308-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Xiao L, Ratliff AE, Crabb DM, Mixon E, Qin X, Selvarangan R, et al. molecular characterization of Mycoplasma pneumoniae isolates in the United States from 2012 to 2018. J Clin Microbiol. 2020;58:e00710-20. 10.1128/JCM.00710-20 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Matsuoka M, Narita M, Okazaki N, Ohya H, Yamazaki T, Ouchi K, et al. Characterization and molecular analysis of macrolide-resistant Mycoplasma pneumoniae clinical isolates obtained in Japan. Antimicrob Agents Chemother. 2004;48:4624–30. 10.1128/AAC.48.12.4624-4630.2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Bébéar C, Pereyre S, Peuchant O. Mycoplasma pneumoniae: susceptibility and resistance to antibiotics. Future Microbiol. 2011;6:423–31. 10.2217/fmb.11.18 [DOI] [PubMed] [Google Scholar]
- 16.Zhou Y, Zhang Y, Sheng Y, Zhang L, Shen Z, Chen Z. More complications occur in macrolide-resistant than in macrolide-sensitive Mycoplasma pneumoniae pneumonia. Antimicrob Agents Chemother. 2014;58:1034–8. 10.1128/AAC.01806-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Suzuki S, Yamazaki T, Narita M, Okazaki N, Suzuki I, Andoh T, et al. Clinical evaluation of macrolide-resistant Mycoplasma pneumoniae. Antimicrob Agents Chemother. 2006;50:709–12. 10.1128/AAC.50.2.709-712.2006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Cardinale F, Chironna M, Chinellato I, Principi N, Esposito S. Clinical relevance of Mycoplasma pneumoniae macrolide resistance in children. J Clin Microbiol. 2013;51:723–4. 10.1128/JCM.02840-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Kawai Y, Miyashita N, Kubo M, Akaike H, Kato A, Nishizawa Y, et al. Therapeutic efficacy of macrolides, minocycline, and tosufloxacin against macrolide-resistant Mycoplasma pneumoniae pneumonia in pediatric patients. Antimicrob Agents Chemother. 2013;57:2252–8. 10.1128/AAC.00048-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Chen YC, Hsu WY, Chang TH. Macrolide-resistant Mycoplasma pneumoniae infections in pediatric community-acquired pneumonia. Emerg Infect Dis. 2020;26:1382–91. 10.3201/eid2607.200017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Hardegger D, Nadal D, Bossart W, Altwegg M, Dutly F. Rapid detection of Mycoplasma pneumoniae in clinical samples by real-time PCR. J Microbiol Methods. 2000;41:45–51. 10.1016/S0167-7012(00)00135-4 [DOI] [PubMed] [Google Scholar]
- 22.Leber AL, editor. Clinical Microbiology Procedures Handbook, 4th ed. Washington (DC): ASM Press; 2016. [Google Scholar]
- 23.Wolff BJ, Thacker WL, Schwartz SB, Winchell JM. Detection of macrolide resistance in Mycoplasma pneumoniae by real-time PCR and high-resolution melt analysis. Antimicrob Agents Chemother. 2008;52:3542–9. 10.1128/AAC.00582-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Clinical and Laboratory Standards Institute. Methods for antimicrobial susceptibility testing for human mycoplasmas (M43-Al). Annapolis Junction (MD): The Institute; 2011. [PubMed] [Google Scholar]
- 25.Lee E, Cho HJ, Hong SJ, Lee J, Sung H, Yu J. Prevalence and clinical manifestations of macrolide resistant Mycoplasma pneumoniae pneumonia in Korean children. Korean J Pediatr. 2017;60:151–7. 10.3345/kjp.2017.60.5.151 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Nakamura Y, Oishi T, Kaneko K, Kenri T, Tanaka T, Wakabayashi S, et al. Recent acute reduction in macrolide-resistant Mycoplasma pneumoniae infections among Japanese children. J Infect Chemother. 2021;27:271–6. 10.1016/j.jiac.2020.10.007 [DOI] [PubMed] [Google Scholar]
- 27.Wu HM, Wong KS, Huang YC, Lai SH, Tsao KC, Lin YJ, et al. Macrolide-resistant Mycoplasma pneumoniae in children in Taiwan. J Infect Chemother. 2013;19:782–6. 10.1007/s10156-012-0523-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Matsubara K, Okada T, Matsushima T, Komiyama O, Iwata S, Morozumi M, et al. A comparative clinical study of macrolide-sensitive and macrolide-resistant Mycoplasma pneumoniae infections in pediatric patients. J Infect Chemother. 2009;15:380–3. 10.1007/s10156-009-0715-7 [DOI] [PubMed] [Google Scholar]
- 29.Cheong KN, Chiu SS, Chan BW, To KK, Chan EL, Ho PL. Severe macrolide-resistant Mycoplasma pneumoniae pneumonia associated with macrolide failure. J Microbiol Immunol Infect. 2016;49:127–30. 10.1016/j.jmii.2014.11.003 [DOI] [PubMed] [Google Scholar]
- 30.Chen Y, Tian WM, Chen Q, Zhao HY, Huang P, Lin ZQ, et al. Clinical features and treatment of macrolide-resistant Mycoplasma pneumoniae pneumonia in children [in Chinese]. Zhongguo Dang Dai Er Ke Za Zhi. 2018;20:629–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Ma Z, Zheng Y, Deng J, Ma X, Liu H. Characterization of macrolide resistance of Mycoplasma pneumoniae in children in Shenzhen, China. Pediatr Pulmonol. 2014;49:695–700. 10.1002/ppul.22851 [DOI] [PubMed] [Google Scholar]
- 32.Kawai Y, Miyashita N, Yamaguchi T, Saitoh A, Kondoh E, Fujimoto H, et al. Clinical efficacy of macrolide antibiotics against genetically determined macrolide-resistant Mycoplasma pneumoniae pneumonia in paediatric patients. Respirology. 2012;17:354–62. 10.1111/j.1440-1843.2011.02102.x [DOI] [PubMed] [Google Scholar]
- 33.Zhang Y, Zhou Y, Li S, Yang D, Wu X, Chen Z. The clinical characteristics and predictors of refractory Mycoplasma pneumoniae pneumonia in children. PLoS One. 2016;11:e0156465. 10.1371/journal.pone.0156465 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Kim YJ, Shin KS, Lee KH, Kim YR, Choi JH. Clinical characteristics of macrolide-resistant Mycoplasma pneumoniae from children in Jeju. J Korean Med Sci. 2017;32:1642–6. 10.3346/jkms.2017.32.10.1642 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Kenri T, Suzuki M, Sekizuka T, Ohya H, Oda Y, Yamazaki T, et al. Periodic genotype shifts in clinically prevalent Mycoplasma pneumoniae strains in Japan. Front Cell Infect Microbiol. 2020;10:385. 10.3389/fcimb.2020.00385 [DOI] [PMC free article] [PubMed] [Google Scholar]