
==== Front
BMC Infect Dis
BMC Infect Dis
BMC Infectious Diseases
1471-2334
BioMed Central London

39232651
9829
10.1186/s12879-024-09829-5
Research
Clinical profiles of Mycoplasma pneumoniae pneumonia in children with different pleural effusion patterns: a retrospective study
Li Shuxian 1
Zhou Junfen 12
He Jing 1
Yang Dehua 1
Zhu Guohong 1
Tang Lanfang 6195007@zju.edu.cn

1
Chen Zhimin zmchen@zju.edu.cn

1
1 https://ror.org/025fyfd20 grid.411360.1 Department of Pulmonology, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, 3333 Binsheng Road, Hangzhou, Zhejiang 310052 China
2 Department of Pediatrics, Wenling Maternal and Child Health Care Hospital, Wenling, Zhejiang 317500 China
4 9 2024
4 9 2024
2024
24 91912 6 2024
28 8 2024
© The Author(s) 2024
2024
https://creativecommons.org/licenses/by-nc-nd/4.0/ Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
Background

The clinical significance of the presence or absence of Mycoplasma pneumoniae (MP) in pleural effusion in Mycoplasma pneumoniae pneumonia (MPP) children has not yet been elucidated. Herein, we investigated the clinical implication of pleural fluid MP positive in children with MPP.

Methods

A total of 165 MPP children with pleural effusion requiring thoracocentesis were enrolled in this study. They were subsequently divided into two groups according to the presence or absence of MP in pleural effusion, namely positive group (n = 38) and negative group (n = 127). Information on their clinical manifestations, laboratory findings, radiological characteristics and treatment modalities was retrospectively collected from medical chart reviews.

Results

The length of hospitalization (15.00 (10.75–19.25) vs. 11.00 (9.00–14.00) days, p=0.001) and total course of illness (23.00 (18.00–28.00) vs. 20.00 (17.00–24.00) days, p=0.010) were significantly longer in the positive group than in the negative group. The occurrence of pericardial effusion (23.7% vs. 7.9%, p=0.017), atelectasis (73.7% vs. 53.5%, p=0.027) and necrotizing pneumonia (23.7% vs. 7.9%, p=0.017) were more frequent in the positive group compared to the negative group. The levels of neutrophil percentages (82.35% (75.40%-85.78%) vs. 72.70% (64.30%-79.90%), p<0.001), C-reactive protein (CRP) (71.12 (37.75–139.41) vs. 31.15 (13.54–65.00) mg/L, p<0.001), procalcitonin (PCT) (0.65 (0.30–3.05) vs. 0.33 (0.17–1.13) ng/ml, p=0.005), serum lactate dehydrogenase (LDH) (799.00 (589.00–1081.50) vs. 673.00 (503.00–869.00) U/L, p=0.009), D-dimer (6.21 (3.37–16.11) vs. 3.32 (2.12–6.62) mg/L, p=0.001) on admission were significantly higher in the positive group than in the negative group. These pronounced differences significantly contributed to the identification of MPP with MP positive pleural effusion, as evidenced by the ROC curve analysis. Marked elevations in adenosine deaminase (49.25 (36.20–60.18) vs. 36.20 (28.10–46.50) U/L, p<0.001) and LDH levels (2298.50 (1259.75–3287.00) vs. 1199.00 (707.00–1761.00) U/L, p<0.001) were observed in pleural fluid of the positive group when compared to the negative group. Meanwhile, the number of patients on low molecular weight heparin (LMWH) therapy (9 (23.7%) vs. 12 (9.4%), p=0.028) was higher in the positive group. Multivariate logistic regression analysis revealed that D-dimer > 7.33 mg/L was significantly associated with the incidence of MP positive pleural effusion in MPP (OR=3.517).

Conclusions

The presence of MP in pleural fluid in MPP children with pleural effusion indicated a more serious clinical course. D-dimer > 7.33 mg/L was a related factor for MP positive pleural effusion in MPP. The results of the present study would help in the creation of a therapeutic plan and prediction of the clinical course of MPP in children.

Keywords

Pleural effusion
Mycoplasma pneumoniae
Mycoplasma pneumoniae pneumonia
Neutrophils
D-dimer
issue-copyright-statement© BioMed Central Ltd., part of Springer Nature 2024
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pmcIntroduction

Mycoplasma pneumoniae (MP), a prevalent respiratory pathogen responsible for community-acquired pneumonia (CAP), accounts for 10–40% of CAP cases in children [1, 2]. MP infection was traditionally thought to be self-limited with a favorable prognosis. However, once it progresses to severe Mycoplasma pneumoniae pneumonia (SMPP), it can be accompanied by a variety of intrapulmonary complications (e.g. pleural effusion, lung abscess, atelectasis, necrotizing pneumonia, and bronchiolitis obliterans) and extrapulmonary complications (e.g. myocarditis, nephritis, encephalitis, and hemolytic anemia), all of which have a profound impact on the daily life and wellbeing of infected children [3–5].

Pleural effusion, a well-recognized complication of MP infection [6], occurs in approximately 20.3% to 20.7% of Mycoplasma pneumoniae pneumonia (MPP) cases across all age groups [7, 8]. Previous studies demonstrated that MPP patients with pleural effusion were more severe than those without pleural effusion, tending to have higher CRP levels and longer fever duration [4, 9], indicating the pivotal role of pleural effusion in MPP. Although the underlying pathophysiology of pleural effusion in MPP has not yet been fully understood, it is postulated that its development in patients with MPP might be associated with direct invasion, continuum of the MP infection, or exaggerated immune responses [10]. However, studies regrading pleural effusion in MPP are limited. A previous study speculated that pleural effusion caused by MP infection can be categorized into two patterns: one characterized by the absence of the MP genome and lower concentrations of cytokines (e.g. interleukin (IL)-18 and IL-8), while the other characterized by persistent chest disease with the presence of the MP genome and higher levels of IL-18 and IL-8 [11]. However, these studies included small sample sizes. Additionally, studies comprehensively investigating the clinical characteristics difference between the absence and the presence of MP in pleural effusion in MPP are lacking. The availability of such information would be helpful in identifying the clinical significance of MP positive pleural effusion in MPP children. Hence, the purpose of this study was to elucidating the clinical relevance of MP status in pleural fluid in MPP children by comparing the clinical manifestations, laboratory findings, radiological characteristics and treatment modalities.

Materials and methods

Study population

This retrospective, single-center, observational study enrolled children with pleural effusion (PE) caused by MPP, who were admitted to Children’s hospital, Zhejiang University School of Medicine between January 2015 and December 2019 and required a diagnostic/therapeutic thoracentesis. The present study was approved by the Ethics Committee of Children’s Hospital, Zhejiang University School of Medicine (No. 2021-IRB-270), and written informed consent was obtained from parents or legal guardians of each patient.

Case definitions

The diagnostic criteria for pneumonia were the presence of at least one of respiratory symptoms and signs (e.g. fever, cough, productive sputum, dyspnea, chest pain, or abnormal lung auscultation) and evidence of a new pulmonary infiltrate on radiologic images (e.g. chest radiographs or CT scans). MP infection was diagnosed by positive results for MP polymerase chain reaction (PCR) tests of nasopharyngeal aspirates or bronchoalveolar lavage fluid (BALF) or pleural effusion. Pleural effusion was confirmed by imaging examinations (e.g. chest radiographs, CT scans or ultrasonographs).

Inclusion criteria were as follows: (1) met the diagnostic criteria; (2) pleural effusions were available for at least a diagnostic thoracentesis, or drained by thoracentesis with or without chest tube insertion for etiology analysis and symptom relief; (3) exclusion of other respiratory tract infections and tuberculosis.

We excluded patients with immunodeficiency disease, neurological disease, neuromuscular disease, congenital malformation, congenital heart disease, vascular ring malformation, bronchopulmonary dysplasia, primary ciliary dystrophy, bronchiolitis obliterans, pulmonary tumor, noninfectious interstitial pulmonary disease, cystic fibrosis, neoplasia, pulmonary tuberculosis, nosocomial pneumonia, other respiratory pathogen infections, or asthma as well as those whose pleural effusion caused by diseases other than CAP or data were incomplete.

To exclude the possibility of coinfection, additional tests were performed, including protein purified derivative (PPD), blood/pleural effusion/nasopharyngeal aspirate/ BALF cultures, nasopharyngeal aspirate for virus antigen detection (respiratory syncytial viruses, influenza viruses, adenovirus, and parainfluenza virus), and serology for Chlamydia pneumoniae, Legionella pneumoniae, and Chlamydia trachomatis.

MPP patients with pleural effusions were divided into 2 groups depending on the presence or absence of MP DNA in pleural effusions. We retrospectively compared demographics (e.g. gender, age), clinical characteristics (e.g. fever, cough, chest pain, preadmission fever duration, total fever duration, and hospitalization days), laboratory findings (e.g. routine blood examination, C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), aspartate aminotransferase (AST), alanine aminotransferase (ALT), D-dimer, cytokines, lactate dehydrogenase (LDH), procalcitonin (PCT), subpopulations of T lymphocytes, and immunoglobulins), and radiographic findings between the two groups. Patients received flexible bronchoscopy with bronchoalveolar lavage (BAL) according to the guide to pediatric bronchoscopy [12].

Measurement of serum cytokines

Venous blood samples for Th1/Th2 cytokines (including interleukin (IL)-2, IL-4, IL-6, IL-10, tumor necrosis factor (TNF)- α and interferon (IFN)- γ) detection were collected from each subject at admission and tested by FACSCalibur flow cytometer (BD biosciences, San Diego, CA, USA) using a CBA Human Th1/Th2 Cytokine Kit II (BD biosciences, San Diego, CA, USA).

Pleural effusion detection and pleural fluid analysis

A diagnostic lung ultrasound was performed for identifying pleural effusions. This procedure required patients to maintain a comfortable, standard seated posture and try to keep a calm breath. The ultrasound probe was positioned perpendicularly to the skin for measuring the maximum interpleural distance (the distance between the visceral and mural pleura) and determining the optimal puncture site for further intervention. Patients with an interpleural distance > 10 mm were recommended to undergo thoracentesis. Conversely, for those with a small amount of pleural fluid (an interpleural distance ≤ 10 mm), thoracentesis was not advised due to the potential risks (e.g. pneumothorax or bleeding). Subsequently, thoracentesis was performed at the predetermined optimal puncture site without direct ultrasound guidance for draining excess pleural fluid. Pleural fluid samples were then subjected to routine analysis including total leukocyte count, differential white cell count, glucose, protein, LDH, adenosine deaminase (ADA), Gram stain, MP DNA detection and common bacterial culture.

Bronchoalveolar lavage under bronchoscopy

As mucus accumulation in the airways and bronchial cast formation have been frequently observed in MPP patients [13], flexible bronchoscopy with bronchoalveolar lavage (BAL) is of great assistance in the therapy for severe MPP and refractory MPP [14]. Flexible bronchoscopy with BAL were performed on MPP patients in the following situations: (i) children with radiologically proven large pulmonary lesions, (ii) children with recurrent/persistent atelectasis, (iii) children with suspected mucus plug or plastic bronchitis, and (iv) unresponsiveness to standard anti-MP therapy.

Parental consent was obtained and preoperative preparations were completed prior to the bronchoscopy procedure. Three types of flexible bronchoscopes were utilized, tailored to the age and body weight of the patients: Olympus (Japan) BFXP40 (2.8 mm external diameter and 1.2 mm working channel), BF-3C30 (3.6 mm, 1.2 mm), and BF-P40(4.9 mm, 2.2 mm). Flexible bronchoscopy with BAL were performed by experienced respiratory endoscopists as we previously described [14]. In brief, after fasting for > 6 h, patients were sedated through intravenous administration of midazolam at a dosage of 0.1–0.15 mg/kg, and further anesthesia was applied topically with 1% lidocaine to the nasal cavity, vocal cords, and trachea for optimal comfort and relaxation. The bronchoscope was wedged in the subsegmental bronchus of the affected lobe as identified on the chest radiograph. BAL with normal saline (weight < 20 kg: 1 mL/kg/time, 3 times; weight > 20 kg: 20 mL/time, 3 times) was conducted with -25 to -100 mmHg suction, in accordance with the Official American Thoracic Society Technical Standards [15]. Meanwhile, BALF was collected for cytological analysis and microbiological determinations, including MP DNA detection and cultures of bacteria, mycobacteria and fungi [16]. Throughout the procedure, vital signs including breathing frequency, heart rate, and pulse oxygen saturation (SpO2) were vigilantly monitored in real-time. In the event of hypoxia (cyanosis, low SpO2, and/or high heart rate), oxygen of appropriate concentration was given immediately, and the procedure was stopped temporarily when necessary.

Other treatments

On admission, patients received antibiotics, nebulized budesonide suspension combined with ipratropium bromide inhalation, and postural drainage through back patting. Methylprednisolone (2 mg/kg/day) or intravenous immunoglobulins (IVIG) (400 mg/kg/day) were administrated in critically ill patients as appropriate based on their individual clinical status.

Low molecular weight heparin (LMWH) was administered in MPP patients with a marked elevation in D-dimer levels. Specifically, the normal range for D-dimer is < 0.55 mg/L, and LMHW is recommended when these levels surge over tenfold, reaching or exceeding 5.5 mg/L in MPP patients. In MPP patients without pulmonary embolism, the recommended dose of LMWH is 100 U/kg administered once daily via subcutaneous injection for preventive anticoagulant therapy. Conversely, in MPP patients with pulmonary embolism, the dose of LMWH remains 100 U/kg but is administered every 12 h through subcutaneous injection for anticoagulant therapy.

Statistical analysis

Statistical analysis was performed using SPSS software, version 23.0 (SPSS Inc., Chicago, IL, USA). The normal distribution data were expressed as mean ± standard deviation and compared using Student’s t-test, while the skewed distribution data were presented as medians and interquartile ranges (25th–75th percentiles) and compared using the Mann–Whitney U-test. Meanwhile, categorical variables were reported as percentages and compared using the Chi-square test or Fisher’s exact test. Receiver operating characteristic (ROC) curves were created to evaluate candidate markers related to MPP with MP-DNA positive pleural effusion. Meanwhile, the areas under the curve (AUC) and predictive metrics, including sensitivity, specificity and optimal threshold values were calculated to ascertain the diagnostic accuracy and efficacy of these markers. A logistic regression analysis was conducted to identify risk factors for MP-DNA positive pleural effusion, concurrently estimating the odds ratio (OR) for each identified factor. Spearman’s correlation coefficient was used to analyze the correlation between the parameters. A two-sided p-value of < 0.05 was considered statistically significant.

Results

Clinical characteristics of MPP patients with pleural effusion

A total of 165 MPP patients (78 males and 87 females) with pleural effusion fulfilled the inclusion criteria between January 2015 and December 2019. MP DNA was undetected in the pleural effusion of 127 cases (categorized as negative group), while the remaining 38 cases exhibited positive results of MP DNA detection in the pleural effusion (categorized as positive group).

We compared clinical characteristics of the two groups and the data are presented in Table 1. The proportion of female in the positive group was significantly higher than that in the negative group (71.05% vs. 47.24%, p = 0.010). The positive group showed significantly longer hospital stay (15.00 (10.75–19.25) vs. 11.00 (9.00–14.00), p = 0.001) and total course of illness (23.00 (18.00–28.00) vs. 20.00 (17.00–24.00), p = 0.010) compared to the negative group. There was no significant intergroup difference in the age, fever duration before admission, fever duration after admission, total fever duration, and course of disease before admission. All patients presented with symptoms of fever and cough. No significant differences were observed in the incidences of chest pain, abdominal pain, headache, tachypnea, and rash between the two groups. Pericardial effusion (23.7% vs. 7.9%, p = 0.017), atelectasis (73.7% vs. 53.5%, p = 0.027) and necrotizing pneumonia (23.7% vs. 7.9%, p = 0.017) occurred more frequently in the positive group than in the negative group. The occurrence of plastic bronchitis, peritoneal effusion, pulmonary embolism and splenic infarction showed no difference between the two groups. No cases complicated by pericardial effusion or peritoneal effusion required additional procedures for its removal. Table 1 Comparison of clinical characteristics according to the presence or absence of MP DNA in pleural effusion in children with MPP

Variables	negative (n = 127)	positive (n = 38)	p	
Gender(male/female)	67/60	11/27	0.010	
Age (Year)	7.00 (5.33–8.67)	6.02 (5.19–8.63)	0.257	
Hospital stay (day)	11.00 (9.00–14.00)	15.00 (10.75–19.25)	0.001	
Fever duration before admission (day)	8.00 (6.00–10.00)	7.00 (6.00–10.00)	0.668	
Fever duration after admission (day)	4.00 (2.00–6.00)	5.00 (3.00–7.00)	0.155	
Total fever duration (day)	12.00 (10.00–14.00)	13.00 (10.00–15.00)	0.360	
course of illness before admission (day)	9.00 (7.00–10.00)	8.00 (6.75–10.00)	0.530	
Total course of illness (day)	20.00 (17.00–24.00)	23.00 (18.00–28.00)	0.010	
Presenting manifestation	
 fever	127 (100.0%)	38 (100.0%)	NA	
 cough	127 (100.0%)	38 (100.0%)	NA	
 chest pain	1 (0.8%)	0 (0.0%)	1.000	
 abdominal pain	2 (1.6%)	0 (0.0%)	1.000	
 headache	2 (1.6%)	0 (0.0%)	1.000	
 tachypnea	36 (28.4%)	13 (34.2%)	0.488	
 rash	6 (4.7%)	2 (5.3%)	1.000	
Other complications	
 Pericardial effusion	10 (7.9%)	9 (23.7%)	0.017	
 Peritoneal effusion	13 (10.2%)	5 (13.2%)	0.566	
 Atelectasis	68 (53.5%)	28 (73.7%)	0.027	
 Necrotizing pneumonia	10 (7.9%)	9 (23.7%)	0.017	
 Pulmonary embolism	2 (1.6%)	1 (2.6%)	0.547	
 Splenic infarction	1 (0.8%)	0 (0.0%)	1.000	
 Plastic bronchitis	6 (4.7%)	4 (10.5%)	0.241	
NA Not applicable

Comparison of laboratory findings at the time of admission

As shown in Table 2, the levels of neutrophils percentages (82.35% (75.40%-85.78%) vs. 72.70%(64.30%-79.90%), p < 0.001), C-reactive protein (CRP) (71.12 (37.75–139.41) vs. 31.15 (13.54–65.00) mg/L, p < 0.001), procalcitonin (PCT) (0.65 (0.30–3.05) vs. 0.33 (0.17–1.13) ng/ml, p = 0.005), serum lactate dehydrogenase (LDH) (799.00 (589.00–1081.50) vs. 673.00 (503.00–869.00) U/L, p = 0.009), D-dimer (6.21 (3.37–16.11) vs. 3.32 (2.12–6.62) mg/L, p = 0.001) and CD19 + % (23.04 ± 9.04 vs. 19.65 ± 7.83, p = 0.048) on admission were significantly higher, and the level of lymphocytes% (12.35%(8.00%-15.72%) vs. 18.45%(12.93%-24.60%), p < 0.001), serum total protein (TP) (59.55 (55.93–64.30) vs. 62.25 (57.38–67.13) g/L, p = 0.037), CD3 + % (59.60% ± 11.09% vs. 68.14% ± 10.66%, p < 0.001), CD4 + % (29.22% ± 8.29% vs. 34.55% ± 8.24%, p < 0.001) and immunoglobulin G (IgG) (7.52 (5.81–8.80) vs. 8.85 (7.13–10.55) g/L, p = 0.003) were significantly lower in the positive group than in the negative group. The rest examined variants (e.g. IL-2, IL-4 and IL-6) in the positive group showed no differences from those of the negative group. Additionally, no notable variations were observed in the proportions of lymphocytes, neutrophils, macrophages and eosinophils in bronchoalveolar lavage fluid (BALF) between the two groups. Table 2 Comparison of laboratory findings according to the presence or absence of MP DNA in pleural effusion in children with MPP

Variables	negative (n = 127)	positive (n = 38)	p	
Blood routine test	
 WBC (× 109/L)	7.78 ± 3.49	8.78 ± 2.93	0.108	
 L (%)	18.45 (12.93–24.60)	12.35 (8.00–15.72)	< 0.001	
 N (%)	72.70 (64.30–79.90)	82.35 (75.40–85.78)	< 0.001	
 PLT (× 109/L)	260.00 (202.75–330.50)	249.50 (173.00–294.00)	0.287	
 CRP (mg/L)	31.15 (13.54–65.00)	71.12 (37.75–139.41)	< 0.001	
Blood biochemical test	
 TP (g/L)	62.25 (57.38–67.13)	59.55 (55.93–64.30)	0.037	
 ALB (g/L)	33.30 ± 4.64	31.77 ± 4.62	0.077	
 Globulin (g/L)	28.80 (25.40–32.70)	28.50 (28.48–35.18)	0.152	
 A/G	1.16 ± 0.27	1.16 ± 0.26	1.000	
 ALT (U/L)	36.00 (21.00–78.00)	31.00 (19.75–89.75)	0.971	
 AST (U/L)	60.00 (42.00–108.00)	71.50 (45.00–122.00)	0.363	
 ADA (U/L)	25.40 (22.40–29.8)	24.25 (21.58–29.23)	0.420	
 LDH (U/L)	673.00 (503.00–869.00)	799.00 (589.00–1081.50)	0.009	
 CK-MB (U/L)	25.00 (17.00–36.00)	28.00 (20.00–43.25)	0.123	
Cytokine	
 IL-2 (pg/ml)	2.50 (1.50–3.70)	2.55 (1.78–3.90)	0.559	
 IL-4 (pg/ml)	2.50 (1.85–3.45)	2.25 (1.73–3.00)	0.475	
 IL-6 (pg/ml)	44.90 (16.75–85.55)	60.10 (24.48–197.18)	0.191	
 IL-10 (pg/ml)	9.20 (6.30–13.15)	10.40 (5.38–16.25)	0.623	
 TNF-α (pg/ml)	2.10 (1.55–2.80)()	2.05 (1.30–2.53)	0.381	
 IFN-γ (pg/ml)	15.20 (6.05–42.25)	21.50 (7.38–83.47)	0.129	
Cellular immunity	
 CD19 + (%)	19.65 ± 7.83	23.04 ± 9.04	0.048	
 CD3 + (%)	68.14 ± 10.66	59.60 ± 11.09	< 0.001	
 CD4 + (%)	34.55 ± 8.24	29.22 ± 8.29	< 0.001	
 CD8 + (%)	28.74 ± 6.52	26.50 ± 7.85	0.107	
 CD3-CD16 + CD56 + (%)	5.60 (3.30–8.45)	6.80 (3.40–11.05)	0.225	
 CD4 + /CD8 + (%)	1.14 (0.97–1.45)	1.17 (0.83–1.52)	0.672	
Immunoglobulin	
 IgG (g/L)	8.85 (7.13–10.55)	7.52 (5.81–8.80)	0.003	
 IgA (g/L)	1.37 (1.02–1.97)	1.36 (0.82–1.74)	0.204	
 IgM (g/L)	1.53 (1.01–2.37)	1.19 (0.93–1.76)	0.210	
 C3 (g/L)	1.20 ± 0.23	1.15 ± 0.24	0.358	
 C4 (g/L)	0.35 (0.22–0.47)	0.32 (0.22–0.42)	0.332	
 IgE (IU/ml)	101.50 (46.45–332.25)	132.00 (69.20–311.00)	0.611	
 MP-IgM (COI)	2.75 (1.04–6.12)	2.58 (1.02–4.86)	0.997	
 D-dimer (mg/L)	3.32 (2.12–6.62)	6.21 (3.37–16.11)	0.001	
 PCT (ng/ml)	0.33 (0.17–1.13)	0.65 (0.30–3.05)	0.005	
 ESR (mm/h)	32.00 (19.00–47.00)	28.50 (23.00–43.50)	0.922	
Cytology of BALF	
 L%	4.00 (3.00–7.00)	5.00 (3.00–10.00)	0.117	
 N%	20.00 (5.25–33.75)	20.00 (6.75–40.50)	0.488	
 M%	75.00 (59.63–86.00)	69.00 (50.00–87.50)	0.644	
 E%	0.00 (0.00–0.50)	0.00 (0.00–0.00)	0.280	
WBC White blood cell, L Lymphocyte, N Neutrophil, PLT Platelet, CRP C-reactive protein, TP Total protein, ALB Albumin, A/G Albumin/globulin, ALT Alanine aminotransferase, AST Aspartate aminotransferase, ADA Adenosine deaminase, LDH Lactate dehydrogenase, CK-MB Creatine kinase-MB, IL Interleukin, TNF Tumor necrosis factor, IFN Interferon, Ig Immunoglobulin, C Complement, PCT Procalcitonin, ESR Erythrocyte sedimentation rate, BALF Bronchoalveolar lavage fluid, M Macrophage, E Eosinophil

Pleural fluid analysis

All enrolled patients underwent thoracocentesis followed by pleural fluid routine examination, however, none of them required closed thoracic drainage. The pleural fluid analysis data are presented in Table 3. The positive group underwent a notably higher frequencies of thoracentesis procedures in comparisons to the negative group (1.00 (1.00–2.00) vs. 1.00 (1.00–1.00), p = 0.049). Additionally, marked elevations in total protein (TP) (40.94 ± 5.78 vs. 38.64 ± 6.04 g/L, p = 0.039), adenosine deaminase (ADA) (49.25 (36.20–60.18) vs. 36.20 (28.10–46.50) U/L, p < 0.001), and LDH (2298.50 (1259.75–3287.00) vs. 1199.00 (707.00–1761.00) U/L) levels were detected in pleural fluid of the positive group when compared to the negative group. However, no significant differences were observed between the two group in terms of the maximum amount of pleural effusion and its location. The regression period of pleural effusion (11.00 (7.00–23.00) vs. 9.00 (7.00–13.00) days, p = 0.034) was significantly protracted in the positive group compared to the negative group. Table 3 Comparison of pleural fluid findings according to the presence or absence of MP DNA in pleural effusion in children with MPP

Variables	negative (n = 127)	positive (n = 38)	p	
Frequencies of thoracentesis (number)	1.00 (1.00–1.00)	1.00 (1.00–2.00)	0.049	
Frequencies of thoracentesis (once / ≥ twice)	108/19	27/11	0.050	
Maximum amount of pleural effusion (cm)	1.95 (1.60–2.80)	2.50 (1.45–3.35)	0.415	
Location of pleural effusion(left/right/both)	35/27/65	6/8/24	0.300	
Recovery Timeline for pleural effusion (days)	9.00 (7.00–13.00)	11.00 (7.00–23.00)	0.034	
Pleural fluid	
 WBC (× 106/L)	753.00 (395.50–1504.50)	675.00 (400.00–1151.00)	0.424	
 PMN (%)	20.00 (9.00–35.00)	23.00 (10.00–39.25)	0.470	
 L (%)	80.00 (65.00–92.00)	77.00 (60.75–90.00)	0.413	
 TP (g/L)	38.64 ± 6.04	40.94 ± 5.78	0.039	
 ADA (U/L)	36.20 (28.10–46.50)	49.25 (36.20–60.18)	 < 0.001	
 LDH (U/L)	1199.00 (707.00–1761.00)	2298.50 (1259.75–3287.00)	 < 0.001	
 Glu (mmol/L)	6.86 (6.07–8.33)	6.93 (5.88–8.73)	0.810	
WBC White blood cell, PMN Polymorphonuclear leukocyte, L Lymphocyte, TP Total protein, ADA Adenosine deaminase, LDH Lactate dehydrogenase, Glu Glucose

To gain a deeper insight into the relationship between ADA level and disease course, Spearman’s correlation analysis was carried out. Pleural fluid ADA level was positively correlated with length of hospitalization (r = 0.277, p < 0.001) and total disease course (r = 0.284, p < 0.001). Inversely, there was no significantly correlation between serum ADA level with length of hospitalization (r = -0.101, p = 0.198) and total disease course (r = -0.072, p = 0.361).

Treatment

All MPP patients were successfully treated regardless of the presence or absence of MP DNA in pleural effusion. As shown in Table 4, all patients received azithromycin treatment. One noticeable trend was that the number of patients on low molecular weight heparin (LMWH) therapy (9 (23.7%) vs. 12 (9.4%), p = 0.028) was higher in the positive group. However, there were no significant differences between the two groups in terms of in the requirement for oxygen support, administration of systemic corticosteroids or immunoglobulin (IVIG), intervention with flexible bronchoscopy or the frequencies of bronchoscopies performed. Furthermore, the duration of systemic steroids administration in the positive group was longer than that in the negative group (4.50 (0.00–16.00) vs. 0.00 (0.00–9.00) days, p = 0.042), whereas no statistical significance was observed in the length of azithromycin treatment or the period of oxygen inhalation between the two groups. Table 4 Comparison of treatment according to the presence or absence of MP DNA in pleural effusion in children with MPP

Variables	negative (n = 127)	positive (n = 38)	p	
Azithromycin	127 (100.0%)	38 (100.0%)	NA	
Administration duration of azithromycin (days)	9.00 (7.25–10.00)	8.00 (7.00–10.00)	0.947	
Systemic steroids	55 (43.3%)	22 (57.9%)	0.114	
Administration duration of Systemic steroids (days)	0.00 (0.00–9.00)	4.50 (0.00–16.00)	0.042	
Oxygen support	47 (37.0%)	17 (44.7%)	0.391	
Duration of oxygen inhalation (days)	0.00 (0.00–4.00)	0.00 (0.00–7.25)	0.154	
LMWH	12 (9.4%)	9 (23.7%)	0.028	
IVIG	6 (4.7%)	5 (13.2%)	0.129	
Flexible bronchoscopy	114 (89.8%)	34 (89.5%)	1.000	
Frequencies of bronchoscopies (times)	1.00 (1.00–1.00)	1.00 (1.00–2.00)	0.566	
NA Not applicable, LMWH Low molecular weight heparin, IVIG Immunoglobulin

Predictive values of the independent correlation factors in MPP patients with MP DNA positive in pleural effusion

The ROC analysis was employed to explore predictive values of laboratory data for MPP with MP DNA-positive pleural effusion, and the optimal cut-off value with maximum sensitivity and specificity was also determined in Fig. 1. ROC analysis revealed that neutrophil percentage, CRP, D-dimer, pleural fluid ADA and pleural fluid LDH were of great significance in the diagnosis of MPP with MP DNA-positive pleural effusion, with areas under the curve exceeding 0.7. When the cut-off value for the neutrophil percentage, CRP, D-dimer, pleural fluid ADA and pleural fluid LDH was set at 77.7%, 66.4 mg/L, 7.33 mg/L, 42.5 U/Land 1801.0 U/L, respectively, the diagnostic sensitivity and specificity for MPP with MP DNA-positive pleural effusion were as follows: 73.7% and 66.9% for neutrophil percentage, 60.5% and 77.2% for CRP, 46.7% and 86.2% for D-dimer, 71.1% and 70.1% for pleural fluid ADA, 65.8% and 76.4% for pleural fluid LDH, respectively (Table 5).Fig. 1 Predictability of the independent factors for MPP with MP DNA positive in pleural effusion. ROC curve of the N% (A), CRP (B), LDH (C), PCT (D), D-dimer (E), Pleural fluid ADA (F) and Pleural fluid LDH (G)

Table 5 Predictive values of the independent correlation factors for MPP with MP DNA positive in pleural effusion

Independent factors	AUC	95%CI	p	Cut-off value	Sensitivity	Specificity	
N (%)	0.722	0.624–0.820	< 0.001	77.7	73.7%	66.9%	
CRP (mg/L)	0.704	0.600–0.808	< 0.001	66.4	60.5%	77.2%	
Serum LDH (U/L)	0.640	0.540–0.740	0.009	713.5	68.4%	60.6%	
PCT (ng/ml)	0.656	0.560–0.752	0.005	0.34	73.0%	54.0%	
D-dimer (mg/L)	0.702	0.595–0.808	0.001	7.33	46.7%	86.2%	
Pleural fluid ADA (U/L)	0.713	0.622–0.805	< 0.001	42.5	71.1%	70.1%	
Pleural fluid LDH (U/L)	0.748	0.661–0.836	< 0.001	1801.0	65.8%	76.4%	
N Neutrophil, CRP C-reactive protein, LDH Lactate dehydrogenase, PCT Procalcitonin, ADA Adenosine deaminase, AUC Areas under the curve, CI Confidence interval

Logistic regression analysis for the related factors predicting the MPP with MP DNA-positive pleural effusion

To further evaluate the predictors associated with MPP with MP DNA-positive pleural effusion, a multiple logistic regression analysis was conducted. Notably, D-dimer > 7.33 mg/L emerged as a crucial predictor, exhibiting an odds ratio (OR) value of 3.517 (Table 6). Table 6 Stepwise logistic regression analysis for the related factors predicting the MPP with MP DNA positive in pleural effusion

Variable	B	S.E	Wald	p	OR	95%CI	
N (%)	0.501	0.576	0.755	0.385	1.650	0.533–5.106	
CRP (mg/L)	0.582	0.551	1.119	0.290	1.790	0.608–5.269	
Serum LDH (U/L)	0.634	0.529	1.437	0.231	1.885	0.669–5.316	
PCT (ng/ml)	0.130	0.533	0.060	0.807	1.139	0.401–3.241	
D-dimer (mg/L)	1.258	0.604	4.339	0.037	3.517	1.077–11.486	
Pleural fluid ADA (U/L)	0.848	0.611	1.925	0.165	2.334	0.705–7.729	
Pleural fluid LDH (U/L)	-0.090	0.685	0.017	0.895	0.913	0.238–3.499	
N Neutrophil, CRP C-reactive protein, LDH Lactate dehydrogenase, PCT Procalcitonin, ADA Adenosine deaminase, OR Odds ratio, CI Confidence interval

Discussion

The present study demonstrated a more severe clinical course in MPP patients with MP-positive pleural effusion when compared to those with MP-negative pleural effusion, reflected by a prolonged hospitalization stay, an extend total disease duration, increased incidence of other complications (e.g. pericardial effusion, atelectasis, necrotizing pneumonia), significant abnormalities in laboratory indicators (e.g. N%, CRP, PCT, LDH, D-dimer), longer duration of systemic steroids administration and a higher requirement for LMWH therapy. Notably, N%, CRP, PCT, LDH and D-dimer are indicators of inflammation, and the occurrence of pericardial effusion, atelectasis and necrotizing pneumonia was associated with the systemic inflammatory response to MP infection [17]. Currently, the widely accepted theory is that excessive immune response is responsible for MPP progression [18–20]. Similarly, Narita et al. supposed that the detection of MP in the pleural effusion was strongly associated with delay resolution of chest radiographic abnormality in MPP children [10]. Taken together, these evidences suggested a stronger systemic immune-inflammatory reaction in MPP patients with MP-positive pleural effusion, which leads further to a longer hospital-stays and illness duration.

Unlike bacterial pleural effusion with polymorphonuclear leukocyte (PMN) predominance, pleural effusion in MPP patients was mostly lymphocyte-predominant with a high ADA level [21]. Consistently, regardless of the presence or absence of MP in pleural effusion, pleural fluid analysis revealed lymphocyte-predominant exudates in MPP patients in our study. This could partially be explained by the pathological finding that MP is characterized by lymphoplasmacytic infiltrates in the bronchiolar wall, along with peribronchial wall thickening [22]. The persistent inflammation of underlying lung parenchyma induced by mononuclear cells might cause lymphocyte-predominant pleural effusion. It is noteworthy that we showed MPP patients with MP-positive pleural effusion exhibited higher ADA levels compared to those with MP-negative pleural effusion. ADA has 2 major isoenzymes, namely ADA1 and ADA2. ADA1 is ubiquitous in all cells, including lymphocytes and monocytes [23], and is mainly responsible for total ADA elevation in complex, purulent or some malignant pleural effusions [24]. Conversely, ADA2 is exclusively expressed in monocytes and macrophages [23], and upregulated when these cells are infected by intracellular microorganisms, such as Mycobacterium tuberculosis [25, 26]. We speculate that high ADA activity in the pleural effusion of MPP originates from monocytes and macrophages, and the presence of MP in pleural effusion further augments the activity of these cells. We showed the length of hospitalization and total disease course were positively correlated with pleural fluid ADA, suggesting higher pleural fluid ADA corresponded to longer the hospitalization duration and total disease course. Moreover, for predicting MPP with MP-DNA positive pleural effusion, the AUC for pleural fluid ADA was 0.713, and the optimal cutoff point was 42.5 U/L, with a sensitivity of 71.1% and specificity of 70.1% in our research, implying pleural fluid ADA is a critical biomarker for measuring MP infection status. Notably, as ADA levels also significantly elevated in tuberculosis, an increase in pleural fluid ADA level can further complicate the differential diagnosis between tuberculosis and MPP [25, 27]. In other words, ADA in pleural effusion is not a specific marker for MPP. Therefore, the predictive value of ADA depends not only on its sensitivity and specificity, but also on the local prevalence of pathogens. Further studies are necessary to distinguish MP pleural effusion from tuberculosis pleural effusion.

Persistent and excessive inflammatory reaction could cause tissue damage and cell death, which results in release of LDH [28]. Our study revealed a notable increase in LDH levels in both serum and pleural effusion in MPP patients with MP-positive pleural effusion, indicating both intrapulmonary and extrapulmonary damage due to stronger excessive local and systematic host-cellular responses to MP infection compared to MP-negative pleural effusion cases. Furthermore, a previous study reported that LDH increased in parallel with the severity of MPP and was documented as a valuable indicator for evaluating MPP conditions [29]. Consistently, we showed both serum and pleural fluid LDH had predictive value for MP-positive pleural effusion. Altogether, these data indicated that LDH play a pivotal role in assessing the severity of MP infection.

D-dimer, a specific marker of the fibrinolytic system, has been found increased significantly after MP infection and is more pronounced in SMPP or RMPP [30]. Likewise, D-dimer was significantly higher in the MP-positive pleural effusion group than in the MP-negative pleural effusion, demonstrating a more hypercoagulable state in the positive group. Although the precise mechanism underlying abnormal coagulation function in MP infection remains elusive, it is plausible that MP triggers an extensive synthesis and secretion of cytokines (e.g. interleukins, tumor necrosis factors and chemokines), then disrupting the delicate imbalance between the blood coagulation and anticoagulation systems, ultimately leading to local vascular damage and subsequent accumulation of metabolites (e.g. D-dimer) [31]. In accordance with the previous study [11], MP genome detectable in pleural effusion in our study exacerbated the local and systemic inflammation and aggravated disorders of the coagulation system. Furthermore, Li et al. revealed that the degree of elevated D-dimer was positively correlated with the severity of MPP, and elevated serum D-dimer levels (> 3.705 mg/L) serving as an independent predictor of MPP combined with necrotizing pneumonia [32]. Similarly, our study showed that a D-dimer level of > 7.33 mg/L was a risk factor for the development of MP-positive pleural effusion in MPP patients, suggesting a hypercoagulable state not only contributed to microthrombus in pulmonary circulation but also was closely associated with the inflammatory response and the severity of MP infection [33]. Therefore, D-dimer levels could assist clinicians in precisely evaluating the disease status, promptly identifying serious pulmonary complications and initiating early comprehensive treatment measures to shorten the disease duration and improve the prognosis.

In line with previous reports [9, 29, 30, 34], we evaluated several easy-to-measure serum inflammatory markers (e.g. neutrophils, LDH, PCT, CRP, D-dimer) to determine their capability in distinguishing between the positive group and the negative group. These evidences highlighted the pivotal role these markers play in providing a better understanding of the clinical course and risk stratification of patients with MPP. It has been suggested that MP-related acute lung injury is not only attributed to the presence of MP itself but also results from an excessive host immune reaction [35]. We revealed that the pleural fluid MP DNA positive group experienced a longer duration of glucocorticoid therapy, implying hyperimmune inflammatory responses and suggesting the dose of methylprednisolone at 2 mg/kg/d may be insufficient for these patients. Dosage escalation of methylprednisolone should be considered for MPP patients with MP-positive pleural effusion to optimize inflammatory control and expedite recovery. Additionally, Guo et al. demonstrated serum LDH and ferritin levels as useful biomarkers for determining the appropriate corticosteroid dosage in treating children with RMPP [36]. Likewise, Xu et al. suggested the optimal values of CRP, LDH, and neutrophils (CRP 44.45 mg/L, LDH 590 IU/L, neutrophils 73.75%) may be the valuable predictors of using methylprednisolone pulse therapy. Collectively, it is worthy of refining the indication, timing and dosage of glucocorticoid administration for different MPP subtypes for reducing the intensity of local inflammation, alleviating the immune reaction and promoting disease recovery with the guide of comprehensive analysis of inflammatory parameters in the future clinical practice.

The advantage of this study is that all five markers studied, namely neutrophil percentage, CRP, LDH, PCT and D-dimer, can be easily detected, quantified, and calculated, enabling a rapid evaluation of severity and prognosis of MPP when combined with clinical manifestations. Still, our study had several limitations. Firstly, it exclusively included MPP patients with pleural effusion who underwent thoracentesis, potentially reflecting a selection bias towards more severe cases within the study population. However, pleural effusion frequently occurs in more severe MPP cases; thus, the findings of our study are applicable to real-world clinical scenarios. Secondly, since our study was single-center and retrospective, a multicenter, prospective cohort study is crucial to validating our findings. Such a study would help improve the prognosis of pediatric MPP in the era of growing macrolide resistance of MP and RMPP. Thirdly, MP was not screened for macrolide-resistant. Lastly, since the immune status of asthma patients may have a different pattern in the course of MPP [37, 38], our study excluded asthma patients. Further research will be needed to explore the characteristics of MPP with pleural effusion in asthmatic children.

Conclusions

The present study highlighted differences in clinical features between MPP subtypes with and without MP DNA in pleural effusion, of which MP-DNA positive effusion linked to a more severe clinical course. D-dimer > 7.33 mg/L was a high risk factor for MP-positive effusion in MPP. The results of this study may provide valuable guidance for the early management of MP infection and prediction of the clinical course of MPP in children.

Abbreviations

ALB Albumin

A/G Albumin/globulin

ALT Alanine aminotransferase

AST Aspartate aminotransferase

ADA Adenosine deaminase;

BALF Bronchoalveolar lavage fluid

C Complement

CI Confidence interval

CRP C-reactive protein

CK-MB Creatine kinase-MB

E Eosinophil

ESR Erythrocyte sedimentation rate

IL Interleukin

IFN Interferon

Ig Immunoglobulin

IVIG Immunoglobulin

L Lymphocyte

LDH Lactate dehydrogenase

LMWH Low molecular weight heparin

M Macrophage

N Neutrophil

NA Not applicable

OR Odds ratio

PLT Platelet

PCT Procalcitonin

PMN Polymorphonuclear leukocyte

TP Total protein

WBC White blood cell

TNF Tumor necrosis factor

Acknowledgements

We thank all the children enrolled in this study and their guardians for the support. Also, we thank all the doctors and nurses who had helped with this study.

Authors’ contributions

SL and JZ analyzed the data and prepared the manuscript. JH, DY and GZ performed the data collection and analysis. LT and ZC conceived and designed the study and edited the manuscript. All authors read and approved the final manuscript.

Funding

The work was supported by grants from the Zhejiang Provincial Natural Science Foundation (No. LQ20H190006) and the Zhejiang Province Vanguard Goose-leading Initiative (No. 2024C03177).

Availability of data and materials

All data generated or analyzed during this study are included in this article.

Declarations

Ethics approval and consent to participate

This study involving human participants were reviewed and approved by Ethics Committee of Children’s Hospital, Zhejiang University School of Medicine (No. 2021-IRB-270). Parents or legal guardians of each patient provided their written informed consent to participate in this study.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Shuxian Li and Junfen Zhou contributed equally to this work.
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