Neutrophil-to-lymphocyte ratio as a predictor of poor outcomes of Mycoplasma pneumoniae pneumonia

A machine learning model for predicting severe mycoplasma pneumoniae pneumonia in school-aged children

OBJECTIVE

To develop an interpretable machine learning (ML) model for predicting severe Mycoplasma pneumoniae pneumonia (SMPP) in order to provide reliable factors for predicting the clinical type of the disease.

METHODS

We collected clinical data from 483 school-aged children with M. pneumoniae pneumonia (MPP) who were hospitalized at the Children's Hospital of Soochow University between September 2021 and June 2024. Difference analysis and univariate logistic regression were employed to identify predictors for training features in ML. Eight ML algorithms were used to build models based on the selected features, and their effectiveness was validated. The area under the curve (AUC), accuracy, five-fold cross-validation, and decision curve analysis (DCA) were utilized to evaluate model performance. Finally, the best-performing ML model was selected, and the Shapley Additive Explanations (SHAP) method was applied to rank the importance of clinical features and interpret the final model.

RESULTS

After feature selection, 30 variables remained. We constructed eight ML models and assessed their effectiveness, finding that the CatBoost model exhibited the best predictive performance, with an AUC of 0.934 and an accuracy of 0.9175. DCA was used to compare the clinical benefits of the models, revealing that the CatBoost model provided greater net benefits than the other ML models within the threshold probability range of 34% to 75%. Additionally, we applied the SHAP method to interpret the CatBoost model, and the SHAP diagram was used to visually show the influence of predictor variables on the outcome. The results identified the top six risk factors as the number of days with fever, D-dimer, platelet count (PLT), C-reactive protein (CRP), lactate dehydrogenase (LDH), and the neutrophil-to-lymphocyte ratio (NLR).

CONCLUSIONS

The interpretable CatBoost model can help physicians accurately identify school-aged children with SMPP. This early identification facilitates better treatment options and timely prevention of complications. Furthermore, the SHAP algorithm enhances the model's transparency and increases its trustworthiness in practical applications.

Diagnostic value of neutrophil-to-lymphocyte ratio, fibrinogen-to-albumin ratio and red blood cell distribution width in tuberculosis combined with other bacterial infections

OBJECTIVE

To investigate the clinical significance of the neutrophil-to-lymphocyte ratio (NLR), fibrinogen-to-albumin ratio (FAR), and red blood cell distribution width (RDW) in pulmonary tuberculosis (PTB) associated with other bacterial lung infections.

METHODS

A total of 74 patients with PTB complicated with other bacterial lung infections, who were admitted to the Sixth People's Hospital of Nantong City (Nantong, China) from January 2021 to December 2023, were included in this study as the PTB with infection complication group. A comparison group of 96 patients with uncomplicated PTB, admitted to the same hospital during the same period, was used as the PTB without infection complication group. The NLR, FAR, and RDW values in peripheral blood were determined and compared between the two groups. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic performance of these indicators for early detection of PTB complicated with other bacterial infections.

RESULTS

The NLR, FAR, and RDW values were significantly higher in the PTB with infection complication group compared to the PTB without infection complication group, with differences reaching statistical significance (P < 0.05). NLR value showed a positive correlation with white blood cell count, C-reactive protein levels, and D-dimer levels. ROC curve analysis indicated that the area under the curve (AUC) values for diagnosing PTB with bacterial infection using blood NLR, FAR, and RDW were 0.861, 0.818, and 0.799, respectively. The combined AUC value of these three indicators was 0.982. The validation results showed that the diagnostic sensitivity (98.6%) and specificity (89.58%) of the combination of NLR, FAR, and RDW were higher than those of each indicator alone.

CONCLUSION

The combined assessment of blood NLR, FAR, and RDW values has high clinical diagnostic value for diagnosing PTB complicated with other bacterial infections.

Association between blood inflammatory status and the survival of tuberculosis: a five-year cohort study

Background

Blood inflammatory status is closely associated with tuberculosis (TB) progression. Emerging inflammatory indices from different leukocyte subtypes have become a prognostic hotspot for various diseases, yet their application in TB prognosis remains limited. This study aims to assess the impact of inflammatory status on TB patients' prognosis and its potential as a prognostic indicator to optimize prognostic assessment and therapeutic strategies.

Methods

This study included 4027 TB patients admitted to a tuberculosis-designated hospital in Shenzhen from January 2017 to December 2022. Patients were classified into three inflammatory statuses (Q1-Q3) based on each index's level. We conducted Cox regression and restricted cubic splines (RCS) analyses to evaluate the association between inflammatory status and unfavorable outcome, subgroup analyses to understand heterogeneous associations among subpopulations, and receiver operating characteristic (ROC) analyses to evaluate the prognostic performance of inflammatory status on TB treatment outcomes.

Results

During 48991.79 person-months of follow-up involving 4027 patients, 225 unfavorable outcomes occurred. Multivariable Cox regression indicated that the Q3 levels of CAR, CLR, dNLR, NLR, SII, and SIRI increased the risk of unfavorable outcome by 45%-99% (HR: 1.45-1.99, all P<0.050), whereas ENR reduced the risk by 29% (HR: 0.71, P=0.040) compared to Q1. RCS curves revealed linear associations with unfavorable outcome that were positive for CAR, CLR, dNLR, SII, and SIRI, negative for ENR (all P for nonlinear>0.050), and nonlinear for MLR, NLR, and PNI (all P for nonlinear<0.050). Subgroup analyses identified heterogeneous associations across age, sex, BMI, comorbidities, and drug resistance (all P for interaction<0.050), with attenuated risk effects of CAR, CLR, dNLR, and SII in patients aged 30-60 years, male, BMI≥24.0 kg/m², smokers, retreatment cases, and those with tumor. ROC analysis demonstrated stable predictive performances of inflammatory status (AUC: 0.785-0.804 at 6-month, 0.781-0.793 at 9-month, and 0.762-0.773 at 12-month), and the combination of the inflammatory status significantly optimized the prognostic performance of the basic model (9-month AUC: 0.811 vs 0.780, P=0.024; 12-month AUC: 0.794 vs 0.758, P=0.013).

Conclusion

Pretreatment blood inflammatory status effectively predicts the treatment outcome of TB patients. Our findings hold significant clinical value for TB patient management and warrant prospective evaluation in future studies.

Biomarkers associated with the diagnosis and prognosis of Mycoplasma pneumoniae pneumonia in children: a review

Community-acquired pneumonia (CAP) is a major cause of death in children, and Mycoplasma pneumoniae (MP) is the main pathogen of CAP in children in China. Although Mycoplasma pneumoniae pneumonia (MPP) is usually a self-limiting disease, many children develop multiple complications due to drug resistance or untimely diagnosis and treatment, and may even progress to severe MPP or refractory MPP with a poor prognosis. It is important to explore the value of biomarkers that can be used in clinical practice to assess the severity of pneumonia and assist in clinical decision making. In this article, we searched the literature in the last four years to review the roles of various types of biomarkers in MPP and the associated clinical predictive models, with the aim of helping pediatricians to understand the evaluation indexes related to MPP in children other than microbiology.

The Clinical Value of Novel Inflammatory Biomarkers for Predicting Mycoplasma pneumoniae Infection in Children

BACKGROUND

Mycoplasma pneumoniae (MP) is a major cause of community-acquired pneumonia (CAP), posing diagnostic challenges. This study evaluates novel inflammatory biomarkers, including neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII) and system inflammation response index (SIRI) for MP diagnosis in children.

METHODS

Complete blood count (CBC) results of 424 children with MP infection and 150 health children were collected. NLR, MLR, PLR, SII and SIRI, were respectively calculated. Shapiro-Wilk test, Student's t-test, Mann-Whitney U-test and Pearson chi-squared test were used to analyze the clinical data of the patients and participants. Multiple logistic regression analysis was conducted based on the results of single factor analysis. Receiver operating characteristic (ROC) curve was drawn to evaluate the potential of the above biomarkers for MP infection.

RESULTS

Compared with the control group, white blood cell (WBC) count, neutrophil (NEU) count, monocyte (MON) count, NLR, MLR, PLR, SII and SIRI were significantly higher and lymphocyte count (LYM) and platelet (PLT) were significantly lower than those in MP group. The results of multivariate logistic regression analysis indicate that MLR and SIRI can serve as major risk factors for MP infection in children. The predictive accuracy of logistic regression model based on MLR and SIRI is 83.28%. The area under the curve (AUC) results showed that SIRI has better predicting value of MP infection (AUC = 0.892, Sensitivity = 75.7%, Specificity = 92.0%).

CONCLUSION

This study described the significance of novel inflammatory biomarkers in children with MP infection and may provide new auxiliary diagnostic indicators for MP infection.

The impact of atopy on the clinical characteristics of mycoplasma pneumoniae pneumonia in pediatric patients

Mycoplasma pneumoniae (MP) is one of the pathogens that cause community-acquired pneumonia in children. Atopic diseases are also common in children. However, the impact of atopy on Mycoplasma pneumoniae pneumonia (MPP) in children is still unclear. The purpose of this study is to analyze the impact of atopy on the clinical characteristics of MPP in children, and provide a diagnosis and treatment plan. A total of 489 children hospitalized for MPP in our hospital from June 2023 to December 2023 were selected. They were divided into an atopic group (n = 172) and a non-atopic group (n = 317) based on whether they had atopy or not. Clinical data, treatment regimens, and laboratory indicators were compared between the two groups. Eosinophil count, lactate dehydrogenase and IgE levels were higher in the atopic group than in the non-atopic group. Additionally, neutrophil percentage, procalcitonin levels were lower in the atopic group than in the non-atopic group (P < 0.05). The proportion of bronchiolitis type on lung imaging was higher in the atopic group, and there was a higher incidence of severe pneumonia compared to the non-atopic group (P < 0.05). Atopy may lead to severe MPP and bronchiolitis-type MPP. Therefore, the treatment and prognosis of these children should be given more attention.

Clinical characteristics and predictive indictors of macrolide-unresponsive Mycoplasma pneumoniae pneumonia in children: a retrospective study

Introduction

Macrolide-unresponsive Mycoplasma pneumoniae pneumonia (MUMPP) cases have been rapidly increasing. The primary reason for this increased incidence is the pathogen's acquisition of resistance through mutations in 23S rRNA genes. Due to the unfeasibility of testing for macrolide susceptibility at the time of admission, this study aimed to assess the clinical features of pediatric MUMPP, using insights from laboratory tests and patterns of chest radiographic resolution.

Material and methods

We conducted a retrospective review of 161 patients with M. pneumoniae pneumonia (MPP) between January 2023 and December 2023. These patients were categorized into two groups based on their responsiveness to macrolides: 72 patients were in the MUMPP group, and 89 patients were in the macrolide-sensitive Mycoplasma pneumoniae pneumonia (MSMP) group.

Results

MUMPP patients experienced a longer duration of fever and hospital stay. A higher proportion of MUMPP patients had shortness of breath, transcutaneous blood oxygen saturation (SpO2) lower than 94%, bilateral lobar infiltrates, lobar pneumonia and pleural effusion. The serum level of serum ferritin (SF), interleukin-6(IL-6), D-dimer, lactate dehydrogenase to albumin rate (LAR), and neutrophil to lymphocyte rate (NLR) were higher in MUMPP group.

Conclusions

Our findings revealed that patients with MUMPP exhibit more severe initial radiographic indicators and clinical course compared to those with MSMP. Therefore, it is crucial to promptly administer alternative therapeutic agents besides macrolides for the management of MUMPP.

Necrotizing Pneumonia In Children: A Review

The objective of the review was to determine the long-term outcomes of necrotising pneumonia (NP). Studies published since 1990 in English, Portuguese, or Spanish, published on PubMed and Scielo were evaluated. Our findings showed ultrasound scanning is the diagnostic modality of choice. Despite prolonged hospitalisation (median 13-27 days) and fever (median 9-16 days), most patients recover completely. Empyema and bronchopleural fistulae are frequent in bacterial NP. Streptococcus pneumoniae is the most prevalent cause. Seventeen studies with 497 patients followed for 30 days to 8.75 years showed that most patients were clinically asymptomatic and had normal lung function. X-ray or CT chest imaging demonstrated that almost all lung lesions recovered within 4-6 months. We suggest that it is not necessary to request frequent chest X-rays during the treatment and recovery process. Chest CT scans should be reserved for specific cases not following the expected clinical course.

Enhanced insights into the neutrophil-driven immune mechanisms during Mycoplasma pneumoniae infection

Mycoplasma pneumoniae (MP) infections represent a significant component of community-acquired pneumonia, especially in children, invoking a complex neutrophil-mediated immune response, crucial for host defense. This review consolidates current knowledge on the role of neutrophils in MP infection, focusing on their recruitment, migration and activation, as well as the molecular mechanisms underpinning these processes. Significant findings indicate that specific bacterial components, notably CARDS toxin and lipoproteins, intensify neutrophil recruitment via signaling pathways, including the IL-23/IL-17 axis and G-CSF. Furthermore, neutrophils engage in a series of responses, including phagocytosis, degranulation and NETosis, to combat infection effectively. However, dysregulated neutrophil activity can lead to exacerbated lung injury, highlighting the delicate balance required in neutrophil responses. Age and immunodeficiency also emerge as critical factors influencing the severity of MP infections. This review emphasizes the dual role of neutrophils in both defending against and exacerbating MP infections, suggesting that targeted therapeutic strategies could mitigate the adverse effects while enhancing beneficial neutrophil functions.

Routine blood parameters as auxiliary diagnostic tools for Mycoplasma pneumoniae infection in children

Introduction. Recently, the incidence of Mycoplasma pneumoniae (M. pneumoniae) infection in children has been increasing annually. Early differential diagnosis of M. pneumoniae infection can not only avoid the abuse of antibiotics, but also is essential for early treatment and reduction of transmission.Gap statement. The change of routine blood parameters may have important clinical significance for the diagnosis of M. pneumoniae infection, but it has not been reported so far.Aim. This study aims to establish a predictive model for M. pneumoniae infection and explore the changes and clinical value of routine blood parameters in children with M. pneumoniae infection, serving as auxiliary indicators for the diagnosis and differentiation of clinical M. pneumoniae infection.Methodology. A total of 770 paediatric patients with respiratory tract infections were enrolled in this study, including 360 in the M. pneumoniae group, 40 in the SARS-CoV-2 group, 200 in the influenza A virus group, and 170 in the control group. The differences of routine blood parameters among all groups were compared, and risk factors were analysed using multivariate logistics analysis, and the diagnostic efficacy of differential indicators using ROC curves.Results. This study revealed that Mono% (OR: 3.411; 95% CI: 1.638-7.102; P=0.001) was independent risk factor associated with M. pneumoniae infection, and Mono% (AUC=0.786, the optimal cutoff at 7.8%) had a good discriminative ability between patients with M. pneumoniae infection and healthy individuals. Additionally, Mono% (OR: 0.424; 95% CI: 0.231-0.781; P=0.006) and Lymp% (OR: 0.430; 95% CI: 0.246-0.753; P=0.003) were independent risk factors for distinguishing M. pneumoniae infection from influenza A virus infection, and the Lymp% (AUC=0.786, the optimal cutoff at 22.1%) and Net% (AUC=0.761, the optimal cutoff at 65.2%) had good discriminative abilities between M. pneumoniae infection and influenza A infection. Furthermore, platelet distribution width (OR: 0.680; 95% CI: 0.538-0.858; P=0.001) was independent risk factor for distinguishing M. pneumoniae infection from SARS-CoV-2 infection. Meanwhile, the ROC curve demonstrated that PDW (AUC=0.786, the optimal cutoff at 15%) has a good ability to differentiate between M. pneumoniae infection and SARS-CoV-2 infection.Conclusion. This study demonstrates that routine blood parameters can be used as auxiliary diagnostic indicators for M. pneumoniae infection and provide reference for the diagnosis and differentiation of clinical M. pneumoniae infection.

A nomogram model based on SII, AFR, and NLR to predict infectious complications of laparoscopic hysterectomy for cervical cancer

BACKGROUND

This study aimed to investigate the potential risk factors associated with postoperative infectious complications following laparoscopic hysterectomy for cervical cancer and to develop a prediction model based on these factors.

METHODS

This study enrolled patients who underwent selective laparoscopic hysterectomy for cervical cancer between 2019 and 2024. A multivariate regression analysis was performed to identify independent risk factors associated with postoperative infectious complications. A nomogram prediction model was subsequently constructed and evaluated using R software.

RESULTS

Out of 301 patients were enrolled and 38 patients (12.6%) experienced infectious complications within one month postoperatively. Six variables were independent risk factors for postoperative infectious complications: age ≥ 60 (OR: 3.06, 95% confidence interval (CI): 1.06-8.79, P = 0.038), body mass index (BMI) ≥ 24.0 (OR: 3.70, 95%CI: 1.4-9.26, P = 0.005), diabetes (OR: 2.91, 95% CI: 1.10-7.73, P = 0.032), systemic immune-inflammation index (SII) ≥ 830 (OR: 6.95, 95% CI: 2.53-19.07, P < 0.001), albumin-to-fibrinogen ratio (AFR) < 9.25 (OR: 4.94, 95% CI: 2.02-12.07, P < 0.001), and neutrophil-to-lymphocyte ratio (NLR) ≥ 3.45 (OR: 7.53, 95% CI: 3.04-18.62, P < 0.001). Receiver operator characteristic (ROC) curve analysis indicated an area under the curve (AUC) of this nomogram model of 0.928, a sensitivity of 81.0%, and a specificity of 92.1%.

CONCLUSIONS

The nomogram model, incorporating age, BMI, diabetes, SII, AFR, and NLR, demonstrated strong predictive capabilities for postoperative infectious complications following laparoscopic hysterectomy for cervical cancer.

A preliminary study on the association between prognostic nutritional index and neutrophil-to-lymphocyte ratio with nutritional status and inflammation in febrile children's susceptibility to seizures

OBJECTIVE

The aim of this study was to evaluate the association between nutritional status, inflammation, and susceptibility to seizures in febrile children.

METHODS

This observational single-center study was carried out from January 2020 to December 2023 with 324 children aged 6 months and 6 years; 106 were diagnosed with febrile seizure, 108 were febrile children, and 110 were healthy controls. The prognostic nutritional index and neutrophil-to-lymphocyte ratio were calculated, and the cutoff threshold was established through receiver operating characteristics. The study utilized correlation and univariate-multivariate logistic regression analysis. The comparison between simple and complex febrile seizure was conducted to analyze differences.

RESULTS

The optimal cutoff values were identified as 61.25 for prognostic nutritional index and 1.04 for neutrophil-to-lymphocyte ratio. Our findings showed a significant negative association between febrile seizure and platelet count, high C-reactive protein, and high ferritin levels. Additionally, the febrile seizure group showed a significant positive correlation with high neutrophil-to-lymphocyte ratio values (≥1.04) and body temperature (≥38). Our findings revealed that high neutrophil-to-lymphocyte ratio, high C-reactive protein, and age less than 18 months were independently associated with seizure susceptibility in febrile children.

CONCLUSION

High neutrophil-to-lymphocyte ratio values and low prognostic nutritional index scores may serve as novel surrogate independent factors for seizure susceptibility in febrile children. Febrile children who are less than 18 months old are more prone to experience seizures than older febrile children. Moreover, there was a correlation between febrile seizures and elevated C-reactive protein levels and neutrophil-to-lymphocyte ratio values.

An injectable subunit vaccine containing Elongation Factor Tu and Heat Shock Protein 70 partially protects American bison from Mycoplasma bovis infection

Mycoplasma bovis (M. bovis) is the etiologic agent of high mortality epizootics of chronic respiratory disease in American bison (Bison bison). Despite the severity of the disease, no efficacious commercial vaccines have been licensed for the prevention of M. bovis infection in bison. Elongation factor thermal unstable (EFTu) and Heat Shock Protein 70 (Hsp70, DnaK) are highly conserved, constitutively expressed proteins that have previously been shown to provide protection against M. bovis infection in cattle. To assess the suitability of EFTu and Hsp70 as vaccine antigens in bison, the immune response to and protection conferred by an injectable, adjuvanted subunit vaccine comprised of recombinantly expressed EFTu and Hsp70 was evaluated. Vaccinates developed robust antibody and cellular immune responses against both EFTu and Hsp70 antigens. To assess vaccine efficacy, unvaccinated control and vaccinated bison were experimentally challenged with bovine herpes virus-1 (BHV-1) 4 days prior to intranasal infection with M. bovis. Vaccinated bison displayed reductions in joint infection, lung bacterial loads, and lung lesions compared to unvaccinated controls. Together, these results showed that this subunit vaccine reduced clinical disease and bacterial dissemination from the lungs in M. bovis challenged bison and support the further development of protein subunit vaccines against M. bovis for use in bison.

Predictive value of lactate dehydrogenase for Mycoplasma pneumoniae necrotizing pneumonia in children based on decision curve analysis and dose-response analysis

Mycoplasma pneumoniae necrotizing pneumonia (MPNP) has a long and severe disease course, which seriously threatens to jeopardize patients' lives and health. Early prediction is essential for good recovery and prognosis. In the present study, we retrospect 128 children with MPNP and 118 children with Mycoplasma pneumoniae pneumonia combined with pulmonary consolidation to explore the predictive value of lactate dehydrogenase (LDH) in children with MPNP by propensity score matching method, multiple logistic regression analysis, dose-response analysis and decision curve analysis. The WBC count, PLT count and percentage of neutrophils were significantly higher in necrosis group than consolidation group. The serum CRP, PCT, ESR, D-D, FIB, ALT, LDH, IgG and IgM were significantly higher in necrosis group. Compared to consolidation group, necrosis group is more severe in chest pain and dyspnea. Multivariate logistic regression analysis showed that duration of LDH levels, high fever, D-dimer, and fibrinogen were independent predictive factors for the incidence of MPNP. Restricted cubic spline analysis showed that a non-linear dose-response relationship between the continuous changes of LDH level and the incidence of MPNP. Decision curve analysis revealed that LDH had an important clinical value in predicting MPNP. This study provides a potential serologic indicator for early diagnosis of MPNP.

Study on red blood cell distribution width in children with severe Mycoplasma pneumoniae pneumonia

Background: This study aimed to investigate the clinical value of the red blood cell distribution width (RDW) in severe Mycoplasma pneumoniae pneumonia (MPP). Methods: A total of 185 children with diagnosed severe MPP were included. The patients' case records and laboratory examination data were analyzed retrospectively. The children were grouped into quartiles based on RDW. Results: Univariate analysis revealed that RDW was significantly correlated with the Pediatric Risk of Mortality (PRISM) III score, Sepsis-Related Organ Failure Assessment score, incidence of invasive intubation and 30-day in-hospital mortality. After adjustment for the severity of illness, multivariate analysis revealed that the PRISM III score and RDW were factors independently associated with 30-day in-hospital mortality. Conclusion: This study revealed that RDW could be correlated with the long-term prognosis and severity of severe MPP.