Heparin-binding protein as a predictor of mortality in patients with diabetes mellitus and community-acquired pneumonia in intensive care unit:a propensity score matched study

BACKGROUND:Patients with diabetes mellitus(DM)are vulnerable to community-acquired pneumonia(CAP),which have a high mortality rate.We aimed to investigate the value of heparin-binding protein(HBP)as a prognostic marker of mortality in patients with DM and CAP.METHODS:This retrospective study included CAP patients who were tested for HBP at intensive care unit(ICU)admission from January 2019 to April 2020.Patients were allocated to the DM or non-DM group and paired with propensity score matching.Baseline characteristics and clinical outcomes up to 90 days were evaluated.The primary outcome was the 10-day mortality.Receiver operating characteristic(ROC)curves,Kaplan-Meier analysis,and Cox regression were used for statistical analysis.RESULTS:Among 152 enrolled patients,60 pairs were successfully matched.There was no significant difference in 10-day mortality,while more patients in the DM group died within 28 d(P=0.024)and 90 d(P=0.008).In the DM group,HBP levels at ICU admission were higher in 10-day non-survivors than in 10-day survivors(median 182.21[IQR:55.43-300]ng/ml vs.median 66.40[IQR:34.13-107.85]ng/mL,P=0.019),and HBP levels could predict the 10-day mortality with an area under the ROC curve of 0.747.The cut-off value,sensitivity,and specificity were 160.6 ng/mL,66.7%,and 90.2%,respectively.Multivariate Cox regression analysis indicated that HBP was an independent prognostic factor for 10-day(HR 7.196,95%CI:1.596-32.455,P=0.01),28-day(HR 4.381,95%CI:1.449-13.245,P=0.009),and 90-day mortality(HR 4.581,95%CI:1.637-12.819,P=0.004)in patients with DM.CONCLUSION:Plasma HBP at ICU admission was associated with the 10-day,28-day,and 90-day mortality,and might be a prognostic factor in patients with DM and CAP.

Predictive value of systemic immunity index for sepsis in low-medium risk community-acquired pneumonia

Objective:To assess the predictive value of systemic immune inflammation index(SII)for sepsis in low-and medium-risk community-acquired pneumonia.Methods:A total of 589 elderly patients with low-and medium-risk community-acquired pneumonia admitted to the Emergency Department of the Second Affiliated Hospital of Hainan Medical University from January 2020 to January 2023 were included as the research subjects,and the general information and laboratory test results of the patients were collected,and the optimal cut-off value of continuous variables for predicting sepsis in elderly patients with low-and medium-risk community-acquired pneumonia was determined by plotting the receiver work characteristic(ROC)curve,which was converted into dichotomous variables and univariate and multivariate logistic Regression analysis of the influencing factors of sepsis in elderly patients with low-and medium-risk community-acquired pneumonia.Based on this,a nomogram model is constructed to predict the risk of sepsis.The differentiation,consistency and accuracy of the model were verified by calibration curve and subject operating characteristic(ROC)curve,and the clinical utility of the model was determined by decision curve analysis.Results:A total of 589 elderly patients with low-and intermediate-risk community-acquired pneumonia were included in this study,of which 96(16.30%)developed sepsis.There were significant differences in age,diabetes mellitus and chronic obstructive pulmonary disease,Lac,PCT,SII and other indexes between sepsis and non-sepsis groups(P<0.05).Logistics regression analysis showed that age,diabetes mellitus and chronic obstructive pulmonary disease,Lac,and SII were independent risk factors for sepsis in elderly patients with low-and medium-risk community-acquired pneumonia.The nomogram prediction model was used to verify the results,and the AUC was 0.826(95%CI:0.780-0.872),and the calibration curve tended to the ideal curve with good accuracy.The decision curve shows that when the threshold of the model is between 0.10~0.78,the model has the advantage of clinical benefit.Conclusion:The nomogram prediction model constructed based on SII to predict sepsis in elderly patients with low-and medium-risk community-acquired pneumonia has good accuracy,which can predict the occurrence of sepsis early,help early identification of high-risk groups and timely intervention,and thus improve the prognosis of patients.

Role of biomarkers in community-acquired pneumonia management

Community-acquired pneumonia(CAP)poses a significant global health threat,particularly affecting vulnerable populations.Biomarkers and scoring systems play a crucial role in diagnosing,assessing severity,and guiding treatment decisions for CAP patients.Biomarkers like C reactive protein,procalcitonin,and the neutrophil-to-lymphocyte ratio aid in diagnosis and severity assessment,while scoring systems such as CURB-65 and Pneumonia Severity Index classify patients into risk categories.Emerging biomarkers(uremia,elevated respiratory rate,hypotension,and age≥65)like serum amyloid A and S100 proteins show promise in predicting disease severity and prognosis.However,further research is needed to determine their precise roles and clinical utility in CAP management.

Understanding serum inflammatory markers in pediatric Mycoplasma pneumoniae pneumonia

This editorial reflects on the research,which investigates the potential of serum markers to predict the severity of Mycoplasma pneumoniae infections.Mycoplasma pneumoniae pneumonia(MPP)is a prevalent cause of respiratory infections in children,often leading to significant morbidity.Predicting the severity of MPP can significantly enhance patient management and outcomes.This editorial reviews the role of specific laboratory markers:(1)Lactate dehydrogenase;(2)Interleukin(IL)-6;(3)IL-10;(4)Tumor necrosis factor-α;and(5)D-dimer in predicting the severity of MPP in pediatric patients.Elevated levels of these markers are strongly associated with severe cases of MPP,providing clinicians with valuable tools for early diagnosis and targeted intervention.

Enhancing Pneumonia Detection in Pediatric Chest X-Rays Using CGAN-Augmented Datasets and Lightweight Deep Transfer Learning Models

Pneumonia ranks as a leading cause of mortality, particularly in children aged five and under. Detecting this disease typically requires radiologists to examine chest X-rays and report their findings to physicians, a task susceptible to human error. The application of Deep Transfer Learning (DTL) for the identification of pneumonia through chest X-rays is hindered by a shortage of available images, which has led to less than optimal DTL performance and issues with overfitting. Overfitting is characterized by a model’s learning that is too closely fitted to the training data, reducing its effectiveness on unseen data. The problem of overfitting is especially prevalent in medical image processing due to the high costs and extensive time required for image annotation, as well as the challenge of collecting substantial datasets that also respect patient privacy concerning infectious diseases such as pneumonia. To mitigate these challenges, this paper introduces the use of conditional generative adversarial networks (CGAN) to enrich the pneumonia dataset with 2690 synthesized X-ray images of the minority class, aiming to even out the dataset distribution for improved diagnostic performance. Subsequently, we applied four modified lightweight deep transfer learning models such as Xception, MobileNetV2, MobileNet, and EfficientNetB0. These models have been fine-tuned and evaluated, demonstrating remarkable detection accuracies of 99.26%, 98.23%, 97.06%, and 94.55%, respectively, across fifty epochs. The experimental results validate that the models we have proposed achieve high detection accuracy rates, with the best model reaching up to 99.26% effectiveness, outperforming other models in the diagnosis of pneumonia from X-ray images.

Time to recovery from severe pneumonia and its predictors among pediatric patients admitted in Mizan-Tepi University Teaching Hospital,South West Ethiopia,2022

Objective:Despite trials and programs for the prevention of childhood mortality due to pneumonia,Ethiopia is among the top five countries with the highest number of deaths due to pneumonia.Although the prevalence of pneumonia has increased in the abovementioned trials,little is known about the recovery time from severe pneumonia and its predictors in the study area.Therefore,this study aimed to assess the time to recovery from severe pneumonia and its predictors among pediatric patients admitted to Mizan-Tepi University Teaching Hospital,Ethiopia,in 2022.Methods:A total of 591 children admitted for severe pneumonia were selected using simple random sampling.Data were entered into Epi-data version 4.4.2.1 and expor ted to STATA version 14 for analysis,and the assumptions of Cox propor tional hazard models and goodness of fit were assessed through Shoenfeld residual and Cox-Snell residual,respectively.Bivariate and multivariable Cox regression models were used to identify the predictors of mor tality.Results:This study revealed that 91.54%(95%confidence interval[CI]:89.00–93.53)of participants recovered with an incidence rate of 24.10(95%CI:22.15–26.21)per 100 person-day–observations.The hmedian recovery time of children was 4 days(95%CI:2–6).Children who were not exclusively breastfed(AHR=1.3;95%CI:1.03–1.66),who had a history of inability to suck/feed(AHR=0.81;95%CI:0.65–0.99)were independent predictors of the time to recovery.Conclusions:Children with severe pneumonia who had not exclusively breastfed and who had a history of inability to suck/feed were independent predictors of time to recovery.Therefore,all stakeholders and concerned health care providers should focus more on early diagnosis and management and hasten early recovery based on the identified factors.

Detection of respiratory viral and bacterial pathogens causing pediatric community-acquired pneumonia in Beijing using real-time PCR

Objective: The aim of this study was to determine the etiology and prevalence of pediatric CAP in Beijing using a real-time polymerase chain reaction (PCR) technique. Methods: Between February 15, 2011 and January 18, 2012, 371 pediatric patients with CAP were enrolled at Beijing Children's Hospital. Sixteen respiratory viruses and two bacteria were detected from tracheal aspirate specimens using commercially available multiplex real-time reverse transcription PCR (RT-PCR) kits. Results: A single viral pathogen was detected in 35.3%of enrolled patients, multiple viruses in 11.6%, and virus/bacteria co-infection in 17.8%. In contrast, only 6.5%of patients had a single bacterial pathogen and 2.2%were infected with multiple bacteria. The etiological agent was unknown for 26.7% of patients. The most common viruses were respiratory syncytial virus (RSV) (43.9%), rhinovirus (14.8%), parainfluenza virus (9.4%), and adenovirus (8.6%). In patients under three years of age, RSV (44.6%), rhinovirus (12.8%), and Streptococcus pneumoniae (9.9%) were the most frequent pathogens. In children aged 3e7 years, S. pneumoniae (38.9%), RSV (30.6%), Haemophilus influenzae (19.4%), and adenovirus (19.4%) were most prevalent. Finally in children over seven years, RSV (47.3%), S. pneumoniae (41.9%), and rhinovirus (21.5%) infections were most frequent. Conclusions: Viral pathogens, specifically RSV, were responsible for the majority of CAP in pediatric patients. However, both S. pneumoniae and H. influenzae contributed as major causes of disease. Commercially available multiplexing real-time PCR allowed for rapid detection of the etiological agent. Copyright ? 2015, Chinese Medical Association Production. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Clinical characteristics of community-acquired pneumonia in children caused by mycoplasma pneumoniae with or without myocardial damage:A single-center retrospective study

BACKGROUND Mycoplasma pneumoniae(MP)is a prevalent pathogen that causes respiratory infections in children and adolescents.AIM To assess the differences in the clinical features of MP-associated communityacquired pneumonia(CAP)in children who presented with mild or severe mycoplasma pneumoniae pneumonia(MPP);to identify the incidence of myocardial damage between the two groups.METHODS This work is a retrospective study.We identified children between 2 mo and 16 years of age with clinical and radiological findings consistent with CAP.We admitted patients to the inpatient department of the Second Hospital of Jilin University,Changchun,China,from January 2019 to December 2019.RESULTS A total of 409 hospitalized patients were diagnosed with MPP.Among them were 214(52.3%)males and 195(47.7%)females.The duration of fever and cough was the longest in severe MPP cases.Similarly,plasma levels of highly sensitive Creactive protein(t=-2.834,P<0.05),alanine transaminase(t=-2.511,P<0.05),aspartate aminotransferase(t=-2.939,P<0.05),and lactate dehydrogenase(LDH)(t=-2.939,P<0.05)were all elevated in severe MPP cases compared with mild MPP cases,and these elevations were statistically significant(P<0.05).Conversely,the neutrophil percentage was significantly lower in severe MPP cases than in mild MPP cases.The incidence of myocardial damage was significantly higher in severe MPP cases than in mild MPP cases(χ^(2)=157.078,P<0.05).CONCLUSION Mycoplasma pneumoniae is the main cause of CAP.The incidence of myocardial damage was higher and statistically significant in severe MPP cases than in mild MPP cases.

Heparin-binding protein combined with human serum albumin in early assessment of community-acquired pneumonia:A retrospective study

Objective:To investigate the application of heparin-binding protein along with albumin(HBP+ALB)in evaluating the severity of community-acquired pneumonia(CAP)and compares it with single HBP,white blood cells(WBCs),C-reactive protein(CRP),and procalcitonin(PCT).Methods:A total of 226 patients with CAP admitted to the Emergency Department of Zhujiang Hospital,Southern Medical University,Guangdong,China,between March 1,2021,and March 1,2022,were enrolled.The patients were grouped into two groups:mild CAP(n=175)and severe CAP(sCAP)(n=51).Patients'characteristics and laboratory data were obtained.ROC curve and the value of the area under the curve(AUC)were used to evaluate the predictive values of HBP,ALB,WBC,CRP,and PCT.Results:WBC count,CRP,PCT,HBP,creatinine,and D-dimer were higher in the sCAP group,while ALB was lower in the sCAP group(P<0.05)than those in the mild CAP group.The AUCs of WBC,CRP,PCT,HBP,and HBP+ALB were 0.633(95%CI:0.545-0.722,P<0.05),0.635(95%CI:0.542-0.729,P<0.05),0.705(95%CI:0.619-0.791,P<0.05),0.809(95%CI:0.736-0.883,P<0.05),and 0.889(95%CI:0.842-0.936,P<0.05),respectively.Conclusions:HBP+ALB has a higher predictive value than single HBP,PCT,CRP and WBC used alone for the early assessment of CAP.

Clinical characteristics and prognosis of community-acquired pneumonia in autoimmune disease-induced

BACKGROUND:Community-acquired pneumonia(CAP)in autoimmune diseases(AID)-induced immunocompromised host(ICH)had a high incidence and poor prognosis.However,only a few studies had determined the clinical characteristics of these patients.Our study was to explore the characteristics and predictors of mortality in CAP patients accompanied with AID-induced ICH.METHODS:From 2013 to 2018,a total of 94 CAP patients accompanied with AID-induced ICH,admitted to Emergency Department of Zhongshan Hospital,Fudan University,were enrolled in this study.Clinical data and the risk regression estimates of repeated predictors were evaluated by generalized estimating equations(GEEs)analysis.An open-cohort approach was used to classify patient's outcomes into the survival or non-survival group.RESULTS:The hospital mortality of patients with CAP occurring in AID-induced ICH was 60.64%.No significant differences were found with respect to clinical symptoms and lung images between survival and non-survival groups,while renal insufficiency and dysfunction of coagulation had higher proportions in non-survival patients(P<0.05).Both noninvasive ventilation(NIV)and invasive mechanical ventilation(IMV)were performed more frequently in non-survival group(P<0.05).By the multivariate GEEs analysis,the repeated measured longitudinal indices of neutrophilto-lymphocyte ratio(NLR)(odds ratio[OR]=1.055,95%confidence interval[95%CI]1.025–1.086),lactate dehydrogenase(LDH)(OR=1.004,95%CI 1.002–1.006)and serum creatinine(s Cr)(OR=1.018,95%CI 1.008–1.028),were associated with a higher risk of mortality.CONCLUSION:The CAP patients in AID-induced ICH had a high mortality.A significant relationship was demonstrated between the factors of NLR,LDH,s Cr and mortality risk in these patients.

Imaging of community-acquired pneumonia: Roles of imaging examinations, imaging diagnosis of specific pathogens and discrimination from noninfectious diseases

This article reviews roles of imaging examinations in the management of community-acquired pneumonia(CAP), imaging diagnosis of specific CAP and discrimination between CAP and noninfectious diseases. Chest radiography is usually enough to confirm the diagnosis of CAP, whereas computed tomography is required to suggest specific pathogens and to discriminate from noninfectious diseases. Mycoplasma pneumoniae pneumonia, tuberculosis, Pneumocystis jirovecii pneumonia and some cases of viral pneumonia sometimes show specific imaging findings. Peribronchial nodules, especially tree-in-bud appearance, are fairly specific for infection. Evidences of organization, such as concavity of the opacities, traction bronchiectasis, visualization of air bronchograms over the entire length of the bronchi, or mild parenchymal distortion are suggestive of organizing pneumonia. We will introduce tips to effectively make use of imaging examinations in the management of CAP.

Can we predict which patients with community-acquired pneumonia are likely to have positive blood cultures？

BACKGROUND： Blood cultures （BC ） are commonly ordered during the initial assessment ofpatients with community-acquired pneumonia （CAP）, yet their yield remains low. Selective use of BCwould allow the opportunity to save healthcare resources and avoid patient discomfort. The studywas to determine what demographic and clinical factors predict a greater likelihood of a positiveblood culture result in patients diagnosed with CAP.METHODS： A structured retrospective systematic chart audit was performed to comparerelevant demographic and clinical details of patients admitted with CAP, in whom blood culture resultswere positive, with those of age, sex, and date-matched control patients in whom blood cultureresults were negative.RESULTS： On univariate analysis, eight variables were associated with a positive BC result.After logistic regression analysis, however, the only variables statistically significantly associatedwith a positive BC were WBC less than 4.5 x 109/L [likelihood ratio （LR）： 7.75, 95% CI=2.89-30.39], creatinine 〉106 !mol/L （LR： 3.15, 95%CI=1.71-5.80）, serum glucose〈6.1 mmol/L （LR： 2.46,95%CI=1.14-5.32）, and temperature 〉 38 °C （LR： 2.25, 95% CI =1.21-4.20）. A patient with all of thesevariables had a LR of having a positive BC of 135.53 （95% CI=25.28-726.8） compared to patientswith none of these variables.CONCLUSIONS： Certain clinical variables in patients with CAP admitted to hospitals doappear to be associated with a higher probability of a positive yield of BC, with combinations of thesevariables increasing this likelihood. We have identified a subgroup of CAP patients in whom bloodcultures are more likely to be useful.

Establishment of a Predictive Diagnostic Model for Acute Mycoplasma Pneumoniae Infection in Elderly Patients with Community-acquired Pneumonia

We established a diagnostic model to predict acute Mycoplasma pneumoniae （M. pneumonia） infection in elderly Community-acquired pneumonia （CAP） patients. We divided 456 patients into acute and non-acute M. pneumoniae infection groups. Binary logistic regression and receiver operating characteristic （ROC） curves were used to establish a predictive model. The following independent factors were identified： age 〉 70 years; serum cTNT level 〉 0.0S ng/mL; lobar consolidation; mediastinal lymphadenopathy; and antibody titer in the acute phase 〉 1：40. The area under the ROC curve of the model was 0.923 and a score of 2 7 score predicted acute M. pneumoniae infection in elderly patients with CAP. The predictive model developed in this study has high diagnostic accuracy for the identification of elderly acute M. pneumoniae infection.

B-type natriuretic peptide in predicting the severity of community-acquired pneumonia

BACKGROUND: Although pneumonia severity index(PSI) is widely used to evaluate the severity of community-acquired pneumonia(CAP), the calculation of PSI is very complicated. The present study aimed to evaluate the role of B-type natriuretic peptide(BNP) in predicting the severity of CAP.METHODS: For 202 patients with CAP admitted to the emergency department, BNP levels, cardiac load indexes, inf lammatory indexes including C-reactive protein(CRP), white blood cell count(WBC), and PSI were detected. The correlation between the indexes and PSI was investigated. BNP levels for survivor and non-survivor groups were compared, and a receiver operating characteristic(ROC) curve analysis was performed on the BNP levels versus PSI.RESULTS: The BNP levels increased with CAP severity(r=0.782, P<0.001). The BNP levels of the high-risk group(PSI classes IV and V) were signifi cantly higher than those of the low-risk group(PSI classes I–III)(P<0.001). The BNP levels were signifi cantly higher in the non-survivor group than in the survivor group(P<0.001). In addition, there were positive correlations between BNP levels and PSI scores(r=0.782, P<0.001). The BNP level was highly accurate in predicting the severity of CAP(AUC=0.952). The optimal cut-off point of BNP level for distinguishing high-risk patients from low-risk ones was 125.0 pg/m L, with a sensitivity of 0.891 and a specifi city of 0.946. Moreover, BNP level was accurate in predicting mortality(AUC=0.823). Its optimal cut-off point for predicting death was 299.0 pg/m L, with a sensitivity of 0.675 and a specifi city of 0.816. Its negative predictive cut-off value was 0.926, and the positive predictive cut-off value was 0.426.CONCLUSION: BNP level is positively correlated with the severity of CAP, and may be used as a biomarker for evaluating the severity of CAP.

Distribution and antibiotic resistance of pathogens isolated from ventilator-associated pneumonia patients in pediatric intensive care unit

BACKGROUND： With mechanical ventilation widely used in intensive care unit, the ventilator associated pneumonia （VAP） has become a common and serious complication in critically ill patients. Compared with adults, the incidence of VAP and the mortality are higher in children in pediatric intensive care unit （PICU） because of immune deficiency, severe basic diseases, and increased use of artificial airway or mechanical ventilation. Hence it is of significance to study the epidemiology and changes of antibacterial susceptibility in order to reduce the incidence and mortality of VAP in children.METHODS： From January 2008 to June 2010, 2758 children were treated in PICU of Wuhan Children＇s Hospital. Among them, 171 received mechanical ventilation over 48 hours in PICU, and 46 developed VAP. The distribution and drug-resistance pattern of the pathogenic bacteria isolated from lower respiratory tract aspirations were analyzed. RESULTS：A total of 119 pathogenic microbial strains were isolated. Gram-negative bacilli （G-） were the most （65.55%）, followed by fungi （21.01%） and gram-positive cocci （G~, 13.45%）. Among them, the most common pathogens were Acinetobacter baummannii, Escherichia coli, Klebsiella pneumoniae, candida albicans and coagulase-negative staphylococci. Antibiotic susceptibility tests indicated that the multiple drug-resistances of G- and G＋to antibiotics were serious. Most of G- was sensitive to ciprofloxacin, amikacin, imipenem, meropenem, cefoperazone-sulbactam and piperacillin-tazobactam. The susceptibility of G＋ to vancomycin, teicoplanin and linezolid were 100%. Fungi were almost sensitive to all the antifungal agents. The primary pathogens of VAP were G-, and their multiple drug-resistances were serious. CONCLUSION： In clinical practice we should choose the most sensitive drug for VAP according to pathogenic test.

Outcome prediction value of National Early Warning Score in septic patients with community-acquired pneumonia in emergency department: A single-center retrospective cohort study

BACKGROUND:To evaluate the accuracy of National Early Warning Score(NEWS)in predicting clinical outcomes(28-day mortality,intensive care unit[ICU]admission,and mechanical ventilation use)for septic patients with community-acquired pneumonia(CAP)compared with other commonly used severity scores(CURB65,Pneumonia Severity Index[PSI],Sequential Organ Failure Assessment[SOFA],quick SOFA[qSOFA],and Mortality in Emergency Department Sepsis[MEDS])and admission lactate level.METHODS:Adult patients diagnosed with CAP admitted between January 2017 and May 2019 with admission SOFA≥2 from baseline were enrolled.Demographic characteristics were collected.The primary outcome was the 28-day mortality after admission,and the secondary outcome included ICU admission and mechanical ventilation use.Outcome prediction value of parameters above was compared using receiver operating characteristics(ROC)curves.Cox regression analyses were carried out to determine the risk factors for the 28-day mortality.Kaplan-Meier survival curves were plotted and compared using optimal cut-off values of qSOFA and NEWS.RESULTS:Among the 340 enrolled patients,90 patients were dead after a 28-day follow-up,62 patients were admitted to ICU,and 84 patients underwent mechanical ventilation.Among single predictors,NEWS achieved the largest area under the receiver operating characteristic(AUROC)curve in predicting the 28-day mortality(0.861),ICU admission(0.895),and use of mechanical ventilation(0.873).NEWS+lactate,similar to MEDS+lactate,outperformed other combinations of severity score and admission lactate in predicting the 28-day mortality(AUROC 0.866)and ICU admission(AUROC 0.905),while NEWS+lactate did not outperform other combinations in predicting mechanical ventilation(AUROC 0.886).Admission lactate only improved the predicting performance of CURB65 and qSOFA in predicting the 28-day mortality and ICU admission.CONCLUSIONS:NEWS could be a valuable predictor in septic patients with CAP in emergency departments.Admission lactate did not predict well the outcomes or improve the severity scores.A qSOFA≥2 and a NEWS≥9 were strongly associated with the 28-day mortality,ICU admission,and mechanical ventilation of septic patients with CAP in the emergency departments.

Serum inflammatory markers in children with Mycoplasma pneumoniae pneumonia and their predictive value for mycoplasma severity

BACKGROUND Mycoplasma pneumoniae pneumonia(MPP)significantly impacts pediatric health,necessitating markers for early severe disease identification.AIM To investigate the correlation between serum inflammatory marker and the severity of MPP in children.METHODS A prospective study was carried out from January 2023 to November 2023.A total of 160 children with MPP who underwent treatment were selected:80 had severe MPP and 80 had mild MPP.Clinical and laboratory data were collected at the time of hospital admission and during hospitalization.Receiver operating characteristic curves were utilized to assess the diagnostic and prognostic for severe MPP.RESULTS Fever duration and length of hospitalization in pediatric patients with severe MPP exceeded those with mild MPP.The incidence of pleural effusion,lung consolidation,and bronchopneumonia on imaging was markedly elevated in the severe MPP cohort compared to the mild MPP cohort.In contrast to the mild cohort,there was a notable increase in C-reactive protein(CRP),procalcitonin(PCT),erythrocyte sedimentation rate,lactic dehydrogenase,D-dimer,and inflammatory cytokines[interleukin(IL)-6,IL-8,IL-10 and tumor necrosis factor(TNF)-α]in the severe MPP group were significantly higher.CONCLUSION Serum inflammatory markers(CRP,PCT,IL-6,D-dimer,IL-10 and TNF-α)were considered as predictors in children with severe MPP.

Influence of overweight and obesity on the mortality of hospitalized patients with community-acquired pneumonia

BACKGROUND Obesity is associated with a better prognosis in patients with community-acquired pneumonia(the so-called obesity survival paradox),but conflicting results have been found.AIM To investigate the relationship between all-cause mortality and body mass index in patients with community-acquired pneumonia.METHODS This retrospective study included patients with community-acquired pneumonia hospitalized in the First Hospital of Qinhuangdao from June 2013 to November 2018.The patients were grouped as underweight(<18.5 kg/m^(2)),normal weight(18.5-23.9 kg/m^(2)),and overweight/obesity(≥24 kg/m^(2)).The primary outcome was all-cause hospital mortality.RESULTS Among 2327 patients,297(12.8%)were underweight,1013(43.5%)normal weight,and 1017(43.7%)overweight/obesity.The all-cause hospital mortality was 4.6%(106/2327).Mortality was lowest in the overweight/obesity group and highest in the underweight group(2.8%,vs 5.0%,vs 9.1%,P<0.001).All-cause mortality of overweight/obesity patients was lower than normal-weight patients[odds ratio(OR)=0.535,95%confidence interval(CI)=0.334-0.855,P=0.009],while the allcause mortality of underweight patients was higher than that of normal-weight patients(OR=1.886,95%CI:1.161-3.066,P=0.010).Multivariable analysis showed that abnormal neutrophil counts(OR=2.38,95%CI:1.55-3.65,P<0.001),abnormal albumin levels(OR=0.20,95%CI:0.06-0.72,P=0.014),high-risk Confusion-Urea-Respiration-Blood pressure-65 score(OR=2.89,95%CI:1.48-5.64,P=0.002),and intensive care unit admission(OR=3.11,95%CI:1.77-5.49,P<0.001)were independently associated with mortality.CONCLUSION All-cause mortality of normal-weight patients was higher than overweight/obesity patients,lower than that of underweight patients.Neutrophil counts,albumin levels,Confusion-Urea-Respiration-Blood pressure-65 score,and intensive care unit admission were independently associated with mortality in patients with community-acquired pneumonia.

Efficacy and safety of glucocorticoids in the treatment of community-acquired pneumonia: A meta-analysis of randomized controlled trials

BACKGROUND: Community-acquired pneumonia(CAP) is pneumonia acquired infectiously from normal social contact as opposed to being acquired during hospitalization. CAP is a leading cause of illness and death. This review aims to determine the efficacy and safety of glucocorticoids in the treatment of community-acquired pneumonia(CAP).DATA SOURCES: We searched randomized controlled trials(RCTs) from Pubmed, EMBASE, Cochrane Library, Chinese Journal Full-text Database, and Chinese Biomedical Literature Database to obtain the information by using steroids, glucocorticoids, cortisol, corticosteroids, community-acquired pneumonia and CAP as key words. The quality of RCTs was evaluated. A Meta-analysis was made using Rev Man 5.0 provided by the Cochrance Collaboration.RESULTS: Seven RCTs involving 944 patients were included in the meta-analysis. The mean length of hospital stay in glucocorticoids treatment group was significantly shorter than that in standard treatment group(WMD=–1.70, 95%CI 2.01–1.39, Z=10.81, P<0.00001). No statistically significant differences were found in the mortality rate(RR=0.77,95%CI 0.46–1.27, Z=1.03, P=0.30), the mean length of hospital stay in ICU(WMD=1.17, 95%CI 1.68–4.02, Z=0.81, P=0.42), the incidence of super infection(RR=1.32, 95%CI 0.66–2.63, Z=0.79, P=0.43), the incidence of hyperglycemia(RR=1.84, 95%CI 0.76–4.41, Z=1.36, P=0.17), the incidence of upper gastrointestinal bleeding(RR=1.98, 95%CI 0.37–10.59, Z=0.80, P=0.42) between the standard treatment group and the glucocorticoids treatment group.CONCLUSIONS: The use of glucocorticoids in patients with community-acquired pneumonia can significantly shorten the duration of illness and have a favorable safety profile. However, it could not reduce the overall mortality.

Improving antibiotic prescribing in the emergency department for uncomplicated community-acquired pneumonia

BACKGROUND:The Pediatric Infectious Disease Society(PIDS)and Infectious Disease Society of America(IDSA)published an evidence-based guideline for the treatment of uncomplicated communityacquired pneumonia(CAP)in children,recommending aminopenicillins as the first-line therapy.Poor guideline compliance with 10%–50%of patients admitted to the hospital receiving narrow-spectrum antibiotics has been reported.A new clinical practice guideline(CPG)was implemented in our emergency department(ED)for uncomplicated CAP.The aim of this study was to examine baseline knowledge and ED provider prescribing patterns pre-and post-CPG implementation.METHODS:Prior to CPG-implementation,an anonymous case-based survey was distributed to evaluate knowledge of the current PIDS/IDSA guideline.A retrospective chart review of patients treated in the ED for CAP from January 2015 to February 2017 was performed to assess prescribing patterns for intravenous(IV)antibiotics in the ED at Children’s National Health System pre-and post-CPG implementation.RESULTS:ED providers were aware of the PIDS/IDSA guideline recommendations,with 86.4%of survey responders selecting ampicillin as the initial antibiotic of choice.However,only 41.2%of patients admitted to the hospital with uncomplicated CAP pre-CPG received ampicillin(P<0.01).There was no statistically signifi cant increase in ampicillin prescribing post-CPG(P=0.40).CONCLUSIONS:Providers in the ED are aware of the PIDS/IDSA guideline regarding the first-line therapy for uncomplicated CAP;however,this knowledge does not translate into clinical practice.Implementation of a CPG in isolation did not significantly change prescribing patterns for uncomplicated CAP.