Duration Of Fever Research Articles

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.

Comparison of six Z-score formulas based on echocardiography for coronary artery lesions in Kawasaki disease

GoalKawasaki disease (KD) patients are at risk of developing the serious complication of coronary artery dilation (CAD). To diagnose CAD caused by KD, various Z-Score formulas are used worldwide. This paper aims to evaluate the differences and inclusiveness among the six most commonly used Z-Score formulas in diagnosing CAD in Suzhou, China. Additionally, the study seeks to compare the differences in CAD diagnosis among different high-risk factor groups. By doing so, this research provides a valuable reference for accurately diagnosing CAD in KD patients. MethodThis paper presents a retrospective analysis of 1509 patients diagnosed with KD at the Children's Hospital of Soochow University between January 2018 and December 2020. We collected the patients' clinical and echocardiographic data and used six Z-Score formulas (Kobayashi et al., de Zorzi et al., Kurotobi et al., McCrindle et al., Olivieri et al., and Dallaire et al.) to diagnose the degree of CAD in different segments. We then compared the diagnostic differences and inclusiveness of these formulas, especially the diagnostic differences in medium to giant CAA. To achieve this, we divided the patients into groups based on their age (≤12 months, 13–30 months, and > 30 months) and fever duration (≤5 days, 6–7 days, 8–9 days, and ≥ 10 days). Using the McNemar test and the Kappa test, we compared the differences and the consistencies of CDA diagnosis among the six Z-Score formulas. Moreover, we used the Friedman test and Chi-square segmentation formula to compare the differences in age and number of fever duration between groups and to compare each Z-Score formula pair within the group. ResultsExcept for the LMCA segment, where there were no statistically significant differences between de Zorzi formula and McCrindle formula, the Z-score formulas showed statistically significant differences in the degree of CAD diagnosis across all other segments. Inclusiveness assessment revealed that Kobayashi formula and Dallaire formula showed significantly higher rates of dilatation (6.58% and 5.32%), or of small aneurysms (6.52% and 4.52%) compared to other formulas (1.0%–1.73%). Medium aneurysms were also more likely to be identified with Kobayashi and Dallaire formulas (0.8% and 0.8%) compared to the remaining formulas (0.13–0.40%). There are significant differences in the diagnoses of medium to giant CAA made by these six formulas in LAD and RCA. The longer the duration of fever and the younger the age, the higher the diagnosis rates of CAD and CAA. There were no statistically significant differences between de Zorzi formula and McCrindle formula, de Zorzi formula and Oliveri formula, and Kurotobi formula and Dallaire formula within the four groups based on the duration of fever. Similarly, there were no statistically significant differences between Kobayashi formula and Dallaire formula, and between de Zorzi formula and Oliveri formula in the age groups of ≤12 months and 13–30 months. ConclusionThere are diagnostic differences among these six Z-score formulas, considering the aforementioned statistics. Kobayashi formula and Dallaire formula are more inclusive, and less likely to under-diagnose significant CAD. They perform evenly for dilatation only, for small aneurysms and the median size aneurysms, and that is for segments of LMCA, LAD and RCA. In addition, McCrindle formula joins the “inclusive” pack for LAD and RCA in the matter of CAD. The younger the age of the patients and the longer the duration of fever, the higher the diagnosis rates of CAD and CAA. Furthermore, the younger the age of the patients and the shorter the duration of fever, the greater the differences between the various formulas.

Decreased incidence of urinary tract infections in febrile infants aged ≤60 days during COVID-19 pandemic.

To investigate the incidence rate of urinary tract infections (UTIs) among febrile infants aged ≤60 days before, during, and after the COVID-19 pandemic. We conducted a retrospective study in 2 Swedish paediatric emergency departments between 2014 and 2022. We included full-term infants aged ≤60 days with fever without source. We calculated the annual incidence rate of UTI per 1000 births. We included 1589 full-term infants with fever without source. In 2020, 89 infants were evaluated in the emergency department versus 203-259 in 2017-2019. In 2020, the incidence rate of UTI was 1.43 per 1000 births/year versus 2.18-2.37 in 2017-2019. The median age, sex, fever duration, and urine testing were similar between the years 2017 and 2020. The number of febrile infants who presented to the paediatric emergency department and the incidence rate of UTIs decreased in 2020. This decrease might imply a systematic misdiagnosis of UTIs in infants with febrile viral infections. A more selective urine testing approach for febrile, previously healthy, infants should be considered to mitigate UTI misdiagnosis and its potential harmful effects.

Clinical efficacy and safety of Xuanfei Touxie Fang as a complementary medicine in the treatment of SARS-CoV-2 Omicron variant: A retrospective study

IntroductionTo explore the clinical efficacy and safety of Xuanfei Touxie Fang (XFTXF) as a complementary medicine in the treatment of SARS-CoV-2 Omicron variant. MethodsA retrospective study of 317 patients with ordinary symptoms admitted to our hospital from December 2022 to February 2023 were divided into the observation group (n = 224) and the control group (n = 93). The observation group was treated with Xuanfei Touxie Fang combined with conventional treatment and the control group treated with conventional treatment alone. Recovery time of symptoms, length of hospital stay, clinical cure rate and recovery rate of chest CT manifestations were compared between the two groups. ResultsThe time to recover from fever (median: 1 vs 3 days) and the length of hospital stay (median: 7 vs 9 days) of the observation group after treatment were significantly shorter than the control group. The difference was statistically significant (P < 0.05). The clinical cure rate (68.3% vs 54.84 %) and the recovery rate of chest CT manifestations (87.95% vs 66.67 %) of the observation group after treatment were higher than the control group. The difference was statistically significant (P < 0.05). There was no adverse reactions during the treatment for two groups. The difference was no statistically significant (P > 0.05). DiscussionNumerous studies have demonstrated that Xuanfei Touxie Fang, which is frequently used in respiratory diseases, has anti-coronavirus effects by inhibiting viral replication, release, penetration, and RNA synthesis. Therefore, we treated COVID-19 with it and evaluated its safety and effectiveness. ConclusionsXuanfei Touxie Fang as a complementary medicine has a significant effect in the treatment of COVID-19, which can reduce the duration of fever and the length of hospital stay, improve the clinical cure rate and recovery rate of chest CT manifestations.

Association between clinical symptoms during the COVID-19 infection and SARS-CoV-2 immunoglobulin G titers in COVID-19 convalescent whole-blood donors in China.

Limited studies have explored the association between clinical symptoms and titers of SARS-CoV-2 antibodies. In this cross-sectional study, whole-blood donors who had experienced a confirmed or suspected COVID-19 infection completed questionnaires at the time of blood donation. Plasma SARS-CoV-2 immunoglobulin G (IgG) titers were measured using an enzyme-linked immunosorbent assay. Logistic regression models were used to calculate odds ratios (ORs) for high-titer COVID-19 convalescent plasma (CCP) for each variable. Among the total 386 donors, 120 (31%) donors with IgG titers ≥1:160 were classified as high-titer donors. The multivariable ORs (95% confidence intervals [CIs]) for high titers were 2.33 (1.45-3.75), 2.11 (1.29-3.43), 1.10 (1.01-1.21), 1.19 (1.00-1.43), and 1.97 (1.05-3.71) for sore throat, cough, symptom count, fever duration, and low fever (compared with non-fever), respectively. No significant association was observed between other symptoms and medical visits and the odds of high-titer CCP. The association between high-titer CCP and fever duration was restricted to confirmed COVID-19-infected donors, while associations with sore throat and cough remained significant in suspected infected donors. In addition, medical visit was positively associated with high-titer CCP in suspected donors, but not in confirmed donors. In bootstrapped logistic regression models, the associations remained significant and reproducible for medical visit in suspected donors and for sore throat and cough in both suspected donors and total donors. Experiencing a sore throat and cough were associated with high-titer CCP in overall donors. We also identified sore throat, cough, and medical visits as potential predictors of high-titer CCP for suspected donors during the pandemic.

Use of Fever Duration to Guide Management of Urinary Tract Infection

Use of Fever Duration to Guide Management of Urinary Tract Infection

Development and validation of an online dynamic nomogram system for pulmonary consolidation in children with Mycoplasma pneumoniae pneumonia.

The occurrence of pulmonary consolidation in children with Mycoplasma pneumoniae pneumonia (MPP) can lead to exacerbation of the disease. Therefore, early identification of children with MPP in combination with pulmonary consolidation is critical. The purpose of this study was to develop a straightforward, easy-to-use online dynamic nomogram for the identification of children with MPP who are at high risk of developing pulmonary consolidation. 491 MPP patients were chosen and divided randomly into a training cohort and an internal validation cohort at a 4:1 ratio. Multi-factor logistic regression was used to identify the risk variables for mixed pulmonary consolidation in children with Mycoplasma pneumoniae (MP). The selected variables were utilized to build the nomograms and validated using the C-index, decision curve analysis, calibration curves, and receiver operating characteristic (ROC) curves. Seven variables were included in the Nomogram model: age, fever duration, lymphocyte count, C-reactive protein (CRP), ferritin, T8 lymphocyte percentage, and T4 lymphocyte percentage. We created a dynamic nomogram that is accessible online ( https://ertong.shinyapps.io/DynNomapp/ ). The C-index was 0.90. The nomogram calibration curves in the training and validation cohorts were highly comparable to the standard curves. The area under the curve (AUC) of the prediction model was, respectively, 0.902 and 0.883 in the training cohort and validation cohort. The decision curve analysis (DCA) curve shows that the model has a significant clinical benefit. We developed a dynamic online nomogram for predicting combined pulmonary consolidation in children with MP based on 7 variables for the first time. The predictive value and clinical benefit of the nomogram model were acceptable.

Coronary artery lesions in children with Kawasaki disease: status quo and nursing care.

Coronary artery lesion (CAL) is a common yet serious complication in children with Kawasaki disease. The aim of the present study was to evaluate the influencing factors of CAL in children with Kawasaki disease, to provide reference for the clinical treatment and care of children with Kawasaki disease. A retrospective cohort study. Children with Kawasaki disease treated in a tertiary hospital in China between 1 January 2021 and 31 December 2022 were selected. The characteristics and clinical data of children with Kawasaki disease were analyzed. Spearman's correlation analysis was conducted to evaluate the relationship between CAL and the characteristics of children with Kawasaki disease. A logistic regression analysis was used to analyze the influencing factors of CAL in children with Kawasaki disease. In total, 185 children with Kawasaki disease were included; the incidence of CAL in children with Kawasaki disease was 18.38%. Pearson's correlation analysis showed that gender (r = 0.504), age (r = 0.611), duration of fever ≥10 days (r = 0.579), hemoglobin (Hb) (r = 0.623), and C-reactive protein (CRP) (r = 0.558) were all correlated with the CAL in children with Kawasaki disease (all p < 0.05). Logistic regression analyses showed that male [odds ratio (OR) = 2.543, 95% confidence interval (CI): 1.801-3.077, p = 0.040], age ≤2 years (OR = 3.002, 95% CI: 2.744-3.641, p = 0.012), duration of fever ≥10 days (OR = 2.089, 95% CI: 1.624-2.515, p = 0.028), Hb ≤105 g/L (OR = 1.914, 95% CI: 1.431-2.406, p = 0.013), and CRP ≥100 mg/L (OR = 2.168, 95% CI: 1.893-2.531, p = 0.035) were the risk factors of CAL in children with Kawasaki disease (all p < 0.05). The incidence of CAL in children with Kawasaki disease is high and there are many related risk factors. Clinical medical workers should take early warning and carry out interventions and nursing care according to these risk factors to improve the prognosis of children with Kawasaki disease.

Kawasaki disease versus Multisystem Inflammatory Syndrome COVID-19 with Kawasaki disease phenotype. Single-center experience

to compare the clinical presentation, laboratory testing, and evolution of KD with PIMS Kawasaki phenotype (PIMS-KD) in patients hospitalized before the pandemic, compared with the pandemic period. Cross-sectional study in two groups of patients at the Hospital Exequiel González Cortés: typical KD (group 1) and PIMS-KD (group 2). Data on demographic, clinical, and biochemical details were collected, as well as echocardiogram, treatment, and evolution records. IgG and IgM serology for SARS-CoV-2 was performed in both groups. In the KD group and the PIMS-KD group, 20 and 33 patients were analyzed, respectively. There were differences in age, days of fever, count of leukocytes, lymphocytes, and platelets, erythrocyte sedimentation rate (ESR), and hospital stay. In 25% of the KD group, there were alterations in the echocardiogram and, in the PIMS-K group, all patients received corticosteroids and 25 patients received intravenous immunoglobulin (IVIG). In both groups, a favorable clinical evolution was observed, characterized by the absence of complications and mortality. Based on the data obtained in our study, the importance of the epidemiological link is emphasized as an essential factor in differentiating between both pathologies, highlighting the need to consider factors such as age, duration of fever, count of leukocytes, lymphocytes, and platelets, and degree of cardiac involvement, for a differential evaluation between patients with PIMS-KD versus KD.

Clinical characteristics and changes in serum CXCL10 and CXCL16 levels in patients with severe mycoplasma pneumonia.

To explore the clinical characteristics and changes in serum CXCL10 and CXCL16 in patients with severe mycoplasma pneumonia, and to analyze the risk factors of severe mycoplasma pneumonia. About 258 children with acute mycoplasma pneumoniae pneumonia (MPP) admitted to the respiratory department of a certain hospital from January 2020 to December 2022 were selected as the study subjects. According to the severity of MPP, patients are divided into 2 groups, namely the mild illness group (Q group) and the severe illness group (Z group). The number of cases in these 2 groups of children is 167 and 91, respectively. The serum CXCL10, CXCL16, and other indicators of 2 groups are tested. Compared to group Q, patients in group Z have a higher proportion of extrapulmonary complications, longer cough time, longer shortness of breath, and longer wheezing time (P < .05). The serum CXCL16 is higher and the proportion of pleural effusion is higher (P < .01). There are more cases of fever, longer fever duration, longer hospital stay, higher serum CXCL10, and higher D-dimer levels (P < .001). The area under the curve of the probability curve for predicting severe mycoplasma pneumonia is 0.975 (P < .05). Children with severe mycoplasma pneumonia have significantly longer fever duration and hospital stay than those with mild symptoms. The serum levels of CXCL10 and CXCL16 are significantly elevated.

Early predictors of delayed radiographic resolution of lobar pneumonia caused by Mycoplasma pneumoniae in children: a retrospective study in China.

Lobar pneumonia caused by Mycoplasma pneumoniae is a relatively difficult-to-treat pneumonia in children. The time of radiographic resolution after treatment is variable, a long recovery time can result in several negative effects, and it has attracted our attention. Therefore, exploring factors associated with delayed radiographic resolution will help to identify these children at an early stage and prepare for early intervention. The data of 339 children with lobar pneumonia caused by Mycoplasma pneumoniae were collected from the Department of Pediatrics of Fu Yang People's Hospital, China from January 2021 to June 2022. After discharge, the children were regularly followed up in the outpatient department and on the WeChat platform for > 8 weeks. According to whether pulmonary imaging (chest radiography or plain chest computed tomography) returned to normal within 8 weeks, the children were divided into the delayed recovery group (DRG) (n = 69) and the normal recovery group (NRG) (n = 270). The children's general information, laboratory examination findings, bronchoscopy results, and imaging findings were retrospectively analyzed. Single-factor analysis was performed to identify the risk factors for delayed radiographic resolution of lobar pneumonia caused by Mycoplasma pneumoniae, and the factors with statistically significant differences underwent multiple-factor logistic regression analysis. Receiver operating characteristic (ROC) analysis was then performed to calculate the cutoff value of early predictive indicators of delayed radiographic resolution. Single-factor analysis showed that the following were significantly greater in the DRG than NRG: total fever duration, the hospitalization time, C-reactive protein (CRP) level, lactate dehydrogenase (LDH) level, D-dimer level, pulmonary lesions involving two or more lobes, a large amount of pleural effusion, the time to interventional bronchoscopy, and mucus plugs formation. Multivariate logistic regression analysis showed that the hospitalization time, CRP level, LDH level, pulmonary lesions involving two or more lobes, and a large amount of pleural effusion were independent risk factors for delayed radiographic resolution of lobar pneumonia caused by Mycoplasma pneumoniae. The cutoff values on the receiver operating characteristic curve were a hospitalization time of ≥ 10.5 days, CRP level of ≥ 25.92mg/L, and LDH level of ≥ 378 U/L. If patients with lobar pneumonia caused by Mycoplasma pneumoniae have a hospitalization time of ≥ 10.5 days, CRP level of ≥ 25.92mg/L, and LDH level ≥ 378 U/L, the time of radiographic resolution is highly likely to exceed 8 weeks. Pediatricians must maintain a high level of vigilance for these factors, control the infection as early as possible, strengthen airway management, and follow up closely to avoid complications and sequelae of Mycoplasma pneumoniae pneumonia.

Kawasaki disease in Kenya and review of the African literature

BackgroundKawasaki disease has been described across the globe, although publications from Africa are limited. To our knowledge, there are no publications on Kawasaki disease from Kenya, which triggered this report.MethodsA retrospective cross-sectional study was undertaken to identify in-patients with a discharge diagnosis of Kawasaki disease, over 2 different 5-year periods, at two pediatric hospitals in Nairobi, Kenya. We reviewed the medical records of all patients and report their clinical findings, diagnostic workup and treatment. In addition, we undertook a detailed review of the literature.ResultsTwenty-three patients with Kawasaki disease were identified, of those 12 (52.2%) had incomplete disease. The mean age was 2.3 years (SD+/-2.2) (range 0.3–10.3) with a male to female ratio of 1:1. The mean duration of fever at diagnosis was 8.3 days (SD+/-4.7) (range 2–20). Oral changes were the most common clinical feature and conjunctivitis the least common. Thrombocytosis at diagnosis was seen in 52% (12/23). Twenty-one patients (91.3%) were treated with intravenous immunoglobulin and all except 1 received aspirin. Baseline echocardiograms were performed in 95.7% (22/23) and found to be abnormal in 3 (13.6%). Follow-up data was limited. Our literature review identified 79 publications with documented cases of Kawasaki disease in children from 22 countries across the African continent with a total of 1115 patients including those from this report. Only 153 reported cases, or 13.7%, are from sub-Saharan Africa.ConclusionsThis is the first publication on Kawasaki disease from Kenya and one of the largest reports from sub-Saharan Africa. It is the first to have a complete review of the number of published cases from the African continent. Challenges in the diagnosis and management of Kawasaki disease in many African countries include disease awareness, infectious confounders, access and cost of intravenous immunoglobulin, access to pediatric echocardiography and follow-up. Increasing awareness and health care resources are important for improving outcomes of Kawasaki disease in Africa.

Toxoplasma gondii Infection in Humans: A Comprehensive Approach Involving the General Population, HIV-Infected Patients and Intermediate-Duration Fever in the Canary Islands, Spain.

A prior investigation in 1993 identified a high seroprevalence of toxoplasmosis (63%) in the Canary Islands. This study aims to assess the current prevalence of the disease in diverse population groups. The study was based on a population-scale screening involving 273 residents utilizing T. gondii IgG ELISA and a 20 year retrospective study (1998-2018). This included AIDS/HIV outpatients (1357, of which 324 were residents), AIDS/HIV hospitalized patients (741) and patients with fever of intermediate duration (158). The seroprevalence in the resident population was 37%, with significant differences between islands. Among resident outpatients with AIDS/HIV, 14.2% had specific anti-T. gondii IgG, and three had anti-T. gondii IgM; however, IgG avidity testing indicated non-active infection. In patients hospitalized for AIDS/HIV, T. gondii causing encephalitis was detected in 2%. Among patients with fever of intermediate duration, 28.5% were positive for T. gondii IgG, and four also showed IgM positivity, although the infection was non-active. The study reveals a decrease in human toxoplasmosis over the past 30 years. However, the current seroprevalence, which stands at 37%, together with the substantial risk that T. gondii represents for immunocompromised individuals, highlights the need to implement preventive and control strategies to control the threat that this infection can pose to public health in the Canary Islands population.

Correlation of DNA load, genotyping, and clinical phenotype of Mycoplasma pneumoniae infection in children.

This study aimed to investigate the correlation between Mycoplasma pneumoniae (MP)-DNA load in the bronchoalveolar lavage fluid (BALF) of children with MP pneumonia (MPP) and its subtypes, relevant laboratory data, imaging, extrapulmonary complications in infected children, and its clinical significance in evaluating the disease. Children hospitalized with MPP at Tianjin Children's Hospital between December 2017 and December 2020 were selected for the study, excluding those with mixed viral, bacterial, and fungal infections. Children were divided into low- and high-load groups according to the MP DNA load in BALF using real-time quantitative fluorescence polymerase chain reaction (PCR). After a successful MP culture, positive specimens were subjected to PCR-Restriction fragment length polymorphism and Multiple-locus variable number tandem repeat analysis typing. Basic data, clinical information, laboratory data, and radiological results were collected from all children included in the study. The PI-I type dominated the different load groups. Children in the low-load group had more wheezing and shortness of breath; however, children in the high-load group had a higher length of hospitalization, maximum fever temperature, higher chills/chilliness, incidence of abdominal pain, and higher C-reactive protein (CRP), procalcitonin (PCT) and aspartate aminotransferase (AST) levels. Children in the high-load group were more likely to have imaging changes such as pleural effusion, and the incidence of respiratory infections and extrapulmonary complications was higher than that of those in the low-load group. We applied Spearman's correlation analysis to clarify the relationship between MP DNA load and the clinical severity of MPP. We found that MP DNA load was positively correlated with length of hospitalization, maximum fever temperature, CRP, PCT, Interleukin-6 (IL-6), and AST levels, and negatively correlated with fever and cough durations, white blood cell count (WBC), and proportion of monocytes (MONO). The degree of correlation was as follows: length of hospitalization > IL-6 > cough duration > AST > fever duration > PCT > WBC > proportion of MONO > maximum fever temperature > CRP levels. MP DNA load was not correlated with MP typing but was significantly correlated with the children's clinical phenotype. Therefore, the MP DNA load helps in the early diagnosis of infection and can better predict disease regression.

Development of a machine learning model and nomogram to predict seizures in children with COVID-19: a two-center study.

This study aimed to use machine learning to evaluate the risk factors of seizures and develop a model and nomogram to predict seizures in children with coronavirus disease 2019 (COVID-19). A total of 519 children with COVID-19 were assessed to develop predictive models using machine learning algorithms, including extreme gradient boosting (XGBoost), random forest (RF) and logistic regression (LR). The performance of the models was assessed using area under the receiver operating characteristic curve (AUC) values. Importance matrix plot and SHapley Additive exPlanations (SHAP) values were calculated to evaluate feature importance and to show the visualization results. The nomogram and clinical impact curve were used to validate the final model. Two hundred and seventeen children with COVID-19 had seizures. According to the AUC, the RF model performed the best. Based on the SHAP values, the top three most important variables in the RF model were neutrophil percentage, cough and fever duration. The nomogram and clinical impact curve also verified that the RF model possessed significant predictive value. Our research indicates that the RF model demonstrates excellent performance in predicting seizures, and our novel nomogram can facilitate clinical decision-making and potentially offer benefit for clinicians to prevent and treat seizures in children with COVID-19.

Performance of Febrile Infant Algorithms by Duration of Fever.

To analyze the performance of commonly used blood tests in febrile infants ≤90 days of age to identify patients at low risk for invasive bacterial infection (bacterial pathogen in blood or cerebrospinal fluid) by duration of fever. We conducted a secondary analysis of a prospective single-center registry that includes all consecutive infants ≤90 days of age with fever without a source evaluated at 1 pediatric emergency department between 2008 and 2021. We defined 3 groups based on caregiver-reported hours of fever (<2, 2-12, and ≥12) and analyzed the performance of the biomarkers and Pediatric Emergency Care Applied Research Network, American Academy of Pediatrics, and Step-by-Step clinical decision rules. We included 2411 infants; 76 (3.0%) were diagnosed with an invasive bacterial infection. The median duration of fever was 4 (interquartile range, 2-12) hours, with 633 (26.3%) patients with fever of <2 hours. The area under the curve was significantly lower in patients with <2 hours for absolute neutrophil count (0.562 vs 0.609 and 0.728) and C-reactive protein (0.568 vs 0.760 and 0.812), but not for procalcitonin (0.749 vs 0.780 and 0.773). Among well-appearing infants older than 21 days and negative urine dipstick with <2 hours of fever, procalcitonin ≥0.14 ng/mL showed a better sensitivity (100% with specificity 53.8%) than that of the combination of biomarkers of Step-by-Step (50.0% and 82.2%), and of the American Academy of Pediatrics and Pediatric Emergency Care Applied Research Network rules (83.3% and 58.3%), respectively. The performance of blood biomarkers, except for procalcitonin, in febrile young infants is lower in fever of very short duration, decreasing the accuracy of the clinical decision rules.

Evaluation of disease severity and prediction of severe cases in children hospitalized with influenza A (H1N1) infection during the post-COVID-19 era: a multicenter retrospective study

BackgroundThe rebound of influenza A (H1N1) infection in post-COVID-19 era recently attracted enormous attention due the rapidly increased number of pediatric hospitalizations and the changed characteristics compared to classical H1N1 infection in pre-COVID-19 era. This study aimed to evaluate the clinical characteristics and severity of children hospitalized with H1N1 infection during post-COVID-19 period, and to construct a novel prediction model for severe H1N1 infection.MethodsA total of 757 pediatric H1N1 inpatients from nine tertiary public hospitals in Yunnan and Shanghai, China, were retrospectively included, of which 431 patients diagnosed between February 2023 and July 2023 were divided into post-COVID-19 group, while the remaining 326 patients diagnosed between November 2018 and April 2019 were divided into pre-COVID-19 group. A 1:1 propensity-score matching (PSM) was adopted to balance demographic differences between pre- and post-COVID-19 groups, and then compared the severity across these two groups based on clinical and laboratory indicators. Additionally, a subgroup analysis in the original post-COVID-19 group (without PSM) was performed to investigate the independent risk factors for severe H1N1 infection in post-COIVD-19 era. Specifically, Least Absolute Shrinkage and Selection Operator (LASSO) regression was applied to select candidate predictors, and logistic regression was used to further identify independent risk factors, thus establishing a prediction model. Receiver operating characteristic (ROC) curve and calibration curve were utilized to assess discriminative capability and accuracy of the model, while decision curve analysis (DCA) was used to determine the clinical usefulness of the model.ResultsAfter PSM, the post-COVID-19 group showed longer fever duration, higher fever peak, more frequent cough and seizures, as well as higher levels of C-reactive protein (CRP), interleukin 6 (IL-6), IL-10, creatine kinase-MB (CK-MB) and fibrinogen, higher mechanical ventilation rate, longer length of hospital stay (LOS), as well as higher proportion of severe H1N1 infection (all P < 0.05), compared to the pre-COVID-19 group. Moreover, age, BMI, fever duration, leucocyte count, lymphocyte proportion, proportion of CD3+ T cells, tumor necrosis factor α (TNF-α), and IL-10 were confirmed to be independently associated with severe H1N1 infection in post-COVID-19 era. A prediction model integrating these above eight variables was established, and this model had good discrimination, accuracy, and clinical practicability.ConclusionsPediatric H1N1 infection during post-COVID-19 era showed a higher overall disease severity than the classical H1N1 infection in pre-COVID-19 period. Meanwhile, cough and seizures were more prominent in children with H1N1 infection during post-COVID-19 era. Clinicians should be aware of these changes in such patients in clinical work. Furthermore, a simple and practical prediction model was constructed and internally validated here, which showed a good performance for predicting severe H1N1 infection in post-COVID-19 era.Graphical

Systematic review on efficacy and safety of empirical versus pre-emptive antifungal therapy among children with febrile neutropenia reveals paucity of data.

Two approaches are used to manage invasive fungal disease (IFD) in febrile neutropenic patients viz. empirical therapy (without attempting to confirm the diagnosis), or pre-emptive therapy (after screening tests for IFD). This systematic review was undertaken to compare these approaches in children. We searched PubMed, EMBASE, Cochrane Library, Scopus, Web of Science, CINAHL, Clinical Trial Registries and grey literature, for randomized controlled trials (RCT) comparing empirical versus pre-emptive antifungal therapy in children with FN suspected to have IFD. We used the Cochrane Risk of bias 2 tool for quality assessment, and evaluated the certainty of evidence using the GRADE approach. We identified 7989 citations. Stepwise screening identified only one relevant RCT that administered empirical (n = 73) or pre-emptive (n = 76) antifungal therapy. There were no significant differences in all-cause mortality (RR 1.56, 95% CI: 0.46, 5.31), IFD mortality (RR 1.04, 95% CI:0.15, 7.20) and other clinically important outcomes such as duration of fever, duration of hospitalization and proportion requiring ICU admission. There were no safety data reported. The number of days of antifungal therapy was significantly lower in the pre-emptive therapy arm. The certainty of evidence for all outcomes was 'moderate'. This systematic review highlighted the paucity of data, comparing empirical versus pre-emptive antifungal therapy in children with febrile neutropenia having suspected invasive fungal disease. Data from a single included trial suggests that both approaches may be comparable in research settings. Robust trials are warranted to address the gap in existing knowledge about the optimal approach in clinical practice.

Clinical and nutritional correlates of bacterial diarrhoea aetiology in young children: a secondary cross-sectional analysis of the ABCD trial

ObjectiveThe objective was to assess the association between nutritional and clinical characteristics and quantitative PCR (qPCR)-diagnosis of bacterial diarrhoea in a multicentre cohort of children under 2 years of age...

Relationship between infection, physical and mental health and exercise habits of some Chinese residents after recovery from COVID-19

This study aimed to determine the infection status, exercise habits, anxiety levels, and sleep quality in Chinese residents who recovered from infection during the period of coronavirus disease 2019 (COVID-19) period. It also aimed to investigate the influencing factors of recovery status and aid in improving intervention measures for COVID-19 recovery. This study is a sub-study nested within a cross-sectional investigation of infection and physical and mental health among partially recovered residents in all 34 provincial areas of China during the COVID-19 pandemic. A total of 1 013 participants (374 males and 639 females) completed the study. Cardiopulmonary endurance was significantly lower after infection than before infection (p ​< ​0.001). Women (3.92 ​± ​4.97) exhibited higher levels of anxiety than men (3.33 ​± ​4.54, p ​= ​0.015). The sleep score was significantly higher after infection (8.27 ​± ​7.05) than before infection (4.17 ​± ​4.97, p ​< ​0.001). The active and regular exercise groups exhibited significantly shorter durations of fever than the sedentary and irregular groups (p ​= ​0.033; p ​= ​0.021). Additionally, the active group demonstrated significantly fewer recovery days ([7.32 ​± ​3.24] days) than the sedentary group ([7.66 ​± ​3.06] days, p ​= ​0.035). We found a correlation between age and the recovery time of symptoms after COVID-19. We noted that a greater number of symptoms corresponded to poorer cardiopulmonary fitness and sleep quality. Individuals who engage in sedentary lifestyles and irregular exercise regimens generally require prolonged recovery periods. Therefore, incorporating moderate exercise, psychological support, sleep hygiene and other health interventions into post-COVID-19 recovery measures is imperative.