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Objective:To investigate the changes in epidemiological characteristics of common respiratory pathogens in children in Beijing during COVID-19 epidemic.Methods:A total of 9 728 serum samples were collected from cases of acute respiratory infections in Beijing Children′s Hospital from January 2020 to December 2020. Indirect immunofluorescence antibody test was performed to detect IgM antibodies against eight common respiratory pathogens and the test results were statistically analyzed. The eight common respiratory pathogens were influenza virus A (FluA), influenza virus B (FluB), respiratory syncytial virus (RSV), adenovirus (ADV), parainfluenza virus (PIV), Mycoplasma pneumoniae ( Mp), Chlamydia pneumoniae ( Cp) and Legionella pneumophila ( Lp). Results:The detection rate of respiratory pathogens in 9 728 cases was 41.71% (4 058/9 728) and respiratory viruses (FluA, FluB, RSV, ADV and PIV) accounted for 46.18%(2 343/5 074)of all detected pathogens. Mp, FluB and FluA accounted for 84.73%(4 299/5 074)of all detected pathogens, and the detection rates were 24.27% (2 361/9 728), 11.49% (1 118/9 728) and 8.43% (820/9 728), respectively. There were 846 cases positive for two kinds of pathogens, and the most common co-infection was Mp and FluB. The detection rates in male and female were 37.56% (2 089/5 562) and 47.26% (1 969/4 166), respectively. There were significant differences in the total detection rate and the positive rates of PIV and Mp between different sexes ( P<0.05). The detection rate in school-age children (6-12 years old) was the highest (52.26%, 1 535/2 937). The detection rates of respiratory pathogens in different months ranged from 30.12% (203/674) to 49.81% (268/538) with higher rates in autumn and winter [42.45% (1 304/3 072) and 43.29% (1 618/3 738)]. The detection rates of FluA and FluB were higher in summer [11.46% (195/1 701)] and winter [14.63% (547/3738)], respectively. Most of RSV infection occurred in summer [1.35% (23/1 701)], and Mp could be detected all year round, especially in winter and spring [27.21% (1 017/3 738) and 25.64% (312/1 217)]. The detection rate of respiratory pathogens in outpatient group was higher than that in inpatient group [46.48% (1 583/3 406) vs 39.15% (2 475/6 322)]. The detection rate in severe cases was 26.10% (71/272). The detection rates of total pathogens, FluB and Mp were higher in outpatients than in inpatients and the differences were statistically significant ( P<0.05). The detection rates of FluA, PIV and ADV were higher in inpatients than in outpatients and the differences were statistically significant ( P<0.05). The detection rates of total pathogens, FluB and Mp in mild cases were significantly higher than those in severe cases and the differences were statistically significant ( P<0.05). The detection rate of RSV in severe cases was significantly higher than that in mild cases and the difference was statistically significant ( P<0.05). Conclusions:The protective measures taken during the period of regular prevention and control of COVID-19 epidemic could better prevent the spread of respiratory viruses, having a certain impact on the population susceptible to respiratory pathogens and typical seasonal patterns, but had little effect on the prevention and control of Mp. New protective measures needed to be studied to prevent Mp infection in children during epidemical season.
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Objective:To investigate the clinical significance and the diagnostic value of detecting kidney injury biomarkers in urine and serum of children with Henoch-Sch?nlein purpura nephritis (HSPN).Methods:A total of 216 children with untreated HSPN, who were admitted in Beijing Children′s Hospital of Capital Medical University from January 2018 to December 2019, were recruited in this retrospective study. Two hundred and sixteen healthy children were selected as the healthy control group. We determined the levels of six biomarkers of kidney injury, including transferrin (TRF), immunoglobulin (IgG), microalbumin (mAlb), alpha-1 microglobulin (α1-MG), N-acetyl-β-D-glucosaminidase (NAG) in urine and cystatin C (CysC) in serum. The data from the two groups were analyzed, the diagnostic value of each biomarker was evaluated and a logistic regression model for the diagnosis of HSPN was established. In addition, 60 children with HSPN, who were admitted to our hospital from November 2021 to February 2022 and 60 healthy children, who underwent healthy check up in the same period were included to validate the diagnostic performance of the established logistic model. Receiver operating characteristic (ROC) curve was used to analyze the diagnostic value of each biomarker.Results:The urine levels of TRF, IgG, mAlb, α1-MG and NAG and the serum level of CysC were significantly higher in the HSPN group than those in healthy control group (all P<0.05). The area under the ROC curve (AUC) of TRF, IgG, mAlb, α1-MG, NAG and the serum levels of CysC was 0.749, 0.719, 0.810, 0.648, 0.828 and 0.790 (all P<0.05). Logistics regression analysis showed that IgG, mAlb and TRF were the three diagnostic determinants of HSPN ( OR=1.083, 1.105, 1.704,all P<0.001), and the AUC was 0.916 of the established logistic model based on these three biomarkers. The sensitivity was 87.4% and the specificity reached 96.2%. The logistic model was validated by independent cohorts, and the AUC was 0.973, the sensitivity was 95.0% and the specificity was 98.3%. Conclusions:The levels of urine TRF, IgG, mAlb, α1-MG, NAG and serum CysC were higher in children with HSPN. The established logistic regression model based on three biomarkers including IgG, mAlb and TRF in this study has satisfactory clinical value in diagnosing HSPN in children.
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Objective To investigate the prediction by intravascular ultrasound (IVUS) with monocyte to high density lipoprotein-cholesterol (HDL-C) ratio (MHR) of 12-month prognosis in patients with intermediate non-left main coronary lesions after percutaneous coronary intervention (PCI). Methods Patients with intermediate non-left main coronary lesions diagnosed by coronary angiography were tested of monocyte counts and HDL-C levels at admission with MHRs calculated. IVUS was used to examine plaque stability in target lesions. Patients were dviided into stable plaque group (n=44) and unstable plaque group (n=140) according to the IVUS results. PCI was then operated in patients with unstable plaque or with minimum lumen area<4 mm2. The major adverse cardiovascular events (MACE) were recorded during the follow-up period of 12 months after PCI. Results MHR was significantly higher in unstable plaque group than that in stable plaque group[(22.6±8.4) vs.(14.1±7.2),P<0.001]. Receiver-operating characteristic (ROC) analysis revealed that an MHR cut-off of 16.05 had 74.2％ sensitivity and 77.0％ specificity for prediction of 12-month MACE after PCI (AUC 0.78, 95％ CI 0.71–0.85, P<0.001). Besides, unstable plaque with MHR over 16.05 was an independent risk factor for 12-month MACE after PCI (adjusted HR 3.26, 95％ CI 2.48–4.14, P=0.020). Conclusions IVUS combined with MHR is a valuable index predicting the prognosiso f patients with intermediate non-left main coronary lesions who underwent PCI.
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Objective To explore the diagnostic value of five infection markers in bloodstream infection.Methods Randomly selected 110 bloodstream infection patients with positive blood cultures and 30 bacterial infection patients with negative blood cultures.Blood was simultaneously drawn with blood cultures;the complete blood count and C-reactive protein (CRP) levels were measured.The white blood cell count (WBC),neutrophil count (NEU),lymphocyte count (LMY),CRP level and neutrophil-lymphocyte count ratio (NLCR) were compared between the two groups.Results The levels of WBC,NEU,NLCR and CRP in bloodstream infection group were significantly higher than those in control group (P＜0.05),while LYM was significantly lower than that in control group (P＜ 0.05).Among these five infection markers,the area under the receiver operating characteristic curve (ROC-AUC) was the highest for NLCR (0.808) and LMY (0.756);when the cutoff value for NLCR was ＞9.33,sensitivity was 63.6％,specificity was 93.3％;and the cutoff value for LYM was ≤0.97,sensitivity was 58.2％,specificity was 86.7％.Furthermore,the NLCR of patients with gram-negative bloodstream infection was higher than those in patients with gram-positive bloodstream infection.NLCR showed important clinical significance in distinguishing strains of different bloodstream infections.Conclusions NLCR is the better predictors than routine parameters in diagnosing bloodstream infection.