Objective:To analyze the drug resistance status and related risk factors in elderly patients with pulmonary tuberculosis,and to construct and validate a drug resistance risk prediction model for elderly pulmonary tuberculosis patients,providing evidence for early clinical identification of high-risk populations.Methods:A retrospective study was conducted,consecutively enrolling 315 pulmonary tuberculosis patients aged ≥60 years from January 2019 to December 2021.Based on drug susceptibility test results,patients were divided into drug-resistant group(85 cases)and drug-sensitive group(230 cases).Data on demographic characteristics,clinical manifestations,comorbidities,imaging features,and previous treatment history were collected.Univariate and multivariate logistic regression analyses were performed to identify drug resistance-related factors,and a prediction model was constructed accordingly.The model was internally validated using the concordance index(C-index)and Bootstrap method.Results:Among 315 elderly pulmonary tuberculosis patients,the drug resistance rate was 26.98％,predominantly mono-resistance(48.24％)and multidrug-resistance(28.24％).Multivariate logistic regression analysis showed that previous anti-tuberculosis treatment history[OR=4.537,95％CI(1.962-10.498),P=0.005],diabetes mellitus[OR=3.286,95％CI(1.547-6.979),P=0.002],pulmonary cavitation[OR=4.158,95％CI(1.926-8.973),P＜0.001],pleural effusion[OR=2.563,95％CI(1.218-5.390),P=0.013],and tracheobronchial tuberculosis[OR=2.819,95％CI(1.352-5.876),P=0.006]were independent risk factors for drug resistance in elderly pulmonary tuberculosis.The prediction model constructed based on these factors had a C-index of 0.815(95％CI:0.762-0.868).Conclusion:The drug resistance rate is high among elderly pulmonary tuberculosis patients.Previous anti-tuberculosis treatment history,diabetes mellitus,pulmonary cavitation,pleural effusion,and tracheobronchial tuberculosis are independent risk factors for drug resistance in elderly pulmonary tuberculosis.The prediction model constructed based on these factors has good predictive value for identifying high-risk populations,which is helpful for early clinical intervention and individualized treatment strategy formulation.

Objective:To analyze the drug resistance status and related risk factors in elderly patients with pulmonary tuberculosis,and to construct and validate a drug resistance risk prediction model for elderly pulmonary tuberculosis patients,providing evidence for early clinical identification of high-risk populations.Methods:A retrospective study was conducted,consecutively enrolling 315 pulmonary tuberculosis patients aged ≥60 years from January 2019 to December 2021.Based on drug susceptibility test results,patients were divided into drug-resistant group(85 cases)and drug-sensitive group(230 cases).Data on demographic characteristics,clinical manifestations,comorbidities,imaging features,and previous treatment history were collected.Univariate and multivariate logistic regression analyses were performed to identify drug resistance-related factors,and a prediction model was constructed accordingly.The model was internally validated using the concordance index(C-index)and Bootstrap method.Results:Among 315 elderly pulmonary tuberculosis patients,the drug resistance rate was 26.98％,predominantly mono-resistance(48.24％)and multidrug-resistance(28.24％).Multivariate logistic regression analysis showed that previous anti-tuberculosis treatment history[OR=4.537,95％CI(1.962-10.498),P=0.005],diabetes mellitus[OR=3.286,95％CI(1.547-6.979),P=0.002],pulmonary cavitation[OR=4.158,95％CI(1.926-8.973),P＜0.001],pleural effusion[OR=2.563,95％CI(1.218-5.390),P=0.013],and tracheobronchial tuberculosis[OR=2.819,95％CI(1.352-5.876),P=0.006]were independent risk factors for drug resistance in elderly pulmonary tuberculosis.The prediction model constructed based on these factors had a C-index of 0.815(95％CI:0.762-0.868).Conclusion:The drug resistance rate is high among elderly pulmonary tuberculosis patients.Previous anti-tuberculosis treatment history,diabetes mellitus,pulmonary cavitation,pleural effusion,and tracheobronchial tuberculosis are independent risk factors for drug resistance in elderly pulmonary tuberculosis.The prediction model constructed based on these factors has good predictive value for identifying high-risk populations,which is helpful for early clinical intervention and individualized treatment strategy formulation.

Objective To investigate the attributable risk(AR)of Acinetobacter baumannii(AB)infection in criti-cally ill patients.Methods A multicenter retrospective cohort study was conducted among adult patients in inten-sive care unit(ICU).Patients with AB isolated from sterile body fluid and confirmed with AB infection in each cen-ter were selected as the infected group.According to the matching criteria that patients should be from the same pe-riod,in the same ICU,as well as with similar APACHE Ⅱ score(±5 points)and primary diagnosis,patients who did not infect with AB were selected as the non-infected group in a 1:2 ratio.The AR was calculated.Results The in-hospital mortality of patients with AB infection in sterile body fluid was 33.3％,and that of non-infected group was 23.1％,with no statistically significant difference between the two groups(P=0.069).The AR was 10.2％(95％CI:-2.3％-22.8％).There is no statistically significant difference in mortality between non-infected pa-tients and infected patients from whose blood,cerebrospinal fluid and other specimen sources AB were isolated(P＞0.05).After infected with AB,critically ill patients with the major diagnosis of pulmonary infection had the high-est AR.There was no statistically significant difference in mortality between patients in the infected and non-infec-ted groups(P＞0.05),or between other diagnostic classifications.Conclusion The prognosis of AB infection in critically ill patients is highly overestimated,but active healthcare-associated infection control for AB in the ICU should still be carried out.

Objective To evaluate the bioequivalence and safety of ibuprofen arginine granules test and reference formulations in Chinese healthy volunteers under fasting and postprandial conditions,and to provide evidence for consistency evaluation and clinical application of the drugs.Methods A single-center,single-dose,randomized,open-label,fasting and postprandial,two-period,two-crossover trial design was used.Twenty-four healthy Chinese volunteers were enrolled in the fasting and postprandial trial,respectively.The test preparation and reference preparation of ibuprofen arginine granules 0.4 g were taken orally in a randomized crossover single dose.Data analysis was performed using Phoenix WinNonlin 8.3.Results In the fasting group,the main pharmacokinetic parameters of ibuprofen in plasma after administration of the test and reference formulations of ibuprofen arginine granules were as follows:Cmax were(51.07±7.43)and(50.10±7.64)μg·mL-1;AUC0-,were(122.78±20.62)and(119.94±21.03)μg·h·mL-1;AUC0_∞ were(125.84±21.31)and(122.64±21.87)μg·h·mL-1,respectively.In the postprandial group,the main pharmacokinetic parameters of ibuprofen in plasma after administration of the test and reference formulations of ibuprofen arginine granules were as follows:Cmax were(17.47±3.56)and(17.89±4.47)μg·mL-1;AUC0-twere(114.33±17.12)and(122.13±29.46)μg·h·mL-1;AUC0_∞ were(134.04±36.72)and(133.96±30.35)μg·h·mL-1,respectively.The 90％confidence intervals of the geometric mean ratio of the two preparations were as follows:Cmax 97.96％-106.02％,AUC0_t 98.77％-105.14％,AUC0-∞ 99.34％-105.19％in fasting group;in postprandial group,Cmax was 92.37％-103.05％,AUC0-t was 93.31％-99.56％,AUC0-∞ was 93.89％-102.91％.Conclusion The test preparation and reference preparation of ibuprofen arginine granules in this study are bioequivalent in healthy adult Chinese volunteers.

Further evidence is needed to explore the impact of high-altitude environments on the neurologic function of neonates.Non-invasive techniques such as cerebral near-infrared spectroscopy and amplitude-integrated electroencephalography can provide data on cerebral oxygenation and brain electrical activity.This study will conduct multiple cerebral near-infrared spectroscopy and amplitude-integrated electroencephalography monitoring sessions at various time points within the first 3 days postpartum for healthy full-term neonates at different altitudes.The obtained data on cerebral oxygenation and brain electrical activity will be compared between different altitudes,and corresponding reference ranges will be established.The study involves 6 participating centers in the Chinese High Altitude Neonatal Medicine Alliance,with altitude gradients divided into 4 categories:800 m,1 900 m,2 400 m,and 3 500 m,with an anticipated sample size of 170 neonates per altitude gradient.This multicenter prospective cohort study aims to provide evidence supporting the impact of high-altitude environments on early brain function and metabolism in neonates.[Chinese Journal of Contemporary Pediatrics,2024,26(4):403-409]

Objective To investigate the amplitude-integrated electroencephalography(aEEG)monitoring results of hospitalized neonates in plateau areas.Methods A retrospective analysis was conducted on 5 945 neonates who were admitted to the Department of Neonatology,Kunming Children's Hospital,and received aEEG monitoring from January 2020 to December 2022.According to the aEEG monitoring results,they were divided into a normal aEEG group and an abnormal aEEG group.The incidence rate of aEEG abnormalities was analyzed in neonates with various systemic diseases,as well as the manifestations of aEEG abnormalities and the consistency between aEEG abnormalities and clinical abnormalities.Results Among the 5 945 neonates,the aEEG abnormality rate was 19.28%(1 146/5 945),with an abnormality rate of 29.58%(906/3 063)in critically ill neonates and 8.33%(240/2 882)in non-critically ill neonates(P<0.05).The children with inherited metabolic diseases showed the highest aEEG abnormality rate of 60.77%(79/130),followed by those with central nervous system disorders[42.22%(76/180)]and preterm infants[35.53%(108/304)].Compared with the normal aEEG group,the abnormal aEEG group had significantly lower age and gestational age,as well as a significantly lower birth weight of preterm infants(P<0.05).Among the 1 146 neonates with aEEG abnormalities,the main types of aEEG abnormalities were sleep cycle disorders in 597 neonates(52.09%),background activity abnormalities in 294 neonates(25.65%),and epileptiform activity in 255 neonates(22.25%),and there were 902 neonates(78.71%)with abnormal clinical manifestations.The sensitivity and specificity of aEEG monitoring for brain function abnormalities were 33.51%and 92.50%,respectively.Conclusions In plateau areas,there is a relatively high rate of aEEG abnormalities among hospitalized neonates,particularly in critically ill neonates and those with smaller gestational ages and younger ages,suggesting a high risk of brain injury.Therefore,routine aEEG monitoring for the hospitalized neonates can help with the early detection of brain function abnormalities,the decision-making in treatment,and the formulation of brain protection strategies.

A 5-year-old girl was admitted due to one episode of melena and one episode of hematemesis.Upon admission,gastroscopy revealed esophageal and gastric varices.Abdominal CT scan,MRI,and color Doppler ultrasound suggested cirrhosis,intrahepatic bile duct dilation,and bilateral kidney enlargement.Genetic testing identified compound heterozygous mutations in the PKHD1 gene:c.2264C>T(p.Pro755Leu)and c.1886T>C(p.Val629Ala).The c.2264C>T(p.Pro755Leu)mutation is a known pathogenic variant with previous reports,while c.1886T>C(p.Val629Ala)is a novel mutation predicted to have pathogenic potential according to Mutation Taster and PolyPhen2.The child was diagnosed with autosomal recessive polycystic kidney disease.In children presenting with gastrointestinal bleeding without obvious causes,particularly those with liver or kidney disease,consideration should be given to the possibility of autosomal recessive polycystic kidney disease,and genetic testing should be conducted for definitive diagnosis when necessary.

Root rot severely restricts the sustainable development of Astragalus membranaceus var. mongholicus (AMM) industry. Resistance breeding is an economical and environmentally safe way to manage the disease and its key lies in the obtaining of resistance indicators. This study aimed to quickly and accurately screen the resistance-related (RR) metabolites so as to provide reference for the screening of indicators of AMM breeding for resistance. LC-MS-based targeted metabolomics and real-time quantitative PCR technology were employed, in combination with multivariate statistical analysis, in analyzing the dynamic changes of phenylpropanoid metabolites in AMM in response to root rot pathogen Fusarium solani (FS) infection and identifying the differential metabolites. The LC-MS method established showed high sensitivity; each metabolite had a good linear relationship (R² ≥ 0.968 9) in the corresponding linear range of the respective standard curve; the recoveries and the relative standard deviations (RSDs) (n = 6) ranged from 70% to 107% and from 1.2% to 9.9%, respectively. Obvious disturbances were observed in the changes of the targeted metabolites in AMM infected by FS. These metabolites, compared with the mock-inoculated (CK) group, showed different up or down regulation with time series. Calycosin-7-O-β-D-glucoside, ononin, calycosin and formononetin were identified as differential metabolites, and they all belong to flavonoids. The first three compounds were significantly negatively correlated (r ≤ -0.97, P < 0.05) with the content of FS in the root of AMM. As potential RR metabolites, they are helpful in obtaining promising resistance indicators for AMM against FS infection.

italic>Astragalus is a commonly used Chinese medicinal material in traditional Chinese medicine (TCM), and with the increase of planting area in recent years, the damage of Astragalus root rot has worsened year by year, which seriously affecting its quality and yield. Fusarium oxysporum is one of the main pathogens causing root rot in astragalus. In this study, UPLC-Q-TOF-MS based metabolomic approach combined with multivariate statistical analysis were used to analyze the metabolite changes of Astragalus in response to F. oxysporum infection. The results showed that 62 metabolites in the Astragalus had significant changes after inoculation of F. oxysporum. Polar metabolites included 40 flavonoids, 8 saponins, 2 nucleosides, 1 vitamin, 1 organic acid, 1 amino acid; while lipid metabolites included 3 fatty acids, 1 diradylglycerols, 2 lysophosphatidylcholine, 1 lysophosphatidylglycerol, 1 phosphatidylinositol, 1 sterol lipid. Among these differential metabolites, the relative content of flavonoids, vitamin B₂, tryptophan and salicylic acid were increased, while the relative content of saponins were decreased. Correlation analysis showed that the flavonoids were positively correlated with each other, and positively correlated with most lipids, but negatively correlated with most saponins. In addition, studies have shown that F. oxysporum infection is not an influencing factor for the generation of malonyl substitution of flavonoid. This study elucidates the effect of F. oxysporum infection on Astragalus from the perspective of plant metabolism, which provides a basis for exploring the interaction mechanism between the Astragalus and F. oxysporum and further promoting molecular breeding.

BACKGROUND: Delivery room resuscitation assists preterm infants, especially extremely preterm infants (EPI) and extremely low birth weight infants (ELBWI), in breathing support, while it potentially exerts a negative impact on the lungs and outcomes of preterm infants. This study aimed to assess delivery room resuscitation and discharge outcomes of EPI and ELBWI in China. METHODS: The clinical data of EPI (gestational age [GA] <28 weeks) and ELBWI (birth weight [BW] <1000 g), admitted within 72 h of birth in 33 neonatal intensive care units from five provinces and cities in North China between 2017 and 2018, were analyzed. The primary outcomes were delivery room resuscitation and risk factors for delivery room intubation (DRI). The secondary outcomes were survival rates, incidence of bronchopulmonary dysplasia (BPD), and risk factors for BPD. RESULTS: A cohort of 952 preterm infants were enrolled. The incidence of DRI, chest compressions, and administration of epinephrine was 55.9% (532/952), 12.5% (119/952), and 7.0% (67/952), respectively. Multivariate analysis revealed that the risk factors for DRI were GA <28 weeks (odds ratio [OR], 3.147; 95% confidence interval [CI], 2.082-4.755), BW <1000 g (OR, 2.240; 95% CI, 1.606-3.125), and antepartum infection (OR, 1.429; 95% CI, 1.044-1.956). The survival rate was 65.9% (627/952) and was dependent on GA. The rate of BPD was 29.3% (181/627). Multivariate analysis showed that the risk factors for BPD were male (OR, 1.603; 95% CI, 1.061-2.424), DRI (OR, 2.094; 95% CI, 1.328-3.303), respiratory distress syndrome exposed to ≥2 doses of pulmonary surfactants (PS; OR, 2.700; 95% CI, 1.679-4.343), and mechanical ventilation ≥7 days (OR, 4.358; 95% CI, 2.777-6.837). However, a larger BW (OR, 0.998; 95% CI, 0.996-0.999), antenatal steroid (OR, 0.577; 95% CI, 0.379-0.880), and PS use in the delivery room (OR, 0.273; 95% CI, 0.160-0.467) were preventive factors for BPD (all P < 0.05). CONCLUSION Improving delivery room resuscitation and management of respiratory complications are imperative during early management of the health of EPI and ELBWI.
Birth Weight ; Bronchopulmonary Dysplasia ; China/epidemiology* ; Delivery Rooms ; Female ; Gestational Age ; Humans ; Infant ; Infant, Extremely Low Birth Weight ; Infant, Extremely Premature ; Infant, Newborn ; Male ; Pregnancy