Comparison of the clinical characteristics in parents and their children in a series of family clustered Mycoplasma pneumoniae infections.

BACKGROUND: Mycoplasma pneumoniae infections have increased in China recently, causing some evidence of familial clustering. The purpose of this study was to compare the clinical features of parents and children in cases of familial clustering of Mycoplasma pneumoniae infection. METHODS: A retrospective analysis was performed on the cases of familial clustering of Mycoplasma pneumoniae infection, and the clinical characteristics of parents and children were compared. RESULTS: We identified 63 families, of these, 57 (65.5%) adults and 65 (94.2%) children required hospitalization. Fifty-seven adults (mean age 35.1 ± 4.6 years, 80.7% female) and 55 children (mean age 6.3 ± 3.9 years, 54.5% female) were included in the analysis. The incidence of mycoplasma infection in adults had increased gradually over the past year, while the rate in children had spiked sharply since June 2023. The clinical symptoms were similar in the two groups, mainly fever and cough. The peak temperature of children was higher than that of adults (39.1 ± 0.7℃ vs 38.6 ± 0.7℃, p = 0.004). Elevated lactate dehydrogenase was more common in children than in adults (77.8% vs 11.3%, p < 0.001). Bronchial pneumonia and bilateral involvement were more common in children, while adults usually had unilateral involvement. Three (60%) adults and 21 (52.5%) children were macrolide-resistant Mycoplasma pneumoniae infected. Children were more likely to be co-infected (65.5% vs 22.8%, p < .001). Macrolides were used in most children and quinolones were used in most adults. Ten (18.2%) children were diagnosed with severe Mycoplasma pneumoniae pneumonia, whereas all adults had mild disease. Children had a significantly longer fever duration than adults ((5.6 ± 2.2) days vs (4.1 ± 2.2) days, p = 0.002). No patient required mechanical ventilation or died. CONCLUSIONS: Mycoplasma pneumoniae infection shows a familial clustering epidemic trend at the turn of summer and autumn, with different clinical characteristics between parents and children.

Energy field-based lane changing behavior interaction model and risk evaluation in the weaving section of expressway.

OBJECTIVE: With the development of intelligent driving assistance systems, the evaluation of driving behavior risk has shifted from traditional single-vehicle studies to multi-vehicle studies. This study aimed to investigate the interaction mechanism between vehicles and to study the microscopic laws of traffic flow operation. METHODS: Firstly, the concept of "driving interaction field" was proposed. The virtual interaction quality and distance were used to define the driving interaction field. The interaction angle distinguished the vehicle interaction between different lanes. Then, the risk mechanism in the interaction process was analyzed by driving risk index. Corresponding thresholds of 50% and 85% quantile values were determined. Finally, the process of the lane-changing simulation experiments was divided into three phases (preparation, execution and adjustment). RESULTS: The driving risk index of the execution phase was larger than the other phases. Meanwhile, the comparison with the classical driving risk indexes revealed that the proposed index was more accurate and intuitive in describing the interaction risks. CONCLUSIONS: The driving interaction model proposed in this study quantified the overall environmental pressure on the vehicle. It overcomes the previous limitation of kinetic interaction parameters. The research provides a new idea for the ITS and autonomous driving systems, contributing to the enhancement of traffic safety and efficiency.

Long sleep duration is associated with abdominal aortic calcification among male adults with chronic kidney disease: NHANES 2013-2014.

There are no studies exploring the correlation between sleep duration and abdominal aortic calcification (AAC). This study aims to investigate this relationship and its significance. Additionally, given the higher prevalence of sleep disorders and AAC in patients with chronic kidney disease (CKD), we conducted further studies in this population. We analyzed data from the National Health and Nutrition Examination Survey (NHANES) 2013-2014. Sleep duration was assessed by a sleep questionnaire and categorized into 2-5, 6-8, and ≥ 9 h. The AAC-24 score is determined using the Kauppila scoring system and used for AAC assessment. Multivariable linear and logistic regression analysis were used to explore the relationship between sleep duration and AAC. Among the 2,996 participants, 14.29% reported nightly short sleep (2-5 h), 77.64% reported intermediate sleep (6-8 h), and 8.08% reported long sleep (≥ 9 h). After adjusting for potential confounding factors, among male participants with CKD, long sleep (≥ 9 h) significantly increased AAC-24 scores compared with intermediate sleep (6-8 h) (ß: 2.12; 95% CI: 0.75, 3.50), and the risk of severe AAC (SAAC) was increased by 1.55 times (OR: 2.55; 95% CI: 1.02, 6.36). And among female CKD and non-CKD participants, sleep duration was not associated with AAC. Long sleep duration increases the risk of AAC among male adults with CKD. Prospective studies are needed to confirm this finding.

Bioluminescence-optogenetics-mediated gene therapy in a sleep-disordered breathing mouse model.

Obstructive sleep apnea (OSA) incurs a huge individual, societal, and economic burden. Specific and selective targeting of hypoglossal motor neurons could be an effective means to treat OSA. Bioluminescent-optogenetics (BL-OG) is a novel genetic regulatory approach in which luminopsins, fusion proteins of light-generating luciferase and light-sensing ion channels, increase neuronal excitability when exposed to a suitable substrate. Here we develop and validate the feasibility of BL-OG for sleep-disordered breathing (SDB). Upon confirming that diet-induced obese mice represent an excellent SDB model, we employed a method of targeting the hypoglossal nucleus (12 N) by peripherally injecting retrogradely transported rAAV2/Retro. With AAV transduction, the eLMO3 protein is expressed in hypoglossal motor neurons (HMN); administration of CTZ results in production of bioluminescence that in turn activates the tethered channelrhodopsin, leading to an increase in the firing of HMN and a 2.7 ± 0.8-fold increase in phasic activity of the genioglossus muscle, a 7.6 ± 1.8-fold increase in tonic activity, and improvements in hypoventilation and apnea index without impacting sleep structure. This is therefore the first study to leverage the rAAV2/Retro vector to execute the BL-OG approach in SDB, which amplified genioglossus muscle discharge activity and increased airflow in mice after activation. This study marks the pioneering utilization of BL-OG in SDB research.

Thyroid dysfunction in the wake of Omicron: understanding its role in COVID-19 severity and mortality.

Purpose: SARS-CoV-2 can invade the thyroid gland. This study was to delineate the risk of thyroid dysfunction amidst the prevalence of the Omicron variant, and to investigate the correlation between thyroid function and Coronavirus disease 2019 (COVID-19) outcomes. The study also aimed to ascertain whether thyroid dysfunction persisted during COVID-19 recovery phase. Methods: This was a retrospective cohort study. COVID-19 patients from the Renmin Hospital of Wuhan University, China during the epidemic of Omicron variants were included, and their thyroid function were analyzed in groups. Results: A history of thyroid disease was not associated with COVID-19 outcomes. COVID-19 can lead to a bimodal distribution of thyroid dysfunction. The severity of COVID-19 was inversely proportional to the levels of thyroid- stimulating hormone (TSH), free triiodothyronine (FT3) and free thyroxine (FT4), leading to a higher prevalence of thyroid dysfunction. Severe COVID-19 was a risk factor for euthyroid sick syndrome (ESS) (OR=22.5, 95% CI, 12.1 - 45.6). Neutrophil to lymphocyte ratio mediated the association between severe COVID-19 and ESS (mediation effect ratio = 41.3%, p < 0.001). ESS and decreased indicators of thyroid function were associated with COVID-19 mortality, while high levels of FT3 and FT4 exhibited a protective effect against death. This effect was more significant in women (p < 0.05). During the recovery period, hyperthyroidism was quite uncommon, while a small percentage of individuals (7.7%) continued to exhibit hypothyroidism. Conclusion: COVID-19 severity was linked to thyroid dysfunction. Severe COVID-19 increased the risk of ESS, which was associated with COVID-19 mortality. Post-recovery, hyperthyroidism was rare, but some individuals continued to have hypothyroidism.