OBJECTIVES: To construct a Z-score regression model for coronary artery diameter based on echocardiographic data from children in Sichuan Province and to establish a Z-score calculation formula. METHODS: A total of 744 healthy children who underwent physical examinations at Sichuan Provincial People's Hospital from January 2020 to December 2022 were selected as the modeling group, while 251 children diagnosed with Kawasaki disease at the same hospital from January 2018 to December 2022 were selected as the validation group. Pearson correlation analysis was conducted to analyze the relationships between coronary artery diameter values and age, height, weight, and body surface area. A regression model was constructed using function transformation to identify the optimal regression model and establish the Z-score calculation formula, which was then validated. RESULTS: The Pearson correlation analysis showed that the correlation coefficients for the diameters of the left main coronary artery, left anterior descending artery, left circumflex artery, and right coronary artery with body surface area were 0.815, 0.793, 0.704, and 0.802, respectively (P<0.05). Among the constructed regression models, the power function regression model demonstrated the best performance and was therefore chosen as the optimal model for establishing the Z-score calculation formula. Based on this Z-score calculation formula, the detection rate of coronary artery lesions was found to be 21.5% (54/251), which was higher than the detection rate based on absolute values of coronary artery diameter. Notably, in the left anterior descending and left circumflex arteries, the detection rate of coronary artery lesions using this Z-score calculation formula was higher than that of previous classic Z-score calculation formulas. CONCLUSIONS The Z-score calculation formula established based on the power function regression model has a higher detection rate for coronary artery lesions, providing a strong reference for clinicians, particularly in assessing coronary artery lesions in children with Kawasaki disease.
Humans ; Male ; Female ; Child, Preschool ; Child ; Coronary Artery Disease/diagnostic imaging* ; Infant ; Mucocutaneous Lymph Node Syndrome ; Regression Analysis ; Coronary Vessels/diagnostic imaging* ; Echocardiography ; Adolescent

The looming stimulus-evoked flight response to approaching predators is a defensive behavior in most animals. However, how looming stimuli are detected in the retina and transmitted to the brain remains unclear. Here, we report that a group of GABAergic retinal ganglion cells (RGCs) projecting to the superior colliculus (SC) transmit looming signals from the retina to the brain, mediating the looming-evoked flight behavior by releasing GABA. GAD2-Cre and vGAT-Cre transgenic mice were used in combination with Cre-activated anterograde or retrograde tracer viruses to map the inputs to specific GABAergic RGC circuits. Optogenetic technology was used to assess the function of SC-projecting GABAergic RGCs (scpgRGCs) in the SC. FDIO-DTA (Flp-dependent Double-Floxed Inverted Open reading frame-Diphtheria toxin) combined with the FLP (Florfenicol, Lincomycin & Prednisolone) approach was used to ablate or silence scpgRGCs. In the mouse retina, GABAergic RGCs project to different brain areas, including the SC. ScpgRGCs are monosynaptically connected to parvalbumin-positive SC neurons known to be required for the looming-evoked flight response. Optogenetic activation of scpgRGCs triggers GABA-mediated inhibition in SC neurons. Ablation or silencing of scpgRGCs compromises looming-evoked flight responses without affecting image-forming functions. Our study reveals that scpgRGCs control the looming-evoked flight response by regulating SC neurons via GABA, providing novel insight into the regulation of innate defensive behaviors.
Animals ; Superior Colliculi/physiology* ; Retinal Ganglion Cells/physiology* ; GABAergic Neurons/physiology* ; Mice, Transgenic ; Mice ; Optogenetics ; Visual Pathways/physiology* ; Mice, Inbred C57BL ; Photic Stimulation/methods* ; gamma-Aminobutyric Acid/metabolism* ; Male

To realize the non-destructive and rapid origin discrimination of Poria cocos in batches, this study established the P. cocos origin recognition model based on hyperspectral imaging combined with machine learning. P. cocos samples from Anhui, Fujian, Guangxi, Hubei, Hunan, Henan and Yunnan were used as the research objects. Hyperspectral data were collected in the visible and near infrared band(V-band, 410-990 nm) and shortwave infrared band(S-band, 950-2 500 nm). The original spectral data were divided into S-band, V-band and full-band. With the original data(RD) of different bands, multiplicative scatter correction(MSC), standard normal variation(SNV), S-G smoothing(SGS), first derivative(FD), second derivative(SD) and other pretreatments were carried out. Then the data were classified according to three different types of producing areas: province, county and batch. The origin identification model was established by partial least squares discriminant analysis(PLS-DA) and linear support vector machine(LinearSVC). Finally, confusion matrix was employed to evaluate the optimal model, with F1 score as the evaluation standard. The results revealed that the origin identification model established by FD combined with LinearSVC had the highest prediction accuracy in full-band range classified by province, V-band range by county and full-band range by batch, which were 99.28%, 98.55% and 97.45%, respectively, and the overall F1 scores of these three models were 99.16%, 98.59% and 97.58%, respectively, indicating excellent performance of these models. Therefore, hyperspectral imaging combined with LinearSVC can realize the non-destructive, accurate and rapid identification of P. cocos from different producing areas in batches, which is conducive to the directional research and production of P. cocos.
Hyperspectral Imaging ; Wolfiporia ; China ; Least-Squares Analysis ; Support Vector Machine

In this study, visual-near infrared(VNIR), short-wave infrared(SWIR), and VNIR + SWIR fusion hyperspectral data of Polygonatum cyrtonema from different geographical origins were collected and preprocessed by first derivative(FD), second derivative(SD), Savitzky-Golay smoothing(S-G), standard normalized variate(SNV), multiplicative scatter correction(MSC), FD+S-G, and SD+S-G. Three algorithms, namely random forest(RF), linear support vector classification(LinearSVC), and partial least squares discriminant analysis(PLS-DA), were used to establish the identification models of P. cyrtonema origin from three spatial scales, i.e., province, county, and township, respectively. Successive projection algorithm(SPA) and competitive adaptive reweighted sampling(CARS) were used to screen the characteristic bands, and the P. cyrtonema origin identification models were established according to the selected characteristic bands. The results showed that(1)after FD preprocessing of VNIR+SWIR fusion hyperspectral data, the accuracy of recognition models established using LinearSVC was the highest, reaching 99.97% and 99.82% in the province origin identification model, 100.00% and 99.46% in the county origin identification model, and 99.62% and 98.39% in the township origin identification model. The accuracy of province, county, and township origin identification models reached more than 98.00%.(2)Among the 26 characteristic bands selected by CARS, after FD pretreatment, the accuracy of origin identification models of different spatial scales was the highest using LinearSVC, reaching 98.59% and 97.05% in the province origin identification model, 97.79% and 94.75% in the county origin identification model, and 90.13% and 87.95% in the township origin identification model. The accuracy of identification models of different spatial scales established by 26 characteristic bands reached more than 87.00%. The results show that hyperspectral imaging technology can realize accurate identification of P. cyrtonema origin from different spatial scales.
Spectroscopy, Near-Infrared ; Polygonatum ; Algorithms ; Random Forest ; Least-Squares Analysis

Objective To explore the optimal administration route of tranexamic acid (TXA) in shoulder arthroscopic surgery. Methods Patients undergoing arthroscopic rotator cuff repair were randomly divided into four groups: control group (without TXA treatment), intravenous group (TXA was intravenously administered 10 minutes before surgery), irrigation group (TXA was added to the irrigation fluid during subacromial decompression and acromioplasty), and intravenous plus irrigation group (TXA was applied both intravenously and via intra-articular irrigation). The primary outcome was visual clarity assessed with visual analog scale (VAS) score, and the secondary outcomes included irrigation fluid consumption and time to subacromial decompression and acromioplasty procedure. Results There were 134 patients enrolled in the study, including 33 in the control group, 35 in the intravenous group, 32 in the irrigation group, and 34 in the intravenous plus irrigation group. The median and interquartile range of VAS scores for the intravenous, irrigation, and intravenous plus irrigation groups were 2.70 (2.50, 2.86) (Z = -3.677, P = 0.002), 2.67 (2.50, 2.77) (Z = -3.058, P < 0.001), and 2.91 (2.75, 3.00) (Z = -6.634, P < 0.001), respectively, significantly higher than that of the control group [2.44 (2.37, 2.53)]. Moreover, the control group consumed more irrigation fluid than the intravenous group, irrigation group, and intravenous plus irrigation group (all P < 0.05). The intravenous plus irrigation group consumed less irrigation fluid than either the intravenous group or the irrigation group (both P < 0.001). There was no difference in subacromial decompression and acromioplasty operative time among the four groups. Conclusion TXA applied both topically and systematically can improve intraoperative visual clarity, and the combined application is more effective.
Humans ; Tranexamic Acid/therapeutic use* ; Shoulder ; Arthroscopy/methods* ; Decompression, Surgical/methods* ; Treatment Outcome

In December 2022, the American Academy of Pediatrics released a clinical guideline for point-of-care ultrasonography (POCUS) in the neonatal intensive care unit (NICU). The guideline outlined the development and current status of POCUS in the NICU, and summarized the key elements and implementation guidelines for successful implementation of POCUS in the NICU. This article provides an overview of the key points of the clinical guideline and analyzes the current status of POCUS in China, providing a reference for the implementation of POCUS in neonatal care in China.
Infant, Newborn ; Humans ; United States ; Child ; Intensive Care Units, Neonatal ; Point-of-Care Systems ; Ultrasonography ; China

Child ; Consensus ; Drugs, Chinese Herbal ; Humans ; Medicine, Chinese Traditional ; Respiratory System

The epidemic of coronavirus disease 2019 (COVID-19) puts higher demands on critical care medicine. Lots of studies have been conducted to solve COVID-19-related problems. Therefore, we reviewed the annual progress for COVID-19-related issues including antivirals threapies, respiratory support and immunomodulatory therapies and other critical issues, including the effect of antibiotic on mitochondrial damage and its relationship with sepsis, the goal and direction of antimicrobial de-escalation, drug prophylaxis of constipation, bleeding in gastrointestinal disorders and management of critical illness in the informalization era and so on. We hope to provide reference for clinical and scientific research work of the intensivists.

Objective:To explore the diagnosis, surgical methods and therapeutic effect of primary duodenal malignant tumor.Methods:The clinical data of 116 patients with primary duodenal malignant tumor from January 2010 to December 2018 were retrospectively analyzed.Results:Among 116 patients, adenocarcinoma was in 74 cases, interstitial tumor was in 25 cases, carcinoid was in 9 cases, the others was in 8 cases. Before operation, duodenoscopy was performed in 107 cases, and CT examination was performed in 76 cases. There were 57 cases of pancreaticoduodenectomy, 15 cases of duodenal segmental resection, 13 cases of subtotal gastrectomy and duodenal bulbar resection, 13 cases of duodenal partial resection, and 18 cases of palliative short circuit operation. The total incidence of postoperative complication was 31.9% (37/116), including pancreatic fistula in 8 cases (grade B 5 cases, grade C 3 cases), biliary fistula in 6 cases, abdominal infection in 5 cases, pulmonary infection in 4 cases, intestinal fistula in 3 cases, delayed gastric emptying in 3 cases, and hemorrhage in 8 cases. Four cases (3.4%) died during the perioperative period. Single factor Cox regression analysis result showed that the postoperative survival time was related to the tumor differentiation degree, operation method, tumor infiltration degree and lymphatic metastasis ( P<0.05 or <0.01); multi-factor Cox regression analysis results showed that the operation method, tumor infiltration degree and lymphatic metastasis were the independent risk factors for the postoperative survival time of patients with primary duodenal malignant tumor ( P<0.05). The patients were followed up until June 2021, and 9 cases were lost to follow-up. Kaplan-Meier survival curve analysis result showed that the postoperative overall 1-,3- and 5-year survival rates were 82.11%, 57.56% and 33.11%, respectively. Conclusions:Adenocarcinoma is the main primary malignant tumor of duodenum. Duodenoscopy and CT are the main examination methods. Radical resection is the most effective treatment for primary duodenal malignant tumor, and pancreaticoduodenectomy is the first choice. Surgical method, tumor infiltration degree and lymphatic metastasis are the independent risk factors affecting the prognosis of patients.

Objective: To explore whether blood and polyp tissue eosinophil numbers are independent risk factors for poor disease control in patients with nasal polyp. Methods: By using the electronic medical records database and manual evaluation, 183 nasal polyp patients who had undergone endoscopic sinus surgery at least one year prior to the study with complete data of tissue specimens, baseline blood routine test, nasal endoscopy and sinus computed tomography, were identified and recruited to assess disease control based on the criteria of a European Position Paper on Rhinosinusitis and Nasal Polyps 2012 (EPOS 2012). Multiple logistic regression model was used to determine the association between blood and tissue eosinophil numbers and risk of poor disease control by adjusting for demographics and comorbidities. Results: We broke down the cohort into 4 groups according to blood (0.3×10⁹/L) and tissue (10%) eosinophils. The patients without eosinophilic inflammation represented the largest group (41.5%). The group with concordant blood and tissue eosinophilia represented the second largest (31.2%), and the patients with isolated tissue (15.3%) or blood (12.0%) eosinophilia were relatively rare. Multiple logistic regression models found blood eosinophil count and tissue eosinophil percentage were independently associated with increased risk for poor disease control after adjustments for covariates related to poor treatment outcome. Furthermore, subjects with concordant blood and tissue eosinophilia had a higher risk for poor disease control than those with isolated blood or tissue eosinophilia. Conclusion: Concordant blood and tissue eosinophilia relates to a higher likelihood of poor disease control than isolated blood or tissue eosinophilia after adjustment of potential confounders in nasal polyp patients.
Chronic Disease ; Eosinophilia ; Eosinophils ; Humans ; Nasal Polyps ; Rhinitis ; Sinusitis