Normal heart function depends on complex regulation by the brain, and abnormalities in the brain‒heart axis affect various diseases, such as myocardial infarction and anxiety disorders. However, systematic tracking of the brain regions associated with the input and output of the heart is lacking. In this study, we injected retrograde transsynaptic pseudorabies virus (PRV) and anterograde transsynaptic herpes simplex virus (HSV) into the left ventricular wall of mice to identify the whole-brain regions associated with the input to and output from the heart. We successfully detected PRV and HSV expression in at least 170 brain subregions in both male and female mice. Sex differences were discovered mainly in the hypothalamus and medulla, with male mice exhibiting greater correlation and hierarchical clustering than female mice, indicating reduced similarity and increased modularity of virus expression patterns in male mice. Further graph theory and multiple linear regression analysis of different injection timelines revealed that hub regions of PRV had highly similar clusters, with different brain levels, suggesting a top-down, hierarchically transmitted neural control pattern of the heart. Hub regions of HSV had scattered clusters, with brain regions gathered in the cortex and brainstem, suggesting a bottom-up, leapfrog, multipoint neural sensing pattern of the heart. Both patterns contain many hub brain regions that have been previously overlooked in brain‒heart axis studies. These results provide brain targets for future research and will lead to deeper insight into the brain mechanisms involved in specific heart conditions.
Animals ; Male ; Female ; Heart/physiology* ; Mice ; Herpesvirus 1, Suid ; Brain/physiology* ; Mice, Inbred C57BL ; Brain Mapping ; Efferent Pathways/physiology* ; Afferent Pathways/physiology* ; Simplexvirus ; Sex Characteristics

OBJECTIVE To understand the disinfectant-resistant genes in the gram-negative bacteria isolated from the dirt retention on air recure filters of air conditioners and observe the drug resistance.METHODS The dirt re-tention samples were collected from the air return filters of air conditioners of some wards in 3 hospitals of Wuhan(Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology,Wuhan Central Hospital,and Hubei Provincial Maternal and Child Health Hospital)from 2018 to 2024.The gram-negative bac-teria were screened out,the disinfectant-resistant genes in the strains were detected by polymerase chain reaction(PCR),and the results of drug susceptibility test were analyzed.RESULTS Of 354 dirt retention samples that were collected from the air return filers of air conditioners,77 were detected with 138 strains of gram-negative bacteria,87 of which were Acinetobacter baumannii,50 were Enterobacteriaceae,and 1 was Pseudomonas aerug-inosa.The detection rates of qacEΔ1,qacEΔ1-sul1,aceI and qacA/B were 73.19％,82.61％,69.57％and 2.90％,respectively.None of the strains were detected with qacC,qacH or qacJ.The result of drug susceptibility test showed that 76.81％of the gram-negative bacteria were resistant to at least 1 type of antibiotic;93 strains of multidrug-resistant gram-negative bacteria were isolated,most of which were isolated from intensive care unit(ICU).The detection rates of qacEΔ1 and qacEΔ1-sul1 were higher in the drug-resistant strains than those in the non-drug-resistant strains;there were significant differences in the drug resistance rates to carbapenems,quin-olones and β-lactams between the qacEΔ1-sul 1-positive strains and the qacEΔ1-sul1-negative strains(P＜0.05).CONCLUSIONS There are drug-resistant gram-negative bacteria contaminations in some wards of the 3 hospitals in Wuhan.The carrying rates of disinfectant-resistant genes of the strains are high,and the strains show varying degree of resistance to the commonly used antibiotics;the strains carrying the qacEΔ1-sul1 have certain statistical association with the drug resistance.It is suggested that the hospital should take targeted disinfec-tion measures for the environment and reasonably use antibiotics.

OBJECTIVE To understand the disinfectant-resistant genes in the gram-negative bacteria isolated from the dirt retention on air recure filters of air conditioners and observe the drug resistance.METHODS The dirt re-tention samples were collected from the air return filters of air conditioners of some wards in 3 hospitals of Wuhan(Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology,Wuhan Central Hospital,and Hubei Provincial Maternal and Child Health Hospital)from 2018 to 2024.The gram-negative bac-teria were screened out,the disinfectant-resistant genes in the strains were detected by polymerase chain reaction(PCR),and the results of drug susceptibility test were analyzed.RESULTS Of 354 dirt retention samples that were collected from the air return filers of air conditioners,77 were detected with 138 strains of gram-negative bacteria,87 of which were Acinetobacter baumannii,50 were Enterobacteriaceae,and 1 was Pseudomonas aerug-inosa.The detection rates of qacEΔ1,qacEΔ1-sul1,aceI and qacA/B were 73.19％,82.61％,69.57％and 2.90％,respectively.None of the strains were detected with qacC,qacH or qacJ.The result of drug susceptibility test showed that 76.81％of the gram-negative bacteria were resistant to at least 1 type of antibiotic;93 strains of multidrug-resistant gram-negative bacteria were isolated,most of which were isolated from intensive care unit(ICU).The detection rates of qacEΔ1 and qacEΔ1-sul1 were higher in the drug-resistant strains than those in the non-drug-resistant strains;there were significant differences in the drug resistance rates to carbapenems,quin-olones and β-lactams between the qacEΔ1-sul 1-positive strains and the qacEΔ1-sul1-negative strains(P＜0.05).CONCLUSIONS There are drug-resistant gram-negative bacteria contaminations in some wards of the 3 hospitals in Wuhan.The carrying rates of disinfectant-resistant genes of the strains are high,and the strains show varying degree of resistance to the commonly used antibiotics;the strains carrying the qacEΔ1-sul1 have certain statistical association with the drug resistance.It is suggested that the hospital should take targeted disinfec-tion measures for the environment and reasonably use antibiotics.

Ankylosing spondylitis (AS) combined with spinal fractures with thoracic and lumbar fracture as the most common type shows characteristics of unstable fracture, high incidence of nerve injury, high mortality and high disability rate. The diagnosis may be missed because it is mostly caused by low-energy injury, when spinal rigidity and osteoporosis have a great impact on the accuracy of imaging examination. At the same time, the treatment choices are controversial, with no relevant specifications. Non-operative treatments can easily lead to bone nonunion, pseudoarthrosis and delayed nerve injury, while surgeries may be failed due to internal fixation failure. At present, there are no evidence-based guidelines for the diagnosis and treatment of AS combined with thoracic and lumbar fracture. In this context, the Spinal Trauma Academic Group of Orthopedics Branch of Chinese Medical Doctor Association organized experts to formulate the Clinical guideline for the diagnosis and treatment of adult ankylosing spondylitis combined with thoracolumbar fracture ( version 2023) by following the principles of evidence-based medicine and systematically review related literatures. Ten recommendations on the diagnosis, imaging evaluation, classification and treatment of AS combined with thoracic and lumbar fracture were put forward, aiming to standardize the clinical diagnosis and treatment of such disorder.

OBJECTIVE: To observe the clinical effect of platelet rich plasma (PRP) combined with β tricalcium phosphate bioceramic bone in the treatment of non traumatic necrosis of the femoral head in ARCO stageⅡ. METHODS: From January 2017 to December 2018, 100 patients (160 hips) with ARCO stageⅡnon traumatic necrosis of the femoral head were divided into PRP group and control group. In PRP group, 50 patients (80 hips), 22 males and 28 females, aged from 18 to 65 (43.47± 7.23) years, with a course of 4 to 18 (15.8±2.9) months, underwent core decompression and bone grafting combined with PRP implantation. There were 50 cases (80 hips) in the control group, including 27 males and 23 females, aged 20 to 63 (45.72± 7.43) years, and the course of disease was 6 to 19 (14.9±3.8) months. Hip X-ay film was followed up after operation. Harris score and VAS score were used to evaluate the curative effect, and the survival rate of hip joint was recorded. RESULTS: All patients had good wound healing, no infection, thrombosis and other complications. All patients were followed up for 12 to 14 (12.0±0.4) months. Twelve months after operation, the image expression of PRP group was better than that of control group( CONCLUSION Platelet-rich plasma(PRP) combined with artificialbone for core decompression and bone grafting can change the situation of simple artificial bone implantation and uncertain curative effect, improve the success rate of this operation, effectively reduce the collapse rate of femoral head necrosis in the early and middle stage, delay or even avoid hip replacement.
Adolescent ; Adult ; Aged ; Artemisinins ; Bone Transplantation ; Decompression, Surgical ; Female ; Femur Head/surgery* ; Femur Head Necrosis/surgery* ; Humans ; Male ; Middle Aged ; Naphthoquinones ; Platelet-Rich Plasma ; Treatment Outcome ; Young Adult

Objective To investigate a diabetic retinopathy ( DR ) detection algorithm based on transfer learning in small sample dataset. Methods Total of 4465 fundus color photographs taken by Gaoyao People ' s Hospital was used as the full dataset. The model training strategies using fixed pre-trained parameters and fine-tuning pre-trained parameters were used as the transfer learning group to compare with the non-transfer learning strategy that randomly initializes parameters. These three training strategies were applied to the training of three deep learning networks:ResNet50,Inception V3 and NASNet. In addition,a small dataset randomly extracted from the full dataset was used to study the impact of the reduction of training data on different strategies. The accuracy and training time of the diagnostic model were used to analyze the performance of different training strategies. Results The best results in different network architectures were chosen. The accuracy of the model obtained by fine-tuning pre-training parameters strategy was 90. 9％,which was higher than the strategy of fixed pre-training parameters (88. 1％) and the strategy of randomly initializing parameters ( 88. 4％) . The training time for fixed pre-training parameters was 10 minutes,less than the strategy of fine-tuning pre-training parameters ( 16 hours ) and the strategy of randomly initializing parameters (24 hours). After the training data was reduced,the accuracy of the model obtained by the strategy of randomly initializing parameters decreased by 8. 6％ on average,while the accuracy of the transfer learning group decreased by 2. 5％ on average. Conclusions The proposed automated and novel DR detection algorithm based on fine-tune and NASNet structure maintains high accuracy in small sample dataset,is found to be robust,and effective for the preliminary diagnosis of DR.

Objective To study the efficiency and accuracy of artificial intelligence (AI) system based on fundus photograph in diabetic retinopathy(DR)screening,and evaluate the clinical application value of AI system. Methods A diagnostic trial was adopted. Total of 13683 color fundus photos were collected in Zhaoqing Gaoyao People's Hospital from March,2017 to November,2018. The AI system for DR (ZOC-DR-V1) was established,based on transfer learning + NASNet algorithm,by training 4465 precisely labeled fundus images (2510 normal,and 1955 with any stage of DR). One thousand confirmed fundus images (300 normal and 700 with any stage of DR),diagnosed by AI ( AI group ) and doctors ( 3 ophthalmologist doctors and 3 endocrinologist doctors ) ( doctor group ) , respectively. Ophthalmologist group and endocrinologist group were both composed of primary,intermediate and senior physicians. The mean reading time of each image and the total time of 1000 images were recorded. The accuracy and efficiency of AI system and doctor groups were compared. The reading process was divided into two stages. The diagnostic coincidence rate and the average reading time of each group between the two parts were calculated and compared. This study protocol was approved by Ethic Committee of Zhongshan Ophthalmic Center, Sun Yat-sen University (No. 2017KYPJ104). Results After training,the diagnostic coincidence rate of AI system (ZOC-DR-V1) in test set was 94. 7％,AUC was 0. 994. In this "man-machine to war",the diagnostic coincidence rate of primary,intermediate and senior endocrinologist was 94. 0％,91. 4％ and 93. 4％;the diagnostic coincidence rate of primary,intermediate and senior ophthalmologist was 92. 7％,94. 4％ and 95. 6％;the diagnostic coincidence rate of AI system was 95. 2％. There was no difference in the diagnostic coincidence rate between AI system and senior ophthalmologist ( P = 0. 749 ) . The mean reading time of each image of primary, intermediate and senior endocrinologists was (4. 63±1. 87),(3. 74±3. 47) and (5. 71±3. 47) seconds,and the total time of 1000 images of primary,intermediate and senior endocrinologists was 1. 29,1. 04 and 1. 58 hours;the mean reading time of each image of primary,intermediate and senior ophthalmologists was ( 7. 25 ± 6. 58 ) , ( 5. 18 ± 5. 01 ) and ( 5. 18 ± 3. 47 ) seconds,and the total time of 1000 images of primary,intermediate and senior endocrinologists was 2. 02,1. 44 and 1. 44 hours;the mean and total time of AI system was (1. 62±0. 67) seconds and 0. 45 hours,and the reading time of AI system was significantly shorter than that of the doctor groups (all at P=0. 000). The diagnostic coincidence rates between previous and posterior part of primary endocrinologist, primary and intermediate ophthalmologist were significantly different (χ2=11. 986,6. 517,10. 896;all at P<0. 05),and the mean reading time in the posterior part was significantly shorter than that in the previous part of intermediate and senior endocrinologist and primary ophthalmologist (t=4. 175,8. 189,5. 160;all at P<0. 01). While the reading time of AI system remained stable throughout the process(χ2=3. 151,P=0. 103;t=0. 038,P=0. 970). Conclusions The ophthalmic AI system based on fundus images has a good diagnostic efficiency,and its diagnostic coincidence rate can compare with senior ophthalmologist,providing a new method and platform for large-scale DR screening.

ABSTRACT:Objective To investigate the effect of PDCA nursing model in children with mycoplasma pneumonia.Methods 120 children with mycoplasma pneumonia treated with Tanre-qing combined with azithromycin were randomly divided into the observation group (PDCA nursing model)and the control group (usual care)with 60 cases in each group.Clinical compliance,effica-cy,clinical symptoms,hospitalization time and adverse reactions were compared in two groups.Re-sults The clinical compliance in the observation group was higher than that in the control group(P<0.05).The effective rate in the observation group was 98.33%,which was significantly higher than that in the control group(88.33%)(P <0.05).Cooling time observation group,cough time, rales disappeared time,tonsils congestion disappear time and length of hospital stay in the observa-tion group were significantly less than those in the control group (P <0.05).Incidence of adverse reactions in the observation group was 15.00%,which was significantly lower than that in the con-trol group(31.67%)(P <0.05).Conclusion PDCA nursing model significantly improves compli-ance and clinical efficacy in children with mycoplasma pneumonia,and shortens the time of clinical symptoms and hospitalization and reduces adverse side effects.

ABSTRACT:Objective To investigate the effect of PDCA nursing model in children with mycoplasma pneumonia.Methods 120 children with mycoplasma pneumonia treated with Tanre-qing combined with azithromycin were randomly divided into the observation group (PDCA nursing model)and the control group (usual care)with 60 cases in each group.Clinical compliance,effica-cy,clinical symptoms,hospitalization time and adverse reactions were compared in two groups.Re-sults The clinical compliance in the observation group was higher than that in the control group(P<0.05).The effective rate in the observation group was 98.33%,which was significantly higher than that in the control group(88.33%)(P <0.05).Cooling time observation group,cough time, rales disappeared time,tonsils congestion disappear time and length of hospital stay in the observa-tion group were significantly less than those in the control group (P <0.05).Incidence of adverse reactions in the observation group was 15.00%,which was significantly lower than that in the con-trol group(31.67%)(P <0.05).Conclusion PDCA nursing model significantly improves compli-ance and clinical efficacy in children with mycoplasma pneumonia,and shortens the time of clinical symptoms and hospitalization and reduces adverse side effects.

Objective To investigate the efficacy of ablative fractionated erbium: yttrium aluminum garnet (Er: YAG) laser in facial acne scars and enlarged pores. Methods Forty-one patients with mild to moderate pitted acne scars and 23 patients with enlarged pores were treated with 81 (9 × 9) bits of facula for 3 to 5 sessions at an interval of 1 month. For acne scars, the pulse duration was medium to long, energy at 800 to 1200 mJ, and number of stacking passes 4 to 8; for enlarged pores, the pulse duration was medium, energy at 800 to 1000 mJ and number of stacking passes 2 to 4. The clinical improvement was evaluated by 2 blinded dermatologists. Meanwhile, the satisfaction rate was self-assessed by patients. Three-dimensional (3D) micro-topography imaging system was used to evaluate the improvement in surface roughness. Results The efficacy reached 82.93% and 86.96% for ache scars and enlarged pores, respectively. The satisfaction rate was 88.80% and 91.30% in patients with ache scars and those with enlarged pores, respectively. After treatment, the Ra and Rz values, as the indicators of roughness, decreased by 18.74% and 21.01%, individually (P < 0.001) in 11 patients including 6 with acne scars and 5 with enlarged pores. Conclusion Ablative fractionated Er:YAG laser can efficiently resurface pitted ache scars and shrink enlarged pores.