Objective To systematically review the application and effectiveness of deep learning(DL)in diagnosis of mild cogni-tive impairment(MCI)among older adults.Methods PubMed,Web of Science,CNKI and Wanfang databases were searched for literatures related to the application of DL in MCI among older adults,from database inception to December,2024.A scoping review was conducted.The literature screening process followed the Scoping Review Report Specification list,and the quality assess-ment was conducted using the cross-sectional study quality evaluation tool developed by the Evidence-based Health Care Center.Results A total of eleven papers were included,from Italy,USA,South Korea,China,India and Switzerland,involving 11 829 elderly participants,publicated mainly between 2014 and 2024,reflecting the rapid development trend of the field in the last decade,which was in line with the timing of the development of DL technology.The quality scores of the included literatures were all six to seven.The types of studies were all cross-sectional studies with significant cross-disciplinary characteristics,mainly originating from the fields of clinical medicine,biology and neuroimaging.The literature data were mainly based on the Alzheimer's disease Neuroimaging Program database and integrated other data resources.In terms of data type,in addition to brain imaging data,one study based on text data was also included.In terms of models used,five of the studies were mainly based on convolutional neu-ral networks,and the rest used different DL modeling frameworks.The task types contained binary and triple classification.In terms of prediction results,the DL models constructed on multimodal data,such as brain imag-es,could be used to construct high-precision prediction models for MCI classification,and the models were all good,with accuracy more than 70%and AUC values more than 0.7.The diagnostic accuracy of some of the mod-els was more than 90%,and the model with the highest prediction accuracy was the one that used the Biceph-Net lightweight framework,with accuracy close to 100%,and the text analysis model based on Transformer made the AUC value of 0.846,which provided new ideas for the diagnosis of non-imaging data.Conclusion DL can not only provide strong support for the accurate identification of MCI in the elderly,but also provide auxiliary prediction tools for clinicians,which can help delay the progression of the disease and improve the prognosis of patients.

Objective:To investigate the mediating effect of psychological stress between sleep disorder and fatigue in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI) .Methods:Convenience sampling was used to select 305 ACS patients with PCI from August to September 2024 in China-Japan Union Hospital of Jilin University. General Information Questionnaire, Multidimensional Fatigue Inventory-20 (MFI-20), Symptom Checklist 90 (SCL-90), and Pittsburgh Sleep Quality Index (PSQI) were used to survey the patients at discharge, and one month after discharge.Results:The MFI-20, SCL-90, and PSQI scores at discharge of 305 patients with PCI for ACS were (59.27±18.33), (141.09±49.08), and (10.72±4.95), respectively. The MFI-20, SCL-90, and PSQI scores at one month after discharge were (55.58±19.28), (134.08±44.29), and (9.17±5.20), respectively. Mediating effect analysis showed that at discharge, the direct effect of sleep disorder on fatigue was 0.403, the mediating effect was 0.216, and the total effect was 0.619, with the mediating effect accounting for 34.89% of the total effect. One month after discharge, the direct effect of sleep disorder on fatigue was 0.385, the mediating effect was 0.355, and the total effect was 0.740, with the mediating effect accounting for 47.97% of the total effect.Conclusions:Psychological stress plays a mediating role between sleep disorder and fatigue at different time points in ACS patients undergoing PCI. Clinical attention should be paid to sleep disorders and psychological stress of ACS patients undergoing PCI, so as to improve their fatigue.

Objective:To investigate the mediating effect of psychological stress between sleep disorder and fatigue in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI) .Methods:Convenience sampling was used to select 305 ACS patients with PCI from August to September 2024 in China-Japan Union Hospital of Jilin University. General Information Questionnaire, Multidimensional Fatigue Inventory-20 (MFI-20), Symptom Checklist 90 (SCL-90), and Pittsburgh Sleep Quality Index (PSQI) were used to survey the patients at discharge, and one month after discharge.Results:The MFI-20, SCL-90, and PSQI scores at discharge of 305 patients with PCI for ACS were (59.27±18.33), (141.09±49.08), and (10.72±4.95), respectively. The MFI-20, SCL-90, and PSQI scores at one month after discharge were (55.58±19.28), (134.08±44.29), and (9.17±5.20), respectively. Mediating effect analysis showed that at discharge, the direct effect of sleep disorder on fatigue was 0.403, the mediating effect was 0.216, and the total effect was 0.619, with the mediating effect accounting for 34.89% of the total effect. One month after discharge, the direct effect of sleep disorder on fatigue was 0.385, the mediating effect was 0.355, and the total effect was 0.740, with the mediating effect accounting for 47.97% of the total effect.Conclusions:Psychological stress plays a mediating role between sleep disorder and fatigue at different time points in ACS patients undergoing PCI. Clinical attention should be paid to sleep disorders and psychological stress of ACS patients undergoing PCI, so as to improve their fatigue.

Objective To systematically review the application and effectiveness of deep learning(DL)in diagnosis of mild cogni-tive impairment(MCI)among older adults.Methods PubMed,Web of Science,CNKI and Wanfang databases were searched for literatures related to the application of DL in MCI among older adults,from database inception to December,2024.A scoping review was conducted.The literature screening process followed the Scoping Review Report Specification list,and the quality assess-ment was conducted using the cross-sectional study quality evaluation tool developed by the Evidence-based Health Care Center.Results A total of eleven papers were included,from Italy,USA,South Korea,China,India and Switzerland,involving 11 829 elderly participants,publicated mainly between 2014 and 2024,reflecting the rapid development trend of the field in the last decade,which was in line with the timing of the development of DL technology.The quality scores of the included literatures were all six to seven.The types of studies were all cross-sectional studies with significant cross-disciplinary characteristics,mainly originating from the fields of clinical medicine,biology and neuroimaging.The literature data were mainly based on the Alzheimer's disease Neuroimaging Program database and integrated other data resources.In terms of data type,in addition to brain imaging data,one study based on text data was also included.In terms of models used,five of the studies were mainly based on convolutional neu-ral networks,and the rest used different DL modeling frameworks.The task types contained binary and triple classification.In terms of prediction results,the DL models constructed on multimodal data,such as brain imag-es,could be used to construct high-precision prediction models for MCI classification,and the models were all good,with accuracy more than 70%and AUC values more than 0.7.The diagnostic accuracy of some of the mod-els was more than 90%,and the model with the highest prediction accuracy was the one that used the Biceph-Net lightweight framework,with accuracy close to 100%,and the text analysis model based on Transformer made the AUC value of 0.846,which provided new ideas for the diagnosis of non-imaging data.Conclusion DL can not only provide strong support for the accurate identification of MCI in the elderly,but also provide auxiliary prediction tools for clinicians,which can help delay the progression of the disease and improve the prognosis of patients.

In order to realize the diagnosis of slit lamp in cross-regional patients and improve the real-time and convenience of diagnosis,a remote slit lamp diagnosis platform based on Internet of Things(IoT)technology is designed.Firstly,the feasibility of remote slit lamp is analyzed.Secondly,the IoT platform architecture of doctor/server/facility(D/S/F)is proposed and a remote slit lamp is designed.Finally,the performance of the remote slit lamp diagnostic platform is tested.The platform solves the communication problem of distributed slit lamps and realizes respectively numerical control of multi-area slit lamp by multi-eye experts.The test results show that the remote control delay of the platform is less than 20 ms,which supports multiple experts to diagnose multiple patients separately.

Objective:To explore the progress of small shadow and the change of lung function in pneumoconiosis with positive autoantibody, so as to provide basis for clinical treatment of pneumoconiosis.Methods:A total of 756 patients were admitted to the pneumoconiosis department of the Guangzhou Occupational Disease Prevention Hospital from January 1, 2013 to June 1, 2019. The patients with combined infection were excluded. According to whether the autoantibody was positive, they were divided into positive group and negative group, 25 cases in each group. Follow-up observation of X-ray chest radiographs, chest CT, forced expiratory volume in one second (FEV 1) and forced expired flow at 50% of FVC (MEF 50) of pneumoconiosis patients for 5 years, to analyze the influence of positive autoantibody on the morphology of X-ray chest film, the pneumoconiosis promotion in 5 years and lung function. Results:There were 22 males and 3 females in the autoantibody positive group, aged 53.14±10.51 years. In the autoantibody negative group, there were 23 males and 2 females, aged 53.88±8.10 years. During the 5-year observation period, there was no significant difference of small shadow shape, pneumoconiosis stage, and the pneumoconiosis promotion in 5 years between the autoantibody positive group and the autoantibody negative group ( P>0.05). However, the increment of small shadow area in the autoantibody positive group was higher than that in the autoantibody negative group ( P<0.05). FEV 1 and MEF 50 of the autoantibody positive group were significantly lower than those of the autoantibody negative group in the fourth and third years, respectively ( P<0.05). Positive autoantibody was negatively correlated with FEV 1 and MEF 50 ( P<0.05). Conclusion:The positive autoantibody can't promote the progress of X-ray, but show more small shadows on chest CT; the positive autoantibody may aggravate the decline of lung function.

To analyze the clinical data of a case of acute emamectin·chlorfenapyr poisoning in Guangzhou 12th People's Hospital in 2019. The patient developed high fever and night sweats, and gradually became unconscious. The patient died after 5 days of treatment. The toxicity and mortality of emamectin·chlorfenapyr were high. For acute poisoning patients, in addition to conventional symptomatic treatment, early blood purification treatment should be actively carried out.

Objective:To explore the progress of small shadow and the change of lung function in pneumoconiosis with positive autoantibody, so as to provide basis for clinical treatment of pneumoconiosis.Methods:A total of 756 patients were admitted to the pneumoconiosis department of the Guangzhou Occupational Disease Prevention Hospital from January 1, 2013 to June 1, 2019. The patients with combined infection were excluded. According to whether the autoantibody was positive, they were divided into positive group and negative group, 25 cases in each group. Follow-up observation of X-ray chest radiographs, chest CT, forced expiratory volume in one second (FEV 1) and forced expired flow at 50% of FVC (MEF 50) of pneumoconiosis patients for 5 years, to analyze the influence of positive autoantibody on the morphology of X-ray chest film, the pneumoconiosis promotion in 5 years and lung function. Results:There were 22 males and 3 females in the autoantibody positive group, aged 53.14±10.51 years. In the autoantibody negative group, there were 23 males and 2 females, aged 53.88±8.10 years. During the 5-year observation period, there was no significant difference of small shadow shape, pneumoconiosis stage, and the pneumoconiosis promotion in 5 years between the autoantibody positive group and the autoantibody negative group ( P>0.05). However, the increment of small shadow area in the autoantibody positive group was higher than that in the autoantibody negative group ( P<0.05). FEV 1 and MEF 50 of the autoantibody positive group were significantly lower than those of the autoantibody negative group in the fourth and third years, respectively ( P<0.05). Positive autoantibody was negatively correlated with FEV 1 and MEF 50 ( P<0.05). Conclusion:The positive autoantibody can't promote the progress of X-ray, but show more small shadows on chest CT; the positive autoantibody may aggravate the decline of lung function.

To analyze the clinical data of a case of acute emamectin·chlorfenapyr poisoning in Guangzhou 12th People's Hospital in 2019. The patient developed high fever and night sweats, and gradually became unconscious. The patient died after 5 days of treatment. The toxicity and mortality of emamectin·chlorfenapyr were high. For acute poisoning patients, in addition to conventional symptomatic treatment, early blood purification treatment should be actively carried out.

Objective Compare the effect of thoracic and abdominal mediastinal tube placement on pain and comfort in patients with minimally invasive esophageal cancer and nursing care. Methods 108 patients with squamous cell carcinoma of the thoracic esophagus were selected from December 2016 to May 2017. The patients were divided into chest group and abdominal group according to the random number comparison table, each with 54 cases. All patients underwent minimally invasive radical resection of esophageal carcinoma. The mediastinum drainage tube was placed at different locations of the chest and abdomen after operation. The duration of intubation, total drainage volume, number of dressing change before and after extubation, degree of pain and comfort after surgery were recorded, drainage tube failure and the incidence of related complication were compared between the two groups. Results There was no significant difference in duration of intubation, total drainage volume, drainage tube failure and the incidence of related complication between Patients with mediastinal tubes placed through the chest and abdomen(P>0.05). The times of dressing change before and after extubation in the abdominal group were (2.8 ± 1.0), (1.9 ± 0.6) times, those in the chest group were (4.5 ± 1.2), (3.6 ± 1.1) times, there were significant difference between the two groups (t=7.841, 9.377, P<0.01). The NRS and VAS score at 1-4 days and extubation in the abdominal group were significantly lower than those in the chest group, the abdominal group were (3.2±1.0), (2.7±0.8), (2.3±0.7), (1.9±0.7), (1.5±0.6) points and (3.7±0.8), (3.4±1.4), (3.0± 0.7), (2.6±1.0), (2.6±1.0) points, the chest group were (3.7±1.3), (3.3±1.1), (2.8±0.8), (2.3±0.8), (2.3±0.7) points and (5.0±0.9), (4.3±1.4), (4.1±1.3), (3.3±1.2), (3.6±1.0) points, there were significant difference between the two groups (t=2.443-7.247, P<0.01 or 0.05). Conclusions Intraoperative abdominal minimally invasive radical mediastinal tube placed esophageal cancer, can significantly relieve pain and improve patient comfort, reduce the frequency of dressing change before and after extubation, not only quickly improve the rehabilitation of patients, but also can avoid the waste of medical resources, it is worthy of clinical promotion.