OBJECTIVE:A great deal of evidence indicates that regular exercise can improve the health status of elderly individuals,including reducing overall and abdominal fat levels,increasing muscle mass and bone mineral density of the limbs,thereby preventing or delaying the onset of sarcopenia and its comorbidities.This study aims to determine the most reliable type,duration,and intensity of exercise interventions through meta-analysis to prevent,delay,and alleviate sarcopenia and its comorbidities in elderly individuals.METHODS:Randomized controlled trials examining the effects of exercise interventions on elderly individuals with sarcopenia and its comorbidities were searched in the PubMed,Embase,Web of Science,Cochrane Library,CNKI,and WanFang databases.The Cochrane Risk of Bias Tool was used to assess the quality of the included studies,and RevMan 5.3 software was employed for meta-analysis.Subgroup analyses were conducted to explore the effects of different exercise intervention protocols on various outcome measures.In addition,Stata 16.0 software was used to perform sensitivity analysis to assess the stability of the results,and funnel plots and Egger's test were employed to evaluate publication bias,ensuring the comprehensiveness and reliability of the results.RESULTS:(1)Sixteen studies involving 861 patients with sarcopenia and its comorbidities were included.(2)The meta-analysis results indicated that,compared with the control group,exercise significantly improved grip strength,knee muscle strength,appendicular skeletal muscle mass,skeletal muscle index,Timed Up and Go test results,gait speed,and insulin-like growth factor 1 levels(P＜0.05).However,the effect of exercise intervention on the sit-to-stand test was not significantly improved(P＞0.05).(3)Based on the results of subgroup analysis,it is recommended that elderly patients with sarcopenia and its comorbidities engage in exercise at least three times per week,with each session lasting no more than 30 minutes or exceeding 45 minutes,for at least 12 weeks.The exercise protocol should be flexibly adjusted according to the patient's health status and individual needs.CONCLUSION:Exercise interventions significantly improve muscle mass,muscle strength,physical function,and insulin-like growth factor 1 levels in elderly individuals with sarcopenia and its comorbidities,thereby enhancing their quality of life.However,further research is needed to validate these findings and optimize specific intervention protocols.

OBJECTIVE:A great deal of evidence indicates that regular exercise can improve the health status of elderly individuals,including reducing overall and abdominal fat levels,increasing muscle mass and bone mineral density of the limbs,thereby preventing or delaying the onset of sarcopenia and its comorbidities.This study aims to determine the most reliable type,duration,and intensity of exercise interventions through meta-analysis to prevent,delay,and alleviate sarcopenia and its comorbidities in elderly individuals.METHODS:Randomized controlled trials examining the effects of exercise interventions on elderly individuals with sarcopenia and its comorbidities were searched in the PubMed,Embase,Web of Science,Cochrane Library,CNKI,and WanFang databases.The Cochrane Risk of Bias Tool was used to assess the quality of the included studies,and RevMan 5.3 software was employed for meta-analysis.Subgroup analyses were conducted to explore the effects of different exercise intervention protocols on various outcome measures.In addition,Stata 16.0 software was used to perform sensitivity analysis to assess the stability of the results,and funnel plots and Egger's test were employed to evaluate publication bias,ensuring the comprehensiveness and reliability of the results.RESULTS:(1)Sixteen studies involving 861 patients with sarcopenia and its comorbidities were included.(2)The meta-analysis results indicated that,compared with the control group,exercise significantly improved grip strength,knee muscle strength,appendicular skeletal muscle mass,skeletal muscle index,Timed Up and Go test results,gait speed,and insulin-like growth factor 1 levels(P＜0.05).However,the effect of exercise intervention on the sit-to-stand test was not significantly improved(P＞0.05).(3)Based on the results of subgroup analysis,it is recommended that elderly patients with sarcopenia and its comorbidities engage in exercise at least three times per week,with each session lasting no more than 30 minutes or exceeding 45 minutes,for at least 12 weeks.The exercise protocol should be flexibly adjusted according to the patient's health status and individual needs.CONCLUSION:Exercise interventions significantly improve muscle mass,muscle strength,physical function,and insulin-like growth factor 1 levels in elderly individuals with sarcopenia and its comorbidities,thereby enhancing their quality of life.However,further research is needed to validate these findings and optimize specific intervention protocols.

The intensive care unit (ICU) is a highly equipment-intensive area with a wide variety of medical devices, and the accuracy and timeliness of medical equipment data collection are highly demanded. The integration of the Internet of Things (IoT) into ICU medical devices is of great significance for enhancing the quality of medical care and nursing, as well as for the advancement of digital and intelligent ICUs. This study focuses on the construction of the IOT for ICU medical devices and proposes innovative solutions, including the overall architecture design, devices connection, data collection, data standardization, platform construction and application implementation. The overall architecture was designed according to the perception layer, network layer, platform layer and application layer; three modes of device connection and data acquisition were proposed; data standardization based on Integrating the Healthcare Enterprise-Patient Care Device (IHE-PCD) was proposed. This study was practically verified in the Chinese People's Liberation Army General Hospital, a total of 122 devices in four ICU wards were connected to the IoT, storing 21.76 billion data items, with a data volume of 12.5 TB, which solved the problem of difficult systematic medical equipment data collection and data integration in ICUs. The remarkable results achieved proved the feasibility and reliability of this study. The research results of this paper provide a solution reference for the construction of hospital ICU IoT, offer more abundant data for medical big data analysis research, which can support the improvement of ICU medical services and promote the development of ICU to digitalization and intelligence.
Intensive Care Units ; Internet of Things ; Humans ; Internet ; Data Collection

OBJECTIVE To analyze the differences in chemical composition of mussels from Shengsi,Zhoushan in different har-vest months,and to compare the differences in the composition of mussels from different origins,so as to provide ideas for the compre-hensive utilization of its resources.METHODS Ultra-high performance liquid chromatography-triple quadrupole mass spectrometry(UHPLC-QqQ-MS)and spectrophotometry were used to analyze and evaluate the contents of nucleosides,amino acids,water-soluble proteins,total sugars and polysaccharides in mussels from Shengsi,Zhoushan in 12 months of the year and from 5 different origins;principal component analysis(PCA),partial least squares discriminant method(PLS-DA)and TOPSIS method were used to compre-hensively evaluate mussels.RESULTS A total of 16 amino acids and 11 nucleosides were detected in mussels.The average content of total amino acids in Shengsi mussels throughout the year was 4 851.74 μg·g-1,the average content of total nucleosides was 921.40 μg·g-1,and the average contents of water-soluble protein,polysaccharides,and total sugars were 51.32 mg·g-1,74.39 μg·g-1,and 417.22 mg·g-1,respectively.The nucleosides of Shengsi mussels were the highest in March and April,the ami-no acids and water-soluble proteins were the highest in April and May,and the polysaccharides and total sugars were the highest in Oc-tober and November.The PCA and PLS-DA results of the chemical components of different resources showed that there were great differences in Shengsi mussel samples harvested in different seasons.The entropy weight TOPSIS analysis showed that the comprehen-sive scores of Shengsi mussels in March and April(S7 and S8)were better than those in other areas,and the comprehensive score of Shengsi mussels in April(S8)was the highest,which was determined to be the best harvesting month.CONCLUSION The comparison results of multi-type resource chemistry show that there are great differences in the chemical compo-sition of Shengsi mussels in different harvesting seasons;the quality of Shengsi mussels is better than that of other areas;April is the best harvesting season,providing a reference for the quality evaluation and comprehensive development and utilization of mussels.

Objective To review the characteristics of Rhizopus microsporus infection for better awareness of the disease.Methods One case of pneumonia caused by R.microsporus was reported in a 66-year-old male patient.Similar reports on infections caused by R.microsporus were retrieved in PubMed and CNKI databases since 2013.The characteristics of patients with R.microsporus infection were reviewed.Results This case involves a 66-year-old male patient presenting with a 10-day history of cough,sputum production,and hemoptysis.The patient had a previous history of diabetes mellitus.Pulmonary CT scan revealed an irregular soft tissue density mass in the right lower lobe and pneumonia.The clinical presentation and laboratory findings were consistent with pulmonary mucormycosis caused by R.microsporus.R.microsporus was isolated from bronchoalveolar lavage fluid culture.The patient was treated with intravenous liposomal amphotericin B followed by oral posaconazole for antifungal therapy,and achieved a favorable prognosis.A total of 24 cases(18 males,5 females,1 unknown)of R.microsporus infection were reviewed(including this one).The specific site of infection included pulmonary infection(n=10),ocular infection(n=1),skin tuberculosis(n=1),splenic abscess(n=1),oral mucositis(n=1),gouty arthritis(n=1),esophageal ulceration(n=1),abdominal infection(n=1),and others(n=7).The clinical symptoms varied with the organs involved.Majority of the patients(n=11)were cured by surgery combined with antimicrobial therapy.Overall,13 patients died.Conclusions Clinicians should be aware of the possibility of R.microsporus infection in case of pulmonary infection,especially those with diabetes mellitus.

Objective To review the characteristics of Rhizopus microsporus infection for better awareness of the disease.Methods One case of pneumonia caused by R.microsporus was reported in a 66-year-old male patient.Similar reports on infections caused by R.microsporus were retrieved in PubMed and CNKI databases since 2013.The characteristics of patients with R.microsporus infection were reviewed.Results This case involves a 66-year-old male patient presenting with a 10-day history of cough,sputum production,and hemoptysis.The patient had a previous history of diabetes mellitus.Pulmonary CT scan revealed an irregular soft tissue density mass in the right lower lobe and pneumonia.The clinical presentation and laboratory findings were consistent with pulmonary mucormycosis caused by R.microsporus.R.microsporus was isolated from bronchoalveolar lavage fluid culture.The patient was treated with intravenous liposomal amphotericin B followed by oral posaconazole for antifungal therapy,and achieved a favorable prognosis.A total of 24 cases(18 males,5 females,1 unknown)of R.microsporus infection were reviewed(including this one).The specific site of infection included pulmonary infection(n=10),ocular infection(n=1),skin tuberculosis(n=1),splenic abscess(n=1),oral mucositis(n=1),gouty arthritis(n=1),esophageal ulceration(n=1),abdominal infection(n=1),and others(n=7).The clinical symptoms varied with the organs involved.Majority of the patients(n=11)were cured by surgery combined with antimicrobial therapy.Overall,13 patients died.Conclusions Clinicians should be aware of the possibility of R.microsporus infection in case of pulmonary infection,especially those with diabetes mellitus.

OBJECTIVE To analyze the differences in chemical composition of mussels from Shengsi,Zhoushan in different har-vest months,and to compare the differences in the composition of mussels from different origins,so as to provide ideas for the compre-hensive utilization of its resources.METHODS Ultra-high performance liquid chromatography-triple quadrupole mass spectrometry(UHPLC-QqQ-MS)and spectrophotometry were used to analyze and evaluate the contents of nucleosides,amino acids,water-soluble proteins,total sugars and polysaccharides in mussels from Shengsi,Zhoushan in 12 months of the year and from 5 different origins;principal component analysis(PCA),partial least squares discriminant method(PLS-DA)and TOPSIS method were used to compre-hensively evaluate mussels.RESULTS A total of 16 amino acids and 11 nucleosides were detected in mussels.The average content of total amino acids in Shengsi mussels throughout the year was 4 851.74 μg·g-1,the average content of total nucleosides was 921.40 μg·g-1,and the average contents of water-soluble protein,polysaccharides,and total sugars were 51.32 mg·g-1,74.39 μg·g-1,and 417.22 mg·g-1,respectively.The nucleosides of Shengsi mussels were the highest in March and April,the ami-no acids and water-soluble proteins were the highest in April and May,and the polysaccharides and total sugars were the highest in Oc-tober and November.The PCA and PLS-DA results of the chemical components of different resources showed that there were great differences in Shengsi mussel samples harvested in different seasons.The entropy weight TOPSIS analysis showed that the comprehen-sive scores of Shengsi mussels in March and April(S7 and S8)were better than those in other areas,and the comprehensive score of Shengsi mussels in April(S8)was the highest,which was determined to be the best harvesting month.CONCLUSION The comparison results of multi-type resource chemistry show that there are great differences in the chemical compo-sition of Shengsi mussels in different harvesting seasons;the quality of Shengsi mussels is better than that of other areas;April is the best harvesting season,providing a reference for the quality evaluation and comprehensive development and utilization of mussels.

OBJECTIVE:To explore the efficacy of different exercise regimens to reduce fall risks in older adults.METHODS:PubMed,Embase,Web of Science,The Cochrane Library,WanFang,and CNKI were searched for studies about exercise interventions on fall risk in healthy older adult individuals at the age of 60 years and above.The search timeframe should cover from the inception of each database to July 2023.Quality assessment and risk-of-bias were assessed using the Cochrane risk of bias tool.Meta-analysis,subgroup analysis,sensitivity analysis,and publication bias were conducted using Review Manager 5.3 and Stata 16.0.RESULTS:A total of 45 papers containing 54 studies with 3 074 participants were included in the analysis.Overall,exercise intervention can improve the interventional effects on balance(the unipedal stance test with eyes open,functional reach,Timed"Up & Go",and Berg balance scale),lower limb muscle strength(30-second chair-stand test,Five-Times Sit-To-Stand Test,and Short Physical Performance Battery),and fall-efficacy(Falls Efficacy Scale-International),leading to reduced fall risk(P＜0.05).The Meta-analysis results revealed a dosage effect of different exercise regimens to reduce fall risk in the elderly.Mind-body exercise could efficiently increase scores of the unipedal stance test[mean difference(MD)=6.81,95％confidence interval(CI)(2.17,11.44),P＜0.01];resistance exercise could efficiently increase the scores of the Timed"Up & Go"[MD=-3.12,95％CI(-5.72,-0.52),P＜0.05]and the 30-second chair-stand test[MD=1.22,95％CI(0.37,2.08),P＜0.01];and multicomponent physical activity could efficiently increase the scores of functional reach[MD=4.50,95％CI(2.58,6.42),P＜0.01],Berg Balance Scale[MD=1.05,95％CI(0.39,1.71),P＜0.01],Five-Times Sit-To-stand Test[MD=-3.15,95％CI(-4.80,-1.50),P＜0.01],Short Physical Performance Battery[MD=0.55,95％CI(0.37,0.74),P＜0.01],and Falls Efficacy Scale-International[MD=-0.41,95％CI(0.69,-0.13),P＜0.01].Conclusion:Exercise interventions can effectively improve balance,enhance limb strength and functional ability,and reduce fear of falling,and lower the risk of falls in older adults.The components of different intervention programs(such as type of exercise,duration,frequency,and session length)have varying dose-response relationships with the results of fall risk screening tests in older adults.

OBJECTIVE:To explore the efficacy of different exercise regimens to reduce fall risks in older adults.METHODS:PubMed,Embase,Web of Science,The Cochrane Library,WanFang,and CNKI were searched for studies about exercise interventions on fall risk in healthy older adult individuals at the age of 60 years and above.The search timeframe should cover from the inception of each database to July 2023.Quality assessment and risk-of-bias were assessed using the Cochrane risk of bias tool.Meta-analysis,subgroup analysis,sensitivity analysis,and publication bias were conducted using Review Manager 5.3 and Stata 16.0.RESULTS:A total of 45 papers containing 54 studies with 3 074 participants were included in the analysis.Overall,exercise intervention can improve the interventional effects on balance(the unipedal stance test with eyes open,functional reach,Timed"Up & Go",and Berg balance scale),lower limb muscle strength(30-second chair-stand test,Five-Times Sit-To-Stand Test,and Short Physical Performance Battery),and fall-efficacy(Falls Efficacy Scale-International),leading to reduced fall risk(P＜0.05).The Meta-analysis results revealed a dosage effect of different exercise regimens to reduce fall risk in the elderly.Mind-body exercise could efficiently increase scores of the unipedal stance test[mean difference(MD)=6.81,95％confidence interval(CI)(2.17,11.44),P＜0.01];resistance exercise could efficiently increase the scores of the Timed"Up & Go"[MD=-3.12,95％CI(-5.72,-0.52),P＜0.05]and the 30-second chair-stand test[MD=1.22,95％CI(0.37,2.08),P＜0.01];and multicomponent physical activity could efficiently increase the scores of functional reach[MD=4.50,95％CI(2.58,6.42),P＜0.01],Berg Balance Scale[MD=1.05,95％CI(0.39,1.71),P＜0.01],Five-Times Sit-To-stand Test[MD=-3.15,95％CI(-4.80,-1.50),P＜0.01],Short Physical Performance Battery[MD=0.55,95％CI(0.37,0.74),P＜0.01],and Falls Efficacy Scale-International[MD=-0.41,95％CI(0.69,-0.13),P＜0.01].Conclusion:Exercise interventions can effectively improve balance,enhance limb strength and functional ability,and reduce fear of falling,and lower the risk of falls in older adults.The components of different intervention programs(such as type of exercise,duration,frequency,and session length)have varying dose-response relationships with the results of fall risk screening tests in older adults.

Internet of Things (IoT) technology plays an important role in smart healthcare. This paper discusses IoT solution for emergency medical devices in hospitals. Based on the cloud-edge-device architecture, different medical devices were connected; Streaming data were parsed, distributed, and computed at the edge nodes; Data were stored, analyzed and visualized in the cloud nodes. The IoT system has been working steadily for nearly 20 months since it run in the emergency department in January 2021. Through preliminary analysis with collected data, IoT performance testing and development of early warning model, the feasibility and reliability of the in-hospital emergency medical devices IoT was verified, which can collect data for a long time on a large scale and support the development and deployment of machine learning models. The paper ends with an outlook on medical device data exchange and wireless transmission in the IoT of emergency medical devices, the connection of emergency equipment inside and outside the hospital, and the next step of analyzing IoT data to develop emergency intelligent IoT applications.
Internet of Things ; Reproducibility of Results ; Internet ; Machine Learning ; Technology