Background Coronary heart disease （CHD） is the most common type of heart disease and cause of heart attacks.This study investigated the epidemiological characteristics of CHD and its risk factors in Jiaozhou,Shandon...Background Coronary heart disease （CHD） is the most common type of heart disease and cause of heart attacks.This study investigated the epidemiological characteristics of CHD and its risk factors in Jiaozhou,Shandong province,to ultimately find a way of reducing the prevalence of cardiovascular disease,and to provide a theoretical basis for establishing a cardiovascular disease management path under the regional medical collaborative mechanism.Methods A questionnaire survey was performed including 1 952 people aged 35 years or older who were questioned by means of stratified,cluster,proportional sampling to investigate the prevalence of CHD and its risk factors.The data were inputted into SPSS11.0 statistical software for processing and analysis.We advised the local medical institutions to establish health files for the residents with CHD and risk factors.They were followed up regularly.Their risk factors and life-style were monitored,and advice was given as to proper medications.Green channels were established,and the patients were transmitted in a timely manner to superior hospitals for better treatment if the necessary treatments were not available in the local hospitals.The control of risk factors was observed after the follow-up for half a year.Results In Jiaozhou,the rates of coronary artery disease,hypertension,diabetes,hyperlipidemia and overweight were 8.15％,28.54％,11.43％,35.46％,and 18.70％ respectively.The rates of hypertension,diabetes,hyperlipidemia and overweight were higher than the data published in ＂The report of Chinese cardiovascular disease 2012＂; which are 24％,9.7％,18.6％,and 9.7％,respectively.The control of risk factors improved significantly after the guidance of the residents lifestyle and medication for six months.Conclusions The high prevalence of coronary artery disease in Jiaozhou is closely related to age,gender,diet structure,family history of cardiovascular disease,hypertension,diabetes,hyperlipidemia,overweight,and unhealthy lifestyle.Under the regional medic展开更多
Rail transit plays a key role in mitigating transportation system carbon emissions.Accurate measurement of urban rail transit carbon emission can help quantify the contribution of urban rail transit towards urban tran...Rail transit plays a key role in mitigating transportation system carbon emissions.Accurate measurement of urban rail transit carbon emission can help quantify the contribution of urban rail transit towards urban transportation carbon emission reduction.Since the whole life cycle of urban rail transit carbon emission measurement involves a wide range of aspects,a systematic framework model is required for analysis.This research reviews the existing studies on carbon emission of urban rail transit.First,the characteristics of urban rail transit carbon emission were determined and the complexity of carbon emission measurement was analyzed.Then,the urban rail transit carbon emission measurement models were compared and analyzed in terms of the selection of research boundaries,the types of greenhouse gas(GHG)emissions calculation,and the accuracy of the measurement.Following that,an intelligent station was introduced to analyze the practical application of digital collaboration technology and energy-saving and carbon-reducing system platforms for rail transit.Finally,the urgent problems and future research directions at this stage were discussed.This research presents the necessity of establishing a dynamic carbon emission factor library and the important development trend of system integration of carbon emission measurement and digital system technology.展开更多
BACKGROUND Severe pneumonia is a common severe respiratory infection worldwide,and its treatment is challenging,especially for patients in the intensive care unit(ICU).AIM To explore the effect of communication and co...BACKGROUND Severe pneumonia is a common severe respiratory infection worldwide,and its treatment is challenging,especially for patients in the intensive care unit(ICU).AIM To explore the effect of communication and collaboration between nursing teams on the treatment outcomes of patients with severe pneumonia in ICU.METHODS We retrospectively analyzed 60 patients with severe pneumonia who were treated at the ICU of the hospital between January 1,2021 and December 31,2023.We compared and analyzed the respiratory mechanical indexes[airway resistance(Raw),mean airway pressure(mPaw),peak pressure(PIP)],blood gas analysis indexes(arterial oxygen saturation,arterial oxygen partial pressure,and oxygenation index),and serum inflammatory factor levels[C-reactive protein(CRP),procalcitonin(PCT),cortisol(COR),and high mobility group protein B1(HMGB1)]of all patients before and after treatment.RESULTS Before treatment,there was no significant difference in respiratory mechanics index and blood gas analysis index between 2 groups(P>0.05).However,after treatment,the respiratory mechanical indexes of patients in both groups were significantly improved,and the improvement of Raw,mPaw,plateau pressure,PIP and other indexes in the combined group after communication and collaboration with the nursing team was significantly better than that in the single care group(P<0.05).The serum CRP and PCT levels of patients were significantly decreased,and the difference was statistically significant compared with that of nursing group alone(P<0.05).The levels of serum COR and HMGB1 before and after treatment were also significantly decreased between the two groups.CONCLUSION The communication and collaboration of the nursing team have a significant positive impact on respiratory mechanics indicators,blood gas analysis indicators and serum inflammatory factor levels in the treatment of severe pneumonia patients in ICU.展开更多
文摘Background Coronary heart disease （CHD） is the most common type of heart disease and cause of heart attacks.This study investigated the epidemiological characteristics of CHD and its risk factors in Jiaozhou,Shandong province,to ultimately find a way of reducing the prevalence of cardiovascular disease,and to provide a theoretical basis for establishing a cardiovascular disease management path under the regional medical collaborative mechanism.Methods A questionnaire survey was performed including 1 952 people aged 35 years or older who were questioned by means of stratified,cluster,proportional sampling to investigate the prevalence of CHD and its risk factors.The data were inputted into SPSS11.0 statistical software for processing and analysis.We advised the local medical institutions to establish health files for the residents with CHD and risk factors.They were followed up regularly.Their risk factors and life-style were monitored,and advice was given as to proper medications.Green channels were established,and the patients were transmitted in a timely manner to superior hospitals for better treatment if the necessary treatments were not available in the local hospitals.The control of risk factors was observed after the follow-up for half a year.Results In Jiaozhou,the rates of coronary artery disease,hypertension,diabetes,hyperlipidemia and overweight were 8.15％,28.54％,11.43％,35.46％,and 18.70％ respectively.The rates of hypertension,diabetes,hyperlipidemia and overweight were higher than the data published in ＂The report of Chinese cardiovascular disease 2012＂; which are 24％,9.7％,18.6％,and 9.7％,respectively.The control of risk factors improved significantly after the guidance of the residents lifestyle and medication for six months.Conclusions The high prevalence of coronary artery disease in Jiaozhou is closely related to age,gender,diet structure,family history of cardiovascular disease,hypertension,diabetes,hyperlipidemia,overweight,and unhealthy lifestyle.Under the regional medic
基金supported by Beijing Natural Science Foundation(J210001)Natural Science Foundation of Hebei Province(E2021210142)Tianjin Natural Science Foundation(21JCZXJC00160).
文摘Rail transit plays a key role in mitigating transportation system carbon emissions.Accurate measurement of urban rail transit carbon emission can help quantify the contribution of urban rail transit towards urban transportation carbon emission reduction.Since the whole life cycle of urban rail transit carbon emission measurement involves a wide range of aspects,a systematic framework model is required for analysis.This research reviews the existing studies on carbon emission of urban rail transit.First,the characteristics of urban rail transit carbon emission were determined and the complexity of carbon emission measurement was analyzed.Then,the urban rail transit carbon emission measurement models were compared and analyzed in terms of the selection of research boundaries,the types of greenhouse gas(GHG)emissions calculation,and the accuracy of the measurement.Following that,an intelligent station was introduced to analyze the practical application of digital collaboration technology and energy-saving and carbon-reducing system platforms for rail transit.Finally,the urgent problems and future research directions at this stage were discussed.This research presents the necessity of establishing a dynamic carbon emission factor library and the important development trend of system integration of carbon emission measurement and digital system technology.
文摘BACKGROUND Severe pneumonia is a common severe respiratory infection worldwide,and its treatment is challenging,especially for patients in the intensive care unit(ICU).AIM To explore the effect of communication and collaboration between nursing teams on the treatment outcomes of patients with severe pneumonia in ICU.METHODS We retrospectively analyzed 60 patients with severe pneumonia who were treated at the ICU of the hospital between January 1,2021 and December 31,2023.We compared and analyzed the respiratory mechanical indexes[airway resistance(Raw),mean airway pressure(mPaw),peak pressure(PIP)],blood gas analysis indexes(arterial oxygen saturation,arterial oxygen partial pressure,and oxygenation index),and serum inflammatory factor levels[C-reactive protein(CRP),procalcitonin(PCT),cortisol(COR),and high mobility group protein B1(HMGB1)]of all patients before and after treatment.RESULTS Before treatment,there was no significant difference in respiratory mechanics index and blood gas analysis index between 2 groups(P>0.05).However,after treatment,the respiratory mechanical indexes of patients in both groups were significantly improved,and the improvement of Raw,mPaw,plateau pressure,PIP and other indexes in the combined group after communication and collaboration with the nursing team was significantly better than that in the single care group(P<0.05).The serum CRP and PCT levels of patients were significantly decreased,and the difference was statistically significant compared with that of nursing group alone(P<0.05).The levels of serum COR and HMGB1 before and after treatment were also significantly decreased between the two groups.CONCLUSION The communication and collaboration of the nursing team have a significant positive impact on respiratory mechanics indicators,blood gas analysis indicators and serum inflammatory factor levels in the treatment of severe pneumonia patients in ICU.
