Background: Non-alcoholic fatty liver disease (NAFLD) is considered to be the liver component of the metabolic syndrome and is frequently associated with obe sity, dyslipidemia and type II diabetes mellitus (NIDDM).We...Background: Non-alcoholic fatty liver disease (NAFLD) is considered to be the liver component of the metabolic syndrome and is frequently associated with obe sity, dyslipidemia and type II diabetes mellitus (NIDDM).We aimed to determine t he development of liver function tests (LFTs) and metabolic complications in pat ients previously diagnosed with NAFLD. Methods: One-hundred-and-two patients with NAFLD diagnosed in the period 1994-2001 were identified. Eighty were broug ht in for new investigations, including LFTs, blood pressure, BMI, lipid profile , blood glucose and insulin. Original liver biopsy was re-evaluated. Results: S ixty-two patients (77%) were males (median age 46 years; mean follow-up time 2.8 ±1.2 years). Fifty-four patients (68%) were light to moderately overweigh t with body mass index (BMI) 25-30 kg/m 2. Mean BMI (28.2) was the same at diag nosis and at follow-up (28.3). At the new examination, 18 patients (23%) had d eveloped diabetes mellitus type II (n = 6) or had impaired fasting glucose (IFG) (n = 12), compared to only 2 patients at diagnosis. Hyperinsulinemia was observ ed in 19 patients (24%). Dyslipidemia, with elevated triglycerides and/or hyper cholesterolemia, was now present in 65 patients (81%). Twenty-two patients (27 %) had hypertension compared to 9 (11%) at diagnosis. Liver biopsy was perform ed in 24%, and 89%of those fulfilled the criteria for NAFLD. However,mild infl ammation and fibrosis was observed, grade 1-2 (n = 17), stage I-II (n = 13) an d none had cirrhosis. Conclusion: A significant proportion of patients with both clinical and histological diagnosis of NAFLD develop metabolic problems soon af ter diagnosis. These patients should be screened regularly for metabolic disorde rs.展开更多
The United Nations 2030 Agenda for Sustainable Development provides an important framework for economic,social,and environmental action.A comprehensive indicator system to aid in the systematic implementation and moni...The United Nations 2030 Agenda for Sustainable Development provides an important framework for economic,social,and environmental action.A comprehensive indicator system to aid in the systematic implementation and monitoring of progress toward the Sustainable Development Goals(SDGs)is unfortunately limited in many countries due to lack of data.The availability of a growing amount of multi-source data and rapid advancements in big data methods and infrastructure provide unique opportunities to mitigate these data shortages and develop innovative methodologies for comparatively monitoring SDGs.Big Earth Data,a special class of big data with spatial attributes,holds tremendous potential to facilitate science,technology,and innovation toward implementing SDGs around the world.Several programs and initiatives in China have invested in Big Earth Data infrastructure and capabilities,and have successfully carried out case studies to demonstrate their utility in sustainability science.This paper presents implementations of Big Earth Data in evaluating SDG indicators,including the development of new algorithms,indicator expansion(for SDG 11.4.1)and indicator extension(for SDG 11.3.1),introduction of a biodiversity risk index as a more effective analysis method for SDG 15.5.1,and several new high-quality data products,such as global net ecosystem productivity,high-resolution global mountain green cover index,and endangered species richness.These innovations are used to present a comprehensive analysis of SDGs 2,6,11,13,14,and 15 from 2010 to 2020 in China utilizing Big Earth Data,concluding that all six SDGs are on schedule to be achieved by 2030.展开更多
文摘Background: Non-alcoholic fatty liver disease (NAFLD) is considered to be the liver component of the metabolic syndrome and is frequently associated with obe sity, dyslipidemia and type II diabetes mellitus (NIDDM).We aimed to determine t he development of liver function tests (LFTs) and metabolic complications in pat ients previously diagnosed with NAFLD. Methods: One-hundred-and-two patients with NAFLD diagnosed in the period 1994-2001 were identified. Eighty were broug ht in for new investigations, including LFTs, blood pressure, BMI, lipid profile , blood glucose and insulin. Original liver biopsy was re-evaluated. Results: S ixty-two patients (77%) were males (median age 46 years; mean follow-up time 2.8 ±1.2 years). Fifty-four patients (68%) were light to moderately overweigh t with body mass index (BMI) 25-30 kg/m 2. Mean BMI (28.2) was the same at diag nosis and at follow-up (28.3). At the new examination, 18 patients (23%) had d eveloped diabetes mellitus type II (n = 6) or had impaired fasting glucose (IFG) (n = 12), compared to only 2 patients at diagnosis. Hyperinsulinemia was observ ed in 19 patients (24%). Dyslipidemia, with elevated triglycerides and/or hyper cholesterolemia, was now present in 65 patients (81%). Twenty-two patients (27 %) had hypertension compared to 9 (11%) at diagnosis. Liver biopsy was perform ed in 24%, and 89%of those fulfilled the criteria for NAFLD. However,mild infl ammation and fibrosis was observed, grade 1-2 (n = 17), stage I-II (n = 13) an d none had cirrhosis. Conclusion: A significant proportion of patients with both clinical and histological diagnosis of NAFLD develop metabolic problems soon af ter diagnosis. These patients should be screened regularly for metabolic disorde rs.
基金supported by the Big Earth Data Science Engineering Program of the Chinese Academy of Sciences Strategic Priority Research Program(XDA19090000 and XDA19030000)。
文摘The United Nations 2030 Agenda for Sustainable Development provides an important framework for economic,social,and environmental action.A comprehensive indicator system to aid in the systematic implementation and monitoring of progress toward the Sustainable Development Goals(SDGs)is unfortunately limited in many countries due to lack of data.The availability of a growing amount of multi-source data and rapid advancements in big data methods and infrastructure provide unique opportunities to mitigate these data shortages and develop innovative methodologies for comparatively monitoring SDGs.Big Earth Data,a special class of big data with spatial attributes,holds tremendous potential to facilitate science,technology,and innovation toward implementing SDGs around the world.Several programs and initiatives in China have invested in Big Earth Data infrastructure and capabilities,and have successfully carried out case studies to demonstrate their utility in sustainability science.This paper presents implementations of Big Earth Data in evaluating SDG indicators,including the development of new algorithms,indicator expansion(for SDG 11.4.1)and indicator extension(for SDG 11.3.1),introduction of a biodiversity risk index as a more effective analysis method for SDG 15.5.1,and several new high-quality data products,such as global net ecosystem productivity,high-resolution global mountain green cover index,and endangered species richness.These innovations are used to present a comprehensive analysis of SDGs 2,6,11,13,14,and 15 from 2010 to 2020 in China utilizing Big Earth Data,concluding that all six SDGs are on schedule to be achieved by 2030.
