Last data update: Aug 15, 2025. (Total: 49733 publications since 2009)
| Records 1-7 (of 7 Records) |
| Query Trace: Luk C [original query] |
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| Staffing and Budget Levels at Local Sexually Transmitted Disease Programs by County-Level Sociodemographic Characteristics During COVID-19
Luk C , Palar K , Ludovic J , Cramer R , Gift TL , Horowitz R , Leichliter JS . Sex Transm Dis 2025 52 (8) e37-e40 We examined the relationship between local health department sexually transmitted disease (STD) program staffing and budget changes and county-level sociodemographic characteristics. We found 2 population-level sociodemographic characteristics associated with STD budget cuts. Although staffing cuts were observed, none of the sociodemographic characteristics examined were associated with STD staffing cuts. |
| Lifetime risk, life expectancy, and years of life lost to type 2 diabetes in 23 high-income jurisdictions: a multinational, population-based study
Tomic D , Morton JI , Chen L , Salim A , Gregg EW , Pavkov ME , Arffman M , Balicer R , Baviera M , Boersma-van Dam E , Brinks R , Carstensen B , Chan JCN , Cheng YJ , Fosse-Edorh S , Fuentes S , Gardiner H , Gulseth HL , Gurevicius R , Ha KH , Hoyer A , Jermendy G , Kautzky-Willer A , Keskimäki I , Kim DJ , Kiss Z , Klimek P , Leventer-Roberts M , Lin CY , Lopez-Doriga Ruiz P , Luk AOY , Ma S , Mata-Cases M , Mauricio D , McGurnaghan S , Imamura T , Paul SK , Peeters A , Pildava S , Porath A , Robitaille C , Roncaglioni MC , Sugiyama T , Wang KL , Wild SH , Yekutiel N , Shaw JE , Magliano DJ . Lancet Diabetes Endocrinol 2022 10 (11) 795-803 BACKGROUND: Diabetes is a major public health issue. Because lifetime risk, life expectancy, and years of life lost are meaningful metrics for clinical decision making, we aimed to estimate these measures for type 2 diabetes in the high-income setting. METHODS: For this multinational, population-based study, we sourced data from 24 databases for 23 jurisdictions (either whole countries or regions of a country): Australia; Austria; Canada; Denmark; Finland; France; Germany; Hong Kong; Hungary; Israel; Italy; Japan; Latvia; Lithuania; the Netherlands; Norway; Scotland; Singapore; South Korea; Spain; Taiwan; the UK; and the USA. Our main outcomes were lifetime risk of type 2 diabetes, life expectancy in people with and without type 2 diabetes, and years of life lost to type 2 diabetes. We modelled the incidence and mortality of type 2 diabetes in people with and without type 2 diabetes in sex-stratified, age-adjusted, and calendar year-adjusted Poisson models for each jurisdiction. Using incidence and mortality, we constructed life tables for people of both sexes aged 20-100 years for each jurisdiction and at two timepoints 5 years apart in the period 2005-19 where possible. Life expectancy from a given age was computed as the area under the survival curves and lifetime lost was calculated as the difference between the expected lifetime of people with versus without type 2 diabetes at a given age. Lifetime risk was calculated as the proportion of each cohort who developed type 2 diabetes between the ages of 20 years and 100 years. We estimated 95% CIs using parametric bootstrapping. FINDINGS: Across all study cohorts from the 23 jurisdictions (total person-years 1 577 234 194), there were 5 119 585 incident cases of type 2 diabetes, 4 007 064 deaths in those with type 2 diabetes, and 11 854 043 deaths in those without type 2 diabetes. The lifetime risk of type 2 diabetes ranged from 16·3% (95% CI 15·6-17·0) for Scottish women to 59·6% (58·5-60·8) for Singaporean men. Lifetime risk declined with time in 11 of the 15 jurisdictions for which two timepoints were studied. Among people with type 2 diabetes, the highest life expectancies were found for both sexes in Japan in 2017-18, where life expectancy at age 20 years was 59·2 years (95% CI 59·2-59·3) for men and 64·1 years (64·0-64·2) for women. The lowest life expectancy at age 20 years with type 2 diabetes was observed in 2013-14 in Lithuania (43·7 years [42·7-44·6]) for men and in 2010-11 in Latvia (54·2 years [53·4-54·9]) for women. Life expectancy in people with type 2 diabetes increased with time for both sexes in all jurisdictions, except for Spain and Scotland. The life expectancy gap between those with and without type 2 diabetes declined substantially in Latvia from 2010-11 to 2015-16 and in the USA from 2009-10 to 2014-15. Years of life lost to type 2 diabetes ranged from 2·5 years (Latvia; 2015-16) to 12·9 years (Israel Clalit Health Services; 2015-16) for 20-year-old men and from 3·1 years (Finland; 2011-12) to 11·2 years (Israel Clalit Health Services; 2010-11 and 2015-16) for 20-year-old women. With time, the expected number of years of life lost to type 2 diabetes decreased in some jurisdictions and increased in others. The greatest decrease in years of life lost to type 2 diabetes occurred in the USA between 2009-10 and 2014-15 for 20-year-old men (a decrease of 2·7 years). INTERPRETATION: Despite declining lifetime risk and improvements in life expectancy for those with type 2 diabetes in many high-income jurisdictions, the burden of type 2 diabetes remains substantial. Public health strategies might benefit from tailored approaches to continue to improve health outcomes for people with diabetes. FUNDING: US Centers for Disease Control and Prevention and Diabetes Australia. |
| Trends in all-cause mortality among people with diagnosed diabetes in high-income settings: a multicountry analysis of aggregate data
Magliano DJ , Chen L , Carstensen B , Gregg EW , Pavkov ME , Salim A , Andes LJ , Balicer R , Baviera M , Chan JCN , Cheng YJ , Gardiner H , Gulseth HL , Gurevicius R , Ha KH , Jermendy G , Kim DJ , Kiss Z , Leventer-Roberts M , Lin CY , Luk AOY , Ma S , Mata-Cases M , Mauricio D , Nichols GA , Pildava S , Porath A , Read SH , Robitaille C , Roncaglioni MC , Lopez-Doriga Ruiz P , Wang KL , Wild SH , Yekutiel N , Shaw JE . Lancet Diabetes Endocrinol 2022 10 (2) 112-119 BACKGROUND: Population-level trends in mortality among people with diabetes are inadequately described. We aimed to examine the magnitude and trends in excess all-cause mortality in people with diabetes. METHODS: In this retrospective, multicountry analysis, we collected aggregate data from 19 data sources in 16 high-income countries or jurisdictions (in six data sources in Asia, eight in Europe, one from Australia, and four from North America) for the period from Jan 1, 1995, to Dec 31, 2016, (or a subset of this period) on all-cause mortality in people with diagnosed total or type 2 diabetes. We collected data from administrative sources, health insurance records, registries, and a health survey. We estimated excess mortality using the standardised mortality ratio (SMR). FINDINGS: In our dataset, there were approximately 21 million deaths during 0·5 billion person-years of follow-up among people with diagnosed diabetes. 17 of 19 data sources showed decreases in the age-standardised and sex-standardised mortality in people with diabetes, among which the annual percentage change in mortality ranged from -0·5% (95% CI -0·7 to -0·3) in Hungary to -4·2% (-4·3 to -4·1) in Hong Kong. The largest decreases in mortality were observed in east and southeast Asia, with a change of -4·2% (95% CI -4·3 to -4·1) in Hong Kong, -4·0% (-4·8 to -3·2) in South Korea, -3·5% (-4·0 to -3·0) in Taiwan, and -3·6% (-4·2 to -2·9) in Singapore. The annual estimated change in SMR between people with and without diabetes ranged from -3·0% (95% CI -3·0 to -2·9; US Medicare) to 1·6% (1·4 to 1·7; Lombardy, Italy). Among the 17 data sources with decreasing mortality among people with diabetes, we found a significant SMR increase in five data sources, no significant SMR change in four data sources, and a significant SMR decrease in eight data sources. INTERPRETATION: All-cause mortality in diabetes has decreased in most of the high-income countries we assessed. In eight of 19 data sources analysed, mortality decreased more rapidly in people with diabetes than in those without diabetes. Further longevity gains will require continued improvement in prevention and management of diabetes. FUNDING: US Centers for Disease Control and Prevention, Diabetes Australia Research Program, and Victoria State Government Operational Infrastructure Support Program. |
| Trends in the incidence of diagnosed diabetes: a multicountry analysis of aggregate data from 22 million diagnoses in high-income and middle-income settings
Magliano DJ , Chen L , Islam RM , Carstensen B , Gregg EW , Pavkov ME , Andes LJ , Balicer R , Baviera M , Boersma-van Dam E , Booth GL , Chan JCN , Chua YX , Fosse-Edorh S , Fuentes S , Gulseth HL , Gurevicius R , Ha KH , Hird TR , Jermendy G , Khalangot MD , Kim DJ , Kiss Z , Kravchenko VI , Leventer-Roberts M , Lin CY , Luk AOY , Mata-Cases M , Mauricio D , Nichols GA , Nielen MM , Pang D , Paul SK , Pelletier C , Pildava S , Porath A , Read SH , Roncaglioni MC , Lopez-Doriga Ruiz P , Shestakova M , Vikulova O , Wang KL , Wild SH , Yekutiel N , Shaw JE . Lancet Diabetes Endocrinol 2021 9 (4) 203-211 BACKGROUND: Diabetes prevalence is increasing in most places in the world, but prevalence is affected by both risk of developing diabetes and survival of those with diabetes. Diabetes incidence is a better metric to understand the trends in population risk of diabetes. Using a multicountry analysis, we aimed to ascertain whether the incidence of clinically diagnosed diabetes has changed over time. METHODS: In this multicountry data analysis, we assembled aggregated data describing trends in diagnosed total or type 2 diabetes incidence from 24 population-based data sources in 21 countries or jurisdictions. Data were from administrative sources, health insurance records, registries, and a health survey. We modelled incidence rates with Poisson regression, using age and calendar time (1995-2018) as variables, describing the effects with restricted cubic splines with six knots for age and calendar time. FINDINGS: Our data included about 22 million diabetes diagnoses from 5 billion person-years of follow-up. Data were from 19 high-income and two middle-income countries or jurisdictions. 23 data sources had data from 2010 onwards, among which 19 had a downward or stable trend, with an annual estimated change in incidence ranging from -1·1% to -10·8%. Among the four data sources with an increasing trend from 2010 onwards, the annual estimated change ranged from 0·9% to 5·6%. The findings were robust to sensitivity analyses excluding data sources in which the data quality was lower and were consistent in analyses stratified by different diabetes definitions. INTERPRETATION: The incidence of diagnosed diabetes is stabilising or declining in many high-income countries. The reasons for the declines in the incidence of diagnosed diabetes warrant further investigation with appropriate data sources. FUNDING: US Centers for Disease Control and Prevention, Diabetes Australia Research Program, and Victoria State Government Operational Infrastructure Support Program. |
| Impact of age at type 2 diabetes mellitus diagnosis on mortality and vascular complications: systematic review and meta-analyses
Nanayakkara N , Curtis AJ , Heritier S , Gadowski AM , Pavkov ME , Kenealy T , Owens DR , Thomas RL , Song S , Wong J , Chan JC , Luk AO , Penno G , Ji L , Mohan V , Amutha A , Romero-Aroca P , Gasevic D , Magliano DJ , Teede HJ , Chalmers J , Zoungas S . Diabetologia 2020 64 (2) 275-287 AIMS/HYPOTHESIS: Few studies examine the association between age at diagnosis and subsequent complications from type 2 diabetes. This paper aims to summarise the risk of mortality, macrovascular complications and microvascular complications associated with age at diagnosis of type 2 diabetes. METHODS: Data were sourced from MEDLINE and All EBM (Evidence Based Medicine) databases from inception to July 2018. Observational studies, investigating the effect of age at diabetes diagnosis on macrovascular and microvascular diabetes complications in adults with type 2 diabetes were selected according to pre-specified criteria. Two investigators independently extracted data and evaluated all studies. If data were not reported in a comparable format, data were obtained from authors, presented as minimally adjusted ORs (and 95% CIs) per 1 year increase in age at diabetes diagnosis, adjusted for current age for each outcome of interest. The study protocol was recorded with PROSPERO International Prospective Register of Systematic Reviews (CRD42016043593). RESULTS: Data from 26 observational studies comprising 1,325,493 individuals from 30 countries were included. Random-effects meta-analyses with inverse variance weighting were used to obtain the pooled ORs. Age at diabetes diagnosis was inversely associated with risk of all-cause mortality and macrovascular and microvascular disease (all p < 0.001). Each 1 year increase in age at diabetes diagnosis was associated with a 4%, 3% and 5% decreased risk of all-cause mortality, macrovascular disease and microvascular disease, respectively, adjusted for current age. The effects were consistent for the individual components of the composite outcomes (all p < 0.001). CONCLUSIONS/INTERPRETATION: Younger, rather than older, age at diabetes diagnosis was associated with higher risk of mortality and vascular disease. Early and sustained interventions to delay type 2 diabetes onset and improve blood glucose levels and cardiovascular risk profiles of those already diagnosed are essential to reduce morbidity and mortality. Graphical abstract. |
| The Lancet Commission on diabetes: using data to transform diabetes care and patient lives
Chan JCN , Lim LL , Wareham NJ , Shaw JE , Orchard TJ , Zhang P , Lau ESH , Eliasson B , Kong APS , Ezzati M , Aguilar-Salinas CA , McGill M , Levitt NS , Ning G , So WY , Adams J , Bracco P , Forouhi NG , Gregory GA , Guo J , Hua X , Klatman EL , Magliano DJ , Ng BP , Ogilvie D , Panter J , Pavkov M , Shao H , Unwin N , White M , Wou C , Ma RCW , Schmidt MI , Ramachandran A , Seino Y , Bennett PH , Oldenburg B , Gagliardino JJ , Luk AOY , Clarke PM , Ogle GD , Davies MJ , Holman RR , Gregg EW . Lancet 2020 396 (10267) 2019-2082 2020 will go down in history as the year when the global community was awakened to the fragility of human health and the interdependence of the ecosystem, economy, and humanity. Amid the COVID-19 pandemic, the vulnerability of people with diabetes during a public health emergency became evident by their at least 2 times increased risk of severe disease or death, especially in individuals with poorly controlled diabetes, comorbidities, or both. The disease burden caused by COVID-19, exacerbated by chronic conditions like diabetes, has inflicted a heavy toll on health-care systems and the global economy. | | In this Lancet Commission on diabetes, which embodies 4 years of extensive work on data curation, synthesis, and modelling, we urge policy makers, payers, and planners to collectively change the ecosystem, build capacity, and improve the clinical practice environment. Such actions will enable practitioners to systematically collect data during routine practice and to use these data effectively to diagnose early, stratify risks, define needs, improve care, evaluate solutions, and drive changes at patient, system, and policy levels to prevent and control diabetes and other non-communicable diseases. Emerging evidence regarding the possible damaging effects of severe acute respiratory syndrome coronavirus 2 on pancreatic islets implies the potential worsening of the COVID-19 pandemic and the diabetes epidemic, adding to the urgency of these collective actions. | | Prevention, early detection, prompt diagnosis, and continuing care with regular monitoring and ongoing evaluation are key elements in reducing the growing burden of diabetes. Given the silent and progressive nature of diabetes, it is epidemiological analyses that have provided a framework for identifying populations and subgroups at risk of diabetes and its complications. Although the total prevalence of diabetes reflects disease burden, incidence rates might reflect the effects of interventions among determinant factors that include, but are not limited to, political, socioeconomical, and technological changes within a population, area, or both. | | In 2019, 463 million people had diabetes worldwide, with 80% from low-income and middle-income countries. Over 70% of global deaths are due to non-communicable diseases, including diabetes, cardiovascular disease, cancer, and respiratory disease. On average, diabetes reduces life expectancy in people aged 40–60 years by 4–10 years and independently increases the risk of death from cardiovascular disease, renal disease, and cancer by 1·3–3·0 times. Diabetes is among the leading causes of non-traumatic lower extremity amputation and blindness, especially in people of working age. The co-occurrence of these morbidities severely impairs quality of life, reduces productivity, and causes major suffering. |
| Transmission of H7N9 influenza viruses with polymorphism at PB2 residue 627 in chickens and ferrets.
Luk GS , Leung CY , Sia SF , Choy KT , Zhou J , Ho CC , Cheung PP , Lee EF , Wai CK , Li PC , Ip SM , Poon LL , Lindsley WG , Peiris M , Yen HL . J Virol 2015
Poultry exposure is a major risk factor for human H7N9 zoonotic infections of which the mode of transmission remains unclear. We studied the transmission of genetically related poultry and human H7N9 influenza viruses differed by four amino acids including the host determinant PB2 residue 627. A/Silkie Chicken/HK/1772/2014 (SCk1772) and A/HK/3263/14 (HK3263) replicated to comparable titers in chickens with superior oropharyngeal over cloacal shedding; both viruses transmitted efficiently among chickens via direct contact but inefficiently via airborne route. Interspecies transmission via the airborne route was observed for ferrets exposed to the SCk1772 or HK3263 infected chickens while low numbers of copies of influenza viral genome were detected in the air, predominantly at particle sizes larger than 4mum. In ferrets, the human isolate HK3263 replicated to higher titers and transmitted more efficiently via direct contact than SCk1772. We monitored "intra-host" and "inter-host" adaptive changes at PB2 residue 627 during infection and transmission of the SCK1772 that carried E627 and HK3263 that carried V/K/E polymorphism at 60%, 20%, and 20%, respectively. For SCk1772, positive selection for K627 over E627 was observed in ferrets during the chicken-to-ferret or ferret-to-ferret transmission. For HK3263 that contained V/K/E polymorphism, mixed V627 and E627 genotypes were transmitted among chickens while either V627 or K627 was transmitted from chicken-to-ferret or ferret-to-ferret with a narrow transmission bottleneck. Overall, our results suggest direct contact as the main mode for H7N9 transmission and identify the PB2-V627 genotype with uncompromised fitness and transmissibility in both avian and mammalian species. IMPORTANCE: We studied the modes of H7N9 transmission, as this information is crucial for developing effective control measures for prevention. Using chicken (SCk1772) and human (HK3263) H7N9 isolates that differed by four amino acids, including the host determinant PB2 residue 627, we observed both viruses transmitted efficiently among chickens via direct contact but inefficiently via airborne route. Chicken-to-ferret transmission via airborne route was observed along with the detection of viral genome in the air at low copies. In ferrets, HK3263 transmitted more efficiently than SCk1772 via direct contact. During the transmission of SCk1772 that contained E and HK3263 that contained V/K/E polymorphism at PB2 residue 627, positive selections of E627 and K627 were observed in chickens and ferrets, respectively. In addition, PB2-V627 was transmitted and stably maintained in both avian and mammalian species. Our results support applying intervention strategies that minimize direct and indirect contact at the poultry markets during epidemics. |
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