The Healthy China 2030 Plan set the goal of reducing premature deaths from diabetes by 30% by 2030. However, there has been a lack of assessment of premature mortality for diabetes since the action plan was issued. This study used data from the Global Burden of Disease Study 2021, calculated the premature deaths for diabetes by sex, provinces, and subtypes from 1990 to 2021. We explored the temporal trend of premature mortality using the average annual percent change (AAPC) for different sexes, provinces, and subtypes from 1990 to 2021. Furthermore, we predicted premature mortality for diabetes through 2030 for China and its provinces according to the average annual change rate from 2010 to 2021. There was a first slow upward trend in premature mortality for diabetes from 0.5% in 1990 to 0.6% in 2004, and then a decline until 2021 with premature mortality of 0.4%. By 2030, only Fujian (30.3%) will achieve the desired level of reduction, with only seven provinces meeting the target for females and none for males. There is a large range in the degree of decline between inland and coastal regions, showing obvious geographic differences, and there should be a focus on balancing medical resources.
Humans ; China/epidemiology* ; Female ; Male ; Mortality, Premature/trends* ; Diabetes Mellitus/mortality* ; Goals ; Middle Aged ; Adult

Objective To investigate the loci in the STRtyper-21G kit that are prone to tolerance mismatches when compared with the GlobalFilerTM kit and the PowerPlex? 21 kit,and to analyze the underlying causes.Methods A total of 5,870 database comparison reports involving STRtyper-21G profiles and other autosomal STR kits were examined for identity alignment.Samples showing mismatched loci were re-tested using the STRtyper-21G,GlobalFilerTM,and PowerPlex? 21 kits.For loci with mismatches,primers were redesigned and sequencing was performed.Results Eight mismatched samples(8/5 870)were identified,involving the loci D18S51,D8S1179,and D2S1338.Sequencing revealed that the allele dropout at D18S51 was due to a G→A mutation at the 79th base upstream of the core sequence;at D8S1179,a C→A mutation at the 4th base upstream;and at D2S1338,a C→T mutation at the 22nd base downstream.Conclusion All mismatches were attributable to mutations in primer binding regions.These findings provide reference for interpreting mismatch results in the STRtyper-21G database.When mismatches occur at these loci and the profiles are homozygous,exclusion conclusions should be made with caution.

OBJECTIVE To evaluate the economic burden of the intensive care unit(ICU)patients due to hospital-associated multidrug-resistant organisms(MDROs)infections based on propensity score matching(PSM)so as to provide evidence-based bases for prevention and control of hospital-associated MDROs infection and improvement of utilization efficiency of medical resources.METHODS A total of 2118 patients who were hospitalized in Zibo Central Hospital from Jan.1,2023 to Dec.31,2024 and conformed to the inclusion and exclusion criteria were re-cruited as the research subjects.The patients with hospital-associated MDROs infections were matched in a 1∶1 ratio by PSM(with the clamp value 0.02).Totally 309 pairs were successfully matched.The length of hospital stay and the costs were observed and compared between the MDROs group and the non-MDROs group.RESULTS The MDROs group was with the length of hospital stay 14.00 days longer than the non-MDROs group after the matching(Z=-5.750,P＜0.001),with the total cost of hospitalization increased by 91,420.84 yuan(Z=-8.271,P＜0.001).With the respect to the medical treatment expenses,the expenses of the MDROs group were higher than those of the non-MDROs group,covering the cost of medical service,therapeutic procedures,nursing,western medicine and TCM,and there were significant differences(P＜0.05).Among the differences in the costs between the two groups,the difference in the cost of western medicine was the most signif-icant(22,182.91 yuan),followed by the cost of clinical laboratory test for diagnosis(19,529.60 yuan)and the cost of therapeutic procedures(16,333.50 yuan).CONCLUSIONS The hospital-associated MDROs infections may lead to the extension of hospital stay length of the ICU patients,which then increases the economic burden.There-fore,it is necessary to strengthen the multidisciplinary collaboration and formulate corresponding measures so as to reduce the risk of such infections among the ICU patients.

Objective: To evaluate the suitability of the existing hemolysis rate standards for locally processed red blood cell components by retrospectively analyzing 5-year hemolysis rate data at the end of storage. Methods: A total of 720 blood samples of three types of red blood cell components from our blood station from January 2019 to December 2023 were collected. Parameters included hemoglobin concentration (Hb), hematocrit (Hct), and free hemoglobin concentration (fHb). Hemolysis rate were taken as the control standard of 0.8% in accordance with the national standard. The hemolysis rates were compared against the national standard threshold of 0.8% (GB18469-2012), and annual trends of the detection parameters were observed. Results: The hemolysis rates (x-+s,%) of leukocyte-depleted whole blood at the end of storage were (0.038±0.023 8) in 2019, (0.049±0.039 5) in 2020, (0.043±0.040 7) in 2021, (0.049±0.030 7) in 2022, and (0.058±0.054 8) in 2023, respectively; The hemolysis rates (x-+s" />,%) of leukocyte-depleted suspended red blood cells at the end of storage were (0.093±0.050 2) in 2019, (0.086±0.049 5) in 2020, (0.123±0.072 3) in 2021, (0.122±0.052 1) in 2022, and (0.106±0.058 6) in 2023, respectively; The hemolysis rates (x-+s,%) of washed red blood cells at the end of storage were (0.127±0.038 2) in 2019, (0.150±0.066 5) in 2020, (0.121±0.052 2) in 2021, (0.124±0.038 9) in 2022, and (0.128±0.044 3) in 2023, respectively. Conclusion: Hemolysis rates at the end of blood storage of three red blood cell components were significantly lower than the limits specified in Quality Requirements for Whole Blood and Components (GB18469-2012), as well as standards from the EU, AABB and the United States. The results demonstrate excellent product quality control. A regional internal control standard of <0.2% is proposed for hemolysis rates at the end of storage.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

OBJECTIVE To evaluate the economic burden of the intensive care unit(ICU)patients due to hospital-associated multidrug-resistant organisms(MDROs)infections based on propensity score matching(PSM)so as to provide evidence-based bases for prevention and control of hospital-associated MDROs infection and improvement of utilization efficiency of medical resources.METHODS A total of 2118 patients who were hospitalized in Zibo Central Hospital from Jan.1,2023 to Dec.31,2024 and conformed to the inclusion and exclusion criteria were re-cruited as the research subjects.The patients with hospital-associated MDROs infections were matched in a 1∶1 ratio by PSM(with the clamp value 0.02).Totally 309 pairs were successfully matched.The length of hospital stay and the costs were observed and compared between the MDROs group and the non-MDROs group.RESULTS The MDROs group was with the length of hospital stay 14.00 days longer than the non-MDROs group after the matching(Z=-5.750,P＜0.001),with the total cost of hospitalization increased by 91,420.84 yuan(Z=-8.271,P＜0.001).With the respect to the medical treatment expenses,the expenses of the MDROs group were higher than those of the non-MDROs group,covering the cost of medical service,therapeutic procedures,nursing,western medicine and TCM,and there were significant differences(P＜0.05).Among the differences in the costs between the two groups,the difference in the cost of western medicine was the most signif-icant(22,182.91 yuan),followed by the cost of clinical laboratory test for diagnosis(19,529.60 yuan)and the cost of therapeutic procedures(16,333.50 yuan).CONCLUSIONS The hospital-associated MDROs infections may lead to the extension of hospital stay length of the ICU patients,which then increases the economic burden.There-fore,it is necessary to strengthen the multidisciplinary collaboration and formulate corresponding measures so as to reduce the risk of such infections among the ICU patients.

Objective To investigate the loci in the STRtyper-21G kit that are prone to tolerance mismatches when compared with the GlobalFilerTM kit and the PowerPlex? 21 kit,and to analyze the underlying causes.Methods A total of 5,870 database comparison reports involving STRtyper-21G profiles and other autosomal STR kits were examined for identity alignment.Samples showing mismatched loci were re-tested using the STRtyper-21G,GlobalFilerTM,and PowerPlex? 21 kits.For loci with mismatches,primers were redesigned and sequencing was performed.Results Eight mismatched samples(8/5 870)were identified,involving the loci D18S51,D8S1179,and D2S1338.Sequencing revealed that the allele dropout at D18S51 was due to a G→A mutation at the 79th base upstream of the core sequence;at D8S1179,a C→A mutation at the 4th base upstream;and at D2S1338,a C→T mutation at the 22nd base downstream.Conclusion All mismatches were attributable to mutations in primer binding regions.These findings provide reference for interpreting mismatch results in the STRtyper-21G database.When mismatches occur at these loci and the profiles are homozygous,exclusion conclusions should be made with caution.

Objective:To investigate the association between hyperuricemia and the risk for stroke occurrence, as well as the mediating effect of hypertension on this association.Methods:In this study, the China Chronic Diseases and Nutrition Surveillance system in 2015 was used as baseline data. We identified hospital admissions for stroke using the electronic homepage of inpatient medical records from 2013-2020, and death data were obtained from the 2015-2020 National Mortality Surveillance System. A retrospective cohort was established after matching and linking the database. The Cox proportional hazard regression model was used to analyze the relationship between hyperuricemia and the risk of stroke and its subtypes. Restricted cubic spline analysis was conducted to examine the dose-response relationship between serum uric acid levels and the risk for stroke. Mediation analysis was performed to investigate the mediating effect of hypertension on the association between hyperuricemia and the risk for stroke and its subtypes. Subgroup analyses were conducted based on gender and age groups.Results:A total of 124 352 study subjects were included, with an accumulative follow-up time of 612 911.36 person-years. During the follow-up period, 4 638 cases of stroke were found, including 3 919 cases of ischemic stroke and 689 cases of hemorrhagic stroke. The incidence density of stroke was 756.72 per 100 000 person-years, 641.37 per 100 000 person-years for ischemic stroke, and 114.60 per 100 000 person-years for hemorrhagic stroke. Multivariable Cox proportional hazards regression models showed that after adjusting for covariates, compared to those without hyperuricemia, individuals with hyperuricemia had a 16% higher risk for stroke [hazard ratio ( HR)=1.16, 95% CI: 1.06-1.27], a 12% higher risk of ischemic stroke ( HR=1.12, 95% CI: 1.01-1.24), and a 39% higher risk of hemorrhagic stroke ( HR=1.39, 95% CI: 1.11-1.75). Mediation analysis showed that hypertension partially mediated the associations between hyperuricemia and the risk for stroke, ischemic stroke, and hemorrhagic stroke, with mediation proportions of 36.07%, 39.98%, and 25.34%, respectively. The mediating effect is pronounced in the male population and individuals below 65. Conclusion:Hyperuricemia is a risk factor for stroke, and hypertension partially mediates the effect of hyperuricemia on stroke.

Objective:To study the prevalence and association factors of depressive and anxiety disorders in the hypertensive population.Methods:Using the database obtained from the 2013 China Chronic Disease and Risk Factor Surveillance and the 2013-2015 China Mental Health Survey,4 861 hypertensive residents were used as study subjects.And using the Diagnostic and Statistical Manual of Mental Disorders,Fourth Edition(DSM-Ⅳ)as diagnostic criterion for depressive and anxiety disorders,the 12-month prevalence was calculated.Multifactorial lo-gistic regression models were used to explore the association factors of hypertension comorbid depressive and anxie-ty disorders.Results:The 12-month prevalence rates of depressive disorders and anxiety disorders were 4.1％and 5.0％in 4 861 hypertensive residents.Chinese Han[OR(95％CI):2.00(1.01-3.93)],lack of sleep[OR(95％CI):1.82(1.34-2.48)],having myocardial infarction[OR(95％CI):2.35(1.18～4.67)]and stroke in the past year[OR(95％CI):2.10(1.19-3.72)],and chronic obstructive pulmonary disease[OR(95％CI):2.11(1.11-4.05)]were risk factors of hypertension comorbid depressive disorder.Hypertensive people with controlled blood pressure[OR(95％CI):2.01(1.30-3.13)]had a higher risk of co-morbid depressive disorder than those with blood pressure above the normal range on this measurement.Chinese Han[OR(95％CI):2.51(1.32-4.80)],Southwest China[OR(95％CI):1.64(1.02-2.63)],and lack of sleep[OR(95％CI):1.45(1.09-1.93)]were risk factors of hypertension comorbid anxiety disorder.Former but current non-smoking[OR(95％CI):0.48(0.23-0.99)]was a protective factor of hypertension comorbid anxiety disorder.Conclusion:The 12-month prevalence of anxiety disorder was higher than that of depressive disorder in this hypertensive population.Both Han and sleep deprived hypertensive people had a higher risk of comorbid depressive and anxiety disorders.