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- 2019
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Tidskriftsartikel (refereegranskat)
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| 2. |
- Cong, Lin, et al.
(författare)
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Use of Cardiovascular Drugs for Primary and Secondary Prevention of Cardiovascular Disease Among Rural-Dwelling Older Chinese Adults
- 2020
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Ingår i: Frontiers in Pharmacology. - : Frontiers Media SA. - 1663-9812. ; 11
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Tidskriftsartikel (refereegranskat)abstract
- Cardiovascular risk factors and related disorders are common among older adults, and use of various classes of cardiovascular (CV) drugs could reduce the risk of cardiovascular disease (CVD). However, data are sparse with regard to the use of CV drugs among rural-dwelling older adults in China. Therefore, this population-based study aimed to describe use of CV drugs among older adults living in the rural communities in China, while taking into account the use of CV drugs for primary and secondary prevention of CVDs. This study included 5,246 participants (age >= 65 years; 57.17% women; 40.68% illiteracy) in the baseline examination of the MIND-China study. In March-September 2018, data on health-related factors, CVDs (ischemic heart disease, atrial fibrillation, heart failure, and stroke), and CV drug use were collected via face-to-face survey, clinical examination, and laboratory tests. We classified CV drugs according to the Anatomical Therapeutic Chemical classification system for western medications and specific cardiovascular effects for the products of traditional Chinese medicine (TCM). We conducted descriptive analysis. The overall prevalence of major cardiovascular risk factors ranged from 14.30% in diabetes and 23.81% in dyslipidemia to 66.70% in hypertension, and CVDs affected 35.07% of all participants (36.28% in women vs. 33.47% in men, p = 0.035). In the total sample, calcium channel blockers (C08) were most commonly used (10.39%), followed by TCM products (7.64%), hypoglycemic agents (A10, 4.73%), renin-angiotensin system (RAS)-acting agents (C09, 4.61%), and lipid-lowering agents (C10, 4.17%). The proportions of CV drugs for primary prevention (i.e., use of CV drugs among people without CVD) were 3.14% for antithrombotic agents (mainly aspirin), 1.38% for lipid-lowering agents, and 3.11% for RAS-acting agents; the corresponding figures for secondary prevention (i.e., use of CV drugs among people with CVD) were 13.97%, 9.35%, and 7.39%. In conclusion, despite highly prevalent cardiovascular risk factors and CVDs, a fairly low proportion of the rural-dwelling older adults take CV medications for primary and secondary prevention. Notably, TCM products are among the most commonly used CV drugs. These results call for additional efforts to promote implementation of the evidence-based recommendations for prevention of CVDs in the primary care settings.
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| 3. |
- Ren, Yifei, et al.
(författare)
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Prevalence, Incidence, and Progression of Cognitive Impairment, No Dementia Among Rural-Dwelling Chinese Older Adults
- 2022
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Ingår i: Journal of Alzheimer's Disease. - 1387-2877 .- 1875-8908. ; 85:4, s. 1583-1592
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Tidskriftsartikel (refereegranskat)abstract
- Background: Few studies have examined occurrence and progression of cognitive impairment, no dementia (CIND) in rural China.Objective: To determine the prevalence and incidence of CIND in rural-dwelling Chinese older adults, and to examine risk and protective factors associated with progression to CIND and dementia.Methods: This population-based study included 2,781 dementia-free participants (age≥65 years) who were examined at baseline (2014) and followed in 2018. Demographic, epidemiological, clinical, and neuropsychological data were collected following a structured questionnaire. We defined CIND according to subjective cognitive complaints and the age- and education-specific Mini-Mental State Examination (MMSE) score. Data were analyzed with the multinomial logistic regression models.Results: The overall prevalence of CIND was 10.54% and the incidence was 28.26 per 1,000 person-years. CIND at baseline was associated with the multi-adjusted odds ratio (OR) of 2.06 (95% confidence interval = 1.23–3.47) for incident dementia. Multinomial logistic regression analysis suggested that compared with no CIND, the multi-adjusted OR of incident CIND was 2.21 (1.51–3.23) for women and 0.62 (0.38–0.99) for high social support, whereas the multi-adjusted OR of incident dementia was 1.14 (1.09–1.18) for older age, 0.29 (0.16–0.53) for high education, and 2.91 (1.47–5.74) for having a stroke history.Conclusion: CIND affects over one-tenth of older adults living in rural communities of western Shandong province. People with CIND are twice as likely to progress to dementia as people without CIND. Female sex, low education, stroke history, and low social support are associated with an increased risk of progression from normal cognition to CIND or dementia.
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| 4. |
- Gutman, Boris A, et al.
(författare)
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A meta-analysis of deep brain structural shape and asymmetry abnormalities in 2,833 individuals with schizophrenia compared with 3,929 healthy volunteers via the ENIGMA Consortium
- 2022
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Ingår i: Human Brain Mapping. - : John Wiley & Sons. - 1065-9471 .- 1097-0193. ; 43:1, s. 352-372
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Tidskriftsartikel (refereegranskat)abstract
- Schizophrenia is associated with widespread alterations in subcortical brain structure. While analytic methods have enabled more detailed morphometric characterization, findings are often equivocal. In this meta-analysis, we employed the harmonized ENIGMA shape analysis protocols to collaboratively investigate subcortical brain structure shape differences between individuals with schizophrenia and healthy control participants. The study analyzed data from 2,833 individuals with schizophrenia and 3,929 healthy control participants contributed by 21 worldwide research groups participating in the ENIGMA Schizophrenia Working Group. Harmonized shape analysis protocols were applied to each site's data independently for bilateral hippocampus, amygdala, caudate, accumbens, putamen, pallidum, and thalamus obtained from T1-weighted structural MRI scans. Mass univariate meta-analyses revealed more-concave-than-convex shape differences in the hippocampus, amygdala, accumbens, and thalamus in individuals with schizophrenia compared with control participants, more-convex-than-concave shape differences in the putamen and pallidum, and both concave and convex shape differences in the caudate. Patterns of exaggerated asymmetry were observed across the hippocampus, amygdala, and thalamus in individuals with schizophrenia compared to control participants, while diminished asymmetry encompassed ventral striatum and ventral and dorsal thalamus. Our analyses also revealed that higher chlorpromazine dose equivalents and increased positive symptom levels were associated with patterns of contiguous convex shape differences across multiple subcortical structures. Findings from our shape meta-analysis suggest that common neurobiological mechanisms may contribute to gray matter reduction across multiple subcortical regions, thus enhancing our understanding of the nature of network disorganization in schizophrenia.
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| 5. |
- Petrov, Dmitry, et al.
(författare)
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Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging
- 2017
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Ingår i: Machine learning in medical imaging. MLMI (Workshop). - Cham : Springer International Publishing. ; 10541, s. 371-378
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Tidskriftsartikel (refereegranskat)abstract
- As very large studies of complex neuroimaging phenotypes become more common, human quality assessment of MRI-derived data remains one of the last major bottlenecks. Few attempts have so far been made to address this issue with machine learning. In this work, we optimize predictive models of quality for meshes representing deep brain structure shapes. We use standard vertex-wise and global shape features computed homologously across 19 cohorts and over 7500 human-rated subjects, training kernelized Support Vector Machine and Gradient Boosted Decision Trees classifiers to detect meshes of failing quality. Our models generalize across datasets and diseases, reducing human workload by 30-70%, or equivalently hundreds of human rater hours for datasets of comparable size, with recall rates approaching inter-rater reliability.
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| 6. |
- Zhang, Qi, et al.
(författare)
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Scored-GLIM as an effective tool to assess nutrition status and predict survival in patients with cancer
- 2021
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Ingår i: Clinical Nutrition. - : Elsevier. - 0261-5614 .- 1532-1983. ; 40:6, s. 4225-4233
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Tidskriftsartikel (refereegranskat)abstract
- Background & aims: The Global Leadership Initiative on Malnutrition (GLIM) released new universal criteria for diagnosing and grading malnutrition, and calls for further investigations not only in different clinical setting but also in GLIM itself including reference value, combination and weight of different GLIM criteria. This study aimed to weigh the GLIM criteria and develop a scored-GLIM system, and then validate as well as evaluate its application in nutritional assessment and survival prediction for patients with cancer. Design: A total of 3547 patients in the primary cohort and 415 patients in the validation cohort were included in the study. Patients' nutritional status were retrospectively assessed using the GLIM criteria. Kaplan-Meier survival curves and multivariate Cox regression analyses were performed to analyze the association between nutritional status and overall survival (OS). A nomogram was produced to quantify the GLIM criteria and develop the scored-GLIM system. C-index, receiver operating characteristic (ROC) curve and calibration curve analyses were performed to validate the predictive accuracy and discriminatory capacity of the scored-GLIM. Finally, a decision curve was applied to assess the clinical utility of the scored-GLIM system. Results: In the primary cohort, 70.3% of patients were diagnosed as malnutrition. The malnutrition severity grading according to the GLIM criteria were associated with the prognosis of patients with cancer (HR 1.42,1.23 to 1.65 for moderate malnutrition; HR 1.80,1.84 to 2.09 for severe malnutrition). The weight of each GLIM criteria was calculated, and unintentional weight loss was the most determining factor acting upon mortality (HR 1.82, 1.64 to 2.10 for stage II and HR 1.50, 1.31 to 1.73 for stage I). A nomogram was constructed by four factors of GLIM to weigh the GLIM criteria. The areas under the ROC curve were 65.3 (1-year ROC) and 65.5 (3-year ROC), and the C-index was 0.62, and the calibration curves fitted well. Decision curve analysis demonstrated the clinical usefulness of the scored-GLIM system. Conclusion: The accuracy and net clinical benefit of scored-GLIM system were similar to scored-PG-SGA but higher than GLIM both in nutrition assessment and in survival prediction for patients with cancer. These findings, along with its time-savings advantages over scored-PG-SGA, suggest scored-GLIM be a better nutritional assessment tool. (c) 2021 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.
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