9 research outputs found

    BULK COMMODITY BARGE TRAFFIC ON ST. PAUL DISTRICT WATERWAYS IN 1985: PROJECTIONS AND IMPACTS

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    This study was undertaken to determine the probable future movements of bulk commodities by barge to and from river ports in the U.S. Army Corps of Engineers' St. Paul District. The projected movements are analyzed in physical and economic terms useful to the formulation and evaluation of alternative river management plans.Marketing,

    BULK COMMODITY BARGE TRAFFIC ON ST. PAUL DISTRICT WATERWAYS IN 1985: PROJECTIONS AND IMPACTS

    Get PDF
    This study was undertaken to determine the probable future movements of bulk commodities by barge to and from river ports in the U.S. Army Corps of Engineers' St. Paul District. The projected movements are analyzed in physical and economic terms useful to the formulation and evaluation of alternative river management plans

    Framing the wider determinants of health: Reflections and learning from a knowledge mobilisation exercise with an English local authority

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    Background: Health inequalities remain a persistent problem in the UK. One contributing factor may be how health inequalities are framed in professional and public debate. Dominant understandings of health focus on the individual, personal choice, lifestyle and (un)healthy behaviour. This project sought to reframe health inequalities as a ‘systemic’ or structural problem using extant guidance. This was intended to support the work of a local authority in England working to address health inequalities. Project design: An academic-practitioner participatory knowledge mobilisation exercise with a local authority public health team using recent guidance and reflective feedback and the iterative development of actionable tools. There were four discrete stages to the exercise. Methods: Two on-line and one face-to-face participatory, deliberative workshops designed to co-create reframed public health challenges and solutions based on team portfolios. Iterative feedback provided by the researcher to support the development of actionable tools. Results: Six topic areas were developed with a systemic framing: 1. Food insecurity, 2. Obesity, 3. Prostate cancer among Black men, 4. Cost of living, 5. Mental health, suicide prevention and Gypsy, Roma, Traveller communities, 6. Healthy streets. Reflections from the process revealed some perceived advantages of engaging in a systemic framing of the wider determinants of health, some limitations and issues to consider in a local setting. Benefits included: Clarity in a complex field; structured thinking about what to communicate and how; eliminated jargon; could be made locally relevant. Challenges included: Sustaining a consistent framing; maintaining the technique; knowing if was making a difference; slipping back into dominant (individualised) framings, especially in free-flowing discussion. Conclusions: The process of reframing the wider determinants of health using recent guidance in a local authority setting was broadly helpful in developing coherence and consistency across the public health team. There were challenges to adopting the approach and evaluation of its impact locally would be beneficial

    Development, validation, and prognostic evaluation of a risk score for long-term liver-related outcomes in the general population: a multicohort study

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    Background: Liver cirrhosis is a major cause of death worldwide. Cirrhosis develops after a long asymptomatic period of fibrosis progression, with the diagnosis frequently occurring late, when major complications or cancer develop. Few reliable tools exist for timely identification of individuals at risk of cirrhosis to allow for early intervention. We aimed to develop a novel score to identify individuals at risk for future liver-related outcomes. Methods: We derived the LiverRisk score from an international prospective cohort of individuals from six countries without known liver disease from the general population, who underwent liver fibrosis assessment by transient elastography. The score included age, sex, and six standard laboratory variables. We created four groups: minimal risk, low risk, medium risk, and high risk according to selected cutoff values of the LiverRisk score (6, 10, and 15). The model's discriminatory accuracy and calibration were externally validated in two prospective cohorts from the general population. Moreover, we ascertained the prognostic value of the score in the prediction of liver-related outcomes in participants without known liver disease with median follow-up of 12 years (UK Biobank cohort). Findings: We included 14 726 participants: 6357 (43·2%) in the derivation cohort, 4370 (29·7%) in the first external validation cohort, and 3999 (27·2%) in the second external validation cohort. The score accurately predicted liver stiffness in the development and external validation cohorts, and was superior to conventional serum biomarkers of fibrosis, as measured by area under the receiver-operating characteristics curve (AUC; 0·83 [95% CI [0·78-0·89]) versus the fibrosis-4 index (FIB-4; 0·68 [0·61-0·75] at 10 kPa). The score was effective in identifying individuals at risk of liver-related mortality, liver-related hospitalisation, and liver cancer, thereby allowing stratification to different risk groups for liver-related outcomes. The hazard ratio for liver-related mortality in the high-risk group was 471 (95% CI 347-641) compared with the minimal risk group, and the overall AUC of the score in predicting 10-year liver-related mortality was 0·90 (0·88-0·91) versus 0.84 (0·82-0·86) for FIB-4. Interpretation: The LiverRisk score, based on simple parameters, predicted liver fibrosis and future development of liver-related outcomes in the general population. The score might allow for stratification of individuals according to liver risk and thus guide preventive care. Funding: None

    Development, validation, and prognostic evaluation of a risk score for long-term liver-related outcomes in the general population: a multicohort study

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    BACKGROUND: Liver cirrhosis is a major cause of death worldwide. Cirrhosis develops after a long asymptomatic period of fibrosis progression, with the diagnosis frequently occurring late, when major complications or cancer develop. Few reliable tools exist for timely identification of individuals at risk of cirrhosis to allow for early intervention. We aimed to develop a novel score to identify individuals at risk for future liver-related outcomes. METHODS: We derived the LiverRisk score from an international prospective cohort of individuals from six countries without known liver disease from the general population, who underwent liver fibrosis assessment by transient elastography. The score included age, sex, and six standard laboratory variables. We created four groups: minimal risk, low risk, medium risk, and high risk according to selected cutoff values of the LiverRisk score (6, 10, and 15). The model's discriminatory accuracy and calibration were externally validated in two prospective cohorts from the general population. Moreover, we ascertained the prognostic value of the score in the prediction of liver-related outcomes in participants without known liver disease with median follow-up of 12 years (UK Biobank cohort). FINDINGS: We included 14 726 participants: 6357 (43·2%) in the derivation cohort, 4370 (29·7%) in the first external validation cohort, and 3999 (27·2%) in the second external validation cohort. The score accurately predicted liver stiffness in the development and external validation cohorts, and was superior to conventional serum biomarkers of fibrosis, as measured by area under the receiver-operating characteristics curve (AUC; 0·83 [95% CI [0·78–0·89]) versus the fibrosis-4 index (FIB-4; 0·68 [0·61–0·75] at 10 kPa). The score was effective in identifying individuals at risk of liver-related mortality, liver-related hospitalisation, and liver cancer, thereby allowing stratification to different risk groups for liver-related outcomes. The hazard ratio for liver-related mortality in the high-risk group was 471 (95% CI 347–641) compared with the minimal risk group, and the overall AUC of the score in predicting 10-year liver-related mortality was 0·90 (0·88–0·91) versus 0.84 (0·82–0·86) for FIB-4. INTERPRETATION: The LiverRisk score, based on simple parameters, predicted liver fibrosis and future development of liver-related outcomes in the general population. The score might allow for stratification of individuals according to liver risk and thus guide preventive care. FUNDING: European Commission under the H20/20 programme; Fondo de Investigación Sanitaria de Salud; Instituto de Salud Carlos III; Spanish Ministry of Economy, Industry, and Competitiveness; the European Regional Development Fund; and the German Ministry of Education and Research (BMBF)

    Development, validation, and prognostic evaluation of a risk score for long-term liver-related outcomes in the general population: a multicohort study

    No full text
    Liver cirrhosis is a major cause of death worldwide. Cirrhosis develops after a long asymptomatic period of fibrosis progression, with the diagnosis frequently occurring late, when major complications or cancer develop. Few reliable tools exist for timely identification of individuals at risk of cirrhosis to allow for early intervention. We aimed to develop a novel score to identify individuals at risk for future liver-related outcomes. We derived the LiverRisk score from an international prospective cohort of individuals from six countries without known liver disease from the general population, who underwent liver fibrosis assessment by transient elastography. The score included age, sex, and six standard laboratory variables. We created four groups: minimal risk, low risk, medium risk, and high risk according to selected cutoff values of the LiverRisk score (6, 10, and 15). The model's discriminatory accuracy and calibration were externally validated in two prospective cohorts from the general population. Moreover, we ascertained the prognostic value of the score in the prediction of liver-related outcomes in participants without known liver disease with median follow-up of 12 years (UK Biobank cohort). We included 14 726 participants: 6357 (43·2%) in the derivation cohort, 4370 (29·7%) in the first external validation cohort, and 3999 (27·2%) in the second external validation cohort. The score accurately predicted liver stiffness in the development and external validation cohorts, and was superior to conventional serum biomarkers of fibrosis, as measured by area under the receiver-operating characteristics curve (AUC; 0·83 [95% CI [0·78-0·89]) versus the fibrosis-4 index (FIB-4; 0·68 [0·61-0·75] at 10 kPa). The score was effective in identifying individuals at risk of liver-related mortality, liver-related hospitalisation, and liver cancer, thereby allowing stratification to different risk groups for liver-related outcomes. The hazard ratio for liver-related mortality in the high-risk group was 471 (95% CI 347-641) compared with the minimal risk group, and the overall AUC of the score in predicting 10-year liver-related mortality was 0·90 (0·88-0·91) versus 0.84 (0·82-0·86) for FIB-4. The LiverRisk score, based on simple parameters, predicted liver fibrosis and future development of liver-related outcomes in the general population. The score might allow for stratification of individuals according to liver risk and thus guide preventive care. None. [Abstract copyright: Copyright © 2023 Elsevier Ltd. All rights reserved.

    Canada

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    Canada

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