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Background: Drug use trends change rapidly among youth, leaving intervention experts struggling to respond promptly. Delays in responses can lead to preventable morbidity and mortality. The COVID-19 pandemic underscored the need for implementation science to facilitate rapid, equitable responses using existing treatment and prevention efforts.

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Objectives: To develop a machine learning-based prediction model using clinical data from the first 24 h of ICU admission to enable rapid screening and early intervention for sepsis patients.

Methods: This multicenter retrospective cohort study analyzed electronic medical records of sepsis patients using machine learning methods. We evaluated model performance in predicting sepsis outcomes within the first 24 h of ICU admission across US and Chinese healthcare settings.

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Background: Rapid, adequate treatment is crucial to reduce mortality in sepsis. Risk stratification scores used at emergency departments (ED) are limited in detecting all septic patients with increased mortality risk. We assessed whether the addition of prehospital lactate analysis to clinical risk stratification tools improves detection of patients with increased risk for rapid deterioration and death in sepsis.

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Functioning performance trajectory and its associated factors for people with disability-A 4-year national study.

BMC Public Health

January 2025

Department of Public Health, Tzu Chi University, No.701, Sec. 3, Zhongyang Rd., Hualien County, Hualien City, 970, Taiwan.

Background: Humans experience functioning difficulties in daily life, which are dependent on the interaction between health conditions and barriers in life. In general, functioning is an umbrella term and a dynamic concept. Thus, identifying the factors associated with long-term functioning would be beneficial to the development of specific health policies and quality of life for people with disabilities.

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Background: Imported malaria from southern Mozambique drives low levels of disease transmission in KwaZulu-Natal, South Africa. Therefore, the South African Department of Health funded implementation of indoor residual spraying (IRS) in Mozambiquan districts identified as sources of malaria infection for border communities in KwaZulu-Natal. IRS was initiated in districts of Guija, Inharrime, Panda and Zavala.

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