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Changes in pulse pressure variation induced by passive leg raising test to predict preload responsiveness in mechanically ventilated patients with low tidal volume in ICU: a systematic review and meta-analysis.
Crit Care
January 2025
LNC UMR1231, University of Burgundy and Franche-Comté, 21000, Dijon, France.
Background: Pulse pressure variation (PPV) is limited in low tidal volume mechanical ventilation. We conducted this systematic review and meta-analysis to evaluate whether passive leg raising (PLR)-induced changes in PPV can reliably predict preload/fluid responsiveness in mechanically ventilated patients with low tidal volume in the intensive care unit.
Methods: PubMed, Embase, and Cochrane databases were screened for diagnostic research relevant to the predictability of PPV change after PLR in low-tidal volume mechanically ventilated patients.
Detection of sensory deficits in fine nerve fibres in leprosy diagnosis.
Trop Med Int Health
January 2025
Programa de Pós-graduação em Ciências da Saúde: Infectologia e Medicina Tropical, Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil.
Objectives: The purpose of this study was to determine reference points for thermal perception in cutaneous lesions of leprosy, a disease caused by Mycobacterium leprae characterised by hypoesthesia in skin lesions due to nerve and Schwann cell infection. Early diagnosis is essential to control transmission and effectively treat the disease.
Methods: Quantitative thermal testing (QTT) has been proposed as a valuable tool for early detection of the disease, initiation of treatment, and monitoring of nerve damage.
Machine learning-driven risk assessment of coronary heart disease: Analysis of NHANES data from 1999 to 2018.
Zhong Nan Da Xue Xue Bao Yi Xue Ban
August 2024
Department of Cardiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009.
Objectives: The high incidence of coronary artery heart disease (CHD) poses a significant burden and challenge to public health systems globally. Effective prevention and early diagnosis of CHD have become key strategies to alleviate this burden. This study aims to explore the application of advanced machine learning techniques to enhance the accuracy of early screening and risk assessment for CHD.
View Article and Find Full Text PDFValidation of a non-invasive filling pressure (NIFP) device for measuring cardiac pressure and assessing congestion levels in patients with heart failure.
Int J Cardiol
January 2025
State Key Laboratory for Innovation and Transformation of Luobing Theory, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China. Electronic address:
Background: Heart failure (HF) is a high-burden clinical syndrome characterized by intravascular and extravascular congestion, impacting patients' outcomes. Current diagnostic methods for assessing intravascular congestion, including right heart catheterization (RHC), have some limitations. There is a need for accurate, stable, and widely applicable non-invasive measurement methods to improve HF diagnosis and treatment.
View Article and Find Full Text PDFModeling suction of unsaturated granular soil treated with biochar in plant microbial fuel cell bioelectricity system.
Sci Rep
January 2025
Departamento de Ciencias de la Construcción, Facultad de Ciencias de la Construcción Ordenamiento Territorial, Universidad Tecnológica Metropolitana, Santiago, Chile.
There is an initiative driven by the carbon-neutrality nature of biochar in recent times, where various countries across Europe and North America have introduced perks to encourage the production of biochar for construction purposes. This objective aligns with the zero greenhouse emission targets set by COP27 for 2050. This research work seeks to assess the effectiveness of biochar in soils with varying grain size distributions in enhancing the soil-water characteristic curve (SWCC).
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