Nonlinear relationship between triglyceride-glucose index and cardiovascular mortality with competing risk analysis on populations aged 18-80 years.

Background: The existing evidence regarding the relationship between the triglyceride-glucose index (TyG index) and cardiovascular mortality risk remains relatively limited and controversial, particularly within the context of competing risk scenarios. This study seeks to investigate this relationship, while further incorporating the impact of non-cardiovascular mortality as a competing risk event to this association.

Methods: Data of eligible participants were extracted from National Health and Nutrition Examination Surveys (NHANES) 1999-2018.

Association between radical versus conservative surgery and short-term outcomes of hepatic cystic echinococcosis in Nyingchi, China: a retrospective cohort study.

Background: Radical or conservative surgical treatment for hepatic Cystic Echinococcosis (hepatic CE) is controversial. We aimed to measure the association between radical surgery (RS) versus conservative surgery (CS) and short-term outcomes in our cohort.

Methods: Medical records of hepatic CE patients' demographic, clinical, radiological, operative and postoperative details who underwent surgical treatment between January 3, 2017 and January 3, 2018 at the Department of General Surgery, Nyingchi People's Hospital, Nyingchi, China, were retrieved and analyzed.

The geometric mean is a superior frequency response averaging method for human body vibration.

The frequency response data of human body vibration are often used for standardisation, design of transport vehicles and occupational health and safety measures. This article shows that the commonly used methods of averaging frequency response spectra, such as arithmetic averaging in the complex or magnitude domain and median averaging, are not as suitable as the less commonly used geometric averaging in the complex domain. This is because it is necessary to minimise the deviation of the measured values about the mean value and to minimise the bias from the true mean value due to noise, distortion and nonlinearity.