RESUMO
Biapenem is a carbapenem antibiotic， and can be used for the treatment of sepsis， pneumonia， lung abscess， chronic respiratory lesions secondary infection， complex urinary tract infection and pyelonephritis， etc. This article reviewed the studies on the pharmacokinetics， pharmacodynamics and therapeutic drug monitoring （TDM） of biapenem. The pharmacokinetic parameters of biapenem are not significantly different in healthy subjects， and there is no accumulation after multiple doses of biapenem. However， there are large differences in pharmacokinetic parameters in patients with severe disease and patients with abnormal renal function compared with healthy subjects， which leads to conventional treatment regimens not achieving the desired outcome. In terms of pharmacodynamics， biapenem can improve the rate of reaching the target value by increasing the frequency of administration and prolonging the infusion time. For patients with anuria in end-stage renal disease， dosing intervals can be extended to avoid drug accumulation. However, for patients with severe infection, a daily dose of 1.2 g still can not control infections caused by Acinetobacter baumannii or Pseudomonas aeruginosa, which limits its use in patients with severe disease. It is recommended to implement TDM in severe patients and patients with abnormal renal function， and explore the best dosing regimen for biapenem in combination with pharmacokinetic models to ensure that the time that the free blood concentration of biapenem remains above minimum inhibitory concentration as a percentage of the time between doses （%fT＞MIC） is within the effective range，so that biapenem can exert a greater efficacy in severe patients and patients with abnormal renal function. For medical institutions that cannot carry out TDM， the efficacy of biapenem can be maximized by increasing the frequency of administration and prolonging the infusion time. For infections caused by P. aeruginosa， A. baumannii and Serratia marcescens with high drug resistance rates， it is recommended to combine or replace other antibiotics.
RESUMO
BACKGROUND@#China has the largest elderly population in the world; little attention has been paid to the mental health of elderly in areas of extreme poverty. This is the first study to investigate the mental health of the rural elderly in poverty state counties in Chongqing and was part of the Chongqing 2018 health literacy promotion project.@*METHODS@#In 2019, a cross-sectional study was conducted to investigate the mental health status of the rural elderly in fourteen poverty state counties of Chongqing, in which a total of 1400 elderly aged ≥ 65 years were interviewed, where mental health status was measured by the ten-item Kessler10 (K10) scale. Ordered multivariate logistic regression was performed to evaluate the influencing factors related to mental health of the elderly in these areas.@*RESULTS@#The average score of K10 in 14 poverty state counties was 17.40 ± 6.31, 47.6% was labeled as good, 30.2% was moderate, 17.0% was poor, and lastly 5.1% was bad, and the mental health status of the elderly in the northeastern wing of Chongqing was better than the one in the southeastern wing of Chongqing. A worse self-rated health was the risk factor for mental health both in the northeastern and southeastern wings of Chongqing (all P < 0.001). Lower education level (OR (95% CI) = 1.45 (1.12-1.87), P = 0.004) was a risk factor in the northeastern wing, whereas older age (OR (95% CI) = 1.33 (1.13-1.56), P = 0.001) was a risk factors in the southeastern wing.@*CONCLUSIONS@#The results showed that mental health of the elderly in poverty state counties was poor, especially in the southeastern wing of Chongqing. Particular attention needs to be paid to the males who were less educated, older, and single; female with lower annual per capital income; and especially the elderly with poor self-rated health.