The effects of pharmaceutical interventions on potentially inappropriate medications in older patients: a systematic review and meta-analysis.

Introduction: Potentially inappropriate medications (PIMs) is a particular concern in older patients and is associated with negative health outcomes. As various interventions have been developed to manage it, we performed a systematic review and meta-analysis to evaluate the effect of pharmaceutical interventions on outcomes of PIMs in older patients. Methods: Meta-analysis of eligible randomized controlled trials (RCTs) was conducted to report the outcomes of pharmaceutical interventions in older patients searching from the databases of Cochrane Library, PubMed, Embase, Web of Science, Clinicaltrials.gov, SinoMed and Chinese Clinical Trial Registry (ChiCTR). The PRISMA guidelines were followed and the protocol was registered in PROSPERO (CRD42019134754). Cochrane bias risk assessment tool and the modified Jadad scale were used to assess the risk bias. RevMan software was used for data processing, analysis and graphical plotting. Results: Sixty-five thousand, nine hundred seventy-one patients in 14 RCTs were included. Of the primary outcomes, pharmaceutical interventions could significantly reduce the incidence of PIMs in older patients (OR = 0.51, 95% CI: 0.42, 0.62; p < 0.001), and the number of PIMs per person (MD = -0.41, 95%CI: -0.51, -0.31; p < 0.001), accompanying by a low heterogeneity. Subgroup analysis showed that the application of computer-based clinical decision support for pharmacological interventions could remarkably decrease the incidence of PIMs and two assessment tools were more effective. Of the secondary outcomes, the meta-analysis showed that pharmacological interventions could reduce the number of drugs used per person (MD = -0.94, 95%CI: -1.51, -0.36; p = 0.001) and 30-day readmission rate (OR = 0.58, 95%CI: 0.36, 0.92; p = 0.02), accompanying by a low heterogeneity. However, the pharmaceutical interventions demonstrated no significant improvement on all-cause mortality and the number of falls. Conclusion: Our findings supported the efficacy of pharmaceutical interventions to optimize the use and management of drugs in older patients. Systematic review registration: https://clinicaltrials.gov/, CRD42019134754.

Drug-induced fall risk in older patients: A pharmacovigilance study of FDA adverse event reporting system database.

Objectives: As fall events and injuries have become a growing public health problem in older patients and the causes of falls are complex, there is an emerging need to identify the risk of drug-induced falls. Methods: To mine and analyze the risk signals of drug-induced falls in older patients to provide evidence for drug safety. The FDA Adverse Event Reporting System was used to collect drug-induced fall events among older patients. Disproportionality analyses of odds ratio (ROR) and proportional reported ratio were performed to detect the adverse effects signal. Results: A total of 208,849 reports (34,840 fall events and 1,898 drugs) were considered. The average age of the included patients was 76.95 ± 7.60 years, and there were more females (64.47%) than males. A total of 258 drugs with positive signals were detected to be associated with drug-induced fall incidence in older patients. The neurological drugs (104, 44.1%) with the largest number of positive detected signals mainly included antipsychotics, antidepressants, antiparkinsonian drugs, central nervous system drugs, anticonvulsants and hypnotic sedatives. Other systems mainly included the circulatory system (25, 10.6%), digestive system (15, 6.4%), and motor system (12, 5.1%). Conclusion: Many drugs were associated with a high risk of falls in older patients. The drug is one of the critical and preventable factors for fall control, and the risk level of drug-induced falls should be considered to optimize drug therapy in clinical practice.

Comparison of bioimpedance and clinical methods for dry weight prediction in maintenance hemodialysis patients.

BACKGROUND: Bioelectrical impedance analysis (BIA) is a promising technique to evaluate dry weight. We compared the dry weight calculated by the three BIA equations Carlo Basile (CB) , Yanna Dou (YD) and the body composition spectroscopy (BCS) with clinical evaluation in maintenance hemodialysis (MHD) patients. METHODS: The dry weight of enrolled MHD patients (DWClin) was evaluated under strict clinical surveillance. The whole-body resistances at 50 kHz, intra- and extracellular resistances were measured to calculate the dry weight (DWCB, DWYD and DWBCS) using each of the three equations. RESULTS: Neither DWCB nor DWBCS were statistically different compared to DWClin (DWCB 63.2 ± 17.2 vs. 63.1 ± 16.1 kg; DWBCS 62.8 ± 16.8 vs. 63.1 ± 16.1 kg, p > 0.05). DWYD was significantly lower than DWClin (DWYD 62.0 ± 16.1 vs. 63.1 ± 16.1 kg, p < 0.05). The bias between DWCB and DWClin was the smallest among these three methods (ΔDWCB -0.1 ± 1.4 kg; ΔDWYD 1.1 ± 2.9 kg; ΔDWBCS 0.3 ± 1.8 kg). CONCLUSION: The CB equations have better consistency with clinical dry weight in MHD patients.

Individual and institutional factors affecting cardiac monitoring in coronary care units: a national survey of Chinese nurses.

BACKGROUND: As cardiovascular diseases have become the leading cause of death in many countries including China, nurses are increasingly required to be abreast of technological advances and the skills necessary to manage this increasing health care problem. Chinese nurses are under pressure to provide skilled electrocardiography monitoring, and be sufficiently skilled to detect myocardial ischemia and infarction, in this large patient population. This presents a challenge for the nursing profession in China, particularly for nurses working in coronary care in a country where advancement has been so rapid, yet little research has been conducted or reported in the literature. OBJECTIVES: The two main objectives were: to explore the demographic and educational factors that affect the use of ST-segment monitoring and correct electrode placement by CCU/ICU nurses in China; and to explore the factors both individual and institutional that affect monitoring and lead placement. METHODS: A self-administered questionnaire was distributed to nurses in 126 randomly selected tertiary hospitals, which were stratified into three homogeneous regions across China. The instrument examined demographics, information about hospitals, electrocardiogram devices, current practice patterns and perceptions toward monitoring and lead placement. Data from 734 nurses and 59 nurse managers from 59 hospitals were analyzed using t-tests, ANOVA, Chi-square test and logistic regression. RESULTS: Electrocardiogram monitoring was used to detect myocardial ischemia by 43.7% of respondents, and 35.1% selected leads according to electrocardiogram or angiography findings. Most (70%) agreed that monitoring for acute coronary syndrome was important, while 39.2% did so, and 15.7% were able to identify correct placement. Logistic regression revealed a significant relationship between the uses of ST-segment monitoring and number of hospital beds, continuing education and a belief in its use and ease of use. Correct electrode placement was significantly correlated with respondents from university hospitals, hospitals with more acute coronary syndrome admissions and more independent thinking nurses. CONCLUSIONS: Despite best practice evidence, less than half of the sample used electrocardiogram monitoring to detect myocardial ischemia and the majority could not identify correct electrode placement, while ST-segment monitoring was not used routinely. This paper highlights the need for improvements in education both in universities and hospitals and discussion addresses conventions in units, which inhibit development of nurses' skills.