Prevalence and Hypertension Treatment Schedule in Hemodialysis Patients and Renal Transplant Recipients in 2006 and 2014/2016.

BACKGROUND: Hypertension is often recognized in both hemodialysis patients (HDp) and renal transplant recipients (RTRs). The aim of the study was the evaluation of hypertension prevalence and treatment schedule and the achievement of the control of blood pressure according to the Polish Society of Hypertension, European Society of Hypertension, Joint National Committee, and American College of Cardiology/American Heart Association 2017 recommendations. MATERIALS AND METHODS: Observations were done in 2 distinct periods of time: the year 2006 and the years 2014/2016. In 2006, 56 HDp and 316 RTRs were studied. In 2014/2016, 85 HDp and 818 RTRs were studied. The antihypertensive treatment analysis was based on medical records from visits in RTRs and dialyses in HDp. RESULTS: Cardiovascular diseases were diagnosed in 71.4% (2006) and 65.9% (2016) in HDp; 17.7% (2006) and 21.5% (2014) in RTRs. Diabetes was observed in 39.3% (2006) and 34.1% (2016) in HDp; 16.5% (2006) and 23.2% (2014) in RTRs. The target blood pressure control was achieved in 64.3% (2006) and 49.4% (2016) of HDp and in 61.4% (2006) and 45.7% (2014) of RTRs. Three drugs (28.6% and 33.5% in 2006; 30.6% and 29.1% in 2016/2014) or 2 antihypertensive drugs (19.6% and 26.9% in 2006; 22.4% and 27.1% in 2016/2014) were used in HDp and RTRs, respectively. The majority of HDp and RTRs were treated with ß-blockers followed by calcium channel blockers. CONCLUSIONS: The target blood pressure control was achieved in a low percentage of HDp and RTRs. RTRs required multidrug antihypertensive therapy to control blood pressure more often than HDp.

Driving behavior under the influence of cannabis or cocaine.

OBJECTIVE: The purpose of this study is first to describe perceptions of driving under the influence of cannabis or cocaine among clients in treatment and, second, to assess whether these perceptions are related to the frequency of driving under the influence of cannabis or cocaine. METHODS: A questionnaire was administered to clients in treatment for abuse of either cocaine or cannabis, many of whom also had a problem with alcohol; additional groups of clients consisted of those in smoking cessation and gambling programs (N = 1021). Open-ended and close-ended questions were used to assess self-reported effects of cannabis or cocaine on driving and frequency of driving under the influence of cannabis, cocaine, or alcohol. RESULTS: Two dimensions of driving behavior under the influence of cocaine or cannabis were found in both qualitative and quantitative analyses: 1) physical effects and 2) reckless styles of driving. Common physical effects for both drugs were heightened nervousness, greater alertness, and poorer concentration. In terms of driving behavior, cautious or normal driving was commonly reported for cannabis, whereas reckless or reduced driving ability was frequently reported for cocaine. When comparing negative physical effects and reckless style of driving with frequency of driving under the influence of cannabis or cocaine, increased negative physical effects from cannabis were inversely related to frequency of driving under the influence of cannabis (p = .001), but other relationships were not significant. CONCLUSIONS: The findings indicate that both cannabis and cocaine have detrimental but different effects on driving. The negative physical effects of cannabis may reduce the likelihood of driving under the influence of cannabis.

Predicting violence among cocaine, cannabis, and alcohol treatment clients.

In this study, the relationship between the use of various substances, selected psychosocial characteristics, and violence was examined. Groups of subjects in treatment for a primary problem with cocaine (n=300), cannabis (n=128), alcohol (n=110), other drugs (33), tobacco (n=249) or gambling (n=199) completed a self-administered questionnaire. The questionnaire included questions on various psychosocial scales (i.e., aggressive personality, chronic stress, sleep problems, impulsivity, disrespect for the law and social supports), frequency of drug and alcohol use, and violence in the past year. For the univariate analyses, all of the drug and psychosocial variables were significantly related to violence. In the multivariate analyses, frequency of cocaine and alcohol use, disrespect for the law, aggressive personality, age and sex were significantly related to violence. The findings point to multi-causal explanations; however, both alcohol and cocaine use appear to play a significant role in explaining violence.