Using electronic medical record data to assess chronic kidney disease, type 2 diabetes and cardiovascular disease testing, recognition and management as documented in Australian general practice: a cross-sectional analysis.

OBJECTIVES: To evaluate the capacity of general practice (GP) electronic medical record (EMR) data to assess risk factor detection, disease diagnostic testing, diagnosis, monitoring and pharmacotherapy for the interrelated chronic vascular diseases-chronic kidney disease (CKD), type 2 diabetes (T2D) and cardiovascular disease. DESIGN: Cross-sectional analysis of data extracted on a single date for each practice between 12 April 2017 and 18 April 2017 incorporating data from any time on or before data extraction, using baseline data from the Chronic Disease early detection and Improved Management in PrimAry Care ProjecT. Deidentified data were extracted from GP EMRs using the Pen Computer Systems Clinical Audit Tool and descriptive statistics used to describe the study population. SETTING: Eight GPs in Victoria, Australia. PARTICIPANTS: Patients were ≥18 years and attended GP ≥3 times within 24 months. 37 946 patients were included. RESULTS: Risk factor and disease testing/monitoring/treatment were assessed as per Australian guidelines (or US guidelines if none available), with guidelines simplified due to limitations in data availability where required. Risk factor assessment in those requiring it: 30% of patients had body mass index and 46% blood pressure within guideline recommended timeframes. Diagnostic testing in at-risk population: 17% had diagnostic testing as per recommendations for CKD and 37% for T2D. Possible undiagnosed disease: Pathology tests indicating possible disease with no diagnosis already coded were present in 6.7% for CKD, 1.6% for T2D and 0.33% familial hypercholesterolaemia. Overall prevalence: Coded diagnoses were recorded in 3.8% for CKD, 6.6% for T2D, 4.2% for ischaemic heart disease, 1% for heart failure, 1.7% for ischaemic stroke, 0.46% for peripheral vascular disease, 0.06% for familial hypercholesterolaemia and 2% for atrial fibrillation. Pharmaceutical prescriptions: the proportion of patients prescribed guideline-recommended medications ranged from 44% (beta blockers for patients with ischaemic heart disease) to 78% (antiplatelets or anticoagulants for patients with ischaemic stroke). CONCLUSIONS: Using GP EMR data, this study identified recorded diagnoses of chronic vascular diseases generally similar to, or higher than, reported national prevalence. It suggested low levels of extractable documented risk factor assessments, diagnostic testing in those at risk and prescription of guideline-recommended pharmacotherapy for some conditions. These baseline data highlight the utility of GP EMR data for potential use in epidemiological studies and by individual practices to guide targeted quality improvement. It also highlighted some of the challenges of using GP EMR data.

Disparities in Care and Outcome of Stroke Patients from Culturally and Linguistically Diverse Communities in Metropolitan Australia.

BACKGROUND: Acute stroke is a time-critical emergency where diagnosis and acute management are highly dependent upon the accuracy of the patient's history. We hypothesised that the language barrier is associated with delayed onset time to thrombolysis and poor clinical outcomes. This study aims to evaluate the effect of language barriers on time to thrombolysis and clinical outcomes in acute ischemic stroke. Concerning the method, this is a retrospective study of all patients admitted to a metropolitan stroke unit (Melbourne, Victoria, Australia) with an acute ischemic stroke treated with tissue plasminogen activator between 1/2013 and 9/2017. Baseline characteristics, thrombolysis time intervals, length of stay, discharge destination, and in-hospital mortality were compared among patients with and without a language barrier using multivariate analysis after adjustment for age, sex, stroke severity, premorbid modified Rankin Scale (mRS), and Charlson Comorbidity Index (CCI). Language barriers were defined as a primary language other than English. A total of 374 patients were included. Our findings show that 76 patients (20.3%) had a language barrier. Mean age was five years older for patients with language barriers (76.7 vs. 71.8 years, p = 0.004). Less non-English speaking patients had premorbid mRS score of zero (p = 0.002), and more had premorbid mRS score of one or two (p = 0.04). There was no statistically significant difference between the two groups in terms of stroke severity on presentation (p = 0.06). The onset to needle time was significantly longer in patients with a language barrier (188 min vs. 173 min, p = 0.04). Onset to arrival and door to imaging times were reassuringly similar between the two groups. However, imaging to needle time was 9 min delayed in non-English speaking patients with a marginal p value (65 vs. 56 min, p = 0.06). Patients with language barriers stayed longer in the stroke unit (six vs. four days, p = 0.02) and had higher discharge rates than residential aged care facilities in those admitted from home (9.2% vs. 2.3%, p = 0.02). In-hospital mortality was not different between the two groups (p = 0.8). In conclusion, language barriers were associated with almost 14 min delay in thrombolysis. The delay was primarily attributable to imaging to needle time. Language barriers were also associated with poorer clinical outcomes.

Occurrence of Tako-Tsubo cardiomyopathy in association with ingestion of serotonin/noradrenaline reuptake inhibitors.

Tako-Tsubo cardiomyopathy (TTC) occurs particularly in post-menopausal women, being precipitated in many cases by severe emotional stress. We describe six patients in whom TTC occurred in association with therapeutic ingestion or overdose of the serotonin/noradrenaline reuptake inhibitor venlafaxine, or its metabolite desvenlafaxine. Importantly, two of the six cases were not post-menopausal women. An increased risk of TTC may account for some of the reported cardiovascular adverse effects of venlafaxine and similar agents.