The Swedish Web-system for Enhancement and Development of Evidence-based care in Heart disease Evaluated According to Recommended Therapies (SWEDEHEART) collects data to support the improvement of care for heart disease.
SWEDEHEART collects on-line data from consecutive patients treated at any coronary care unit n = (74), followed for secondary prevention, undergoing any coronary angiography, percutaneous coronary intervention, percutaneous valve or cardiac surgery. The registry is governed by an independent steering committee, the software is developed by Uppsala Clinical Research Center and it is funded by The Swedish national health care provider independent of industry support. Approximately 80,000 patients per year enter the database which consists of more than 3 million patients.
Base-line, procedural, complications and discharge data consists of several hundred variables. The data quality is secured by monitoring. Outcomes are validated by linkage to other registries such as the National Cause of Death Register, the National Patient Registry, and the National Registry of Drug prescriptions. Thanks to the unique social security number provided to all citizens follow-up is complete. The 2011 outcomes with special emphasis on patients more than 80 years of age are presented.
SWEDEHEART is a unique complete national registry for heart disease.
Medical history, physical examination and laboratory testing are not optimal for the assessment of volume status in heart failure (HF) patients. We aimed to study the clinical influence of focused ultrasound of the pleural cavities and inferior vena cava (IVC) performed by specialised nurses to assess volume status in HF patients at an outpatient clinic.
HF outpatients were prospectively included and underwent laboratory testing, history recording and clinical examination by two nurses with and without an ultrasound examination of the pleural cavities and IVC using a pocket-size imaging device, in random order. Each nurse worked in a team with a cardiologist. The influence of the different diagnostic tests on diuretic dosing was assessed descriptively and in linear regression analyses.
Sixty-two patients were included and 119 examinations were performed. Mean±SD age was 74±12 years, EF was 34±14%, and N-terminal pro-brain natriuretic peptide (NT-proBNP) value was 3761±3072 ng/L. Dosing of diuretics differed between the teams in 31 out of 119 consultations. Weight change and volume status assessed clinically with and without ultrasound predicted dose adjustment of diuretics at follow-up (p
OBJECTIVE: To investigate the importance of transthyretin (TTR) gene mutations in explaining the phenotypic expression in patients diagnosed with hypertrophic cardiomyopathy (HCM) in northern Sweden. BACKGROUND: Hypertrophic cardiomyopathy is relatively common and often caused by mutations in sarcomeric protein genes. Mutations in the TTR gene are also common, one of which causes familial amyloid polyneuropathy (FAP), with peripheral polyneuropathy and frequently, cardiac hypertrophy. These circumstances were highlighted by the finding of an index case with amyloidosis, presenting itself as HCM. Initial rectal and fat biopsies did not show amyloid deposits. Later on, the patient was shown to carry a TTR gene mutation, and cardiac amyloidosis was confirmed by myocardial biopsy. Only then was a repeated fat biopsy positive for amyloid deposits. DESIGN: Cross-sectional study. SETTING: Cardiology tertiary referral centre. SUBJECTS: Forty-six unrelated individuals with HCM and the index case were included. Common diagnostic criteria for HCM were used. The 46 patients with HCM were previously analysed for mutations in eight sarcomeric protein genes and the TTR gene was now analysed by denaturing high-performance liquid chromatography and direct sequencing. RESULTS: One mutation in the TTR gene (Val30Met) was found in three individuals and the index case. CONCLUSIONS: Three of the 46 cases with HCM carried the Val30Met mutation, and were considered likely to have cardiac amyloidosis, like the index case. As a correct diagnosis of cardiac amyloidosis is mandatory for a potentially life-saving treatment, TTR mutation analysis should be considered in cases of HCM not explained by mutations in sarcomeric protein genes.
A doctor's tool for extracting clinical data from various sources on groups of hospital patients into one file has been in demand. For this purpose we evaluated Qlikview.
Based on clinical information required by two cardiologists, an IT specialist with thorough knowledge of the hospital's data system (www.dips.no) used 30 days to assemble one Qlikview file. Data was also assembled from a pre-hospital ambulance system.
The 13 Mb Qlikview file held various information on 12430 patients admitted to the cardiac unit 26,287 times over the last 21 years. Included were also 530,912 clinical laboratory analyses from these patients during the past five years. Some information required by the cardiologists was inaccessible due to lack of coding or data storage. Some databases could not export their data. Others were encrypted by the software company. A major part of the required data could be extracted to Qlikview. Searches went fast in spite of the huge amount of data. Qlikview could assemble clinical information to doctors from different data systems. Doctors from different hospitals could share and further refine empty Qlikview files for their own use. When the file is assembled, doctors can, on their own, search for answers to constantly changing clinical questions, also at odd hours.