Cardiac neoplasms are rare and the vast majority are metastatic in origin. Symptoms of cardiac neoplasms (primary or metastatic) usually appear late in the course of the disease and are often ignored because of the more severe effects of the primary malignant disorder or its therapy. Consequently, cardiac neoplasms, especially metastatic ones, are often not discovered until autopsy.
To assess the incidence of cardiac neoplasms at autopsy and to determine the sites of origins of metastatic cardiac neoplasms.
The pathology records from consecutive autopsies performed at the University Health Network, Toronto, Ontario, from January 1973 to May 2004 were reviewed. They showed 266 cases of neoplasms involving the heart among 11,432 consecutive autopsies. These cases were then categorized based on their system of origin and further subclassified into specific primary site categories. As well, the type of cardiac tissue affected was noted in 193 cases (72.6%).
The 266 autopsy cases involving cardiac neoplasms represented 2.33% of the total number of autopsies. Among the 266 cases, two neoplasms were primaries, while 264 were metastatic in origin. Metastatic cardiac neoplasms most frequently metastasized from the respiratory system, followed (in order of decreasing frequency) by the hematopoietic, gastrointestinal, breast and genitourinary systems. A minority of metastatic cardiac neoplasms were found to have spread from other systems. Cardiac neoplasms most frequently involved the pericardium, followed (in order of decreasing frequency) by the myocardium, epicardium and endocardium.
There were 132 times more metastatic cardiac neoplasms than primary cardiac neoplasms found in the present study. The most common sites of metastatic origin were the lungs, bone marrow (leukemia/multiple myeloma), breasts and lymph nodes (lymphoma). Leukemias were more prevalent in the present study than in previous studies. The pericardium was the tissue that was most frequently affected by metastatic cardiac neoplasms.
Comment In: Can J Cardiol. 2006 Jan;22(1):8016511961
This quality assurance project was designed to determine the reliability, completeness and comprehensiveness of the data entered into Niday Perinatal Database.
Quality of the data was measured by comparing data re-abstracted from the patient record to the original data entered into the Niday Perinatal Database. A representative sample of hospitals in Ontario was selected and a random sample of 100 linked mother and newborn charts were audited for each site. A subset of 33 variables (representing 96 data fields) from the Niday dataset was chosen for re-abstraction.
Of the data fields for which Cohen's kappa statistic or intraclass correlation coefficient (ICC) was calculated, 44% showed substantial or almost perfect agreement (beyond chance). However, about 17% showed less than 95% agreement and a kappa or ICC value of less than 60% indicating only slight, fair or moderate agreement (beyond chance).
Recommendations to improve the quality of these data fields are presented.
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.
In Finland, the severity of road traffic injuries is determined using the International Classification of Diseases, 10th Revision, Finnish Modification (ICD-10-FM) injury codes from Finnish Hospital Discharge data and the automatic conversion tool (ICD-AIS map) developed by the Association for the Advancement of Automotive Medicine (AAAM). The aim of this study was to evaluate the ability of the ICD-AIS map to identify seriously injured patients due to traffic accidents in Finnish injury data by comparing the severity rating generated by an expert and by the ICD-AIS map.
Our data came from the North Kymi Hospital (level 2 trauma center at the time of the study). The data included 574 patients who were injured in traffic accidents during 2 years. The severity rating (Maximum Abbreviated Injury Scale [MAIS] 3+) of each patient was recorded retrospectively by an expert based on information from patient records. In addition, the rating was generated from ICD-10 injury codes by the ICD-AIS map conversion tool. These 2 ratings were compared by road user categories and the strength of agreement was described using Cohen's kappa.
The proportion of seriously injured patients was 10.1% as defined by the expert and 6.6% as generated by the ICD-AIS map; exact agreement was 65.5%. The highest concordance was for pedestrians (exact agreement 100%) and the weakest for moped drivers and motorcyclists (46.7%). Furthermore, the overall strength of agreement of the severity ratings (slightly or seriously injured) between the expert and the ICD-AIS map was good (??=?0.70). Most (65%) of the conversion problems were misclassifications caused by the simplicity of the Finnish ICD-10 injury codes compared to the injury codes used in the ICD-AIS map. In Finland, the injuries are recorded mainly with 4-digit codes and, infrequently, with 5-digit codes, whereas the ICD-AIS map defines up to 6-digit codes.
For this sample of simplified ICD-10-FM codes, the ICD-AIS map underestimated the number of seriously injured patients. The mapping result could be improved if at least open and closed fractures of extremities and visceral contusions and ruptures had separate codes. In addition, there were a few injury codes that should be considered for inclusion in the map.
It has been suggested that abortions leave the breast epithelium in a proliferative state with an increased susceptibility to carcinogenesis. Results from previous studies of induced or spontaneous abortions and risk of subsequent breast cancer are contradictory, probably due to methodological considerations. We investigated the relationship between abortions and subsequent breast cancer risk in a case-control study using prospectively recorded exposure information. The study population comprised women recorded in the population-based Swedish Medical Birth Register between 1973-91. Cases were defined by linkage of the birth register to the Swedish Cancer Register and controls were randomly selected from the birth register. From the subjects' antenatal care records we abstracted prospectively collected information on induced and spontaneous abortions, as well as a number of potential confounding factors. Relative risk of breast cancer was estimated by odds ratios (OR) with 95% confidence intervals (95% CI). A reduced risk of breast cancer was observed for women with a history of at least 1 compared to no abortions (adjusted OR = 0.84, 95% CI = 0.72-0.99). The adjusted OR decreases step-wise with number of abortions to 0.59 (95% CI = 0.34-1.03) for 3 or more compared to no abortions. The patterns are similar for induced and spontaneous abortions. In conclusion, neither a history of induced nor spontaneous abortions is associated with an increased risk of breast cancer. Our data suggest a protective effect of pregnancies regardless of outcome.
Comment In: Int J Cancer. 2004 May 10;109(6):945-6; author reply 947-815027130