The importance of medical terminology and icd 9 cm coding on addressing marfans syndrome

Introduction Marfan syndrome MFS is a pleiotropic connective tissue disease caused by a deficiency of the structural extracellular matrix component fibrillin-1 FBN Associations between those outcomes prognoses and clinical characteristics were investigated using conditional logistic regression in a generalised estimating equation GEE model.

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In studies where no statistical analyses were performed, we report the results of relevant outcome measures. We also calculated the publication lag year of publication — final year of observation. Any other relevant findings or conclusions. A sample of control candidates was selected for comparison from individuals in the NHIRD who were without malignancies. Methods Eligible studies The review included English-language, peer-reviewed articles, published between 1 January and 31 October , which identified patients with an inherited heart disease using routinely collected health data exclusively. Healthcare professionals should be aware of this risk when treating such patients, and increased cancer surveillance may be necessary for these patients. This investigation was conducted in accordance with the Declaration of Helsinki and other relevant guidelines. Therefore, the diagnoses of COPD in this study should be highly reliable. Data on the use of angiotensin-converting enzyme inhibitors and angiotensin receptor blockers were acquired from the Longitudinal Health Insurance Database , a subdatabase of the NHIRD.

Therefore, the diagnoses of COPD in this study should be highly reliable. Abstract Objective Our understanding of inherited heart disease is predominantly based on retrospective specialised clinic cohorts, which have inherent selection bias.

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Routinely collected health data are also population-based, meaning they capture information for all persons receiving treatment. We sought to use a nationwide healthcare insurance claim database to evaluate whether patients with MFS are at increased risk of malignancy.

The importance of medical terminology and icd 9 cm coding on addressing marfans syndrome

Data on the use of angiotensin-converting enzyme inhibitors and angiotensin receptor blockers were acquired from the Longitudinal Health Insurance Database , a subdatabase of the NHIRD. Analysis The study objectives and outcome measures varied across reviewed manuscripts. Summary statistics are shown for statistically significant results, and summaries of non-statistically significant results are provided. However, routinely collected health data typically include only a limited amount of clinical information so it is unclear whether these data alone can be used to accurately identify an inherited heart disease population. Both the NHIRD and catastrophic illness certificate have been well-validated internally and externally in several studies. The date of the first malignancy diagnosis was defined as the index date. Other patients from the same database who did not have malignancies and were matched by age, gender, number of medical follow-ups and comorbidities were designated controls. Healthcare professionals should be aware of this risk when treating such patients, and increased cancer surveillance may be necessary for these patients.

We sought to conduct a global systematic review to examine current methods of identifying patients with inherited heart diseases using routinely collected health data exclusively.

The prevalence of inherited heart diseases ranges from 1 in to 10 in the general population 1 2 and most are characterised by marked clinical and genetic heterogeneity.

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This is an underutilised resource with the potential to inform patterns of care, patient outcomes and overall disease burden. Back references and citing articles via Google Scholar of all manuscripts included in this review were searched to identify additional relevant articles.

Methods Eligible studies The review included English-language, peer-reviewed articles, published between 1 January and 31 Octoberwhich identified patients with an inherited heart disease using routinely collected health data exclusively.

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In studies where no statistical analyses were performed, we report the results of relevant outcome measures. Therefore, it was not appropriate to use traditional meta-analysis approaches to pool individual study results.

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We also calculated the publication lag year of publication — final year of observation. We sought to conduct a global systematic review to examine current methods of identifying patients with inherited heart diseases using routinely collected health data exclusively. The prevalence of inherited heart diseases ranges from 1 in to 10 in the general population 1 2 and most are characterised by marked clinical and genetic heterogeneity. Summaries of study features are shown in the tables and figures. Search terms included those related to data type eg, hospitalisation, medical records ; methodological design eg, cohort studies, epidemiological methods and heart disease eg, hypertrophic cardiomyopathy, Marfan syndrome. Medical condition of interest: inherited heart disease s studies and definition using routinely collected health data, such as International Classification of Diseases ICD code 9 and whether any family members of affected individuals were identified. Data on the use of angiotensin-converting enzyme inhibitors and angiotensin receptor blockers were acquired from the Longitudinal Health Insurance Database , a subdatabase of the NHIRD. Twelve peer-reviewed, English-language manuscripts met our inclusion criteria. Abstract Objective Our understanding of inherited heart disease is predominantly based on retrospective specialised clinic cohorts, which have inherent selection bias. Results Our analyses included 1 cancer cases and 1 propensity score-matched controls. Methods Eligible studies The review included English-language, peer-reviewed articles, published between 1 January and 31 October , which identified patients with an inherited heart disease using routinely collected health data exclusively. We sought to use a nationwide healthcare insurance claim database to evaluate whether patients with MFS are at increased risk of malignancy. Malignancies originating from the head and neck and the urinary tract were significantly more frequent among patients with MFS than among subjects without MFS. Results A flow diagram of the patient enrolment scheme is presented in figure 1. Thus, we used a nationwide healthcare insurance claim database to evaluate whether patients with MFS are at increased risk of malignancy.

Nine of the 17 definitions for inherited heart disease were repeated across studies. We included the following inherited heart diseases: arrhythmogenic right ventricular cardiomyopathy; bicuspid aortic valve disease; Brugada syndrome; catecholaminergic polymorphic ventricular tachycardia; familial dilated cardiomyopathy; familial hypercholesterolaemia; familial restrictive cardiomyopathy; hypertrophic cardiomyopathy; long QT syndrome; left ventricular non-compaction and Marfan syndrome.

Thus, we used a nationwide healthcare insurance claim database to evaluate whether patients with MFS are at increased risk of malignancy. Data extraction The following is reported for each article: Study details: first author surname; year of publication; publishing journal; funding source; setting; data source s ; data coverage; observation period and study objectives relating to inherited heart disease s. We also calculated the publication lag year of publication — final year of observation. Malignancies originating from the head and neck and the urinary tract were significantly more frequent among patients with MFS than among subjects without MFS. A sample of control candidates was selected for comparison from individuals in the NHIRD who were without malignancies. In this respect, we sought to use a nationwide healthcare insurance claim database to evaluate whether patients with MFS are at increased risk of malignancy. These conditions are also clearly associated with degenerative non-inflammatory structural cardiovascular diseases, including aortic root dilatation, thoracic aneurysm and aortic dissection. Search terms included those related to data type eg, hospitalisation, medical records ; methodological design eg, cohort studies, epidemiological methods and heart disease eg, hypertrophic cardiomyopathy, Marfan syndrome. This is an underutilised resource with the potential to inform patterns of care, patient outcomes and overall disease burden. Any other relevant findings or conclusions. We sought to synthesise the global literature to determine whether we can identify patients with inherited heart diseases using routinely collected health data.
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