The Medical History of Christopher Columbus

The recall rate of patients’ family medical histories was studied in 200 cancer and non-cancer patients. Data on age and cause of death for parents and grandparents were collected. Although most patients knew the age and cause of death of parents, less than half knew for grandparents. Cancer patients had significantly greater recall for maternally related relatives. A subsample of patients’ family medical histories was compared to death certificate data. Patients’ reports were found to be highly inaccurate. Since only a small subgroup could provide medical history data for grandparents, the generaliz-ability for history of family illness is questioned.

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The Role of HbA1c on Mortality in Patients with Medical History of Ischemic Stroke and Paroxysmal Atrial Fibrillation

Diabetes ◽

10.2337/db18-2406-pub ◽

2018 ◽

Vol 67 (Supplement 1) ◽

pp. 2406-PUB

Author(s):

KONSTANTINA KANELLOPOULOU ◽

IOANNIS L. MATSOUKIS ◽

ASIMINA GANOTOPOULOU ◽

THEODORA ATHANASOPOULOU ◽

CHRYSOULA TRIANTAFILLOPOULOU ◽

...

Keyword(s):

Atrial Fibrillation ◽

Ischemic Stroke ◽

Medical History ◽

Paroxysmal Atrial Fibrillation ◽

History Of

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Reenacting Migration, Past and Present

Transfers ◽

10.3167/trans.2017.070311 ◽

2017 ◽

Vol 7 (3) ◽

pp. 127-130

Author(s):

Mariana C. Françozo

Keyword(s):

Maritime History ◽

Christopher Columbus ◽

Exhibition Space ◽

European Capital Of Culture ◽

Air Space ◽

History Of ◽

The City

Located at the old harbor of the city of Genoa, the modern Galata Museo del Mare was inaugurated as part of the commemoration of Genoa as the 2004 European Capital of Culture. Only twelve years later, the museum proudly welcomes 200,000 visitors annually into its twenty-eight galleries, organized in an impressive exhibition space of 10,000 square meters, showcasing 4,300 objects. While the aim of the museum is to tell the maritime history of Genoa—ranging from Christopher Columbus to an open-air space showcasing the story of the Genoese shipyard—it is the exhibition on migration to and from Italy that will truly impress the visitor.

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The use of a Domain Ontology for the Management of Essential Hypertension (Preprint)

10.2196/preprints.25427 ◽

2020 ◽

Author(s):

Emma Chavez ◽

Vanessa Perez ◽

Angélica Urrutia

Keyword(s):

Decision Making ◽

Essential Hypertension ◽

Medical History ◽

Medical Records ◽

Medical Training ◽

Relevant Information ◽

Domain Ontology ◽

Free Text ◽

Snomed Ct ◽

History Of

BACKGROUND : Currently, hypertension is one of the diseases with greater risk of mortality in the world. Particularly in Chile, 90% of the population with this disease has idiopathic or essential hypertension. Essential hypertension is characterized by high blood pressure rates and it´s cause is unknown, which means that every patient might requires a different treatment, depending on their history and symptoms. Different data, such as history, symptoms, exams, etc., are generated for each patient suffering from the disease. This data is presented in the patient’s medical record, in no order, making it difficult to search for relevant information. Therefore, there is a need for a common, unified vocabulary of the terms that adequately represent the diseased, making searching within the domain more effective. OBJECTIVE The objective of this study is to develop a domain ontology for essential hypertension , therefore arranging the more significant data within the domain as tool for medical training or to support physicians’ decision making will be provided. METHODS The terms used for the ontology were extracted from the medical history of de-identified medical records, of patients with essential hypertension. The Snomed-CT’ collection of medical terms, and clinical guidelines to control the disease were also used. Methontology was used for the design, classes definition and their hierarchy, as well as relationships between concepts and instances. Three criteria were used to validate the ontology, which also helped to measure its quality. Tests were run with a dataset to verify that the tool was created according to the requirements. RESULTS An ontology of 310 instances classified into 37 classes was developed. From these, 4 super classes and 30 relationships were obtained. In the dataset tests, 100% correct and coherent answers were obtained for quality tests (3). CONCLUSIONS The development of this ontology provides a tool for physicians, specialists, and students, among others, that can be incorporated into clinical systems to support decision making regarding essential hypertension. Nevertheless, more instances should be incorporated into the ontology by carrying out further searched in the medical history or free text sections of the medical records of patients with this disease.

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A Medical History of Hong Kong

10.2307/j.ctvbtzp1t ◽

2018 ◽

Author(s):

Moira M. W. Chan-Yeung

Keyword(s):

Hong Kong ◽

Medical History ◽

History Of

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A Medical History of Hong Kong

10.2307/j.ctvzpv7mn ◽

2020 ◽

Author(s):

Moira M. W. Chan-Yeung

Keyword(s):

Hong Kong ◽

Medical History ◽

History Of

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Lymphoproliferative malignancies in patients with neurofibromatosis 1

Orphanet Journal of Rare Diseases ◽

10.1186/s13023-021-01856-8 ◽

2021 ◽

Vol 16 (1) ◽

Author(s):

Christina Bergqvist ◽

François Hemery ◽

Arnaud Jannic ◽

Salah Ferkal ◽

Pierre Wolkenstein

Keyword(s):

General Population ◽

Medical History ◽

Hodgkin Lymphoma ◽

Incidence Rate ◽

Population Based ◽

Neurofibromatosis 1 ◽

Population Based Study ◽

Non Hodgkin Lymphoma ◽

History Of

AbstractNeurofibromatosis 1 (NF1) is an inherited, autosomal-dominant, tumor predisposition syndrome with a birth incidence as high as 1:2000. A patient with NF1 is four to five times more likely to develop a malignancy as compared to the general population. The number of epidemiologic studies on lymphoproliferative malignancies in patients with NF1 is limited. The aim of this study was to determine the incidence rate of lymphoproliferative malignancies (lymphoma and leukemia) in NF1 patients followed in our referral center for neurofibromatoses. We used the Informatics for Integrated Biology and the Bedside (i2b2) platform to extract information from the hospital’s electronic health records. We performed a keyword search on clinical notes generated between Jan/01/2014 and May/11/2020 for patients aged 18 years or older. A total of 1507 patients with confirmed NF1 patients aged 18 years and above were identified (mean age 39.2 years; 57% women). The total number of person-years in follow-up was 57,736 (men, 24,327 years; women, 33,409 years). Mean length of follow-up was 38.3 years (median, 36 years). A total of 13 patients had a medical history of either lymphoma or leukemia, yielding an overall incidence rate of 22.5 per 100,000 (0.000225, 95% confidence interval (CI) 0.000223–0.000227). This incidence is similar to that of the general population in France (standardized incidence ratio 1.07, 95% CI 0.60–1.79). Four patients had a medical history leukemia and 9 patients had a medical history of lymphoma of which 7 had non-Hodgkin lymphoma, and 2 had Hodgkin lymphoma. Our results show that adults with NF1 do not have an increased tendency to develop lymphoproliferative malignancies, in contrast to the general increased risk of malignancy. While our results are consistent with the recent population-based study in Finland, they are in contrast with the larger population-based study in England whereby NF1 individuals were found to be 3 times more likely to develop both non-Hodgkin lymphoma and lymphocytic leukemia. Large-scale epidemiological studies based on nationwide data sets are thus needed to confirm our findings.

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