Heart Failure Biomarker Database


The original intention of creating HFBD
HF not only increases medical costs, mortality, morbidity, and hospitalizations, but also decreases the health-related quality of life and functional status. Therefore, HF prevention and management has become an important global public health problem.

The concept of a biomarker was first introduced in 1989 and standardized in 2001. A biomarker is a traceable substance in a normal biological process, organ function, particular disease state, or pharmacologic response to a therapeutic intervention

To date, no HF biomarker database (HFBD) has been created. Notably, echocardiography, electrocardiography, blood tests, and chest radiography are all useful in determining the underlying cause of HF. Therefore, establishing an HFBD to integrate those data with available HF biomarker information may provide a practical and efficient research tool.

Data collection and statistics

Items in the database

PID or ID

Unique number ID of heart failure biomarker, PID represents part information of heart failure biomarker, ID represents all information of heart failure biomarker

Biomarker

Abbreviation for the name of heart failure biomarker

FullName

Full name of heart failure biomarker

Category

Biological category of heart failure biomarker(Molecule (RNA, Protein, Gene...), Physiology, Image)

Description

Description of heart failure biomarker

Disease_Kinds

The subtype of heart failure

Disease_Phase or Biomarker_Type

Biomarker application(diagnosis, prognosis, treatment)

NYHA

The New York Heart Association (NYHA) Functional Classification(I, II, III, IV), providing a simple way of classifying the extent of heart failure

Race

Race of participants in the experiment

Number

The number of participants in the experiment

Male

The number of male in the experiment

Female

The number of female in the experiment

Male/Female

The ratio of male to female in the experiment

Mean_Age

Mean age of participants in the experiment

Range_Age

Range age of participants in the experiment

Source

Sample in the experiment, including blood, plasma, urine...

Experiment

Experiment method

Statistics

Statistics results of research, including AUC, ROC, OR, HR, 95%CI, Sensitivity, Specificity, Negative predictive value(NPV), Positive predictive value(PPV) and P...

Conclusion

Research conclusion

Addition

Additional information

PMID

PubMed ID of research

First_Author

First Author

Region

Region where the biomarker research (first author) from, including continent, country, and city

Journal_Time

Journal name and published time of an original article in PubMed


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