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New reference tables and user-friendly Internet application for predicted heart weights
Jessica Vanhaebost1, Mohamed Faouzi, Patrice Mangin
1University Center of Legal Medicine, Lausanne, Switzerland.
Insights
Updated heart weight reference tables are crucial for pathology. Body surface area (BSA) is the best predictor of normal heart weight, with new tools available for comparison.
Area of Science:
- Forensic Pathology
- Cardiovascular Pathology
- Anthropometry
Background:
- Accurate normal heart weight ranges are vital for pathological assessment.
- Existing reference tables are outdated and require updating.
- Heart weight increases in various cardiac pathologies.
Purpose of the Study:
- Establish updated reference tables for normal heart weights in the local population.
- Identify the optimal predictive factor for normal heart weight.
- Develop tools for calculating predicted normal heart weight.
Main Methods:
- Retrospective analysis of 288 adult Caucasian autopsy cases (2007-2011).
- Exclusion of cases with obvious pathology.
- Regression analyses to correlate heart weight with body weight, height, BMI, and BSA.
Main Results:
- Heart weight positively correlated with body weight, height, BMI, and BSA.
- Mean heart weight was higher in males than females at similar body weights.
- Body surface area (BSA) emerged as the strongest predictor of normal heart weight.
Conclusions:
- Systematic updates and local adaptation of organ weight reference tables are necessary.
- Web and smartphone applications for predicted heart weight offer valuable diagnostic support.
Background:
Knowledge of normal heart weight ranges is important information for pathologists. Comparing the measured heart weight to reference values is one of the key elements used to determine if the heart is pathological, as heart weight increases in many cardiac pathologies. The current reference tables are old and in need of an update.
Aims:
The purposes of this study are to establish new reference tables for normal heart weights in the local population and to determine the best predictive factor for normal heart weight. We also aim to provide technical support to calculate the predictive normal heart weight.
Methods:
The reference values are based on retrospective analysis of adult Caucasian autopsy cases without any obvious pathology that were collected at the University Centre of Legal Medicine in Lausanne from 2007 to 2011. We selected 288 cases. The mean age was 39.2 years. There were 118 men and 170 women. Regression analyses were performed to assess the relationship of heart weight to body weight, body height, body mass index (BMI) and body surface area (BSA).
Results:
The heart weight increased along with an increase in all the parameters studied. The mean heart weight was greater in men than in women at a similar body weight. BSA was determined to be the best predictor for normal heart weight. New reference tables for predicted heart weights are presented as a web application that enable the comparison of heart weights observed at autopsy with the reference values.
Conclusions:
The reference tables for heart weight and other organs should be systematically updated and adapted for the local population. Web access and smartphone applications for the predicted heart weight represent important investigational tools.
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