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Related Concept Videos

Life Tables01:22

Life Tables

A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...

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Measurement of Lifespan in Drosophila melanogaster
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Nomogram based Postmortem-interval estimation compared with the Actual death-interval in Tropical environmental

T Neithiya1, Ambika Prasad Patra1, Kusa Kumar Shaha1

  • 1Department of Forensic Medicine and Toxicology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, 605006, India.

Journal of Forensic and Legal Medicine
|October 11, 2023
PubMed
Summary

This study validates the Nomogram method for estimating postmortem interval (PMI) in India, finding it accurate for the South Indian population. Further research is recommended to refine the method and reduce discrepancies in PMI estimation.

Keywords:
DeathIntervalMethodNomogramPostmortemRectalTemperature

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Area of Science:

  • Forensic Science
  • Forensic Anthropology
  • Toxicology

Background:

  • Accurate postmortem interval (PMI) estimation is crucial for legal investigations.
  • Existing PMI estimation methods, like the Nomogram-based approach, often lack data from tropical climates, particularly in India.
  • This study addresses the need for localized PMI data in the Indian subcontinent.

Purpose of the Study:

  • To evaluate the accuracy and reliability of the Nomogram-based method for estimating PMI in bodies subjected to Indian climatic conditions.
  • To assess the goodness-of-fit of the Nomogram method in a South Indian population.

Main Methods:

  • A 3-year study involving 200 bodies with known death times.
  • Data collected included ambient temperature, body weight, length, rectal temperature, clothing, sex, and age.
  • Statistical analyses included ANOVA, Mann-Whitney U test, linear regression, Intra-class correlation coefficient (ICC), and Bland-Altman (BA) plots.

Main Results:

  • The Nomogram method showed a strong correlation with rectal temperature (R=0.77) and consistent agreement with known death intervals (ICC=0.935).
  • The method demonstrated 95% accuracy in predicting PMI, with a wide range of agreement (39.09-121.18 min) observed in Bland-Altman plots.
  • A statistically significant relationship was found between nomogram-estimated PMI (tN) and known PMI (t).

Conclusions:

  • The Nomogram method is accurate and reliable for PMI estimation in the South Indian population.
  • While generally accurate, systematic differences may exist, as indicated by the wide limits of agreement in the Bland-Altman plot.
  • Further research is needed to refine PMI estimation methods and minimize discrepancies for improved forensic applications.