Analysis of Fingerprint Patterns and Gender Variations in Patients with Chronic Disease
DOI:
https://doi.org/10.36283/ziun-pjmd14-3/028Keywords:
Dermatoglyphics, Chronic Disease, Fingerprints, MedicolegalAbstract
Background: Dermatoglyphics is a recognized method for personal identification and is vital for medico-legal research. This study was conducted to analyze fingerprint patterns and gender variations in patients with a history of chronic disease in Karachi, Pakistan.
Methods: This cross-sectional study was carried out from August 20, 2024, to November 31, 2024, after IRB approval. Proforma was filled, and digital fingerprint samples were collected from the medical OPD of CMH, Malir Cantt, from participants of either gender having a history of chronic diseases (age range 18-65 years). A consecutive sampling technique was used, and the sample size was determined to be 480. Frequency and percentages were calculated for descriptive statistics. Chi-square test was employed to determine differences in fingerprint pattern by gender, with results assessed at p ≤ 0.05.
Results: A Total of 5,100 fingerprints were recorded from 510 participants with equal gender participation. Loop patterns were the most frequent (65.3%) fingerprint pattern in the population studied. Males tend to show a predominance of loops (33%), whereas females display a higher frequency of whorls (13%) and arches (4.3%). Fingerprint patterns varied among participants with different medical histories: whorls were most common in cardiovascular disease (50%), loops in Diabetes Mellitus (55%) and COPD (45%), and both loops and whorls (44.5%) were equally prevalent in hypertension.
Conclusion: Loop patterns emerged as the most frequent fingerprint pattern with distinct gender variation. Furthermore, variation in fingerprint patterns among participants with different medical histories implies that fingerprint patterns may serve as an early biomarker for chronic disease susceptibility, which warrants further investigation.
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