Research Article
Burden and Associated Genotype Patterns of High-Risk Human Papilloma Virus Infection and Cervical Cytology Abnormalities among Women in Central India
Table 1
Age-wise parity distribution of HPV-positive patients (
).
| | HPV type | | HPV 16 | HPV 18 | HPV 39, 68 | HPV 45, 59 | HPV 9 GTS | Multiple | Total () |
| Age in years | 31-40 years | 3 (75%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 1 (25%) | 0 (0.0%) | 4 (8.3%) | 41-50 years | 17 (70.8%) | 3 (12.5%) | 1 (4.2%) | 0 (0.0%) | 0 (0.0%) | 3 (12.5%) | 24 (50.0%) | 51-60 years | 6 (60%) | 0 (0.0%) | 0 (0.0%) | 2 (20%) | 0 (0.0%) | 2 (20.0%) | 10 (20.8%) | 61-70 years | 3 (30%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 2 (20%) | 5 (50%) | 10 (20.8%) | Parity | P0 | 1 (100.0%) | 0 | 0 | 0 | 0 | 0 | 1 (2.1%) | P2 | 7 (53.8%) | 1 (7.7%) | 1 (7.7%) | 1 (7.7%) | 1 (7.7%) | 2 (15.4%) | 13 (27.1%) | ≥P3 | 21 (61.7%) | 2 (5.9%) | 0 | 1 (2.9%) | 2 (5.9%) | 8 (23.5%) | 34 (70.8%) |
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Maximum age was 65, applicable to all age analyses in this study. |