A population based study on human papillomavirus infection and associated risk factors among women of the remote South Andaman Island, India.

BACKGROUND: Human papillomavirus (HPV) is associated with cervical cancer and cervical dysplasia worldwide. Data on HPV prevalence in a region is important because it serves as a predictor of the likelihood of the population in that particular region acquiring cervical cancer. Moreover, with the availability of effective vaccines, the public health system must be aware of the preponderance of HPV to implement the vaccine. The present study was designed to understand the prevalence of HPV and associated factors among the women of South Andaman Island. METHODS: A cross-sectional study was conducted among married women of reproductive age (18-59 years) from South Andaman District from 2018 to 2022. Cervical scrapes were collected from participants after obtaining informed written consent for HPV molecular testing (HPV DNA) such as PCR assay. Demographic data was collected using a standard questionnaire and statistical analyses were performed to determine the associated factors. RESULTS: The study showed prevalence of HPV as 5.9%(95% CI: 3.9-7.9) and prevalence of HR-HPV16 was 4.1% (95% CI 2.6 - 5.5) and HR-HPV18 prevalence was 1.8(95% CI: 0.6-3). The independent factors associated the HPV positivity were age above 55 years, menopause, post-menopausal bleeding, blood-stained vaginal discharge and loss of weight. Age was associated with all HPV infections among the South Andaman women. CONCLUSIONS: HPV 16 was reported as the predominant high risk HPV type circulating among women of South Andaman. Cervical cancer and precancerous lesions were significantly associated with HPV positivity and High risk HPV 16. Based on the knowledge of the risk factors associated with HPV, implementation of stronger public health awareness and prophylactic HPV vaccination is crucial among the women of this remote island.

Distribution of Human Papillomavirus Genotypes among the Women of South Andaman Island, India.

BACKGROUND: Human Papillomavirus (HPV) causes various types of cancer in both men and women. Woman with HPV infection has a risk of developing invasive cervical cancer. Globally, HPV 16 and 18 were predominant. This study aims to find the distribution of various HPV types in South Andaman. METHODS: A cross-sectional study was conducted among women in South Andaman, where cervical scrapes were collected after collecting written informed consent. Detection of HPV genotypes was carried out by using a PCR assay. Further, sequencing analysis was performed using MEGA11 to identify various genotypes in this territory. RESULT: Of these 1000 samples, 32 were positive for HR-HPV 16, and four were positive for HR-HPV 18. Fifteen HPV genotypes were detected using molecular evolutionary analysis. Six cases were identified with multiple genotypes. The most prevalent genotype is HPV 16 which belongs to Lineage-A and sub-lineage A2. HPV 18 identified in South Andaman belonged to the lineage A1 to A5. DISCUSSION: Various HPV types were identified among women in South Andaman. Global burden of cervical cancer associated with various HPV sub-lineages. HPV-16 A1 sub-lineage was globally widespread, whereas sub-lineages A1, A2 and D1 prevailed in South Andaman. CONCLUSIONS: HR-HPV identified in this study enlightens the importance of HPV vaccination among women in remote places. These findings will help to strengthen public health awareness programs and prevention strategies for women in remote areas.

Maternal Mortality in the Remote Islands of India-Unraveling the Conundrum.

Introduction: Reduction in maternal mortality has been a top priority in low- and lower middle-income countries of Asia-Pacific region. India, being one of them, has a major responsibility of reducing maternal mortality especially in light of the commitment on the part of the Sustainable Development Goals. Despite massive efforts and availability of technology needed to avert maternal deaths, the maternal mortality ratio (MMR) in India continues to be high especially in remote areas. This study aims at collecting the MMR data and analyzing in the context of island infrastructure. Material and Methods: This was a hospital-based cross-sectional study. The records of maternal deaths from January 2010 to December 2019 were collected from the medical record section and analyzed. Results: The MMR was estimated to be 95.63 per 100,000 live births. Majority of the patients were multigravida (82%) in the age group of 21 to 30 years (75%). Around 64% of them were referred cases. Majority (86%) of the deaths occurred in the postpartum period. Hemorrhage was the leading direct cause of maternal deaths (35.7%) followed by hypertensive disorders of pregnancy (HDP) (21.4%). Conclusion: Most maternal deaths are preventable. Early detection of high-risk pregnancies and early referral of such patients to a well-equipped center is the key to curb the catastrophe of mortality. Adopting methods like qSOFA (quick sequential organ failure assessment) for identifying patients requiring intensive care and miniPIERS (Preeclampsia Integrated Estimate of RiSk) model for predicting adverse outcome in HDP is the need of hour. More efforts should be made to retain the specialists in the islands.

Maternal Near Miss: Unraveling Our Experience in the Tertiary Care Hospital of Andaman and Nicobar Islands.

CONTEXT: Women who survive life-threatening complications related to pregnancy and delivery have many common aspects with those who die of such complications. This similarity brought forward the near miss concept in maternal health. Analysis of the similarities, differences, and the relationship between these two groups of women provide a complete assessment of quality of maternal health care. AIMS: The aim of this study is to assess the baseline indices of maternal near miss (MNM) and analyze the quality of care at a tertiary care center in Andaman and Nicobar Islands. SETTINGS AND DESIGN: Facility-based, cross-sectional study. SUBJECTS AND METHODS: The study was conducted for a period of 18 months from January 1, 2015, to August 31, 2016. Cases, who met the World Health Organization (WHO) criteria of severe obstetric morbidity, were included and followed up during their hospital stay and till their discharge or death. Quality of maternal health care was assessed through the WHO near-miss criteria and criterion-based clinical audit methodology. STATISTICAL ANALYSIS USED: Descriptive statistics using mean and percentages and Student's t-test were used. RESULTS: Among 4720 women who delivered in our hospital, there were 4677 live births, 52 patients were near miss, and there were 9 maternal deaths. The MNM incidence ratio was 11.11%, the MNM mortality ratio was 5.77, and the mortality index 14.75%. The most common cause of maternal morbidity was hemorrhage followed by hypertensive disorders. CONCLUSIONS: Improving referral systems, effective use of critical care, and evidence-based interventions can potentially reduce severe maternal outcomes.

Maternal mortality in andaman and nicobar group of islands: 10 years retrospective study.

CONTEXT: Maternal mortality ratio (MMR) is an indicator of effectiveness of health care facilities for women of child bearing age group. Andaman and Nicobar (A&N) group of islands are unique as they are situated 1200 km from the mainland India. Healthcare delivery for the these islands is exclusively provided and controlled by only one authority, Directorate of Health Services, A&N Islands. GB Pant Hospital, Port Blair is the only referral hospital with round the clock specialists and surgical services. AIMS: To estimate the MMR in A&N islands from 2001 to 2010, and study the causes of maternal mortality. SETTINGS AND DESIGN: Retrospective. MATERIALS AND METHODS: Data for the estimation of MMR were collected from office of Registrar of Births and Deaths, Hospital and Peripheral Health Centres. Case records of maternal deaths in GB Pant Hospital were reviewed to study the causes of death. STATISTICAL ANALYSIS USED: Proportions and Ratios. RESULTS: Ten years average MMR for the entire island was 85.42. Analysis of 30 maternal deaths in GB Pant Hospital showed that 63.3% were due to direct obstetric causes (eclampsia 30%, hemorrhage 23.33%, sepsis 6.66%, and 3.33% amniotic fluid embolism). Of the indirect causes, anemia was the commonest (16.66%). CONCLUSIONS: The MMR of A&N islands is much lower than the national average of 250. Direct obstetric causes accounted for more than half of maternal deaths 63.33%.