Unknown

Dataset Information

0

Congenital rubella syndrome surveillance in India, 2016-21: Analysis of five years surveillance data.


ABSTRACT:

Background

In India, facility-based surveillance for congenital rubella syndrome (CRS) was initiated in 2016 to estimate the burden and monitor the progress made in rubella control. We analyzed the surveillance data for 2016-2021 from 14 sentinel sites to describe the epidemiology of CRS.

Method

We analyzed the surveillance data to describe the distribution of suspected and laboratory confirmed CRS patients by time, place and person characteristics. We compared clinical signs of laboratory confirmed CRS and discarded case-patients to find independent predictors of CRS using logistic regression analysis and developed a risk prediction model.

Results

During 2016-21, surveillance sites enrolled 3940 suspected CRS case-patients (Age 3.5 months, SD: 3.5). About one-fifth (n = 813, 20.6%) were enrolled during newborn examination. Of the suspected CRS patients, 493 (12.5%) had laboratory evidence of rubella infection. The proportion of laboratory confirmed CRS cases declined from 26% in 2017 to 8.7% in 2021. Laboratory confirmed patients had higher odds of having hearing impairment (Odds ratio [OR] = 9.5, 95% confidence interval [CI]: 5.6-16.2), cataract (OR = 7.8, 95% CI: 5.4-11.2), pigmentary retinopathy (OR = 6.7, 95 CI: 3.3-13.6), structural heart defect with hearing impairment (OR = 3.8, 95% CI: 1.2-12.2) and glaucoma (OR = 3.1, 95% CI: 1.2-8.1). Nomogram, along with a web version, was developed.

Conclusions

Rubella continues to be a significant public health issue in India. The declining trend of test positivity among suspected CRS case-patients needs to be monitored through continued surveillance in these sentinel sites.

SUBMITTER: Shanmugasundaram D 

PROVIDER: S-EPMC10209330 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature

altmetric image

Publications

Congenital rubella syndrome surveillance in India, 2016-21: Analysis of five years surveillance data.

Shanmugasundaram Devika D   Verma Sanjay S   Singh Kuldeep K   Dwibedi Bhagirathi B   Awasthi Shally S   Mahantesh S S   Singh Himabindu H   Santhanam Sridhar S   Mondal Nivedita N   S Geetha G   Sreenivasan Priya P   Malik Shikha S   Jain Manish M   Viswanathan Rajlakshmi R   Tripathi Shalini S   Patel Bhupeshwari B   Sapkal Gajanan G   Sabarinathan R R   Singh Mini P MP   Ratho R K RK   Nag Vijaylakshmi V   Gadepalli Ravishekhar R   Som Tapas Kumar TK   Mishra Baijayantimala B   Jain Amita A   Ashok M M   Madhuri Devara Sudha DS   Rani V Sudha VS   Abraham Asha Mary AM   John Deepa D   Dhodapkar Rahul R   Syed Ali A A   Biswas Debasis D   Pratyeke Deepashri D   Bavdekar Ashish A   Prakash Jayant J   Singh Varsha V   Prasad Nidhi N   Ray Jaydeb J   Majumdar Agniva A   Dutta Shanta S   Gupta Nivedita N   Murhekar Manoj M   Sharma Akhil A   Ghosh Aniruddha A   Alexander Arun A   Baranwal Arun A   Anantharaj Avinash A   Bethou Adhisivam A   Shekhawat Dolat S DS   Kiruthika G G   Ram Jagat J   Gupta Madhu M   Gowda Mamatha M   Rohit Manoj K MK   Dash Nabaneeta N   Sankhyan Naveen N   Kaushal Nidhi N   Shivanna Niranjan Hunasanahalli NH   Kasturi Nirupama N   Kumar P Prem PP   Gupta Parul Chawla PC   Gunasekaran Pradeep Kumar PK   Singh Pratibha P   Kumar Praveen P   Munjal Sanjay Kumar SK   Agarwal Siddharth S   Manasa Suhani S   Shukla Suruchi S   Nehra Urvashi U   Verghese Valsan P VP   Vyas Varuna V   Gupta Vikas V  

Heliyon 20230509 5


<h4>Background</h4>In India, facility-based surveillance for congenital rubella syndrome (CRS) was initiated in 2016 to estimate the burden and monitor the progress made in rubella control. We analyzed the surveillance data for 2016-2021 from 14 sentinel sites to describe the epidemiology of CRS.<h4>Method</h4>We analyzed the surveillance data to describe the distribution of suspected and laboratory confirmed CRS patients by time, place and person characteristics. We compared clinical signs of l  ...[more]

Similar Datasets

| S-EPMC6996802 | biostudies-literature
| S-EPMC10474486 | biostudies-literature
| S-EPMC8376255 | biostudies-literature
| S-EPMC4514341 | biostudies-other
| S-EPMC4739417 | biostudies-literature
| S-EPMC6495013 | biostudies-literature
| S-EPMC3647901 | biostudies-literature
| S-EPMC6863812 | biostudies-literature
| S-EPMC7912610 | biostudies-literature
| S-EPMC10689248 | biostudies-literature