Heliyon (May 2023)

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

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

Journal volume & issue
Vol. 9, no. 5
p. e15965

Abstract

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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.

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