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Common Variable Immunodeficiency Disorder: A Decade of Insights from a Cohort of 150 Patients in India and the Use of Machine Learning Algorithms to Predict Severity

Crossref DOI link: https://doi.org/10.1007/s10875-025-01897-9

Published Online: 2025-08-26

Published Print: 2025-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Bargir, Umair Ahmed

Setia, Priyanka

Desai, Mukesh

S, Chandrakala

Dalvi, Aparna

Shinde, Shweta

Gupta, Maya

Jodhawat, Neha

Jose, Amrutha

Goriwale, Mayuri

Yadav, Reetika Malik

Vedpathak, Disha

Temkar, Lavina

Shabrish, Snehal

Hule, Gouri

Gowri, Vijaya

Taur, Prasad

Athavale, Amita

Jijina, Farah

Bhatia, Shobna

Shukla, Akash

Kalra, Manas

Sivasankaran, Meena

Balaji, Sarath

Jain, Punit

Sharma, Sujata

Gangadharan, Harikrishnan

Narula, Gaurav

Sharma, Ratna

Kini, Pranoti

Mangalani, Mamta

Zanwar, Abhishek

Chaudhary, Himanshi

Chaudhary, Narendra Kumar

Khurana, Ujjawal

Bavdekar, Ashish

Subramaniam, Girish

Raj, Revathi

Saniyal, Subhaprakash

Shah, Nitin

Petiwala, Tehsin

Kumar, Prawin

Pai, Venkatesh

Bhattad, Sagar

Sengupta, Abhinav

Soneja, Manish

Upase, Dayanand

Ganapule, Abhijeet

Talukdar, Indrani

Madkaikar, Manisha
Funding

Funding for this research was provided by:

Indian Council of Medical Research
License Information

Text and Data Mining valid from 2025-08-26

Version of Record valid from 2025-08-26
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Article History

Received: 5 October 2024

Accepted: 31 May 2025

First Online: 26 August 2025

Declaration

:

: The authors declare no competing interests.

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