<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>45(1)</volume><submitter>Bargir UA</submitter><pubmed_abstract>Common Variable Immunodeficiency (CVID) is a heterogeneous disorder characterized by impaired antibody production and recurrent infections. In this study we investigated the clinical and immunological features of CVID in Indian patients and develops a machine learning model for predicting disease severity. We retrospectively analyzed 150 patients diagnosed with CVID over a decade at a tertiary care center in India. The median age of diagnosis was 18 years, with a male predominance (62%). The majority of patients (66.6%) had a severe phenotype, with recurrent respiratory tract infections being the most common clinical manifestation (84.2%). Gastrointestinal complications were observed in 45% of patients, while autoimmune manifestations were seen in 21%. All patients exhibited hypogammaglobu</pubmed_abstract><journal>Journal of clinical immunology</journal><pagination>127</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12380919</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>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.</pubmed_title><pmcid>PMC12380919</pmcid><pubmed_authors>Mangalani M</pubmed_authors><pubmed_authors>Shah N</pubmed_authors><pubmed_authors>Gangadharan H</pubmed_authors><pubmed_authors>Chaudhary H</pubmed_authors><pubmed_authors>Kumar P</pubmed_authors><pubmed_authors>Hule G</pubmed_authors><pubmed_authors>Jijina F</pubmed_authors><pubmed_authors>Setia P</pubmed_authors><pubmed_authors>Gowri V</pubmed_authors><pubmed_authors>Soneja M</pubmed_authors><pubmed_authors>Gupta M</pubmed_authors><pubmed_authors>Jain P</pubmed_authors><pubmed_authors>Sharma S</pubmed_authors><pubmed_authors>Sharma R</pubmed_authors><pubmed_authors>Narula G</pubmed_authors><pubmed_authors>Bargir UA</pubmed_authors><pubmed_authors>Zanwar A</pubmed_authors><pubmed_authors>S C</pubmed_authors><pubmed_authors>Madkaikar M</pubmed_authors><pubmed_authors>Pai V</pubmed_authors><pubmed_authors>Shinde S</pubmed_authors><pubmed_authors>Khurana U</pubmed_authors><pubmed_authors>Jose A</pubmed_authors><pubmed_authors>Ganapule A</pubmed_authors><pubmed_authors>Shabrish S</pubmed_authors><pubmed_authors>Desai M</pubmed_authors><pubmed_authors>Temkar L</pubmed_authors><pubmed_authors>Bavdekar A</pubmed_authors><pubmed_authors>Vedpathak D</pubmed_authors><pubmed_authors>Bhatia S</pubmed_authors><pubmed_authors>Bhattad S</pubmed_authors><pubmed_authors>Talukdar I</pubmed_authors><pubmed_authors>Subramaniam G</pubmed_authors><pubmed_authors>Dalvi A</pubmed_authors><pubmed_authors>Athavale A</pubmed_authors><pubmed_authors>Balaji S</pubmed_authors><pubmed_authors>Raj R</pubmed_authors><pubmed_authors>Kini P</pubmed_authors><pubmed_authors>Upase D</pubmed_authors><pubmed_authors>Jodhawat N</pubmed_authors><pubmed_authors>Sivasankaran M</pubmed_authors><pubmed_authors>Shukla A</pubmed_authors><pubmed_authors>Sengupta A</pubmed_authors><pubmed_authors>Chaudhary NK</pubmed_authors><pubmed_authors>Kalra M</pubmed_authors><pubmed_authors>Goriwale M</pubmed_authors><pubmed_authors>Yadav RM</pubmed_authors><pubmed_authors>Saniyal S</pubmed_authors><pubmed_authors>Taur P</pubmed_authors><pubmed_authors>Petiwala T</pubmed_authors></additional><is_claimable>false</is_claimable><name>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.</name><description>Common Variable Immunodeficiency (CVID) is a heterogeneous disorder characterized by impaired antibody production and recurrent infections. In this study we investigated the clinical and immunological features of CVID in Indian patients and develops a machine learning model for predicting disease severity. We retrospectively analyzed 150 patients diagnosed with CVID over a decade at a tertiary care center in India. The median age of diagnosis was 18 years, with a male predominance (62%). The majority of patients (66.6%) had a severe phenotype, with recurrent respiratory tract infections being the most common clinical manifestation (84.2%). Gastrointestinal complications were observed in 45% of patients, while autoimmune manifestations were seen in 21%. All patients exhibited hypogammaglobu</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Aug</publication><modification>2026-05-10T04:29:29.394Z</modification><creation>2026-04-08T01:29:33.694Z</creation></dates><accession>S-EPMC12380919</accession><cross_references><pubmed>40856873</pubmed><doi>10.1007/s10875-025-01897-9</doi></cross_references></HashMap>