Evidence map›Paper›PMID 41911575›Full record

ArticleChronic obstructive pulmonary diseases (Miami, Fla.)2026

Clinical Characteristics and Health Care Resource Utilization Among Individuals Undergoing Alpha-1 Antitrypsin Testing in a Quaternary Health System.

Drew D Robinson, Chia-Ying Chiu, Jane I Hampton, George M Solomon, J Michael Wells

Abstract read
In one paragraph

Article in Chronic obstructive pulmonary diseases (Miami, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Drew D RobinsonDivision of Pulmonary, Allergy, and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States.
Chia-Ying ChiuDivision of Pulmonary, Allergy, and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States.
Jane I HamptonDepartment of Pediatric Critical Care Medicine, Baylor College of Medicine, Houston, Texas, United States.
George M SolomonDivision of Pulmonary, Allergy, and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States.
J Michael WellsDivision of Pulmonary, Allergy, and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale: Alpha-1 antitrypsin deficiency (AATD) is a genetically inherited condition that can result in serious lung and liver disease. It is unclear whether testing for common alleles is sufficient or if testing for rare variants is helpful in identifying clinically significant disease. Methods: A retrospective review was performed on adult patients who had alpha-1 antitrypsin phenotyping from January 2016 through December 2021. We recorded clinical characteristics and then grouped patients based on Pi*types: normal, Pi*Z-heterozygotes (Het), Pi*ZZ, Pi*S-Hets, and defined a Pi*Non-S/Non-Z group to include other identified Pi*types. Chi-square and Kruskal-Wallis tests were used for bivariate analyses, generalized linear models for modeling forced expiratory volume in 1-second (FEV Results: A total of 1777 tests were ordered from January 2016 through December 2021. Testing identified 79.5% Pi*MM, 8.4% Pi*Z-Het, 8.4% Pi*S-Het, 3.3% Pi*Non-S/Non-Z, and 0.5% Pi*ZZ. FEV Conclusion: AATD Pi*typing identified several allelic combinations not previously linked with clinical disease. Compared to other Pi*type groups, the Pi*Non-S/Non-Z group had impairments in pulmonary function, elevated inflammatory markers, higher health care utilization, and death. Our results underpin the need to explore relationships between rare allelic combinations and clinical outcomes.

Indexed as

alpha-1 antitrypsin deficiencyforced expiratory volume in 1 secondforced vital capacityhealth care utilizationpatient characteristics

Identifiers

PMID41911575
PMCPMC13382952

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