Evidence map›Paper›PMID 30075337›Full record

ArticleThe journal of allergy and clinical immunology. In practice2019

Identification of Inpatient Allergic Drug Reactions Using ICD-9-CM Codes.

Rebecca R Saff, Yu Li, Nikita Santhanakrishnan, Carlos A Camargo, Kimberly G Blumenthal, Li Zhou, Aleena Banerji

Open access · greenAbstract read
In one paragraph

Article in The journal of allergy and clinical immunology. In practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Rebecca R SaffDivision of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Boston, Mass; Harvard Medical School, Boston, Mass. Electronic address: rsaff@partners.org.
Yu LiDivision of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Boston, Mass; Medical Practice Evaluation Center, Department of Medicine, Massachusetts General Hospital, Boston, Mass.
Nikita SanthanakrishnanBoston University, Boston, Mass.
Carlos A CamargoDivision of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Boston, Mass; Harvard Medical School, Boston, Mass; Department of Emergency Medicine, Massachusetts General Hospital, Boston, Mass.
Kimberly G BlumenthalDivision of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Boston, Mass; Harvard Medical School, Boston, Mass; Medical Practice Evaluation Center, Department of Medicine, Massachusetts General Hospital, Boston, Mass; Edward P. Lawrence Center for Quality and Safety, Massachusetts General Hospital, Boston, Mass.
Li ZhouHarvard Medical School, Boston, Mass; Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Mass; Clinical Informatics, Partners eCare, Partners HealthCare System, Boston, Mass.
Aleena BanerjiDivision of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Boston, Mass; Harvard Medical School, Boston, Mass.
Massachusetts General Hospital · USBoston University · USBrigham and Women's Hospital · USHarvard University · US

Funding

Improving Allergy Documentation and Clinical Decision Support in the EHRR01HS025375 · AHRQ · BRIGHAM AND WOMEN'S HOSPITAL · PI ZHOU, LI · 2018 to 2021
$1.6M
AHRQ HHS R01 HS022728AHRQ HHS R01 HS025375
6 · The paper itself

Abstract

backgroundThe study of allergic drug reactions has been limited because of challenges in identifying and confirming cases.

objectiveTo determine the utility of International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes for identifying inpatient allergic drug reactions and to compare findings with previous data in the emergency department.

methodsBy reviewing medical records of inpatients with ICD-9-CM codes and E codes suggestive of allergic drug reactions at a large urban academic medical center, we determined codes that yielded the most drug allergy cases and identified culprit drugs.

resultsIn 2005 and 2010, 3337 and 5282 possible allergic drug reactions during hospitalization were identified and 1367 were reviewed. Allergic drug reactions were found in 409 (30.1%) of the reviewed charts, with 172 (29.7%) in 2005 and 237 (30.5%) in 2010. The codes that identified the highest percentage of true allergic drug reactions were dermatitis due to drug (693.0), allergic urticaria (708), angioneurotic edema (995.1), and anaphylaxis (995.0). Antibiotics were the most common cause (44.4%); however, multiple drug classes were often identified as likely culprit drugs.

conclusionSpecific ICD-9-CM codes can identify patients with allergic drug reactions, with antibiotics accounting for almost half of true reactions. Most patients with codes 693.0, 995.1, 708, and 995.0 had allergic drug reactions, with 693.0 as the highest yield code. An aggregate of multiple specific codes consistently identifies a cohort of patients with confirmed allergic drug reactions.

Indexed as

International Classification of DiseasesAdultAgedAllergensAnaphylaxisAngioedemaAnti-Bacterial AgentsDermatitisDrug HypersensitivityFemaleHumansInpatientsMaleMiddle AgedUrticariaAllergensAnti-Bacterial AgentsAdverse drug reactionsClinical Modification (ICD-9-CM) codesDrug allergyDrug hypersensitivityEpidemiologyInternational Classification of DiseasesNinth Revision

Identifiers

PMID30075337
PMCPMC7213838
OpenAlexW2885454211

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.