Retrospective study of propionic acidemia using natural language processing in Mayo Clinic electronic health record data.

Augmented curation model Electronic health records Metabolic decompensation events Natural language processing Propionic acidemia Real-world data

Journal

Molecular genetics and metabolism
ISSN: 1096-7206
Titre abrégé: Mol Genet Metab
Pays: United States
ID NLM: 9805456

Informations de publication

Date de publication:
11 2023
Historique:
received: 29 06 2023
revised: 31 08 2023
accepted: 31 08 2023
medline: 14 11 2023
pubmed: 15 9 2023
entrez: 14 9 2023
Statut: ppublish

Résumé

Propionic acidemia (PA) is a rare autosomal recessive organic acidemia that classically presents within the first days of life with a metabolic crisis or via newborn screening and is confirmed with laboratory tests. Limited data exist on the natural history of patients with PA describing presentation, treatments, and clinical outcomes. To retrospectively describe the natural history of patients with PA in a clinical setting from a real-world database using both structured and unstructured electronic health record (EHR) data using novel data extraction techniques in a unique care setting. This retrospective study used EHR data to identify patients with PA seen at the Mayo Clinic. Unstructured clinical text (medical notes, pathology reports) were analyzed using augmented curation natural language processing models to enhance analysis of data extracted by structured data fields (International Classification of Diseases 9th or 10th revision [ICD-9/-10] codes, Current Procedural Terminology [CPT] codes, and medication orders). De-identified health records were also manually reviewed by clinical scientists to ensure data accuracy and completeness. The index date was defined as the patient's date of PA diagnosis at the Mayo Clinic. Results were reported as aggregate descriptive statistics relative to patients' index dates. Complications, therapeutic interventions, laboratory tests, procedures, and hospitalization encounters related to PA were described at and within 6 months of the patient's index date, and from medical history available before the index date. In total, 13 patients with PA were identified, with visits occurring from 1998 to 2022. Age at diagnosis ranged from birth to 3 years; age at initial evaluation at the Mayo Clinic ranged from 3 days to 28 years. The mean number of Mayo Clinic outpatient visits was 31 (median duration of care, 2 years). PA-related complications were documented in 85% of patients and included nutritional difficulties (46%), metabolic decompensation events (MDEs; 38%), neurologic abnormalities (38%), and cardiomyopathy (7%). One pair of affected siblings had mild symptoms and no complications or MDEs. All 5 patients with a history of MDEs presented with developmental delays. Among patients with MDEs, the mean frequency of outpatient clinical care visits was 10 per year, and 3 patients required inpatient hospitalization (mean duration, 16 days). The incidence of severe complications was higher among patients with MDEs than those without MDEs. Of the patients with MDEs, 2 experienced crises while receiving treatment at the Mayo Clinic, with 9 total MDEs occurring between the 2 patients. Symptoms at presentation included hyperammonemia (78%), fever and/or decreased nutritional intake (67%), hyperglycemia/hypoglycemia (56%), intercurrent upper respiratory infection and/or lethargy (44%), constipation (33%), altered mental status (33%), and cough (33%). This study highlights the range and frequency of clinical outcomes experienced by patients with PA and demonstrates the clinical burden of MDEs.

Sections du résumé

BACKGROUND
Propionic acidemia (PA) is a rare autosomal recessive organic acidemia that classically presents within the first days of life with a metabolic crisis or via newborn screening and is confirmed with laboratory tests. Limited data exist on the natural history of patients with PA describing presentation, treatments, and clinical outcomes.
OBJECTIVE
To retrospectively describe the natural history of patients with PA in a clinical setting from a real-world database using both structured and unstructured electronic health record (EHR) data using novel data extraction techniques in a unique care setting.
DESIGN/METHODS
This retrospective study used EHR data to identify patients with PA seen at the Mayo Clinic. Unstructured clinical text (medical notes, pathology reports) were analyzed using augmented curation natural language processing models to enhance analysis of data extracted by structured data fields (International Classification of Diseases 9th or 10th revision [ICD-9/-10] codes, Current Procedural Terminology [CPT] codes, and medication orders). De-identified health records were also manually reviewed by clinical scientists to ensure data accuracy and completeness. The index date was defined as the patient's date of PA diagnosis at the Mayo Clinic. Results were reported as aggregate descriptive statistics relative to patients' index dates. Complications, therapeutic interventions, laboratory tests, procedures, and hospitalization encounters related to PA were described at and within 6 months of the patient's index date, and from medical history available before the index date.
RESULTS
In total, 13 patients with PA were identified, with visits occurring from 1998 to 2022. Age at diagnosis ranged from birth to 3 years; age at initial evaluation at the Mayo Clinic ranged from 3 days to 28 years. The mean number of Mayo Clinic outpatient visits was 31 (median duration of care, 2 years). PA-related complications were documented in 85% of patients and included nutritional difficulties (46%), metabolic decompensation events (MDEs; 38%), neurologic abnormalities (38%), and cardiomyopathy (7%). One pair of affected siblings had mild symptoms and no complications or MDEs. All 5 patients with a history of MDEs presented with developmental delays. Among patients with MDEs, the mean frequency of outpatient clinical care visits was 10 per year, and 3 patients required inpatient hospitalization (mean duration, 16 days). The incidence of severe complications was higher among patients with MDEs than those without MDEs. Of the patients with MDEs, 2 experienced crises while receiving treatment at the Mayo Clinic, with 9 total MDEs occurring between the 2 patients. Symptoms at presentation included hyperammonemia (78%), fever and/or decreased nutritional intake (67%), hyperglycemia/hypoglycemia (56%), intercurrent upper respiratory infection and/or lethargy (44%), constipation (33%), altered mental status (33%), and cough (33%).
CONCLUSIONS
This study highlights the range and frequency of clinical outcomes experienced by patients with PA and demonstrates the clinical burden of MDEs.

Identifiants

pubmed: 37708666
pii: S1096-7192(23)00325-6
doi: 10.1016/j.ymgme.2023.107695
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

107695

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest VS, KBC, and RG are employees of Moderna, Inc., and may hold stock/stock options in the company. HB, ES, KC, SB, EM, TW, and BL have no conflicts to disclose.

Auteurs

Hannah Barman (H)

nference, One Main Street, Suite 400, East Arcade, 4th Floor, Cambridge, MA 02142, USA.

Vanja Sikirica (V)

Moderna, Inc., 200 Technology Sq, Cambridge, MA 02139, USA.

Katherine Carlson (K)

nference, One Main Street, Suite 400, East Arcade, 4th Floor, Cambridge, MA 02142, USA.

Eli Silvert (E)

nference, One Main Street, Suite 400, East Arcade, 4th Floor, Cambridge, MA 02142, USA.

Katherine Brewer Carlson (KB)

Moderna, Inc., 200 Technology Sq, Cambridge, MA 02139, USA.

Suzanne Boyer (S)

Division of Clinical Genomics, Mayo Clinic, 19th Floor, 200 First St. SW, Rochester, MN 55905, USA.

Ruchira Glaser (R)

Moderna, Inc., 200 Technology Sq, Cambridge, MA 02139, USA.

Eva Morava (E)

Division of Clinical Genomics, Mayo Clinic, 19th Floor, 200 First St. SW, Rochester, MN 55905, USA.

Tyler Wagner (T)

nference, One Main Street, Suite 400, East Arcade, 4th Floor, Cambridge, MA 02142, USA. Electronic address: tyler@nference.net.

Brendan Lanpher (B)

Division of Clinical Genomics, Mayo Clinic, 19th Floor, 200 First St. SW, Rochester, MN 55905, USA.

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