Related Experiment Video

Updated: Jun 9, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.1K

Precision phenotyping for curating research cohorts of patients with unexplained post-acute sequelae of COVID-19

Alaleh Azhir1, Jonas Hügel2, Jiazi Tian3

  • 1Clinical Augmented Intelligence Group, Massachusetts General Hospital, Boston, MA, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.

Med (New York, N.Y.)
|November 9, 2024
PubMed

Insights

A new algorithm precisely identifies patients with post-acute sequelae of COVID-19 (PASC), improving accuracy and reducing bias in PASC cohort identification. This method enhances prevalence estimation and aids future PASC research.

Area of Science:

  • Health Informatics
  • Epidemiology
  • Computational Biology

Background:

  • Accurate identification of patients with post-acute sequelae of COVID-19 (PASC) is hindered by a lack of precise phenotyping algorithms.
  • Existing methods result in suboptimal accuracy, demographic biases, and underestimation of PASC prevalence.

Purpose of the Study:

  • To develop and validate a precision phenotyping algorithm for identifying PASC cohorts using electronic health records.
  • To improve the accuracy, reduce bias, and enhance the prevalence estimation of PASC.

Main Methods:

  • A retrospective case-control study utilizing longitudinal electronic health records from over 295,000 patients.
  • Development of an algorithm with an attention mechanism to differentiate PASC from other conditions.
  • Independent chart reviews for algorithm tuning and validation.

Main Results:

  • The algorithm achieved 79.9% precision in identifying a PASC cohort of over 24,000 patients.
  • Estimated PASC prevalence was 22.8%, aligning with regional national estimates.
  • The algorithm demonstrated improved precision, prevalence estimation, and reduced bias compared to ICD-10-CM code U09.9.

Conclusions:

  • Precision phenotyping for PASC offers superior accuracy and reduced bias in patient cohort identification.
  • The developed algorithm provides a robust foundation for future research into PASC's genetic, metabolomic, and clinical aspects.
Abstract

Keywords:
COVID-19PASCSARS-COV-2Translation to population healthattention mechanismlong Covidmachine learningphenotypingpost-acute sequalae

More Related Videos

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila00:06

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

13.6K
Nasal Brushing Sampling and Processing Using Digital High Speed Ciliary Videomicroscopy – Adaptation for the COVID-19 Pandemic09:03

Nasal Brushing Sampling and Processing Using Digital High Speed Ciliary Videomicroscopy – Adaptation for the COVID-19 Pandemic

Published on: November 7, 2020

4.7K

Related Concept Videos

Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies01:27

Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies

Assessing and diagnosing Chronic Obstructive Pulmonary Disease (COPD) involves a detailed approach that includes a comprehensive review of medical history, physical examination, and a variety of diagnostic tests. This thorough evaluation is essential to ensure an accurate diagnosis and guide effective management strategies.
Medical History
Acute Coronary Syndrome III: Diagnostic Studies01:30

Acute Coronary Syndrome III: Diagnostic Studies

Diagnosing acute coronary syndrome or ACS begins with a thorough patient history. Notable symptoms include central, crushing chest pain radiating to the left arm, neck, jaw, or back, along with shortness of breath, sweating (diaphoresis), nausea, vomiting, dizziness, and palpitations.It is crucial to note any history of cardiac illnesses and assess risk factors, including age, gender, smoking, hypertension, diabetes, hyperlipidemia, and a sedentary lifestyle.During physical examination, vital...