Public Health Benefits of Applying Evidence-Based Best Practices in Managing Patients Hospitalized for COVID-19.

COVID-19 SARS-CoV-2 data science mortality real world data remdesivir

Journal

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
ISSN: 1537-6591
Titre abrégé: Clin Infect Dis
Pays: United States
ID NLM: 9203213

Informations de publication

Date de publication:
25 Oct 2024
Historique:
received: 21 08 2024
revised: 11 10 2024
accepted: 22 10 2024
medline: 25 10 2024
pubmed: 25 10 2024
entrez: 25 10 2024
Statut: aheadofprint

Résumé

As COVID-19-related mortality remains a concern, optimal management of patients hospitalized for COVID-19 continues to evolve. We developed a population model based on real-world evidence to quantify the clinical impact of increased utilization of remdesivir, the effectiveness of which has been well established in hospitalized patients with COVID-19. The PINC AI healthcare database records for patients hospitalized for COVID-19 from January to December 2023 were stratified by those treated with or without remdesivir ("RDV" and "No RDV") and by supplemental oxygen requirements: no supplemental oxygen charges (NSOc), low-flow oxygen (LFO), and high-flow oxygen/non-invasive ventilation (HFO/NIV). Key vulnerable subgroups such as elderly and immunocompromised patients were also evaluated. The model applied previously published hazard ratios (HRs) to 28-day in-hospital mortality incidence to determine the number of potential lives saved if additional "No RDV" patients had been treated with remdesivir upon hospital admission. Of 84,810 hospitalizations for COVID-19 in 2023, 13,233 "No RDV" patients were similar in terms of characteristics and clinical presentation to the "RDV" patients. The model predicted that initiation of remdesivir in these patients could have saved 231 lives. Projected nationally, this translates to >800 potential lives saved (95% CI: 469-1,126). Eighty-nine percent of potential lives saved were elderly and 19% were immunocompromised individuals. Seventy-one percent were among NSOc or LFO patients. This public health model underscores the value of initiating remdesivir upon admission in patients hospitalized for COVID-19, in accordance with evidence-based best practices, to minimize lives lost due to SARS-CoV-2 infection.

Sections du résumé

BACKGROUND BACKGROUND
As COVID-19-related mortality remains a concern, optimal management of patients hospitalized for COVID-19 continues to evolve. We developed a population model based on real-world evidence to quantify the clinical impact of increased utilization of remdesivir, the effectiveness of which has been well established in hospitalized patients with COVID-19.
METHODS METHODS
The PINC AI healthcare database records for patients hospitalized for COVID-19 from January to December 2023 were stratified by those treated with or without remdesivir ("RDV" and "No RDV") and by supplemental oxygen requirements: no supplemental oxygen charges (NSOc), low-flow oxygen (LFO), and high-flow oxygen/non-invasive ventilation (HFO/NIV). Key vulnerable subgroups such as elderly and immunocompromised patients were also evaluated. The model applied previously published hazard ratios (HRs) to 28-day in-hospital mortality incidence to determine the number of potential lives saved if additional "No RDV" patients had been treated with remdesivir upon hospital admission.
RESULTS RESULTS
Of 84,810 hospitalizations for COVID-19 in 2023, 13,233 "No RDV" patients were similar in terms of characteristics and clinical presentation to the "RDV" patients. The model predicted that initiation of remdesivir in these patients could have saved 231 lives. Projected nationally, this translates to >800 potential lives saved (95% CI: 469-1,126). Eighty-nine percent of potential lives saved were elderly and 19% were immunocompromised individuals. Seventy-one percent were among NSOc or LFO patients.
CONCLUSIONS CONCLUSIONS
This public health model underscores the value of initiating remdesivir upon admission in patients hospitalized for COVID-19, in accordance with evidence-based best practices, to minimize lives lost due to SARS-CoV-2 infection.

Identifiants

pubmed: 39449663
pii: 7840723
doi: 10.1093/cid/ciae517
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of Infectious Diseases Society of America.

Auteurs

Andre C Kalil (AC)

University of Nebraska Medical Center, Omaha, Nebraska, USA.

Aastha Chandak (A)

Certara, New York, New York, USA.

Luke S P Moore (LSP)

Imperial College, London, United Kingdom.

Neera Ahuja (N)

Stanford University School of Medicine, Stanford, California, USA.

Martin Kolditz (M)

Medical Department I, Division of Pulmonology, University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany.

Roman Casciano (R)

Certara, New York, New York, USA.

Ananth Kadambi (A)

Certara, New York, New York, USA.

Mohsen Yaghoubi (M)

Certara, New York, New York, USA.

Sotirios Tsiodras (S)

Professor of Medicine and Infectious Diseases; National & Kapodistrian University of Athens Medical School; Chair, 4th Department of Internal Medicine, Attikon University Hospital, Athens, Greece.

Jakob J Malin (JJ)

Department I of Internal Medicine, Division of Infectious Diseases, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.

Essy Mozaffari (E)

Gilead Sciences, Foster City, California, USA.

Michele Bartoletti (M)

Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Pieve Emanuele, Milan, Italy.
Infectious Disease Unit, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy.

Classifications MeSH