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Laing R, Donnelly CA. Evolution of an epidemic: Understanding the opioid epidemic in the United States and the impact of the COVID-19 pandemic on opioid-related mortality. PLoS One 2024; 19:e0306395. [PMID: 38980856 PMCID: PMC11233025 DOI: 10.1371/journal.pone.0306395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 05/31/2024] [Indexed: 07/11/2024] Open
Abstract
We conduct this research with a two-fold aim: providing a quantitative analysis of the opioid epidemic in the United States (U.S.), and exploring the impact of the COVID-19 pandemic on opioid-related mortality. The duration and persistence of the opioid epidemic lends itself to the need for an overarching analysis with extensive scope. Additionally, studying the ramifications of these concurrent severe public health crises is vital for informing policies to avoid preventable mortality. Using data from CDC WONDER, we consider opioid-related deaths grouped by Census Region spanning January 1999 to October 2022 inclusive, and later add on a demographic component with gender-stratification. Through the lens of key events in the opioid epidemic, we build an interrupted time series model to reveal statistically significant drivers of opioid-related mortality. We then employ a counterfactual to approximate trends in the absence of COVID-19, and estimate excess opioid-related deaths (defined as observed opioid-related deaths minus projected opioid-related deaths) associated with the pandemic. According to our model, the proliferation of fentanyl contributed to sustained increases in opioid-related death rates across three of the four U.S. census regions, corroborating existing knowledge in the field. Critically, each region has an immediate increase to its opioid-related monthly death rate of at least 0.31 deaths per 100,000 persons at the start of the pandemic, highlighting the nationwide knock-on effects of COVID-19. There are consistent positive deviations from the expected monthly opioid-related death rate and a sizable burden from cumulative excess opioid-related deaths, surpassing 60,000 additional deaths nationally from March 2020 to October 2022, ∼70% of which were male. These results suggest that robust, multi-faceted measures are even more important in light of the COVID-19 pandemic to prevent overdoses and educate users on the risks associated with potent synthetic opioids such as fentanyl.
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Affiliation(s)
- Rachel Laing
- Department of Statistics, University of Oxford, Oxford, United Kingdom
- Division of Infectious Diseases, Massachusetts General Hospital, Cambridge, Massachusetts, United States of America
| | - Christl A Donnelly
- Department of Statistics, University of Oxford, Oxford, United Kingdom
- Pandemic Sciences Institute, University of Oxford, Oxford, United Kingdom
- MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, United Kingdom
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Alsakarneh S, Jaber F, Qasim H, Massad A, Alzghoul H, Abboud Y, Dahiya DS, Bilal M, Shaukat A. Increased Risk of Breakthrough SARS-CoV-2 Infections in Patients with Colorectal Cancer: A Population-Based Propensity-Matched Analysis. J Clin Med 2024; 13:2495. [PMID: 38731022 PMCID: PMC11084503 DOI: 10.3390/jcm13092495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 04/20/2024] [Accepted: 04/23/2024] [Indexed: 05/13/2024] Open
Abstract
Background/Objectives: This study aimed to investigate the association between colorectal cancer (CRC) and the risk of breakthrough respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in vaccinated patients with CRC. Methods: This retrospective cohort study used the TriNetX research network to identify vaccinated patients with CRC. Patients were matched using propensity score matching (PSM) and divided into patients with CRC and control (without history of CRC) groups. The primary outcome was the risk of breakthrough SARS-CoV-2 in vaccinated patients. The secondary outcome was a composite of all-cause emergency department (ED) visits, hospitalization, and death during the follow-up period after the diagnosis of COVID-19. Results: A total of 15,416 vaccinated patients with CRC were identified and propensity matched with 15,416 vaccinated patients without CRC. Patients with CRC had a significantly increased risk for breakthrough infections compared to patients without CRC (aOR = 1.78; [95% CI: 1.47-2.15]). Patients with CRC were at increased risk of breakthrough SARS-CoV-2 infections after two doses (aOR = 1.71; [95% CI: 1.42-2.06]) and three doses (aOR = 1.36; [95% CI: 1.09-1.69]) of SARS-CoV-2 vaccine. Vaccinated patients with CRC were at a lower risk of COVID-19 infection than unvaccinated CRC patients (aOR = 0.342; [95% CI: 0.289-0.404]). The overall composite outcome (all-cause ED visits, all-cause hospitalization, and all-cause death) was 51.6% for breakthrough infections, which was greater than 44.3% for propensity score-matched patients without CRC (aOR = 1.79; [95% CI: 1.29-2.47]). Conclusions: This cohort study showed significantly increased risks for breakthrough SARS-CoV-2 infection in vaccinated patients with CRC. Breakthrough SARS-CoV-2 infections in patients with CRC were associated with significant and substantial risks for hospitalizations.
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Affiliation(s)
- Saqr Alsakarneh
- Department of Medicine, University of Missouri, Kansas City, MO 64110, USA; (F.J.); (H.Q.)
| | - Fouad Jaber
- Department of Medicine, University of Missouri, Kansas City, MO 64110, USA; (F.J.); (H.Q.)
| | - Hana Qasim
- Department of Medicine, University of Missouri, Kansas City, MO 64110, USA; (F.J.); (H.Q.)
| | - Abdallah Massad
- Department of Medicine, University of Texas Medical Branch, Galveston, TX 77555, USA;
| | - Hamza Alzghoul
- Department of Medicine, University of Central Florida, Orlando, FL 32816, USA;
| | - Yazan Abboud
- Department of Medicine, Rutgers University School of Medicine, Newark, NJ 07103, USA;
| | - Dushyant Singh Dahiya
- Division of Gastroenterology, Hepatology and Motility, University of Kansas, Lawrence, KS 66045, USA;
| | - Mohammad Bilal
- Division of Gastroenterology, Hepatology, and Nutrition, University of Minnesota Medical Center, Minneapolis, MN 55455, USA;
| | - Aasma Shaukat
- Division of Gastroenterology, Department of Medicine and Population Health, NYU Grossman School of Medicine, New York, NY 10016, USA;
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Schiller LR. Learning from the past: Pandemics, genetics, and health disparities. Proc AMIA Symp 2023; 37:34-35. [PMID: 38174016 PMCID: PMC10761006 DOI: 10.1080/08998280.2023.2279868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Accepted: 10/31/2023] [Indexed: 01/05/2024] Open
Affiliation(s)
- Lawrence R. Schiller
- Department of Medical Education, Texas A&M School of Medicine, Baylor Scott & White Research Institute, Dallas, Texas, USA
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