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Wang L, Wang W, Kaelber DC, Xu R, Berger NA. GLP-1 Receptor Agonists and Colorectal Cancer Risk in Drug-Naive Patients With Type 2 Diabetes, With and Without Overweight/Obesity. JAMA Oncol 2024; 10:256-258. [PMID: 38060218 PMCID: PMC10704339 DOI: 10.1001/jamaoncol.2023.5573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 09/24/2023] [Indexed: 12/08/2023]
Abstract
This cohort study compares glucagon-like peptide 1 receptor agonists (GLP-1RAs) with 7 non–GLP-1RA antidiabetics among drug-naive patients with type 2 diabetes.
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Affiliation(s)
- Lindsey Wang
- Center for Science, Health, and Society, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - William Wang
- Center for Science, Health, and Society, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - David C. Kaelber
- Departments of Internal Medicine, Pediatrics, and Population and Quantitative Health Sciences and the Center for Clinical Informatics Research and Education, The MetroHealth System, Cleveland, Ohio
| | - Rong Xu
- Center for Artificial Intelligence in Drug Discovery, Case Western Reserve University School of Medicine, Cleveland, Ohio
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Nathan A. Berger
- Center for Science, Health, and Society, Case Western Reserve University School of Medicine, Cleveland, Ohio
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio
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Wang L, Davis PB, Berger N, Kaelber DC, Volkow N, Xu R. Association of COVID-19 with respiratory syncytial virus (RSV) infections in children aged 0-5 years in the USA in 2022: a multicentre retrospective cohort study. Fam Med Community Health 2023; 11:e002456. [PMID: 37832975 PMCID: PMC10582888 DOI: 10.1136/fmch-2023-002456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2023] Open
Abstract
OBJECTIVE To investigate whether COVID-19 infection was associated with increased risk for incident respiratory syncytial virus (RSV) infections and associated diseases among young children that might have contributed to the 2022 surge of severe paediatric RSV cases in the USA. DESIGN This is a retrospective population-based cohort study. Five outcomes were examined, including overall RSV infection, positive lab test-confirmed RSV infection, clinically diagnosed RSV diseases, RSV-associated bronchiolitis and unspecified bronchiolitis. Risk ratio (RR) and 95% CI of the outcomes that occurred during the 2022 and 2021 RSV seasons were calculated by comparing propensity-score matched cohorts. SETTING Nationwide multicentre database of electronic health records (EHRs) of 61.4 million patients in the USA including 1.7 million children 0-5 years of age, which was accessed through TriNetX Analytics that provides web-based and secure access to patient EHR data from hospitals, primary care and specialty treatment providers. PARTICIPANTS The study population consisted of 228 940 children of 0-5 years with no prior RSV infection who had medical encounters in October 2022. Findings were replicated in a separate study population of 370 919 children of 0-5 years with no prior RSV infection who had medical encounters in July 2021-August 2021 during a non-overlapping time period. RESULTS For the 2022 study population (average age 2.4 years, 46.8% girls, 61% white, 16% black), the risk for incident RSV infection during October 2022-December 2022 was 6.40% for children with prior COVID-19 infection, higher than 4.30% for the matched children without COVID-19 (RR 1.40, 95% CI 1.27 to 1.55); and among children aged 0-1 year, the overall risk was 7.90% for those with prior COVID-19 infection, higher than 5.64% for matched children without (RR 1.40, 95% CI 1.21 to 1.62). For the 2021 study population (average age 2.2 years, 46% girls, 57% white, 20% black), the risk for incident RSV infection during July 2021-December 2021 was 4.85% for children with prior COVID-19 infection, higher than 3.68% for the matched children without COVID-19 (RR 1.32, 95% CI 1.12 to 1.56); and 7.30% for children aged 0-1 year with prior COVID-19 infection, higher than 4.98% for matched children without (RR 1.47, 95% CI 1.18 to 1.82). CONCLUSION COVID-19 was associated with a significantly increased risk for RSV infections among children aged 0-5 years in 2022. Similar findings were replicated for a study population of children aged 0-5 years in 2021. Our findings suggest that COVID-19 contributed to the 2022 surge of RSV cases in young children through the large buildup of COVID-19-infected children and the potential long-term adverse effects of COVID-19 on the immune and respiratory system.
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Affiliation(s)
- Lindsey Wang
- Center for Science, Health, and Society, Case Western Reserve University, Cleveland, Ohio, USA
| | - Pamela B Davis
- Center for Community Health Integration, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Nathan Berger
- Center for Science, Health, and Society, Case Western Reserve University, Cleveland, Ohio, USA
| | - David C Kaelber
- The Center for Clinical Informatics Research and Education and the Departments ofInternal Medicine, Pediatrics, and Population and Quantitative Health Sciences, MetroHealth Medical Center, Cleveland, Ohio, USA
| | - Nora Volkow
- National Institute on Drug Abuse, National Institute of Health, Bethesda, Maryland, USA
| | - Rong Xu
- Center for AI in Drug Discovery, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
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Wang L, Berger N, Davis PB, Kaelber DC, Volkow N, Xu R. Time trend and seasonality in medically attended respiratory syncytial virus (RSV) infections in US children aged 0-5 years, January 2010-January 2023. Fam Med Community Health 2023; 11:e002453. [PMID: 37844966 PMCID: PMC10582996 DOI: 10.1136/fmch-2023-002453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2023] Open
Abstract
OBJECTIVE The long-term time trend and seasonality variations of first-time medically attended respiratory syncytial virus (RSV) infections among young children are unknown. We aim to examine the time trend of medically attended first-time RSV infections among young children in the USA from January 2010 through January 2023. DESIGN This is a population-based cohort study using electronic health records (EHRs). Monthly incidence rate of medically attended first-time RSV infection (cases per 10 000 000 person-days). A time-series regression model was used to model and predict time trends and seasonality. SETTING Multicenter and nationwide TriNetX Network in the USA. PARTICIPANTS The study population comprised children aged 0-5 years who had medical visits during the period of January 2010 to January 2023. RESULTS The data included 29 013 937 medical visits for children aged 0-5 years (46.5% girls and 53.5% boys) from January 2010 through January 2023. From 2010 through 2019, the monthly incidence rate of first-time medically attended RSV infection in children aged 0-5 years followed a consistent seasonal pattern. Seasonal patterns of medically attended RSV infections were significantly disrupted during the COVID-19 pandemic. In 2020, the seasonal variation disappeared with a peak incidence rate of 20 cases per 1 000 000 person-days, a decrease of 97.4% from the expected peak rate (rate ratio or RR: 0.026, 95% CI 0.017 to 0.040). In 2021, the seasonality returned but started 4 months earlier, lasted for 9 months, and peaked in August at a rate of 753 cases per 1 000 000 person-days, a decrease of 9.6% from the expected peak rate (RR: 0.90, 95% CI 0.82 to 0.99). In 2022, the seasonal pattern is similar to prepandemic years but reached a historically high rate of 2182 cases per 10 000 000 person-days in November, an increase of 143% from the expected peak rate (RR: 2.43, 95% CI 2.25 to 2.63). The time trend and seasonality of the EHR-based medically attended RSV infections are consistent with those of RSV-associated hospitalisations from the Centers for Disease Control and Prevention (CDC) survey-based surveillance system. CONCLUSION The findings show the disrupted seasonality during the COVID-19 pandemic and a historically high surge of paediatric RSV cases that required medical attention in 2022. Our study demonstrates the potential of EHRs as a cost-effective alternative for real-time pathogen and syndromic surveillance of unexpected disease patterns including RSV infection.
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Affiliation(s)
- Lindsey Wang
- Center for Science, Health, and Society, Case Western Reserve University, Cleveland, Ohio, USA
| | - Nathan Berger
- Center for Science, Health, and Society, Case Western Reserve University, Cleveland, Ohio, USA
| | - Pamela B Davis
- Center for Community Health Integration, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - David C Kaelber
- The Center for Clinical Informatics Research and Education and the Departments ofInternal Medicine, Pediatrics, and Population and Quantitative Health Sciences, MetroHealth Medical Center, Cleveland, Ohio, USA
| | - Nora Volkow
- National Institute on Drug Abuse, National Institute of Health, Bethesda, Maryland, USA
| | - Rong Xu
- Center for Artificial Intelligence in Drug Discovery, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
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Li JX, Liao PL, Wei JCC, Hsu SB, Yeh CJ. A chronological review of COVID-19 case fatality rate and its secular trend and investigation of all-cause mortality and hospitalization during the Delta and Omicron waves in the United States: a retrospective cohort study. Front Public Health 2023; 11:1143650. [PMID: 37799149 PMCID: PMC10548482 DOI: 10.3389/fpubh.2023.1143650] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 08/14/2023] [Indexed: 10/07/2023] Open
Abstract
Introduction Coronavirus disease 2019 (COVID-19) has caused more than 690 million deaths worldwide. Different results concerning the death rates of the Delta and Omicron variants have been recorded. We aimed to assess the secular trend of case fatality rate (CFR), identify risk factors associated with mortality following COVID-19 diagnosis, and investigate the risks of mortality and hospitalization during Delta and Omicron waves in the United States. Methods This study assessed 2,857,925 individuals diagnosed with COVID-19 in the United States from January 2020, to June 2022. The inclusion criterion was the presence of COVID-19 diagnostic codes in electronic medical record or a positive laboratory test of the SARS-CoV-2. Statistical analysis was bifurcated into two components, longitudinal analysis and comparative analysis. To assess the discrepancies in hospitalization and mortality rates for COVID-19, we identified the prevailing periods for the Delta and Omicron variants. Results Longitudinal analysis demonstrated four sharp surges in the number of deaths and CFR. The CFR was persistently higher in males and older age. The CFR of Black and White remained higher than Asians since January 2022. In comparative analysis, the adjusted hazard ratios for all-cause mortality and hospitalization were higher in Delta wave compared to the Omicron wave. Risk of all-cause mortality was found to be greater 14-30 days after a COVID-19 diagnosis, while the likelihood of hospitalization was higher in the first 14 days following a COVID-19 diagnosis in Delta wave compared with Omicron wave. Kaplan-Meier analysis revealed the cumulative probability of mortality was approximately 2-fold on day 30 in Delta than in Omicron cases (log-rank p < 0.001). The mortality risk ratio between the Delta and Omicron variants was 1.671 (95% Cl 1.615-1.729, log-rank p < 0.001). Delta also had a significantly increased mortality risk over Omicron in all age groups. The CFR of people aged above 80 years was extremely high as 17.33%. Conclusion Male sex and age seemed to be strong and independent risk factors of mortality in COVID-19. The Delta variant appears to cause more hospitalization and death than the Omicron variant.
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Affiliation(s)
- Jing-Xing Li
- Department of Internal Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, China Medical University, Taichung, Taiwan
- Graduate Institute of Clinical Laboratory Sciences and Medical Biotechnology, National Taiwan University, Taipei, Taiwan
| | - Pei-Lun Liao
- Department of Medical Research, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - James Cheng-Chung Wei
- Department of Nursing, Chung Shan Medical University, Taichung, Taiwan
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Department of Allergy, Immunology & Rheumatology, Chung Shan Medical University Hospital, Taichung, Taiwan
- Graduate Institute of Integrated Medicine, China Medical University, Taichung, Taiwan
| | - Shu-Bai Hsu
- College of Medicine, China Medical University, Taichung, Taiwan
- Department of Nursing, China Medical University Hospital, Taichung, Taiwan
| | - Chih-Jung Yeh
- Department of Public Health, Chung Shan Medical University, Taichung, Taiwan
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Gao Z, Winhusen TJ, Gorenflo M, Ghitza UE, Davis PB, Kaelber DC, Xu R. Repurposing ketamine to treat cocaine use disorder: integration of artificial intelligence-based prediction, expert evaluation, clinical corroboration and mechanism of action analyses. Addiction 2023; 118:1307-1319. [PMID: 36792381 PMCID: PMC10631254 DOI: 10.1111/add.16168] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 01/25/2023] [Indexed: 02/17/2023]
Abstract
BACKGROUND AND AIMS Cocaine use disorder (CUD) is a significant public health issue for which there is no Food and Drug Administration (FDA) approved medication. Drug repurposing looks for new cost-effective uses of approved drugs. This study presents an integrated strategy to identify repurposed FDA-approved drugs for CUD treatment. DESIGN Our drug repurposing strategy combines artificial intelligence (AI)-based drug prediction, expert panel review, clinical corroboration and mechanisms of action analysis being implemented in the National Drug Abuse Treatment Clinical Trials Network (CTN). Based on AI-based prediction and expert knowledge, ketamine was ranked as the top candidate for clinical corroboration via electronic health record (EHR) evaluation of CUD patient cohorts prescribed ketamine for anesthesia or depression compared with matched controls who received non-ketamine anesthesia or antidepressants/midazolam. Genetic and pathway enrichment analyses were performed to understand ketamine's potential mechanisms of action in the context of CUD. SETTING The study utilized TriNetX to access EHRs from more than 90 million patients world-wide. Genetic- and functional-level analyses used DisGeNet, Search Tool for Interactions of Chemicals and Kyoto Encyclopedia of Genes and Genomes databases. PARTICIPANTS A total of 7742 CUD patients who received anesthesia (3871 ketamine-exposed and 3871 anesthetic-controlled) and 7910 CUD patients with depression (3955 ketamine-exposed and 3955 antidepressant-controlled) were identified after propensity score-matching. MEASUREMENTS EHR analysis outcome was a CUD remission diagnosis within 1 year of drug prescription. FINDINGS Patients with CUD prescribed ketamine for anesthesia displayed a significantly higher rate of CUD remission compared with matched individuals prescribed other anesthetics [hazard ratio (HR) = 1.98, 95% confidence interval (CI) = 1.42-2.78]. Similarly, CUD patients prescribed ketamine for depression evidenced a significantly higher CUD remission ratio compared with matched patients prescribed antidepressants or midazolam (HR = 4.39, 95% CI = 2.89-6.68). The mechanism of action analysis revealed that ketamine directly targets multiple CUD-associated genes (BDNF, CNR1, DRD2, GABRA2, GABRB3, GAD1, OPRK1, OPRM1, SLC6A3, SLC6A4) and pathways implicated in neuroactive ligand-receptor interaction, cAMP signaling and cocaine abuse/dependence. CONCLUSIONS Ketamine appears to be a potential repurposed drug for treatment of cocaine use disorder.
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Affiliation(s)
- Zhenxiang Gao
- Center for Artificial Intelligence in Drug Discovery, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - T. John Winhusen
- Center for Addiction Research, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Maria Gorenflo
- Center for Artificial Intelligence in Drug Discovery, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
- Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Udi E. Ghitza
- Center for the Clinical Trials Network (CCTN), National Institute on Drug Abuse (NIDA), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Pamela B. Davis
- Center for Community Health Integration, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - David C. Kaelber
- Center for Clinical Informatics Research and Education, The Metro Health System, Cleveland, OH, USA
| | - Rong Xu
- Center for Artificial Intelligence in Drug Discovery, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
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Wang L, Davis PB, Berger NA, Kaelber DC, Volkow ND, Xu R. Disrupted seasonality and association of COVID-19 with medically attended respiratory syncytial virus infections among young children in the US: January 2010-January 2023. medRxiv 2023:2023.05.12.23289898. [PMID: 37292931 PMCID: PMC10246033 DOI: 10.1101/2023.05.12.23289898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Respiratory syncytial virus (RSV) infections and hospitalizations surged sharply in 2022 among young children. To assess whether COVID-19 contributed to this surge, we leveraged a real-time nation-wide US database of electronic health records (EHRs) using time series analysis from January 1, 2010 through January 31, 2023, and propensity-score matched cohort comparisons for children aged 0-5 years with or without prior COVID-19 infection. Seasonal patterns of medically attended RSV infections were significantly disrupted during the COVID-19 pandemic. The monthly incidence rate for first-time medically attended cases, most of which were severe RSV-associated diseases, reached a historical high rate of 2,182 cases per 1,0000,000 person-days in November 2022, corresponding to a related increase of 143% compared to expected peak rate (rate ratio: 2.43, 95% CI: 2.25-2.63). Among 228,940 children aged 0-5 years, the risk for first-time medically attended RSV during 10/2022-12/2022 was 6.40% for children with prior COVID-19 infection, higher than 4.30% for the matched children without COVID-19 (risk ratio or RR: 1.40, 95% CI: 1.27-1.55); and among 99,105 children aged 0-1 year, the overall risk was 7.90% for those with prior COVID-19 infection, higher than 5.64% for matched children without (RR: 1.40, 95% CI: 1.21-1.62). These data provide evidence that COVID-19 contributed to the 2022 surge of severe pediatric RSV cases.
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Affiliation(s)
- Lindsey Wang
- Center for Science, Health, and Society, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Pamela B. Davis
- The Center for Community Health Integration, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Nathan A. Berger
- Center for Science, Health, and Society, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - David C. Kaelber
- Departments of Internal Medicine, Pediatrics, and Population and Quantitative Health Sciences and the Center for Clinical Informatics Research and Education, The MetroHealth System, Cleveland, OH, USA
| | - Nora D. Volkow
- National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, USA
| | - Rong Xu
- Center for Artificial Intelligence in Drug Discovery, Case Western Reserve University School of Medicine, Cleveland, OH, USA
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Li JX, Wang YH, Bair H, Hsu SB, Chen C, Wei JCC, Lin CJ. Risk assessment of retinal vascular occlusion after COVID-19 vaccination. NPJ Vaccines 2023; 8:64. [PMID: 37130882 PMCID: PMC10153772 DOI: 10.1038/s41541-023-00661-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 04/11/2023] [Indexed: 05/04/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19) vaccines are associated with several ocular manifestations. Emerging evidence has been reported; however, the causality between the two is debatable. We aimed to investigate the risk of retinal vascular occlusion after COVID-19 vaccination. This retrospective cohort study used the TriNetX global network and included individuals vaccinated with COVID-19 vaccines between January 2020 and December 2022. We excluded individuals with a history of retinal vascular occlusion or those who used any systemic medication that could potentially affect blood coagulation prior to vaccination. To compare the risk of retinal vascular occlusion, we employed multivariable-adjusted Cox proportional hazards models after performing a 1:1 propensity score matching between the vaccinated and unvaccinated cohorts. Individuals with COVID-19 vaccination had a higher risk of all forms of retinal vascular occlusion in 2 years after vaccination, with an overall hazard ratio of 2.19 (95% confidence interval 2.00-2.39). The cumulative incidence of retinal vascular occlusion was significantly higher in the vaccinated cohort compared to the unvaccinated cohort, 2 years and 12 weeks after vaccination. The risk of retinal vascular occlusion significantly increased during the first 2 weeks after vaccination and persisted for 12 weeks. Additionally, individuals with first and second dose of BNT162b2 and mRNA-1273 had significantly increased risk of retinal vascular occlusion 2 years following vaccination, while no disparity was detected between brand and dose of vaccines. This large multicenter study strengthens the findings of previous cases. Retinal vascular occlusion may not be a coincidental finding after COVID-19 vaccination.
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Affiliation(s)
- Jing-Xing Li
- Department of General Medicine, China Medical University Hospital, Taichung, Taiwan
- School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
- Graduate Institute of Clinical Laboratory Sciences and Medical Biotechnology, National Taiwan University, Taipei, Taiwan
| | - Yu-Hsun Wang
- Department of Medical Research, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Henry Bair
- Department of Ophthalmology, China Medical University Hospital, Taichung, Taiwan
- Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Shu-Bai Hsu
- College of Medicine, China Medical University, Taichung, Taiwan
- Department of Nursing, China Medical University Hospital, Taichung, Taiwan
| | - Connie Chen
- Department of Optometry, Chung Shan Medical University, Taichung, Taiwan
- Institute of Optometry, Chung Shan Medical University, Taichung, Taiwan
| | - James Cheng-Chung Wei
- Department of Medical Research, Chung Shan Medical University Hospital, Taichung, Taiwan.
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan.
- Department of Allergy, Immunology & Rheumatology, Chung Shan Medical University Hospital, Taichung, Taiwan.
- Institute of Integrated Medicine, China Medical University, Taichung, Taiwan.
| | - Chun-Ju Lin
- School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.
- Department of Ophthalmology, China Medical University Hospital, Taichung, Taiwan.
- Department of Optometry, Asia University, Taichung, Taiwan.
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Wang L, Volkow ND, Berger NA, Davis PB, Kaelber DC, Xu R. Association of COVID-19 with endocarditis in patients with cocaine or opioid use disorders in the US. Mol Psychiatry 2023; 28:543-52. [PMID: 36510003 DOI: 10.1038/s41380-022-01903-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 11/05/2022] [Accepted: 11/21/2022] [Indexed: 12/15/2022]
Abstract
The incidence of endocarditis in the US is increasing, driven in part by the rise in intravenous drug use, mostly opioids and stimulant drugs (cocaine and methamphetamine). Recent reports have documented that individuals with COVID-19 are at increased risk for cardiovascular diseases. However, it is unknown whether COVID-19 is associated with increased risk for endocarditis in patients with opioid or stimulant use disorders. This is a retrospective cohort study based on a nationwide database of electronic health records (EHRs) of 109 million patients in the US, including 736,502 patients with a diagnosis of opioid use disorder (OUD) and 379,623 patients with a diagnosis of cocaine use disorder (CocaineUD). Since Metamphetamine use disorder is not coded we could not analyze it. We show that the incidence rate of endocarditis among patients with OUD or CocaineUD significantly increased from 2011 to 2022 with acceleration during 2021-2022. COVID-19 was associated with increased risk of new diagnosis of endocarditis among patients with OUD (HR: 2.23, 95% CI: 1.92-2.60) and with CocaineUD (HR: 2.24, 95% CI: 1.79-2.80). Clinically diagnosed COVID-19 was associated with higher risk of endocarditis than lab-test confirmed COVID-19 without clinical diagnosis. Hospitalization within 2 weeks following COVID-19 infection was associated with increased risk of new diagnosis of endocarditis. The risk for endocarditis did not differ between patients with and without EHR-recorded vaccination. There were significant racial and ethnic differences in the risk for COVID-19 associated endocarditis, lower in blacks than in whites and lower in Hispanics than in non-Hispanics. Among patients with OUD or CocaineUD, the 180-day hospitalization risk following endocarditis was 67.5% in patients with COVID-19, compared to 58.7% in matched patients without COVID-19 (HR: 1.21, 95% CI: 1.07-1.35). The 180-day mortality risk following the new diagnosis of endocarditis was 9.2% in patients with COVID-19, compared to 8.0% in matched patients without COVID-19 (HR: 1.16, 95% CI: 0.83-1.61). This study shows that COVID-19 is associated with significantly increased risk for endocarditis in patients with opioid or cocaine use disorders. These results highlight the need for endocarditis screening and for linkage to infectious disease and addiction treatment in patients with opioid or cocaine use disorders who contracted COVID-19. Future studies are needed to understand how COVID-19 damages the heart and the vascular endothelium among people who misuse opioids or cocaine (presumably also methamphetamines).
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Wang L, Davis PB, Berger NA, Kaelber DC, Volkow ND, Xu R. Disruption in seasonality, patient characteristics and disparities of respiratory syncytial virus infection among young children in the US during and before the COVID-19 pandemic: 2010-2022. medRxiv 2022:2022.11.29.22282887. [PMID: 36482981 PMCID: PMC9727767 DOI: 10.1101/2022.11.29.22282887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Respiratory syncytial virus (RSV) infections and hospitalization have surged sharply among young children. Here we test how the seasonal patterns of RSV infections in 2022 compared with those from other COVID-19 pandemic and pre-pandemic years. For this purpose, we analyzed a nation-wide and real-time database of electronic health records of 56 million patients across 50 states in the US. The monthly incidence rate of first-time RSV infection in young children (<5 years of age) and very young children (<1 year of age) followed a seasonal pattern from 2010 to 2019 with increases during the autumn, peaking in winter, subsiding in spring and summer. This seasonal pattern was significantly disrupted during the COVID-19 pandemic. In 2020, the incidence rate of RSV infections was remarkably low throughout the year. In 2021, the RSV season expanded to 9 months starting in the early summer and peaking in October. In 2022, RSV infections started to rise in May and were significantly higher than in previous years reaching a historically highest incidence rate in November 2022. There were significant racial and ethnic disparities in the peak RSV infection rate during 2010-2021 and the disparities further exacerbated in 2022 with peak incidence rate in black and Hispanic children 2-3 times that in white children. Among RSV-infected children in 2022, 19.2% had prior documented COVID-19 infection, significantly higher than the 9.7% among uninfected children, suggesting that prior COVID-19 could be a risk factor for RSV infection or that there are common risk factors for both viral infections. Our study calls for continuous monitoring of RSV infection in young children alongside its clinical outcomes and for future work to assess potential COVID-19 related risk factors.
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Affiliation(s)
- Lindsey Wang
- Center for Science, Health, and Society, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Pamela B. Davis
- Center for Community Health Integration, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Nathan A. Berger
- Center for Science, Health, and Society, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - David C. Kaelber
- The Center for Clinical Informatics Research and Education, The MetroHealth System, Cleveland, OH, USA
| | - Nora D. Volkow
- National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, USA
| | - Rong Xu
- Center for Artificial Intelligence in Drug Discovery, Case Western Reserve University School of Medicine, Cleveland, OH, USA
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