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1. A MUC5B Gene Polymorphism, rs35705950-T, Confers Protective Effects Against COVID-19 Hospitalization but Not Severe Disease or Mortality

Author

Verma, Anurag, Minnier, Jessica, Wan, Emily S, Huffman, Jennifer E, Gao, Lina, Joseph, Jacob, Ho, Yuk-Lam, Wu, Wen-Chih, Cho, Kelly, Gorman, Bryan R, Rajeevan, Nallakkandi, Pyarajan, Saiju, Garcon, Helene, Meigs, James B, Sun, Yan V, Reaven, Peter D, McGeary, John E, Suzuki, Ayako, Gelernter, Joel, Lynch, Julie A, Petersen, Jeffrey M, Zekavat, Seyedeh Maryam, Natarajan, Pradeep, Dalal, Sharvari, Jhala, Darshana N, Arjomandi, Mehrdad, Gatsby, Elise, Lynch, Kristine E, Bonomo, Robert A, Freiberg, Matthew, Pathak, Gita A, Zhou, Jin J, Donskey, Curtis J, Madduri, Ravi K, Wells, Quinn S, Huang, Rose DL, Polimanti, Renato, Chang, Kyong-Mi, Liao, Katherine P, Tsao, Philip S, Wilson, Peter WF, Hung, Adriana M, O’Donnell, Christopher J, Gaziano, John M, Hauger, Richard L, Iyengar, Sudha K, Luoh, Shiuh-Wen, and Initiative, the Million Veteran Program COVID-19 Science

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Sciences, Women's Health, Emerging Infectious Diseases, Autoimmune Disease, Genetics, Rare Diseases, Coronaviruses, Lung, Infectious Diseases, 2.1 Biological and endogenous factors, Respiratory, Good Health and Well Being, Humans, COVID-19, Mucin-5B, Polymorphism, Genetic, Idiopathic Pulmonary Fibrosis, Genotype, Hospitalization, Genetic Predisposition to Disease, coronavirus disease 2019, severe acute respiratory syndrome coronavirus 2, idiopathic pulmonary fibrosis, electronic health records, genetic association, Million Veteran Program COVID-19 Science Initiative, Medical and Health Sciences, Respiratory System, Cardiovascular medicine and haematology, Clinical sciences
Abstract

Rationale: A common MUC5B gene polymorphism, rs35705950-T, is associated with idiopathic pulmonary fibrosis (IPF), but its role in severe acute respiratory syndrome coronavirus 2 infection and disease severity is unclear. Objectives: To assess whether rs35705950-T confers differential risk for clinical outcomes associated with coronavirus disease (COVID-19) infection among participants in the Million Veteran Program (MVP). Methods: The MUC5B rs35705950-T allele was directly genotyped among MVP participants; clinical events and comorbidities were extracted from the electronic health records. Associations between the incidence or severity of COVID-19 and rs35705950-T were analyzed within each ancestry group in the MVP followed by transancestry meta-analysis. Replication and joint meta-analysis were conducted using summary statistics from the COVID-19 Host Genetics Initiative (HGI). Sensitivity analyses with adjustment for additional covariates (body mass index, Charlson comorbidity index, smoking, asbestosis, rheumatoid arthritis with interstitial lung disease, and IPF) and associations with post-COVID-19 pneumonia were performed in MVP subjects. Measurements and Main Results: The rs35705950-T allele was associated with fewer COVID-19 hospitalizations in transancestry meta-analyses within the MVP (Ncases = 4,325; Ncontrols = 507,640; OR = 0.89 [0.82-0.97]; P = 6.86 × 10-3) and joint meta-analyses with the HGI (Ncases = 13,320; Ncontrols = 1,508,841; OR, 0.90 [0.86-0.95]; P = 8.99 × 10-5). The rs35705950-T allele was not associated with reduced COVID-19 positivity in transancestry meta-analysis within the MVP (Ncases = 19,168/Ncontrols = 492,854; OR, 0.98 [0.95-1.01]; P = 0.06) but was nominally significant (P

Published
2022

2. Sleep disturbance and suicide risk among sexual and gender minority people

Author

Dolsen, Emily A, Byers, Amy L, Flentje, Annesa, Goulet, Joseph L, Jasuja, Guneet K, Lynch, Kristine E, Maguen, Shira, and Neylan, Thomas C

Subjects
Clinical and Health Psychology, Psychology, Behavioral and Social Science, Mental Health, Clinical Research, Suicide, Sleep Research, 2.3 Psychological, social and economic factors, Aetiology, Sexual minority people, Gender minority people, LGBTQ, Sleep disturbance, Minority stress, Neurosciences, Cognitive and computational psychology
Abstract

Sleep disturbance has emerged as an independent, mechanistic, and modifiable risk factor for suicide. Sexual and gender minority (SGM) people disproportionately experience sleep disturbance and are at higher risk of death by suicide relative to cisgender and/or heterosexual individuals. The present narrative review evaluates nascent research related to sleep disturbance and suicide-related thoughts and behaviors (STBs) among SGM populations, and discusses how experiences of minority stress may explain heightened risk among SGM people. Although there is a growing understanding of the link between sleep disturbance and STBs, most research has not been conducted in SGM populations or has not examined suicide as an outcome. Research is needed to examine whether and how aspects of sleep disturbances relate to STBs among SGM people in order to better tailor sleep treatments for SGM populations.

Published
2022

3. Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS

Author

Kostka, Kristin, Duarte-Salles, Talita, Prats-Uribe, Albert, Sena, Anthony G, Pistillo, Andrea, Khalid, Sara, Lai, Lana YH, Golozar, Asieh, Alshammari, Thamir M, Dawoud, Dalia M, Nyberg, Fredrik, Wilcox, Adam B, Andryc, Alan, Williams, Andrew, Ostropolets, Anna, Areia, Carlos, Jung, Chi Young, Harle, Christopher A, Reich, Christian G, Blacketer, Clair, Morales, Daniel R, Dorr, David A, Burn, Edward, Roel, Elena, Tan, Eng Hooi, Minty, Evan, DeFalco, Frank, de Maeztu, Gabriel, Lipori, Gigi, Alghoul, Hiba, Zhu, Hong, Thomas, Jason A, Bian, Jiang, Park, Jimyung, Roldán, Jordi Martínez, Posada, Jose D, Banda, Juan M, Horcajada, Juan P, Kohler, Julianna, Shah, Karishma, Natarajan, Karthik, Lynch, Kristine E, Liu, Li, Schilling, Lisa M, Recalde, Martina, Spotnitz, Matthew, Gong, Mengchun, Matheny, Michael E, Valveny, Neus, Weiskopf, Nicole G, Shah, Nigam, Alser, Osaid, Casajust, Paula, Park, Rae Woong, Schuff, Robert, Seager, Sarah, DuVall, Scott L, You, Seng Chan, Song, Seokyoung, Fernández-Bertolín, Sergio, Fortin, Stephen, Magoc, Tanja, Falconer, Thomas, Subbian, Vignesh, Huser, Vojtech, Ahmed, Waheed-Ul-Rahman, Carter, William, Guan, Yin, Galvan, Yankuic, He, Xing, Rijnbeek, Peter R, Hripcsak, George, Ryan, Patrick B, Suchard, Marc A, and Prieto-Alhambra, Daniel

Subjects
Clinical Research, Infectious Diseases, Prevention, 2.4 Surveillance and distribution, Aetiology, Good Health and Well Being, OHDSI, OMOP CDM, descriptive epidemiology, real world data, real world evidence, open science, Clinical Sciences, Public Health and Health Services
Abstract

PurposeRoutinely collected real world data (RWD) have great utility in aiding the novel coronavirus disease (COVID-19) pandemic response. Here we present the international Observational Health Data Sciences and Informatics (OHDSI) Characterizing Health Associated Risks and Your Baseline Disease In SARS-COV-2 (CHARYBDIS) framework for standardisation and analysis of COVID-19 RWD.Patients and methodsWe conducted a descriptive retrospective database study using a federated network of data partners in the United States, Europe (the Netherlands, Spain, the UK, Germany, France and Italy) and Asia (South Korea and China). The study protocol and analytical package were released on 11th June 2020 and are iteratively updated via GitHub. We identified three non-mutually exclusive cohorts of 4,537,153 individuals with a clinical COVID-19 diagnosis or positive test, 886,193 hospitalized with COVID-19, and 113,627 hospitalized with COVID-19 requiring intensive services.ResultsWe aggregated over 22,000 unique characteristics describing patients with COVID-19. All comorbidities, symptoms, medications, and outcomes are described by cohort in aggregate counts and are readily available online. Globally, we observed similarities in the USA and Europe: more women diagnosed than men but more men hospitalized than women, most diagnosed cases between 25 and 60 years of age versus most hospitalized cases between 60 and 80 years of age. South Korea differed with more women than men hospitalized. Common comorbidities included type 2 diabetes, hypertension, chronic kidney disease and heart disease. Common presenting symptoms were dyspnea, cough and fever. Symptom data availability was more common in hospitalized cohorts than diagnosed.ConclusionWe constructed a global, multi-centre view to describe trends in COVID-19 progression, management and evolution over time. By characterising baseline variability in patients and geography, our work provides critical context that may otherwise be misconstrued as data quality issues. This is important as we perform studies on adverse events of special interest in COVID-19 vaccine surveillance.

Published
2022

4. International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality

Author

Weber, Griffin M, Hong, Chuan, Xia, Zongqi, Palmer, Nathan P, Avillach, Paul, L’Yi, Sehi, Keller, Mark S, Murphy, Shawn N, Gutiérrez-Sacristán, Alba, Bonzel, Clara-Lea, Serret-Larmande, Arnaud, Neuraz, Antoine, Omenn, Gilbert S, Visweswaran, Shyam, Klann, Jeffrey G, South, Andrew M, Loh, Ne Hooi Will, Cannataro, Mario, Beaulieu-Jones, Brett K, Bellazzi, Riccardo, Agapito, Giuseppe, Alessiani, Mario, Aronow, Bruce J, Bell, Douglas S, Benoit, Vincent, Bourgeois, Florence T, Chiovato, Luca, Cho, Kelly, Dagliati, Arianna, DuVall, Scott L, Barrio, Noelia García, Hanauer, David A, Ho, Yuk-Lam, Holmes, John H, Issitt, Richard W, Liu, Molei, Luo, Yuan, Lynch, Kristine E, Maidlow, Sarah E, Malovini, Alberto, Mandl, Kenneth D, Mao, Chengsheng, Matheny, Michael E, Moore, Jason H, Morris, Jeffrey S, Morris, Michele, Mowery, Danielle L, Ngiam, Kee Yuan, Patel, Lav P, Pedrera-Jimenez, Miguel, Ramoni, Rachel B, Schriver, Emily R, Schubert, Petra, Balazote, Pablo Serrano, Spiridou, Anastasia, Tan, Amelia LM, Tan, Byorn WL, Tibollo, Valentina, Torti, Carlo, Trecarichi, Enrico M, Wang, Xuan, Kohane, Isaac S, Cai, Tianxi, and Brat, Gabriel A

Subjects
Health Services and Systems, Health Sciences, Infectious Diseases, Coronaviruses, Clinical Research, Emerging Infectious Diseases, 4.2 Evaluation of markers and technologies, Good Health and Well Being, Consortium for Clinical Characterization of COVID-19 by EHR, Health services and systems
Abstract

Given the growing number of prediction algorithms developed to predict COVID-19 mortality, we evaluated the transportability of a mortality prediction algorithm using a multi-national network of healthcare systems. We predicted COVID-19 mortality using baseline commonly measured laboratory values and standard demographic and clinical covariates across healthcare systems, countries, and continents. Specifically, we trained a Cox regression model with nine measured laboratory test values, standard demographics at admission, and comorbidity burden pre-admission. These models were compared at site, country, and continent level. Of the 39,969 hospitalized patients with COVID-19 (68.6% male), 5717 (14.3%) died. In the Cox model, age, albumin, AST, creatine, CRP, and white blood cell count are most predictive of mortality. The baseline covariates are more predictive of mortality during the early days of COVID-19 hospitalization. Models trained at healthcare systems with larger cohort size largely retain good transportability performance when porting to different sites. The combination of routine laboratory test values at admission along with basic demographic features can predict mortality in patients hospitalized with COVID-19. Importantly, this potentially deployable model differs from prior work by demonstrating not only consistent performance but also reliable transportability across healthcare systems in the US and Europe, highlighting the generalizability of this model and the overall approach.

Published
2022

5. Characteristics and outcomes of patients with COVID-19 with and without prevalent hypertension: a multinational cohort study

Author

Reyes, Carlen, Pistillo, Andrea, Fernández-Bertolín, Sergio, Recalde, Martina, Roel, Elena, Puente, Diana, Sena, Anthony G, Blacketer, Clair, Lai, Lana, Alshammari, Thamir M, Ahmed, Waheed-UI-Rahman, Alser, Osaid, Alghoul, Heba, Areia, Carlos, Dawoud, Dalia, Prats-Uribe, Albert, Valveny, Neus, de Maeztu, Gabriel, Redó, Luisa Sorlí, Roldan, Jordi Martinez, Montesinos, Inmaculada Lopez, Schilling, Lisa M, Golozar, Asieh, Reich, Christian, Posada, Jose D, Shah, Nigam, You, Seng Chan, Lynch, Kristine E, DuVall, Scott L, Matheny, Michael E, Nyberg, Fredrik, Ostropolets, Anna, Hripcsak, George, Rijnbeek, Peter R, Suchard, Marc A, Ryan, Patrick, Kostka, Kristin, and Duarte-Salles, Talita

Subjects
Clinical Research, Cardiovascular, Aetiology, 2.4 Surveillance and distribution, Good Health and Well Being, COVID-19, COVID-19 Testing, Cohort Studies, Comorbidity, Female, Hospitalization, Humans, Hypertension, Middle Aged, Retrospective Studies, SARS-CoV-2, epidemiology, hypertension, Clinical Sciences, Public Health and Health Services, Other Medical and Health Sciences
Abstract

ObjectiveTo characterise patients with and without prevalent hypertension and COVID-19 and to assess adverse outcomes in both inpatients and outpatients.Design and settingThis is a retrospective cohort study using 15 healthcare databases (primary and secondary electronic healthcare records, insurance and national claims data) from the USA, Europe and South Korea, standardised to the Observational Medical Outcomes Partnership common data model. Data were gathered from 1 March to 31 October 2020.ParticipantsTwo non-mutually exclusive cohorts were defined: (1) individuals diagnosed with COVID-19 (diagnosed cohort) and (2) individuals hospitalised with COVID-19 (hospitalised cohort), and stratified by hypertension status. Follow-up was from COVID-19 diagnosis/hospitalisation to death, end of the study period or 30 days.OutcomesDemographics, comorbidities and 30-day outcomes (hospitalisation and death for the 'diagnosed' cohort and adverse events and death for the 'hospitalised' cohort) were reported.ResultsWe identified 2 851 035 diagnosed and 563 708 hospitalised patients with COVID-19. Hypertension was more prevalent in the latter (ranging across databases from 17.4% (95% CI 17.2 to 17.6) to 61.4% (95% CI 61.0 to 61.8) and from 25.6% (95% CI 24.6 to 26.6) to 85.9% (95% CI 85.2 to 86.6)). Patients in both cohorts with hypertension were predominantly >50 years old and female. Patients with hypertension were frequently diagnosed with obesity, heart disease, dyslipidaemia and diabetes. Compared with patients without hypertension, patients with hypertension in the COVID-19 diagnosed cohort had more hospitalisations (ranging from 1.3% (95% CI 0.4 to 2.2) to 41.1% (95% CI 39.5 to 42.7) vs from 1.4% (95% CI 0.9 to 1.9) to 15.9% (95% CI 14.9 to 16.9)) and increased mortality (ranging from 0.3% (95% CI 0.1 to 0.5) to 18.5% (95% CI 15.7 to 21.3) vs from 0.2% (95% CI 0.2 to 0.2) to 11.8% (95% CI 10.8 to 12.8)). Patients in the COVID-19 hospitalised cohort with hypertension were more likely to have acute respiratory distress syndrome (ranging from 0.1% (95% CI 0.0 to 0.2) to 65.6% (95% CI 62.5 to 68.7) vs from 0.1% (95% CI 0.0 to 0.2) to 54.7% (95% CI 50.5 to 58.9)), arrhythmia (ranging from 0.5% (95% CI 0.3 to 0.7) to 45.8% (95% CI 42.6 to 49.0) vs from 0.4% (95% CI 0.3 to 0.5) to 36.8% (95% CI 32.7 to 40.9)) and increased mortality (ranging from 1.8% (95% CI 0.4 to 3.2) to 25.1% (95% CI 23.0 to 27.2) vs from 0.7% (95% CI 0.5 to 0.9) to 10.9% (95% CI 10.4 to 11.4)) than patients without hypertension.ConclusionsCOVID-19 patients with hypertension were more likely to suffer severe outcomes, hospitalisations and deaths compared with those without hypertension.

Published
2021

6. COVID-19 in patients with autoimmune diseases: characteristics and outcomes in a multinational network of cohorts across three countries

Author

Tan, Eng Hooi, Sena, Anthony G, Prats-Uribe, Albert, You, Seng Chan, Ahmed, Waheed-Ul-Rahman, Kostka, Kristin, Reich, Christian, Duvall, Scott L, Lynch, Kristine E, Matheny, Michael E, Duarte-Salles, Talita, Bertolin, Sergio Fernandez, Hripcsak, George, Natarajan, Karthik, Falconer, Thomas, Spotnitz, Matthew, Ostropolets, Anna, Blacketer, Clair, Alshammari, Thamir M, Alghoul, Heba, Alser, Osaid, Lane, Jennifer CE, Dawoud, Dalia M, Shah, Karishma, Yang, Yue, Zhang, Lin, Areia, Carlos, Golozar, Asieh, Recalde, Martina, Casajust, Paula, Jonnagaddala, Jitendra, Subbian, Vignesh, Vizcaya, David, Lai, Lana YH, Nyberg, Fredrik, Morales, Daniel R, Posada, Jose D, Shah, Nigam H, Gong, Mengchun, Vivekanantham, Arani, Abend, Aaron, Minty, Evan P, Suchard, Marc, Rijnbeek, Peter, Ryan, Patrick B, and Prieto-Alhambra, Daniel

Subjects
Infectious Diseases, Lung, Emerging Infectious Diseases, Pneumonia & Influenza, Clinical Research, Influenza, Autoimmune Disease, Cardiovascular, Good Health and Well Being, Adult, Aged, Aged, 80 and over, Autoimmune Diseases, COVID-19, Cohort Studies, Female, Hospitalization, Humans, Influenza, Human, Male, Middle Aged, Prevalence, Prognosis, Republic of Korea, SARS-CoV-2, Spain, United States, Young Adult, autoimmune condition, mortality, hospitalization, open science, Observational Health Data Sciences and Informatics, Observational Medical Outcomes Partnership, Clinical Sciences, Immunology, Public Health and Health Services, Arthritis & Rheumatology
Abstract

ObjectivePatients with autoimmune diseases were advised to shield to avoid coronavirus disease 2019 (COVID-19), but information on their prognosis is lacking. We characterized 30-day outcomes and mortality after hospitalization with COVID-19 among patients with prevalent autoimmune diseases, and compared outcomes after hospital admissions among similar patients with seasonal influenza.MethodsA multinational network cohort study was conducted using electronic health records data from Columbia University Irving Medical Center [USA, Optum (USA), Department of Veterans Affairs (USA), Information System for Research in Primary Care-Hospitalization Linked Data (Spain) and claims data from IQVIA Open Claims (USA) and Health Insurance and Review Assessment (South Korea). All patients with prevalent autoimmune diseases, diagnosed and/or hospitalized between January and June 2020 with COVID-19, and similar patients hospitalized with influenza in 2017-18 were included. Outcomes were death and complications within 30 days of hospitalization.ResultsWe studied 133 589 patients diagnosed and 48 418 hospitalized with COVID-19 with prevalent autoimmune diseases. Most patients were female, aged ≥50 years with previous comorbidities. The prevalence of hypertension (45.5-93.2%), chronic kidney disease (14.0-52.7%) and heart disease (29.0-83.8%) was higher in hospitalized vs diagnosed patients with COVID-19. Compared with 70 660 hospitalized with influenza, those admitted with COVID-19 had more respiratory complications including pneumonia and acute respiratory distress syndrome, and higher 30-day mortality (2.2-4.3% vs 6.32-24.6%).ConclusionCompared with influenza, COVID-19 is a more severe disease, leading to more complications and higher mortality.

Published
2021

7. Characteristics and Outcomes of Over 300,000 Patients with COVID-19 and History of Cancer in the United States and SpainCharacteristics of 300,000 COVID-19 Individuals with Cancer

Author

Roel, Elena, Pistillo, Andrea, Recalde, Martina, Sena, Anthony G, Fernández-Bertolín, Sergio, Aragón, Maria, Puente, Diana, Ahmed, Waheed-Ul-Rahman, Alghoul, Heba, Alser, Osaid, Alshammari, Thamir M, Areia, Carlos, Blacketer, Clair, Carter, William, Casajust, Paula, Culhane, Aedin C, Dawoud, Dalia, DeFalco, Frank, DuVall, Scott L, Falconer, Thomas, Golozar, Asieh, Gong, Mengchun, Hester, Laura, Hripcsak, George, Tan, Eng Hooi, Jeon, Hokyun, Jonnagaddala, Jitendra, Lai, Lana YH, Lynch, Kristine E, Matheny, Michael E, Morales, Daniel R, Natarajan, Karthik, Nyberg, Fredrik, Ostropolets, Anna, Posada, José D, Prats-Uribe, Albert, Reich, Christian G, Rivera, Donna R, Schilling, Lisa M, Soerjomataram, Isabelle, Shah, Karishma, Shah, Nigam H, Shen, Yang, Spotniz, Matthew, Subbian, Vignesh, Suchard, Marc A, Trama, Annalisa, Zhang, Lin, Zhang, Ying, Ryan, Patrick B, Prieto-Alhambra, Daniel, Kostka, Kristin, and Duarte-Salles, Talita

Subjects
Biomedical and Clinical Sciences, Health Services and Systems, Health Sciences, Clinical Sciences, Oncology and Carcinogenesis, Breast Cancer, Patient Safety, Infectious Diseases, Rare Diseases, Hematology, Cancer, Urologic Diseases, Prevention, Clinical Research, Aetiology, 2.4 Surveillance and distribution, Good Health and Well Being, Adolescent, Adult, Aged, Aged, 80 and over, COVID-19, Child, Cohort Studies, Comorbidity, Databases, Factual, Female, Hospitalization, Humans, Immunosuppression Therapy, Influenza, Human, Male, Middle Aged, Neoplasms, Outcome Assessment, Health Care, Pandemics, Prevalence, Risk Factors, SARS-CoV-2, Spain, United States, Young Adult, Medical and Health Sciences, Epidemiology, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundWe described the demographics, cancer subtypes, comorbidities, and outcomes of patients with a history of cancer and coronavirus disease 2019 (COVID-19). Second, we compared patients hospitalized with COVID-19 to patients diagnosed with COVID-19 and patients hospitalized with influenza.MethodsWe conducted a cohort study using eight routinely collected health care databases from Spain and the United States, standardized to the Observational Medical Outcome Partnership common data model. Three cohorts of patients with a history of cancer were included: (i) diagnosed with COVID-19, (ii) hospitalized with COVID-19, and (iii) hospitalized with influenza in 2017 to 2018. Patients were followed from index date to 30 days or death. We reported demographics, cancer subtypes, comorbidities, and 30-day outcomes.ResultsWe included 366,050 and 119,597 patients diagnosed and hospitalized with COVID-19, respectively. Prostate and breast cancers were the most frequent cancers (range: 5%-18% and 1%-14% in the diagnosed cohort, respectively). Hematologic malignancies were also frequent, with non-Hodgkin's lymphoma being among the five most common cancer subtypes in the diagnosed cohort. Overall, patients were aged above 65 years and had multiple comorbidities. Occurrence of death ranged from 2% to 14% and from 6% to 26% in the diagnosed and hospitalized COVID-19 cohorts, respectively. Patients hospitalized with influenza (n = 67,743) had a similar distribution of cancer subtypes, sex, age, and comorbidities but lower occurrence of adverse events.ConclusionsPatients with a history of cancer and COVID-19 had multiple comorbidities and a high occurrence of COVID-19-related events. Hematologic malignancies were frequent.ImpactThis study provides epidemiologic characteristics that can inform clinical care and etiologic studies.

Published
2021

8. Risk of depression, suicide and psychosis with hydroxychloroquine treatment for rheumatoid arthritis: a multinational network cohort study

Author

Lane, Jennifer CE, Weaver, James, Kostka, Kristin, Duarte-Salles, Talita, Abrahao, Maria Tereza F, Alghoul, Heba, Alser, Osaid, Alshammari, Thamir M, Areia, Carlos, Biedermann, Patricia, Banda, Juan M, Burn, Edward, Casajust, Paula, Fister, Kristina, Hardin, Jill, Hester, Laura, Hripcsak, George, Kaas-Hansen, Benjamin Skov, Khosla, Sajan, Kolovos, Spyros, Lynch, Kristine E, Makadia, Rupa, Mehta, Paras P, Morales, Daniel R, Morgan-Stewart, Henry, Mosseveld, Mees, Newby, Danielle, Nyberg, Fredrik, Ostropolets, Anna, Park, Rae Woong, Prats-Uribe, Albert, Rao, Gowtham A, Reich, Christian, Rijnbeek, Peter, Sena, Anthony G, Shoaibi, Azza, Spotnitz, Matthew, Subbian, Vignesh, Suchard, Marc A, Vizcaya, David, Wen, Haini, de Wilde, Marcel, Xie, Junqing, You, Seng Chan, Zhang, Lin, Lovestone, Simon, Ryan, Patrick, Prieto-Alhambra, Daniel, and consortium, for the OHDSI-COVID-19

Subjects
Brain Disorders, Autoimmune Disease, Serious Mental Illness, Mental Health, Suicide, Depression, Behavioral and Social Science, Arthritis, Clinical Research, Prevention, Suicide Prevention, Mental health, Good Health and Well Being, Adolescent, Adult, Aged, Antirheumatic Agents, Arthritis, Rheumatoid, Cohort Studies, Female, Germany, Humans, Hydroxychloroquine, Male, Middle Aged, Psychoses, Substance-Induced, Risk Assessment, Suicidal Ideation, United Kingdom, United States, Young Adult, COVID-19 Drug Treatment, HCQ, safety, epidemiology, RA, psychosis, depression, OHDSI-COVID-19 consortium, epidemiology, RA, Clinical Sciences, Immunology, Public Health and Health Services, Arthritis & Rheumatology
Abstract

ObjectivesConcern has been raised in the rheumatology community regarding recent regulatory warnings that HCQ used in the coronavirus disease 2019 pandemic could cause acute psychiatric events. We aimed to study whether there is risk of incident depression, suicidal ideation or psychosis associated with HCQ as used for RA.MethodsWe performed a new-user cohort study using claims and electronic medical records from 10 sources and 3 countries (Germany, UK and USA). RA patients ≥18 years of age and initiating HCQ were compared with those initiating SSZ (active comparator) and followed up in the short (30 days) and long term (on treatment). Study outcomes included depression, suicide/suicidal ideation and hospitalization for psychosis. Propensity score stratification and calibration using negative control outcomes were used to address confounding. Cox models were fitted to estimate database-specific calibrated hazard ratios (HRs), with estimates pooled where I2

Published
2021

9. Use of repurposed and adjuvant drugs in hospital patients with covid-19: multinational network cohort study.

Author

Prats-Uribe, Albert, Sena, Anthony G, Lai, Lana Yin Hui, Ahmed, Waheed-Ul-Rahman, Alghoul, Heba, Alser, Osaid, Alshammari, Thamir M, Areia, Carlos, Carter, William, Casajust, Paula, Dawoud, Dalia, Golozar, Asieh, Jonnagaddala, Jitendra, Mehta, Paras P, Gong, Mengchun, Morales, Daniel R, Nyberg, Fredrik, Posada, Jose D, Recalde, Martina, Roel, Elena, Shah, Karishma, Shah, Nigam H, Schilling, Lisa M, Subbian, Vignesh, Vizcaya, David, Zhang, Lin, Zhang, Ying, Zhu, Hong, Liu, Li, Cho, Jaehyeong, Lynch, Kristine E, Matheny, Michael E, You, Seng Chan, Rijnbeek, Peter R, Hripcsak, George, Lane, Jennifer Ce, Burn, Edward, Reich, Christian, Suchard, Marc A, Duarte-Salles, Talita, Kostka, Kristin, Ryan, Patrick B, and Prieto-Alhambra, Daniel

Subjects
Humans, Ceftriaxone, Azithromycin, Ritonavir, Hydroxychloroquine, Fluoroquinolones, Adrenal Cortex Hormones, Enoxaparin, Vitamin D, Drug Combinations, Treatment Outcome, Chemotherapy, Adjuvant, Cohort Studies, Safety, Adolescent, Adult, Aged, Aged, 80 and over, Middle Aged, Child, Child, Preschool, Infant, Infant, Newborn, Inpatients, United States, China, Spain, Female, Male, Young Adult, Republic of Korea, Electronic Health Records, Drug Repositioning, Lopinavir, Administrative Claims, Healthcare, COVID-19, SARS-CoV-2, Administrative Claims, Healthcare, and over, Chemotherapy, Adjuvant, Preschool, Newborn, General & Internal Medicine, Clinical Sciences, Public Health and Health Services
Abstract

ObjectiveTo investigate the use of repurposed and adjuvant drugs in patients admitted to hospital with covid-19 across three continents.DesignMultinational network cohort study.SettingHospital electronic health records from the United States, Spain, and China, and nationwide claims data from South Korea.Participants303 264 patients admitted to hospital with covid-19 from January 2020 to December 2020.Main outcome measuresPrescriptions or dispensations of any drug on or 30 days after the date of hospital admission for covid-19.ResultsOf the 303 264 patients included, 290 131 were from the US, 7599 from South Korea, 5230 from Spain, and 304 from China. 3455 drugs were identified. Common repurposed drugs were hydroxychloroquine (used in from

Published
2021

10. Clinical phenotypes and outcomes in children with multisystem inflammatory syndrome across SARS-CoV-2 variant eras: a multinational study from the 4CE consortium

Author

Aaron, James R., Adam, Atif, Agapito, Giuseppe, Albayrak, Adem, Albi, Giuseppe, Alessiani, Mario, Alloni, Anna, Amendola, Danilo F., Angoulvant, François, Anthony, Li LLJ., Aronow, Bruce J., Ashraf, Fatima, Atz, Andrew, Avillach, Paul, Panickan, Vidul Ayakulangara, Azevedo, Paula S., Badenes, Rafael, Balshi, James, Batugo, Ashley, Beaulieu-Jones, Brendin R., Beaulieu-Jones, Brett K., Bell, Douglas S., Bellasi, Antonio, Bellazzi, Riccardo, Benoit, Vincent, Beraghi, Michele, Bernal-Sobrino, José Luis, Bernaux, Mélodie, Bey, Romain, Bhatnagar, Surbhi, Blanco-Martínez, Alvar, Boeker, Martin, Bonzel, Clara-Lea, Booth, John, Bosari, Silvano, Bourgeois, Florence T., Bradford, Robert L., Brat, Gabriel A., Bréant, Stéphane, Brown, Nicholas W., Bruno, Raffaele, Bryant, William A., Bucalo, Mauro, Bucholz, Emily, Burgun, Anita, Cai, Tianxi, Cannataro, Mario, Carmona, Aldo, Cattelan, Anna Maria, Caucheteux, Charlotte, Champ, Julien, Chen, Jin, Chen, Krista Y., Chiovato, Luca, Chiudinelli, Lorenzo, Cho, Kelly, Cimino, James J., Colicchio, Tiago K., Cormont, Sylvie, Cossin, Sébastien, Craig, Jean B., Cruz-Bermúdez, Juan Luis, Cruz-Rojo, Jaime, Dagliati, Arianna, Daniar, Mohamad, Daniel, Christel, Das, Priyam, Devkota, Batsal, Dionne, Audrey, Duan, Rui, Dubiel, Julien, DuVall, Scott L., Esteve, Loic, Estiri, Hossein, Fan, Shirley, Follett, Robert W., Ganslandt, Thomas, García-Barrio, Noelia, Garmire, Lana X., Gehlenborg, Nils, Getzen, Emily J., Geva, Alon, Goh, Rachel SJ., González, Tomás González, Gradinger, Tobias, Gramfort, Alexandre, Griffier, Romain, Griffon, Nicolas, Grisel, Olivier, Gutiérrez-Sacristán, Alba, Guzzi, Pietro H., Han, Larry, Hanauer, David A., Haverkamp, Christian, Hazard, Derek Y., He, Bing, Henderson, Darren W., Hilka, Martin, Ho, Yuk-Lam, Holmes, John H., Honerlaw, Jacqueline P., Hong, Chuan, Huling, Kenneth M., Hutch, Meghan R., Issitt, Richard W., Jannot, Anne Sophie, Jouhet, Vianney, Kainth, Mundeep K., Kate, Kernan F., Kavuluru, Ramakanth, Keller, Mark S., Kennedy, Chris J., Kernan, Kate F., Key, Daniel A., Kirchoff, Katie, Klann, Jeffrey G., Kohane, Isaac S., Krantz, Ian D., Kraska, Detlef, Krishnamurthy, Ashok K., L'Yi, Sehi, Leblanc, Judith, Lemaitre, Guillaume, Lenert, Leslie, Leprovost, Damien, Liu, Molei, Will Loh, Ne Hooi, Long, Qi, Lozano-Zahonero, Sara, Luo, Yuan, Lynch, Kristine E., Mahmood, Sadiqa, Maidlow, Sarah E., Makoudjou, Adeline, Makwana, Simran, Malovini, Alberto, Mandl, Kenneth D., Mao, Chengsheng, Maram, Anupama, Maripuri, Monika, Martel, Patricia, Martins, Marcelo R., Marwaha, Jayson S., Masino, Aaron J., Mazzitelli, Maria, Mazzotti, Diego R., Mensch, Arthur, Milano, Marianna, Minicucci, Marcos F., Moal, Bertrand, Ahooyi, Taha Mohseni, Moore, Jason H., Moraleda, Cinta, Morris, Jeffrey S., Morris, Michele, Moshal, Karyn L., Mousavi, Sajad, Mowery, Danielle L., Murad, Douglas A., Murphy, Shawn N., Naughton, Thomas P., Breda Neto, Carlos Tadeu, Neuraz, Antoine, Newburger, Jane, Ngiam, Kee Yuan, Njoroge, Wanjiku FM., Norman, James B., Obeid, Jihad, Okoshi, Marina P., Olson, Karen L., Omenn, Gilbert S., Orlova, Nina, Ostasiewski, Brian D., Palmer, Nathan P., Paris, Nicolas, Patel, Lav P., Pedrera-Jiménez, Miguel, Pfaff, Ashley C., Pfaff, Emily R., Pillion, Danielle, Pizzimenti, Sara, Priya, Tanu, Prokosch, Hans U., Prudente, Robson A., Prunotto, Andrea, Quirós-González, Víctor, Ramoni, Rachel B., Raskin, Maryna, Rieg, Siegbert, Roig-Domínguez, Gustavo, Rojo, Pablo, Romero-Garcia, Nekane, Rubio-Mayo, Paula, Sacchi, Paolo, Sáez, Carlos, Salamanca, Elisa, Samayamuthu, Malarkodi Jebathilagam, Sanchez-Pinto, L. Nelson, Sandrin, Arnaud, Santhanam, Nandhini, Santos, Janaina C.C., Sanz Vidorreta, Fernando J., Savino, Maria, Schriver, Emily R., Schubert, Petra, Schuettler, Juergen, Scudeller, Luigia, Sebire, Neil J., Serrano-Balazote, Pablo, Serre, Patricia, Serret-Larmande, Arnaud, Shah, Mohsin A., Hossein Abad, Zahra Shakeri, Silvio, Domenick, Sliz, Piotr, Son, Jiyeon, Sonday, Charles, South, Andrew M., Sperotto, Francesca, Spiridou, Anastasia, Strasser, Zachary H., Tan, Amelia LM., Tan, Bryce W.Q., Tan, Byorn W.L., Tanni, Suzana E., Taylor, Deanne M., Terriza-Torres, Ana I., Tibollo, Valentina, Tippmann, Patric, Toh, Emma MS., Torti, Carlo, Trecarichi, Enrico M., Vallejos, Andrew K., Varoquaux, Gael, Vella, Margaret E., Verdy, Guillaume, Vie, Jill-Jênn, Visweswaran, Shyam, Vitacca, Michele, Wagholikar, Kavishwar B., Waitman, Lemuel R., Wang, Xuan, Wassermann, Demian, Weber, Griffin M., Wolkewitz, Martin, Wong, Scott, Xia, Zongqi, Xiong, Xin, Ye, Ye, Yehya, Nadir, Yuan, William, Zachariasse, Joany M., Zahner, Janet J., Zambelli, Alberto, Zhang, Harrison G., Zöller, Daniela, Zuccaro, Valentina, Zucco, Chiara, Li, Xiudi, Rofeberg, Valerie N., Elias, Matthew D., Laird-Gion, Jessica, and Newburger, Jane W.

Published
2023
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11. Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort study

Author

Aaron, James R., Agapito, Giuseppe, Albayrak, Adem, Albi, Giuseppe, Alessiani, Mario, Alloni, Anna, Amendola, Danilo F., François Angoulvant, Anthony, Li L.L.J., Aronow, Bruce J., Ashraf, Fatima, Atz, Andrew, Avillach, Paul, Azevedo, Paula S., Balshi, James, Beaulieu-Jones, Brett K., Bell, Douglas S., Bellasi, Antonio, Bellazzi, Riccardo, Benoit, Vincent, Beraghi, Michele, Bernal-Sobrino, José Luis, Bernaux, Mélodie, Bey, Romain, Bhatnagar, Surbhi, Blanco-Martínez, Alvar, Bonzel, Clara-Lea, Booth, John, Bosari, Silvano, Bourgeois, Florence T., Bradford, Robert L., Brat, Gabriel A., Bréant, Stéphane, Brown, Nicholas W., Bruno, Raffaele, Bryant, William A., Bucalo, Mauro, Bucholz, Emily, Burgun, Anita, Cai, Tianxi, Cannataro, Mario, Carmona, Aldo, Caucheteux, Charlotte, Champ, Julien, Chen, Jin, Chen, Krista Y., Chiovato, Luca, Chiudinelli, Lorenzo, Cho, Kelly, Cimino, James J., Colicchio, Tiago K., Cormont, Sylvie, Cossin, Sébastien, Craig, Jean B., Cruz-Bermúdez, Juan Luis, Cruz-Rojo, Jaime, Dagliati, Arianna, Daniar, Mohamad, Daniel, Christel, Das, Priyam, Devkota, Batsal, Dionne, Audrey, Duan, Rui, Dubiel, Julien, DuVall, Scott L., Esteve, Loic, Estiri, Hossein, Fan, Shirley, Follett, Robert W., Ganslandt, Thomas, Barrio, Noelia García, Garmire, Lana X., Gehlenborg, Nils, Getzen, Emily J., Geva, Alon, Gradinger, Tobias, Gramfort, Alexandre, Griffier, Romain, Griffon, Nicolas, Grisel, Olivier, Gutiérrez-Sacristán, Alba, Han, Larry, Hanauer, David A., Haverkamp, Christian, Hazard, Derek Y., He, Bing, Henderson, Darren W., Hilka, Martin, Ho, Yuk-Lam, Holmes, John H., Hong, Chuan, Huling, Kenneth M., Hutch, Meghan R., Issitt, Richard W., Jannot, Anne Sophie, Jouhet, Vianney, Kavuluru, Ramakanth, Keller, Mark S., Kennedy, Chris J., Key, Daniel A., Kirchoff, Katie, Klann, Jeffrey G., Kohane, Isaac S., Krantz, Ian D., Kraska, Detlef, Krishnamurthy, Ashok K., L'Yi, Sehi, Le, Trang T., Leblanc, Judith, Lemaitre, Guillaume, Lenert, Leslie, Leprovost, Damien, Liu, Molei, Will Loh, Ne Hooi, Long, Qi, Lozano-Zahonero, Sara, Luo, Yuan, Lynch, Kristine E., Mahmood, Sadiqa, Maidlow, Sarah E., Makoudjou, Adeline, Malovini, Alberto, Mandl, Kenneth D., Mao, Chengsheng, Maram, Anupama, Martel, Patricia, Martins, Marcelo R., Marwaha, Jayson S., Masino, Aaron J., Mazzitelli, Maria, Mensch, Arthur, Milano, Marianna, Minicucci, Marcos F., Moal, Bertrand, Ahooyi, Taha Mohseni, Moore, Jason H., Moraleda, Cinta, Morris, Jeffrey S., Morris, Michele, Moshal, Karyn L., Mousavi, Sajad, Mowery, Danielle L., Murad, Douglas A., Murphy, Shawn N., Naughton, Thomas P., Breda Neto, Carlos Tadeu, Neuraz, Antoine, Newburger, Jane, Ngiam, Kee Yuan, Njoroge, Wanjiku F.M., Norman, James B., Obeid, Jihad, Okoshi, Marina P., Olson, Karen L., Omenn, Gilbert S., Orlova, Nina, Ostasiewski, Brian D., Palmer, Nathan P., Paris, Nicolas, Patel, Lav P., Pedrera-Jiménez, Miguel, Pfaff, Emily R., Pfaff, Ashley C., Pillion, Danielle, Pizzimenti, Sara, Prokosch, Hans U., Prudente, Robson A., Prunotto, Andrea, Quirós-González, Víctor, Ramoni, Rachel B., Raskin, Maryna, Rieg, Siegbert, Roig-Domínguez, Gustavo, Rojo, Pablo, Rubio-Mayo, Paula, Sacchi, Paolo, Sáez, Carlos, Salamanca, Elisa, Samayamuthu, Malarkodi Jebathilagam, Sanchez-Pinto, L. Nelson, Sandrin, Arnaud, Santhanam, Nandhini, Santos, Janaina C.C., Sanz Vidorreta, Fernando J., Savino, Maria, Schriver, Emily R., Schubert, Petra, Schuettler, Juergen, Scudeller, Luigia, Sebire, Neil J., Serrano-Balazote, Pablo, Serre, Patricia, Serret-Larmande, Arnaud, Shah, Mohsin, Hossein Abad, Zahra Shakeri, Silvio, Domenick, Sliz, Piotr, Son, Jiyeon, Sonday, Charles, South, Andrew M., Spiridou, Anastasia, Strasser, Zachary H., Tan, Amelia L.M., Tan, Bryce W.Q., Tan, Byorn W.L., Tanni, Suzana E., Taylor, Deanne M., Terriza-Torres, Ana I., Tibollo, Valentina, Tippmann, Patric, Toh, Emma M.S., Torti, Carlo, Trecarichi, Enrico M., Tseng, Yi-Ju, Vallejos, Andrew K., Varoquaux, Gael, Vella, Margaret E., Verdy, Guillaume, Vie, Jill-Jênn, Visweswaran, Shyam, Vitacca, Michele, Wagholikar, Kavishwar B., Waitman, Lemuel R., Wang, Xuan, Wassermann, Demian, Weber, Griffin M., Wolkewitz, Martin, Wong, Scott, Xia, Zongqi, Xiong, Xin, Ye, Ye, Yehya, Nadir, Yuan, William, Zambelli, Alberto, Zhang, Harrison G., Zo¨ller, Daniela, Zuccaro, Valentina, Zucco, Chiara, Mesa, Rebecca, and Verdy, Guillame

Published
2023
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12. Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study.

Author

Burn, Edward, You, Seng Chan, Sena, Anthony G, Kostka, Kristin, Abedtash, Hamed, Abrahão, Maria Tereza F, Alberga, Amanda, Alghoul, Heba, Alser, Osaid, Alshammari, Thamir M, Aragon, Maria, Areia, Carlos, Banda, Juan M, Cho, Jaehyeong, Culhane, Aedin C, Davydov, Alexander, DeFalco, Frank J, Duarte-Salles, Talita, DuVall, Scott, Falconer, Thomas, Fernandez-Bertolin, Sergio, Gao, Weihua, Golozar, Asieh, Hardin, Jill, Hripcsak, George, Huser, Vojtech, Jeon, Hokyun, Jing, Yonghua, Jung, Chi Young, Kaas-Hansen, Benjamin Skov, Kaduk, Denys, Kent, Seamus, Kim, Yeesuk, Kolovos, Spyros, Lane, Jennifer CE, Lee, Hyejin, Lynch, Kristine E, Makadia, Rupa, Matheny, Michael E, Mehta, Paras P, Morales, Daniel R, Natarajan, Karthik, Nyberg, Fredrik, Ostropolets, Anna, Park, Rae Woong, Park, Jimyung, Posada, Jose D, Prats-Uribe, Albert, Rao, Gowtham, Reich, Christian, Rho, Yeunsook, Rijnbeek, Peter, Schilling, Lisa M, Schuemie, Martijn, Shah, Nigam H, Shoaibi, Azza, Song, Seokyoung, Spotnitz, Matthew, Suchard, Marc A, Swerdel, Joel N, Vizcaya, David, Volpe, Salvatore, Wen, Haini, Williams, Andrew E, Yimer, Belay B, Zhang, Lin, Zhuk, Oleg, Prieto-Alhambra, Daniel, and Ryan, Patrick

Subjects
Humans, Pneumonia, Viral, Coronavirus Infections, Hospitalization, Prevalence, Cohort Studies, Age Factors, Comorbidity, Sex Factors, Adult, Aged, Aged, 80 and over, Middle Aged, United States, Spain, Female, Male, Influenza, Human, Young Adult, Republic of Korea, Pandemics, COVID-19, and over, Influenza, Human, Pneumonia, Viral
Abstract

Comorbid conditions appear to be common among individuals hospitalised with coronavirus disease 2019 (COVID-19) but estimates of prevalence vary and little is known about the prior medication use of patients. Here, we describe the characteristics of adults hospitalised with COVID-19 and compare them with influenza patients. We include 34,128 (US: 8362, South Korea: 7341, Spain: 18,425) COVID-19 patients, summarising between 4811 and 11,643 unique aggregate characteristics. COVID-19 patients have been majority male in the US and Spain, but predominantly female in South Korea. Age profiles vary across data sources. Compared to 84,585 individuals hospitalised with influenza in 2014-19, COVID-19 patients have more typically been male, younger, and with fewer comorbidities and lower medication use. While protecting groups vulnerable to influenza is likely a useful starting point in the response to COVID-19, strategies will likely need to be broadened to reflect the particular characteristics of individuals being hospitalised with COVID-19.

Published
2020

17. Seek COVER: using a disease proxy to rapidly develop and validate a personalized risk calculator for COVID-19 outcomes in an international network

Author

Williams, Ross D., Markus, Aniek F., Yang, Cynthia, Duarte-Salles, Talita, DuVall, Scott L., Falconer, Thomas, Jonnagaddala, Jitendra, Kim, Chungsoo, Rho, Yeunsook, Williams, Andrew E., Machado, Amanda Alberga, An, Min Ho, Aragón, María, Areia, Carlos, Burn, Edward, Choi, Young Hwa, Drakos, Iannis, Abrahão, Maria Tereza Fernandes, Fernández-Bertolín, Sergio, Hripcsak, George, Kaas-Hansen, Benjamin Skov, Kandukuri, Prasanna L., Kors, Jan A., Kostka, Kristin, Liaw, Siaw-Teng, Lynch, Kristine E., Machnicki, Gerardo, Matheny, Michael E., Morales, Daniel, Nyberg, Fredrik, Park, Rae Woong, Prats-Uribe, Albert, Pratt, Nicole, Rao, Gowtham, Reich, Christian G., Rivera, Marcela, Seinen, Tom, Shoaibi, Azza, Spotnitz, Matthew E., Steyerberg, Ewout W., Suchard, Marc A., You, Seng Chan, Zhang, Lin, Zhou, Lili, Ryan, Patrick B., Prieto-Alhambra, Daniel, Reps, Jenna M., and Rijnbeek, Peter R.

Published
2022
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20. Characteristics and outcomes of 627 044 COVID-19 patients living with and without obesity in the United States, Spain, and the United Kingdom

Author

Recalde, Martina, Roel, Elena, Pistillo, Andrea, Sena, Anthony G., Prats-Uribe, Albert, Ahmed, Waheed-Ul-Rahman, Alghoul, Heba, Alshammari, Thamir M., Alser, Osaid, Areia, Carlos, Burn, Edward, Casajust, Paula, Dawoud, Dalia, DuVall, Scott L., Falconer, Thomas, Fernández-Bertolín, Sergio, Golozar, Asieh, Gong, Mengchun, Lai, Lana Yin Hui, Lane, Jennifer C. E., Lynch, Kristine E., Matheny, Michael E., Mehta, Paras P., Morales, Daniel R., Natarjan, Karthik, Nyberg, Fredrik, Posada, Jose D., Reich, Christian G., Rijnbeek, Peter R., Schilling, Lisa M., Shah, Karishma, Shah, Nigam H., Subbian, Vignesh, Zhang, Lin, Zhu, Hong, Ryan, Patrick, Prieto-Alhambra, Daniel, Kostka, Kristin, and Duarte-Salles, Talita

Published
2021
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22. Risk of hydroxychloroquine alone and in combination with azithromycin in the treatment of rheumatoid arthritis: a multinational, retrospective study

Author

Lane, Jennifer C E, Weaver, James, Kostka, Kristin, Duarte-Salles, Talita, Abrahao, Maria Tereza F, Alghoul, Heba, Alser, Osaid, Alshammari, Thamir M, Biedermann, Patricia, Banda, Juan M, Burn, Edward, Casajust, Paula, Conover, Mitchell M, Culhane, Aedin C, Davydov, Alexander, DuVall, Scott L, Dymshyts, Dmitry, Fernandez-Bertolin, Sergio, Fišter, Kristina, Hardin, Jill, Hester, Laura, Hripcsak, George, Kaas-Hansen, Benjamin Skov, Kent, Seamus, Khosla, Sajan, Kolovos, Spyros, Lambert, Christophe G, van der Lei, Johan, Lynch, Kristine E, Makadia, Rupa, Margulis, Andrea V, Matheny, Michael E, Mehta, Paras, Morales, Daniel R, Morgan-Stewart, Henry, Mosseveld, Mees, Newby, Danielle, Nyberg, Fredrik, Ostropolets, Anna, Park, Rae Woong, Prats-Uribe, Albert, Rao, Gowtham A, Reich, Christian, Reps, Jenna, Rijnbeek, Peter, Sathappan, Selva Muthu Kumaran, Schuemie, Martijn, Seager, Sarah, Sena, Anthony G, Shoaibi, Azza, Spotnitz, Matthew, Suchard, Marc A, Torre, Carmen O, Vizcaya, David, Wen, Haini, de Wilde, Marcel, Xie, Junqing, You, Seng Chan, Zhang, Lin, Zhuk, Oleg, Ryan, Patrick, and Prieto-Alhambra, Daniel

Published
2020
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26. Actionable druggable genome-wide Mendelian randomization identifies repurposing opportunities for COVID-19

Author

Gaziano, Liam, Giambartolomei, Claudia, Pereira, Alexandre C., Gaulton, Anna, Posner, Daniel C., Swanson, Sonja A., Ho, Yuk-Lam, Iyengar, Sudha K., Kosik, Nicole M., Vujkovic, Marijana, Gagnon, David R., Bento, A. Patrícia, Barrio-Hernandez, Inigo, Rönnblom, Lars, Hagberg, Niklas, Lundtoft, Christian, Langenberg, Claudia, Pietzner, Maik, Valentine, Dennis, Gustincich, Stefano, Tartaglia, Gian Gaetano, Allara, Elias, Surendran, Praveen, Burgess, Stephen, Zhao, Jing Hua, Peters, James E., Prins, Bram P., Angelantonio, Emanuele Di, Devineni, Poornima, Shi, Yunling, Lynch, Kristine E., DuVall, Scott L., Garcon, Helene, Thomann, Lauren O., Zhou, Jin J., Gorman, Bryan R., Huffman, Jennifer E., O’Donnell, Christopher J., Tsao, Philip S., Beckham, Jean C., Pyarajan, Saiju, Muralidhar, Sumitra, Huang, Grant D., Ramoni, Rachel, Beltrao, Pedro, Danesh, John, Hung, Adriana M., Chang, Kyong-Mi, Sun, Yan V., Joseph, Jacob, Leach, Andrew R., Edwards, Todd L., Cho, Kelly, Gaziano, J. Michael, Butterworth, Adam S., and Casas, Juan P.

Published
2021
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28. Predictors of diagnostic transition from major depressive disorder to bipolar disorder: a retrospective observational network study

Author

Nestsiarovich, Anastasiya, Reps, Jenna M., Matheny, Michael E., DuVall, Scott L., Lynch, Kristine E., Beaton, Maura, Jiang, Xinzhuo, Spotnitz, Matthew, Pfohl, Stephen R., Shah, Nigam H., Torre, Carmen Olga, Reich, Christian G., Lee, Dong Yun, Son, Sang Joon, You, Seng Chan, Park, Rae Woong, Ryan, Patrick B., and Lambert, Christophe G.

Published
2021
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33. Implementation of the COVID-19 Vulnerability Index Across an International Network of Health Care Data Sets: Collaborative External Validation Study

Author

Reps, Jenna M, Kim, Chungsoo, Williams, Ross D, Markus, Aniek F, Yang, Cynthia, Duarte-Salles, Talita, Falconer, Thomas, Jonnagaddala, Jitendra, Williams, Andrew, Fernández-Bertolín, Sergio, DuVall, Scott L, Kostka, Kristin, Rao, Gowtham, Shoaibi, Azza, Ostropolets, Anna, Spotnitz, Matthew E, Zhang, Lin, Casajust, Paula, Steyerberg, Ewout W, Nyberg, Fredrik, Kaas-Hansen, Benjamin Skov, Choi, Young Hwa, Morales, Daniel, Liaw, Siaw-Teng, Abrahão, Maria Tereza Fernandes, Areia, Carlos, Matheny, Michael E, Lynch, Kristine E, Aragón, María, Park, Rae Woong, Hripcsak, George, Reich, Christian G, Suchard, Marc A, You, Seng Chan, Ryan, Patrick B, Prieto-Alhambra, Daniel, and Rijnbeek, Peter R

Subjects
Computer applications to medicine. Medical informatics, R858-859.7
Abstract

BackgroundSARS-CoV-2 is straining health care systems globally. The burden on hospitals during the pandemic could be reduced by implementing prediction models that can discriminate patients who require hospitalization from those who do not. The COVID-19 vulnerability (C-19) index, a model that predicts which patients will be admitted to hospital for treatment of pneumonia or pneumonia proxies, has been developed and proposed as a valuable tool for decision-making during the pandemic. However, the model is at high risk of bias according to the “prediction model risk of bias assessment” criteria, and it has not been externally validated. ObjectiveThe aim of this study was to externally validate the C-19 index across a range of health care settings to determine how well it broadly predicts hospitalization due to pneumonia in COVID-19 cases. MethodsWe followed the Observational Health Data Sciences and Informatics (OHDSI) framework for external validation to assess the reliability of the C-19 index. We evaluated the model on two different target populations, 41,381 patients who presented with SARS-CoV-2 at an outpatient or emergency department visit and 9,429,285 patients who presented with influenza or related symptoms during an outpatient or emergency department visit, to predict their risk of hospitalization with pneumonia during the following 0-30 days. In total, we validated the model across a network of 14 databases spanning the United States, Europe, Australia, and Asia. ResultsThe internal validation performance of the C-19 index had a C statistic of 0.73, and the calibration was not reported by the authors. When we externally validated it by transporting it to SARS-CoV-2 data, the model obtained C statistics of 0.36, 0.53 (0.473-0.584) and 0.56 (0.488-0.636) on Spanish, US, and South Korean data sets, respectively. The calibration was poor, with the model underestimating risk. When validated on 12 data sets containing influenza patients across the OHDSI network, the C statistics ranged between 0.40 and 0.68. ConclusionsOur results show that the discriminative performance of the C-19 index model is low for influenza cohorts and even worse among patients with COVID-19 in the United States, Spain, and South Korea. These results suggest that C-19 should not be used to aid decision-making during the COVID-19 pandemic. Our findings highlight the importance of performing external validation across a range of settings, especially when a prediction model is being extrapolated to a different population. In the field of prediction, extensive validation is required to create appropriate trust in a model.

Published
2021
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34. Clinical phenotypes and outcomes in children with multisystem inflammatory syndrome across SARS-CoV-2 variant eras: a multinational study from the 4CE consortium

Author

Sperotto, Francesca, primary, Gutiérrez-Sacristán, Alba, additional, Makwana, Simran, additional, Li, Xiudi, additional, Rofeberg, Valerie N., additional, Cai, Tianxi, additional, Bourgeois, Florence T., additional, Omenn, Gilbert S., additional, Hanauer, David A., additional, Sáez, Carlos, additional, Bonzel, Clara-Lea, additional, Bucholz, Emily, additional, Dionne, Audrey, additional, Elias, Matthew D., additional, García-Barrio, Noelia, additional, González, Tomás González, additional, Issitt, Richard W., additional, Kernan, Kate F., additional, Laird-Gion, Jessica, additional, Maidlow, Sarah E., additional, Mandl, Kenneth D., additional, Ahooyi, Taha Mohseni, additional, Moraleda, Cinta, additional, Morris, Michele, additional, Moshal, Karyn L., additional, Pedrera-Jiménez, Miguel, additional, Shah, Mohsin A., additional, South, Andrew M., additional, Spiridou, Anastasia, additional, Taylor, Deanne M., additional, Verdy, Guillaume, additional, Visweswaran, Shyam, additional, Wang, Xuan, additional, Xia, Zongqi, additional, Zachariasse, Joany M., additional, Newburger, Jane W., additional, Avillach, Paul, additional, Aaron, James R., additional, Adam, Atif, additional, Agapito, Giuseppe, additional, Albayrak, Adem, additional, Albi, Giuseppe, additional, Alessiani, Mario, additional, Alloni, Anna, additional, Amendola, Danilo F., additional, Angoulvant, François, additional, Anthony, Li LLJ., additional, Aronow, Bruce J., additional, Ashraf, Fatima, additional, Atz, Andrew, additional, Panickan, Vidul Ayakulangara, additional, Azevedo, Paula S., additional, Badenes, Rafael, additional, Balshi, James, additional, Batugo, Ashley, additional, Beaulieu-Jones, Brendin R., additional, Beaulieu-Jones, Brett K., additional, Bell, Douglas S., additional, Bellasi, Antonio, additional, Bellazzi, Riccardo, additional, Benoit, Vincent, additional, Beraghi, Michele, additional, Bernal-Sobrino, José Luis, additional, Bernaux, Mélodie, additional, Bey, Romain, additional, Bhatnagar, Surbhi, additional, Blanco-Martínez, Alvar, additional, Boeker, Martin, additional, Booth, John, additional, Bosari, Silvano, additional, Bradford, Robert L., additional, Brat, Gabriel A., additional, Bréant, Stéphane, additional, Brown, Nicholas W., additional, Bruno, Raffaele, additional, Bryant, William A., additional, Bucalo, Mauro, additional, Burgun, Anita, additional, Cannataro, Mario, additional, Carmona, Aldo, additional, Cattelan, Anna Maria, additional, Caucheteux, Charlotte, additional, Champ, Julien, additional, Chen, Jin, additional, Chen, Krista Y., additional, Chiovato, Luca, additional, Chiudinelli, Lorenzo, additional, Cho, Kelly, additional, Cimino, James J., additional, Colicchio, Tiago K., additional, Cormont, Sylvie, additional, Cossin, Sébastien, additional, Craig, Jean B., additional, Cruz-Bermúdez, Juan Luis, additional, Cruz-Rojo, Jaime, additional, Dagliati, Arianna, additional, Daniar, Mohamad, additional, Daniel, Christel, additional, Das, Priyam, additional, Devkota, Batsal, additional, Duan, Rui, additional, Dubiel, Julien, additional, DuVall, Scott L., additional, Esteve, Loic, additional, Estiri, Hossein, additional, Fan, Shirley, additional, Follett, Robert W., additional, Ganslandt, Thomas, additional, Garmire, Lana X., additional, Gehlenborg, Nils, additional, Getzen, Emily J., additional, Geva, Alon, additional, Goh, Rachel SJ., additional, Gradinger, Tobias, additional, Gramfort, Alexandre, additional, Griffier, Romain, additional, Griffon, Nicolas, additional, Grisel, Olivier, additional, Guzzi, Pietro H., additional, Han, Larry, additional, Haverkamp, Christian, additional, Hazard, Derek Y., additional, He, Bing, additional, Henderson, Darren W., additional, Hilka, Martin, additional, Ho, Yuk-Lam, additional, Holmes, John H., additional, Honerlaw, Jacqueline P., additional, Hong, Chuan, additional, Huling, Kenneth M., additional, Hutch, Meghan R., additional, Jannot, Anne Sophie, additional, Jouhet, Vianney, additional, Kainth, Mundeep K., additional, Kate, Kernan F., additional, Kavuluru, Ramakanth, additional, Keller, Mark S., additional, Kennedy, Chris J., additional, Key, Daniel A., additional, Kirchoff, Katie, additional, Klann, Jeffrey G., additional, Kohane, Isaac S., additional, Krantz, Ian D., additional, Kraska, Detlef, additional, Krishnamurthy, Ashok K., additional, L'Yi, Sehi, additional, Leblanc, Judith, additional, Lemaitre, Guillaume, additional, Lenert, Leslie, additional, Leprovost, Damien, additional, Liu, Molei, additional, Will Loh, Ne Hooi, additional, Long, Qi, additional, Lozano-Zahonero, Sara, additional, Luo, Yuan, additional, Lynch, Kristine E., additional, Mahmood, Sadiqa, additional, Makoudjou, Adeline, additional, Malovini, Alberto, additional, Mao, Chengsheng, additional, Maram, Anupama, additional, Maripuri, Monika, additional, Martel, Patricia, additional, Martins, Marcelo R., additional, Marwaha, Jayson S., additional, Masino, Aaron J., additional, Mazzitelli, Maria, additional, Mazzotti, Diego R., additional, Mensch, Arthur, additional, Milano, Marianna, additional, Minicucci, Marcos F., additional, Moal, Bertrand, additional, Moore, Jason H., additional, Morris, Jeffrey S., additional, Mousavi, Sajad, additional, Mowery, Danielle L., additional, Murad, Douglas A., additional, Murphy, Shawn N., additional, Naughton, Thomas P., additional, Breda Neto, Carlos Tadeu, additional, Neuraz, Antoine, additional, Newburger, Jane, additional, Ngiam, Kee Yuan, additional, Njoroge, Wanjiku FM., additional, Norman, James B., additional, Obeid, Jihad, additional, Okoshi, Marina P., additional, Olson, Karen L., additional, Orlova, Nina, additional, Ostasiewski, Brian D., additional, Palmer, Nathan P., additional, Paris, Nicolas, additional, Patel, Lav P., additional, Pfaff, Ashley C., additional, Pfaff, Emily R., additional, Pillion, Danielle, additional, Pizzimenti, Sara, additional, Priya, Tanu, additional, Prokosch, Hans U., additional, Prudente, Robson A., additional, Prunotto, Andrea, additional, Quirós-González, Víctor, additional, Ramoni, Rachel B., additional, Raskin, Maryna, additional, Rieg, Siegbert, additional, Roig-Domínguez, Gustavo, additional, Rojo, Pablo, additional, Romero-Garcia, Nekane, additional, Rubio-Mayo, Paula, additional, Sacchi, Paolo, additional, Salamanca, Elisa, additional, Samayamuthu, Malarkodi Jebathilagam, additional, Sanchez-Pinto, L. Nelson, additional, Sandrin, Arnaud, additional, Santhanam, Nandhini, additional, Santos, Janaina C.C., additional, Sanz Vidorreta, Fernando J., additional, Savino, Maria, additional, Schriver, Emily R., additional, Schubert, Petra, additional, Schuettler, Juergen, additional, Scudeller, Luigia, additional, Sebire, Neil J., additional, Serrano-Balazote, Pablo, additional, Serre, Patricia, additional, Serret-Larmande, Arnaud, additional, Hossein Abad, Zahra Shakeri, additional, Silvio, Domenick, additional, Sliz, Piotr, additional, Son, Jiyeon, additional, Sonday, Charles, additional, Sperotto, Francesca, additional, Strasser, Zachary H., additional, Tan, Amelia LM., additional, Tan, Bryce W.Q., additional, Tan, Byorn W.L., additional, Tanni, Suzana E., additional, Terriza-Torres, Ana I., additional, Tibollo, Valentina, additional, Tippmann, Patric, additional, Toh, Emma MS., additional, Torti, Carlo, additional, Trecarichi, Enrico M., additional, Vallejos, Andrew K., additional, Varoquaux, Gael, additional, Vella, Margaret E., additional, Vie, Jill-Jênn, additional, Vitacca, Michele, additional, Wagholikar, Kavishwar B., additional, Waitman, Lemuel R., additional, Wassermann, Demian, additional, Weber, Griffin M., additional, Wolkewitz, Martin, additional, Wong, Scott, additional, Xiong, Xin, additional, Ye, Ye, additional, Yehya, Nadir, additional, Yuan, William, additional, Zahner, Janet J., additional, Zambelli, Alberto, additional, Zhang, Harrison G., additional, Zöller, Daniela, additional, Zuccaro, Valentina, additional, and Zucco, Chiara, additional

Published
2023
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36. Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study

Author

Ostropolets, Anna, primary, Albogami, Yasser, additional, Conover, Mitchell, additional, Banda, Juan M, additional, Baumgartner, William A, additional, Blacketer, Clair, additional, Desai, Priyamvada, additional, DuVall, Scott L, additional, Fortin, Stephen, additional, Gilbert, James P, additional, Golozar, Asieh, additional, Ide, Joshua, additional, Kanter, Andrew S, additional, Kern, David M, additional, Kim, Chungsoo, additional, Lai, Lana Y H, additional, Li, Chenyu, additional, Liu, Feifan, additional, Lynch, Kristine E, additional, Minty, Evan, additional, Neves, Maria Inês, additional, Ng, Ding Quan, additional, Obene, Tontel, additional, Pera, Victor, additional, Pratt, Nicole, additional, Rao, Gowtham, additional, Rappoport, Nadav, additional, Reinecke, Ines, additional, Saroufim, Paola, additional, Shoaibi, Azza, additional, Simon, Katherine, additional, Suchard, Marc A, additional, Swerdel, Joel N, additional, Voss, Erica A, additional, Weaver, James, additional, Zhang, Linying, additional, Hripcsak, George, additional, and Ryan, Patrick B, additional

Published
2023
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37. Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: an international multi-centre observational cohort study

Author

Tan, Byorn W.L., primary, Tan, Bryce W.Q., additional, Tan, Amelia L.M., additional, Schriver, Emily R., additional, Gutiérrez-Sacristán, Alba, additional, Das, Priyam, additional, Yuan, William, additional, Hutch, Meghan R., additional, García Barrio, Noelia, additional, Pedrera Jimenez, Miguel, additional, Abu-el-rub, Noor, additional, Morris, Michele, additional, Moal, Bertrand, additional, Verdy, Guillaume, additional, Cho, Kelly, additional, Ho, Yuk-Lam, additional, Patel, Lav P., additional, Dagliati, Arianna, additional, Neuraz, Antoine, additional, Klann, Jeffrey G., additional, South, Andrew M., additional, Visweswaran, Shyam, additional, Hanauer, David A., additional, Maidlow, Sarah E., additional, Liu, Mei, additional, Mowery, Danielle L., additional, Batugo, Ashley, additional, Makoudjou, Adeline, additional, Tippmann, Patric, additional, Zöller, Daniela, additional, Brat, Gabriel A., additional, Luo, Yuan, additional, Avillach, Paul, additional, Bellazzi, Riccardo, additional, Chiovato, Luca, additional, Malovini, Alberto, additional, Tibollo, Valentina, additional, Samayamuthu, Malarkodi Jebathilagam, additional, Serrano Balazote, Pablo, additional, Xia, Zongqi, additional, Loh, Ne Hooi Will, additional, Chiudinelli, Lorenzo, additional, Bonzel, Clara-Lea, additional, Hong, Chuan, additional, Zhang, Harrison G., additional, Weber, Griffin M., additional, Kohane, Isaac S., additional, Cai, Tianxi, additional, Omenn, Gilbert S., additional, Holmes, John H., additional, Ngiam, Kee Yuan, additional, Aaron, James R., additional, Agapito, Giuseppe, additional, Albayrak, Adem, additional, Albi, Giuseppe, additional, Alessiani, Mario, additional, Alloni, Anna, additional, Amendola, Danilo F., additional, Angoulvant, François, additional, Anthony, Li L.L.J., additional, Aronow, Bruce J., additional, Ashraf, Fatima, additional, Atz, Andrew, additional, Panickan, Vidul Ayakulangara, additional, Azevedo, Paula S., additional, Balshi, James, additional, Beaulieu-Jones, Brett K., additional, Beaulieu-Jones, Brendin R., additional, Bell, Douglas S., additional, Bellasi, Antonio, additional, Benoit, Vincent, additional, Beraghi, Michele, additional, Bernal-Sobrino, José Luis, additional, Bernaux, Mélodie, additional, Bey, Romain, additional, Bhatnagar, Surbhi, additional, Blanco-Martínez, Alvar, additional, Boeker, Martin, additional, Booth, John, additional, Bosari, Silvano, additional, Bourgeois, Florence T., additional, Bradford, Robert L., additional, Bréant, Stéphane, additional, Brown, Nicholas W., additional, Bruno, Raffaele, additional, Bryant, William A., additional, Bucalo, Mauro, additional, Bucholz, Emily, additional, Burgun, Anita, additional, Cannataro, Mario, additional, Carmona, Aldo, additional, Cattelan, Anna Maria, additional, Caucheteux, Charlotte, additional, Champ, Julien, additional, Chen, Jin, additional, Chen, Krista Y., additional, Cimino, James J., additional, Colicchio, Tiago K., additional, Cormont, Sylvie, additional, Cossin, Sébastien, additional, Craig, Jean B., additional, Cruz-Bermúdez, Juan Luis, additional, Cruz-Rojo, Jaime, additional, Daniar, Mohamad, additional, Daniel, Christel, additional, Devkota, Batsal, additional, Dionne, Audrey, additional, Duan, Rui, additional, Dubiel, Julien, additional, DuVall, Scott L., additional, Esteve, Loic, additional, Estiri, Hossein, additional, Fan, Shirley, additional, Follett, Robert W., additional, Ganslandt, Thomas, additional, García-Barrio, Noelia, additional, Garmire, Lana X., additional, Gehlenborg, Nils, additional, Getzen, Emily J., additional, Geva, Alon, additional, González, Tomás González, additional, Gradinger, Tobias, additional, Gramfort, Alexandre, additional, Griffier, Romain, additional, Griffon, Nicolas, additional, Grisel, Olivier, additional, Guzzi, Pietro H., additional, Han, Larry, additional, Haverkamp, Christian, additional, Hazard, Derek Y., additional, He, Bing, additional, Henderson, Darren W., additional, Hilka, Martin, additional, Honerlaw, Jacqueline P., additional, Huling, Kenneth M., additional, Issitt, Richard W., additional, Jannot, Anne Sophie, additional, Jouhet, Vianney, additional, Kavuluru, Ramakanth, additional, Keller, Mark S., additional, Kennedy, Chris J., additional, Kernan, Kate F., additional, Key, Daniel A., additional, Kirchoff, Katie, additional, Krantz, Ian D., additional, Kraska, Detlef, additional, Krishnamurthy, Ashok K., additional, L'Yi, Sehi, additional, Le, Trang T., additional, Leblanc, Judith, additional, Lemaitre, Guillaume, additional, Lenert, Leslie, additional, Leprovost, Damien, additional, Liu, Molei, additional, Will Loh, Ne Hooi, additional, Long, Qi, additional, Lozano-Zahonero, Sara, additional, Lynch, Kristine E., additional, Mahmood, Sadiqa, additional, Makwana, Simran, additional, Mandl, Kenneth D., additional, Mao, Chengsheng, additional, Maram, Anupama, additional, Maripuri, Monika, additional, Martel, Patricia, additional, Martins, Marcelo R., additional, Marwaha, Jayson S., additional, Masino, Aaron J., additional, Mazzitelli, Maria, additional, Mazzotti, Diego R., additional, Mensch, Arthur, additional, Milano, Marianna, additional, Minicucci, Marcos F., additional, Ahooyi, Taha Mohseni, additional, Moore, Jason H., additional, Moraleda, Cinta, additional, Morris, Jeffrey S., additional, Moshal, Karyn L., additional, Mousavi, Sajad, additional, Murad, Douglas A., additional, Murphy, Shawn N., additional, Naughton, Thomas P., additional, Breda Neto, Carlos Tadeu, additional, Newburger, Jane, additional, Njoroge, Wanjiku F.M., additional, Norman, James B., additional, Obeid, Jihad, additional, Okoshi, Marina P., additional, Olson, Karen L., additional, Orlova, Nina, additional, Ostasiewski, Brian D., additional, Palmer, Nathan P., additional, Paris, Nicolas, additional, Pedrera-Jiménez, Miguel, additional, Pfaff, Ashley C., additional, Pfaff, Emily R., additional, Pillion, Danielle, additional, Pizzimenti, Sara, additional, Priya, Tanu, additional, Prokosch, Hans U., additional, Prudente, Robson A., additional, Prunotto, Andrea, additional, Quirós-González, Víctor, additional, Ramoni, Rachel B., additional, Raskin, Maryna, additional, Rieg, Siegbert, additional, Roig-Domínguez, Gustavo, additional, Rojo, Pablo, additional, Rubio-Mayo, Paula, additional, Sacchi, Paolo, additional, Sáez, Carlos, additional, Salamanca, Elisa, additional, Sanchez-Pinto, L. Nelson, additional, Sandrin, Arnaud, additional, Santhanam, Nandhini, additional, Santos, Janaina C.C., additional, Sanz Vidorreta, Fernando J., additional, Savino, Maria, additional, Schubert, Petra, additional, Schuettler, Juergen, additional, Scudeller, Luigia, additional, Sebire, Neil J., additional, Serrano-Balazote, Pablo, additional, Serre, Patricia, additional, Serret-Larmande, Arnaud, additional, Shah, Mohsin, additional, Hossein Abad, Zahra Shakeri, additional, Silvio, Domenick, additional, Sliz, Piotr, additional, Son, Jiyeon, additional, Sonday, Charles, additional, Sperotto, Francesca, additional, Spiridou, Anastasia, additional, Strasser, Zachary H., additional, Tan, Byorn W.L., additional, Tanni, Suzana E., additional, Taylor, Deanne M., additional, Terriza-Torres, Ana I., additional, Toh, Emma M.S., additional, Torti, Carlo, additional, Trecarichi, Enrico M., additional, Vallejos, Andrew K., additional, Varoquaux, Gael, additional, Vella, Margaret E., additional, Vie, Jill-Jênn, additional, Vitacca, Michele, additional, Wagholikar, Kavishwar B., additional, Waitman, Lemuel R., additional, Wang, Xuan, additional, Wassermann, Demian, additional, Wolkewitz, Martin, additional, Wong, Scott, additional, Xiong, Xin, additional, Ye, Ye, additional, Yehya, Nadir, additional, Zachariasse, Joany M., additional, Zahner, Janet J., additional, Zambelli, Alberto, additional, Zuccaro, Valentina, additional, and Zucco, Chiara, additional

Published
2023
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43. Association of Kidney Comorbidities and Acute Kidney Failure With Unfavorable Outcomes After COVID-19 in Individuals With the Sickle Cell Trait

Author

Verma, Anurag, Huffman, Jennifer E., Gao, Lina, Minnier, Jessica, Wu, Wen-Chih, Cho, Kelly, Ho, Yuk-Lam, Gorman, Bryan R., Pyarajan, Saiju, Rajeevan, Nallakkandi, Garcon, Helene, Joseph, Jacob, McGeary, John E., Suzuki, Ayako, Reaven, Peter D., Wan, Emily S., Lynch, Julie A., Petersen, Jeffrey M., Meigs, James B., Freiberg, Matthew S., Gatsby, Elise, Lynch, Kristine E., Zekavat, Seyedeh Maryam, Natarajan, Pradeep, Dalal, Sharvari, Jhala, Darshana N., Arjomandi, Mehrdad, Bonomo, Robert A., Thompson, Trevor K., Pathak, Gita A., Zhou, Jin J., Donskey, Curtis J., Madduri, Ravi K., Wells, Quinn S., Gelernter, Joel, Huang, Rose D. L., Polimanti, Renato, Chang, Kyong-Mi, Liao, Katherine P., Tsao, Philip S., Sun, Yan V., Wilson, Peter W. F., O’Donnell, Christopher J., Hung, Adriana M., Gaziano, J. Michael, Hauger, Richard L., Iyengar, Sudha K., and Luoh, Shiuh-Wen

Subjects
Black or African American, Hemoglobins, Internal Medicine, COVID-19, Humans, Acute Kidney Injury, Kidney, Original Investigation, Sickle Cell Trait
Abstract

IMPORTANCE: Sickle cell trait (SCT), defined as the presence of 1 hemoglobin beta sickle allele (rs334-T) and 1 normal beta allele, is prevalent in millions of people in the US, particularly in individuals of African and Hispanic ancestry. However, the association of SCT with COVID-19 is unclear. OBJECTIVE: To assess the association of SCT with the prepandemic health conditions in participants of the Million Veteran Program (MVP) and to assess the severity and sequelae of COVID-19. DESIGN, SETTING, AND PARTICIPANTS: COVID-19 clinical data include 2729 persons with SCT, of whom 353 had COVID-19, and 129 848 SCT-negative individuals, of whom 13 488 had COVID-19. Associations between SCT and COVID-19 outcomes were examined using firth regression. Analyses were performed by ancestry and adjusted for sex, age, age squared, and ancestral principal components to account for population stratification. Data for the study were collected between March 2020 and February 2021. EXPOSURES: The hemoglobin beta S (HbS) allele (rs334-T). MAIN OUTCOMES AND MEASURES: This study evaluated 4 COVID-19 outcomes derived from the World Health Organization severity scale and phenotypes derived from International Classification of Diseases codes in the electronic health records. RESULTS: Of the 132 577 MVP participants with COVID-19 data, mean (SD) age at the index date was 64.8 (13.1) years. Sickle cell trait was present in 7.8% of individuals of African ancestry and associated with a history of chronic kidney disease, diabetic kidney disease, hypertensive kidney disease, pulmonary embolism, and cerebrovascular disease. Among the 4 clinical outcomes of COVID-19, SCT was associated with an increased COVID-19 mortality in individuals of African ancestry (n = 3749; odds ratio, 1.77; 95% CI, 1.13 to 2.77; P = .01). In the 60 days following COVID-19, SCT was associated with an increased incidence of acute kidney failure. A counterfactual mediation framework estimated that on average, 20.7% (95% CI, −3.8% to 56.0%) of the total effect of SCT on COVID-19 fatalities was due to acute kidney failure. CONCLUSIONS AND RELEVANCE: In this genetic association study, SCT was associated with preexisting kidney comorbidities, increased COVID-19 mortality, and kidney morbidity.

Published
2022

50. Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS

Author

Kostka,Kristin, Duarte-Salles,Talita, Prats-Uribe,Albert, Sena,Anthony G, Pistillo,Andrea, Khalid,Sara, Lai,Lana YH, Golozar,Asieh, Alshammari,Thamir M, Dawoud,Dalia M, Nyberg,Fredrik, Wilcox,Adam B, Andryc,Alan, Williams,Andrew, Ostropolets,Anna, Areia,Carlos, Jung,Chi Young, Harle,Christopher A, Reich,Christian G, Blacketer,Clair, Morales,Daniel R, Dorr,David A, Burn,Edward, Roel,Elena, Tan,Eng Hooi, Minty,Evan, DeFalco,Frank, de Maeztu,Gabriel, Lipori,Gigi, Alghoul,Heba, Zhu,Hong, Thomas,Jason A, Bian,Jiang, Park,Jimyung, Martínez Roldán,Jordi, Posada,Jose D, Banda,Juan M, Horcajada,Juan P, Kohler,Julianna, Shah,Karishma, Natarajan,Karthik, Lynch,Kristine E, Liu,Li, Schilling,Lisa M, Recalde,Martina, Spotnitz,Matthew, Gong,Mengchun, Matheny,Michael E, Valveny,Neus, Weiskopf,Nicole G, Shah,Nigam, Alser,Osaid, Casajust,Paula, Park,Rae Woong, Schuff,Robert, Seager,Sarah, DuVall,Scott L, You,Seng Chan, Song,Seokyoung, Fernández-Bertolín,Sergio, Fortin,Stephen, Magoc,Tanja, Falconer,Thomas, Subbian,Vignesh, Huser,Vojtech, Ahmed,Waheed-Ul-Rahman, Carter,William, Guan,Yin, Galvan,Yankuic, He,Xing, Rijnbeek,Peter R, Hripcsak,George, Ryan,Patrick B, Suchard,Marc A, Prieto-Alhambra,Daniel, Kostka,Kristin, Duarte-Salles,Talita, Prats-Uribe,Albert, Sena,Anthony G, Pistillo,Andrea, Khalid,Sara, Lai,Lana YH, Golozar,Asieh, Alshammari,Thamir M, Dawoud,Dalia M, Nyberg,Fredrik, Wilcox,Adam B, Andryc,Alan, Williams,Andrew, Ostropolets,Anna, Areia,Carlos, Jung,Chi Young, Harle,Christopher A, Reich,Christian G, Blacketer,Clair, Morales,Daniel R, Dorr,David A, Burn,Edward, Roel,Elena, Tan,Eng Hooi, Minty,Evan, DeFalco,Frank, de Maeztu,Gabriel, Lipori,Gigi, Alghoul,Heba, Zhu,Hong, Thomas,Jason A, Bian,Jiang, Park,Jimyung, Martínez Roldán,Jordi, Posada,Jose D, Banda,Juan M, Horcajada,Juan P, Kohler,Julianna, Shah,Karishma, Natarajan,Karthik, Lynch,Kristine E, Liu,Li, Schilling,Lisa M, Recalde,Martina, Spotnitz,Matthew, Gong,Mengchun, Matheny,Michael E, Valveny,Neus, Weiskopf,Nicole G, Shah,Nigam, Alser,Osaid, Casajust,Paula, Park,Rae Woong, Schuff,Robert, Seager,Sarah, DuVall,Scott L, You,Seng Chan, Song,Seokyoung, Fernández-Bertolín,Sergio, Fortin,Stephen, Magoc,Tanja, Falconer,Thomas, Subbian,Vignesh, Huser,Vojtech, Ahmed,Waheed-Ul-Rahman, Carter,William, Guan,Yin, Galvan,Yankuic, He,Xing, Rijnbeek,Peter R, Hripcsak,George, Ryan,Patrick B, Suchard,Marc A, and Prieto-Alhambra,Daniel

Abstract

Kristin Kostka,1,2 Talita Duarte-Salles,3 Albert Prats-Uribe,4 Anthony G Sena,5,6 Andrea Pistillo,3 Sara Khalid,4 Lana YH Lai,7 Asieh Golozar,8,9 Thamir M Alshammari,10 Dalia M Dawoud,11 Fredrik Nyberg,12 Adam B Wilcox,13,14 Alan Andryc,5 Andrew Williams,15 Anna Ostropolets,16 Carlos Areia,17 Chi Young Jung,18 Christopher A Harle,19 Christian G Reich,1,2 Clair Blacketer,5,6 Daniel R Morales,20 David A Dorr,21 Edward Burn,3,4 Elena Roel,3,22 Eng Hooi Tan,4 Evan Minty,23 Frank DeFalco,5 Gabriel de Maeztu,24 Gigi Lipori,19 Hiba Alghoul,25 Hong Zhu,26 Jason A Thomas,13 Jiang Bian,19 Jimyung Park,27 Jordi Martínez Roldán,28 Jose D Posada,29 Juan M Banda,30 Juan P Horcajada,31 Julianna Kohler,32 Karishma Shah,33 Karthik Natarajan,16,34 Kristine E Lynch,35,36 Li Liu,37 Lisa M Schilling,38 Martina Recalde,3,22 Matthew Spotnitz,14 Mengchun Gong,39 Michael E Matheny,40,41 Neus Valveny,42 Nicole G Weiskopf,21 Nigam Shah,29 Osaid Alser,43 Paula Casajust,42 Rae Woong Park,27,44 Robert Schuff,21 Sarah Seager,1 Scott L DuVall,35,36 Seng Chan You,45 Seokyoung Song,46 Sergio Fernández-Bertolín,3 Stephen Fortin,5 Tanja Magoc,19 Thomas Falconer,16 Vignesh Subbian,47 Vojtech Huser,48 Waheed-Ul-Rahman Ahmed,33,49 William Carter,38 Yin Guan,50 Yankuic Galvan,19 Xing He,19 Peter R Rijnbeek,6 George Hripcsak,16,34 Patrick B Ryan,5,16 Marc A Suchard,51 Daniel Prieto-Alhambra4 1IQVIA, Cambridge, MA, USA; 2OHDSI Center at The Roux Institute, Northeastern University, Portland, ME, USA; 3Fundació Institut Universitari per a la recerca a l’Atenció Primà ria de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain; 4Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK; 5Janssen Research & Development, Titusville, NJ, USA; 6Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands; 7School of Medical Sciences, University of Manchester, Manchester, UK; 8Regeneron Pharmaceuticals, Tarrytown, NY, USA; 9Department of Epidemiolo

Published
2022

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