High-dimensional characterization of post-acute sequelae of COVID-19

[1]  Laura Martin,et al.  PD32-09 SOCIOECONOMIC PREDICTORS OF RECEIVING A VAGINAL HYSTERECTOMY COMPARED TO OPEN AND LAPAROSCOPIC/ROBOTIC APPROACHES FOR TREATMENT OF APICAL PROLAPSE: AN ANALYSIS OF OVER 38,000 WOMEN IN THE HEALTHCARE COST AND UTILIZATION PROJECT (HCUP) , 2021 .

[2]  M. Sivan,et al.  NICE guideline on long covid , 2020, BMJ.

[3]  C. Hastie,et al.  Long COVID guidelines need to reflect lived experience , 2020, The Lancet.

[4]  Benjamin Bowe,et al.  Comparative evaluation of clinical manifestations and risk of death in patients admitted to hospital with covid-19 and seasonal influenza: cohort study , 2020, BMJ.

[5]  T. Lancet.  Facing up to long COVID , 2020, The Lancet.

[6]  anonymous.  Meeting the challenge of long COVID , 2020, Nature Medicine.

[7]  Benjamin Bowe,et al.  Acute Kidney Injury in a National Cohort of Hospitalized US Veterans with COVID-19. , 2020, Clinical journal of the American Society of Nephrology : CJASN.

[8]  E. Townsend.  COVID-19 policies in the UK and consequences for mental health , 2020, The Lancet Psychiatry.

[9]  C. del Rio,et al.  Long-term Health Consequences of COVID-19. , 2020, JAMA.

[10]  W. Miao,et al.  A Selective Review of Negative Control Methods in Epidemiology , 2020, Current Epidemiology Reports.

[11]  J. McGill,et al.  Comparative Effectiveness of the Sodium–Glucose Cotransporter 2 Inhibitor Empagliflozin Versus Other Antihyperglycemics on Risk of Major Adverse Kidney Events , 2020, Diabetes Care.

[12]  J. McGill,et al.  Comparative Effectiveness of SGLT2 Inhibitors, GLP-1 Receptor Agonists, DPP-4 Inhibitors, and Sulfonylureas on Risk of Kidney Outcomes: Emulation of a Target Trial Using Health Care Databases , 2020, Diabetes Care.

[13]  L. Leibovici,et al.  Long-term consequences of COVID-19: research needs , 2020, The Lancet Infectious Diseases.

[14]  T. Greenhalgh,et al.  Management of post-acute covid-19 in primary care , 2020, BMJ.

[15]  C. Sudlow,et al.  Distinguishing between direct and indirect consequences of covid-19 , 2020, BMJ.

[16]  S. Lowe,et al.  Lessons from Hurricane Katrina for predicting the indirect health consequences of the COVID-19 pandemic , 2020, Proceedings of the National Academy of Sciences.

[17]  M. Pencina,et al.  Overlap Weighting: A Propensity Score Method That Mimics Attributes of a Randomized Clinical Trial. , 2020, JAMA.

[18]  Elisabeth Mahase.  Covid-19: Mental health consequences of pandemic need urgent research, paper advises , 2020, BMJ.

[19]  Yan Zhao,et al.  Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. , 2020, JAMA.

[20]  Jennifer E. Moore,et al.  Agency for Healthcare Research and Quality , 2020, Definitions.

[21]  Grant S. Fletcher,et al.  Best Definitions of Multimorbidity to Identify Patients With High Health Care Resource Utilization , 2020, Mayo Clinic proceedings. Innovations, quality & outcomes.

[22]  J. Schwartz,et al.  Short term exposure to fine particulate matter and hospital admission risks and costs in the Medicare population: time stratified, case crossover study , 2019, BMJ.

[23]  Benjamin Bowe,et al.  Estimates of all cause mortality and cause specific mortality associated with proton pump inhibitors among US veterans: cohort study , 2019, BMJ.

[24]  Benjamin Bowe,et al.  The 2016 global and national burden of diabetes mellitus attributable to PM2·5 air pollution. , 2018, The Lancet. Planetary health.

[25]  William R. Buckingham,et al.  Making Neighborhood-Disadvantage Metrics Accessible - The Neighborhood Atlas. , 2018, The New England journal of medicine.

[26]  T. Iwashyna,et al.  Using Veterans Affairs Corporate Data Warehouse to identify 30-day hospital readmissions , 2018, Health Services and Outcomes Research Methodology.

[27]  Hong Xian,et al.  Higher blood urea nitrogen is associated with increased risk of incident diabetes mellitus. , 2017, Kidney international.

[28]  Benjamin Bowe,et al.  Risk of death among users of Proton Pump Inhibitors: a longitudinal observational cohort study of United States veterans , 2017, BMJ Open.

[29]  Benjamin Bowe,et al.  Long-term kidney outcomes among users of proton pump inhibitors without intervening acute kidney injury. , 2017, Kidney international.

[30]  Benjamin Bowe,et al.  High Density Lipoprotein Cholesterol and the Risk of All-Cause Mortality among U.S. Veterans. , 2016, Clinical journal of the American Society of Nephrology : CJASN.

[31]  Benjamin Bowe,et al.  Proton Pump Inhibitors and Risk of Incident CKD and Progression to ESRD. , 2016, Journal of the American Society of Nephrology : JASN.

[32]  Benjamin Bowe,et al.  Low levels of high-density lipoprotein cholesterol increase the risk of incident kidney disease and its progression. , 2016, Kidney international.

[33]  Kari Lock Morgan,et al.  Balancing Covariates via Propensity Score Weighting , 2014, 1609.07494.

[34]  V. Valcour,et al.  Polypharmacy, Drug–Drug Interactions, and Potentially Inappropriate Medications in Older Adults with Human Immunodeficiency Virus Infection , 2014, Journal of the American Geriatrics Society.

[35]  Lane F Burgette,et al.  A tutorial on propensity score estimation for multiple treatments using generalized boosted models , 2013, Statistics in medicine.

[36]  M. Lipsitch,et al.  Negative Controls: A Tool for Detecting Confounding and Bias in Observational Studies , 2010, Epidemiology.

[37]  E. Olvey,et al.  Comparison of Critical Drug–Drug Interaction Listings: The Department of Veterans Affairs Medical System and Standard Reference Compendia , 2010, Clinical pharmacology and therapeutics.

[38]  C. Sprung,et al.  Use of the SOFA score to assess the incidence of organ dysfunction/failure in intensive care units: results of a multicenter, prospective study. Working group on "sepsis-related problems" of the European Society of Intensive Care Medicine. , 1998, Critical care medicine.

[39]  J. Vincent,et al.  The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure , 1996, Intensive Care Medicine.

[40]  D. Gunnell,et al.  Mapping population mental health concerns related to COVID-19 and the consequences of physical distancing: a Google trends analysis , 2020, Wellcome open research.

[41]  Fan Li.  Propensity Score Weighting for Causal Inference with Multiple Treatments , 2018 .