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| Name | Class |
|---|---|
| National Science and Technology Council, Taiwan | OTHER_GOV |
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This retrospective observational target-trial emulation uses electronic health record data from the TriNetX US Collaborative Network to compare preadmission glucose-lowering treatment strategies in adults with type 2 diabetes hospitalized with pneumonia. Time zero is the date of the index pneumonia admission. The study compares patients with evidence of prescriptions for both a GLP-1 receptor agonist and an SGLT2 inhibitor in the year before admission with patients prescribed a GLP-1 receptor agonist alone, an SGLT2 inhibitor alone, or usual care. Usual care includes metformin, sulfonylureas, or DPP-4 inhibitors without either study class. The primary outcome is a composite of all-cause death, invasive mechanical ventilation, or renal replacement therapy within 30 days of admission, with the individual components and 12-month mortality, major adverse cardiovascular events, and major adverse kidney events also evaluated. Propensity-score methods are used to reduce bias from nonrandom treatment selection.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| GLP-1 RA plus SGLT2i | Adults with type 2 diabetes hospitalized with pneumonia who had prescriptions for both a GLP-1 receptor agonist and an SGLT2 inhibitor in the year before admission. | ||
| GLP-1 RA alone | Adults with type 2 diabetes hospitalized with pneumonia who had a prescription for a GLP-1 receptor agonist, and no prescription for an SGLT2 inhibitor, in the year before admission. | ||
| SGLT2i alone | Adults with type 2 diabetes hospitalized with pneumonia who had a prescription for an SGLT2 inhibitor, and no prescription for a GLP-1 receptor agonist, in the year before admission. | ||
| Usual care | Adults with type 2 diabetes hospitalized with pneumonia who had a prescription for metformin, a sulfonylurea, or a DPP-4 inhibitor, and no prescription for a GLP-1 receptor agonist or an SGLT2 inhibitor, in the year before admission. |
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| Measure | Description | Time Frame |
|---|---|---|
| Composite outcome (all-cause mortality, invasive mechanical ventilation, or renal replacement therapy) | Within 30 days after the index pneumonia admission |
| Measure | Description | Time Frame |
|---|---|---|
| All-cause mortality | Within 30 days after the index pneumonia admission | |
| Invasive mechanical ventilation | Within 30 days after the index pneumonia admission | |
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Inclusion Criteria:
Exclusion Criteria:
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Adults will be selected from the TriNetX US Collaborative Network, a distributed database of de-identified electronic health records contributed by participating healthcare organizations across multiple clinical systems and practice settings. The study population consists of adults with type 2 diabetes who were hospitalized with pneumonia and received routine clinical care in this network, identified through diagnosis records, laboratory data, encounter records, and medication prescribing data. Comparator-specific cohorts were defined within this source population according to glucose-lowering prescriptions recorded in the year before the index admission, to evaluate preadmission GLP-1 receptor agonist- and SGLT2 inhibitor-based treatment strategies.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Pen-Hua Su, PhD | Contact | 886-4-24739595 | 21707 | jen@csh.org.tw |
| Yu-Nan Huang, PhD | Contact | 886-4-24739595 | 21707 | yunanhuang83@gmail.com |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Chung Shan Medical University Hospital | Taichung | Taichung | 402 | Taiwan |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 38663919 | Background | Simms-Williams N, Treves N, Yin H, Lu S, Yu O, Pradhan R, Renoux C, Suissa S, Azoulay L. Effect of combination treatment with glucagon-like peptide-1 receptor agonists and sodium-glucose cotransporter-2 inhibitors on incidence of cardiovascular and serious renal events: population based cohort study. BMJ. 2024 Apr 25;385:e078242. doi: 10.1136/bmj-2023-078242. | |
| 35100355 |
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Individual participant data will not be shared. This retrospective observational study uses de-identified electronic health record data from the TriNetX US Collaborative Network. Access to individual-level data is restricted by data use agreements, institutional policies, and privacy protections. Researchers who meet eligibility requirements may obtain access to similar de-identified data through a TriNetX license or through participating institutions.
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| Renal replacement therapy |
| Within 30 days after the index pneumonia admission |
| Composite outcome (all-cause mortality, major adverse cardiovascular events, or major adverse kidney events) | Through 12 months after the index pneumonia admission |
| All-cause mortality | Through 12 months after the index pneumonia admission |
| Major adverse cardiovascular events | Through 12 months after the index pneumonia admission |
| Major adverse kidney events | Through 12 months after the index pneumonia admission |
| Wright AK, Carr MJ, Kontopantelis E, Leelarathna L, Thabit H, Emsley R, Buchan I, Mamas MA, van Staa TP, Sattar N, Ashcroft DM, Rutter MK. Primary Prevention of Cardiovascular and Heart Failure Events With SGLT2 Inhibitors, GLP-1 Receptor Agonists, and Their Combination in Type 2 Diabetes. Diabetes Care. 2022 Apr 1;45(4):909-918. doi: 10.2337/dc21-1113. |
| 37193038 | Background | Palchuk MB, London JW, Perez-Rey D, Drebert ZJ, Winer-Jones JP, Thompson CN, Esposito J, Claerhout B. A global federated real-world data and analytics platform for research. JAMIA Open. 2023 May 13;6(2):ooad035. doi: 10.1093/jamiaopen/ooad035. eCollection 2023 Jul. |
| 30652541 | Background | Topaloglu U, Palchuk MB. Using a Federated Network of Real-World Data to Optimize Clinical Trials Operations. JCO Clin Cancer Inform. 2018 Dec;2:1-10. doi: 10.1200/CCI.17.00067. |
| 28693043 | Background | VanderWeele TJ, Ding P. Sensitivity Analysis in Observational Research: Introducing the E-Value. Ann Intern Med. 2017 Aug 15;167(4):268-274. doi: 10.7326/M16-2607. Epub 2017 Jul 11. |
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| 26858290 | Background | Austin PC, Lee DS, Fine JP. Introduction to the Analysis of Survival Data in the Presence of Competing Risks. Circulation. 2016 Feb 9;133(6):601-9. doi: 10.1161/CIRCULATIONAHA.115.017719. |
| 21818162 | Background | Austin PC. An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies. Multivariate Behav Res. 2011 May;46(3):399-424. doi: 10.1080/00273171.2011.568786. Epub 2011 Jun 8. |
| 36508210 | Background | Hernan MA, Wang W, Leaf DE. Target Trial Emulation: A Framework for Causal Inference From Observational Data. JAMA. 2022 Dec 27;328(24):2446-2447. doi: 10.1001/jama.2022.21383. |
| 36041749 | Background | Matthews AA, Danaei G, Islam N, Kurth T. Target trial emulation: applying principles of randomised trials to observational studies. BMJ. 2022 Aug 30;378:e071108. doi: 10.1136/bmj-2022-071108. No abstract available. |
| 26994063 | Background | Hernan MA, Robins JM. Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available. Am J Epidemiol. 2016 Apr 15;183(8):758-64. doi: 10.1093/aje/kwv254. Epub 2016 Mar 18. |
| 34302745 | Background | Kosiborod MN, Esterline R, Furtado RHM, Oscarsson J, Gasparyan SB, Koch GG, Martinez F, Mukhtar O, Verma S, Chopra V, Buenconsejo J, Langkilde AM, Ambery P, Tang F, Gosch K, Windsor SL, Akin EE, Soares RVP, Moia DDF, Aboudara M, Hoffmann Filho CR, Feitosa ADM, Fonseca A, Garla V, Gordon RA, Javaheri A, Jaeger CP, Leaes PE, Nassif M, Pursley M, Silveira FS, Barroso WKS, Lazcano Soto JR, Nigro Maia L, Berwanger O. Dapagliflozin in patients with cardiometabolic risk factors hospitalised with COVID-19 (DARE-19): a randomised, double-blind, placebo-controlled, phase 3 trial. Lancet Diabetes Endocrinol. 2021 Sep;9(9):586-594. doi: 10.1016/S2213-8587(21)00180-7. Epub 2021 Jul 21. |
| 22113526 | Background | Coca SG, Singanamala S, Parikh CR. Chronic kidney disease after acute kidney injury: a systematic review and meta-analysis. Kidney Int. 2012 Mar;81(5):442-8. doi: 10.1038/ki.2011.379. Epub 2011 Nov 23. |
| 24988558 | Background | Chawla LS, Eggers PW, Star RA, Kimmel PL. Acute kidney injury and chronic kidney disease as interconnected syndromes. N Engl J Med. 2014 Jul 3;371(1):58-66. doi: 10.1056/NEJMra1214243. No abstract available. |
| 28193610 | Background | Eurich DT, Marrie TJ, Minhas-Sandhu JK, Majumdar SR. Risk of heart failure after community acquired pneumonia: prospective controlled study with 10 years of follow-up. BMJ. 2017 Feb 13;356:j413. doi: 10.1136/bmj.j413. |
| 25602997 | Background | Corrales-Medina VF, Alvarez KN, Weissfeld LA, Angus DC, Chirinos JA, Chang CC, Newman A, Loehr L, Folsom AR, Elkind MS, Lyles MF, Kronmal RA, Yende S. Association between hospitalization for pneumonia and subsequent risk of cardiovascular disease. JAMA. 2015 Jan 20;313(3):264-74. doi: 10.1001/jama.2014.18229. |
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| 28205683 | Background | Violi F, Cangemi R, Falcone M, Taliani G, Pieralli F, Vannucchi V, Nozzoli C, Venditti M, Chirinos JA, Corrales-Medina VF; SIXTUS (Thrombosis-Related Extrapulmonary Outcomes in Pneumonia) Study Group. Cardiovascular Complications and Short-term Mortality Risk in Community-Acquired Pneumonia. Clin Infect Dis. 2017 Jun 1;64(11):1486-1493. doi: 10.1093/cid/cix164. |
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| 22219349 | Background | Corrales-Medina VF, Musher DM, Wells GA, Chirinos JA, Chen L, Fine MJ. Cardiac complications in patients with community-acquired pneumonia: incidence, timing, risk factors, and association with short-term mortality. Circulation. 2012 Feb 14;125(6):773-81. doi: 10.1161/CIRCULATIONAHA.111.040766. Epub 2012 Jan 4. |
| 11996618 | Background | Mortensen EM, Coley CM, Singer DE, Marrie TJ, Obrosky DS, Kapoor WN, Fine MJ. Causes of death for patients with community-acquired pneumonia: results from the Pneumonia Patient Outcomes Research Team cohort study. Arch Intern Med. 2002 May 13;162(9):1059-64. doi: 10.1001/archinte.162.9.1059. |
| 17595354 | Background | Kornum JB, Thomsen RW, Riis A, Lervang HH, Schonheyder HC, Sorensen HT. Type 2 diabetes and pneumonia outcomes: a population-based cohort study. Diabetes Care. 2007 Sep;30(9):2251-7. doi: 10.2337/dc06-2417. Epub 2007 Jun 26. |
| ID | Term |
|---|---|
| D011014 | Pneumonia |
| D003924 | Diabetes Mellitus, Type 2 |
| ID | Term |
|---|---|
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
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