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Association of anti-diabetic drugs and covid-19 outcomes in patients with diabetes mellitus type 2 and chronic kidney disease: Nationwide registry analysis

Dimnjaković et al., PLOS ONE, doi:10.1371/journal.pone.0301056
Mar 2024  
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Hospitalization 23% Improvement Relative Risk Case 12% Metformin  Dimnjaković et al.  Prophylaxis Is prophylaxis with metformin beneficial for COVID-19? Retrospective 7,539 patients in Croatia Lower hospitalization (p=0.0041) and fewer cases (p=0.04) c19early.org Dimnjaković et al., PLOS ONE, March 2024 Favorsmetformin Favorscontrol 0 0.5 1 1.5 2+
Metformin for COVID-19
3rd treatment shown to reduce risk in July 2020, now with p < 0.00000000001 from 99 studies.
No treatment is 100% effective. Protocols combine treatments.
5,100+ studies for 112 treatments. c19early.org
Retrospective 7,539 patients with diabetes mellitus type 2 and chronic kidney disease in Croatia showing lower risk of SARS-CoV-2 infection with SGLT-2 inhibitors, metformin, and repaglinide use, and lower risk of COVID-19 hospitalization with SGLT-2 inhibitors and metformin use.
risk of hospitalization, 23.1% lower, OR 0.77, p = 0.004, treatment 2,843, control 4,475, adjusted per study, multivariable, RR approximated with OR.
risk of case, 12.5% lower, OR 0.88, p = 0.04, treatment 2,843, control 4,475, adjusted per study, multivariable, RR approximated with OR.
Effect extraction follows pre-specified rules prioritizing more serious outcomes. Submit updates
Dimnjaković et al., 27 Mar 2024, retrospective, Croatia, peer-reviewed, 7 authors. Contact: hana.brborovic@gmail.com.
This PaperMetforminAll
Association of anti-diabetic drugs and covid-19 outcomes in patients with diabetes mellitus type 2 and chronic kidney disease: Nationwide registry analysis
Jelena Dimnjaković, Tamara Buble, Pero Ivanko, Tamara Poljičanin, Sandra Karanović Štambuk, Hana Brborović, Ognjen Brborović
PLOS ONE, doi:10.1371/journal.pone.0301056
Introduction Patients with diabetes mellitus type 2 and chronic kidney disease (T2DM-CKD) have a 5 times higher risk of developing severe SARS-CoV-2 infection than those without these 2 diseases. The goal of this study is to provide information on T2DM-CKD and COVID-19 outcomes, with an emphasis on the association with anti-diabetic medications. Methodology Study is designed as a retrospective cohort analysis covering the years 2020 and 2021. Data from the National Diabetes Registry (CroDiab) were linked to hospital data, primary healthcare data, Causes of Death Registry data, the SARS-CoV-2 vaccination database, and the SARS-CoV-2 test results database. Study outcomes were cumulative incidence of SARS-CoV-2 positivity, COVID-19 hospitalizations, and COVID-19 deaths. For outcome predictors, logistic regression models were developed. Results Of 231 796 patients with diabetes mellitus type 2 in the database, 7 539 were T2DM-CKD (3.25%). The 2-year cumulative incidences of all three studies' outcomes were higher in T2DM-CKD than in diabetes patients without CKD (positivity 18.1% vs. 14.4%; hospitalization 9.7% vs. 4.2%; death 3.3% vs. 1.1%, all p<0.001). For COVID-19 hospitalization, protective factors were SGLT-2 inhibitors use (OR 0.430; 95%CI 0.257-0.719) and metformin use (OR 0.769; 95% CI 0.643-0.920), risk factors were insulin use (1.411;) and sulfonylureas use (OR 1.226;. For SARS-CoV-2 positivity
Supporting information S1
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The goal of this study is to provide information on T2DM-CKD and COVID-19 outcomes, ' 'with an emphasis on the association with anti-diabetic medications.</jats:p>\n' '</jats:sec>\n' '<jats:sec id="sec002">\n' '<jats:title>Methodology</jats:title>\n' '<jats:p>Study is designed as a retrospective cohort analysis covering the years 2020 and ' '2021. Data from the National Diabetes Registry (CroDiab) were linked to hospital data, ' 'primary healthcare data, Causes of Death Registry data, the SARS-CoV-2 vaccination database, ' 'and the SARS-CoV-2 test results database. Study outcomes were cumulative incidence of ' 'SARS-CoV-2 positivity, COVID-19 hospitalizations, and COVID-19 deaths. For outcome ' 'predictors, logistic regression models were developed.</jats:p>\n' '</jats:sec>\n' '<jats:sec id="sec003">\n' '<jats:title>Results</jats:title>\n' '<jats:p>Of 231 796 patients with diabetes mellitus type 2 in the database, 7 539 were ' 'T2DM-CKD (3.25%). The 2-year cumulative incidences of all three studies’ outcomes were higher ' 'in T2DM-CKD than in diabetes patients without CKD (positivity 18.1% vs. 14.4%; ' 'hospitalization 9.7% vs. 4.2%; death 3.3% vs. 1.1%, all p&lt;0.001). For COVID-19 ' 'hospitalization, protective factors were SGLT-2 inhibitors use (OR 0.430; 95%CI 0.257–0.719) ' 'and metformin use (OR 0.769; 95% CI 0.643–0.920), risk factors were insulin use (1.411; 95%CI ' '1.167–1.706) and sulfonylureas use (OR 1.226; 95% CI 1.027–1.464). For SARS-CoV-2 positivity ' 'protective factors were SGLT-2 inhibitors (0.607; 95% CI 0.448–0.823), repaglinide use (OR ' '0.765; 95% CI 0.593–0.986) and metformin use (OR 0.857; 95% CI 0.770–0.994). DPP-4 inhibitors ' 'showed a non-significant decrease in risk for COVID-19 death (OR 0.761; 95% CI ' '0.568–1.019).</jats:p>\n' '</jats:sec>\n' '<jats:sec id="sec004">\n' '<jats:title>Conclusion</jats:title>\n' '<jats:p>T2DM-CKD are heavily burdened by COVID-19 disease. Our results suggest no association ' 'between antidiabetic drugs and COVID-19 death outcome while SGLT-2 and metformin show to be ' 'protective against COVID-19 hospitalization and infection, repaglinide against infection, and ' 'insulin and sulfonylureas show to be risk factors for COVID-19 hospitalization and infection. 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Methods Inf Med'}, { 'key': 'pone.0301056.ref057', 'doi-asserted-by': 'crossref', 'first-page': '704807', 'DOI': '10.3389/fcdhc.2021.704807', 'article-title': 'COVID-19 Pandemic Influence on Diabetes Management in Croatia.', 'volume': '2', 'author': 'I Cerovečki', 'year': '2021', 'journal-title': 'Front Clin Diabetes Healthc'}], 'container-title': 'PLOS ONE', 'original-title': [], 'language': 'en', 'link': [ { 'URL': 'https://dx.plos.org/10.1371/journal.pone.0301056', 'content-type': 'unspecified', 'content-version': 'vor', 'intended-application': 'similarity-checking'}], 'deposited': { 'date-parts': [[2024, 3, 27]], 'date-time': '2024-03-27T17:48:41Z', 'timestamp': 1711561721000}, 'score': 1, 'resource': {'primary': {'URL': 'https://dx.plos.org/10.1371/journal.pone.0301056'}}, 'subtitle': [], 'editor': [{'given': 'Timotius Ivan', 'family': 'Hariyanto', 'sequence': 'first', 'affiliation': []}], 'short-title': [], 'issued': {'date-parts': [[2024, 3, 27]]}, 'references-count': 57, 'journal-issue': {'issue': '3', 'published-online': {'date-parts': [[2024, 3, 27]]}}, 'URL': 'http://dx.doi.org/10.1371/journal.pone.0301056', 'relation': {}, 'ISSN': ['1932-6203'], 'subject': ['Multidisciplinary'], 'container-title-short': 'PLoS ONE', 'published': {'date-parts': [[2024, 3, 27]]}}
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Please send us corrections, updates, or comments. c19early involves the extraction of 100,000+ datapoints from thousands of papers. Community updates help ensure high accuracy. Treatments and other interventions are complementary. All practical, effective, and safe means should be used based on risk/benefit analysis. No treatment or intervention is 100% available and effective for all current and future variants. We do not provide medical advice. Before taking any medication, consult a qualified physician who can provide personalized advice and details of risks and benefits based on your medical history and situation. FLCCC and WCH provide treatment protocols.
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