Background: Increased risk for CHF in persons with type 2 diabetes is well established. Our objectives were to estimate the CHF risk associated with specific therapies for diabetes and to determine the differences in incidence rates of CHF associated with adding various antidiabetic agents.
Methods: Subjects were members of the Kaiser Permanente Northwest (KPNW) diabetes registry as of 1 January 1998, with no prior history of CHF (n = 8063). We identified their therapy as of that date and then defined the start of the subject study period as the date when their drug regimen changed, either by switching to or by adding another antidiabetic drug. We defined the new therapy as the index therapy and the date of initiating the new therapy as the index date. Follow-up on the patients was done until the index therapy was discontinued or changed, or until 31 December 2002, whichever came earlier. We calculated the incidence rate of CHF in patients on various therapeutic regimens adjusting for age, gender, diabetes duration, existing ischemic heart disease, hypertension, renal insufficiency and glycemic control (HbA(1c)).
Results: CHF incidence rates were highest in index therapy categories that included insulin and lowest in regimens that included metformin. When insulin was added to an initial therapy, CHF incidence was increased 2.33 times (p < 0.0001) and 2.66 times (p < 0.0001) compared to the addition of sulphonylurea or metformin respectively.
Conclusions: Our findings support the theory that elevated serum insulin levels promote the development of cardiac disease. Consistent with the UKPDS, metformin may offer some protection from incident CHF relative to sulphonylurea or insulin.
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http://dx.doi.org/10.1002/dmrr.480 | DOI Listing |
Clin Cardiol
January 2025
General Practice, Chengde Central Hospital, Chengde, China.
Objective: To evaluate the clinical efficacy and safety of noninvasive positive pressure ventilation combined with pressure support ventilation (NPPV-PSV) in the treatment of chronic heart failure (CHF) through a meta-analysis.
Methods: A systematic search was conducted using PubMed, Embase, Web of Science, Cochrane Library, CNKI and Wanfang databases to find randomized controlled trials and cohort studies on NPPV-PSV treatment for CHF. The period of search was set from inception until 2024.
Eur J Med Res
January 2025
Medical Big Data Research Center, Medical Innovation Research Division, Chinese PLA General Hospital, 28 Fuxing RD., Beijing, 100853, China.
Background: Chronic kidney disease (CKD) carries the highest population attributable risk for mortality among all comorbidities in chronic heart failure (CHF). No studies about the association between inferior vena cava (IVC) diameter and all-cause mortality in patients with the comorbidity of CKD and CHF has been published.
Methods: In this retrospective cohort study, a total of 1327 patients with CHF and CKD were included.
Cardiovasc Diabetol
January 2025
Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No. 1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Background: Insulin resistance proxy indicators are significantly associated with cardiovascular disease (CVD) and diabetes. However, the correlations between the estimated glucose disposal rate (eGDR) index and CVD and its subtypes have yet to be thoroughly researched.
Methods: 10,690 respondents with diabetes and prediabetes from the NHANES 1999-2016 were enrolled in the study.
Zhongguo Zhong Yao Za Zhi
December 2024
School of Integrated Chinese Medicine and Western Medicine, Anhui University of Chinese Medicine Hefei 230012, China Anhui Province Key Laboratory of Chinese Medicinal Formula Hefei 230012, China.
This study aims to investigate the effect of Linggui Zhugan Decoction(LGZGD) on autophagy in the mouse model of chronic heart failure(CHF) induced by myocardial infarction(MI), as well as the regulatory effect of LGZGD on the hypoxia-inducible factor-1α(HIF-1α)/heme oxygenase-1(HO-1) signaling pathway, based on bioinformatics and animal experiments. The active ingredients and corresponding targets of LGZGD were retrieved from the Traditional Chinese Medicine Systems Pharmacology and Analysis Database, and GEO, GeneCards, and DisGeNET were searched for the disease targets. Cytoscape was used to establish a "drug-component-target" network.
View Article and Find Full Text PDFJAMIA Open
February 2025
Department of Medicine, University of Wisconsin-Madison, Madison, WI 53792, United States.
Objective: To evaluate large language models (LLMs) for pre-test diagnostic probability estimation and compare their uncertainty estimation performance with a traditional machine learning classifier.
Materials And Methods: We assessed 2 instruction-tuned LLMs, Mistral-7B-Instruct and Llama3-70B-chat-hf, on predicting binary outcomes for Sepsis, Arrhythmia, and Congestive Heart Failure (CHF) using electronic health record (EHR) data from 660 patients. Three uncertainty estimation methods-Verbalized Confidence, Token Logits, and LLM Embedding+XGB-were compared against an eXtreme Gradient Boosting (XGB) classifier trained on raw EHR data.
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