82306a7854a93f6aa3e22ad474f3a18f 269624.pdf 78bfaffc3167244f91395dca5c83ef76792340c3 269624.pdf f67c79f7e5cf6422277207a55d51f0409c345f2de737d982d153f8f3bf319977 269624.pdf Title: Association of the KDIGO Risk Classification with the Prevalence of Heart Failure in Patients with Type 2 Diabetes Subject: The objectives of this study were to determine the main characteristics associated with the presence of heart failure (HF) in patients with type 2 diabetes (T2DM), and specifically to assess the association of the risk classification proposed by the Kidney Disease Improving Global Outcomes (KDIGO) guidelines with HF. The DIABET-IC study is a multicentre, observational, prospective and analytical study in T2DM patients recruited in Spanish hospitals. This work, which features a cross-sectional design, has been conducted with the data obtained at the inclusion visit. The main dependent variable analysed was the presence of HF. The predictive variables evaluated were the demography, clinic, laboratory testing (including natriuretic peptides) and echocardiography. Patients were classified according to the number of vascular territories with atherosclerotic involvement and the KDIGO risk category. Multivariate logistic regression models were performed to determine the risk posed by the various baseline variables to present HF at the time of study inclusion. The study included 1517 patients from 58 hospitals, with a mean age of 67.3 (standard deviation (SD): 10) years, out of which 33% were women. The mean DM duration was 14 (SD: 11) years. The prevalence of HF was 37%. In a multivariate analysis, the independent predictors of HF were increased age (odds ratio (OR) per 1 year = 1.02; p = 0.006), decreased systolic blood pressure (OR per 1 mmHg = 0.98; p < 0.001), decreased haemoglobin (OR per 1 g/dL = 0.86; p < 0.001), the presence of obstructive sleep apnoea (OR = 1.61; p = 0.006), the absence of hepatic steatosis (OR = 0.59; p = 0.016), the severity of atherosclerotic involvement (OR 1 territory = 1.38 and OR > 1 territory = 2.39; p = 0.02 and p < 0.001 respectively) and the KDIGO risk classification (high-risk OR = 2.46 and very high-risk OR = 3.39; p < 0.001 for both). The KDIGO risk classification is useful to screen for the presence of HF in T2DM patients. Therefore, we believe that it is necessary to carry out a systematic screening for HF in the high- and very high-risk KDIGO categories. Keywords: type 2 diabetes; cardiovascular disease; heart failure; KDIGO risk category Author: José Antonio Gimeno-Orna, Luis Rodríguez-Padial, Manuel Anguita-Sánchez, Vivencio Barrios, Javier Muñiz and Antonio Pérez Creator: LaTeX with hyperref Producer: pdfTeX-1.40.21 CreationDate: Tue Oct 12 08:23:06 2021 CEST ModDate: Tue Oct 12 08:30:29 2021 CEST Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 12 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 883912 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- BAMNYG+VnURWPalladioL Type 1 Custom yes yes no 10 0 OYVRAO+URWPalladioL-Ital Type 1 Custom yes yes no 15 0 CBWVJB+URWPalladioL-Bold Type 1 Custom yes yes no 20 0 ZTUKAY+URWPalladioL-Roma Type 1 Custom yes yes no 24 0 IOJCNK+VnURWPalladioL-Bold Type 1 Custom yes yes no 28 0 XPUSBJ+TimesNewRomanPS-BoldItalicMT Type 1C WinAnsi yes yes no 36 0 BSDWLC+TimesNewRomanPSMT Type 1C WinAnsi yes yes no 39 0 MCBCCI+SourceSansRoman-Regular Type 1C Custom yes yes no 61 0 MCBCCM+SourceSansRoman.613wght Type 1C Custom yes yes no 65 0 MCBCCO+SourceSansRoman-Bold Type 1C Custom yes yes no 69 0 CXYWJR+CMSY10 Type 1 Builtin yes yes no 84 0 KMCKEA+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 97 0 KMCKED+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 100 0 KMCKEE+PalatinoLinotype CID TrueType Identity-H yes yes yes 103 0 KMCKEF+PalatinoLinotype TrueType WinAnsi yes yes no 109 0 KMCKLF+PalatinoLinotype,BoldItalic TrueType WinAnsi yes yes no 112 0 QLBIEB+URWPalladioL-BoldItal Type 1 Custom yes yes no 119 0 KMCKEA+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 132 0 KMCKED+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 135 0 KMCKEF+PalatinoLinotype TrueType WinAnsi yes yes no 138 0 KMCKLF+PalatinoLinotype,BoldItalic TrueType WinAnsi yes yes no 141 0 Jhove (Rel. 1.22.1, 2019-04-17) Date: 2023-05-27 03:16:39 CEST RepresentationInformation: 269624.pdf ReportingModule: PDF-hul, Rel. 1.12.1 (2019-04-17) LastModified: 2023-03-31 12:04:39 CEST Size: 883912 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 261 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseNone Outlines: Item: Title: Introduction Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@44c8afef Item: Title: Material and Methods Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@7b69c6ba Children: Item: Title: Design Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@46daef40 Item: Title: Patients Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@12f41634 Item: Title: Primary Dependent Variable Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@13c27452 Item: Title: Variables Obtained at Inclusion Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@262b2c86 Item: Title: Statistical Methods Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@371a67ec Item: Title: Results Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@5ed828d Item: Title: Discussion Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@50d0686 Item: Title: References Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@7a3d45bd Info: Title: Association of the KDIGO Risk Classification with the Prevalence of Heart Failure in Patients with Type 2 Diabetes Author: José Antonio Gimeno-Orna, Luis Rodríguez-Padial, Manuel Anguita-Sánchez, Vivencio Barrios, Javier Muñiz and Antonio Pérez Subject: The objectives of this study were to determine the main characteristics associated with the presence of heart failure (HF) in patients with type 2 diabetes (T2DM), and specifically to assess the association of the risk classification proposed by the Kidney Disease Improving Global Outcomes (KDIGO) guidelines with HF. The DIABET-IC study is a multicentre, observational, prospective and analytical study in T2DM patients recruited in Spanish hospitals. This work, which features a cross-sectional design, has been conducted with the data obtained at the inclusion visit. The main dependent variable analysed was the presence of HF. The predictive variables evaluated were the demography, clinic, laboratory testing (including natriuretic peptides) and echocardiography. Patients were classified according to the number of vascular territories with atherosclerotic involvement and the KDIGO risk category. Multivariate logistic regression models were performed to determine the risk posed by the various baseline variables to present HF at the time of study inclusion. The study included 1517 patients from 58 hospitals, with a mean age of 67.3 (standard deviation (SD): 10) years, out of which 33% were women. The mean DM duration was 14 (SD: 11) years. The prevalence of HF was 37%. In a multivariate analysis, the independent predictors of HF were increased age (odds ratio (OR) per 1 year = 1.02; p = 0.006), decreased systolic blood pressure (OR per 1 mmHg = 0.98; p < 0.001), decreased haemoglobin (OR per 1 g/dL = 0.86; p < 0.001), the presence of obstructive sleep apnoea (OR = 1.61; p = 0.006), the absence of hepatic steatosis (OR = 0.59; p = 0.016), the severity of atherosclerotic involvement (OR 1 territory = 1.38 and OR > 1 territory = 2.39; p = 0.02 and p < 0.001 respectively) and the KDIGO risk classification (high-risk OR = 2.46 and very high-risk OR = 3.39; p < 0.001 for both). The KDIGO risk classification is useful to screen for the presence of HF in T2DM patients. Therefore, we believe that it is necessary to carry out a systematic screening for HF in the high- and very high-risk KDIGO categories. 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