scholarly journals Predictors of Rehospitalization and Mortality in Diabetes-Related Hospital Admissions

2021 ◽  
Vol 10 (24) ◽  
pp. 5814
Author(s):  
Milena Kozioł ◽  
Iwona Towpik ◽  
Michał Żurek ◽  
Jagoda Niemczynowicz ◽  
Małgorzata Wasążnik ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Weight Loss ◽  
Iron Deficiency ◽  
Diabetes Complications ◽  
Hospital Admissions ◽  
Deficiency Anemia ◽  
Peripheral Artery ◽  
Artery Disease ◽  
Length Of Hospitalization

The risk factors of rehospitalization and death post-discharge in diabetes-related hospital admissions are not fully understood. To determine them, a population-based retrospective epidemiological survey was performed on diabetes-related admissions from the Polish national database. Logistic regression models were used, in which the dependent variables were rehospitalization due to diabetes complications and death within 90 days after the index hospitalization. In 2017, there were 74,248 hospitalizations related to diabetes. A total of 11.3% ended with readmission. Risk factors for rehospitalization were as follows: age < 35 years; male sex; prior hospitalization due to acute diabetic complications; weight loss; peripheral artery disease; iron deficiency anemia; kidney failure; alcohol abuse; heart failure; urgent, emergency, or weekend admission; length of hospitalization; and hospitalization in a teaching hospital with an endocrinology/diabetology unit. Furthermore, 7.3% of hospitalizations resulted in death within 90 days following discharge. Risk factors for death were as follows: age; neoplastic disease with/without metastases; weight loss; coagulopathy; alcohol abuse; acute diabetes complications; heart failure; kidney failure; iron deficiency anemia; peripheral artery disease; fluid, electrolytes, and acid–base balance disturbances; urgent or emergency and weekend admission; and length of hospitalization. We concluded that of all investigated factors, only hospitalization within an experienced specialist center may reduce the frequency of the assessed outcomes.

scholarly journals Obesity and Cardiovascular Disease: A Scientific Statement From the American Heart Association

Circulation ◽  
2021 ◽  
Author(s):  
Tiffany M. Powell-Wiley ◽  
Paul Poirier ◽  
Lora E. Burke ◽  
Jean-Pierre Després ◽  
Penny Gordon-Larsen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Atrial Fibrillation ◽  
Cardiovascular Disease ◽  
Coronary Artery Disease ◽  
Weight Loss ◽  
Coronary Artery ◽  
Disease Risk ◽  
Artery Disease ◽  
The Impact

The global obesity epidemic is well established, with increases in obesity prevalence for most countries since the 1980s. Obesity contributes directly to incident cardiovascular risk factors, including dyslipidemia, type 2 diabetes, hypertension, and sleep disorders. Obesity also leads to the development of cardiovascular disease and cardiovascular disease mortality independently of other cardiovascular risk factors. More recent data highlight abdominal obesity, as determined by waist circumference, as a cardiovascular disease risk marker that is independent of body mass index. There have also been significant advances in imaging modalities for characterizing body composition, including visceral adiposity. Studies that quantify fat depots, including ectopic fat, support excess visceral adiposity as an independent indicator of poor cardiovascular outcomes. Lifestyle modification and subsequent weight loss improve both metabolic syndrome and associated systemic inflammation and endothelial dysfunction. However, clinical trials of medical weight loss have not demonstrated a reduction in coronary artery disease rates. In contrast, prospective studies comparing patients undergoing bariatric surgery with nonsurgical patients with obesity have shown reduced coronary artery disease risk with surgery. In this statement, we summarize the impact of obesity on the diagnosis, clinical management, and outcomes of atherosclerotic cardiovascular disease, heart failure, and arrhythmias, especially sudden cardiac death and atrial fibrillation. In particular, we examine the influence of obesity on noninvasive and invasive diagnostic procedures for coronary artery disease. Moreover, we review the impact of obesity on cardiac function and outcomes related to heart failure with reduced and preserved ejection fraction. Finally, we describe the effects of lifestyle and surgical weight loss interventions on outcomes related to coronary artery disease, heart failure, and atrial fibrillation.

Clinical phenotypes of atrial fibrillation and risk of mortality: a cluster analysis

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
D Pastori ◽  
E Antonucci ◽  
A Milanese ◽  
F Violi ◽  
P Pignatelli ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Cluster Analysis ◽  
Risk Scores ◽  
Peripheral Artery ◽  
Clinical Phenotypes ◽  
Risk Of Mortality ◽  
All Cause Mortality ◽  
Artery Disease ◽  
Cluster 2

Abstract Background Patients with atrial fibrillation (AF) experience a high mortality rate despite optimal antithrombotic treatment. Characteristics of AF patients at higher mortality risk have been barely described so far and no risk score has been specifically developed at this aim. Furthermore, a clinical approach based on risk scores present some limits such as to not consider some important risk factors for mortality, and many available scores have poor predictive value. Cluster analysis may play a role in overcoming limitations of risk scores, especially in the case of overlapping risk factors. Purpose To identify of clinical phenotypes by using an unbiased statistical approach, such as the cluster analysis. Methods Cluster analysis was used to identify clinical phenotypes of AF patients associated with all-cause mortality in 5,171 AF patients from the START registry. Clinical variables used for the analysis were age, sex, diabetes, previous cerebrovascular events, previous cardiovascular events, heart failure, peripheral artery disease, use of non-vitamin K oral anticoagulants, cancer, pulmonary disease, smoking habit, previous major bleeding. The risk of all-cause mortality in each cluster was analyzed. Results We identified 4 clusters (Figure 1). Cluster 1 was composed by youngest patients, with obesity and paroxysmal AF; Cluster 2 by patients with low cardiovascular risk factors and high proportion of cancer; Cluster 3 by men with diabetes and coronary and peripheral artery disease, a high proportion of thrombocytopenia, and a high use of aspirin, proton pump inhibitors, and statins; Cluster 4 included the oldest patients, mainly women, with previous cerebrovascular disease, persistent/ permanent AF, heart failure, kidney disease and anemia. In this cluster there was the highest use of digoxin and NOACs. During 9856,84 patient/years of observation, 386 deaths (3.92%/year) occurred. Mortality rates significantly increased across clusters: 0.42%/year (cluster 1, reference group), 2.12%/year (cluster 2, adjusted hazard ratio [aHR] 3.306, 95% confidence interval [CI] 1.204–9.077, p=0.020), 4.41%/year (cluster 3, aHR 6.702, 95% CI 2.433–18.461, p&lt;0.001) and 8.71%/year (cluster 4, aHR 8.927, 95% CI 3.238–24.605, p&lt;0.001). Conclusions We identified different clinical phenotypes of AF patients by cluster analysis which were specifically associated with mortality. This approach may help identify patients at higher risk of mortality. Figure 1 Funding Acknowledgement Type of funding source: None

scholarly journals Association of Heart Failure With Outcomes Among Patients With Peripheral Artery Disease: Insights From EUCLID

2021 ◽  
Author(s):  
Marc D. Samsky ◽  
Anne Hellkamp ◽  
William R. Hiatt ◽  
F. Gerry R. Fowkes ◽  
Iris Baumgartner ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Peripheral Artery Disease ◽  
Cardiovascular Events ◽  
Major Adverse Cardiovascular Events ◽  
Peripheral Artery ◽  
Factors Associated ◽  
Artery Disease

Background Peripheral artery disease (PAD) and heart failure (HF) are each independently associated with poor outcomes. Risk factors associated with new‐onset HF in patients with primary PAD are unknown. Furthermore, how the presence of HF is associated with outcomes in patients with PAD is unknown. Methods and Results This analysis examined risk relationships of HF on outcomes in patients with symptomatic PAD randomized to ticagrelor or clopidogrel as part of the EUCLID (Examining Use of Ticagrelor in Peripheral Arterial Disease) trial. Patients were stratified based on presence of HF at enrollment. Cox models were used to determine the association of HF with outcomes. A separate Cox model was used to identify risk factors associated with development of HF during follow‐up. Patients with PAD and HF had over twice the rate of concomitant coronary artery disease as those without HF. Patients with PAD and HF had significantly increased risk of major adverse cardiovascular events (hazard ratio [HR], 1.31; 95% CI, 1.13–1.51) and all‐cause mortality (HR, 1.39; 95% CI, 1.19–1.63). In patients with PAD, the presence of HF was associated with significantly less bleeding (HR, 0.65; 95% CI, 0.45–0.96). Characteristics associated with HF development included age ≥66 (HR, 1.29; 95% CI, 1.18–1.40 per 5 years), diabetes mellitus (HR, 1.85; 95% CI, 1.41–2.43), and weight (bidirectionally associated, ≥76 kg, HR, 0.77; 95% CI, 0.64–0.93; <76 kg, HR, 1.12; 95% CI, 1.07–1.16). Conclusions Patients with PAD and HF have a high rate of coronary artery disease with a high risk for major adverse cardiovascular events and death. These data support the possible need for aggressive treatment of (recurrent) atherosclerotic disease in PAD, especially patients with HF.

scholarly journals Risk Factors and Comorbidities Associated with Diabetic Kidney Disease

2021 ◽  
Vol 12 ◽  
pp. 215013272110485
Author(s):  
Satyajeet Roy ◽  
Olga Schweiker-Kahn ◽  
Behjath Jafry ◽  
Rachel Masel-Miller ◽  
Riya Sam Raju ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Coronary Artery Disease ◽  
Congestive Heart Failure ◽  
Kidney Disease ◽  
Diabetic Kidney Disease ◽  
Peripheral Artery ◽  
Cerebrovascular Accidents ◽  
Patients With Diabetes ◽  
Artery Disease

Introduction/objectives: Diabetic Kidney Disease (DKD) is the leading cause of end-stage kidney disease. Despite optimal glycemic control and blood pressure management, progression to DKD cannot be halted in some patients. We aimed to find the association of modifiable and non-modifiable risk factors and comorbid conditions in patients with DKD. Methods: Retrospective medical record review of adult patients with diabetes mellitus (DM) was performed who visited our internal medicine office between January 1, 2020 and December 31, 2020. Results: Among 728 patients with DM, 471 (64.7%) patients had DKD, and 257 (35.3%) patients were without DKD. Among the group of patients with DKD, the majority were in CKD stage G1A2 (34.6%), followed equally by G2A2 and G3aA1 (16.8% each). Mean age of the patients with DKD was significantly greater than the patients without DKD (69.4 years vs 62.2 years; P < .001). For each unit increase in age, there was a 7.8% increase in the odds of DKD (95% CI 5.3-10.4; P < .001). Women had 2.32 times greater odds of DKD (95% CI, 1.41-3.81; P = .001). We found decreased odds of DKD for those who consumed alcohol moderately (OR 0.612, 95% CI 0.377-0.994; P < .05). Significantly higher frequencies of associations of several comorbid medical conditions were seen in patients with DKD compared to the patients without DKD, such as hypertension (91.9% vs 75.6%), hyperlipidemia (86.6% vs 78.2%), coronary artery disease (39.3% vs 16.8%), cerebrovascular accidents (13.4% vs 7.4%), congestive heart failure (12.9% vs 4.1%), carotid artery stenosis (11.3% vs 2.6%), aortic aneurysm (5.4% vs 2.0%), peripheral artery disease (10.8% vs 3.5%), gout (12.4% vs 5.5%), and osteoarthritis (41.4% vs 31.2%). Conclusions: In patients with diabetes, increasing age, female sex, and lack of moderate alcohol consumption were associated with increased odds of DKD. Higher frequencies of association of hypertension, hyperlipidemia, coronary artery disease, cerebrovascular accidents, congestive heart failure, carotid artery stenosis, aortic aneurysm, peripheral artery disease, gout, and osteoarthritis were also seen in patients with DKD.

scholarly journals Features of acute decompensation of heart failure in patients with type 2 diabetes mellitus with anemia and latent iron deficiency

2021 ◽  
Vol 2 (4) ◽  
pp. 33-42
Author(s):  
A. S. Veklich ◽  
N. A. Koziolova
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Heart Failure ◽  
Iron Deficiency ◽  
Deficiency Anemia ◽  
Type 2 Dm ◽  
Acute Decompensation ◽  
Latent Iron Deficiency ◽  
Prevalence Of Anemia

Objective: to assess the contribution of anemia and latent iron deficiency (LID) to the formation of acute decompensation of chronic heart failure (ADHF) in patients with diabetes mellitus (DM) type 2 in history.Materials and methods: a one‑time screening clinical non‑randomized study was conducted. 98 patients with ADHF were examined according to the criteria for inclusion and non‑inclusion, among which 47 (48%) patients suffered from type 2 DM. Among patients with impaired carbohydrate metabolism, 14 (29.8%) patients had an anemic syndrome verified.Results: the prevalence of anemia among hospitalized patients with ADHF against the background of type 2 DM was 29.8%, LID without anemia – 51.5%. Anemic syndrome in patients with ADHF and type 2 DM was represented by iron deficiency anemia in 85.7% and anemia of chronic conditions in 14.3% of cases. In 2/3 of the patients, anemia corresponded to moderate severity. The relative risk (RR) of the development of ADHF against the background of type 2 DM and anemia increases by 2.4 times, in the presence of LID – by 2.9 times. The presence of coronary artery disease, myocardial infarction in history, atrial fibrillation with a heart rate of more than 110 beats per minute, renal dysfunction, high activity of nonspecific inflammation were risk factors for the formation of ADHF in patients with type 2 DM and anemia. The presence of left ventricular hypertrophy in patients with anemia increased the RR of the development of ADHF by 1.8 times, the presence of chronic kidney disease – by 1.7 times, with an increase in the excretion of albumin/protein in the urine >30 mg/g – by 5.7 times, with tubular dysfunction – by 2.4 times, with an increase in aortic stiffness – by 3.5 times.Conclusion: the prevalence of anemia and LID among patients with ADHF and type 2 DM is high. These conditions were risk factors for the development of ADHF and its progression. ADHF in patients with type 2 DM against the background of anemia and LID was characterized by a more severe course, a more pronounced lesion of the target organs.

scholarly journals Age and multimorbidities as poor prognostic factors for COVID-19 in hemodialysis: a Lebanese national study

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Mabel Aoun ◽  
Rabab Khalil ◽  
Walid Mahfoud ◽  
Haytham Fatfat ◽  
Line Bou Khalil ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Coronary Artery Disease ◽  
Confidence Interval ◽  
Odds Ratio ◽  
Death Rate ◽  
Hemodialysis Patients ◽  
Chronic Hemodialysis ◽  
National Study ◽  
Artery Disease

Abstract Background Hemodialysis patients with COVID-19 have been reported to be at higher risk for death than the general population. Several prognostic factors have been identified in the studies from Asian, European or American countries. This is the first national Lebanese study assessing the factors associated with SARS-CoV-2 mortality in hemodialysis patients. Methods This is an observational study that included all chronic hemodialysis patients in Lebanon who were tested positive for SARS-CoV-2 from 31st March to 1st November 2020. Data on demographics, comorbidities, admission to hospital and outcome were collected retrospectively from the patients’ medical records. A binary logistic regression analysis was performed to assess risk factors for mortality. Results A total of 231 patients were included. Mean age was 61.46 ± 13.99 years with a sex ratio of 128 males to 103 females. Around half of the patients were diabetics, 79.2% presented with fever. A total of 115 patients were admitted to the hospital, 59% of them within the first day of diagnosis. Hypoxia was the major reason for hospitalization. Death rate was 23.8% after a median duration of 6 (IQR, 2 to 10) days. Adjusted regression analysis showed a higher risk for death among older patients (odds ratio = 1.038; 95% confidence interval: 1.013, 1.065), patients with heart failure (odds ratio = 4.42; 95% confidence interval: 2.06, 9.49), coronary artery disease (odds ratio = 3.27; 95% confidence interval: 1.69, 6.30), multimorbidities (odds ratio = 1.593; 95% confidence interval: 1.247, 2.036), fever (odds ratio = 6.66; 95% confidence interval: 1.94, 27.81), CRP above 100 mg/L (odds ratio = 4.76; 95% confidence interval: 1.48, 15.30), and pneumonia (odds ratio = 19.18; 95% confidence interval: 6.47, 56.83). Conclusions This national study identified older age, coronary artery disease, heart failure, multimorbidities, fever and pneumonia as risk factors for death in patients with COVID-19 on chronic hemodialysis. The death rate was comparable to other countries and estimated at 23.8%.

Sign in / Sign up

Export Citation Format

Share Document