scholarly journals Prediction of Sudden Health Crises Owing to Congestive Heart Failure with Deep Learning Models

2021 ◽  
Vol 35 (1) ◽  
pp. 71-76
Author(s):  
Shaik Shabbeer ◽  
Edara Srinivasa Reddy
Keyword(s):  
Heart Failure ◽  
Congestive Heart Failure ◽  
Missing Values ◽  
Medical Knowledge ◽  
Data Generation ◽  
Clinical Disorder ◽  
Proposed Model ◽  
Service Efficiency ◽  
Mlp Model ◽  
Mimic Iii

Artificial Intelligence (AI) has its roots in every area in the present scenario. Healthcare is one of the markets in which AI has greatly grown in recent years. The tremendous increase in health data generation and the substantial evolution of the robust data analysis tools have contributed to AI improvement in health care and research, leading to increased service efficiency. Health reporting is stored as Electronic Health Records (EHR), providing information on the patients sought temporarily. EHR data have different issues, such as heterogeneity, missing values, distortion, noise, time, etc. This study reflects the irregularity of appointment that refers to the irregular timing of the operations (patient visits). Congestive heart failure (CHF) is a grave clinical disorder caused by an insufficient blood supply in the bloodstream owing to a heart muscle dysfunction. Most people suffer from CHF which result in death or immediate recognition. A multi-layer perceptron (MLP) model was used to treat visit stage abnormalities. The studies on the Medical Knowledge Mart for Intensive Care-III (MIMIC-III) dataset and the findings obtained indicate that the lack of a visit stage affects the estimation of the clinical outcome. It has been demonstrated that the readmission and reduction of the prediction model for mortality conditions is beneficial. Compared with baseline models, the proposed model is successful.

scholarly journals Prevalence and Mortality of Hypochloremia Among Patients Suffering From Coronary Artery Disease and Congestive Heart Failure: An Analysis of Patients in CIN-I and MIMIC-III Databases

2021 ◽  
Vol 8 ◽  
Author(s):  
Haozhang Huang ◽  
Jin Liu ◽  
Yan Liang ◽  
Kunming Bao ◽  
Linfang Qiao ◽  
...  
Keyword(s):  
Heart Failure ◽  
Coronary Artery Disease ◽  
Congestive Heart Failure ◽  
Coronary Artery ◽  
Mortality Risk ◽  
Medical Information ◽  
Short Term ◽  
Artery Disease ◽  
Mimic Iii

Background: Hypochloremia is an independent predictor for mortality in patients with coronary artery disease (CAD) but whether the same correlation exists in CAD patients with congestive heart failure (CHF) is unclear.Methods: This is an analysis of data stored in the databases of the CIN-I [a registry of Cardiorenal Improvement (NCT04407936) in China from January 2007 to December 2018] and Medical Information Mart for Intensive Care (MIMIC)-III. CAD patients with CHF were included. The outcome measures were 90-day all-cause mortality (ACM) and long-term ACM.Results: Data from 8,243 CAD patients with CHF were analyzed. We found that 10.2% of the study population had hypochloremia (Cl− <98 mmol/L) in CIN-I (n = 4,762) and 20.1% had hypochloremia in MIMIC-III (n = 3,481). Patients suffering from hypochloremia were, in general, older and had a higher prevalence of comorbidities. After adjustment for confounders, hypochloremia remained a significant predictor of short-term mortality risk [90-day ACM: adjusted hazard ratio (aHR), 1.69; 95% CI, 1.27–2.25; P < 0.001 in CIN-I, and 1.36 (1.17–1.59); P < 0.001 in MIMIC-III]. Hypochloremia was also associated with long-term mortality [aHR, 1.26; 95% CI, 1.06–1.50; P = 0.009 in CIN-I, and 1.48 (1.32–1.66); P < 0.001 in MIMIC-III]. Prespecified subgroup analyses revealed an association of hypochloremia with long-term ACM to be attenuated slightly in the women of the two databases (P interaction < 0.05).Conclusions: Hypochloremia is independently associated with higher short-term and long-term ACM. Further studies are needed to determine if early preventive measurements and active intervention of hypochloremia can reduce the mortality risk of CAD patients with CHF.

scholarly journals Congestive heart failure in cattle; etiology, clinical, and ultrasonographic findings in 67 cases

2020 ◽  
Vol 13 (6) ◽  
pp. 1145-1152
Author(s):  
Mustafa Abd El Raouf ◽  
Magdy Elgioushy ◽  
Shimaa A. Ezzeldein
Keyword(s):  
Heart Failure ◽  
Congestive Heart Failure ◽  
Clinical Findings ◽  
Control Group ◽  
Good Tool ◽  
Ultrasonographic Examination ◽  
Clinical Disorder ◽  
History Of ◽  
Loss Of Appetite ◽  
The Relationship

Background and Aim: Congestive heart failure (CHF) is a clinical disorder that results from cardiac dysfunction with subsequent fatal outcomes in most cases. Several diseases are incriminated in occurrence of CHF. Therefore, the aims of this study were to identify CHF etiology and associated clinical findings in 67 cows and to investigate the relationship between CHF and the other body organs using ultrasonographic examination. Materials and Methods: Sixty-seven cows affected by CHF admitted to the clinic with a history of loss of appetite, decrease in milk production, constipation, and brisket edema were thoroughly investigated clinically and ultrasonographically. In addition, ten apparently healthy cows were used as a control group. Results: Clinically, cows with CHF manifested jugular engorgement and pulsation (88.1%), brisket and/or intermandibular edema (77.6%), and muffled heart sounds (76.1%). Based on the ultrasonographic examination, traumatic pericarditis (82.1%) was the most prevalent etiology of CHF. Extracardiac etiology of CHF identified were exudative pleurisy (10.4%) and mediastinal abscesses (7.5%). Hepatomegaly (88.1%) and pleural effusion (61.2%) were the most documented consequences. Conclusion: Both cardiac and extracardiac diseases could be associated with CHF in cattle. Ultrasonographic changes in liver and pleura secondary to CHF were the most common findings. Ultrasonography is a good tool for the diagnosis of cardiac and extracardiac etiologies of CHF in cattle.

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