Association between Anemia with or without Renal Dysfunction and Rehospitalization among Systolic Heart Failure Patients, Medina, Saudi Arabia

Author(s):  
Raneem Alraheili ◽  
Bayan Al-Alawi ◽  
Mohammad Khalifah ◽  
Mohammed Saeed ◽  
Mansour Nozha ◽  
...  
Author(s):  
Md Sheikh ◽  
Manahel Alotaibi ◽  
Nouf Almutairi ◽  
Eid Aljohani ◽  
Omar Alruwaili ◽  
...  

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Mohammed Siddiqui ◽  
Salpy V Pamboukian ◽  
Jose A Tallaj ◽  
Michael Falola ◽  
Sula Mazimba

Background: Reducing 30 day readmission rates for patients with heart failure (HF) has been a recent focus of lowering health care expenditures. Hemodynamic profiles (HP) have been associated with clinical outcomes in chronic systolic HF. The relationship of HP to outcomes in acute decompensated diastolic HF (DHF) has not been defined. Methods: This case-control study of 1892 DHF patients discharged alive from an academic hospital between 2002-2012 with left ventricular function greater or equal to 45% were categorized into 4 groups: Profile A, no evidence of congestion and hypoperfusion (dry-warm); Profile B, congestion with adequate perfusion (wet-warm); Profile C, congestion with hypoperfusion (wet-cold); and Profile L, hypoperfusion without congestion (dry-cold). All cause readmissions at 30 days and 1 year and mortality at 30 days and 1 year were examined. Statistical analysis using multivariable Cox Proportional hazard model was performed adjusting for demographic, clinical, care and hospital characteristics. Results: Of the 1892 patients, 1196 (63%) were females; mean age was 68 (±14) years. There were 724(38%), 1000 (53%), 88(5%) and 80 (4%) patients in the hemodynamic profiles A, B, C and L respectively. Profiles B and C were associated with an increased risk for 30-day all-cause HF readmission compared to profiles A and L: Hazard ratio (HR) [1.38 (95% C.I 1.17-1.61)], [1.39 (95% C.I 1.18-1.62)] for B and C profiles respectively. Profiles C and L were associated with increased mortality at 1 year: HR [1.46 (95% CI 1.06-1.89)] and [1.31 (95% CI 1.01-1.64)] for A and L profiles respectively (Table). Conclusions: Clinical assessment of HP can help identify DHF patients at increased risk of readmission and mortality, similar to systolic heart failure patients.


2010 ◽  
Vol 7 (12) ◽  
pp. 3991-3996 ◽  
Author(s):  
Kathy Hebert ◽  
Jatin Anand ◽  
Pat Trahan ◽  
Maria Delgado ◽  
Joseph Greene ◽  
...  

CHEST Journal ◽  
2005 ◽  
Vol 128 (4) ◽  
pp. 291S
Author(s):  
Jun R. Chiong ◽  
Binu Jacob ◽  
Robert F. Percy ◽  
Hector P. Sanchez ◽  
Anabel C. Castro ◽  
...  

2012 ◽  
Vol 19 (6) ◽  
pp. 612-617 ◽  
Author(s):  
Karla Balderas-Munoz ◽  
Lilia Castillo-Martínez ◽  
Arturo Orea-Tejeda ◽  
Oscar Infante-Vázquez ◽  
Marcelo Utrera-Lagunas ◽  
...  

2020 ◽  
Vol 52 (4) ◽  
pp. 810-819 ◽  
Author(s):  
TRINE KARLSEN ◽  
VIBEKE VIDEM ◽  
MARTIN HALLE ◽  
ØYVIND ELLINGSEN ◽  
ASBJØRN STØYLEN ◽  
...  

2019 ◽  
Vol 44 (1) ◽  
pp. 52-61 ◽  
Author(s):  
Hong Zhang ◽  
Shuang Shi ◽  
Xiu-Juan Zhao ◽  
Jun-Kui Wang ◽  
Zhong-Wei Liu ◽  
...  

Background/Aims: In heart failure patients with high prevalence of chronic renal disease (CKD), hospitalization and mortality, whether the lipid profile was associated with renal dysfunction remained unknown. The present study intended to clarify the association between the lipid profile and renal dysfunction in the heart failure patients. Methods: 336 hospitalized heart failure patients with left ventricle ejection fraction (LVEF) ≤45% and New York Heart Association (NYHA) class II-IV were enrolled. The estimated glomerular filtration rate (eGFR) < 90 mL/min·1.73 m2 was defined as renal dysfunction. The demographic, clinical data, blood samples and echocardiography were documented. The Pearson simple linear correlation was performed to evaluate the confounding factors correlated with eGFR. The significantly correlated factors were enrolled in Logistic regression as confounding factors to determine the association between the lipid profile and renal dysfunction in the heart failure patients. Results: 182 patients (54.2%) had renal dysfunction and 154 patients (45.8%) did not have renal dysfunction. The waist circumference, platelet counts, platelet distribution width (PDW), high density lipoprotein-cholesterol (HDL-C), apolipoprotein A1 (apoA1), albumin and left ventricular ejection fraction (LVEF) are positively correlated with eGFR (all P< 0.05). Meanwhile, the age, mean platelet volume (MPV), neutrophilic granulocyte percentage (NEUT%), urea nitrogen (BUN), creatinine and total bilirubin (TBIL) are negatively correlated with eGFR (all P< 0.05). The total cholesterol (TC), triglyceride, low density lipoprotein-cholesterol (LDL-C) and apolipoprotein B (apoB) show no correlation with eGFR. After the adjustment of sex, hypertension, diabetes mellitus, age, waist circumference, platelet counts, MPV, PDW, NEUT%, TBIL, albumin and LVEF, HDL-C is the only lipid factor still significantly associated with renal dysfunction in hospitalized heart failure patients (OR=0.119, P=0.003). Conclusion: Among the lipid profile of TC, triglyceride, LDL-C, HDL-C, apo A1 and apo B, the HDL-C is the only lipid factor significantly associated with renal dysfunction in hospitalized heart failure patients.


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