Sudden cardiac death in non-dialysis chronic kidney disease patients

Caravaca, Francisco; Chávez, Edgar; Alvarado, Raúl; García-Pino, Guadalupe; Luna, Enrique

doi:10.1016/j.nefroe.2016.10.007

Cited by 7 publications

(8 citation statements)

References 20 publications

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“…1 In non-dialysis advanced CKD patients, SCD accounts for 16% of all deaths. 21 The association between CKD and SCD is multifactorial. 22 From the Hemodialysis (HEMO) study including 1,745 patients undergoing long-term hemodialysis, age, diabetes, peripheral vascular disease, ischemic heart disease and alkaline phosphatase were independent predictors of SCD.…”

Section: Scd In Ckd Patientsmentioning

confidence: 99%

“…24 were independently associated with increased risk of SCD whereas the use of antiplatelet drugs was associated with reduced risk. 21 These studies did not include echocardiographic parameters that reflect structural myocardial changes that lead to a vulnerable myocardial substrate in patients with CKD and where transient triggers like ischemia and rapid electrolyte shifts may increase the risk of SCD and VA. 22,25 Currently, LVEF is the echocardiographic parameter that American and European guidelines use to recommend ICD implantation for primary prevention of SCD in heart failure patients. 19,26 Selection of CKD for ICD implantation: role of advanced echocardiography…”

Section: Scd In Ckd Patientsmentioning

confidence: 99%

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Left Ventricular Mechanical Dispersion and Global Longitudinal Strain and Ventricular Arrhythmias in Predialysis and Dialysis Patients

Hensen

Goossens

Podlesnikar

et al. 2018

Journal of the American Society of Echocardiography

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Section: Scd In Ckd Patientsmentioning

confidence: 99%

Section: Scd In Ckd Patientsmentioning

confidence: 99%

Left Ventricular Mechanical Dispersion and Global Longitudinal Strain and Ventricular Arrhythmias in Predialysis and Dialysis Patients

Hensen

Goossens

Podlesnikar

et al. 2018

Journal of the American Society of Echocardiography

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“…From Brazil, a whiff of hope was presented in this adverse disease [7]. Incidentally, different dimensions of this illness were discussed in USA [8], Australia [9], and Spain [10].…”

Section: Forensic Sci Add Resmentioning

confidence: 99%

Hypothesis on the Forensic Recognition of Cases "Brought in Dead" and Others "Brought in Dying"

Onuigbo¹

2018

FSAR

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The best known forensic cases are those "Brought in Dead," i.e., BID. Perhaps, there is need to appreciate other cases marked by reaching the hospital but dying there, i.e., "Brought in Dying." Examples of the latter need both recognition and documentation. This was achieved in the present paper concerning members of the Igbo Ethnic Group who are domiciled in South Eastern Nigeria. It is hypothesized that there should be wider knowledge of the phenomenon of "Brought in Dying.

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“…Understanding predictors of rehospitalization and mortality would allow for a more focused care, potentially prevent readmission, and decrease the risk of premature death of high-risk patients. Limited data from literature indicate that comorbidities strongly influence the probability of a patient's death [7,8]. Elixhauser et al showed that in inpatients, comorbidities had independent effects on and were associated with longer hospitalization and mortality [9].…”

Section: Introductionmentioning

confidence: 99%

Predictors of Rehospitalization and Mortality in Diabetes-Related Hospital Admissions

Kozioł

Towpik

Žůrek

et al. 2021

JCM

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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.

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Sudden cardiac death in non-dialysis chronic kidney disease patients

Cited by 7 publications

References 20 publications

Left Ventricular Mechanical Dispersion and Global Longitudinal Strain and Ventricular Arrhythmias in Predialysis and Dialysis Patients

Left Ventricular Mechanical Dispersion and Global Longitudinal Strain and Ventricular Arrhythmias in Predialysis and Dialysis Patients

Hypothesis on the Forensic Recognition of Cases "Brought in Dead" and Others "Brought in Dying"

Predictors of Rehospitalization and Mortality in Diabetes-Related Hospital Admissions

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