Abstract:Purpose
We sought to describe the association between serum chloride levels and mortality among unselected cardiac intensive care unit (CICU) patients.
Materials and methods
We retrospectively reviewed adult patients admitted to our CICU from 2007 to 2015. The association of dyschloremia and hospital mortality was assessed in a multiple variable model including additional confounders, and the association of dyschloremia and post-discharge mortality were assessed using Cox proportional-hazards analysis.
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“…Dyschloremia (both hypochloremia and hyperchloremia) is common in critically ill patients; it is attributable to various etiological factors or treatments [7]. Dyschloremia has also been associated with worse outcomes among patients in ICUs or coronary care units [9][10][11]. Importantly, dyschloremia is an independent prognostic predictor of hypertensive patients [12], decompensated cirrhosis [13], chronic heart failure [14], and CKD [15], as well as pediatric patients [16].…”
Objective
The effect of the serum chloride (Cl) level on mortality in critically ill patients with acute kidney injury (AKI) remains unknown. We sought an association between mortality and serum Cl.
Methods
We identified AKI patients in the eICU Collaborative Research Database from 2014 to 2015 at 208 US hospitals. The outcomes included in-hospital and intensive care unit (ICU) mortality. Time-varying covariates Cox regression models and the Kaplan-Meier (K-M) curves were used to assess the association between serum Cl levels and mortality. Multivariable adjusted restricted cubic spline models were used to analyze the potential nonlinear relationship between mortality and serum Cl.
Results
In total, 4,234 AKI patients were included in the study. Compared with normochloremia (98≤chloride<108mEq/L), hypochloremia (Cl<98mEq/L) was associated with mortality (adjusted hazard ratio [HR] for in-hospital mortality 1.46, 95% confidence interval [CI] 1.20–1.80, P = 0.0003; adjusted HR for ICU mortality 1.37, 95% CI 1.05–1.80, P = 0.0187). Hyperchloremia showed no significant difference in mortality compared to normochloremia (adjusted HR for in-hospital mortality 0.89, 95% CI 0.76–1.04, P = 0.1438; adjusted HR for ICU mortality 0.87, 95% CI 0.72–1.06, P = 0.1712). Smoothing curves revealed continuous non-linear associations between serum Cl levels and mortality. The K-M curve showed that patients with hypochloremia presented with a lower survival rate.
Conclusions
Lower serum Cl levels after ICU admission was associated with increased in-hospital and ICU mortality in critically ill patients with AKI. The results should be verified in well-designed prospective studies.
“…Dyschloremia (both hypochloremia and hyperchloremia) is common in critically ill patients; it is attributable to various etiological factors or treatments [7]. Dyschloremia has also been associated with worse outcomes among patients in ICUs or coronary care units [9][10][11]. Importantly, dyschloremia is an independent prognostic predictor of hypertensive patients [12], decompensated cirrhosis [13], chronic heart failure [14], and CKD [15], as well as pediatric patients [16].…”
Objective
The effect of the serum chloride (Cl) level on mortality in critically ill patients with acute kidney injury (AKI) remains unknown. We sought an association between mortality and serum Cl.
Methods
We identified AKI patients in the eICU Collaborative Research Database from 2014 to 2015 at 208 US hospitals. The outcomes included in-hospital and intensive care unit (ICU) mortality. Time-varying covariates Cox regression models and the Kaplan-Meier (K-M) curves were used to assess the association between serum Cl levels and mortality. Multivariable adjusted restricted cubic spline models were used to analyze the potential nonlinear relationship between mortality and serum Cl.
Results
In total, 4,234 AKI patients were included in the study. Compared with normochloremia (98≤chloride<108mEq/L), hypochloremia (Cl<98mEq/L) was associated with mortality (adjusted hazard ratio [HR] for in-hospital mortality 1.46, 95% confidence interval [CI] 1.20–1.80, P = 0.0003; adjusted HR for ICU mortality 1.37, 95% CI 1.05–1.80, P = 0.0187). Hyperchloremia showed no significant difference in mortality compared to normochloremia (adjusted HR for in-hospital mortality 0.89, 95% CI 0.76–1.04, P = 0.1438; adjusted HR for ICU mortality 0.87, 95% CI 0.72–1.06, P = 0.1712). Smoothing curves revealed continuous non-linear associations between serum Cl levels and mortality. The K-M curve showed that patients with hypochloremia presented with a lower survival rate.
Conclusions
Lower serum Cl levels after ICU admission was associated with increased in-hospital and ICU mortality in critically ill patients with AKI. The results should be verified in well-designed prospective studies.
“…Se considera a la hipocloremia como un marcador independiente de mortalidad a corto y largo plazo entre los pacientes con insuficiencia cardíaca (ICC) y predice una disminución de la respuesta a los diuréticos (36,37). Mientras que la hipercloremia (niveles altos de cloruro), es frecuente por el uso indiscriminado de soluciones intravenosas con un alto contenido en cloruros y pacientes que presentan shock séptico o sepsis.…”
Introducción: el uso crónico de medicamentos diuréticos de asa, desencadenan trastornos electrolíticos como parte de sus reacciones adversas (RAMS). Se ha observado que los adultos mayores tienden a desarrollar este tipo de RAMS, debido a los cambios en la función renal al envejecer. Objetivo: analizar los trastornos electrolíticos que provocan los diuréticos de asa en la población adulta mayor, según la evidencia científica publicada durante el periodo 2018-2023. Metodología: revisión sistemática documental, usando el método Prisma; se recopiló información de diferentes estudios retrospectivos, observacionales y transversales. Resultados: se observó una prevalencia significativa de hiponatremia, hipomagnesemia e hipocloremia por el uso crónico de diuréticos de asa, la edad de los pacientes fue de 60 años en adelante, con respecto al potasio, no queda claro si la hipo o hiperpotasemia es más frecuente, ya que los estudios sugieren una prevalencia similar de ambas condiciones. Conclusiones: por otro lado, los electrólitos menos alterados fueron el calcio y el fósforo. La buena alimentación durante el uso de diuréticos de asa contribuye al equilibrio de varios electrólitos. Área de estudio general: Bioquímica y Farmacia. Área de estudio: Farmacología Clínica. Tipo de estudio: Artículo de revisión sistemática.
“…As emphasized by M-CARS, abnormalities in common laboratory tests at the time of CICU admission have been associated with higher mortality, including hyponatremia, hyperkalemia, hypochloremia, hypoalbuminemia, anemia, elevated RDW, elevated anion gap, and elevated BUN (Jentzer et al, 2019a ; Breen et al, 2020 , 2021b ; Rayes et al, 2020 ; Padkins et al, 2021 ). One variable utilized in the M-CARS requires further clarification—the Braden skin score, which is a bedside nursing tool used to predict the risk of skin pressure injury.…”
The medical complexity and high acuity of patients in the cardiac intensive care unit make for a unique patient population with high morbidity and mortality. While there are many tools for predictions of mortality in other settings, there is a lack of robust mortality prediction tools for cardiac intensive care unit patients. The ongoing advances in artificial intelligence and machine learning also pose a potential asset to the advancement of mortality prediction. Artificial intelligence algorithms have been developed for application of electrocardiogram interpretation with promising accuracy and clinical application. Additionally, artificial intelligence algorithms applied to electrocardiogram interpretation have been developed to predict various variables such as structural heart disease, left ventricular systolic dysfunction, and atrial fibrillation. These variables can be used and applied to new mortality prediction models that are dynamic with the changes in the patient's clinical course and may lead to more accurate and reliable mortality prediction. The application of artificial intelligence to mortality prediction will fill the gaps left by current mortality prediction tools.
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