Possible association between dysnatremias and mortality during hospitalization in patients undergoing acute hemodialysis: analysis from a Peruvian retrospective cohort

Mezones‐Holguín, Edward; Niño-García, Roberto; Herrera-Añazco, Percy; Taype-Rondán, Álvaro; Pacheco‐Mendoza, Josmel; Hernandez, Adrián V.

doi:10.1590/2175-8239-jbn-2018-0243

Cited by 4 publications

(2 citation statements)

References 34 publications

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“…The prognosis of hypernatremia is poor and its mortality rate can reach 42%‐75% 22 . Through a retrospective analysis, Mezones‐Holguin et al 23 confirmed that hypernatremia is associated with mortality in patients with AKI. Gao et al 24 included 13 621 ICU AKI patients into a Cox proportional risk model and reached a similar conclusion.…”

Section: Discussionmentioning

confidence: 98%

“…The prognosis of hypernatremia is poor and its mortality rate can reach 42%-75%. 22 Through a retrospective analysis, Mezones-Holguin et al 23 namic monitoring, procedures of dialysis/apheresis). 25 Our research indicated that PICC was independently associated with 30-day renal recovery, while had nothing to do with 90-day renal recovery.…”

Section: Ta B L E 3 (Continued)mentioning

confidence: 99%

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Short‐term prognosis and influencing factors of patients with acute kidney injury treated with prolonged intermittent renal replacement therapy

Wang

Shu

et al. 2021

Int. J. Clin. Pract.

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Background: Studies assessing prognosis after prolonged intermittent renal replacement therapy (PIRRT) for acute kidney injury (AKI) are scarce. Aim:To assess the impact of PIRRT on AKI and factors associated with short-term prognosis.Methods: In this retrospective nested case-control study, AKI patients administered PIRRT in Shanghai General Hospital from 01/2012 to 10/2018 were assigned to the 30-day survivor and death groups. Surviving patients were further divided into the kidney recovery and non-recovery groups at 30 and 90 days post-discharge, respectively. Propensity score matching was performed.Results: Totally 576 patients were included in the non-matched study population, mortality and kidney recovery rates were 51.7% and 33.4%, respectively. After propensity score matching, there were 250 patients in each of the death and survival groups. Low PIRRT frequency (OR = 2.165, 95% CI = 1.178-3.978), infection (OR = 0.447, 95% CI = 0.251-0.795), number of damaged vital organs (OR = 0.478, 95% CI = 0.346-0.661), sodium (OR = 0.958, 95% CI = 0.928-0.988), total protein

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Section: Discussionmentioning

confidence: 98%

Section: Ta B L E 3 (Continued)mentioning

confidence: 99%

Short‐term prognosis and influencing factors of patients with acute kidney injury treated with prolonged intermittent renal replacement therapy

Wang

Shu

et al. 2021

Int. J. Clin. Pract.

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Effects of serum sodium and chloride levels in the outcome of critically ill pediatric patients in the post-operative period of liver transplantation

et al. 2023

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Background Sodium and chloride disturbances have attracted increasing attention in recent years. Many pathophysiological effects are associated with hyperchloremia, including reduction in mean arterial pressure and acute renal disease. Pediatric patients undergoing liver transplantation are at risk of developing various electrolyte and biochemical abnormalities, with an impact on their postoperative outcomes. Objective To analyze the impacts of serum sodium and chloride levels on prognosis of Pediatric Liver Transplant receptors. Methods This was a retrospective analytical observational study performed in a single transplant reference center in Sao Paulo, Brazil. Included patients were pediatric patients who underwent liver transplantation between January 2015 and July 2019. Statistical regression analysis and General Estimating Equations analysis were performed to evaluate the impacts of sodium and chloride disturbances on the development of acute renal failure and mortality. Results A total of 143 patients were included in this study. The main diagnosis was Biliary Atresia (62.9%). Twenty-seven patients died (18.9%), and graft dysfunction was the main cause of death (29.6%). The only variable individually associated with 28-days mortality was PIM-3 score (HR 1.59, CI 95% 1.165–2.177, p = 0.004). Forty-one patients (28.6%) developed moderate or severe AKI. PIM-3 score (OR 3.052, 95% CI 1.56–5.97, p = 0.001), hypernatremia (OR 3.49, 95% CI 1.32–9.23, p = 0.012), and hyponatremia (OR 4.24, 95% CI 1.52–11.85, p = 0.006) were independently associated with the development of moderate/severe AKI. Conclusions In pediatric patients after liver transplantation, PIM-3 score, and abnormal serum sodium levels were correlated with AKI development.

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Short-term prognostic models for severe acute kidney injury patients receiving prolonged intermittent renal replacement therapy based on machine learning

Wang

Cai

Chen

et al. 2023

BMC Med Inform Decis Mak

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Background As an effective measurement for severe acute kidney injury (AKI), the prolonged intermittent renal replacement therapy (PIRRT) received attention. Also, machine learning has advanced and been applied to medicine. This study aimed to establish short-term prognosis prediction models for severe AKI patients who received PIRRT by machine learning. Methods The hospitalized AKI patients who received PIRRT were assigned to this retrospective case-control study. They were grouped based on survival situation and renal recovery status. To screen the correlation, Pearson’s correlation coefficient, partial ETA square, and chi-square test were applied, eight machine learning models were used for training. Results Among 493 subjects, the mortality rate was 51.93% and the kidney recovery rate was 30.43% at 30 days post-discharge, respectively. The indices related to survival were Sodium, Total protein, Lactate dehydrogenase (LDH), Phosphorus, Thrombin time, Liver cirrhosis, chronic kidney disease stage, number of vital organ injuries, and AKI stage, while Sodium, Total protein, LDH, Phosphorus, Thrombin time, Diabetes, peripherally inserted central catheter and AKI stage were selected to predict the 30-day renal recovery. Naive Bayes has a good performance in the prediction model for survival, Random Forest has a good performance in 30-day renal recovery prediction model, while for 90-day renal recovery prediction model, it’s K-Nearest Neighbor. Conclusions Machine learning can not only screen out indicators influencing prognosis of AKI patients receiving PIRRT, but also establish prediction models to optimize the risk assessment of these people. Moreover, attention should be paid to serum electrolytes to improve prognosis.

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Possible association between dysnatremias and mortality during hospitalization in patients undergoing acute hemodialysis: analysis from a Peruvian retrospective cohort

Cited by 4 publications

References 34 publications

Short‐term prognosis and influencing factors of patients with acute kidney injury treated with prolonged intermittent renal replacement therapy

Short‐term prognosis and influencing factors of patients with acute kidney injury treated with prolonged intermittent renal replacement therapy

Effects of serum sodium and chloride levels in the outcome of critically ill pediatric patients in the post-operative period of liver transplantation

Short-term prognostic models for severe acute kidney injury patients receiving prolonged intermittent renal replacement therapy based on machine learning

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