Renal dysfunction and fluid and electrolyte disturbances

Hashem, Rawhi; Weissman, Charles

doi:10.1097/mcc.0b013e328348bef5

Cited by 9 publications

(6 citation statements)

References 48 publications

(47 reference statements)

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“…Fluid and Electrolyte Disturbance in COVID-19. Impaired renal utility leads to fluid and electrolyte disturbances [13]. GI disorders be able to in addition be in charge of two fluid and electrolyte imbalances (the nearly all universal font is hypokalemia) [14].…”

Section: Results Anddiscussionmentioning

confidence: 99%

Evaluation of some biochemical markers in Pfizer-BioNTech vaccinated people

Hussein

Jabir

2022

ijhs

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Background : The large spread of the Coronavirus is one of the dangers facing The world at the present time, which causes respiratory disorders .This new corona Virus is transmitted from human to human and has caused significant deaths in General ,which has led to the persistence of the pandemic . These verity of the Disease varies greatly from person to person .Forcing scientists to continue Research to discover a vaccine for this disease in in request to control and boundary the range Of the disease.The aim : This study was designed to hit upon out whether here are side effects on vaccinated people who received covid-19 vaccine or not by measuring the body's vitality by some of biochemical tests.Subjects:75 individuals between women and men aged(17-68 years)were enrolled in this study .Several biochemical tests were performed on them before taking the vaccine ,a week to10 days after the first dose, and a week to 10 days after the second dose of covid-19 vaccine.

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Section: Results Anddiscussionmentioning

confidence: 99%

Evaluation of some biochemical markers in Pfizer-BioNTech vaccinated people

Hussein

Jabir

2022

ijhs

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“…[ 19 , 20 ] Dysfunction of kidney leads to the disturbances of fluids and electrolytes including sodium, potassium, chlorine, and calcium imbalances, which are prevalent in acute kidney injury (AKI) patients in ICUs. [ 21 ] Immediate and decisive treatment is required for fluid and electrolyte disturbances. [ 22 ] IV fluids are commonly applied in ICUs due to their low-risk, go-to interventions for patients with fluid deficits and electrolyte imbalances.…”

Section: Discussionmentioning

confidence: 99%

A prediction model for 30-day mortality of sepsis patients based on intravenous fluids and electrolytes

Wang

Feng²

2022

Medicine

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To establish a prediction model for the 30-day mortality in sepsis patients. The data of 1185 sepsis patients were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) and all participants were randomly divided into the training set (n = 829) and the testing set (n = 356). The model was established in the training set and verified in the testing set. After standardization of the data, age, gender, input, output, and variables with statistical difference between the survival group and the death group in the training set were involved in the extreme gradient boosting (XGBoost) model. Subgroup analysis was performed concerning age and gender in the testing set. In the XGBoost model with variables related to intravenous (IV) fluid management and electrolytes for the 30-day mortality of sepsis patients, the area under the curve (AUC) was 0.868 (95% confidence interval [CI]: 0.867–0.869) in the training set and 0.781 (95% CI: 0.779–0.782) in the testing set. The sensitivity was 0.815 (95% CI: 0.774–0.857) in the training set and 0.755 (95% CI: 0.686–0.825) in the testing set. The specificity was 0.761 (95% CI: 0.723–0.798) in the training set, and 0.737 (95% CI: 0.677–0.797) in the testing set. In the XGBoost forest model without variables related to IV fluid management and electrolytes for the 30-day mortality of sepsis patients, in the training set, the AUC was 0.830 (95% CI: 0.829–0.831), the sensitivity was 0.717 (95% CI: 0.669–0.765), the specificity was 0.797 (95% CI: 0.762–0.833), and the accuracy was 0.765 (95% CI: 0.736–0.794). In the testing set, the AUC was 0.751 (95% CI: 0.750–0.753), the sensitivity was 0.612 (95% CI: 0.533–0.691), the specificity was 0.756 (95% CI: 0.698–0.814), and the accuracy was 0.697(95% CI: 0.649–0.744). The prediction model including variables associated with IV fluids and electrolytes had good predictive value for the 30-day mortality of sepsis patients.

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“…Fluid and electrolyte disturbances are more common among hospitalized patients and those in intensive care units. Deranged renal function leads to fluid and electrolyte disturbances (30), and many studies on COVID-19 have confirmed electrolyte disturbances such as sodium, potassium, chloride, and calcium imbalances (13,31). However, the most common electrolyte disorder is hyponatremia, which is associated with increased risk of mortality among hospitalized COVID-19 patients (32).…”

Section: Fluid and Electrolytes Disturbances In Covid-19mentioning

confidence: 99%

A review of the possible prognostic values of biochemical changes in patients with SARS-CoV-2 infections

Adegboro¹,

Babazhitsu²,

Mba³

2021

Af J Clin Exp Micro

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Because of high mortality and long-term hospital stay among patients with SARS-CoV-2 infections, it is important to search for biochemical changes in different organs and systems that could be useful in diagnosis and prognosis of COVID-19. We conducted a literature search of online databases including PubMed, Web of Science, Scopus and Google scholar for relevant materials on biochemical changes in SARS-COV-2 infections published between December 2019 and March 2021. The review shows that SARS-COV-2 uses the angiotensin converting enzyme 2 (ACE2) for attachment and entry into host cells. These ACE2 are abundantly expressed by the epithelial cells of the respiratory tract and moderately expressed by the epithelial cells of the esophagus, stomach, duodenum, ileum, rectum, cholangiocytes, liver hepatocytes, pancreatic beta cells, and kidney tubular cells. This explains the systemic nature of SARS-COV-2 infection, and the high morbidity and mortality associated with COVID-19. Although, tests to assess biochemical changes are not specific enough for the diagnosis of SARS-CoV-2 infection, they may be useful for predicting outcome of COVID-19. This review highlights biochemical parameters that are significantly elevated or reduced in SARS-COV-2 infections, and which can be used as predictive factors of the severity and prognosis in COVID-19 patients. French title: Un examen des valeurs pronostiques possibles des changements biochimiques chez les patients infectés par le SRAS-CoV-2 En raison de la mortalité élevée et du séjour à l'hôpital à long terme chez les patients infectés par le SRAS-CoV-2, il est important de rechercher des changements biochimiques dans différents organes et systèmes qui pourraient être utiles pour le diagnostic et le pronostic de COVID-19. Nous avons effectué une recherche documentaire dans des bases de données en ligne, notamment PubMed, Web of Science, Scopus et Google Scholar, pour rechercher des documents pertinents sur les changements biochimiques dans les infections par le SRAS-COV-2 publiés entre décembre 2019 et mars 2021. La revue montre que le SRAS-COV-2 utilise l'enzyme de conversion de l'angiotensine 2 (ACE2) pour la fixation et l'entrée dans les cellules hôtes. Ces ACE2 sont abondamment exprimés par les cellules épithéliales des voies respiratoires et modérément exprimés par les cellules épithéliales de l'oesophage, de l'estomac, du duodénum, de l'iléon, du rectum, des cholangiocytes, des hépatocytes du foie, des cellules bêta pancréatiques et des cellules tubulaires rénales. Cela explique la nature systémique de l'infection par le SRAS-COV-2, ainsi que la morbidité et la mortalité élevées associées au COVID-19. Bien que les tests pour évaluer les changements biochimiques ne soient pas assez spécifiques pour le diagnostic de l'infection par le SRAS-CoV-2, ils peuvent être utiles pour prédire l'issue du COVID-19. Cette revue met en évidence les paramètres biochimiques qui sont significativement élevés ou réduits dans les infections par le SRAS-COV-2, et qui peuvent être utilisés comme facteurs prédictifs de la gravité et du pronostic chez les patients COVID-19.

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Renal dysfunction and fluid and electrolyte disturbances

Cited by 9 publications

References 48 publications

Evaluation of some biochemical markers in Pfizer-BioNTech vaccinated people

Evaluation of some biochemical markers in Pfizer-BioNTech vaccinated people

A prediction model for 30-day mortality of sepsis patients based on intravenous fluids and electrolytes

A review of the possible prognostic values of biochemical changes in patients with SARS-CoV-2 infections

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