Stewart's model examines the relationship between the movement of ions across biological membranes and the consequent changes in pH related to modifications in three dependent variables which are the strong ion difference (SID), total weak acids and pCO2; and corrects the calculations of the traditional approach related to the buffer curve, base excess and anion gap. Objective: To determine whether DIF calculated by Stewart's method predicts mortality in patients with septic shock. Methods: Epidemiological, observational, cross-sectional study of two cohorts. Total sample of 204 patients admitted to the ICU. Results: The DIF with cutoff less than 25 at admission showed a sensitivity of 0.50 and specificity of 0.97, while the DIF at 24 hours showed a specificity of 93% and a sensitivity of 83%, positive predictive value 0.92, negative predictive value 0.84 and an area under the curve of 0.92. The risk was established with a RR 6.087 CI 95% (3.91-9.47) p<0.05. Conclusion: The DIF measured by Stewart's method with a value less than 25 represents an increased risk of death.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 52 pp. Englisch. Seller Inventory # 9786207102211
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Stewart's model examines the relationship between the movement of ions across biological membranes and the consequent changes in pH related to modifications in three dependent variables which are the strong ion difference (SID), total weak acids and pCO2; and corrects the calculations of the traditional approach related to the buffer curve, base excess and anion gap. Objective: To determine whether DIF calculated by Stewart's method predicts mortality in patients with septic shock. Methods: Epidemiological, observational, cross-sectional study of two cohorts. Total sample of 204 patients admitted to the ICU. Results: The DIF with cutoff less than 25 at admission showed a sensitivity of 0.50 and specificity of 0.97, while the DIF at 24 hours showed a specificity of 93% and a sensitivity of 83%, positive predictive value 0.92, negative predictive value 0.84 and an area under the curve of 0.92. The risk was established with a RR 6.087 CI 95% (3.91-9.47) pVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Seller Inventory # 9786207102211
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Stewart's model examines the relationship between the movement of ions across biological membranes and the consequent changes in pH related to modifications in three dependent variables which are the strong ion difference (SID), total weak acids and pCO2; and corrects the calculations of the traditional approach related to the buffer curve, base excess and anion gap. Objective: To determine whether DIF calculated by Stewart's method predicts mortality in patients with septic shock. Methods: Epidemiological, observational, cross-sectional study of two cohorts. Total sample of 204 patients admitted to the ICU. Results: The DIF with cutoff less than 25 at admission showed a sensitivity of 0.50 and specificity of 0.97, while the DIF at 24 hours showed a specificity of 93% and a sensitivity of 83%, positive predictive value 0.92, negative predictive value 0.84 and an area under the curve of 0.92. The risk was established with a RR 6.087 CI 95% (3.91-9.47) p<0.05. Conclusion: The DIF measured by Stewart's method with a value less than 25 represents an increased risk of death. Seller Inventory # 9786207102211
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Strong ion difference to predict mortality in septic shock. | Mortality prediction model for admission and 24-hour mortality. | Juan Francisco Piedra Rubio (u. a.) | Taschenbuch | Englisch | 2024 | Our Knowledge Publishing | EAN 9786207102211 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 128364828