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1.
Chinese Critical Care Medicine ; (12): 1182-1187, 2023.
Artigo em Chinês | WPRIM | ID: wpr-1010923

RESUMO

OBJECTIVE@#To investigate time-related association between fluid balance and prognosis in sepsis patients.@*METHODS@#A retrospective cohort study was conducted based on the data of sepsis patients in the Medical Information Database for Intensive Care-IV 2.0 (MIMIC-IV 2.0) from 2008 to 2019. Sepsis patients aged ≥ 18 years who were admitted to intensive care unit (ICU) for at least 2 days were included. The daily fluid balance and cumulative fluid balance (CFB) were calculated from days 1 to 7 after ICU admission. According to CFB,the patients were divided into negative fluid balance group (CFB% < 0%), fluid balance group (0% ≤ CFB% ≤ 10%), and fluid overload group (CFB% > 10%). In-hospital mortality was the primary outcome. Multifactorial Logistic regression was used to analyze time-related association between different CFB and the risk of in-hospital mortality in patients with sepsis during 7 days after ICU admission. In addition, subgroup analysis was performed on patients with septic shock and patients with sepsis who stayed in the ICU for 7 days or longer.@*RESULTS@#A total of 11 437 patients with sepsis were included, of which 6 595 were male and 4 842 were female. The mean age was (64.4±16.4) years. A total of 10 253 patients (89.6%) survived and 1 184 patients (10.4%) died during hospitalization. Compared with the survival group, patients in the death group were older, lighter, had higher sequential organ failure assessment (SOFA), simplified acute physiology score II (SAPS II), longer ICU stay, higher incidence of septic shock, and higher proportion of invasive mechanical ventilation, renal replacement therapy (RRT) and vasoactive drugs. In terms of comorbidities, congestive heart failure, renal disease, liver disease, and malignancy were more common in the death group. The death group had a higher daily fluid balance than the survival group during 7 days after ICU admission, the CFB in the two groups gradually increased with length of ICU stay. After adjusting variables such as age, gender, race, SOFA score, SAPS II score, comorbidities, and the use of invasive mechanical ventilation, RRT and vasoactive drugs, multivariate Logistic regression analysis showed that fluid overload on day 1 after ICU admission was a protective factor for the reduced risk of in-hospital mortality in sepsis patients [odds ratio (OR) = 0.74, 95% confidence interval (95%CI) was 0.64-0.86, P = 0.001]. However, fluid overload on day 3 was a risk factor for in-hospital mortality in sepsis patients (OR = 1.70, 95%CI was 1.47-1.97, P < 0.001) and the risk of in-hospital mortality was significantly increased from day 4 to day 7. Furthermore, the same results were obtained in patients with septic shock and sepsis patients who stayed in the ICU for 7 days or longer.@*CONCLUSIONS@#Fluid overload on day 1 was associated with reduced in-hospital mortality. However, from the third day, fluid overload increases the risk of in-hospital mortality. Thus, managing fluid balance at different times may improve prognosis.


Assuntos
Humanos , Masculino , Feminino , Pessoa de Meia-Idade , Idoso , Idoso de 80 Anos ou mais , Choque Séptico , Estudos de Coortes , Estudos Retrospectivos , Sepse , Unidades de Terapia Intensiva , Equilíbrio Hidroeletrolítico , Insuficiência Cardíaca , Prognóstico
2.
Chinese Critical Care Medicine ; (12): 571-576, 2019.
Artigo em Chinês | WPRIM | ID: wpr-754012

RESUMO

Objective To observe the dynamic changes in extra vascular lung water index (EVLWI) and angiopoietin-2 (Ang-2) in severe multiple trauma patients with acute respiratory distress syndrome (ARDS), analyze the risk factor for short-term mortality, and to evaluate their prognostic values for prognosis. Methods A total of 54 severe multiple trauma patients with ARDS admitted to emergency intensive care unit (ICU) of the Affiliated Hospital of Guizhou Medical University from June 2014 to December 2018 were enrolled. The acute physiology and chronic health evaluation Ⅱ (APACHEⅡ), injury severity score (ISS) and oxygenation index (PaO2/FiO2), EVLWI [pulse-induced contour cardiac output (PiCCO) monitor] and plasma Ang-2 level [enzyme-linked immunosorbent assay (ELISA)] at 0 (immediately), 24, 48 and 72 hours after ICU admission, and the differences in PaO2/FiO2, EVLWI and Ang-2 between 0 hour and 72 hours (ΔPaO2/FiO2, ΔEVLWI, ΔAng-2) were calculated. The 28-day survival of patients was recorded, and the patients were divided into survival group and non-survival group. The differences in above mentioned parameters between the two groups were compared. Multivariate Logistic regression was used to analyze the independent risk factors associated with the prognosis. Receiver operating characteristic (ROC) curve was drawn to evaluate the prognostic values of ΔEVLWI and ΔAng-2 on the prognosis, and the Kaplan-Meier survival curve was plotted. Results 115 patients were enrolled in the final analysis, 72 survived in 28 days, 43 died, and the mortality rate was 37.4%. The APACHEⅡ and ISS scores of the non-survival group were significantly higher than those of the survival group [APACHEⅡscore: 25.7±2.7 vs. 20.6±2.2, ISS score: 22.1±3.1 vs. 18.1±2.1, both P < 0.05]. EVLWI and Ang-2 showed a gradual downwards tendency with the prolongation of the length of ICU stay in the survival group, but no significant change was found in the non-survival group. Parallel contour test showed that both P < 0.05, indicating that the curves between the two groups had different tendencies and were not parallel. The levels of EVLWI, Ang-2 and PaO2/FiO2 showed no statistical differences from 0 hour to 24 hours between the two groups, but EVLWI and Ang-2 in the non-survival group were significantly higher than those in the survival group from 48 hours on [EVLWI (mL/kg): 15.5±4.2 vs. 10.8±3.2, Ang-2 (ng/L): 352.7±51.2 vs. 237.9±42.8, both P < 0.05], and PaO2/FiO2 was significantly decreased [mmHg (1 mmHg = 0.133 kPa): 126.1±43.7 vs. 211.2±33.8, P < 0.05]. The ΔEVLWI and ΔAng-2 in the non-survival group were significantly lower than those in the survival group [ΔEVLWI (mL/kg): -0.9±6.1 vs. 3.1±6.4, ΔAng-2 (ng/L): -45.3±32.1 vs. 79.8±58.2, both P < 0.05], but ΔPaO2/FiO2 showed no significant difference as compared with the survival group (mmHg: 23.2±24.2 vs. -22.1±22.8, P > 0.05). Multivariate Logistic regression analysis demonstrated that ΔEVLWI [odds ratio (OR) = 2.811, 95% confidence interval (95%CI) = 1.232-3.161, P = 0.001], ΔAng-2 (OR = 2.204, 95%CI = 1.012-3.179, P = 0.001) and APACHEⅡ (OR = 1.206, 95%CI = 1.102-1.683, P = 0.002) were independent risk factors for 28-day mortality of severe multiple trauma patients with ARDS. ROC curve analysis showed that the area under ROC curve (AUC) of ΔEVLWI for predicting 28-day prognosis of severe multiple trauma patients with ARDS was 0.832, which was higher thanΔAng-2 (AUC = 0.790) and APACHEⅡ (AUC = 0.735). When the cut-off value of ΔEVLWI was 2.3 mL/kg, the sensitivity was 79.1%, and the specificity was 81.9%. Kaplan-Meier survival curve showed that the patients with ΔEVLWI > 2.3 mL/kg had a significantly higher 28-day cumulative survival rate as compared with the patients with ΔEVLWI ≤ 2.3 mL/kg (log-rank test: χ2 = 23.385, P = 0.000). Conclusions ΔEVLWI and ΔAng-2 can be used as independent risk factors for 28-day mortality of severe multiple trauma patients with ARDS, and the predictive value of ΔEVLWI was better than Ang-2 and APACHEⅡ. Dynamic observation of EVLWI could improve the accuracy of death forecasting for severe multiple trauma patients with ARDS.

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