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  1. 8021
    “…No differences in sex distribution, stone location, APACHE II score, age, stone size and time between admission and urinary drainage were found. …”
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    Early ureteroscopic treatment in patients with urosepsis associated with ureteral calculi is a safe approach. A pilot study
  2. 8022
    “…The incidence of vomiting and VAP, GRV, length of mechanical ventilation and ICU stay, APACHE II and SOFA scores, and mortality rate were noted. …”
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    Effect of gastric residual volume monitoring on incidence of ventilator-associated pneumonia in mechanically ventilated patients admitted to intensive care unit
  3. 8023
    “…Conclusion: In patients with severe pneumonia, APACHE II score > 17.5, blood glucose > 9.87 mmol/l, fentanyl usage > 1.135 mg/d, and the need for RBC transfusion might be associated with higher risk of extubation failure.…”
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    Early prediction of extubation failure in patients with severe pneumonia: a retrospective cohort study
  4. 8024
    “…In particular, using Linux as the operative system, Apache as the HTTP Server, MySQL as the database management system, and PHP as the programming language for the web. …”
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    The diatomic molecular spectroscopy database
  5. 8025
    “…In univariate analysis, acidosis, hypoalbuminemia, SOFA, APACHE IV, and SAPS 3 were identified as risk factors for FTR (P < 0.05). …”
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    Prediction of Postoperative Mortality in Patients with Organ Failure After Gastric Cancer Surgery
  6. 8026
    “…ROC curve analysis showed that APACHE II scores > 19 and serum albumin ≤25 g/L were the best predictors of mortality. …”
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    Analysis of fungal bloodstream infection in intensive care units in the Meizhou region of China: species distribution and resistance and the risk factors for patient mortality
  7. 8027
    “…Adding PTX3 to the logistic model increased the predictive capacity in relation to SAPS II, SOFA and APACHE II for in-hospital mortality (AUC 0.814, 0.795, and 0.741, respectively). …”
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    Prognostic value of plasma pentraxin 3 levels in patients with septic shock admitted to intensive care
  8. 8028
    “…In the multivariable logistic regression model, the odds ratio of in-hospital death was higher with APACHE II score (OR = 1.126; 95% CI = 1.014–1.252; P = .027). …”
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    Clinical features and prognostic factors of critically ill patients with COVID-19 in Daegu, South Korea: A multi-center retrospective study
  9. 8029
    “…In conclusion, our study showed critically ill influenza patients with ARDS, higher APACHE II scores, and higher positive end-expiratory pressure have a higher risk of receiving ECMO support. …”
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    Clinical Characteristics and Predictors of Mortality in Critically Ill Adult Patients with Influenza Infection
  10. 8030
    “…The area under the receiver operating characteristic curve (AUROC) values were also high over 0.92 in all models, although there were no statistical differences compared to APACHE-II. This is the first demonstration of the potential of machine learning-based mortality prediction models for heat-related illnesses.…”
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    Machine learning-based mortality prediction model for heat-related illness
  11. 8031
    “…The associations between lung ultrasonography score, PaO(2)/FiO(2), APACHE II, SOFA, and PaCO(2) with 28-day mortality were analyzed and the receiver operator characteristic curve was plotted. …”
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    Findings and Prognostic Value of Lung Ultrasonography in Coronal Virus Disease 2019 (COVID-19) Pneumonia
  12. 8032
    “…For LOS, linear regression analysis showed the following prediction equation: log(LOS) = 0.01 × (APACHE II) + 0.04 × (total bilirubin) − 0.09 × (admission diagnosis of gastrointestinal disease or injury, poisoning, or other external cause) + 0.970. …”
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    Risk Scoring System of Mortality and Prediction Model of Hospital Stay for Critically Ill Patients Receiving Parenteral Nutrition
  13. 8033
    “…GDF-15 is a better independent predictor for in-hospital mortality of critically ill AKI patients than the traditional risk scoring system such as APACHE II and SOFA scores.…”
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    GDF-15 Predicts In-Hospital Mortality of Critically Ill Patients with Acute Kidney Injury Requiring Continuous Renal Replacement Therapy: A Multicenter Prospective Study
  14. 8034
    “…RESULTS: Higher SOFA, qSOFA, APACHE II and SIRS scores, hypoxia, elevated inflammatory cytokines, multi-organ dysfunction, decreased immune cell subsets, and complications were significantly associated with the higher COVID-19 death risk. …”
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    Clinical characteristics and risk factors of fatal patients with COVID-19: a retrospective cohort study in Wuhan, China
  15. 8035
    “…RESULTS: The ARDS Network derivation cohort demonstrated arterial-ET difference, vasopressor requirement, age, and APACHE III to be associated with mortality by univariable analysis. …”
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    Bedside estimates of dead space using end-tidal CO(2) are independently associated with mortality in ARDS
  16. 8036
    “…CONCLUSIONS: Postoperative reoperation, postoperative APACHE II score, and postoperative LAC were independent risk factors of postoperative AKI in critically ill patients undergoing emergency surgery. …”
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    The incidence, risk factors and outcomes of acute kidney injury in critically ill patients undergoing emergency surgery: a prospective observational study
  17. 8037
    por Gu, Ning, Zheng, Yaning, Dai, Yimin
    Publicado 2022
    “…The collected information included maternal demographic characteristics, indications for ICU and HDU admission, the length of ICU stay, the total length of in-hospital stay and APACHE II score. Chi-square and ANOVA tests were used to determine statistical significance. …”
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    Severe maternal morbidity: admission shift from intensive care unit to obstetric high-dependency unit
  18. 8038
    “…Through logistic regression analysis, APACHE II score and serum albumin level were considered risk factors for in-hospital mortality. …”
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    Increasing Fusobacterium infections with Fusobacterium varium, an emerging pathogen
  19. 8039
    “…RESULTS: mNGS positive rate was higher than traditional blood culture (67.74% vs. 19.35%). APACHE II score [odds ratio (OR)=1.096], immune-related diseases (OR=6.544), and hypertension (OR=2.819) were considered as positive independent factors for mNGS or culture-positive. …”
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    Clinical Application and Influencing Factor Analysis of Metagenomic Next-Generation Sequencing (mNGS) in ICU Patients With Sepsis
  20. 8040
    “…We correlated the immunophenotypes with the scores of the severity-of-disease classification system, APACHE-II. We found that the mean fluorescence intensity (MFI) of CD15, which is important for the transendothelial migration, was significantly reduced in the patients with COVID-19 (difference ± SD; 295.70 ± 117.50 MFI; p = 0.02). …”
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    The Low Expression of Fc-Gamma Receptor III (CD16) and High Expression of Fc-Gamma Receptor I (CD64) on Neutrophil Granulocytes Mark Severe COVID-19 Pneumonia
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