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10.1186/s13054-015-0848-2 http://scihub22266oqcxt.onion/10.1186/s13054-015-0848-2 C4407305!4407305 !25887685     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=25887685 &cmd=llinks): Failed to open stream: HTTP request failed! 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Predicting one-year mortality of critically ill patients with early acute kidney injury: data from the prospective multicenter FINNAKI study |pdf=|usr=}}{{25887685 }} gab.com Text Predicting one-year mortality of critically ill patients with early acute kidney injury: data from the prospective multicenter FINNAKI study JO: Crit Care http://www.kidney.de/pget.php?&tw=1&pmid=25887685 #FOAvip INTRODUCTION: No predictive models for long-term mortality in critically ill patients with acute kidney injury (AKI) exist. We aimed to develop and validate two predictive models for one-year mortality in patients with AKI based on data (1) on intensive care unit (ICU) admission and (2) on the third day (D3) in the ICU. METHODS: This substudy of the FINNAKI study comprised 774 patients with early AKI (diagnosed within 24 hours of ICU admission). We selected predictors a priori based on previous studies, clinical judgment, and differences between one-year survivors and non-survivors in patients with AKI. We validated the models internally with bootstrapping. RESULTS: Of 774 patients, 308 (39.8%, 95% confidence interval (CI) 36.3 to 43.3) died during one year. Predictors of one-year mortality on admission were: advanced age, diminished premorbid functional performance, co-morbidities, emergency admission, and resuscitation or hypotension preceding ICU admission. The area under the receiver operating characteristic curve (AUC) (95% CI) for the admission model was 0.76 (0.72 to 0.79) and the mean bootstrap-adjusted AUC 0.75 (0.74 to 0.75). Advanced age, need for mechanical ventilation on D3, number of co-morbidities, higher modified SAPS II score, the highest bilirubin value by D3, and the lowest base excess value on D3 remained predictors of one-year mortality on D3. The AUC (95% CI) for the D3 model was 0.80 (0.75 to 0.85) and by bootstrapping 0.79 (0.77 to 0.80). CONCLUSIONS: The prognostic performance of the admission data-based model was acceptable, but not good. The D3 model for one-year mortality performed fairly well in patients with early AKI. Twit Text FOAVip Predicting one-year mortality of critically ill patients with early acute kidney injury: data from the prospective multicenter FINNAKI study ????Crit Care http://www.kidney.de/pget.php?&tw=1&pmid=25887685 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25887685 #FOAvip English Wikipedia <ref>{{Cite pmid|25887685 }}</ref> Predicting one-year mortality of critically ill patients with early acute kidney injury: data from the prospective multicenter FINNAKI study #MMPMID25887685 Poukkanen M ; Vaara ST ; Reinikainen M ; Selander T ; Nisula S ; Karlsson S ; Parviainen I ; Koskenkari J ; Pettilä V Crit Care 2015[Mar]; 19 (1 ): 125 PMID25887685 show ga INTRODUCTION: No predictive models for long-term mortality in critically ill patients with acute kidney injury (AKI) exist. We aimed to develop and validate two predictive models for one-year mortality in patients with AKI based on data (1) on intensive care unit (ICU) admission and (2) on the third day (D3) in the ICU. METHODS: This substudy of the FINNAKI study comprised 774 patients with early AKI (diagnosed within 24 hours of ICU admission). We selected predictors a priori based on previous studies, clinical judgment, and differences between one-year survivors and non-survivors in patients with AKI. We validated the models internally with bootstrapping. RESULTS: Of 774 patients, 308 (39.8%, 95% confidence interval (CI) 36.3 to 43.3) died during one year. Predictors of one-year mortality on admission were: advanced age, diminished premorbid functional performance, co-morbidities, emergency admission, and resuscitation or hypotension preceding ICU admission. The area under the receiver operating characteristic curve (AUC) (95% CI) for the admission model was 0.76 (0.72 to 0.79) and the mean bootstrap-adjusted AUC 0.75 (0.74 to 0.75). Advanced age, need for mechanical ventilation on D3, number of co-morbidities, higher modified SAPS II score, the highest bilirubin value by D3, and the lowest base excess value on D3 remained predictors of one-year mortality on D3. The AUC (95% CI) for the D3 model was 0.80 (0.75 to 0.85) and by bootstrapping 0.79 (0.77 to 0.80). CONCLUSIONS: The prognostic performance of the admission data-based model was acceptable, but not good. The D3 model for one-year mortality performed fairly well in patients with early AKI. |Acute Kidney Injury/*mortality/therapy [MESH] |Aged [MESH] |Critical Illness [MESH] |Female [MESH] |Finland [MESH] |Humans [MESH] |Intensive Care Units [MESH] |Male [MESH] |Middle Aged [MESH] |Prognosis [MESH] |Prospective Studies [MESH] |ROC Curve [MESH] |Respiration, Artificial/methods [MESH]Predicting one-year mortality of critically ill patients with early ac(epmc).pdf DeepDyve Pubget Overpricing