|
Septicemia
|
0.030 |
Biomarker
|
disease |
BEFREE |
NALP1 mRNA levels were linked to survival in patients with sepsis (P = 0.0068) and correlated with SAPS II scores (r = -0.63).
|
18263805 |
2008 |
|
Sepsis
|
0.030 |
Biomarker
|
disease |
BEFREE |
NALP1 mRNA levels were linked to survival in patients with sepsis (P = 0.0068) and correlated with SAPS II scores (r = -0.63).
|
18263805 |
2008 |
|
End Stage Liver Disease
|
0.020 |
Biomarker
|
disease |
BEFREE |
Domino and deceased donor recipients had similar preoperative severity indices (Child-Pugh classification and Model for End-Stage Liver Disease score) and immediate postoperative severity scores (APACHE II [Acute Physiology and Chronic Health Evaluation II] and SAPS II [Simplified Acute Physiology Score II]).
|
21384509 |
2011 |
|
Hypertensive disease
|
0.010 |
Biomarker
|
group |
BEFREE |
The pre-ECMO SAPS II and a history of hypertension may be independent risk factors for poor outcomes.
|
27892596 |
2017 |
|
Neoplasm Metastasis
|
0.010 |
GeneticVariation
|
phenotype |
BEFREE |
These patients were extremely critically ill (SAPS 2 61.9 ± 22.5), and 60.3% had metastatic disease.
|
28265980 |
2017 |
|
Malignant Neoplasms
|
0.010 |
Biomarker
|
group |
BEFREE |
<i>fks</i> mutations were identified in one <i>C. albicans</i> and one <i>C. tropicalis</i>.Candidemia episodes caused by <i>C. tropicalis</i> were more commonly encountered in patients with haematological malignancies (<i>p</i> = 0.01), neutropenia (<i>p</i> < 0.001) and higher SAPS II scores (<i>p</i> = 0.02), while prior exposure to echinocandins was associated with isolation of <i>C. parapsilosis</i> (<i>p</i> = 0.001).
|
28293420 |
2017 |
|
Leukopenia
|
0.010 |
Biomarker
|
disease |
BEFREE |
<i>fks</i> mutations were identified in one <i>C. albicans</i> and one <i>C. tropicalis</i>.Candidemia episodes caused by <i>C. tropicalis</i> were more commonly encountered in patients with haematological malignancies (<i>p</i> = 0.01), neutropenia (<i>p</i> < 0.001) and higher SAPS II scores (<i>p</i> = 0.02), while prior exposure to echinocandins was associated with isolation of <i>C. parapsilosis</i> (<i>p</i> = 0.001).
|
28293420 |
2017 |
|
Neutropenia
|
0.010 |
Biomarker
|
disease |
BEFREE |
<i>fks</i> mutations were identified in one <i>C. albicans</i> and one <i>C. tropicalis</i>.Candidemia episodes caused by <i>C. tropicalis</i> were more commonly encountered in patients with haematological malignancies (<i>p</i> = 0.01), neutropenia (<i>p</i> < 0.001) and higher SAPS II scores (<i>p</i> = 0.02), while prior exposure to echinocandins was associated with isolation of <i>C. parapsilosis</i> (<i>p</i> = 0.001).
|
28293420 |
2017 |
|
Pneumonia
|
0.010 |
Biomarker
|
disease |
BEFREE |
By multivariable analysis, SAPS II at admission >43 [OR 2.81 (1.16-6.79)] and colonization with Enterobacter sp. or K. pneumoniae species [OR 10.96 (2.93-41.0)] were independent predictive factors for ESBL-PE pneumonia in colonized patients, whereas receipt of >2 days of amoxicillin/clavulanic acid during the ICU stay [OR 0.24 (0.08-0.71)] was protective.
|
28608133 |
2017 |
|
Amputated structure (morphologic abnormality)
|
0.010 |
Biomarker
|
phenotype |
BEFREE |
The overall hypothesis was that plasma biomarkers, representing the early innate immune response, can be used as prognostic markers of disease severity and mortality assessed by ICU scoring systems (SAPS II and SOFA score), the Laboratory Risk Indicator for Necrotizing Fasciitis (LRINEC) score, presence of septic shock, microbial aetiology, renal replacement therapy, and amputation.
|
28673381 |
2017 |
|
Myocardial Infarction
|
0.010 |
Biomarker
|
disease |
BEFREE |
Multivariate cox regression analysis of octogenarians revealed that admission diagnosis of myocardial infarction (HR 1.713, P = .023), age (1.08, P = .002), and SAPS II score (HR 1.02, 95%, P = .01) were independent risk factors, whereas admission diagnoses monitoring post coronary intervention (HR .253, P = .002) and cardiac arrhythmia (HR .534, P = .032) had a substantially reduced mortality risk.Octogenarians show a higher intra-ICU and long-term mortality than younger patients.
|
28906362 |
2017 |
|
Cardiovascular Diseases
|
0.010 |
GeneticVariation
|
group |
BEFREE |
Postpandemic patients were more likely than pandemic patients to have cardiovascular disease (24 [40%] vs. 1 [6%], respectively; p = 0.015), and they had higher scores on APACHE II (17 [13-22] vs. 14 [10-17], p = 0.002) and SAPS II (40 [31-51] vs. 31 [25-35], p = 0.002) upon admission to the ICU.
|
29162037 |
2017 |
|
Severe Sepsis
|
0.010 |
Biomarker
|
disease |
BEFREE |
In predicting the development of severe sepsis, the highest AUCs were found for PCT (0.744, 95% CI 0.638-0.85) and sTREM-1 (0.664, 95% CI 0.55-0.778); and in septic shock prediction, for PCT (0.766, 95% CI 0.665-0.867) and IL-6 (0.707, 95% CI 0.595-0.819). sTREM-1 positively correlated with APACHE II, SAPS II and SOFA scores.
|
29282483 |
2018 |
|
Kidney Failure, Acute
|
0.010 |
GeneticVariation
|
disease |
BEFREE |
The equations MAP-IAP-Pmean (1-area under the curve [AUC]: 0.796; likelihood ratio [LR]+: 3.520; LR-: 0.337; p < 0.01), MAP-IAP-CVP-Pmean (1-AUC: 0.794; LR+: 2.743; LR-: 0.282; p < 0.01), and MAP-2 × IAP-CVP-Pmean (1-AUC: 0.791; LR+: 4.321; LR-: 0.262; p < 0.001) showed small to moderate effect on AKI but have better performance than severity score systems (SAPS II [AUC: 0.696; LR+: 3.143, LR-: 0.433; p < 0.01], SOFA [AUC: 0.717; LR+: 2.089; LR-: 0.528; p < 0.001]).
|
29614507 |
2018 |
|
Acute respiratory failure
|
0.010 |
GeneticVariation
|
disease |
BEFREE |
Survival was associated with acute respiratory failure (48% vs 19%, P = .006), a history of COPD (40% vs 21%, P = .03) and a lower SAPS II score (44 vs 49, P = .006).
|
29660241 |
2018 |
|
End Stage Liver Disease
|
0.020 |
Biomarker
|
disease |
BEFREE |
In the decision curve analysis, the net benefit of implementing CLIF-SOFA and CLIF-C OF to predict the prognosis of cirrhotic patients with suspected infection were higher compared with SIRS, qSOFA, MELD, or qCLIF-SOFA.CLIF-SOFA and CLIF-C OF scores, as well as SAPS II were better tools than SIRS, qSOFA, MELD, or qCLIF-SOFA to evaluate the prognosis of critically ill cirrhotic patients with suspected infection.
|
29995791 |
2018 |
|
Systemic Inflammatory Response Syndrome
|
0.010 |
Biomarker
|
disease |
BEFREE |
In the decision curve analysis, the net benefit of implementing CLIF-SOFA and CLIF-C OF to predict the prognosis of cirrhotic patients with suspected infection were higher compared with SIRS, qSOFA, MELD, or qCLIF-SOFA.CLIF-SOFA and CLIF-C OF scores, as well as SAPS II were better tools than SIRS, qSOFA, MELD, or qCLIF-SOFA to evaluate the prognosis of critically ill cirrhotic patients with suspected infection.
|
29995791 |
2018 |
|
Chronic Liver Failure
|
0.010 |
Biomarker
|
disease |
BEFREE |
In the decision curve analysis, the net benefit of implementing CLIF-SOFA and CLIF-C OF to predict the prognosis of cirrhotic patients with suspected infection were higher compared with SIRS, qSOFA, MELD, or qCLIF-SOFA.CLIF-SOFA and CLIF-C OF scores, as well as SAPS II were better tools than SIRS, qSOFA, MELD, or qCLIF-SOFA to evaluate the prognosis of critically ill cirrhotic patients with suspected infection.
|
29995791 |
2018 |
|
Blood Protein Measurement
|
0.100 |
GeneticVariation
|
phenotype |
GWASCAT |
Co-regulatory networks of human serum proteins link genetics to disease.
|
30072576 |
2018 |
|
Neck stiffness
|
0.010 |
Biomarker
|
phenotype |
BEFREE |
By multivariable Cox model, SAPS II [hazard-ratio (HR) = 1.03 (1.02-1.04); p < 0.001], lower leucocytes [HR 0.83 (0.69-0.99); p = 0.034] and platelet counts [HR 0.77 (0.60-0.91); p = 0.007], and arterial blood lactate levels [HR 2.71 (1.68-4.38); p < 0.001] were independently associated with hospital death, while a neck stiffness [HR 0.51 (0.28-0.92); p = 0.026] was a protective factor.
|
30128591 |
2018 |
|
Septicemia
|
0.030 |
Biomarker
|
disease |
BEFREE |
The use of assembly algorithms, such as SGB, for the generation of a customized model for sepsis yields more accurate 1-year mortality prediction than the traditional scoring systems such as SAPS II, SOFA or OASIS.
|
30245121 |
2020 |
|
Sepsis
|
0.030 |
Biomarker
|
disease |
BEFREE |
The use of assembly algorithms, such as SGB, for the generation of a customized model for sepsis yields more accurate 1-year mortality prediction than the traditional scoring systems such as SAPS II, SOFA or OASIS.
|
30245121 |
2020 |
|
Low density lipoprotein cholesterol measurement
|
0.100 |
GeneticVariation
|
phenotype |
GWASCAT |
Genetics of blood lipids among ~300,000 multi-ethnic participants of the Million Veteran Program.
|
30275531 |
2018 |
|
Primary infection NOS
|
0.010 |
Biomarker
|
disease |
BEFREE |
Collected data included the demographic characteristics of the patients, the diagnosis at admission, SOFA, SAPS II and Murray Lung Injury Score (LIS), characteristics of the primary infection, the adequacy of antimicrobial therapy, the delay of administration of ivIgGAM from the ICU admission and the outcome at the ICU discharge.
|
30535962 |
2018 |
|
Status Epilepticus
|
0.010 |
GeneticVariation
|
disease |
BEFREE |
To characterize a critically ill cohort with status epilepticus (SE) by the illness severity scoring systems SAPS II (Simplified Acute Physiology Score II), APACHE II (Acute Physiology and Chronic Health Evaluation II), and SOFA (Sequential Organ Failure Assessment), and to compare their performance with the STESS (Status Epilepticus Severity Score) for outcome prediction.
|
30585317 |
2019 |