Tag: prediction

Early Prediction of ICU-Acquired Weakness

The previously developed prediction model for ICU-AW showed poor performance in a new independent multicenter validation cohort. Model updating methods improved calibration but not discrimination. The newly derived prediction... read more

Neuroprognostication Practices in Postcardiac Arrest Patients

Neuroprognostic approaches to hypoxic-ischemic encephalopathy vary among physicians and are often not consistent with current guidelines. The overall inconsistency in approaches and deviation from evidence-based recommendations... read more

Early Prediction of Sepsis From Clinical Data

Diverse computational approaches predict the onset of sepsis several hours before clinical recognition, but generalizability to different hospital systems remains a challenge. A total of 104 groups from academia and industry... read more

Defining Benefit Threshold for ECMO in Children with Sepsis

This binational study demonstrates that a rapidly available sepsis mortality prediction model can define thresholds for survival benefit in children with septic shock considered for ECMO. Survival on ECMO was associated... read more

Machine Learning vs. Physicians’ Prediction of AKI in Critically Ill Adults

The machine-learning-based AKIpredictor achieved similar discriminative performance as physicians for prediction of AKI-23, and higher net benefit overall, because physicians overestimated the risk of AKI. This suggests... read more

Use of Machine Learning to Analyze Routinely Collected ICU Data

The rate of publication of studies using machine learning to analyze routinely collected ICU data is increasing rapidly. The sample sizes used in many published studies are too small to exploit the potential of these methods.... read more

Clinical Examination for the Prediction of Mortality in the Critically Ill

Clinical examination has reasonable discriminative value for assessing 90-day mortality in acutely admitted ICU patients. In our study population, a single, protocolized clinical examination had similar prognostic abilities... read more

Early Prediction of Prognosis in Elderly Acute Stroke Patients

Acute stroke has a high morbidity and mortality in elderly population. Baseline confounding illnesses, initial clinical examination, and basic laboratory tests may impact prognostics. In this study, we aimed to establish... read more

Disease History to Predict Mortality Risk in ICU Patients

Patients in the intensive care unit are highly heterogeneous, and include elderly patients who generally have a long history of disease. Prediction of prognosis can often be difficult because of the severity of patient illness... read more

Machine-learning System Could Aid Critical Decisions in Sepsis Care

Researchers from MIT and Massachusetts General Hospital (MGH) have developed a predictive model that could guide clinicians in deciding when to give potentially life-saving drugs to patients being treated for sepsis in the... read more

Characterising Risk of In-Hospital Mortality Following Cardiac Arrest Using Machine Learning

Resuscitated cardiac arrest is associated with high mortality; however, the ability to estimate risk of adverse outcomes using existing illness severity scores is limited. Using in-hospital data available within the first... read more

Model Improves Prediction of Mortality Risk in ICU Patients

MIT researchers have developed a machine-learning model that groups patients into subpopulations by health status to better predict a patient’s risk of dying during their stay in the ICU. This technique outperforms "global"... read more

Delirium Prediction in the ICU

While both ICU delirium prediction models have moderate-to-good performance, the PRE-DELIRIC model predicts delirium better. However, ICU physicians rated the user convenience of E-PRE-DELIRIC superior to PRE-DELIRIC. In... read more

Which Models Can I Use to Predict Adult ICU Length of Stay? A Systematic Review

No models completely satisfy our requirements for planning, identifying unexpectedly long ICU length of stay, or for benchmarking purposes. Physicians using these models to predict ICU length of stay should interpret them... read more

Biomarkers in AKI: That’s All the Story?

We would like to add to the recent editorial by McMahon on biomarkers of acute kidney injury (AKI), with a specific focus on biomarkers in the clinical setting of cardiac surgery-associated AKI (CSA-AKI). We agree with McMahon... read more

Researchers develop new tool to predict early ICU readmission for surgical patients

Researchers developed a risk prediction tool, called a nomogram, that uses a scoring system to determine a patient's risk level for returning to the SICU within 72 hours after discharge from the unit.... read more