Modeling the severity of illness of ICU patients. A systems update

scientific article published on October 1994

Modeling the severity of illness of ICU patients. A systems update is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1001/JAMA.1994.03520130087038
P698PubMed publication ID8089888

P2093author name stringS Lemeshow
J R Le Gall
P433issue13
P407language of work or nameEnglishQ1860
P921main subjectpatientQ181600
P304page(s)1049-1055
P577publication date1994-10-01
P1433published inThe Journal of the American Medical AssociationQ1470970
P1476titleModeling the severity of illness of ICU patients. A systems update
P478volume272

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cites work (P2860)
Q34132956A Comparison of Intensive Care Unit Mortality Prediction Models through the Use of Data Mining Techniques
Q38687414A Novel Approach to Predict the Growth of Staphylococcus aureus on Rice Cake
Q42071225A Prospective Study of Comparison of APACHE-IV & SAPS-II Scoring Systems and Calculation of Standardised Mortality Rate in Severe Sepsis and Septic Shock Patients
Q73853105A clinical evaluation of an alternating-pressure mattress replacement system in hospital and residential care settings
Q45324196A clinical-biological risk stratification model for resected gastric cancer: prognostic impact of Her2, Fhit, and APC expression status.
Q35571313A comparison of three scoring systems for mortality risk among retrieved intensive care patients
Q37265113A modified sequential organ failure assessment score for critical care triage.
Q34604436A review of evidence of health benefit from artificial neural networks in medical intervention
Q51367238Accuracy and reliability of APACHE II scoring in two intensive care units Problems and pitfalls in the use of APACHE II and suggestions for improvement
Q24791128Assessment of performance of four mortality prediction systems in a Saudi Arabian intensive care unit
Q24796183Assessment of six mortality prediction models in patients admitted with severe sepsis and septic shock to the intensive care unit: a prospective cohort study
Q30900371Automated physician order recommendations and outcome predictions by data-mining electronic medical records
Q33183155Auxiliary partial orthotopic versus standard orthotopic whole liver transplantation for acute liver failure: a reappraisal from a single center by a case-control study.
Q57778920Body mass index
Q43740352By Desperate Appliance Relieved? On the Clinical Relevance of Risk Stratification to Therapeutic Decision-Making
Q34833819Cancer history, bandemia, and serum creatinine are independent mortality predictors in patients with infection-precipitated hyperglycemic crises
Q41545919Case mix adjustment in comparative audit
Q28755914Clinical review: allocating ventilators during large-scale disasters--problems, planning, and process
Q37008727Comparison of P-POSSUM and O-POSSUM in predicting mortality after oesophagogastric resections
Q47734515Comparison of the predictive power of the LODS and APACHE II scoring systems in a neurological intensive care unit
Q47405135Comparison of three severity scores for critically ill cancer patients
Q33726062Complications, comorbidities, and mortality: improving classification and prediction
Q36816489Consensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address Challenges
Q33608229Critical Analysis of PIM2 Score Applicability in a Tertiary Care PICU in Western India.
Q36369595Decaying relevance of clinical data towards future decisions in data-driven inpatient clinical order sets
Q48473403Development of a daily mortality probability prediction model from Intensive Care Unit patients using a discrete-time event history analysis
Q52173974Development of a pediatric multiple organ dysfunction score: use of two strategies
Q51223543Device-associated infection rate and mortality in intensive care units of 9 Colombian hospitals: findings of the International Nosocomial Infection Control Consortium
Q42407208Disease-specific scoring or generic scoring in ICU?
Q40840158Early predictive factors of survival in the acute respiratory distress syndrome. A multivariate analysis
Q52979450Effect of training and strict guidelines on the reliability of risk adjustment systems in paediatric intensive care
Q52237618Evaluation of Acute Physiology and Chronic Health Evaluation III predictions of hospital mortality in an independent database
Q51928822Evaluation of P-POSSUM and CR-POSSUM scores in patients with colorectal cancer undergoing resection.
Q52034056Evaluation of POSSUM in patients with oesophageal cancer undergoing resection
Q84115690Evaluation of the efficiency of care in the ICU
Q71752764Evaluation of trauma care: validation of the TRISS method in an Italian ICU
Q53356646Evaluation of two outcome prediction models on an independent database
Q80477469External validation of bedside prediction score for diagnosis of late-onset neonatal sepsis
Q35559371Extracorporeal cell therapy of septic shock patients with donor granulocytes: a pilot study
Q30399530Failure of combination oral oseltamivir and inhaled zanamivir antiviral treatment in ventilator- and ECMO-treated critically ill patients with pandemic influenza A (H1N1)v
Q30977047Frequency of laboratory test utilization in the intensive care unit and its implications for large-scale data collection efforts.
Q53623045Futile care in the pediatric intensive care unit: ethical and economic considerations
Q33988116Growth limits of Listeria monocytogenes as a function of temperature, pH, NaCl, and lactic acid
Q40934619ICU scoring systems allow prediction of patient outcomes and comparison of ICU performance
Q41137812ICU scoring systems do not allow prediction of patient outcomes or comparison of ICU performance
Q37024123Impact of major non-cardiac complications on outcome following cardiac surgery procedures: logistic regression analysis in a very recent patient cohort†
Q42013366Inpatient disposition classification for the creation of hospital surge capacity: a multiphase study
Q80675836Life-threatening adverse drug reactions at admission to medical intensive care: a prospective study in a teaching hospital
Q37487697Local and systemic consequences of large retroperitoneal clot burdens
Q35564897Mapping physicians' admission diagnoses to structured concepts towards fully automatic calculation of acute physiology and chronic health evaluation score
Q40872976Measurement properties of the Clinical Risk Index for Babies-Reliability, validity beyond the first 12 hours, and responsiveness over 7 days
Q37279786Model for predicting short-term mortality of severe sepsis
Q95820415Mortality prediction model is preferable to APACHE
Q34480769Mortality prediction using SAPS II: an update for French intensive care units
Q44934896Mortality risk factors and validation of severity scoring systems in critically ill patients with acute renal failure.
Q44213249Nephrology consultation in acute renal failure: does timing matter?
Q35020328Obstetric critical care: A prospective analysis of clinical characteristics, predictability, and fetomaternal outcome in a new dedicated obstetric intensive care unit
Q35704072OrderRex: clinical order decision support and outcome predictions by data-mining electronic medical records
Q52889776Outcome prediction for individual intensive care patients: useful, misused, or abused?
Q36306486Outcomes and Health-related Quality of Life following Intensive Care Unit Stay in Barbados
Q51598934Pediatric risk of mortality and hospital infection
Q33653381Performance of the Pediatric Index of Mortality 2 in a pediatric intensive care unit
Q24795103Performance of the score systems Acute Physiology and Chronic Health Evaluation II and III at an interdisciplinary intensive care unit, after customization
Q83463179Potential drug-drug interactions associated with prolonged stays in the intensive care unit: a retrospective cohort study
Q55039277Predicting Low Information Laboratory Diagnostic Tests.
Q33358264Predicting outcome after traumatic brain injury: development and international validation of prognostic scores based on admission characteristics.
Q33751176Predicting six-month mortality of patients with traumatic brain injury: usefulness of common intensive care severity scores
Q47261866Prediction of mortality in an Indian intensive care unit. Comparison between APACHE II and artificial neural networks
Q73874618Prediction of poor outcome of intensive care unit patients admitted from the emergency department
Q26825553Prognostic categorization of intensive care septic patients
Q34957141Prognostic impact of alternative splicing-derived hMENA isoforms in resected, node-negative, non-small-cell lung cancer.
Q36375597Prognostic performance of the Simplified Acute Physiology Score II in major Croatian hospitals: a prospective multicenter study
Q44398396Prognostic scores for cirrhotic patients admitted to an intensive care unit: Which consequences for liver transplantation?
Q36979635Pulmonary leptospirosis: an excellent response to bolus methylprednisolone
Q42773791Quality improvement report: Linking guideline to regular feedback to increase appropriate requests for clinical tests: blood gas analysis in intensive care
Q51692657Recruitment maneuvers during lung protective ventilation in acute respiratory distress syndrome
Q36847056Review of the acuity scoring systems for the pediatric intensive care unit and their use in quality improvement
Q27000953Scoring systems in the intensive care unit: A compendium
Q45750249Severity of illness models for respiratory syncytial virus-associated hospitalization
Q77114733Simplified Acute Physiology Score II for measuring severity of illness in intermediate care units
Q77628461Snap-II predicts severe intraventricular hemorrhage and chronic lung disease in the neonatal intensive care unit
Q37401111Sociodemographic and clinical characteristics are not clinically useful predictors of refill adherence in patients with hypertension
Q33517867Stratification of the severity of critically ill patients with classification trees
Q42599826Subjective versus statistical model assessment of mortality risk in open heart surgical procedures
Q33390504Support vector machine versus logistic regression modeling for prediction of hospital mortality in critically ill patients with haematological malignancies
Q90193698The Pros and Cons of the Prediction Game: The Never-ending Debate of Mortality in the Intensive Care Unit
Q52199575The influence of length of stay in the ICU on power of discrimination of a multipurpose severity score (SAPS). ARCHIDIA.
Q36277258The influence of missing components of the Acute Physiology Score of APACHE III on the measurement of ICU performance
Q52289764The performance of SAPS II in a cohort of patients admitted to 99 Italian ICUs: results from GiViTI. Gruppo Italiano per la Valutazione degli interventi in Terapia Intensiva
Q59649420The state of research on multipurpose severity of illness scoring systems: are we on target?
Q36294867The use of severity scores in the intensive care unit
Q73218904Triaging patients to the ICU: a pilot study of factors influencing admission decisions and patient outcomes
Q56798174Use of the mean, hot deck and multiple imputation techniques to predict outcome in intensive care unit patients in Colombia
Q33708308Using large-scale databases to measure outcomes in critical care
Q33864032Validation of "Signs of Inflammation in Children that Kill" (SICK) score for immediate non-invasive assessment of severity of illness
Q46459899Validation of Liano score in acute renal failure: a prospective study in Indian patients
Q39185395Validation of the Hong Kong Liver Cancer Staging System in Determining Prognosis of the North American Patients Following Intra-arterial Therapy
Q24670384Validation of the Rockall risk scoring system in upper gastrointestinal bleeding
Q34749988Validation of the pneumonia severity index. Importance of study-specific recalibration
Q77475890Value of the Hannover Intensive Score (HIS) in internal medicine intensive care
Q74282810[Application of the Simplified Acute Physiology Score II (SAPS II) in a medical intensive care unit]
Q83856852[Prognostic estimation in critical patients. Validation of a new and very simple system of prognostic estimation of survival in an intensive care unit]
Q80606586[Scoring systems for daily assessment in intensive care medicine. Overview, current possibilities and demands on new developments]

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