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Connection

Dana Edelson to Middle Aged

This is a "connection" page, showing publications Dana Edelson has written about Middle Aged.
Connection Strength

1.229
  1. Causes, Diagnostic Testing, and Treatments Related to Clinical Deterioration Events Among High-Risk Ward Patients. Crit Care Explor. 2024 Oct 01; 6(10):e1161.
    View in: PubMed
    Score: 0.063
  2. Early Warning Scores With and Without Artificial Intelligence. JAMA Netw Open. 2024 Oct 01; 7(10):e2438986.
    View in: PubMed
    Score: 0.063
  3. Determining the Electronic Signature of Infection in Electronic Health Record Data. Crit Care Med. 2021 07 01; 49(7):e673-e682.
    View in: PubMed
    Score: 0.050
  4. Validation of Early Warning Scores at Two Long-Term Acute Care Hospitals. Crit Care Med. 2019 12; 47(12):e962-e965.
    View in: PubMed
    Score: 0.045
  5. Validating the Electronic Cardiac Arrest Risk Triage (eCART) Score for Risk Stratification of Surgical Inpatients in the Postoperative Setting: Retrospective Cohort Study. Ann Surg. 2019 06; 269(6):1059-1063.
    View in: PubMed
    Score: 0.044
  6. Comparison of the Between the Flags calling criteria to the MEWS, NEWS and the electronic Cardiac Arrest Risk Triage (eCART) score for the identification of deteriorating ward patients. Resuscitation. 2018 02; 123:86-91.
    View in: PubMed
    Score: 0.039
  7. Investigating the Impact of Different Suspicion of Infection Criteria on the Accuracy of Quick Sepsis-Related Organ Failure Assessment, Systemic Inflammatory Response Syndrome, and Early Warning Scores. Crit Care Med. 2017 Nov; 45(11):1805-1812.
    View in: PubMed
    Score: 0.039
  8. Quick Sepsis-related Organ Failure Assessment, Systemic Inflammatory Response Syndrome, and Early Warning Scores for Detecting Clinical Deterioration in Infected Patients outside the Intensive Care Unit. Am J Respir Crit Care Med. 2017 04 01; 195(7):906-911.
    View in: PubMed
    Score: 0.037
  9. Real-Time Risk Prediction on the Wards: A Feasibility Study. Crit Care Med. 2016 08; 44(8):1468-73.
    View in: PubMed
    Score: 0.036
  10. Association between intensive care unit transfer delay and hospital mortality: A multicenter investigation. J Hosp Med. 2016 11; 11(11):757-762.
    View in: PubMed
    Score: 0.036
  11. Testing the functional assessment of mentation: A mobile application based assessment of mental status. J Hosp Med. 2016 07; 11(7):463-6.
    View in: PubMed
    Score: 0.035
  12. The value of vital sign trends for detecting clinical deterioration on the wards. Resuscitation. 2016 May; 102:1-5.
    View in: PubMed
    Score: 0.035
  13. Incidence and Prognostic Value of the Systemic Inflammatory Response Syndrome and Organ Dysfunctions in Ward Patients. Am J Respir Crit Care Med. 2015 Oct 15; 192(8):958-64.
    View in: PubMed
    Score: 0.034
  14. Comparison of mental-status scales for predicting mortality on the general wards. J Hosp Med. 2015 Oct; 10(10):658-63.
    View in: PubMed
    Score: 0.034
  15. Differences in vital signs between elderly and nonelderly patients prior to ward cardiac arrest. Crit Care Med. 2015 Apr; 43(4):816-22.
    View in: PubMed
    Score: 0.033
  16. Multicenter development and validation of a risk stratification tool for ward patients. Am J Respir Crit Care Med. 2014 Sep 15; 190(6):649-55.
    View in: PubMed
    Score: 0.031
  17. Relationship between ICU bed availability, ICU readmission, and cardiac arrest in the general wards. Crit Care Med. 2014 Sep; 42(9):2037-41.
    View in: PubMed
    Score: 0.031
  18. Using electronic health record data to develop and validate a prediction model for adverse outcomes in the wards*. Crit Care Med. 2014 Apr; 42(4):841-8.
    View in: PubMed
    Score: 0.030
  19. Optimal loop duration during the provision of in-hospital advanced life support (ALS) to patients with an initial non-shockable rhythm. Resuscitation. 2014 Jan; 85(1):75-81.
    View in: PubMed
    Score: 0.029
  20. A prospective study of nighttime vital sign monitoring frequency and risk of clinical deterioration. JAMA Intern Med. 2013 Sep 09; 173(16):1554-5.
    View in: PubMed
    Score: 0.029
  21. Predicting clinical deterioration in the hospital: the impact of outcome selection. Resuscitation. 2013 May; 84(5):564-8.
    View in: PubMed
    Score: 0.027
  22. Derivation of a cardiac arrest prediction model using ward vital signs*. Crit Care Med. 2012 Jul; 40(7):2102-8.
    View in: PubMed
    Score: 0.027
  23. Predicting cardiac arrest on the wards: a nested case-control study. Chest. 2012 May; 141(5):1170-1176.
    View in: PubMed
    Score: 0.026
  24. Patient acuity rating: quantifying clinical judgment regarding inpatient stability. J Hosp Med. 2011 Oct; 6(8):475-9.
    View in: PubMed
    Score: 0.025
  25. Safety and efficacy of defibrillator charging during ongoing chest compressions: a multi-center study. Resuscitation. 2010 Nov; 81(11):1521-6.
    View in: PubMed
    Score: 0.024
  26. Capnography and chest-wall impedance algorithms for ventilation detection during cardiopulmonary resuscitation. Resuscitation. 2010 Mar; 81(3):317-22.
    View in: PubMed
    Score: 0.023
  27. Effects of compression depth and pre-shock pauses predict defibrillation failure during cardiac arrest. Resuscitation. 2006 Nov; 71(2):137-45.
    View in: PubMed
    Score: 0.018
  28. Development and Validation of a Machine Learning Model for Early Detection of Untreated Infection. Crit Care Explor. 2024 Oct 01; 6(10):e1165.
    View in: PubMed
    Score: 0.016
  29. Development and Validation of a Machine Learning COVID-19 Veteran (COVet) Deterioration Risk Score. Crit Care Explor. 2024 Jul 01; 6(7):e1116.
    View in: PubMed
    Score: 0.015
  30. Development and external validation of deep learning clinical prediction models using variable-length time series data. J Am Med Inform Assoc. 2024 May 20; 31(6):1322-1330.
    View in: PubMed
    Score: 0.015
  31. Comparison of Machine Learning Methods for Predicting Outcomes After In-Hospital Cardiac Arrest. Crit Care Med. 2022 02 01; 50(2):e162-e172.
    View in: PubMed
    Score: 0.013
  32. Internal and External Validation of a Machine Learning Risk Score for Acute Kidney Injury. JAMA Netw Open. 2020 08 03; 3(8):e2012892.
    View in: PubMed
    Score: 0.012
  33. Accuracy of Clinicians' Ability to Predict the Need for Intensive Care Unit Readmission. Ann Am Thorac Soc. 2020 07; 17(7):847-853.
    View in: PubMed
    Score: 0.012
  34. Comparison of Early Warning Scoring Systems for Hospitalized Patients With and Without Infection at Risk for In-Hospital Mortality and Transfer to the Intensive Care Unit. JAMA Netw Open. 2020 05 01; 3(5):e205191.
    View in: PubMed
    Score: 0.012
  35. Characteristics of Rapid Response Calls in the United States: An Analysis of the First 402,023 Adult Cases From the Get With the Guidelines Resuscitation-Medical Emergency Team Registry. Crit Care Med. 2019 10; 47(10):1283-1289.
    View in: PubMed
    Score: 0.011
  36. Predictors of In-Hospital Mortality After Rapid Response Team Calls in a 274 Hospital Nationwide Sample. Crit Care Med. 2018 07; 46(7):1041-1048.
    View in: PubMed
    Score: 0.010
  37. The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model. Crit Care Med. 2018 07; 46(7):1070-1077.
    View in: PubMed
    Score: 0.010
  38. Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data. Ann Am Thorac Soc. 2018 07; 15(7):846-853.
    View in: PubMed
    Score: 0.010
  39. Implications of Centers for Medicare & Medicaid Services Severe Sepsis and Septic Shock Early Management Bundle and Initial Lactate Measurement on the Management of Sepsis. Chest. 2018 08; 154(2):302-308.
    View in: PubMed
    Score: 0.010
  40. Electronic cardiac arrest triage score best predicts mortality after intervention in patients with massive and submassive pulmonary embolism. Catheter Cardiovasc Interv. 2018 08 01; 92(2):366-371.
    View in: PubMed
    Score: 0.010
  41. Association Between Opioid and Benzodiazepine Use and Clinical Deterioration in Ward Patients. J Hosp Med. 2017 06; 12(6):428-434.
    View in: PubMed
    Score: 0.009
  42. Mechanical chest compressions improve rate of return of spontaneous circulation and allow for initiation of percutaneous circulatory support during cardiac arrest in the cardiac catheterization laboratory. Resuscitation. 2017 06; 115:56-60.
    View in: PubMed
    Score: 0.009
  43. Association Between In-Hospital Critical Illness Events and Outcomes in Patients on the Same Ward. JAMA. 2016 12 27; 316(24):2674-2675.
    View in: PubMed
    Score: 0.009
  44. Location of In-Hospital Cardiac Arrest in the United States-Variability in Event Rate and Outcomes. J Am Heart Assoc. 2016 09 29; 5(10).
    View in: PubMed
    Score: 0.009
  45. Development of a Multicenter Ward-Based AKI Prediction Model. Clin J Am Soc Nephrol. 2016 11 07; 11(11):1935-1943.
    View in: PubMed
    Score: 0.009
  46. Physiologic monitoring of CPR quality during adult cardiac arrest: A propensity-matched cohort study. Resuscitation. 2016 09; 106:76-82.
    View in: PubMed
    Score: 0.009
  47. Obstructive sleep apnea and adverse outcomes in surgical and nonsurgical patients on the wards. J Hosp Med. 2015 Sep; 10(9):592-8.
    View in: PubMed
    Score: 0.008
  48. Quantitative relationship between end-tidal carbon dioxide and CPR quality during both in-hospital and out-of-hospital cardiac arrest. Resuscitation. 2015 Apr; 89:149-54.
    View in: PubMed
    Score: 0.008
  49. Racial disparities in outcomes following PEA and asystole in-hospital cardiac arrests. Resuscitation. 2015 Feb; 87:69-74.
    View in: PubMed
    Score: 0.008
  50. Clinical state transitions during advanced life support (ALS) in in-hospital cardiac arrest. Resuscitation. 2013 Sep; 84(9):1238-44.
    View in: PubMed
    Score: 0.007
  51. Early cardiac arrest in patients hospitalized with pneumonia: a report from the American Heart Association's Get With The Guidelines-Resuscitation Program. Chest. 2012 Jun; 141(6):1528-1536.
    View in: PubMed
    Score: 0.006
  52. Perishock pause: an independent predictor of survival from out-of-hospital shockable cardiac arrest. Circulation. 2011 Jul 05; 124(1):58-66.
    View in: PubMed
    Score: 0.006
  53. Neurologic prognostication and bispectral index monitoring after resuscitation from cardiac arrest. Resuscitation. 2010 Sep; 81(9):1133-7.
    View in: PubMed
    Score: 0.006
  54. Rescuer fatigue during actual in-hospital cardiopulmonary resuscitation with audiovisual feedback: a prospective multicenter study. Resuscitation. 2009 Sep; 80(9):981-4.
    View in: PubMed
    Score: 0.005
  55. Derangements in blood glucose following initial resuscitation from in-hospital cardiac arrest: a report from the national registry of cardiopulmonary resuscitation. Resuscitation. 2009 Jun; 80(6):624-30.
    View in: PubMed
    Score: 0.005
  56. CPR quality improvement during in-hospital cardiac arrest using a real-time audiovisual feedback system. Resuscitation. 2007 Apr; 73(1):54-61.
    View in: PubMed
    Score: 0.005
  57. Difficulty of cardiac arrest rhythm identification does not correlate with length of chest compression pause before defibrillation. Crit Care Med. 2006 Dec; 34(12 Suppl):S427-31.
    View in: PubMed
    Score: 0.005
  58. Quality of cardiopulmonary resuscitation during in-hospital cardiac arrest. JAMA. 2005 Jan 19; 293(3):305-10.
    View in: PubMed
    Score: 0.004
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.