Full Text Journal Articles by
Author Andrew A Kramer

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The authors reply.

Andrew A Kramer, Jack E Zimmerman, William A Knaus,

Crit Care Med (Critical care medicine)
[2021, 49(11):e1177]

Cited: 0 times

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Severity of Illness and Predictive Models in Society of Critical Care Medicine's First 50 Years: A Tale of Concord and Conflict.

Andrew A Kramer, Jack E Zimmerman, William A Knaus,

Crit Care Med (Critical care medicine)
[2021, 49(5):728-740]

Cited: 0 times

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Just What in the Heck Is a "Prolonged Time" on Mechanical Ventilation?

Andrew A Kramer,

Crit Care Med (Critical care medicine)
[2020, 48(11):1698-1699]

Cited: 0 times

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A review of early warning systems for prompt detection of patients at risk for clinical decline.

Andrew A Kramer, Frank Sebat, Matthew Lissauer,

Early Warning Scores (EWS) are a composite evaluation of a patient's basic physiology, changes of which are the first indicators of clinical decline and are used to prompt further patient assessment and when indicated intervention. These are sometimes referred to as "track and triggers systems" with tracking meant to denote ... Read more >>

J Trauma Acute Care Surg (The journal of trauma and acute care surgery)
[2019, 87(1S Suppl 1):S67-S73]

Cited: 6 times

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A Different Type of "Obesity Paradox".

Andrew A Kramer,

Crit Care Med (Critical care medicine)
[2019, 47(2):300-301]

Cited: 1 time

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When Using Biomarkers in Alerts, Timing Is Everything.

Andrew A Kramer,

Crit Care Med (Critical care medicine)
[2018, 46(12):2050-2051]

Cited: 0 times

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A Self-Fulfilling Hypothesis.

Andrew A Kramer,

Crit Care Med (Critical care medicine)
[2018, 46(1):158-159]

Cited: 0 times

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The Impact of Mortality on Total Costs Within the ICU.

Andrew A Kramer, Joseph F Dasta, Sandra L Kane-Gill,

<h4>Objectives</h4>The high cost of critical care has engendered research into identifying influential factors. However, existing studies have not considered patient vital status at ICU discharge. This study sought to determine the effect of mortality upon the total cost of an ICU stay.<h4>Design</h4>Retrospective cohort study.<h4>Setting</h4>Twenty-six ICUs at 13 hospitals in the ... Read more >>

Crit Care Med (Critical care medicine)
[2017, 45(9):1457-1463]

Cited: 15 times

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Group Therapy in the ICU.

Andrew A Kramer,

Crit Care Med (Critical care medicine)
[2017, 45(10):1775-1776]

Cited: 0 times

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Cumulative Probability and Time to Reintubation in U.S. ICUs.

Andrea N Miltiades, Hayley B Gershengorn, May Hua, Andrew A Kramer, Guohua Li, Hannah Wunsch,

<h4>Objective</h4>Reintubation after liberation from mechanical ventilation is viewed as an adverse event in ICUs. We sought to describe the frequency of reintubations across U.S. ICUs and to propose a standard, appropriate time cutoff for reporting of reintubation events.<h4>Design and setting</h4>We conducted a cohort study using data from the Project IMPACT ... Read more >>

Crit Care Med (Critical care medicine)
[2017, 45(5):835-842]

Cited: 12 times

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Are ICU Length of Stay Predictions Worthwhile?

Andrew A Kramer,

Crit Care Med (Critical care medicine)
[2017, 45(2):379-380]

Cited: 2 times

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Comparing Time-Fixed Mortality Prediction Models and Their Effect on ICU Performance Metrics Using the Simplified Acute Physiology Score 3.

Lars Engerström, Andrew A Kramer, Thomas Nolin, Folke Sjöberg, Göran Karlström, Mats Fredrikson, Sten M Walther,

<h4>Objectives</h4>To examine ICU performance based on the Simplified Acute Physiology Score 3 using 30-day, 90-day, or 180-day mortality as outcome measures and compare results with 30-day mortality as reference.<h4>Design</h4>Retrospective cohort study of ICU admissions from 2010 to 2014.<h4>Setting</h4>Sixty-three Swedish ICUs that submitted data to the Swedish Intensive Care Registry.<h4>Patients</h4>The development ... Read more >>

Crit Care Med (Critical care medicine)
[2016, 44(11):e1038-e1044]

Cited: 6 times

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Variations in Case-Mix-Adjusted Duration of Mechanical Ventilation Among ICUs.

Andrew A Kramer, Hayley B Gershengorn, Hannah Wunsch, Jack E Zimmerman,

<h4>Objectives</h4>To develop a model that predicts the duration of mechanical ventilation and then to use this model to compare observed versus expected duration of mechanical ventilation across ICUs.<h4>Design</h4>Retrospective cohort analysis.<h4>Setting</h4>Eighty-six eligible ICUs at 48 U.S. hospitals.<h4>Patients</h4>ICU patients receiving mechanical ventilation on day 1 (n = 56,336) admitted from January 2013 to ... Read more >>

Crit Care Med (Critical care medicine)
[2016, 44(6):1042-1048]

Cited: 3 times

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A Flock of Birds, a Cluster of ICUs.

Andrew A Kramer,

Crit Care Med (Critical care medicine)
[2016, 44(5):1016-1017]

Cited: 0 times

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Utilizing electronic health records to predict acute kidney injury risk and outcomes: workgroup statements from the 15(th) ADQI Consensus Conference.

Scott M Sutherland, Lakhmir S Chawla, Sandra L Kane-Gill, Raymond K Hsu, Andrew A Kramer, Stuart L Goldstein, John A Kellum, Claudio Ronco, Sean M Bagshaw, ,

The data contained within the electronic health record (EHR) is "big" from the standpoint of volume, velocity, and variety. These circumstances and the pervasive trend towards EHR adoption have sparked interest in applying big data predictive analytic techniques to EHR data. Acute kidney injury (AKI) is a condition well suited ... Read more >>

Can J Kidney Health Dis (Canadian journal of kidney health and disease)
[2016, 3:11]

Cited: 34 times

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Can this patient be safely discharged from the ICU?

Andrew A Kramer, Thomas L Higgins, Jack E Zimmerman,

Intensive Care Med (Intensive care medicine)
[2016, 42(4):580-582]

Cited: 2 times

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The authors reply.

Eelco F M Wijdicks, Andrew A Kramer, Thomas Rohs,

Crit Care Med (Critical care medicine)
[2015, 43(10):e472-3]

Cited: 0 times

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Effect of published scientific evidence on glycemic control in adult intensive care units.

Daniel J Niven, Gordon D Rubenfeld, Andrew A Kramer, Henry T Stelfox,

<h4>Importance</h4>Little is known about the deadoption of ineffective or harmful clinical practices. A large clinical trial (the Normoglycemia in Intensive Care Evaluation and Survival Using Glucose Algorithm Regulation [NICE-SUGAR] trial) demonstrated that strict blood glucose control (tight glycemic control) in patients admitted to adult intensive care units (ICUs) should be ... Read more >>

JAMA Intern Med (JAMA internal medicine)
[2015, 175(5):801-809]

Cited: 42 times

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Comparing observed and predicted mortality among ICUs using different prognostic systems: why do performance assessments differ?

Andrew A Kramer, Thomas L Higgins, Jack E Zimmerman,

<h4>Objectives</h4>To compare ICU performance using standardized mortality ratios generated by the Acute Physiology and Chronic Health Evaluation IVa and a National Quality Forum-endorsed methodology and examine potential reasons for model-based standardized mortality ratio differences.<h4>Design</h4>Retrospective analysis of day 1 hospital mortality predictions at the ICU level using Acute Physiology and Chronic ... Read more >>

Crit Care Med (Critical care medicine)
[2015, 43(2):261-269]

Cited: 12 times

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Comparison of the Full Outline of UnResponsiveness score and the Glasgow Coma Scale in predicting mortality in critically ill patients*.

Eelco F M Wijdicks, Andrew A Kramer, Thomas Rohs, Susan Hanna, Farid Sadaka, Jacklyn O'Brien, Shonna Bible, Stacy M Dickess, Michelle Foss,

<h4>Objective</h4>Impaired consciousness has been incorporated in prediction models that are used in the ICU. The Glasgow Coma Scale has value but is incomplete and cannot be assessed in intubated patients accurately. The Full Outline of UnResponsiveness score may be a better predictor of mortality in critically ill patients.<h4>Setting</h4>Thirteen ICUs at ... Read more >>

Crit Care Med (Critical care medicine)
[2015, 43(2):439-444]

Cited: 19 times

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A history of outcome prediction in the ICU.

Jack E Zimmerman, Andrew A Kramer,

<h4>Purpose of review</h4>There are few first-hand accounts that describe the history of outcome prediction in critical care. This review summarizes the authors' personal perspectives about the development and evolution of Acute Physiology and Chronic Health Evaluation over the past 35 years.<h4>Recent findings</h4>We emphasize what we have learned in the past ... Read more >>

Curr Opin Crit Care (Current opinion in critical care)
[2014, 20(5):550-556]

Cited: 11 times

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Comparison of the Mortality Probability Admission Model III, National Quality Forum, and Acute Physiology and Chronic Health Evaluation IV hospital mortality models: implications for national benchmarking*.

Andrew A Kramer, Thomas L Higgins, Jack E Zimmerman,

<h4>Objective</h4>To examine the accuracy of the original Mortality Probability Admission Model III, ICU Outcomes Model/National Quality Forum modification of Mortality Probability Admission Model III, and Acute Physiology and Chronic Health Evaluation IVa models for comparing observed and risk-adjusted hospital mortality predictions.<h4>Design</h4>Retrospective paired analyses of day 1 hospital mortality predictions using ... Read more >>

Crit Care Med (Critical care medicine)
[2014, 42(3):544-553]

Cited: 15 times

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ICU occupancy and mechanical ventilator use in the United States.

Hannah Wunsch, Jason Wagner, Maximilian Herlim, David H Chong, Andrew A Kramer, Scott D Halpern,

<h4>Objectives</h4>Detailed data on occupancy and use of mechanical ventilators in U. S. ICU over time and across unit types are lacking. We sought to describe the hourly bed occupancy and use of ventilators in U.S. ICUs to improve future planning of both the routine and disaster provision of intensive care.<h4>Design</h4>Retrospective ... Read more >>

Crit Care Med (Critical care medicine)
[2013, 41(12):2712-2719]

Cited: 89 times

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Quality assessing the quality assessment*.

Andrew A Kramer,

Crit Care Med (Critical care medicine)
[2013, 41(8):2040-2041]

Cited: 0 times

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Changes in hospital mortality for United States intensive care unit admissions from 1988 to 2012.

Jack E Zimmerman, Andrew A Kramer, William A Knaus,

<h4>Introduction</h4>A decrease in disease-specific mortality over the last twenty years has been reported for patients admitted to United States (US) hospitals, but data for intensive care patients are lacking. The aim of this study was to describe changes in hospital mortality and case-mix using clinical data for patients admitted to ... Read more >>

Crit Care (Critical care (London, England))
[2013, 17(2):R81]

Cited: 137 times

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