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Dive into the research topics where Thomas Ahrens is active.

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Featured researches published by Thomas Ahrens.


Critical Care Medicine | 1999

Effect of a nursing-implemented sedation protocol on the duration of mechanical ventilation.

Alan D. Brook; Thomas Ahrens; Robyn Schaiff; Donna Prentice; Glenda Sherman; William D. Shannon; Marin H. Kollef

OBJECTIVE To compare a practice of protocol-directed sedation during mechanical ventilation implemented by nurses with traditional non-protocol-directed sedation administration. DESIGN Randomized, controlled clinical trial. SETTING Medical intensive care unit (19 beds) in an urban teaching hospital. PATIENTS Patients requiring mechanical ventilation (n = 321). INTERVENTIONS Patients were randomly assigned to receive either protocol-directed sedation (n = 162) or non-protocol-directed sedation (n = 159). MEASUREMENTS AND MAIN RESULTS The median duration of mechanical ventilation was 55.9 hrs (95% confidence interval, 41.0-90.0 hrs) for patients managed with protocol-directed sedation and 117.0 hrs (95% confidence interval, 96.0-155.6 hrs) for patients receiving non-protocol-directed sedation. Kaplan-Meier analysis demonstrated that patients in the protocol-directed sedation group had statistically shorter durations of mechanical ventilation than patients in the non-protocol-directed sedation group (chi-square = 7.00, p = .008, log rank test; chi-square = 8.54, p = .004, Wilcoxons test; chi-square = 9.18, p = .003, -2 log test). Lengths of stay in the intensive care unit (5.7+/-5.9 days vs. 7.5+/-6.5 days; p = .013) and hospital (14.0+/-17.3 days vs. 19.9+/-24.2 days; p < .001) were also significantly shorter among patients in the protocol-directed sedation group. Among the 132 patients (41.1%) receiving continuous intravenous sedation, those in the protocol-directed sedation group (n = 66) had a significantly shorter duration of continuous intravenous sedation than those in the non-protocol-directed sedation group (n = 66) (3.5+/-4.0 days vs. 5.6+/-6.4 days; p = .003). Patients in the protocol-directed sedation group also had a significantly lower tracheostomy rate compared with patients in the non-protocol-directed sedation group (10 of 162 patients [6.2%] vs. 21 of 159 patients [13.2%], p = .038). CONCLUSIONS The use of protocol-directed sedation can reduce the duration of mechanical ventilation, the intensive care unit and hospital lengths of stay, and the need for tracheostomy among critically ill patients with acute respiratory failure.


Critical Care Medicine | 1999

Clinical predictors and outcomes for patients requiring tracheostomy in the intensive care unit

Marin H. Kollef; Thomas Ahrens; William D. Shannon

OBJECTIVE To identify clinical predictors for tracheostomy among patients requiring mechanical ventilation in the intensive care unit (ICU) setting and to describe the outcomes of patients receiving a tracheostomy. DESIGN Prospective cohort study. SETTING Intensive care units of Barnes-Jewish Hospital, an urban teaching hospital. PATIENTS 521 patients requiring mechanical ventilation in an ICU for >12 hours. INTERVENTIONS Prospective patient surveillance and data collection. MEASUREMENTS AND MAIN RESULTS The main variables studied were hospital mortality, duration of mechanical ventilation, length of stay in the ICU and the hospital, and acquired organ-system derangements. Fifty-one (9.8%) patients received a tracheostomy. The hospital mortality of patients with a tracheostomy was statistically less than the hospital mortality of patients not receiving a tracheostomy (13.7% vs. 26.4%; p = .048), despite having a similar severity of illness at the time of admission to the ICU (Acute Physiology and Chronic Health Evaluation [APACHE] II scores, 19.2 +/- 6.1 vs. 17.8 +/- 7.2; p = .173). Patients receiving a tracheostomy had significantly longer durations of mechanical ventilation (19.5 +/- 15.7 days vs. 4.1 +/- 5.3 days; p < .001) and hospitalization (30.9 +/- 18.1 days vs. 12.8 +/- 10.1 days; p < .001) compared with patients not receiving a tracheostomy. Similarly, the average duration of intensive care was significantly longer among the hospital nonsurvivors receiving a tracheostomy (n = 7) compared with the hospital nonsurvivors without a tracheostomy (n = 124; 30.9 +/- 16.3 days vs. 7.9 +/- 7.3 days; p < .001). Multiple logistic regression analysis demonstrated that the development of nosocomial pneumonia (adjusted odds ratio [AOR], 4.72; 95% confidence interval [CI], 3.24-6.87; p < .001), the administration of aerosol treatments (AOR, 3.00; 95% CI, 2.184.13; p < .001), having a witnessed aspiration event (AOR, 3.79; 95% CI, 2.30-6.24; p = .008), and requiring reintubation (AOR, 2.21; 95% CI, 1.54-3.18; p = .028) were variables independently associated with patients undergoing tracheostomy and receiving prolonged ventilatory support. Among the 44 survivors receiving a tracheostomy in the ICU, 38 (86.4%) were alive 30 days after hospital discharge and 31 (70.5%) were living at home. CONCLUSIONS Despite having longer lengths of stay in the ICU and hospital, patients with respiratory failure who received a tracheostomy had favorable outcomes compared with patients who did not receive a tracheostomy. These data suggest that physicians are capable of selecting critically ill patients who most likely will benefit from placement of a tracheostomy. Additionally, specific clinical variables were identified as risk factors for prolonged ventilatory assistance and the need for tracheostomy.


Critical care nursing quarterly | 1998

Technology utilization in the cardiac surgical patient: SvO2 and capnography monitoring.

Thomas Ahrens

Technology utilization in the cardiac surgical patient has proliferated, despite a lack of evidence that the technology has a positive impact on patient outcomes. Hospitals are left to their own efforts in deciding how and what technology to use. The result is an inconsistent use of technology. The use of structured guidelines can help hospitals improve the use of technology. Two controversial technologies, capnography and mixed venous oxygen saturation monitoring, are analyzed using this approach. It is essential for hospitals to support clinicians as they use methods in the evaluation and implementation of technology. Technology alone will not improve patient outcome or control costs.


Critical care nursing quarterly | 1994

Pulmonary complications of trauma.

Donna Prentice; Thomas Ahrens

Pulmonary complications can be the result of direct chest trauma or can occur from indirect trauma outside of the thorax. Understanding the mechanism of pulmonary function in determining intrapulmonary shunt and physiologic deadspace can assist the clinician in assessing the severity and monitoring the progression of pulmonary injury in patients. This article reviews assessment parameters, physiology, and treatment of direct and indirect pulmonary trauma.


Chest | 1998

The Use of Continuous IV Sedation Is Associated With Prolongation of Mechanical Ventilation

Marin H. Kollef; Nat T. Levy; Thomas Ahrens; Robyn Schaiff; Donna Prentice; Glenda Sherman


American Journal of Critical Care | 2004

Effect Of Kinetic Therapy on Pulmonary Complications

Thomas Ahrens; Marin H. Kollef; Jena Stewart; William D. Shannon


Critical Care Medicine | 2005

VALIDATION OF THE CRITICAL CARE FAMILY SATISFACTION SURVEY BY USE OF INTERNET DATA ENTRY.: 116-S

Daniel E. Ray; Thomas Wasser; Thomas M Ahrens; Robert W. Taylor; Thomas Ahrens; James Thomas; Charles Owen


Archive | 2006

Critical Care Nursing Certification: Preparation, Review and Practice Exams

Donna Prentice; Thomas Ahrens; Ruth M. Kleinpell


Critical Care Medicine | 2006

COMPARISON OF THREE NEW GENERATION PULSE OXIMETERS IN A MEDICAL INTENSIVE CARE UNIT. THOMAS S. AHRENS, KELLY OTT, DEPARTMENT OF NURSING, BARNES-JEWISH HOSPITAL, ST. LOUIS MO.: 311

Thomas Ahrens; Kelly Ott


Critical Care Medicine | 2005

USE OF AN INTERNET BASED SYSTEM TO COLLECT BENCHMARKING DATA ON ICU PERFORMANCE USING THE CRITICAL CARE FAMILY SATISFACTION SURVEY (CCFSS).: 114-S

Daniel E. Ray; Thomas Wasser; Thomas M Ahrens; Robert W. Taylor; Thomas Ahrens; James Thomas; Charles Owen

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Donna Prentice

Washington University in St. Louis

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Marin H. Kollef

Washington University in St. Louis

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William D. Shannon

Washington University in St. Louis

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Glenda Sherman

Washington University in St. Louis

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Thomas Wasser

Pennsylvania State University

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Alan D. Brook

Washington University in St. Louis

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