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Critical Care

Last 50 Critical Care Postings

(Click on title to be directed to posting, most recent listed first, CME offerings in Bold)

Management of Refractory Hypoxemic Respiratory Failure secondary to
   Diffuse Alveolar Hemorrhage with Venovenous Extracorporeal Membrane
   Oxygenation
Amniotic Fluid Embolism: A Case Study and Literature Review
April 2019 Critical Care Case of the Month: A Severe Drinking
   Problem
Ultrasound for Critical Care Physicians: An Unexpected Target Lesion
January 2019 Critical Care Case of the Month: A 32-Year-Old Woman
   with Cardiac Arrest
The Explained Variance and Discriminant Accuracy of APACHE IVa 
   Severity Scoring in Specific Subgroups of ICU Patients
Ultrasound for Critical Care Physicians: Characteristic Findings in a 
   Complicated Effusion
October 2018 Critical Care Case of the Month: A Pain in the Neck
Ultrasound for Critical Care Physicians: Who Stole My Patient’s Trachea?
August 2018 Critical Care Case of the Month
Ultrasound for Critical Care Physicians: Caught in the Act
July 2018 Critical Care Case of the Month
June 2018 Critical Care Case of the Month
Fatal Consequences of Synergistic Anticoagulation
May 2018 Critical Care Case of the Month
Airway Registry and Training Curriculum Improve Intubation Outcomes in 
   the Intensive Care Unit
April 2018 Critical Care Case of the Month
Increased Incidence of Eosinophilia in Severe H1N1 Pneumonia during 2015
   Influenza Season
March 2018 Critical Care Case of the Month
Ultrasound for Critical Care Physicians: Ghost in the Machine
February 2018 Critical Care Case of the Month
January 2018 Critical Care Case of the Month
December 2017 Critical Care Case of the Month
November 2017 Critical Care Case of the Month
A New Interventional Bronchoscopy Technique for the Treatment of
   Bronchopleural Fistula
ACE Inhibitor Related Angioedema: A Case Report and Brief Review
Tumor Lysis Syndrome from a Solitary Nonseminomatous Germ Cell Tumor
October 2017 Critical Care Case of the Month
September 2017 Critical Care Case of the Month
August 2017 Critical Care Case of the Month
Telemedicine Using Stationary Hard-Wire Audiovisual Equipment or Robotic 
   Systems in Critical Care: A Brief Review
Carotid Cavernous Fistula: A Case Study and Review
July 2017 Critical Care Case of the Month
High-Sensitivity Troponin I and the Risk of Flow Limiting Coronary Artery 
   Disease in Non-ST Elevation Acute Coronary Syndrome (NSTE-ACS)
June 2017 Critical Care Case of the Month
Clinical Performance of an Interactive Clinical Decision Support System for 
   Assessment of Plasma Lactate in Hospitalized Patients with Organ
   Dysfunction
May 2017 Critical Care Case of the Month
Management of Life Threatening Post-Partum Hemorrhage with HBOC-201 
   in a Jehovah’s Witness
Tracheal Stoma Necrosis: A Case Report
April 2017 Critical Care Case of the Month
March 2017 Critical Care Case of the Month
Ultrasound for Critical Care Physicians: Unchain My Heart
February 2017 Critical Care Case of the Month
January 2017 Critical Care Case of the Month
December 2016 Critical Care Case of the Month
Ultrasound for Critical Care Physicians: A Pericardial Effusion of Uncertain 
   Significance
Corticosteroids and Influenza A associated Acute Respiratory Distress 
   Syndrome
November 2016 Critical Care Case of the Month
October 2016 Critical Care Case of the Month
September 2016 Critical Care Case of the Month

 

For complete critical care listings click here.

The Southwest Journal of Pulmonary and Critical Care publishes articles directed to those who treat patients in the ICU, CCU and SICU including chest physicians, surgeons, pediatricians, pharmacists/pharmacologists, anesthesiologists, critical care nurses, and other healthcare professionals. Manuscripts may be either basic or clinical original investigations or review articles. Potential authors of review articles are encouraged to contact the editors before submission, however, unsolicited review articles will be considered.

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Monday
Apr092018

Airway Registry and Training Curriculum Improve Intubation Outcomes in the Intensive Care Unit

Joshua Malo MD1

Cameron Hypes MD2

Bhupinder Natt MBBS1

Elaine Cristan MD1

Jeremy Greenberg MD1

Katelin Morrissette MD1

Linda Snyder MD1

James Knepler MD1

John Sakles MD2

Kenneth Knox MD1

Jarrod Mosier MD2

1 Department of Medicine, University of Arizona College of Medicine, Tucson, AZ

2 Department of Emergency Medicine, University of Arizona College of Medicine, Tucson, AZ

 

Abstract

Background: Intubation in critically ill patients remains a highly morbid procedure, and the optimal approach is unclear. We sought to improve the safety of intubation by implementing a simulation curriculum and monitoring performance with an airway registry. 

Methods and Methods: This is a prospective, single-center observational study of all intubations performed by the medical intensive care unit (ICU) team over a five-year period. All fellows take part in a simulation curriculum to improve airway management performance and minimize complications. An airway registry form is completed immediately after each intubation to capture relevant patient, operator, and procedural data.  

Results: Over a five-year period, the medical ICU team performed 1411 intubations. From Year 1 to Year 5, there were significant increases in first-attempt success (72.6 vs. 88.0%, p<0.001), use of video laryngoscopy (72.3 vs. 93.5%, p<0.001), and use of neuromuscular blocking agents (73.5 vs. 88.4%, p<0.001). There were concurrent decreases in rates of desaturation (25.6 vs. 17.1%, p=0.01) and esophageal intubations (5 vs. 1%, p=0.009). Low rates of hypotension (8.3%) and cardiac arrest (0.6%) were also observed.

Conclusions: The safety of intubation in critically ill patients can be markedly improved through joint implementation of an airway registry and simulation curriculum.

Introduction

Airway management is one of the highest risk procedures that can be performed in the intensive care unit (ICU). Despite technologic advances in methods for performing intubation, recent studies continue to report frequent adverse events associated with tracheal intubation, and complications occur in up to 40% of procedures (1-3). Even in the absence of anatomic predictors of a difficult airway, critically ill patients are particularly vulnerable to desaturation, hemodynamic instability, and cardiac arrest due to poor physiologic reserve (4, 5). Repeated or prolonged intubation attempts exhaust any physiologic reserve these patients may have, leading to more frequent adverse outcomes (6). Thus, maximizing first attempt success without an adverse event is the goal for airway management in this high-risk population (7, 8).

Much of the clinical practice regarding airway management in the ICU has been extrapolated from studies performed during elective intubations in the operating room (4). In recent years, there has been a greater focus on management strategies and outcomes in critically ill patients in the emergency department (ED) and ICU (3, 9, 10). In 2012, we initiated a comprehensive airway management quality improvement program to measure variables related to airway management in the ICU and identify targeted opportunities for intervention to improve outcomes (11). We first established a prospectively collected registry of all intubations performed in the medical ICU. After evaluation of the first year of data, a simulation-based curriculum for the pulmonary and critical care fellows was developed with a focus on identifying high-risk features, minimizing adverse events, and maximizing first-attempt success. Lastly, research questions were evaluated periodically to identify targeted opportunities for improvement. This paper will describe the outcomes after the first 5 years of our program.

Materials and Methods

This is a prospective single-center observational study of all intubations performed in the medical ICU from January 1, 2012 to December 31, 2016. The study has been granted an exemption from full review and is approved by the University of Arizona Institutional Review Board. The primary outcome of interest was first attempt success, while secondary outcomes included adverse events, drug and device selection, and method of preoxygenation.

This study took place at a large academic medical center with 20+ bed medical ICU. A medical ICU team consisting of an attending intensivist, a pulmonary/critical care or emergency medicine/critical care fellow, and internal medicine, emergency medicine, and occasionally family medicine residents assumes primary management of all patients admitted to the medical ICU service. All patients admitted to the ICU undergoing airway management by the medical ICU team were included in the study.

We have maintained a continuous quality improvement (CQI) database for all episodes of airway management performed by our medical intensive care teams since January 1, 2012. After each intubation, the operators record data pertinent to the procedure, including difficult airway characteristics, drug and device selection, and number of attempts, using a standardized form. The study primary investigator crosschecked a report generated by the electronic health record against the database to ensure forms were completed for all intubations. Forms were reviewed for completeness and internal consistency. Inconsistent or absent data were resolved by interview of the operator. The variables captured in the form have been previously described (11) and are adjusted occasionally to evaluate new variables of interest.

Our Pulmonary and Critical Care Medicine (PCCM) and Critical Care Medicine (CCM) fellowship programs implemented an 11-month, simulation-based airway management curriculum beginning on July 1, 2013. The curriculum is designed to improve situational awareness in the peri-intubation period as well as to emphasize techniques that will optimize chances of first-attempt success while minimizing complications. The general outline for the simulations has been previously described in detail (11). Briefly, the curriculum involves clinical scenarios of varying and generally progressive complexity, each of which is meant to emphasize certain aspects of airway management. As trainees progress, the curriculum emphasizes the identification and mitigation of factors that may decrease the likelihood of first-attempt success and increase the likelihood of complications. The annual fellowship complement includes 14 Pulmonary and Critical Care Medicine fellows and 2 Critical Care Medicine fellows. All fellows participate in the curriculum, which is updated to include recent advances in airway management from the literature and analysis of our own airway registry. A debriefing session following each simulation is used to emphasize specific learning points for the approach to airway management.

Statistical Analysis

Descriptive statistics were calculated for measured variables as means and standard deviations, medians and interquartile ranges (IQR), or proportions as appropriate. Categorical variables were compared using Fisher’s exact test. Comparisons between Year 1 and Year 5 were performed using the Two-Sample Test of Proportions. Categorical variables with multiple groups, such as preoxygenation, Operator PGY, and Device were evaluated with the test for trend using the likelihood ratio test. All statistical analyses were performed with Stata Version 14 (StataCorp, College Station, TX).

Results

During the 60-month study period, there were 1411 intubations performed. The patient and operator characteristics are shown in Table 1 and Table 2, respectively.

Table 1. Patient characteristics.

aSome DACs added over time. Limited mouth opening and secretions added after the first 8 months of data collection.

Table 2. First Operator Characteristics.

During the course of the study, there was no significant change in patient age or gender, the presence of difficult airway characteristics, starting saturation, or percentage of patients intubated after failing noninvasive positive pressure ventilation (NIPPV). There was a trend for decreased intubations resulting from failed extubation. The overall characteristics of intubation attempts are described in Table 3.

Table 3. Intubation characteristics.

There was a significant increase in the number of intubations performed by PCCM operators after the first year of the study (Year 1-5 difference +19%, p<0.001) accompanied by a decrease in intubations performed by internal medicine (Year 1-5 difference -9%, p=0.006) and emergency medicine residents (Year 1-5 difference -10%, p=0.003). Likewise, there was an increase in intubations performed by PGY 4 (Year 1-5 difference +13%, p=0.002) and PGY 6 (Year 1-5 difference +11%, p<0.001) operators with a concurrent decrease in those performed by PGY 2 (Year 1-5 difference -16%, p<0.001) and PGY 3 (Year 1-5 difference -8%, p=0.004) operators.

First-attempt success (FAS) occurred in 80.7% of intubations performed during the study period. The FAS rate increased linearly throughout the study period, with FAS of 72.6% in the first year and 88.0 % in the final year when looking at all operators (p<0.001) (Table 4, Figure 1, next page). 

There was a significant increase in the number of intubations performed by PCCM operators after the first year of the study (Year 1-5 difference +19%, p<0.001) accompanied by a decrease in intubations performed by internal medicine (Year 1-5 difference -9%, p=0.006) and emergency medicine residents (Year 1-5 difference -10%, p=0.003). Likewise, there was an increase in intubations performed by PGY 4 (Year 1-5 difference +13%, p=0.002) and PGY 6 (Year 1-5 difference +11%, p<0.001) operators with a concurrent decrease in those performed by PGY 2 (Year 1-5 difference -16%, p<0.001) and PGY 3 (Year 1-5 difference -8%, p=0.004) operators.

First-attempt success (FAS) occurred in 80.7% of intubations performed during the study period. The FAS rate increased linearly throughout the study period, with FAS of 72.6% in the first year and 88.0 % in the final year when looking at all operators (p<0.001) (Table 4, Figure 1).

Table 4. Outcomes.

 

Figure 1. First-attempt success and complications over time.

For patients intubated by fellows only, FAS increased from 77% to 92% over the 5-year period (p<0.001).

During the entire study period, at least one complication occurred in 28.7% of intubations. The incidence of complications decreased throughout the first 48 months but increased slightly in the final 12 months of the study, driven primarily by an increase in hypotension (Table 4, Figure 2).

Figure 2. Neuromuscular blocking agent (NMBA) use, video laryngoscopy (VL) use, and occurrence of esophageal intubations, desaturation, and hypotension over time.

There was a decrease in the rate of desaturation from the first year to the final year of the study (25.6% to 17.1%, p=0.01). Esophageal intubations also decreased significantly over this time (5% to 1%, p=0.009). Hypotension and cardiac arrest occurred in 8.3% and 0.6% of intubations, respectively, during the entire study period.

There was a trend towards decreased use of midazolam and propofol throughout the study period while the use of etomidate tended to increase, although these changes were not significant (Table 3). A neuromuscular blocking agent (NMBA) was used in 77.4% of intubations during the study period, increasing from the first year to the final year (73.5% to 88.4%, p<0.001), driven primarily by an increase in the use of rocuronium.

There was a significant transition from the use of direct laryngoscopy (DL) to video laryngoscopy (VL) over the course of the study (p<0.001). DL was chosen as the first approach in 22.0% of intubations in the first year and only 2.9% in the final year. Conversely, the use any form of VL on the first attempt increased from 72.3% of intubations in the first year to 93.5% in the final year. Flexible fiber optic intubation was used infrequently during the entire study period, being the first device used in 4.3% of intubations.

Various methods of preoxygenation were used throughout the study period with some form of preoxygenation occurring in 97.5% of intubations. From the first year to the final year of the study, the use of bag-valve-mask (BVM) ventilation tended to decrease (30% to 12.2%) with a concurrent trend in increasing use of NIPPV for preoxygenation (19.4% to 29.7%).

Discussion

Our experience demonstrates that utilization of a comprehensive approach to airway management including an ongoing simulation-based training curriculum and CQI database is associated with an improved first-attempt success rate for the intubation of critically ill patients. This was accompanied by changes in approach to airway management, with increased use of VL and NMBA on the first attempt, as well as an increased proportion of airways being managed by more experienced operators.

While some of the observed improvement in FAS may be attributed to more experienced operators managing the airway on the first attempt, the sharp increase in fellow-level operators after implementation of the curriculum may point to increased fellow confidence or increased recognition of high-risk patients. Furthermore, as adjunctive strategies such as ramp positioning (12-14) and apneic oxygenation (15, 16) have become increasingly recognized as potentially beneficial, a continuous training curriculum provides opportunities for evaluating trainees’ knowledge of these techniques and reinforcing their incorporation into airway management.

We have previously reported on the impact of a simulation-based curriculum on operator confidence, first-attempt success, and procedural complications (11). The combination of this curriculum with a CQI database has a marked effect on the approach to management of these patients. Strategies presented and employed in the curriculum have been informed by previous reports from our database. For example, after demonstrating improved first-attempt success with the use of neuromuscular blockade (17) and video laryngoscopy (18), the didactic portion of our curriculum incorporated these findings, which were rapidly used with increasing frequency in our intensive care unit. The integration of the curriculum and CQI database facilitates adoption of best practices, leading to a significant improvement of first-attempt success rate over a relatively short time span. The continued improvement over the course of five years is likely due to the incorporation of the practices above during this time.

Tools traditionally used for predicting difficulty of airway management have focused primarily on characteristics of an anatomically difficult intubation (19, 20). More recently, there has been an expanded focus on physiologic characteristics that may lead to complications and decreased success of intubation. However, currently available instruments for ICU patients, such as the MACOCHA score, continue to put heavy emphasis on anatomic factors and are not validated for the use of VL (21). We have found difficult airway characteristics associated with decreased FAS in the setting of VL and have focused efforts at minimizing their impact (22). In our population, we noted a consistent improvement in Cormack-Lehane grade and percentage of glottic opening (POGO) score, despite a high prevalence of anatomic difficult airway characteristics. We have also noted a significant decrease in desaturations, esophageal intubations, and a trend towards decreased overall complications. In comparison to other studies of intubation complications in critically ill patients, we found generally lower rates of esophageal intubation (1, 2, 6) and similar (10) or lower rates of desaturation (1, 2) (Table 5).

Table 5. Incidence of complications in the published literature.

Our rate of hypotension is fairly low relative to several other studies (2, 10, 23) despite a fairly inclusive definition (administration of fluid or phenylephrine bolus, initiation or increase of vasopressor infusion). Moreover, cardiac arrest was extremely uncommon in our population, occurring in 0.57% of intubations.

Data regarding optimal approach have been controversial, and randomized trial results do not always coincide with observational studies. Although randomized controlled trials have called into question the benefit of VL (24-27), there are several important limitations to each of these studies to consider when interpreting the comparison between DL and VL. In some, patients were excluded either directly (25) or indirectly (24, 26) for a history of a difficult intubation or anticipated difficult intubation. The use of endotracheal tubes without a stylet may have also influenced outcomes (27).

Our experience is a pragmatic example of the effect of device selection on first attempt success in that we have >1400 patients, operators with varying experience, and have no patients excluded because of potential difficulty. Thus, while randomized trials may be ideal, they are costly and time-consuming and may delay identification and implementation of best practices. The FAS rate in our cohort in its first year was similar to that observed in several of these trials but improved substantially over the 5-year period. One reason for the improved FAS in our study may be the continuous simulation-based training with a focus on video laryngoscopy as the first technique of choice for the majority of airways. In comparison to other widely cited studies of airway management in critically ill patients (1, 21), our cohort demonstrated a very low incidence of difficult airways, only 2% in the final year, despite a similar presence of difficult airway characteristics. This may be an effect of the training program suggesting that perhaps airway training with a global view of airway management focusing on increasing FAS and reducing complications is even more important than equipment considerations.

Our study has several limitations. The single-center, observational nature of this study makes it at risk of bias despite attempts to identify and control for factors that may influence the results. Data forms were completed by the operator, introducing potential for reporting bias, although attempts to minimize this were made by intermittent correlation with the medical record. Although FAS is an accepted outcome for studies evaluating intubation strategies, data regarding mortality or late morbidity were not captured. The increase in hemodynamic complications in the final year is of interest, but data regarding this complication and its consequences were limited and should be a focus of future research. Despite these limitations, the consistent improvement in FAS and low incidence of difficult airways in the final year of the study warrant serious consideration of these findings.

Conclusion

We have found that a comprehensive strategy employing a simulation-based curriculum and continuous quality improvement database was associated with significant improvements in first-attempt success at intubation in critically ill patients throughout the 5-year study period. We suggest that wider adoption of this practice could vastly improve the safety of intubation in this high-risk patient population.

References

  1. Griesdale DE, Bosma TL, Kurth T, Isac G, Chittock DR. Complications of endotracheal intubation in the critically ill. Intensive Care Med. 2008;34(10):1835-42. [CrossRef] [PubMed]
  2. Jaber S, Amraoui J, Lefrant JY, Arich C, Cohendy R, Landreau L, et al. Clinical practice and risk factors for immediate complications of endotracheal intubation in the intensive care unit: a prospective, multiple-center study. Crit Care Med. 2006;34(9):2355-61. [CrossRef] [PubMed]
  3. Lapinsky SE. Endotracheal intubation in the ICU. Crit Care. 2015;19:258. [CrossRef] [PubMed]
  4. Mort TC. The incidence and risk factors for cardiac arrest during emergency tracheal intubation: a justification for incorporating the ASA Guidelines in the remote location. J Clin Anesth. 2004;16(7):508-16. [CrossRef] [PubMed]
  5. Mosier JM, Joshi R, Hypes C, Pacheco G, Valenzuela T, Sakles JC. The Physiologically Difficult Airway. West J Emerg Med. 2015;16(7):1109-17. [CrossRef] [PubMed]
  6. Mort TC. Emergency tracheal intubation: complications associated with repeated laryngoscopic attempts. Anesth Analg. 2004;99(2):607-13, table of contents.  [CrossRef] [PubMed]
  7. Hypes C, Sakles J, Joshi R, Greenberg J, Natt B, Malo J, et al. Failure to achieve first attempt success at intubation using video laryngoscopy is associated with increased complications. Intern Emerg Med. 2017 Dec;12(8):1235-43. [CrossRef] [PubMed]
  8. Park L, Zeng I, Brainard A. Systematic review and meta-analysis of first-pass success rates in emergency department intubation: Creating a benchmark for emergency airway care. Emerg Med Australas. 2017;29(1):40-7. [CrossRef] [PubMed]
  9. Simpson GD, Ross MJ, McKeown DW, Ray DC. Tracheal intubation in the critically ill: a multi-centre national study of practice and complications. Br J Anaesth. 2012;108(5):792-9. [CrossRef] [PubMed]
  10. Smischney NJ, Seisa MO, Heise KJ, Busack KD, Loftsgard TO, Schroeder DR, et al. Practice of Intubation of the Critically Ill at Mayo Clinic. J Intensive Care Med. 2017:885066617691495. [CrossRef] [PubMed]
  11. Mosier JM, Malo J, Sakles JC, Hypes CD, Natt B, Snyder L, et al. The impact of a comprehensive airway management training program for pulmonary and critical care medicine fellows. A three-year experience. Ann Am Thorac Soc. 2015;12(4):539-48. [CrossRef] [PubMed]
  12. Khandelwal N, Khorsand S, Mitchell SH, Joffe AM. Head-Elevated Patient Positioning Decreases Complications of Emergent Tracheal Intubation in the Ward and Intensive Care Unit. Anesth Analg. 2016;122(4):1101-7. [CrossRef] [PubMed]
  13. Ramkumar V, Umesh G, Philip FA. Preoxygenation with 20 masculine head-up tilt provides longer duration of non-hypoxic apnea than conventional preoxygenation in non-obese healthy adults. J Anesth. 2011;25(2):189-94. [CrossRef] [PubMed]
  14. Turner JS, Ellender TJ, Okonkwo ER, Stepsis TM, Stevens AC, Sembroski EG, et al. Feasibility of upright patient positioning and intubation success rates at two academic emergency departments. Am J Emerg Med. 2017. [CrossRef] [PubMed]
  15. Mosier JM, Hypes CD, Sakles JC. Understanding preoxygenation and apneic oxygenation during intubation in the critically ill. Intensive Care Med. 2017;43(2):226-8. [CrossRef] [PubMed]
  16. Sakles JC, Mosier JM, Patanwala AE, Arcaris B, Dicken JM. First Pass Success Without Hypoxemia Is Increased With the Use of Apneic Oxygenation During Rapid Sequence Intubation in the Emergency Department. Acad Emerg Med. 2016;23(6):703-10. [CrossRef] [PubMed]
  17. Mosier JM, Sakles JC, Stolz U, Hypes CD, Chopra H, Malo J, et al. Neuromuscular blockade improves first-attempt success for intubation in the intensive care unit. A propensity matched analysis. Ann Am Thorac Soc. 2015;12(5):734-41. [CrossRef] [PubMed]
  18. Hypes CD, Stolz U, Sakles JC, Joshi RR, Natt B, Malo J, et al. Video Laryngoscopy Improves Odds of first-attempt success at intubation in the intensive care unit. A propensity-matched analysis. Ann Am Thorac Soc. 2016;13(3):382-90. [CrossRef] [PubMed]
  19. Mallampati SR, Gatt SP, Gugino LD, Desai SP, Waraksa B, Freiberger D, et al. A clinical sign to predict difficult tracheal intubation: a prospective study. Can Anaesth Soc J. 1985;32(4):429-34. [CrossRef] [PubMed]
  20. Wilson ME, Spiegelhalter D, Robertson JA, Lesser P. Predicting difficult intubation. Br J Anaesth. 1988;61(2):211-6. [CrossRef] [PubMed]
  21. De Jong A, Molinari N, Terzi N, Mongardon N, Arnal JM, Guitton C, et al. Early identification of patients at risk for difficult intubation in the intensive care unit: development and validation of the MACOCHA score in a multicenter cohort study. Am J Respir Crit Care Med. 2013;187(8):832-9. [CrossRef] [PubMed]
  22. Joshi R, Hypes CD, Greenberg J, Snyder L, Malo J, Bloom JW, et al. Difficult airway characteristics associated with first-attempt failure at intubation using video laryngoscopy in the intensive care unit. Ann Am Thorac Soc. 2017;14(3):368-75. [CrossRef] [PubMed]
  23. Perbet S, De Jong A, Delmas J, Futier E, Pereira B, Jaber S, et al. Incidence of and risk factors for severe cardiovascular collapse after endotracheal intubation in the ICU: a multicenter observational study. Crit Care. 2015;19:257. [CrossRef] [PubMed]
  24. Driver BE, Prekker ME, Moore JC, Schick AL, Reardon RF, Miner JR. Direct versus video laryngoscopy using the c-mac for tracheal intubation in the emergency department, a randomized controlled trial. Acad Emerg Med. 2016;23(4):433-9. [CrossRef] [PubMed]
  25. Griesdale DE, Chau A, Isac G, Ayas N, Foster D, Irwin C, et al. Video-laryngoscopy versus direct laryngoscopy in critically ill patients: a pilot randomized trial. Can J Anaesth. 2012;59(11):1032-9. [CrossRef] [PubMed]
  26. Janz DR, Semler MW, Lentz RJ, Matthews DT, Assad TR, Norman BC, et al. Randomized trial of video laryngoscopy for endotracheal intubation of critically ill adults. Crit Care Med. 2016;44(11):1980-7. [CrossRef] [PubMed]
  27. Lascarrou JB, Boisrame-Helms J, Bailly A, Le Thuaut A, Kamel T, Mercier E, et al. Video laryngoscopy vs direct laryngoscopy on successful first-pass orotracheal intubation among ICU patients: A randomized clinical trial. JAMA. 2017;317(5):483-93. [CrossRef] [PubMed]

Cite as: Malo J, Hypes C, Natt B, Cristan E, Greenberg J, Morrissette K, Snyder L, Knepler J, Sakles J, Knox K, Mosier J. Airway registry and training curriculum improve intubation outcomes in the intensive care unit. Southwest J Pulm Crit Care. 2018;16(4):212-23. doi: https://doi.org/10.13175/swjpcc037-18 PDF 

Monday
Apr022018

April 2018 Critical Care Case of the Month

Clement U. Singarajah, MD

Phoenix VA Medical Center

Phoenix, AZ USA

 

History of Present Illness

A 70-year-old man was admitted for shortness of breath (SOB) secondary to a “COPD exacerbation/ILD”. A pulmonary consult was placed for possible interstitial lung disease (ILD). A thoracic CT scan for pulmonary embolism showed no embolism and no obvious ILD. He was treated for a COPD exacerbation with the usual therapy of antibiotics, steroids, nebulized bronchodilators and oxygen. He started to improve.

A few days later as he was preparing for discharge, the patient suddenly decompensated becoming more SOB (once more proving that this a dangerous time for patients in hospital). There were reports that this began after he choked and perhaps aspirated on some food and drink. His blood pressure remained stable, but he became tachycardic to 130 beats/min, hypoxic on 100% non-rebreathing mask with saturations of 92%. Obvious clinical acute respiratory failure was present. The patient was started on non-invasive ventilation but continued to deteriorate.  He was deemed too unstable to obtain a CT scan. EKG showed sinus tachycardia. The patient was transferred to the ICU for respiratory failure. A chest x-ray was obtained (Figure 1).

Figure 1. Panel A: Admission chest x-ray which was interpreted as not different from the patient’s previous chest x-ray. Panel B: Portable chest x-ray taken shortly after initiation of non-invasive ventilation just after arrival in the intensive care unit.

The portable chest x-ray taken in the ICU shows a new right-sided consolidation and which of the following? (Click on the correct answer to proceed to the second of six pages)

Cite as: Singarajah CU. April 2018 critical care case of the month. Southwest J Pulm Crit Care. 2018;16(4):183-91. doi: https://doi.org/10.13175/swjpcc042-18 PDF

Thursday
Mar152018

Increased Incidence of Eosinophilia in Severe H1N1 Pneumonia during 2015 Influenza Season

Benjamin Deaton MD

Nicholas Villalobos MD

Andrea Mytinger DO

Michel Boivin MD

 

Department of Internal Medicine

University of New Mexico School of Medicine

Albuquerque, NM USA

 

Abstract

Background: A portion of patients with influenza develop a severe, life t-threatening illness requiring intensive care. We observed a significant number of critically ill influenza patients with eosinophilia during the 2015 influenza season in New Mexico.

Methods: Patients were identified sequentially by reviewing disposition records of all patients admitted to the University of New Mexico Hospital medical intensive care unit between October 2015 and May 2016 for a diagnosis of influenza.

Results: Eleven patients were identified who developed respiratory failure from influenza. Average age was 43.7 + 11.3 (SD) with an average SAPS-2 score of 52.0 + 13.9 (SD) on admission. All 11 were found to have H1N1 influenza. All 11 required mechanical ventilation vasopressor support. Ten patients survived. Notably, 6 (54.5%) developed peripheral eosinophilia (>300/μL) during their hospitalization and all but one of these did not have peripheral eosinophilia at the time of admission. Bronchoalveolar lavage was performed in 5 patients (45.5%) and none were consistent with eosinophilic pneumonia. Further data analysis revealed exploration revealed no significant differences in multiple parameters and no clear cut cause of drug-induced eosinophilia was identified.

Conclusion: During the 2015 influenza season in New Mexico, a disproportionate number of patients with H1N1 influenza and respiratory failure developed peripheral eosinophilia. Type 2 errors could have occurred due to low sample size. Given the unusual frequency of peripheral eosinophilia further studies regarding the association of influenza A and peripheral eosinophilia is warranted.

Introduction

Influenza pneumonia remains a cause of significant morbidity and mortality (1). The re-emergence of H1N1 influenza in 2009 was associated with particularly severe respiratory illness, acute respiratory distress syndrome (ARDS) and mortality (2). The ARDS associated with H1N1 influenza appeared to disproportionately affect younger individuals, compared to other strains of influenza A (2). During the 2015 influenza season H1N1 circulated relatively late in the southwestern United States (3). Intensivists caring for patients with severe H1N1 pneumonia at the University of New Mexico hospital noticed a series of cases associated with significant peripheral eosinophilia. Eosinophilia with influenza or its treatments has rarely been described (4). We therefore sought to examine all cases of severe influenza pneumonia during the 2015 influenza season for the prevalence of peripheral eosinophilia and to assess for potential associations.

Methods

This study was reviewed and approved by the Institutional Review Board of the University of New Mexico Health Sciences Center. Patients from the University of New Mexico Hospital (UNMH) adult Medical Intensive Care Unit (MICU) admitted between October 2015 through May 2016 were retrospectively screened for inclusion. Inclusion criteria included a diagnosis of influenza (using a PCR based assay of nasal swab), admission to the UNMH MICU and age ≥ 18 years. Exclusion criteria included patients admitted to the MICU where influenza did not lead to significant respiratory failure.

In this retrospective cohort chart review, data was collected for demographics, clinical parameters at presentation and throughout their hospital course, and interventions received. Patients were assessed for the presence of eosinophilia at any point during their hospital course. Eosinophilia was defined as a serum eosinophil count that exceeded the upper limit of normal on a complete blood count (0.3x103 cells/microliter). Values are reported with their standard deviation. Statistical analysis was performed using Stata 14 for Mac. The data was explored using two-sided t-tests, Fisher’s exact and Chi-squared tests between the 2 groups with and without eosinophilia. The paper was partially presented in poster form at the 2017 American Thoracic Society International Congress in Washington, DC (5).

Results

Thirteen patients with influenza were identified. Two patients were excluded from further analysis as they did not meet the criteria of having respiratory failure, the remaining eleven were included in this study. The average age of patients in the study was 43.7 ±11.3 years with an average SAPS-2 score of 52.0 ± 13.9 on admission. All eleven patients in the study admitted with severe influenza A leading to respiratory failure during the 2015-2016 influenza season were found to be infected by the H1N1 strain of influenza. See Table 1 for further descriptors of the cohort.

Table 1. Baseline and treatment characteristics by group.

The peak eosinophil count of the group with normal eosinophil count was 0.1(+0.1) X103 cells/µl compared to 1.9 (+ 2.1) X103 cells/µl in the group with significant peripheral eosinophilia (p=0.06). The range of eosinophilia in the group with normal eosinophil count was 0.0-0.3 X103 cells/µl, and 0.5-4.8 X103 cells/µl in the group with eosinophilia. The group with normal eosinophil count reached a “peak” count after an average of 4.6 days, and the group with an elevated eosinophil count after 17.1 days (p<0.02).None of the patients who underwent bronchoscopy had a significant elevation in the bronchoalveolar lavage eosinophil count.

Discussion

During the 2015-2016 influenza season in New Mexico, critically ill patients at UNM hospital admitted with influenza pneumonia were infected with the H1N1 subtype. Over 50 percent of these patients developed peripheral eosinophilia at some point of their hospital course. Among those who underwent bronchoscopy, significant alveolar eosinophilia was not observed, suggesting against a pulmonary cause of eosinophilia, such as acute or chronic eosinophilic pneumonia. All patients were treated with oseltamivir, so an association with this treatment could not be determined. No demographic differences were noted between patients who vashad peripheral eosinophilia and those that did not. The patients with significant peripheral eosinophilia trended to have a longer ICU and hospital length of stay (LOS) but this did not reach statistical significance in this small cohort.

Type 2 errors (failure to detect a true difference between groups due to small numbers of subjects) could have occurred due to low sample size while exploring etiologies. Potential etiologies that could have explained the observed eosinophilia included drug effect, possibly due to oseltamivir, antibiotics, diuretics or other medications. A review of the literature reveals case reports of associations between eosinophilia and influenza vaccine (6,7). Acute eosinophilic pneumonia has also been associated with H1N1 infection, but eosinophilia was not demonstrated on broncho-alveolar lavage in our series (8.9). Potentially this could have been a reaction to epitopes of this particular strain of H1N1 influenza. However, there have yet to be reports of eosinophilia during the 2015-2016 influenza season in the literature. Perhaps local factors could have contributed to an increased incidence of significant peripheral eosinophilia. Anecdotally, the authors do not however recall an increased incidence of eosinophilia in patients admitted for diagnoses other than H1N1. Patients were screened for other causes of viral pneumonia, and there was no clear co-infection that was associated with influenza associated eosinophilia. It was also noted the time to peak eosinophil count was much later in the elevated eosinophil group, and in most it took 14 days for the count to peak. This suggests the stimulus for the eosinophilia was ongoing for considerable time during the admission.

In conclusion, we describe an unusually high incidence of peripheral eosinophilia in patients with severe H1N1 influenza during the 2015 flu season. This eosinophilia was not associated with alveolar eosinophilia. Further observation for the recurrence of this association of H1N1 influenza A and peripheral eosinophilia is warranted during future influenza seasons.

References

  1. Rotrosen ET, Neuzil KM, Influenza: a global perspective. Pediatr Clin North Am. 2017;64:911-36. [CrossRef] [PubMed]
  2. Davlin SL, Blanton L, Kniss K, et al. Influenza Activity - United States, 2015-16 Season and Composition of the 2016-17 Influenza Vaccine.MMWR Morb Mortal Wkly Rep. 2016 Jun 10;65(22):567-75. [CrossRef] [PubMed]
  3. Uyeki TM. Influenza. Ann Intern Med. 2017 Sep 5;167(5):ITC33-ITC48. [CrossRef] [PubMed]
  4. Deaton, BR., Mytinger, AK, Ahmed, S, et al. Peripheral eosinophilia associated with 2016 H1N1 influenza. Am J Resp Crit Care. 2017;195:A5787 [Abstract],
  5. Hayashi R, Shimomura N, Hosojima M, et al. A case of non-episodic angioedema with eosinophilia induced by influenza vaccine. Eur J Dermatol. 2017;27:554-5. [CrossRef] [PubMed]
  6. Solak B, Dikicier BS, Kara RO, Erdem T. DRESS syndrome potentially induced by allopurinol and triggered by influenza vaccine. BMJ Case Rep. 2016 Mar 30;2016. [CrossRef] [PubMed]
  7. Larrañaga JM, Marcos PJ, Pombo F, Otero-González I. Acute eosinophilic pneumonia as a complication of influenza A (H1N1) pulmonary infection. Sarcoidosis Vasc Diffuse Lung Dis. 2016 Mar 29;33(1):95-7. [PubMed]
  8. Jeon EJ, Kim KH, Min KH. Acute eosinophilic pneumonia associated with 2009 influenza A (H1N1). Thorax. 2010;65:268-70. [CrossRef] [PubMed]

Cite as: Deaton B, Villalobos N, Mytinger A, Boivin M. Increased incidence of eosinophilia in severe H1N1 pneumonia during 2015 influenza season. Southwest J Pulm Crit Care. 2018;16(3):146-9. doi: https://doi.org/10.13175/swjpcc021-18 PDF 

Friday
Mar022018

March 2018 Critical Care Case of the Month

Babitha Bijin MD

Jonathan Callaway MD

Janet Campion MD

 

University of Arizona

Department of Medicine

Tucson, AZ USA

  

Chief Complaints

  • Shortness of breath
  • Worsening bilateral LE edema

History of Present Illness

A 53-year-old man with history of multiple myeloma and congestive heart failure presented to the emergency department with complaints of worsening shortness of breath and bilateral lower extremity edema for last 24 hours. In the last week, he has had dyspnea at rest as well as a productive cough with yellow sputum. He describes generalized malaise, loss of appetite, possible fever and notes new bilateral pitting edema below his knees. Per patient, he had flu-like symptoms one week ago and was treated empirically with oseltamivir.

Past Medical History

  • Multiple myeloma-IgG kappa with calvarial and humeral metastases, ongoing treatment with cyclophosphamide, bortezomib and dexamethasone
  • Community acquired pneumonia 2016, treated with oral antibiotics
  • Heart failure with echo 10/2017 showing moderate concentric left ventricular hypertrophy, left ventricular ejection fraction 63%, borderline left atrial and right atrial dilatation, diastolic dysfunction, right ventricular systolic pressure estimated 25 mm Hg
  • Hyperlipidemia
  • Chronic kidney disease, stage III

Home Medications: Aspirin 81mg daily, atorvastatin 80mg daily, furosemide 10mg daily, calcium / Vitamin D supplement daily, oxycodone 5mg PRN, chemotherapy as above

Allergies: No known drug allergies

Social History:

  • Construction worker, not currently working due to recent myeloma diagnosis
  • Smoked one pack per day since age 16, recently quit with 30 pack-year history
  • Drinks beer socially on weekends
  • Married with 3 children

Family History: Mother with hypertension, uncle with multiple myeloma, daughter with rheumatoid arthritis

Review of Systems: Negative except per HPI

Physical Exam

  • Vitals: T 39.3º C, BP 80/52, P121, R16, SpO2 93% on 2L
  • General: Alert man, mildly dyspneic with speech
  • Mouth: Nonicteric, moist oral mucosa, no oral erythema or exudates
  • Neck: No cervical neck LAD but JVP to angle of jaw at 45 degrees
  • Lungs: Bibasilar crackles with right basilar rhonchi, no wheezing
  • Heart: Regular S1 and S2, tachycardic, no appreciable murmur or right ventricular heave
  • Abdomen: Soft, normal active bowel sounds, no tendernesses, no hepatosplenomegaly
  • Ext: Pitting edema to knees bilaterally, no cyanosis or clubbing, normal muscle bulk
  • Neurologic: No focal abnormalities on neurologic exam

Laboratory Evaluation

  • Complete blood count: WBC 15.9 (92% neutrophils), Hgb/Hct 8.8/27.1, Platelets 227
  • Electrolytes: Na+ 129, K+ 4.0, Cl- 100, CO2 18, blood urea nitrogen 42, creatinine 1.99 (baseline Cr 1.55)
  • Liver: AST 35, ALT 46, total bilirubin1.7, alkaline phosphatase 237, total protein 7.4, albumin 2.
  • Others: troponin 0.64, brain naturetic peptide 4569, venous lactate 2.6

Chest X-ray

Figure 1. Admission chest x-ray.

Thoracic CT (2 views)

Figure 2. Representative images from the thoracic CT scan in lung windows.

What is most likely etiology of CXR and thoracic CT findings? (Click on the correct answer to proceed to the second of seven pages)

  1. Coccidioidomycosis pneumonia
  2. Pulmonary edema
  3. Pulmonary embolism with infarcts
  4. Staphylococcus aureus pneumonia
  5. Streptococcus pneumoniae infection 

Cite as: Bijin B, Callaway J, Campion J. March 2018 critical care case of the month. Southwest J Pulm Crit Care. 2018;16(3):117-25. doi: https://doi.org/10.13175/swjpcc035-18 PDF 

Sunday
Feb042018

Ultrasound for Critical Care Physicians: Ghost in the Machine

Ross Davidson, DO

Michel Boivin, MD 

Division of Pulmonary, Critical Care and Sleep Medicine

University of New Mexico School of Medicine

Albuquerque, NM USA

 

A 53-year-old woman presented to the emergency department after a sudden cardiac arrest at home. The patient had a history of asthma and tracheal stenosis and had progressive shortness of breath over the previous days. The patient’s family noticed a “thump” sound from the patient’s room, and found her apneic. They called 911 and began cardiopulmonary resuscitation. Paramedics arrived on the scene, found an initial rhythm of pulseless electrical activity. The patient eventually achieved return of spontaneous circulation and was transported to the hospital. On arrival the patient was in normal sinus rhythm, with a heart rate of 110 beats per minute. Blood pressure was 80/45 mmHg, on an epinephrine infusion. The patient was afebrile, endotracheally intubated, unresponsive and ventilated at 30 breaths per minute. An initial chest radiograph was compatible with aspiration pneumonitis and a small pneumothorax. Initial electrocardiogram on arrival had 1mm ST-segment depressions in leads V4 to V6. Transthoracic echocardiography was unsuccessful due to patient’s habitus and mechanical ventilation. Because of the patient’s hemodynamic instability and unknown cause of cardiac arrest, an urgent trans-esophageal echocardiogram (TEE) was performed (Videos 1-3).

 

Video 1. Mid-esophageal 4-chamber view of the heart.

 

Video 2. Upper esophageal long-axis view of the pulmonary artery and short axis view of the ascending aorta.

 

Video 3. Upper esophageal short axis view of the pulmonary artery with the ascending aorta in long axis. 

Based on the images presented what do you suspect is the etiology of the patient’s cardiac arrest? (Click on the correct answer for an explanation-no penalty for guessing, you can go back and try again)

  1. Massive Pulmonary Embolism
  2. Myocardial infarction
  3. Pericardial Tamponade
  4. Unable to determine

Cite as: Davidson R, Boivin M. Ultrasound for critical care physicians: ghost in the machine. Southwest J Pulm Crit Care. 2018;16(2):76-80. doi: https://doi.org/10.13175/swjpcc027-18 PDF