Browsing by Subject "critical care"
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Item Boarding of Critically Ill Patients in the Emergency Department(Wolters Kluwer, 2020-08-01) Mohr, Nicholas M.; Wessman, Brian T.; Bassin, Benjamin; Elie-Turenne, Marie-Carmelle; Ellender, Timothy; Emlet, Lillian L.; Ginsberg, Zachary; Gunnerson, Kyle; Jones, Kevin M.; Kram, Bridgette; Marcolini, Evie; Rudy, Susanna; Emergency Medicine, School of MedicineObjectives: Emergency department boarding is the practice of caring for admitted patients in the emergency department after hospital admission, and boarding has been a growing problem in the United States. Boarding of the critically ill has achieved specific attention because of its association with poor clinical outcomes. Accordingly, the Society of Critical Care Medicine and the American College of Emergency Physicians convened a Task Force to understand the implications of emergency department boarding of the critically ill. The objective of this article is to review the U.S. literature on (1) the frequency of emergency department boarding among the critically ill, (2) the outcomes associated with critical care patient boarding, and (3) local strategies developed to mitigate the impact of emergency department critical care boarding on patient outcomes. Data Sources and Study Selection: Review article. Data Extraction and Data Synthesis: Emergency department–based boarding of the critically ill patient is common, but no nationally representative frequency estimates has been reported. Boarding literature is limited by variation in the definitions used for boarding and variation in the facilities studied (boarding ranges from 2% to 88% of ICU admissions). Prolonged boarding in the emergency department has been associated with longer duration of mechanical ventilation, longer ICU and hospital length of stay, and higher mortality. Health systems have developed multiple mitigation strategies to address emergency department boarding of critically ill patients, including emergency department-based interventions, hospital-based interventions, and emergency department–based resuscitation care units. Conclusions: Emergency department boarding of critically ill patients was common and was associated with worse clinical outcomes. Health systems have generated a number of strategies to mitigate these effects. A definition for emergency department boarding is proposed. Future work should establish formal criteria for analysis and benchmarking of emergency department–based boarding overall, with subsequent efforts focused on developing and reporting innovative strategies that improve clinical outcomes of critically ill patients boarded in the emergency department.Item Burden of Substance Abuse-Related Admissions to the Medical ICU(Elsevier, 2019) Westerhausen, Donald; Perkins, Anthony J.; Conley, Joshua; Khan, Babar A.; Farber, Mark; Biostatistics, School of Public HealthBackground Admissions to the ICU related to alcohol, prescription drugs, and illicit drugs are shown to be widespread and costly. In 1993, a study revealed 28% of ICU admissions at Johns Hopkins Hospital were related to substance abuse and accrued 39% of costs. Since then, health-care expenditures have increased, and substance abuse treatment admissions have risen. We conducted a study to provide updated data on ICU utilization and costs related to licit and illicit abuse at a large county hospital in Indianapolis, Indiana. Methods All admissions to the medical ICU at Eskenazi Hospital from March to October 2017 were reviewed. Demographics, reason for admission, relation to substance abuse and specific substance, ICU and hospital length of stay, Acute Physiology and Chronic Health Evaluation II (APACHE II) scores, mortality, insurance status, and hospital charges were collected based on chart review. Results A total of 611 admissions generated $74,587,280.35 in charges. A total of 25.7% of admissions related to substance abuse accounted for 23.1% of total charges. Illicit drugs were 13% of total admissions, generating 11% of charges. Alcohol-related admissions were 9.5% of total admissions, generating 7.6% of charges. Prescription drugs were 2.9% of admissions, generating 4.2% of charges. Of the substance abuse admissions, patients were generally men and 40 to 64 years of age, with longer ICU stay, higher APACHE II scores, and higher mortality. Conclusions Substance abuse admissions make up almost a one-quarter of resources used by our ICU. Patients tend to be younger and sicker with a higher risk of death. Identifying and accurately describing the landscape of this current health crisis will help us take appropriate action in the future.Item Can we predict which COVID-19 patients will need transfer to intensive care within 24 hours of floor admission?(Wiley, 2021) Wang, Alfred Z.; Ehrman, Robert; Bucca, Antonino; Croft, Alexander; Glober, Nancy; Holt, Daniel; Lardaro, Thomas; Musey, Paul; Peterson, Kelli; Trigonis, Russell; Hunter, Benton R.; Emergency Medicine, School of MedicineBackground Patients with COVID‐19 can present to the emergency department (ED) at any point during the spectrum of illness, making it difficult to predict what level of care the patient will ultimately require. Admission to a ward bed, which is subsequently upgraded within hours to an intensive care unit (ICU) bed, represents an inability to appropriately predict the patient's course of illness. Predicting which patients will require ICU care within 24 hours would allow admissions to be managed more appropriately. Methods This was a retrospective study of adults admitted to a large health care system, including 14 hospitals across the state of Indiana. Included patients were aged ≥ 18 years, were admitted to the hospital from the ED, and had a positive polymerase chain reaction (PCR) test for COVID‐19. Patients directly admitted to the ICU or in whom the PCR test was obtained > 3 days after hospital admission were excluded. Extracted data points included demographics, comorbidities, ED vital signs, laboratory values, chest imaging results, and level of care on admission. The primary outcome was a combination of either death or transfer to ICU within 24 hours of admission to the hospital. Data analysis was performed by logistic regression modeling to determine a multivariable model of variables that could predict the primary outcome. Results Of the 542 included patients, 46 (10%) required transfer to ICU within 24 hours of admission. The final composite model, adjusted for age and admission location, included history of heart failure and initial oxygen saturation of <93% plus either white blood cell count > 6.4 or glomerular filtration rate < 46. The odds ratio (OR) for decompensation within 24 hours was 5.17 (95% confidence interval [CI] = 2.17 to 12.31) when all criteria were present. For patients without the above criteria, the OR for ICU transfer was 0.20 (95% CI = 0.09 to 0.45). Conclusions Although our model did not perform well enough to stand alone as a decision guide, it highlights certain clinical features that are associated with increased risk of decompensation.Item The Critical Care Recovery Center: An Innovative Collaborative Care Model for ICU Survivors(Wolters, 2015-03) Khan, Babar A.; Lasiter, Sue; Boustani, Malaz A.; School of NursingFive million Americans require admission to ICUs annually owing to life-threatening illnesses. Recent medical advances have resulted in higher survival rates for critically ill patients, who often have significant cognitive, physical, and psychological sequelae, known as postintensive care syndrome (PICS). This growing population threatens to overwhelm the current U.S. health care system, which lacks established clinical models for managing their care. Novel innovative models are urgently needed. To this end, the pulmonary/critical care and geriatrics divisions at the Indiana University School of Medicine joined forces to develop and implement a collaborative care model, the Critical Care Recovery Center (CCRC). Its mission is to maximize the cognitive, physical, and psychological recovery of ICU survivors. Developed around the principles of implementation and complexity science, the CCRC opened in 2011 as a clinical center with a secondary research focus. Care is provided through a pre-CCRC patient and caregiver needs assessment, an initial diagnostic workup visit, and a follow-up visit that includes a family conference. With its sole focus on the prevention and treatment of PICS, the CCRC represents an innovative prototype aimed at modifying post–critical illness morbidities and improving the ICU survivor's quality of life.Item Distributed creative activity: expanding Tikhomirov's original notion of creative activity(2013) Faiola, AnthonyTikhomirov’s primary works are considered groundbreaking in the activity theory community. In particular, his efforts in understanding the positive effects of computers on the development of creative activity provide valuable instruction to activity theorists, especially with respect to their influence on new goal formation. Tikhomirov’s quests to better understand “how computers affect the development of intellectual activity” are explicitly revealed in the clinical environment. As the intensive care unit is a preeminent environment to observe creative activity in real time, the primary problems of clinical team communication and collaboration, both aspects being related to joint activity, are identified. As one way to approach such a problem, Tikhomirov’s theory on creative activity is explained in the context of information technology. Then, distributed cognition theory and creative activity theory are joined together and extended into distributed-creative activity theory, as an augmentation of complex interpersonal cognition through the use of health information technology.Item Effect of Glucose–Insulin–Potassium Infusion on Mortality in Critical Care Settings: A Systematic Review and Meta-Analysis(2009-07) Puskarich, Michael A; Runyon, Michael S; Trzeciak, Stephen; Kline, Jeffrey A.; Jones, Alan EThis study seeks to measure the treatment effect of glucose—insulin—potassium (GIK) infusion on mortality in critically ill patients. A systematic review of randomized controlled trials is conducted, comparing GIK treatment with standard care or placebo in critically ill adult patients. The primary outcome variable is mortality. Two authors independently extract data and assess study quality. The primary analysis is based on the random effects model to produce pooled odds ratios (ORs) with 95% confidence intervals (CIs). The search yields 1720 potential publications; 23 studies are included in the final analysis, providing a sample of 22 525 patients. The combined results demonstrate no heterogeneity (P = .57, I2 = 0%) and no effect on mortality (OR = 1.02; 95% CI, 0.93–1.11) with GIK treatment. No experimental studies of shock or sepsis populations are identified. This meta-analysis finds that there is no mortality benefit to GIK infusion in critically ill patients; however, study populations are limited to acute myocardial infarction and cardiovascular surgery patients. No studies are identified using GIK in patients with septic shock or other forms of circulatory shock, providing an absence of evidence regarding the effect of GIK as a therapy in patients with shock.Item Heuristic Based Sensor Ranking Algorithm for Indoor Tracking Applications(Office of the Vice Chancellor for Research, 2013-04-05) Rybarczyk, Ryan; Raje, Rajeev R.; Tuceryan, MihranLocation awareness in an indoor setup is an important function necessary in many application domains such as asset management, critical care, and augmented reality. Location awareness, or tracking, of an object within an indoor setting requires a high degree of accuracy, as room-to-room location may be very important. With the current proliferation of smart devices, with often a multitude of built-in sensors, and inexpensive sensors it is now possible to build a network of sensors, for the purpose of tracking, within an indoor environment without the high cost of installing the needed tracking infrastructure. In an effort to increase accuracy, as well as coverage area, various different sensors may be used in the tracking of an object. In this heterogeneous tracking situation, it is important for the tracking infrastructure to quickly and accurately decide which, all or a subset, of available sensors to use. Challenges related to heterogeneous data fusion and clock synchronization, must be addressed in order to provide accurate location estimates. We have proposed a heuristic based ranking algorithm to address these challenges. In this algorithm, the individual sensors are ranked based upon their quality of service (QoS) attributes and the resulting ranking is used by a filtering service during the sensor selection process. This information is provided to the filtering service when a sensor joins the tracking infrastructure and is subsequently only updated during idle periods, thereby, there avoiding additional overhead. We have implemented this algorithm into the existing prototypical Enhanced Distributed Object Tracking System or e-DOTS. e-DOTS has been extensively experimented with and the results of these experimentation validate the hypothesis that accurate indoor tracking can be achieved using a heterogeneous ensemble of cheap and mobile sensors. Our current investigation involves the incorporation of trust associated with sensors and deploying e-DOTS in a typical healthcare setup.Item High flow nasal cannula use is associated with increased hospital length of stay for pediatric asthma(Wiley, 2023-11) Rogerson, Colin; Owora, Arthur; He, Tian; Carroll, Aaron; Schleyer, Titus; AbuSultaneh, Samer; Tu, Wanzhu; Mendonca, Eneida; Medicine, School of MedicineBackground High flow nasal cannula (HFNC) is a respiratory device increasingly used to treat asthma. Recent mechanistic studies have shown that nebulized medications may have reduced delivery with HFNC, which may impair asthma treatment. This study evaluated the association between HFNC use for pediatric asthma and hospital length of stay (LOS). Methods This was a retrospective matched cohort study. Cases included patients aged 2–18 years hospitalized between January 2010 and December 2021 with asthma and received HFNC treatment. Controls were selected using logistic regression propensity score matching based on demographics, vital signs, medications, imaging, and social and environmental determinants of health. The primary outcome was hospital LOS. Results A total of 23,659 encounters met eligibility criteria, and of these 1766 cases included HFNC treatment with a suitable matched control. Cases were well-matched in demographics, social and environmental determinants of health, and clinical characteristics including use of adjunctive asthma therapies. The median hospital LOS for study cases was significantly higher at 87 h (interquartile range [IQR]: 61–145) compared to 66 h (IQR: 43–105) in the matched controls (p < 0.01). There was no significant difference in the rate of intubation and mechanical ventilation (8.9% vs. 7.6%, p = .18); however, the use of NIV was significantly higher in the cases than the control group (21.3% vs. 6.7%, p < .01). Conclusion In this study of children hospitalized for asthma, HFNC use was associated with increased hospital LOS compared to matched controls. Further research using more granular data and additional relevant variables is needed to validate these findings.Item Hospital-Level Variation in Death for Critically Ill Patients with COVID-19(ATS, 2021) Churpek, Matthew M.; Gupta, Shruti; Spicer, Alexandra B.; Parker, William F.; Fahrenbach, John; Brennen, Samantha K.; Leaf, David E.; STOP-COVID Investigators; Medicine, School of MedicineRationale: Variation in hospital mortality has been described for coronavirus disease 2019 (COVID-19), but the factors that explain these differences remain unclear. Objective: Our objective was to utilize a large, nationally representative dataset of critically ill adults with COVID-19 to determine which factors explain mortality variability. Methods: In this multicenter cohort study, we examined adults hospitalized in intensive care units with COVID-19 at 70 United States hospitals between March and June 2020. The primary outcome was 28-day mortality. We examined patient-level and hospital-level variables. Mixed-effects logistic regression was used to identify factors associated with interhospital variation. The median odds ratio (OR) was calculated to compare outcomes in higher- vs. lower-mortality hospitals. A gradient boosted machine algorithm was developed for individual-level mortality models. Measurements and Main Results: A total of 4,019 patients were included, 1537 (38%) of whom died by 28 days. Mortality varied considerably across hospitals (0-82%). After adjustment for patient- and hospital-level domains, interhospital variation was attenuated (OR decline from 2.06 [95% CI, 1.73-2.37] to 1.22 [95% CI, 1.00-1.38]), with the greatest changes occurring with adjustment for acute physiology, socioeconomic status, and strain. For individual patients, the relative contribution of each domain to mortality risk was: acute physiology (49%), demographics and comorbidities (20%), socioeconomic status (12%), strain (9%), hospital quality (8%), and treatments (3%). Conclusion: There is considerable interhospital variation in mortality for critically ill patients with COVID-19, which is mostly explained by hospital-level socioeconomic status, strain, and acute physiologic differences. Individual mortality is driven mostly by patient-level factors.Item Implementation of Continuous Capnography Is Associated With a Decreased Utilization of Blood Gases(2015-02) Rowan, Courtney M.; Speicher, Richard H.; Hedlund, Terri; Ahmed, Sheikh S.; Swigonski, Nancy L.; Department of Pediatrics, Indiana University School of MedicineBackground Capnography provides a continuous, non-invasive monitoring of the CO2 to assess adequacy of ventilation and provide added safety features in mechanically ventilated patients by allowing for quick identification of unplanned extubation. These monitors may allow for decreased utilization of blood gases. The objective was to determine if implementation of continuous capnography monitoring decreases the utilization of blood gases resulting in decreased charges. Methods This is a retrospective review of a quality improvement project that compares the utilization of blood gases before and after the implementation of standard continuous capnography. The time period of April 2010 to September 2010 was compared to April 2011 to September 2011. Parameters collected included total number of blood gases analyzed, cost of blood gas analysis, ventilator and patient days. Results The total number of blood gases after the institution of end tidal CO2 monitoring decreased from 12,937 in 2009 and 13,171 in 2010 to 8,070 in 2011. The average number of blood gases per encounter decreased from 20.8 in 2009 and 21.6 in 2010 to 13.8 post intervention. The blood gases per ventilator day decreased from 4.94 in 2009 and 4.76 in 2010 to 3.30 post intervention. The total charge savings over a 6-month period was $880,496. Conclusions Continuous capnography resulted in a significant savings over a 6-month period by decreasing the utilization of blood gas measurements.