Adult Medical Intensive Care Unit Research Articles

Hypervirulent Klebsiella pneumoniae-related bacteremia in intensive care unit: A retrospective cohort study

IntroductionHypervirulent Klebsiella pneumoniae (hvKP) bloodstream infections (BSI) have rarely been reported in critically ill patients. MethodsWe conducted a retrospective study of KP-BSI between January 2016 and December 2020 in an adult medical intensive care unit (ICU) of our tertiary care hospital. Hypervirulent phenotype was defined by the detection of both rmpA and iutA. ResultsSeventy patients diagnosed with K. pneumonia BSI were included, of whom 9 (13 %) had hvKP infection. Pneumonia accounted for 56 % of hvKP-BSI and for 28 % of those with cKP. Fifty-six percent of patients with hvKP-BSI were homeless, versus 2 % of those with cKP-BSI (p < 0.001). The 30-day mortality rate reached 44 % for hvKP-BSI and 34 % for cKP-BSI (p = 0.7) and did not appear related to the hypervirulent phenotype in multivariable analysis. DiscussionWe here evidenced a new clinical entity of hvKP-BSI associated with pulmonary infection in homeless patients, which exhibits high mortality.

Effectiveness of Pressure Relief Pads in Preventing Bi-Level Positive Airway Pressure- Related Injuries: A Secondary Database Analysis

&lt;p&gt;目的：透過雙相型陽壓呼吸器(BiPAP)通報資料庫分析，探討減壓墊於BiPAP相關壓傷之預防成效。方法：方便取樣南部某區域教學醫院成人內科加護病房之BiPAP通報資料庫，次級資料分析減壓墊於BiPAP相關壓傷之預防成效。結果：減壓墊組的壓傷發生率為6.06%，無減壓墊組為7.78%，兩組無統計顯著差異(p =.5863)。壓傷個案相關變項比較，減壓墊組比無減壓墊組平均延緩21.18小時產生壓傷(p =.8660)，平均減少0.12個壓傷(p =.5501)、減少1.96 cm2的壓傷表面積(p =.7334)，較低的重度壓傷發生風險(risk ratio = 0.44, p =.1666)，然礙於臨床發生壓傷的個案數偏少，故成效比較尚未達顯著差異。結論：兩組比較雖未達顯著差異，但次級資料庫的真實世界數據顯示減壓墊組具有較佳的預防壓傷臨床效益，建議臨床仍可善用減壓墊於預防BiPAP相關壓傷。&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;&amp;quot;Purpose: To compare the effectiveness of pressure relief pads in preventing bi-level positive airway pressure-related injuries by analyzing data from a medical reporting database. Methods: The authors took a convenience sample of records from the medical reporting database of the adult medical intensive care unit of a regional teaching hospital in southern Taiwan. Secondary database analysis was employed to examine the effectiveness of pressure relief pads in preventing pressure injuries. Results: The incidence of pressure-related injuries in the pressure relief pads group was 6.06%, whereas the incidence in the no relief pads group was 7.78% (p = .5863). Pressure relief pads delayed the occurrence of pressure injuries by 21.18 hours (p = .8660), reduced the number of pressure injury lesions by 0.12 (p = .5501), reduced the surface area of pressure injuries by 1.96 cm2 (p = .7334), and reduced the risk of severe pressure injury (risk ratio = 0.44, p = .1666). Due to the small number of clinical incident pressure injuries reported, the comparison of effectiveness did not reach statistical significance. Conclusion: Although no significant difference was observed between the two groups, real-world data from the secondary database revealed that the pressure relief pads effectively and safely prevented pressure injuries.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;

Screening for Alcohol Use Disorder and Management of Alcohol Withdrawal Syndrome in Critical Care Patients.

Evidence-based research indicates that subjective questionnaires should be eliminated in screening for alcohol use disorder and management of alcohol withdrawal syndrome in critical care patients. However, transitioning clinicians away from these screening tools remains challenging. To improve screening for alcohol use disorder and management of alcohol withdrawal syndrome in the critical care setting by implementing an evidence-based alcohol use disorder screening tool and alcohol withdrawal syndrome protocol for critical care patients. The project site was a 17-bed adult medical intensive care unit in a large, southeastern US teaching hospital. Interventions consisted of the elimination of previously used tools such as the Clinical Institute Withdrawal Assessment for Alcohol-Revised and implementation of the Prediction of Alcohol Withdrawal Severity Scale for alcohol use disorder screening and the Richmond Agitation-Sedation Scale and symptom-triggered benzodiazepine administration for alcohol withdrawal syndrome management. Alcohol use disorder screening among the critical care patient population increased by 49% from before to after the intervention. Of the patients at risk for withdrawal, 79% had an order for monitoring with the new intensive care unit alcohol withdrawal protocol in the postintervention group, compared with 35% who had an order for monitoring with the Clinical Institute Withdrawal Assessment for Alcohol-Revised in the preintervention group. The elimination of previously used tools and the implementation of the Prediction of Alcohol Withdrawal Severity Scale and the new intensive care unit alcohol withdrawal protocol improved alcohol use disorder screening and alcohol withdrawal syndrome management among critical care patients.

Stewardship-Guided T2Candida Testing Shortens Time to Antifungal Treatment and Reduces Antifungal Usage Among Medical Intensive Care Unit Patients With Septic Shock.

Diagnosis of invasive candidiasis (IC) is limited by insensitivity and slow turnaround of cultures. Our objectives were to define the performance of T2Candida, a nonculture test, under guidance of a diagnostic stewardship program, and evaluate impact on time to antifungal initiation and antifungal utilization. This was a retrospective study of adult medical intensive care unit (MICU) patients with septic shock for whom T2Candida testing was performed from March 2017 to March 2020. Patients with positive T2Candida results during this period were compared to MICU patients who did not undergo T2Candida testing but had septic shock and blood cultures positive for Candida from January 2016 through March 2020. Overall, 155 T2Candida tests from 143 patients were included. Nine percent of T2Candida tests were positive compared to 4.5% of blood cultures. Sensitivity, specificity, positive predictive value, and negative predictive value of T2Candida for proven and probable IC were 78%, 95%, 50%, and 99%, respectively. Patients who tested positive for T2Candida (n = 14) were diagnosed earlier and initiated on antifungal therapy sooner than patients with IC (n = 14) diagnosed by blood culture alone (median, 5.6 vs 60 hours; P < .0001). Median antifungal days of therapy/1000 patient-days were 23.3/month preimplementation and 15/month postimplementation (P = .007). Following a negative T2Candida result, empiric antifungals were either not administered in 58% or discontinued within 72 hours in 96% of patients. Diagnostic stewardship guided T2Candida testing resulted in reduced time to IC diagnosis, faster initiation of antifungal therapy, and lower antifungal usage among MICU patients with septic shock.

Comparison of intensive care unit liberation bundle adherence prior to and during the COVID‐19 pandemic: A retrospective cohort study

AbstractThe intensive care unit (ICU) liberation (A–F) bundle is recommended by the Society of Critical Care Medicine guidelines as standard supportive care. Significant deviations were made to providing bundled care during the coronavirus disease 2019 (COVID‐19) pandemic. The objective of the study is to describe how COVID‐19 affected bundle adherence at a single academic medical center. This is a retrospective cohort study of adult medical ICU patients on mechanical ventilation (MV) for at least 48 h and an ICU stay of at least 7 days. Patients were separated into three cohorts based on ICU admission date and COVID‐19 status from April 2019 to March 2021; pre‐pandemic (pre‐COV), pandemic COVID‐19 negative (COV‐neg), and pandemic COVID‐19 positive (COV‐pos). Primary outcomes were median average daily bundle adherence over 7 days and daily complete bundle adherence. Secondary outcomes were individual bundle component adherence rates and patient outcomes. A total of 67 patients were included. Median average daily bundle adherence (pre‐COV 68.6% vs. COV‐neg 51.4% vs. COV‐pos 32.6%; p &lt; 0.001), median number of days with complete adherence (pre‐COV 1 [interquartile range (IQR) 0–1] vs. COV‐neg 0 [IQR 0–0] vs. COV‐pos 0 [IQR 0–0]; p &lt; 0.001), and percentage of patients with any day of complete bundle adherence (pre‐COV 78.6% vs. COV‐neg 14.3% vs. COV‐pos 7.1%) were different among groups and individual bundle component adherence varied. Also, median duration of MV (pre‐COV: 6.3 days [IQR 5.6–9], COV‐neg: 8.9 days [IQR 7.6–14], COV‐pos: 11.6 days [IQR 8.4–21], p = 0.01) and median days alive and free from MV up to Day 30 (pre‐COV: 23 [IQR 21–24], COV‐neg: 20 [IQR 15–22], COV‐pos: 18 [IQR 7–21], p = 0.015) were significantly different between groups. ICU A–F bundle adherence was significantly reduced during the COVID‐19 pandemic in patients with and without COVID‐19 infection.

Making the case for precision dosing: visualizing the variability of cefepime exposures in critically ill adults.

To investigate and describe the variability in cefepime exposures among 'real-world', critically ill patients by using population pharmacokinetic modelling and simulations, and with translation of these findings to visualizations. A cohort of adult medical ICU patients who received cefepime with therapeutic drug monitoring was studied. Two compartment models were developed to estimate cefepime clearance (Model 1) and simulate cefepime exposures among 1000 patients, each with identical creatinine clearance of 60 mL/min and receiving a regimen of cefepime 1 gram IV over 30 minutes, every 8 hours (Model 2). Variability in the relationship between cefepime clearance and creatinine clearance (CrCL) was visualized, and a random, representative sample of 10 simulated patients was utilized to illustrate variability in cefepime exposures. A total of 75 adult medical ICU patients (52% female) and 98 serum cefepime samples were included in the study. Population parameter estimates for cefepime displayed a wide range of variation in Model 1 (CV: 45% to 95%), with low bias at the individual level at 0.226 mg/L but high bias in the population model 10.6 mg/L. Model 2 displayed similar fits, demonstrating that correcting for individual patient creatinine clearance slightly improves the bias of the population model (bias = 4.31 mg/L). Among 10 simulated patients that a clinician would deem similar from a dosing perspective (i.e. equivalent creatinine clearance), maximum concentrations after three simulated doses varied more than 8-fold from 41.2 to 339 mg/L at the 5th and 95th percentiles, and clearance profiles were highly different. Creatinine clearance estimates alone are inadequate for predicting cefepime exposures. Wide variations in cefepime exposure exist among ICU patients, even for those with similar kidney function estimates. Current population adjustment schemes based solely on creatinine clearance will result in unintended high and low exposures leading to safety and efficacy concerns, respectively.

Identifying Comorbid Subtypes of Patients With Acute Respiratory Failure.

Patients with acute respiratory failure have multiple risk factors for disability following their intensive care unit stay. Interventions to facilitate independence at hospital discharge may be more effective if personalized for patient subtypes. To identify subtypes of patients with acute respiratory failure requiring mechanical ventilation and compare post-intensive care functional disability and intensive care unit mobility level among subtypes. Latent class analysis was conducted in a cohort of adult medical intensive care unit patients with acute respiratory failure receiving mechanical ventilation who survived to hospital discharge. Demographic and clinical medical record data were collected early in the stay. Clinical characteristics and outcomes were compared among subtypes by using Kruskal-Wallis tests and χ2 tests of independence. In a cohort of 934 patients, the 6-class model provided the optimal fit. Patients in class 4 (obesity and kidney impairment) had worse functional impairment at hospital discharge than patients in classes 1 through 3. Patients in class 3 (alert patients) had the lowest magnitude of functional impairment (P < .001) and achieved the earliest out-of-bed mobility and highest mobility level of all subtypes (P < .001). Acute respiratory failure survivor subtypes identified from clinical data available early in the intensive care unit stay differ in post-intensive care functional disability. Future research should target high-risk patients in early rehabilitation trials in the intensive care unit. Additional investigation of contextual factors and mechanisms of disability is critical to improving quality of life in acute respiratory failure survivors.

Prevalence and Risk Factors for Iatrogenic Opioid Withdrawal in Medical Critical Care Patients.

To identify the and risk factors for IWS in adult patients admitted to critical care medicine services who received greater than or equal to 24 hours of continuous opioid infusion therapy. A prospective, observational study was conducted in a tertiary care hospital in adult medical ICU patients. Ninety-two patients who received greater than or equal to 24 hours of continuous opioid infusions were included in the study. Patients were assessed daily after opioid infusion discontinuation using the Clinical Opiate Withdrawal Scale (COWS) and the Diagnostic and Statistical Manual of Mental Disorders (DSM-V) opioid withdrawal criteria for a maximum of 5 days. The primary outcome was the prevalence of IWS of moderate severity or greater using COWS. Secondary outcomes included the prevalence of IWS diagnosis of any severity based on COWS, the prevalence of IWS diagnosis based on a positive DSM-V score, and the identification of potential risk factors for developing IWS of any severity. Four hundred forty-seven patients received greater than or equal to 24 hours of continuous opioid therapy. Of these, 385 were excluded, leaving 92 patients included in the final analysis. Except for a higher prevalence of psychiatric history in the IWS-positive group, baseline characteristics were similar. Overall, 11 patients (12%) developed IWS of moderate severity or greater, based on COWS. The IWS-positive group also had longer durations of opioid infusions, higher cumulative opioid infusion doses, higher mean daily doses, and higher infusion rates at any given time. The concomitant use of dexmedetomidine (38.3 vs 15.6%, p = 0.014) and benzodiazepines (63.8 vs 37.8%, p = 0.021) during or after the opioid infusion were significantly higher in the IWS-positive group compared with the IWS-negative group. No significant differences were found between the two groups for scheduled or as needed opioids after cessation of the opioid infusion. Continuous opioid infusions greater than or equal to 72 hours and total daily dose greater than or equal to 1,200 μg were found to be independent predictors for the development of iatrogenic opioid withdrawal via logistic regression. Approximately one in every eight patients receiving continuous infusion opioid for greater than 24 hours while mechanically ventilated in the medical ICU will develop IWS of moderate severity or greater; this increases to one in three patients diagnosed with DSM-V criteria or any level of IWS severity. Patients receiving opioid infusions greater than or equal to 72 hours, or a total daily fentanyl dose of greater than or equal to 1,200 μg (~ 50 μg/hr) are at a higher risk for developing IWS and should be monitored as part of clinical practice when opioid infusions are discontinued.

Surveillance of device associated infections in intensive care units at a Saudi Arabian Hospital, 2017–2020

BackgroundDevice-associated infections (DAIs) are important components of healthcare associated infection and are associated with increased morbidity and mortality. This study describes DAIs across different intensive care units (ICUs) in a hospital in Saudi Arabia. MethodsThe study was conducted between 2017 and 2020 and followed the definitions of National Healthcare Safety Network (NHSN) for DAIs. The calculated the rates of ventilator-associated events (VAE), catheter-associated urinary tract infections (CAUTI) and central line-associated blood stream infections (CLABSI) followed NHSN definitions. ResultsDuring the study period, there were 82 DAIs in adult ICUs and of these 16 (19.5%) were CLABSI, 26 (31.7%) were CAUTI and 40 (48.7%) were VAE. The overall rates for adult ICUs were 1.6, 1.9, 3.8 per 1000 device-days for CAUTI, CLABSI and VAE, respectively. The device-utilization ratio was 0.5, 0.6, and 0.48 for urinary catheters, central lines, and ventilators, respectively. VAE rates for medical and surgical ICU were about 2.8 times the rate in the coronary care unit and the rates were high in 2020 corresponding with the COVID-19 pandemic. Of the adult ICUS, medical ICU had a CLABSI rate of 2.13/1000 device-days and was about double the rate in surgical and cardiac ICU. For CAUTI, the rates per 1000 device-days were 2.19, 1.73, and 1.65 for medical, surgical, and coronary ICUs, respectively. The rate of CLABSI per 1000 device-days for pediatric and neonatal ICUs were 3.38 and 2.28, respectively. ConclusionsCAUTI was the most common infections among adult ICUs and medical ICU had higher rates than other adult ICUs. VAE rate was higher in the first year of the COVID-19 pandemic, indicating increased device-use, change in patients characteristics as well as possible change in practices across the ICUs.

Association of clinical prediction scores with hospital mortality in an adult medical and surgical intensive care unit in Kenya.

Mortality prediction among critically ill patients in resource limited settings is difficult. Identifying the best mortality prediction tool is important for counseling patients and families, benchmarking quality improvement efforts, and defining severity of illness for clinical research studies. Compare predictive capacity of the Modified Early Warning Score (MEWS), Universal Vital Assessment (UVA), Tropical Intensive Care Score (TropICS), Rwanda Mortality Probability Model (R-MPM), and quick Sequential Organ Failure Assessment (qSOFA) for hospital mortality among adults admitted to a medical-surgical intensive care unit (ICU) in rural Kenya. We performed a pre-planned subgroup analysis among ICU patients with suspected infection. Prospective single-center cohort study at a tertiary care, academic hospital in Kenya. All adults 18 years and older admitted to the ICU January 2018-June 2019 were included. The primary outcome was association of clinical prediction tool score with hospital mortality, as defined by area under the receiver operating characteristic curve (AUROC). Demographic, physiologic, laboratory, therapeutic, and mortality data were collected. 338 patients were included, none were excluded. Median age was 42 years (IQR 33-62) and 61% (n = 207) were male. Fifty-nine percent (n = 199) required mechanical ventilation and 35% (n = 118) received vasopressors upon ICU admission. Overall hospital mortality was 31% (n = 104). 323 patients had all component variables recorded for R-MPM, 261 for MEWS, and 253 for UVA. The AUROC was highest for MEWS (0.76), followed by R-MPM (0.75), qSOFA (0.70), and UVA (0.69) (p < 0.001). Predictive capacity was similar among patients with suspected infection. All tools had acceptable predictive capacity for hospital mortality, with variable observed availability of the component data. R-MPM and MEWS had high rates of variable availability as well as good AUROC, suggesting these tools may prove useful in low resource ICUs.

974: FEASIBILITY OF OTOACOUSTIC EMISSIONS TESTING TO IDENTIFY HEARING IMPAIRMENT IN THE ICU

Introduction: Hearing impairment is associated with a lack of functional recovery among older adults who have survived intensive care unit (ICU) admission and is a risk factor for delirium. Identifying hearing impairment in the ICU is challenging because many patients cannot participate in hearing assessments. Otoacoustic emissions testing (OAE) is a non-invasive, non-participatory tool that is used to screen newborns for hearing impairment by detecting intracochlear motion in response to auditory stimulation. Our objective was to assess the feasibility of OAE testing to screen for hearing impairment among adults in the ICU. Methods: A feasibility study was performed in the adult Medical Intensive Care Unit at Yale-New Haven Hospital. Data were gathered on demographics, delirium, ventilation status, sedation, illness severity, OAE measurements, and ambient noise. Percentage of test completion, the average time of test completion, and barriers or facilitators of testing were measured as outcomes. A patient passed their OAE testing if at least 2 of 6 frequencies were detected in at least one ear. A pass suggested that moderate or severe hearing impairment (i.e., that would require an amplifier or a hearing aid) was not present. Results: Of 31 patients approached (mean age 64.58+/-14.06 years), 23 (74.2%) underwent testing. Among all patients, 15 (48.4%) were mechanically ventilated, 8 (25.8%) were receiving sedative infusions, and 19 (61.3%) screened positive for delirium with the CAM-ICU. Eight (25.8%) patients were unable to be tested, most commonly due to elevated ambient noise (41.6%). Among the 18 patients with complete data, 6 patients screened positive for hearing impairment. The average time for OAE test completion per ear was 152.59+/-97.57 seconds. The average ambient noise level was 50.68+/-3.96 dB for all patients, and 52.41+/-2.08 dB among those who could not be tested in both ears. Conclusions: OAE testing is a feasible method for hearing impairment screening in the ICU. Identification of hearing impairment may facilitate improved communication through interventions such as amplifiers, audiology referrals, and accommodations. Future studies should evaluate whether identification and treatment of hearing impairment in the ICU may reduce delirium and improve post-ICU recovery.

Scope and mortality of adult medical ICU patients in an Eastern Cape tertiary hospital.

The characteristics and mortality outcomes of patients admitted to South African intensive care units (ICUs) owing to medical conditions are unknown. Available literature is derived from studies based on data from high-income countries. To determine ICU utilisation by medical patients and evaluate the scope of admissions and clinical associations with hospital mortality in ICU patients 12 years and older admitted to an Eastern Cape tertiary ICU, particularly in the subset with HIV disease. A retrospective descriptive one-year cohort study. Data were obtained from the LivAKI study database and demographic data, comorbidities, diagnosis, and mortality outcomes and associations were determined. There were 261 (29.8%) medical ICU admissions. The mean age of the cohort was 40.2 years; 51.7% were female. When compared with the surgical emergencies, the medical subgroup had higher sequential organ failure assessment (SOFA) scores (median score 5 v. 4, respectively) and simplified acute physiology score III (SAPS 3) scores (median 52.7 v. 48.5), a higher incidence of acute respiratory distress syndrome (ARDS) (7.7% v. 2.9%) and required more frequent dialysis (20.3% v. 5.5%). Of the medical admissions, sepsis accounted for 32.4% of admission diagnoses. The HIV seroprevalence rate was 34.0%, of whom 57.4% were on antiretroviral therapy. ICU and hospital mortality rates were 11.1% and 21.5% respectively, while only acute kidney injury (AKI) and sepsis were independently associated with mortality. The HIV-positive subgroup had a higher burden of tuberculosis (TB), higher admission SOFA and SAPS 3 scores and required more organ support. Among medical patients admitted to ICU, there was a high HIV seroprevalence with low uptake of antiretroviral therapy. Sepsis was the most frequently identified ICU admission diagnosis. Sepsis and AKI (not HIV) were independent predictors of mortality. Co-infection with HIV and TB was associated with increased mortality. The epidemiology and outcomes of adults who are critically ill from medical conditions in South African intensive care units was previously unknown but has been described in this study. The association of sepsis, TB, HIV and acute kidney injury with mortality is discussed.

Infection-Related Ventilator-Associated Complication and Possible Ventilator-Associated Pneumonia among Mechanically Ventilated Patients of Adult Medical and Surgical Intensive Care Units.

Objective An observational study was conducted to evaluate (1) the incidence rates of infection-related ventilator-associated complication (IVAC) and possible ventilator-associated pneumonia (PVAP) among mechanically ventilated patients of adult medical and surgical intensive care units (ICUs) and (2) the pathogen distribution in patients with PVAP. Materials and Methods The IVAC and PVAP rates of medical and surgical ICUs, between July 1, 2017, and June 30, 2021, per 1,000 mechanical ventilator (MV) days were calculated. The significance of difference in IVAC and PVAP rates between medical and surgical ICUs was calculated. The level of significance was set at less than 0.05. Results MV utilization ratios of adult medical and surgical ICUs were 0.32 and 0.26, respectively ( p < 0.001). About 8 and 7 episodes of IVAC and 14 and 6 episodes of PVAP were reported from adult medical and surgical ICUs, accounting for IVAC rates of 3.17 and 1.8 per 1,000 MV ( p > 0.05) and PVAP rates of 2.46 and 1.59 per 1,000 MV days in medical and surgical ICUs, respectively ( p > 0.05). Acinetobacter baumannii complex either singly or in combination was isolated in 11/20 PVAP cases. Conclusion IVAC and PVAP were more in medical compared with surgical ICUs. The most common pathogen in patients with PVAP was A. baumannii complex. More studies are warranted to monitor the significance of ventilator-associated event on patient outcomes.

Healthcare disparities for the development of airway stenosis from the medical intensive care unit.

Objectives/hypothesisTo identify sociodemographic factors associated with the development of airway stenosis (AS) among intubated medical intensive care unit (MICU) patients.Study designRetrospective cohort study.MethodsA retrospective review of adult MICU intubated patients from 2013 to 2019 at a single academic institution was performed. Univariate and multivariate analysis with logistic regression examined associations between the development of AS and subsite abnormalities such as posterior glottic stenosis (PGS), subglottic stenosis (SGS), tracheal stenosis (TS), vocal fold immobility (VFI), and posterior glottic granuloma (PGG) with age, body mass index (BMI), height, weight, race, ethnicity, sex, rurality, Appalachian status, length of admission, distance to hospital, and median household income.ResultsOf an overall sample of 6603 MICU patients, 449 intubated patients were included in the study, and 204 patients were found to have AS. AS was statistically associated with decreased driving distance to the hospital and increases in BMI. PGS was statistically associated with increases in age. TS was statistically associated with increases in admission duration and not having residence status in Appalachia. VFI was statistically associated with decreases in driving distance to the hospital and not having residence status in Appalachia. Additionally, black patients had a higher odds of developing VFI compared to Caucasian patients.ConclusionAS is associated with sociodemographic factors such as age, BMI, shorter distance to hospital, admission duration, and no Appalachian status. These data demonstrate the need to further investigate the impact of social determinants of health on airway pathology and outcomes.Level of evidence4.

Characteristics of Cumulative Annual Radiation Exposure in Young Intensive Care Unit Survivors.

Patients admitted to the intensive care unit (ICU) are at high risk for hazardous medical radiation exposure. However, the cumulative annual radiation exposure in ICU survivors remains unknown. This was a single-center retrospective study of all critically ill adult patients admitted to the 64-bed adult medical ICU at a quaternary medical center. The study included patients aged 18 to 39 years admitted through the year 2013 (January 1, 2013-December 31, 2013) who survived their respective ICU admission. A total of 353 patients were included in the study. The median cumulative effective dose (CED) for the calendar year was 9.14 mSv (interquartile range, 1.74-27 mSv). In 11.6% of the patients (n = 41), CED was more than 50 mSv, while 5.1% of the patients (n = 18) exceeded annual CED of 100 mSv. Overall, radiation exposure from ICU-related imaging studies was lower than those from other medical settings (mean difference, -9.2 ± 83.6; P &lt; 0.05). However, there was no statistically significant difference in exposure (ICU versus non-ICU) when restricting the analysis to patients with a CED of greater than 50 and greater than 100 mSv. Eighty-seven percent of the original cohort was alive at the end of the year. Young ICU survivors are at risk for high annual radiation exposure from both ICU and non-ICU sources. A subset is exposed to hazardous annual radiation exposure in excess of 100 mSv.

Attributable Mortality of Ventilator-associated Pneumonia Among Patients with COVID-19.

Rationale: Patients with a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are at higher risk of ventilator-associated pneumonia (VAP) and may have an increased attributable mortality (increased or decreased risk of death if VAP occurs in a patient) and attributable fraction (proportion of deaths that are attributable to an exposure) of VAP-related mortality compared with subjects without coronavirus disease (COVID-19). Objectives: Estimation of the attributable mortality of the VAP among patients with COVID-19. Methods: Using the REA-REZO surveillance network, three groups of adult medical ICU patients were computed: control group (patients admitted between 2016 and 2019; prepandemic patients), pandemic COVID-19 group (PandeCOV+), and pandemic non-COVID-19 group (PandeCOV-) admitted during 2020. The primary outcome was the estimation of attributable mortality and attributable fraction related to VAP in these patients. Using multistate modeling with causal inference, the outcomes related to VAP were also evaluated. Measurements and Main Results: A total of 64,816 patients were included in the control group, 7,442 in the PandeCOV- group, and 1,687 in the PandeCOV+ group. The incidence of VAP was 14.2 (95% confidence interval [CI], 13.9 to 14.6), 18.3 (95% CI, 17.3 to 19.4), and 31.9 (95% CI, 29.8 to 34.2) per 1,000 ventilation-days in each group, respectively. Attributable mortality at 90 days was 3.15% (95%, CI, 2.04% to 3.43%), 2.91% (95% CI, -0.21% to 5.02%), and 8.13% (95% CI, 3.54% to 12.24%), and attributable fraction of mortality at 90 days was 1.22% (95% CI, 0.83 to 1.63), 1.42% (95% CI, -0.11% to 2.61%), and 9.17% (95% CI, 3.54% to 12.24%) for the control, PandeCOV-, and PandeCOV+ groups, respectively. Except for the higher risk of developing VAP, the PandeCOV- group shared similar VAP characteristics with the control group. PandeCOV+ patients were at lower risk of death without VAP (hazard ratio, 0.62; 95% CI, 0.52 to 0.74) than the control group. Conclusions: VAP-attributable mortality was higher for patients with COVID-19, with more than 9% of the overall mortality related to VAP.

Using a Standardized Rounding Tool to Improve the Incidence of Spontaneous Awakening and Breathing Trials.

Spontaneous awakening and breathing trials have been associated with shorter durations of mechanical ventilation and intensive care unit lengths of stay. Inconsistent spontaneous awakening trials and spontaneous breathing trials, mechanical ventilation weaning strategies, and interdisciplinary rounding processes contributed to prolonged mechanical ventilation duration and length of stay in a 44-bed adult medical intensive care unit. Methods A standardized rounding tool that focused on coordinating spontaneous awakening and breathing trials, and on their outcomes, was integrated into daily multidisciplinary rounds in a medical intensive care unit. Aggregated patient data from the 4-month project implementation phase were compared with historical data collected for 2 months before project implementation. During the 2-month preintervention phase, 613 adult patients were managed in the medical intensive care unit and 41 patients required mechanical ventilation, whereas during the 4-month intervention phase, 1271 patients were managed in the unit and 96 patients required mechanical ventilation. The project was associated with a 24% (0.89-day) reduction in the mean length of stay (3.72 vs 2.83 days) and a 46.3% (2.81 day) reduction in mechanical ventilation duration (6.06 vs 3.25 days) when comparing August 2019 to January 2020. A standardized rounding tool emphasizing a coordinated process for spontaneous awakening and breathing trials was associated with a shorter length of stay and duration of mechanical ventilation among patients in the medical intensive care unit. An evidence-based approach to weaning from mechanical ventilation and standardized rounding may be a cost-effective way to reduce mechanical ventilation duration and length of stay in a medical intensive care unit.

Serial Thromboelastography and the Development of Venous Thromboembolism in Critically Ill Patients With COVID-19.

Prospective, observational cohort study. Tertiary care, academic medical center in Nashville, TN. Patients with acute respiratory failure from COVID-19 pneumonia admitted to the adult medical ICU without known VTE at enrollment. None. Ninety-eight consecutive critically ill adults with laboratory-confirmed COVID-19 were enrolled. Thromboelastography parameters and conventional coagulation parameters were measured on days 0 (within 48 hr of ICU admission), 3, 5, and 7 after enrollment. The primary outcome was diagnosis of VTE with confirmed deep venous thrombosis and/or pulmonary embolism by clinical imaging or autopsy. Twenty-six patients developed a VTE. Multivariable regression controlling for antiplatelet exposure and anticoagulation dose with death as a competing risk found that lower MA was associated with increased risk of VTE. Each 1 mm increase in enrollment and peak MA was associated with an 8% and 14% decrease in the risk of VTE, respectively (enrollment MA: subdistribution hazard ratio [SHR], 0.92; 95% CI, 0.87-0.97; p = 0.003 and peak MA: SHR, 0.86; 95% CI, 0.81-0.91; p < 0.001). Lower enrollment platelet counts and fibrinogen levels were also associated with increased risk of VTE (p = 0.002 and p = 0.01, respectively). Platelet count and fibrinogen level were positively associated with MA (multivariable model: adjusted R 2 = 0.51; p < 0.001). When controlling for the competing risk of death, lower enrollment and peak MA were associated with increased risk of VTE. Lower platelet counts and fibrinogen levels at enrollment were associated with increased risk of VTE. The association of diminished MA, platelet counts, and fibrinogen with VTE may suggest a relative consumptive coagulopathy in critically ill patients with COVID-19.

ICU delirium burden predicts functional neurologic outcomes.

BackgroundWe investigated the effect of delirium burden in mechanically ventilated patients, beginning in the ICU and continuing throughout hospitalization, on functional neurologic outcomes up to 2.5 years following critical illness.MethodsProspective cohort study of enrolling 178 consecutive mechanically ventilated adult medical and surgical ICU patients between October 2013 and May 2016. Altogether, patients were assessed daily for delirium 2941days using the Confusion Assessment Method for the ICU (CAM-ICU). Hospitalization delirium burden (DB) was quantified as number of hospital days with delirium divided by total days at risk. Survival status up to 2.5 years and neurologic outcomes using the Glasgow Outcome Scale were recorded at discharge 3, 6, and 12 months post-discharge.ResultsOf 178 patients, 19 (10.7%) were excluded from outcome analyses due to persistent coma. Among the remaining 159, 123 (77.4%) experienced delirium. DB was independently associated with >4-fold increased mortality at 2.5 years following ICU admission (adjusted hazard ratio [aHR], 4.77; 95% CI, 2.10–10.83; P < .001), and worse neurologic outcome at discharge (adjusted odds ratio [aOR], 0.02; 0.01–0.09; P < .001), 3 (aOR, 0.11; 0.04–0.31; P < .001), 6 (aOR, 0.10; 0.04–0.29; P < .001), and 12 months (aOR, 0.19; 0.07–0.52; P = .001). DB in the ICU alone was not associated with mortality (HR, 1.79; 0.93–3.44; P = .082) and predicted neurologic outcome less strongly than entire hospital stay DB. Similarly, the number of delirium days in the ICU and for whole hospitalization were not associated with mortality (HR, 1.00; 0.93–1.08; P = .917 and HR, 0.98; 0.94–1.03, P = .535) nor with neurological outcomes, except for the association between ICU delirium days and neurological outcome at discharge (OR, 0.90; 0.81–0.99, P = .038).ConclusionsDelirium burden throughout hospitalization independently predicts long term neurologic outcomes and death up to 2.5 years after critical illness, and is more predictive than delirium burden in the ICU alone and number of delirium days.

From theory to bedside: Implementation of fluid stewardship in a medical ICU pharmacy practice.

Intravenous fluids are the most commonly prescribed medication in the intensive care unit (ICU) and can have a negative impact on patient outcomes if not utilized properly. Fluid stewardship aims to heighten awareness and improve practice in fluid therapy. This report describes a practical construct for implementation of fluid stewardship services and characterizes the pharmacist's role in fluid stewardship practice. Fluid stewardship services were integrated into an adult medical ICU at a large community hospital. Data characterizing these services over a 2-year span are reported and categorized based on the 4 rights (right patient, right drug, right route, right dose) and the ROSE (rescue, optimization, stabilization, evacuation) model of fluid administration. The review encompassed 305 patients totaling 905 patient days for whom 2,597 pharmacist recommendations were made, 19% of which were related to fluid stewardship. This corresponded to an average of 1.52 fluid stewardship recommendations per patient. Within the construct of the 4 rights, 39% of recommendations were related to the right patient, 33% were related to the right route, 17% were related to the right drug, and 11% were related to the right dose. By the ROSE model, 1% of recommendations were related to the rescue phase, 3% were related to optimization, 79% were related to stabilization, and 17% were related to evacuation. Implementation of fluid stewardship pharmacy services in a community hospital medical ICU is feasible. Integration of this practice contributed to 19% of pharmacy recommendations. The most common recommendations involved evaluation of the patient for the appropriateness of fluid therapy during the stabilization phase. The impact of fluid stewardship on patient outcomes needs to be explored.