Critical Care Among Disadvantaged Minority Groups Made Equitable: Trends Throughout the COVID-19 Pandemic.

BACKGROUND: US racial and ethnic minorities have well-established elevated rates of comorbidities, which, compounded with healthcare access inequity, often lead to worse health outcomes. In the current COVID-19 pandemic, it is important to understand existing disparities in minority groups' critical care outcomes and mechanisms behind these-topics that have yet to be well-explored. OBJECTIVE: Assess for disparities in racial and ethnic minority groups' COVID-19 critical care outcomes. DESIGN: Retrospective cohort study. PARTICIPANTS: A total of 2125 adult patients who tested positive for COVID-19 via RT-PCR between March and December 2020 and required ICU admission at the Cleveland Clinic Hospital Systems were included. MAIN MEASURES: Primary outcomes were mortality and hospital length of stay. Cohort-wide analysis and subgroup analyses by pandemic wave were performed. Multivariable logistic regression models were built to study the associations between mortality and covariates. KEY RESULTS: While crude mortality was increased in White as compared to Black patients (37.5% vs. 30.5%, respectively; p = 0.002), no significant differences were appraised after adjustment or across pandemic waves. Although median hospital length of stay was comparable between these groups, ICU stay was significantly different (4.4 vs. 3.4, p = 0.003). Mortality and median hospital and ICU length of stay did not differ significantly between Hispanic and non-Hispanic patients. Neither race nor ethnicity was associated with mortality due to COVID-19, although APACHE score, CKD, malignant neoplasms, antibiotic use, vasopressor requirement, and age were. CONCLUSIONS: We found no significant differences in mortality or hospital length of stay between different races and ethnicities. In a pandemic-influenced critical care setting that operated outside conditions of ICU strain and implemented standardized protocol enabling equitable resource distribution, disparities in outcomes often seen among racial and ethnic minority groups were successfully mitigated.

Risk factors associated with development of coinfection in critically Ill patients with COVID-19.

BACKGROUND: At outset of the coronavirus disease 2019 (COVID-19) pandemic, the significance of bacterial and fungal coinfections in individuals with COVID-19 was unknown. Initial reports indicated that the prevalence of coinfection in the general population was low, but there was uncertainty regarding the risk of coinfection in critically ill patients. METHODS: Nine hundred critically ill adult patients with COVID-19 infection were enrolled in this observational case-control study. Patients with a coinfection (case) and patients without a coinfection (control) were compared using univariate and multivariable analyses. A subgroup analysis was performed on patients with coinfection, dividing them into early (infection within 7 days) and late (infection after 7 days) infection groups. RESULTS: Two hundred and thirty-three patients (25.9%) had a bacterial or fungal coinfection. Vasopressor use (P<0.001) and severity of illness (higher Acute Physiology and Chronic Health Evaluation III score, P=0.009) were risk factors for the development of a coinfection. Patients with coinfection had higher mortality and length of stay. Vasopressor and corticosteroid use and central line and foley catheter placement were risk factors for late infection (>7 days). There were high rates of drug-resistant infections. CONCLUSIONS: Critically ill patients with COVID-19 are at risk for both community-acquired and hospital-acquired infections throughout their hospitalization for COVID-19. It is important to consider the development of a coinfection in clinically worsening critically ill patients with COVID-19 and consider the likelihood of drug-resistance when choosing an empiric regimen.

TIME FROM HOSPITAL ADMISSION TO ONSET OF SEPTIC SHOCK IS ASSOCIATED WITH HIGHER IN-HOSPITAL MORTALITY.

ABSTRACT: Objective: Several studies have shown septic shock developing later during the hospital stay is associated with higher mortality. However, the precise point at which time from hospital admission to the onset of septic shock (admission-shock-onset-time) becomes an independent prognostic marker of mortality remains unknown. This study evaluated the association between admission-shock-onset-time and in-hospital mortality among patients with septic shock and the optimal cutoff period to categorize early- and late-onset septic shock. Method: We conducted a single-center retrospective, observational cohort study at a quaternary academic hospital comprising adult patients with septic shock admitted to a medical intensive care unit (ICU) from January 2011 to December 2020. A multivariable additive logistic regression model was developed to assess if log-transformed admission-shock-onset-time was associated with in-hospital mortality. The thin plate spline function was used to describe the nonlinear relationship between the log-transformed admission-shock-onset-time and in-hospital mortality. The primary outcome was in-hospital mortality, and the secondary outcome was ICU mortality. Results: Two thousand five hundred twenty patients met the inclusion criteria with an overall in-hospital mortality of 37.3%. The log-transformed admission-shock-onset-time was associated with higher in-hospital and ICU mortality even after adjusting for clinical variables. The odds ratio for in-hospital mortality continued to increase throughout the observation period. The adjusted odds ratio exceeded 2 in between 20.1 and 54.6 h, and it surpassed 3 in between 54.6 and 148.4 h of the time from the hospital admission to shock onset. Conclusion: In-hospital mortality continued to rise as admission-shock-onset-time increased in patients with septic shock. No clear dichotomization between early and late septic shock could be ascertained, and this categorization may limit our understanding of the temporal relationship of shock onset to mortality.

Preparation and Characterization of Methyl Jasmonate Microcapsules and Their Preserving Effects on Postharvest Potato Tuber.

Potato tubers tend to sprout during long-term storage, resulting in quality deterioration and shortened shelf life. Restrictions on the use of chlorpropham, the major potato sprout suppressant, have led to a need to seek alternative methods. In this study, the effects of methyl jasmonate (MeJA) solutions and MeJA microcapsules on sprouting and other key quality attributes of the potato tuber were investigated. The results showed that the MeJA solution was most effective at 300 µmol L-1 according to TOPSIS analysis. To prepare MeJA microcapsules, the optimal formulation is with 0.04% emulsifier, 2.5% sodium alginate, 0.5% chitosan and 3% CaCl2. Compared to 300 µmol L-1 MeJA solution, MeJA microcapsules consumed a lower dose of MeJA but demonstrated a better retaining effect on the overall quality attributes of potato tubers. MeJA microcapsules are promising agents for the preservation of postharvest potato tubers.

A Multicenter Evaluation of Survival After In-Hospital Cardiac Arrest in Coronavirus Disease 2019 Patients.

IMPORTANCE: In-hospital cardiac arrest survival among coronavirus disease 2019 patients has been reported to range from 0% to 12%. These numbers are significantly lower than reported prepandemic in-hospital cardiac arrest survival rates of approximately 20-25% in the United States for non-coronavirus disease 2019 patients. OBJECTIVE: To assess the incidence of in-hospital cardiac arrest survival of coronavirus disease 2019 patients. DESIGN: A retrospective cohort study of adult patients with coronavirus disease 2019 subsequently found to have in-hospital cardiac arrest and underwent cardiopulmonary resuscitation (cardiopulmonary resuscitation). SETTING: Multiple hospitals of the Cleveland Clinic Health System. PATIENTS: All adult patients (age ≥ 18 yr) admitted to Cleveland Clinic Health System with a diagnosis of coronavirus disease 2019 who experienced in-hospital cardiac arrest requiring cardiopulmonary resuscitation. MEASUREMENTS AND MAIN RESULTS: From March 01, 2020 to October 15, 2020, 3,555 patients with coronavirus disease 2019 were hospitalized; 1,372 were admitted to the ICU; 58 patients had in-hospital cardiac arrest. Median age of this cohort was 66.5 years (interquartile range, 55.0-76.0 yr). Patients were predominantly male (62.5%), White (53.4%), with a median body mass index of 29.7 (interquartile range, 25.8-34.6). Most in-hospital cardiac arrests were in critical care environments (ICU), 51 of 58 (87.9%); seven of 58 (12.1%) were on ward locations. Thirty-four of 58 patients (58.6%) were on mechanical ventilation prior to in-hospital cardiac arrest with a median duration of mechanical ventilation of 9 days (interquartile range, 2-18 d). Twenty-four of 58 patients (44%) were on vasopressors prior to arrest. Initial arrest rhythm was pulseless electrical activity at (63.8%), asystole (29.3%), and pulseless ventricular tachycardia/fibrillation (6.9%). Of the 58 patients, 35 (60.3%) attained return of spontaneous circulation, and 13 of 58 (22.4%) were discharged alive. CONCLUSIONS: We report a 22% survival to discharge after in-hospital cardiac arrest in coronavirus disease 2019 patients, a survival rate similar to before the coronavirus disease 2019 pandemic.

Adherence to blood product transfusion guidelines-An observational study of the current transfusion practice in a medical intensive care unit.

BACKGROUND: Blood transfusions though life-saving are not entirely benign. They are the most overused procedure in the hospital and have been under scrutiny by the 'Choosing Wisely campaign'. The strict adoption of restrictive transfusion guidelines could improve patient outcomes while reducing cost. OBJECTIVES: In this study, we evaluate adherence to restrictive transfusion guidelines, along with hospital mortality and length of stay (LOS) in transfusion events with a pre-transfusion haemoglobin (Hb) ≥7 g/dl. Additionally, we evaluated associated costs accrued due to unnecessary transfusions. METHODS: We conducted a retrospective observational study in a 64-bed medical intensive care unit (MICU) of an academic medical centre involving all adult patients (N = 957) requiring packed red blood cell transfusion between January 2015 and December 2015. RESULTS: In total, 3140 units were transfused with a mean pre-transfusion Hb of 6.75 ± 0.86 g/dl. Nine hundred forty-four (30%) transfusion events occurred with a pre-transfusion Hb ≥7 g/dl, and 385 (12.3%) of these occurred in patients without hypotension, tachycardia, use of vasopressors, or coronary artery disease. Forgoing them could have led to a savings of approximately 0.3 million dollars. Transfusion events with pre-transfusion Hb ≥7 g/dl were associated with an increased mortality in patients with acute blood loss (odds ratio [OR] 2.08, 95% confidence interval [CI] 1.11-3.88; p = 0.02) and LOS in patients with chronic blood loss (ß1 .8.26, 95% CI 4.09-12.43; p < 0.01). CONCLUSION: A subset of anaemic patients in the MICU still receive red blood cell transfusions against restrictive guidelines offering hospitals the potential for effective intervention that has both economic and clinical implications.

Tocilizumab in Coronavirus Disease 2019-Related Critical Illness: A Propensity Matched Analysis.

The primary objective was to evaluate ICU mortality at 28 days in patients with severe hypoxemic respiratory failure due to coronavirus disease 2019 infection who received tocilizumab. The secondary objectives were to evaluate ICU-, hospital-, mechanical ventilation-, and vasopressor-free days at day 28 and development of secondary infections. DESIGN: Retrospective, observational, multicenter, cohort study between March 15, 2020, and May 31, 2020. Using propensity score matching based on ICU admission source, C-reactive protein, Sequential Organ Failure Assessment score, vasopressor use, age, race, weight, and mechanical ventilation, patients who received tocilizumab were matched to patients who did not receive tocilizumab. SETTING: Ten hospitals within the Cleveland Clinic Enterprise. PATIENTS: Adult patients admitted to a medical, surgical, neurosciences, or mixed ICU with severe acute respiratory syndrome coronavirus 2 infection. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Four-hundred forty-four patients were included: 342 patients (77%) did not receive tocilizumab and 102 patients (23%) received tocilizumab. Of those, 82 patients in each arm were matched. Before matching, patients who received tocilizumab had higher Sequential Organ Failure Assessment scores (6.1 ± 3.4 vs 4.7 ± 3.6), higher C-reactive protein (21.0 ± 10.2 vs 13.7 ± 9.6 mg/dL), higher frequency of intubation, vasopressor requirement, and paralytics. After matching, characteristics were more balanced and over 85% of patients required mechanical ventilation. ICU mortality was lower in tocilizumab group (23.2% vs 37.8%; risk difference, -15%; 95% CI, -29% to -1%), with more ICU-, hospital-, and vasoactive-free days at day 28 compared with those who did not receive tocilizumab. There was no difference in mechanical ventilation-free days at day 28 or development of secondary infections. CONCLUSIONS: Tocilizumab use was associated with a significant decrease in ICU mortality in critically ill coronavirus disease 2019 patients with severe hypoxemic respiratory failure. Future randomized controlled trials limited to tocilizumab administration in critically ill coronavirus disease 2019 patients, with severe hypoxemic respiratory failure, are needed to support these findings.

Single-Center Experience of Outcomes and Prescribing Patterns of IV Immunoglobulin Use in Critically Ill Patients.

Previous literature has not compared prescribing practices of IV immunoglobulin in medical ICU survivors and nonsurvivors. The objective of this study was to study IV immunoglobulin use in patients admitted to a medical ICU evaluating differences between hospital survivors and nonsurvivors in regards to level of evidence supporting use, prescribing patterns, and cost. DESIGN: Retrospective, observational study. SETTING: Single, academic medical center medical ICU. PATIENTS: Adults who received greater than or equal to 1 dose of IV immunoglobulin during their medical ICU admission from 2011 to 2018. INTERVENTIONS: Prescribing patterns, level of evidence supporting use, and cost. MEASUREMENTS AND MAIN RESULTS: A total of 389 patients received greater than or equal to 1 dose of IV immunoglobulin for 46 discrete indications and 36.5% of indications had low-quality data supporting use of IV immunoglobulin. The primary indication for IV immunoglobulin was hypogammaglobulinemia (35.5%) followed by antibody-mediated lung transplant rejection (15.4%). Nonsurvivors received lower median dosing (g/kg) and number of doses compared with survivors (0.4 g/kg [0.4-1 g/kg] vs 0.5 g/kg [0.4-1 g/kg] [p = 0.0003] and 1.0 [1-2] vs 2 [1-3] doses [p = 0.0001], respectively). Dosing was based on ideal body weight in 258 patients (66%). High-quality data supported IV immunoglobulin use in 15 patients (4%). The median cost per dose of IV immunoglobulin in nonsurvivors was $4,893 ($4,078-$8,155) versus $5,709 ($4,078-$10,602) in survivors (p = 0.04). CONCLUSIONS: IV immunoglobulin is prescribed for many indications in the medical ICU with low-quality evidence supporting its use and dosing regimens are variable. Hospital survivors received a higher dose and greater number of doses of IV immunoglobulin compared with nonsurvivors. National guidelines are needed to help inform IV immunoglobulin utilization and reduce healthcare costs.

Multicenter Study of Temporal Changes and Prognostic Value of a CT Visual Severity Score in Hospitalized Patients With Coronavirus Disease (COVID-19).

BACKGROUND. Chest CT findings have the potential to guide treatment of hospitalized patients with coronavirus disease (COVID-19). OBJECTIVE. The purpose of this study was to assess a CT visual severity score in hospitalized patients with COVID-19, with attention to temporal changes in the score and the role of the score in a model for predicting in-hospital complications. METHODS. This retrospective study included 161 inpatients with COVID-19 from three hospitals in China who underwent serial chest CT scans during hospitalization. CT examinations were evaluated using a visual severity scoring system. The temporal pattern of the CT visual severity score across serial CT examinations during hospitalization was characterized using a generalized spline regression model. A prognostic model to predict major complications, including in-hospital mortality, was created using the CT visual severity score and clinical variables. External model validation was evaluated by two independent radiologists in a cohort of 135 patients from a different hospital. RESULTS. The cohort included 91 survivors with nonsevere disease, 55 survivors with severe disease, and 15 patients who died during hospitalization. Median CT visual lung severity score in the first week of hospitalization was 2.0 in survivors with non-severe disease, 4.0 in survivors with severe disease, and 11.0 in nonsurvivors. CT visual severity score peaked approximately 9 and 12 days after symptom onset in survivors with nonsevere and severe disease, respectively, and progressively decreased in subsequent hospitalization weeks in both groups. In the prognostic model, in-hospital complications were independently associated with a severe CT score (odds ratio [OR], 31.28), moderate CT score (OR, 5.86), age (OR, 1.09 per 1-year increase), and lymphocyte count (OR, 0.03 per 1 × 109/L increase). In the validation cohort, the two readers achieved C-index values of 0.92-0.95, accuracy of 85.2-86.7%, sensitivity of 70.7-75.6%, and specificity of 91.4-91.5% for predicting in-hospital complications. CONCLUSION. A CT visual severity score is associated with clinical disease severity and evolves in a characteristic fashion during hospitalization for COVID-19. A prognostic model based on the CT visual severity score and clinical variables shows strong performance in predicting in-hospital complications. CLINICAL IMPACT. The prognostic model using the CT visual severity score may help identify patients at highest risk of poor outcomes and guide early intervention.

COPD Overdiagnosis and Its Effect on 30-Day Hospital Readmission Rates.

BACKGROUND: Although specific guidelines exist for diagnosing COPD on the basis of spirometry testing data (FEV1/FVC < 0.70 or above the lower limit of normal), the literature suggests that overdiagnosis is common. Whether overdiagnosis increases 30-d readmission rates has not yet been explored. The objective of this study was to determine the prevalence of COPD overdiagnosis and its effect on 30-d hospital readmission rates in our institution. METHODS: We retrospectively identified all subjects who were coded with a COPD hospital discharge in 2018 at Cleveland Clinic main campus and had spirometry data available, including FEV1 and FVC. FEV1/FVC was calculated and compared with the predicted lower limit of normal values. Hospital discharge diagnosis and 30-d hospital readmission data were captured along with comorbidities and other demographics. RESULTS: In 2018, there were 424 hospital discharges with a COPD diagnosis with spirometry testing available. Of these subjects, 124 (29%) were overdiagnosed in the lower limit of normal group and 99 (23.3%) were in the ≥ 0.70 group. One hundred subjects (23.6%) had a 30-d hospital readmission. Of these subjects, 35 had FEV1/FVC that was greater than their predicted lower limit of normal on spirometry. Of the 324 subjects who were not readmitted within 30 d, 89 (27.5%) had FEV1/FVC greater than the lower limit of normal. If the 35 readmitted subjects had not been coded with COPD, the 30-d readmission rate would have decreased significantly from 23.6% to 16.7% (100 of 424 vs 65 of 389, P = .01). Even if all of the 124 subjects who had pulmonary function test data greater than the lower limit of normal had not been counted, the readmission rate would still have decreased from 23.6% to 21.7%, but this was not significant (from 100 of 424 to 65 of 300, P = .3). CONCLUSIONS: COPD was overdiagnosed in our cohort of subjects; this was true whether the FEV1/FVC < 0.70 standard or the lower limit of normal standard was used. Furthermore, this overdiagnosis artificially inflated the 30-d readmission rate. These results illustrate the caution providers should use when making a COPD diagnosis.

Does inpatient hyperglycemia predict a worse outcome in COVID-19 intensive care unit patients?

BACKGROUND: We undertook this study to evaluate the association between hyperglycemia and outcomes in patients with coronavirus disease 2019 (COVID-19) admitted to the intensive care unit (ICU). METHODS: We conducted a multicenter retrospective study involving all adults with COVID-19 admitted to the ICU between March and May 2020. Patients were divided into normoglycemic (average blood glucose <140 mg/dL) and hyperglycemic (average blood glucose ≥140 mg/dL) groups. Outcomes such as mortality, need and duration of mechanical ventilation, and length of hospital and ICU stays were measured. RESULTS: Among 495 patients, 58.4% were male with a median age of 68 years (interquartile range [IQR]: 58.00-77.00), and baseline average blood glucose was 186.6 (SD ± 130.8). Preexisting diabetes was present in 35.8% of the studied cohort. Combined ICU and hospital mortality rates were 23.8%; mortality and mechanical ventilation rates were significantly higher in the hyperglycemic group with 31.4% vs 16.6% (P = .001) and 50.0% vs 37.2% (P = .004), respectively. Age above 60 years (hazard ratio [HR] 3.21; 95% CI 1.78, 5.78) and hyperglycemia (HR 1.79; 95% CI 1.14, 2.82) were the only significant predictors of in-hospital mortality. Increased risk for hyperglycemia was found in patients with steroid use (odds ratio [OR] 1.521; 95% CI 1.054, 2.194), triglycerides ≥150 mg/dL (OR 1.62; 95% CI 1.109, 2.379), and African American race (OR 0.79; 95% CI 0.65, 0.95). CONCLUSIONS: Hyperglycemia in patients with COVID-19 is significantly associated with a prolonged ICU length of stay, higher need of mechanical ventilation, and increased risk of mortality in the critical care setting. Tighter blood glucose control (≤140 mg/dL) might improve outcomes in COVID-19 critically ill patients; evidence from ongoing clinical trials is needed.

Clinical characteristics and outcomes of critically Ill patients with COVID-19 in Northeast Ohio: low mortality and length of stay.

BACKGROUND: Published coronavirus disease 2019 (COVID-19) reports suggest higher mortality with increasing age and comorbidities. Our study describes the clinical characteristics and outcomes for all intensive care unit (ICU) patients admitted across the Cleveland Clinic enterprise, a 10-hospital health care system in Northeast Ohio, serving more than 2.7 million people. METHODS: We analyzed the quality data registry for clinical characteristics and outcomes of all COVID-19-confirmed ICU admissions. Differences in outcomes from other health care systems and published cohorts from other parts of the world were delineated. RESULTS: Across our health care system, 495 COVID-19 patients were admitted from March 15 to June 1, 2020. Mean patient age was 67.3 years, 206 (41.6%) were females, and 289 (58.4%) were males. Mean Acute Physiology Score was 45.3, and mean Acute Physiology and Chronic Health Evaluation III score was 60.5. In total, 215 patients (43.3%) were intubated for a mean duration of 9.2 days. Mean ICU and hospital length of stay were 7.4 and 13.9 days, respectively, while mean ICU and hospital mortality rates were 18.4% and 23.8%. CONCLUSIONS: Our health care system cohort is the fourth largest to be reported. Lower ICU and hospital mortality and length of stay were seen compared to most other published reports. Better preparedness and state-level control of the surge in COVID-19 infections are likely the reasons for these better outcomes. Future research is needed to further delineate differences in mortality and length of stay across health care systems and over time.

Comparison of single versus double door posterior cervical laminoplasty for patients with cervical spondylotic myelopathy: A systematic review and meta-analysis.

OBJECTIVE: We undertook a meta-analysis to compare the efficacy and safety of single versus double door posterior cervical laminoplasty for cervical spondylotic myelopathy. METHODS: PubMed, Embase, and Cochrane Central Register of controlled trials were searched for randomized controlled trials investigating single and double door posterior cervical laminoplasty for cervical spondylotic myelopathy. The Mantel-Haenszel method with the fixed-effects or random-effects model was used to calculate relative risks and 95% confidence intervals (CIs). RESULTS: Seven studies with 224 patients met the eligibility criteria and were included. There was a significant difference in Japanese Orthopedic Association score (MD = 0.79, 95%CI [0.09, 1.49], P = .03; P for heterogeneity = .09, I = 45%), and adverse events (OR = 0.32, 95%CI [0.11, 0.95], P = .04; P for heterogeneity = 1.00, I = 0%) between the double door posterior cervical laminoplasty group and the single door posterior cervical laminoplasty group. There was no significance in operative time (MD = 0.56, 95%CI [-11.86, 12.98], P = .93; P for heterogeneity = 0.001, I = 73%) and length of hospital stay (OR = -0.75, 95%CI [-1.78, 0.27], P = .15; P for heterogeneity = 1.00, I = 0%) between the 2 groups. CONCLUSION: Double door posterior cervical laminoplasty is more effective and safer than single door laminoplasty in the treatment of cervical spondylotic myelopathy.

Lung Cancer Screening: Characteristics of Nonparticipants and Potential Screening Barriers.

BACKGROUND: Patients eligible and referred for lung cancer screening (LCS) may not complete the visit. We aimed to identify differences in demographic, clinical, and socioeconomic characteristics between LCS participants and LCS-eligible nonparticipants and determine potential reasons for nonparticipation. MATERIALS AND METHODS: LCS-eligible patients referred between April 2015 and August 2016 were divided into participants and nonparticipants. Retrospective data were collected. A telephone survey was conducted in a subset of nonparticipants to identify reasons for not participating and assess their understanding of the benefits and harms of LCS. RESULTS: We identified 542 participants and 276 LCS-eligible nonparticipants. Female sex, lower pack-years, active smoking, the absence of a history of chronic obstructive pulmonary disease, coronary artery disease, or liver disease, and chronic kidney disease or a history of malignancy were associated with not participating. One hundred nonparticipants completed the telephone survey-29% were unaware of the appointment; 19% had concerns about the distance from the screening site and 14% with insurance coverage; 10% had fear of the imaging result; and 10% felt the computed tomography scan was unnecessary. Eighteen percent knew the benefit of LCS, and 69% were not aware of any screening harms. CONCLUSIONS: LCS-eligible nonparticipants are more likely to be female, active smokers, have fewer total pack-years of smoking, chronic kidney disease, a history of prior malignancy, and not have chronic obstructive pulmonary disease, coronary artery disease, or liver disease. Targeted education about the benefits and harms of LCS, verification of insurance coverage, and providing convenient screening locations may improve participation.

Electronic inhaler monitoring and healthcare utilization in chronic obstructive pulmonary disease.

INTRODUCTION: The effect of electronic inhaler monitoring (EIM) on healthcare utilization in chronic obstructive pulmonary disease (COPD) has not been studied. We hypothesized that the use of EIM in conjunction with a disease management program reduces healthcare utilization in patients with COPD. METHODS: This is a retrospective pre- and post-analysis of a quality improvement project. Patients with COPD and high healthcare utilization (≥one hospitalization or emergency room visit during the year prior to enrolment) were provided with electronic monitoring devices for monitoring controller and rescue inhaler utilization for one year. Patients were contacted when alerts were triggered, indicating suboptimal adherence to controller inhaler or increased use of rescue inhalers, potentially signalling an impending exacerbation. Healthcare utilization was assessed pre- and post-monitoring, with each subject serving as his/her own control. RESULTS: Patients with COPD and high healthcare utilization (n = 39) were recruited. Mean EIM duration was 280.5 (±120.6) days. The mean age was 68.6 (±9.9) years, FEV1 (mean forced expiratory volume in one second) was 1.1 (±0.4) L, and mean Charlson Comorbidity index was 5.6 (±2.7). Average adherence was 44.4% (28.4%). Compared with the year prior to enrolment, EIM was associated with a reduction in COPD-related healthcare utilization per year (2.2 (±2.3) versus 3.4 (±3.2), p = 0.01). Although there was a reduction in all-cause healthcare utilization, this was not statistically significant (3.4 (±2.6) versus 4.7 (±4.1), p = 0.06). DISCUSSION: EIM in conjunction with a disease management program may play a role in reducing healthcare utilization in COPD patients with a history of high healthcare utilization.

A Novel Diagnostic Algorithm for Heparin-Induced Thrombocytopenia in a Retrospective Cohort of Lung Transplant Recipients.

INTRODUCTION: Heparin-induced thrombocytopenia (HIT) is characterized by thrombocytopenia and potential for thromboembolism. Lung transplant recipients are at risk of developing HIT due to heparin exposure peritransplant. We describe the incidence and impact of HIT in lung transplant recipient index hospital length of stay and survival. DESIGN: A retrospective cohort was obtained from electronic medical records which were queried for all recipients treated with bivalirudin (institutional treatment of choice for HIT) between January 1, 2005, and February 16, 2017 (N = 1171). Patients who developed HIT >30 days after transplant or after their index transplant admission were excluded. A diagnostic algorithm was used retrospectively to determine clinical HIT with an intermediate or high pretest clinical suspicion ("4T" score ≥4) and either (1) positive anti-heparin-platelet-factor 4 (HPF4) assay and a positive functional platelet assay or (2) a positive HPF4 assay only, in patients who did not undergo cardiopulmonary bypass. RESULTS: Among all lung transplant recipients, 2.1% were found to develop HIT in the peritransplant period (N = 25, mean = 88%) with a mean lung allocation score of 50.8 and an incidence of venous thromboembolism of 72%, most upper extremity in location. When matched with historical controls, patients with HIT had a longer overall index hospital length of stay of 43 days (P = .008). There was no difference in short- or long-term survival posttransplant. CONCLUSION: Vigilance for the development of HIT in lung transplant recipients is necessary to prevent further morbidity from thromboembolic events. In our cohort, HIT increased hospital length of stay but did not appear to affect recipient survival.