Intensive Care Unit and Hospital Outcomes of Patients Admitted with Blastomycosis: A 14-Year Retrospective Study.

INTRODUCTION: Blastomycosis is an uncommon; potentially life-threatening granulomatous fungal infection. The aim of this study is to report hospital and intensive care unit (ICU) outcomes of patients admitted with blastomycosis. METHODS: All patients admitted for treatment of blastomycosis at the Mayo Clinic-Rochester, Minnesota between 01/01/2006 and 09/30/2019 were included. Demographics, comorbidities, clinical presentation, ICU admission, and outcomes were reviewed. RESULTS: A total of 84 Patients were identified with 90 unique hospitalizations primarily for blastomycosis. The median age at diagnosis was 49 (IQR 28.1-65, range: 6-85) years and 56 (66.7%) were male. The most frequent comorbidities included hypertension (n = 28, 33.3%); immunosuppressed state (n = 25, 29.8%), and diabetes mellitus (n = 21, 25%). The lungs were the only organ involved in 56 (66.7%) cases and the infection was disseminated in 19 (22.6%) cases. A total of 29 patients (34.5%) underwent ICU admission due to complications of blastomycosis. ICU related events included mechanical ventilation (n = 20, 23.8%), acute respiratory distress syndrome (ARDS) (n = 13, 15.5%), tracheostomy (n = 9, 10.7%), renal replacement therapy (n = 8, 9.5%), and extracorporeal membrane oxygenation (ECMO) (n = 4, 4.8%). A total of 12 patients (14.3%) died in the hospital; all of whom had undergone ICU admission. In-hospital mortality was associated with renal replacement therapy (RRT) (P = 0.0255). CONCLUSION: Blastomycosis is a serious, potentially life-threatening infection that results in significant morbidity and mortality with a 34.5% ICU admission rate. RRT was associated with in-hospital mortality.

Does testing for sleep-disordered breathing predischarge vs postdischarge result in different treatment outcomes?

STUDY OBJECTIVES: Treatment of sleep-disordered breathing may improve health-related outcomes postdischarge. However timely definitive sleep testing and provision of ongoing therapy has been a challenge. Little is known about how the time of testing-during hospitalization vs after discharge-affects important outcomes such as treatment adherence. METHODS: We conducted a 10-year retrospective study of hospitalized adults who received an inpatient sleep medicine consultation for sleep-disordered breathing and subsequent sleep testing. We divided them into inpatient and outpatient sleep testing cohorts and studied their clinical characteristics, follow-up, positive airway pressure adherence, pressure adherence, hospital readmission and mortality. RESULTS: Of 485 patients, 226 (47%) underwent inpatient sleep testing and 259 (53%) had outpatient sleep testing. The median age was 68 years old (interquartile range = 57-78), and 29.6% were females. The inpatient cohort had a higher Charlson Comorbidity Index (4 [3-6] vs 3[2-5], P ≤ .0004). A higher Charlson Comorbidity Index (hazard ratio = 1.14, 95% confidence interval:1.03-1.25, P = .001), body mass index (hazard ratio = 1.03, 95% confidence interval:1.0-1.05, P = .008), and stroke (hazard ratio = 2.22, 95% confidence interval:1.0-4.9, P = .049) were associated with inpatient sleep testing. The inpatient cohort kept fewer follow-up appointments (39.90% vs 50.62%, P = .03); however positive airway pressure adherence was high among those keeping follow-up appointments (88.9% [inpatient] vs 85.71% [outpatient], P = .55). The inpatient group had an increased risk for death (hazard ratio: 1.82 95% confidence interval 1.28-2.59, P ≤ .001) but readmission rates did not differ. CONCLUSIONS: Medically complex patients were more likely to receive inpatient sleep testing but less likely to keep follow-up, which could impact adherence and effectiveness of therapy. Novel therapeutic interventions are needed to increase sleep medicine follow-up postdischarge, which may result in improvement in health outcomes in hospitalized patients with sleep-disordered breathing. CITATION: Orbea CP, Jenad H, Kassab LL, et al. Does testing for sleep-disordered breathing predischarge vs postdischarge result in different treatment outcomes? J Clin Sleep Med. 2021;17(12):2451-2460.

Ultrasonographic Assessment of Extravascular Lung Water in Hospitalized Patients Requiring Hemodialysis: A Prospective Observational Study.

INTRODUCTION: Sonographic technologies can estimate extravascular lung water (EVLW) in hemodialysis (HD) patients. This study investigated the suitability of a handheld scanner in contrast to a portable scanner for quantifying EVLW in hospitalized patients requiring HD. METHODS: In this prospective study, 54 hospitalized HD patients were enrolled. Bedside lung ultrasound was performed within 30 min before and after dialysis using handheld (phased array transducer, 1.7-3.8 MHz) and portable (curved probe, 5-2 MHz) ultrasound devices. Eight lung zones were scanned for total B-lines number (TBLN). The maximum diameter of inferior vena cava (IVC) was measured. We performed Passing-Bablok regression, Deming regression, Bland-Altman, and logistic regression analysis. RESULTS: The 2 devices did not differ in measuring TBLN and IVC (p > 0.05), showing a high correlation (r = 0.92 and r = 0.51, respectively). Passing-Bablok regression had a slope of 1.11 and an intercept of 0 for TBLN, and the slope of Deming regression was 1.02 within the CI bands of 0.94 and 1.11 in the full cohort. TBLN was logarithmically transformed for Bland-Altman analysis, showing a bias of 0.06 (TBLN = 1.2) between devices. The slope and intercept of the Deming regression in IVC measurements were 0.77 and 0.46, respectively; Bland-Altman plot showed a bias of -0.07. Compared with predialysis, TBLN significantly (p < 0.001) decreased after dialysis, while IVC was unchanged (p = 0.16). Univariate analysis showed that cardiovascular disease (odds ratio [OR] 8.94 [2.13-61.96], p = 0.002), smoking history (OR 5.75 [1.8-20.46], p = 0.003), and right pleural effusion (OR 5.0 [1.2-25.99], p = 0.03) were strong predictors of EVLW indicated by TBLN ≥ 4. CONCLUSION: The lung and IVC findings obtained from handheld and portable ultrasound scanners are comparable and concordant. Cardiovascular disease and smoking history were strong predictors of EVLW. The use of TBLN to assess EVLW in hospitalized HD patients is feasible. Further studies are needed to determine if TBLN can help guide volume removal in HD patients.

Ventilator settings and outcome of respiratory failure in chronic interstitial lung disease.

BACKGROUND: While patients with interstitial lung disease (ILD) may be particularly susceptible to ventilator-induced lung injury, ventilator strategies have not been studied in this group of patients. PURPOSES: To describe the clinical course and outcome of patients with ILD and acute respiratory failure in relation to ventilatory parameters. METHODS: We retrospectively identified a cohort of ventilated patients with ILD who had been admitted to five ICUs at a single institution. We analyzed demographic data, pulmonary function test results, severity of illness, and the parameters of continuous ventilation for the initial 24 h after admission to the ICU. Primary outcomes were survival to hospital discharge and 1-year survival. MAIN RESULTS: Of 94 patients with ILD, 44 (47%) survived to hospital discharge and 39 (41%) were alive at 1 year. Nonsurvivors were less likely to be postoperative, had higher severity of illness, and were ventilated at higher airway pressures and lower tidal volumes. Step changes in positive end-expiratory pressure (PEEP) of > 10 cm H(2)O were attempted in 20 patients and resulted in an increase in plateau pressure (median difference, + 16 cm H(2)O; interquartile range [IQR], 9 to 24 cm H(2)O) and a decrease in respiratory system compliance (median difference, - 0.28 mL/kg/cm H(2)O; IQR, - 0.43 to - 0.13 mL/kg/cm H(2)O). The Cox proportional hazards model revealed that high PEEP (hazard ratio, 4.72; 95% confidence interval [CI], 2.06 to 11.15), acute physiology and chronic health evaluation (APACHE) III score predicted mortality (hazard ratio 1.33; 95% CI, 1.18 to 1.50), age (hazard ratio, 1.03; 95% CI, 1 to 1.05), and low Pao(2)/fraction of inspired oxygen ratio (hazard ratio, 0.96; 95% CI, 0.92 to 0.99) to be independent determinants of survival. CONCLUSION: Both severity of illness and high PEEP settings are associated with the decreased survival of patients with ILD who are receiving mechanical ventilation.

Failure of non-invasive ventilation in patients with acute lung injury: observational cohort study.

INTRODUCTION: The role of non-invasive positive pressure ventilation (NIPPV) in the treatment of acute lung injury (ALI) is controversial. We sought to assess the outcome of ALI that was initially treated with NIPPV and to identify specific risk factors for NIPPV failure. METHODS: In this observational cohort study at the two intensive care units of a tertiary center, we identified consecutive patients with ALI who were initially treated with NIPPV. Data on demographics, APACHE III scores, degree of hypoxemia, ALI risk factors and NIPPV respiratory parameters were recorded. Univariate and multivariate regression analyses were performed to identify risk factors for NIPPV failure. RESULTS: Of 79 consecutive patients who met the inclusion criteria, 23 were excluded because of a do not resuscitate order and two did not give research authorization. Of the remaining 54 patients, 38 (70.3%) failed NIPPV, among them all 19 patients with shock. In a stepwise logistic regression restricted to patients without shock, metabolic acidosis (odds ratio 1.27, 95% confidence interval (CI) 1.03 to 0.07 per unit of base deficit) and severe hypoxemia (odds ratio 1.03, 95%CI 1.01 to 1.05 per unit decrease in ratio of arterial partial pressure of O2 and inspired O2 concentration--PaO2/FiO2) predicted NIPPV failure. In patients who failed NIPPV, the observed mortality was higher than APACHE predicted mortality (68% versus 39%, p < 0.01). CONCLUSION: NIPPV should be tried very cautiously or not at all in patients with ALI who have shock, metabolic acidosis or profound hypoxemia.