National Emergency Tele-Critical Care in a Pandemic: Barriers and Solutions.

The COVID-19 pandemic caused tremendous disruption to the U.S. healthcare system and nearly crippled some hospitals during large patient surges. Limited ICU beds across the country further exacerbated these challenges. Telemedicine, specifically tele-critical care (TCC), can expand a hospital's clinical capabilities through remote expertise and increase capacity by offloading some monitoring to remote teams. Unfortunately, the rapid deployment of telemedicine, especially TCC, is constrained by multiple barriers. In the summer of 2020, to support the National Emergency Tele-Critical Care Network (NETCCN) deployment, more than 50 national leaders in applying telemedicine technologies to critical care assembled to provide their opinions about barriers to NETCCN implementation and strategies to overcome them. Through consensus, these experts developed white papers that formed the basis of this article. Herein, the authors share their experience and propose multiple solutions to barriers presented by laws, local policies and cultures, and individual perspectives according to a minimum, better, best paradigm for TCC delivery in the setting of a national disaster. Cross-state licensure and local privileging of virtual experts were identified as the most significant barriers to rapid deployment of services, whereas refining the model of TCC to achieve the best outcomes and defining the best financial model is the most significant for long-term success. Ultimately, we conclude that a rapidly deployable national telemedicine response system is achievable.

Epidemiology and Outcome of Sepsis in Adults and Children in a Rural, Sub-Sahara African Setting.

OBJECTIVES: To identify the epidemiology and outcome of adults and children with and without sepsis in a rural sub-Sahara African setting. DESIGN: A priori planned substudy of a prospective, before-and-after trial. SETTING: Rural, sub-Sahara African hospital. PATIENTS: One-thousand four-hundred twelve patients (adults, n = 491; children, n = 921) who were admitted to hospital because of an acute infection. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Demographic, clinical, laboratory data, danger signs, and the presence of sepsis (defined as a quick Sequential Organ Failure Assessment score count ≥ 2) at admission were extracted. Sepsis was observed in 69 adults (14.1%) and 248 children (26.9%). Sepsis patients differed from subjects without sepsis in several demographic and clinical aspects. Malaria was the most frequent type of infection in adults (66.7%) and children (63.7%) with sepsis, followed by suspected bacterial and parasitic infections other than malaria. Adults with sepsis more frequently developed respiratory failure (8.7% vs 2.1%; p = 0.01), had a higher in-hospital mortality (17.4% vs 8.3%; p < 0.001), were less often discharged home (81.2% vs 92.2%; p = 0.007), and had higher median (interquartile range) costs of care (30,300 [19,400-49,900] vs 42,500 Rwandan Francs [27,000-64,400 Rwandan Francs]; p = 0.004) than adults without sepsis. Children with sepsis were less frequently discharged home than children without sepsis (93.1% vs 96.4%; p = 0.046). Malaria and respiratory tract infections claimed the highest absolute numbers of lives. The duration of symptoms before hospital admission did not differ between survivors and nonsurvivors in adults (72 [24-168] vs 96 hr [72-168 hr]; p = 0.27) or children (48 [24-72] vs 36 [24-108 hr]; p = 0.8). Respiratory failure and coma were the most common causes of in-hospital death. CONCLUSIONS: In addition to suspected bacterial, viral, and fungal infections, malaria and other parasitic infections are common and important causes of sepsis in adults and children admitted to a rural hospital in sub-Sahara Africa. The in-hospital mortality associated with sepsis is substantial, primarily in adults.

The inability to walk unassisted at hospital admission as a valuable triage tool to predict hospital mortality in Rwandese patients with suspected infection.

OBJECTIVE: To assess the value of the inability to walk unassisted to predict hospital mortality in patients with suspected infection in a resource-limited setting. METHODS: This is a post hoc study of a prospective trial performed in rural Rwanda. Patients hospitalized because of a suspected acute infection and who were able to walk unassisted before this disease episode were included. At hospital presentation, the walking status was graded into: 1) can walk unassisted, 2) can walk assisted only, 3) cannot walk. Receiver operating characteristic (ROC) analyses and two-by-two tables were used to determine the sensitivity, specificity, negative and positive predictive values of the inability to walk unassisted to predict in-hospital death. RESULTS: One-thousand-sixty-nine patients were included. Two-hundred-one (18.8%), 315 (29.5%), and 553 (51.7%) subjects could walk unassisted, walk assisted or not walk, respectively. Their hospital mortality was 0%, 3.8% and 6.3%, respectively. The inability to walk unassisted had a low specificity (20%) but was 100% sensitive (CI95%, 90-100%) to predict in-hospital death (p = 0.00007). The value of the inability to walk unassisted to predict in-hospital mortality (AUC ROC, 0.636; CI95%, 0.564-0.707) was comparable to that of the qSOFA score (AUC ROC, 0.622; CI95% 0.524-0.728). Fifteen (7.5%), 34 (10.8%) and 167 (30.2%) patients who could walk unassisted, walk assisted or not walk presented with a qSOFA score count ≥2 points, respectively (p<0.001). The inability to walk unassisted correlated with the presence of risk factors for death and danger signs, vital parameters, laboratory values, length of hospital stay, and costs of care. CONCLUSIONS: Our results suggest that the inability to walk unassisted at hospital admission is a highly sensitive predictor of in-hospital mortality in Rwandese patients with a suspected acute infection. The walking status at hospital admission appears to be a crude indicator of disease severity.

A Machine Learning-Based Triage Tool for Children With Acute Infection in a Low Resource Setting.

OBJECTIVES: To deploy machine learning tools (random forests) to develop a model that reliably predicts hospital mortality in children with acute infections residing in low- and middle-income countries, using age and other variables collected at hospital admission. DESIGN: Post hoc analysis of a single-center, prospective, before-and-after feasibility trial. SETTING: Rural district hospital in Rwanda, a low-income country in Sub-Sahara Africa. PATIENTS: Infants and children greater than 28 days and less than 18 years of life hospitalized because of an acute infection. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Age, vital signs (heart rate, respiratory rate, and temperature) capillary refill time, altered mental state collected at hospital admission, as well as survival status at hospital discharge were extracted from the trial database. This information was collected for 1,579 adult and pediatric patients admitted to a regional referral hospital with an acute infection in rural Rwanda. Nine-hundred forty-nine children were included in this analysis. We predicted survival in study subjects using random forests, a machine learning algorithm. Five prediction models, all including age plus two to five other variables, were tested. Three distinct optimization criteria of the algorithm were then compared. The in-hospital mortality was 1.5% (n = 14). All five models could predict in-hospital mortality with an area under the receiver operating characteristic curve ranging between 0.69 and 0.8. The model including age, respiratory rate, capillary refill time, altered mental state exhibited the highest predictive value area under the receiver operating characteristic curve 0.8 (95% CI, 0.78-0.8) with the lowest possible number of variables. CONCLUSIONS: A machine learning-based algorithm could reliably predict hospital mortality in a Sub-Sahara African population of 949 children with an acute infection using easily collected information at admission which includes age, respiratory rate, capillary refill time, and altered mental state. Future studies need to evaluate and strengthen this algorithm in larger pediatric populations, both in high- and low-/middle-income countries.

VV-ECMO for surgical cure of a critical central airway obstruction.

Extracorporeal membrane oxygenation (ECMO) is a form of prolonged cardiopulmonary bypass that has extensively been used in critically ill patients in an intensive care setting. Both veno-venous (VV-) and veno-arterial (VA-) ECMO have been described as a perioperative rescue or replacement of endotracheal intubation in the setting of extrinsic airway compression due to a mediastinal mass. In this paper, we will outline the utility of ECMO in the context of extrinsic airway compression and will use an illustrative case to examine how ECMO can be useful during severe airway obstruction. Our patient successfully underwent surgical resection of the mass while on VV-ECMO. His symptoms resolved quickly and is now back to his baseline quality of life.

Increasing Evidence-Based Interventions in Patients with Acute Infections in a Resource-Limited Setting: A Before-and-After Feasibility Trial in Gitwe, Rwanda.

OBJECTIVE: To evaluate whether a focused education program and implementation of a treatment bundle increases the rate of early evidence-based interventions in patients with acute infections. DESIGN: Single-center, prospective, before-and-after feasibility trial. SETTING: Emergency department of a sub-Saharan African district hospital. PATIENTS: Patients > 28 days of life admitted to the study hospital for an acute infection. INTERVENTIONS: The trial had three phases (each of four months). Interventions took place during the second (educational program followed by implementation of the treatment bundle) and third (provision of resources to implement treatment bundle) phases. MEASUREMENTS AND MAIN RESULTS: Demographic, clinical, and laboratory data were collected at study enrollment; 24, 48, and 72 hours after hospital admission; and at discharge. A total of 1,594 patients were enrolled (pre-intervention, n = 661; intervention I, n = 531; intervention II, n = 402). The rate of early evidence-based interventions per patient during Intervention Phase I was greater than during the pre-intervention phase (74 ± 17 vs. 79 ± 15%, p < 0.001). No difference was detected when data were compared between Intervention Phases I and II (79 ± 15 vs. 80 ± 15%, p = 0.58). No differences in the incidence of blood transfusion (pre-intervention, 6%; intervention I, 7%; intervention II, 7%) or severe adverse events in the first 24 hours (allergic reactions: pre-intervention, 0.2%; intervention I, 0%; intervention II, 0%; respiratory failure: pre-intervention, 2%; intervention I, 2%; intervention II, 2%; acute renal failure: pre-intervention, 2%; intervention I, 2%; intervention II, 1%) were observed. CONCLUSIONS: Our results indicate that a focused education program and implementation of an infection treatment bundle in clinical practice increased the rate of early evidence-based interventions in patients with acute infections (mostly malaria) admitted to a sub-Saharan African district hospital. Provision of material resources did not further increase this rate. While no safety issues were detected, this could be related to the very low disease severity of the enrolled patient population (www.clinicaltrials.gov: NCT02697513).

Increasing evidence-based interventions in patients with acute infections in a resource-limited setting: a before-and-after feasibility trial in Gitwe, Rwanda.

OBJECTIVE: To evaluate whether a focused education program and implementation of a treatment bundle increases the rate of early evidence-based interventions in patients with acute infections. DESIGN: Single-center, prospective, before-and-after feasibility trial. SETTING: Emergency department of a sub-Saharan African district hospital. PATIENTS: Patients > 28 days of life admitted to the study hospital for an acute infection. INTERVENTIONS: The trial had three phases (each of 4 months). Interventions took place during the second (educational program followed by implementation of the treatment bundle) and third (provision of resources to implement treatment bundle) phases. MEASUREMENTS AND MAIN RESULTS: Demographic, clinical, and laboratory data were collected at study enrollment; 24, 48, and 72 h after hospital admission; and at discharge. A total of 1594 patients were enrolled (pre-intervention, n = 661; intervention I, n = 531; intervention II, n = 402). The rate of early evidence-based interventions per patient during Intervention Phase I was greater than during the pre-intervention phase (74 ± 17 vs. 79 ± 15%, p < 0.001). No difference was detected when data were compared between Intervention Phases I and II (79 ± 15 vs. 80 ± 15%, p = 0.58). No differences in the incidence of blood transfusion (pre-intervention, 6%; intervention I, 7%; intervention II, 7%) or severe adverse events in the first 24 h (allergic reactions: pre-intervention, 0.2%; intervention I, 0%; intervention II, 0%; respiratory failure: pre-intervention, 2%; intervention I, 2%; intervention II, 2%; acute renal failure: pre-intervention, 2%; intervention I, 2%; intervention II, 1%) were observed. CONCLUSIONS: Our results indicate that a focused education program and implementation of an infection treatment bundle in clinical practice increased the rate of early evidence-based interventions in patients with acute infections (mostly malaria) admitted to a sub-Saharan African district hospital. Provision of material resources did not further increase this rate. While no safety issues were detected, this could be related to the very low disease severity of the enrolled patient population ( http://www.clinicaltrials.gov : NCT02697513).

The use of an electronic medical record based automatic calculation tool to quantify risk of unplanned readmission to the intensive care unit: a validation study.

OBJECTIVE: The aim of this study was to refine and validate an automatic risk of unplanned readmission (Stability and Workload Index for Transfer, or SWIFT) calculator in a prospective cohort of consecutive medical intensive care unit (ICU) patients in a teaching hospital with comprehensive electronic medical records (EMRs). DESIGN: A 2-phase (derivation and validation) prospective cohort study was conducted. SETTINGS: The study was conducted in an academic medical ICU. SUBJECTS: A consecutive cohort of adult (age >18 years) patients with research authorization were analyzed. INTERVENTION: The EMR-based automatic SWIFT calculator was used for this study. MEASUREMENT: Agreement between the manual ("gold standard") and automatic SWIFT calculation tool was obtained. MAIN RESULTS: During the derivation phase, we enrolled 191 consecutive medical ICU patients. Scores of SWIFT for these patients calculated manually by the 2 reviewers had strong positive correlation (r = 0.97), and the mean (SD) difference was 0.43 (3.5). The first iteration of the automatic SWIFT calculator in the derivation cohort demonstrated excellent agreement with manual calculation, partial pressure of carbon dioxide in arterial blood (κ = 0.95), partial pressure of oxygen in arterial blood/fraction of inspired oxygen ratio (κ = 0.69), length of ICU stay (κ = 0.91), and Glasgow comma scale (κ = 0.90) and no agreement for source of ICU admission (κ = -0.15). After adjustment in rules, the κ value for hospital admission source improved to 1.0. Automatic calculation demonstrated strong correlation with manual (r = 0.92), and mean (SD) difference was -2.3 (5.9). During validation phase, 100 subjects were enrolled at 5 days. The automatic tool retained excellent correlation with gold-standard calculation for SWIFT (r = 0.92), and the mean (SD) difference was -2.2 (5.5). CONCLUSION: The EMR-based automatic tool accurately calculates SWIFT score and can facilitate ICU discharge decisions without the need for manual data collection.

Treatment of sudden sensorineural hearing loss with systemic steroids and valacyclovir.

OBJECTIVE: To determine if the addition of an antiviral medication to systemic steroids improves recovery in the treatment of idiopathic sudden sensorineural hearing loss. STUDY DESIGN: Randomized, double-blind, placebo-controlled prospective multicenter clinical trial. SETTING: The study was administrated from a tertiary care center and clinical research institute; patients were enrolled by otolaryngologists in academic and private practice outpatient settings. PATIENTS: Inclusion criteria included 1) loss of at least 30 dB in 3 contiguous frequencies over <3 days in patients with previous audiometry, 2) marked loss of hearing in patients with prior subjectively normal hearing and no previous audiometry, with contralateral hearing taken as baseline, and 3) patients seen within 10 days of onset of hearing loss. Pretreatment evaluation included audiometry and complete blood cell count, complete blood chemistry, and fluorescent treponemal antibody absorption test. Auditory brainstem-evoked response or magnetic resonance imaging was recommended. INTERVENTION: Patients received prednisone (80 mg/d for 4 d, then tapered over 8 d) with placebo or prednisone with valacyclovir (1 g, 3 times a day for 10 days). MAIN OUTCOME MEASURE: 1) Audiometric assessment at presentation, Week 2, and Week 6; 2) Hearing Screening Inventory questionnaire twice weekly for 6 weeks; and 3) acute Short Form-12 questionnaire at presentation and Week 2. RESULTS: Of 105 subjects enrolled in the study, 84 subjects were evaluable. There were no significant differences between placebo and valacyclovir treatment groups in terms of hearing recovery or symptom recovery on the basis of the Hearing Screening Inventory or Short Form-12 questionnaires. No adverse events were related to the use of valacyclovir. CONCLUSION: Within the paradigm used in the current study, an antiviral medication did not provide more benefit than steroid alone in the treatment of idiopathic sudden sensorineural hearing loss.