The Safety of Pediatric Bedside Tracheostomy.

OBJECTIVE: Traditionally, pediatric tracheostomy has been viewed as a technically demanding procedure with a high complication rate, requiring the routine use of a formal operating room. Pediatric bedside tracheostomy in an intensive care unit (ICU) setting has not been widely reported, in contrast to the widespread adult bedside ICU tracheostomy. Transport of these critically ill, multiple life support systems dependent patients can be technically difficult, labor intensive, and potentially risky for these patients. Our study aimed to demonstrate the safety and efficacy of bedside tracheostomy in the pediatric ICU. MATERIALS AND METHODS: A retrospective analysis of all pediatric patients undergoing tracheostomy at a tertiary care center, between 1st of January 2013 and 31st of December 2019. RESULTS: During the study period, 117 pediatric patients underwent tracheostomy, 57 (48.7%) were performed bedside while 60 (51.3%) were performed in the operating room. Patients' ages ranged from 2 weeks to 17 years of age, with a median age of 16 months. No case of bedside tracheostomy necessitated a shift to the operating room. There was no difference in 30-day morbidity and mortality between the 2 groups. CONCLUSIONS: Our results suggest that pediatric open bedside tracheostomy in an ICU setting is a safe procedure, with similar complications and outcomes compared to tracheostomy performed in the operating room.

Application of Machine Learning Models to Biomedical and Information System Signals From Critically Ill Adults.

BACKGROUND: Machine learning (ML)-derived notifications for impending episodes of hemodynamic instability and respiratory failure events are interesting because they can alert physicians in time to intervene before these complications occur. RESEARCH QUESTION: Do ML alerts, telemedicine system (TS)-generated alerts, or biomedical monitors (BMs) have superior performance for predicting episodes of intubation or administration of vasopressors? STUDY DESIGN AND METHODS: An ML algorithm was trained to predict intubation and vasopressor initiation events among critically ill adults. Its performance was compared with BM alarms and TS alerts. RESULTS: ML notifications were substantially more accurate and precise, with 50-fold lower alarm burden than TS alerts for predicting vasopressor initiation and intubation events. ML notifications of internal validation cohorts demonstrated similar performance for independent academic medical center external validation and COVID-19 cohorts. Characteristics were also measured for a control group of recent patients that validated event detection methods and compared TS alert and BM alarm performance. The TS test characteristics were substantially better, with 10-fold less alarm burden than BM alarms. The accuracy of ML alerts (0.87-0.94) was in the range of other clinically actionable tests; the accuracy of TS (0.28-0.53) and BM (0.019-0.028) alerts were not. Overall test performance (F scores) for ML notifications were more than fivefold higher than for TS alerts, which were higher than those of BM alarms. INTERPRETATION: ML-derived notifications for clinically actioned hemodynamic instability and respiratory failure events represent an advance because the magnitude of the differences of accuracy, precision, misclassification rate, and pre-event lead time is large enough to allow more proactive care and has markedly lower frequency and interruption of bedside physician work flows.

Prediction of acute hypertensive episodes in critically ill patients.

Prevention and treatment of complications are the backbone of medical care, particularly in critical care settings. Early detection and prompt intervention can potentially prevent complications from occurring and improve outcomes. In this study, we use four longitudinal vital signs variables of intensive care unit patients, focusing on predicting acute hypertensive episodes (AHEs). These episodes represent elevations in blood pressure and may result in clinical damage or indicate a change in a patient's clinical situation, such as an elevation in intracranial pressure or kidney failure. Prediction of AHEs may allow clinicians to anticipate changes in the patient's condition and respond early on to prevent these from occurring. Temporal abstraction was employed to transform the multivariate temporal data into a uniform representation of symbolic time intervals, from which frequent time-intervals-related patterns (TIRPs) are mined and used as features for AHE prediction. A novel TIRP metric for classification, called coverage, is introduced that measures the coverage of a TIRP's instances in a time window. For comparison, several baseline models were applied on the raw time series data, including logistic regression and sequential deep learning models, are used. Our results show that using frequent TIRPs as features outperforms the baseline models, and the use of the coverage, metric outperforms other TIRP metrics. Two approaches to predicting AHEs in real-life application conditions are evaluated: using a sliding window to continuously predict whether a patient would experience an AHE within a specific prediction time period ahead, our models produced an AUC-ROC of 82%, but with low AUPRC. Alternatively, predicting whether an AHE would generally occur during the entire admission resulted in an AUC-ROC of 74%.

A 16-month longitudinal investigation of risk and protective factors for mental health outcomes throughout three national lockdowns and a mass vaccination campaign: Evidence from a weighted Israeli sample during COVID-19.

BACKGROUND: COVID-19 is an ongoing global crisis, with a multitude of factors that affect mental health worldwide. We explored potential predictors for the emergence and maintenance of depression, anxiety, and posttraumatic stress symptoms (PTSS) in the general population in Israel. METHODS: Across the span of 16 months, 2478 people completed a repeated self-report survey which inquired psychiatric symptoms and pandemic related stress factors (PRSF). We applied mixed-effects models to assess how each stressor contributes to depression, anxiety and PTSS at each time point, and longitudinally assessed participants who completed at least two consecutive surveys (n = 400). We weighted our sample to increase representativeness of the population. RESULTS: Fatigue was the strongest predictor for depression, anxiety and PTSS at all time points, and predicted deterioration overtime. Financial concerns associated with depression and anxiety at all time points, and with their deterioration overtime. Health related concerns were uniquely associated with anxiety and PTSS at all time points and their deterioration, but not with depression. Improvement in sense of protection overtime associated with decrease in depression and anxiety. Hesitancy towards vaccination was associated to higher financial concerns and lower sense of protection by the authorities. CONCLUSIONS: Our findings accentuate the multitude of risk factors for psychiatric morbidity during COVID-19, and the centrality of fatigue in determining mental health outcomes.

Bridging the gap between the emergency department and outpatient care: feasibility of a short-term psychiatric crisis intervention for children and adolescents.

Child and adolescent mental health systems are facing limited resources of available psychosocial interventions, often leading to long waiting lists for acceptance to treatment. We describe the feasibility of a short-term (8-10 sessions) psychological crisis intervention (CI) protocol for children and adolescents aged 8-17 years (n = 30, mean ± standard deviation 12.9 ± 2.4 years) who were referred to an outpatient mental health clinic due to suicidal ideation, aggression, severe anxiety, or extreme family conflict. The participants were assessed before and after the CI, and at a 3-6-months follow-up visit. The psychiatric assessments included clinical evaluation by a senior psychiatrist, and the completion of self-report questionnaires by both the participants and their parents. Following the establishment of the CI unit, the waiting lists for urgent cases were reduced from a median of 84 days in the two preceding years to 23 days in the following 3 years (H[2] = 18.5, p < 0.0001) for patients of the CI unit. A 1-year psychiatric follow-up after the end of the CI revealed that 72% did not require additional psychotherapy. The overall clinical evaluation measures (clinical evaluation, parents-report and child report) improved and had been preserved at the 3-6-months follow-up. Our results demonstrate the feasibility of a short-term CI protocol for expediting admission to treatment for urgent psychiatric cases.

Prevalence and clinical implication of thrombocytopenia and heparin-induced thrombocytopenia in patients who are critically ill with COVID-19.

As the COVID-19 pandemic continues to evolve, different clinical manifestations are better understood and studied. These include various haematologic disorders that have been shown to be associated with increased morbidity and mortality. We studied the prevalence of one unusual manifestation, heparin-induced thrombocytopenia (HIT) and its clinical implications in patients who are severely ill with COVID-19 in a single tertiary centre in Israel. The presence of thrombocytopenia, disseminated intravascular coagulation (DIC) and HIT, and their association with clinical course and outcomes were studied. One-hundred and seven patients with COVID-19 were included. Fifty-seven (53.2%) patients developed thrombocytopenia, which was associated with the worst outcomes (ventilation, DIC and increased mortality). Sixteen (28.0%) patients with thrombocytopenia were positive for HIT, all of which were supported by extracorporeal devices. HIT was independently associated with ventilation days, blood product transfusions, longer hospitalisation and mortality.Platelet abnormalities and HIT are common in patients who are critically ill with COVID-19 and are associated with the worst clinical outcomes. The mechanisms underlying HIT in COVID-19 are yet to be studied; HIT may contribute to the dysregulated immunologic response associated with COVID-19 critical illness and may play a significant part in the coagulopathy seen in these patients. As many patients with COVID-19 require aggressive thromboprophylaxis, further understanding of HIT and the implementation of appropriate protocols are important.

Real-World Immunogenicity and Reactogenicity of Two Doses of Pfizer-BioNTech COVID-19 Vaccination in Children Aged 5-11 Years.

There are limited data concerning the immunogenicity and reactogenicity of COVID-19 vaccines in children. A total of 110 children, 5-11 years old were vaccinated with two doses (with a 3-week interval between doses) of the Pfizer-BioNTech COVID-19 vaccine and were followed for 21, 90, and 180 days after vaccination for immunogenicity, adverse events, and breakthrough infections. Ninety days after the first vaccine dose, the GeoMean (CI 95%) of IgG ascended to 1291.0 BAU (929.6-1790.2) for uninfected children and 1670.0 BAU (1131.0-2466.0) for Infected children. One hundred and eighty days after receiving the first dose of the vaccine, the titers decreased to 535.5 BAU (288.4-993.6) for the uninfected children, while only a small decline was detected among infected children-1479.0 (878.2-2490.0). The neutralizing antibodies titer almost did not change over time in the uninfected children, and even elevated for the infected children. Of the 110 vaccinated children, 75.5% were infected, with only mild COVID-19 infection symptoms. Child vaccination was found to be safe, with mild, mostly local, and of short duration, reported AEs. No serious adverse events (SAEs) were reported after vaccination. The durability of two doses of vaccine in children is longer, thus a booster may not be needed as early as in adults.

Thrombocytopenia and Bloodstream Infection: Incidence and Implication on Length of Stay in the Pediatric Intensive Care Unit.

The incidence and prognosis of thrombocytopenia in critically ill patients with bloodstream infection (BSI) is not well delineated in the pediatric intensive care unit (PICU) setting. We assessed these variables in our PICU and sought to determine whether thrombocytopenia could serve as a prognostic marker for length of stay (LOS). The study was conducted at the medical PICU of a university hospital, on all critically ill pediatric patients consecutively admitted during a 3-year period. Patient surveillance and data collection have been used to identify the risk factors during the study period. The main outcomes were BSI incidence and implication on morbidity and LOS. Data from 2,349 PICU patients was analyzed. The overall incidence of BSI was 3.9% (93/2,349). Overall, 85 of 93 patients (91.4%) with BSI survived and 8 patients died (8.6% mortality rate). The overall incidence of thrombocytopenia among these 93 patients was 54.8% (51/93) and 100% (8/8) for the nonsurvivors. Out of the 85 survivors, 27 thrombocytopenic patients were hospitalized for >14 days versus 14 of nonthrombocytopenic patients ( p = 0.007). Thrombocytopenia was associated with borderline significance with an increased LOS (adjusted odds ratio = 3.00, 95% confidence interval: 0.93-9.71, p = 0.066). Thrombocytopenia is common in critically ill pediatric patients with BSI and constitutes a simple and readily available risk marker for PICU LOS.

Sleep Difficulties Among COVID-19 Frontline Healthcare Workers.

Objective: To identify COVID-19 work-related stressors and experiences associated with sleep difficulties in HCW, and to assess the role of depression and traumatic stress in this association. Methods: A cross-sectional study of HCW using self-report questionnaires, during the first peak of the pandemic in Israel (April 2020), conducted in a large tertiary medical center in Israel. Study population included 189 physicians and nurses working in designated COVID-19 wards and a comparison group of 643 HCW. Mean age of the total sample was 41.7 ± 11.1, 67% were female, 42.1% physicians, with overall mean number of years of professional experience 14.2 ± 20. The exposure was working in COVID-19 wards and related specific stressors and negative experiences. Primary outcome measurement was the Insomnia Severity Index (ISI). Secondary outcomes included the Primary Care-Post Traumatic Stress Disorder Screen (PC-PTSD-5); the Patient Health Questionnaire-9 (PHQ-9) for depression; the anxiety module of the Patient-Reported Outcomes Measurement Information System (PROMIS); Pandemic-Related Stress Factors (PRSF) and witnessing patient suffering and death. Results: Compared with non-COVID-19 HCW, COVID-19 HCW were more likely to be male (41.3% vs. 30.7%) and younger (36.91 ± 8.81 vs. 43.14 ± 11.35 years). COVID-19 HCW reported higher prevalence of sleep difficulties: 63% vs. 50.7% in the non-COVID group (OR 1.62, 95% CI 1.15-2.29, p = 0.006), mostly difficulty maintaining sleep: 26.5% vs. 18.5% (OR 1.65, 95% CI 1.11-2.44, p = 0.012). Negative COVID-19 work-related experiences, specifically witnessing patient physical suffering and death, partially explained the association. Although past psychological problems and current depression and PTSD were associated with difficulty maintaining sleep, the main association remained robust also after controlling for those conditions in the full model. Conclusion and Relevance: COVID-19 frontline HCW were more likely to report sleep difficulties, mainly difficulty maintaining sleep, as compared with non-COVID-19 HCW working at the same hospital. Negative patient-care related experiences likely mediated the increased probability for those difficulties. Future research is needed to elucidate the long-term trajectories of sleep difficulties among HCW during large scale outbreaks, and to identify risk factors for their persistence.

Rapid Antigen Tests For Safe School Opening in the COVID-19 Pandemic Era.

BACKGROUND: Since the beginning of the Sever Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic, school closure as a mitigating measure was at the center of a public and professional debate. While the negative effects of school closure cannot be ignored, accumulating data suggested that it is necessary for reducing community transmission. Our study presents an optional strategy for safe school opening during a pandemic, implemented in selected Israeli high schools by a special task force constructed by the Sheba Medical Center (SMC). METHODS: The study took place between November 2020 and April 2021. Three schools from different areas of Israel were enrolled. The participants were asked to undergo bi-weekly SARS-CoV-2 rapid diagnostic antigen tests (Ag-RDT). Those who tested positive were requested to self-isolate, whereas their school contacts were tested daily by Ag-RDT. Participants with a previously documented SARS-CoV-2 infection or who were found to be SARS-CoV-2 seropositive upon enrollment were exempted from screening. RESULTS: Of a total of 361 participants who enrolled in the study, 12.3% were found to be seropositive. Fourteen SARS-CoV-2 cases were detected (3.5%), 12 of them in one single school located in an endemic area for SARS-CoV-2. The 14 cases resulted in 84 days of COVID-19-related absence from school, comparing with 1775 potential days of COVID-19-related absence under a strategy implementing self-isolation instead of testing. CONCLUSIONS: Safe continuation of academic routine during the pandemic is possible when using rapid Ag-RDT as a screening tool, while allowing swab collection by trained students and teachers.

A Practical Clinical Score Predicting Respiratory Failure in COVID-19 Patients.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic resulted in repeated surges of patients, sometimes challenging triage protocols and appropriate control of patient flow. Available models, such as the National Early Warning Score (NEWS), have shown significant limitations. Still, they are used by some centers to triage COVID-19 patients due to the lack of better tools. OBJECTIVES: To establish a practical and automated triage tool based on readily available clinical data to rapidly determine a distinction between patients who are prone to respiratory failure. METHODS: The electronic medical records of COVID-19 patients admitted to the Sheba Medical Center March-April 2020 were analyzed. Population data extraction and exploration were conducted using a MDClone (Israel) big data platform. Patients were divided into three groups: non-intubated, intubated within 24 hours, and intubated after 24 hours. The NEWS and our model where applied to all three groups and a best fit prediction model for the prediction of respiratory failure was established. RESULTS: The cohort included 385 patients, 42 of whom were eventually intubated, 15 within 24 hours or less. The NEWS score was significantly lower for the non-intubated patients compared to the two other groups. Our improved model, which included NEWS elements combined with other clinical data elements, showed significantly better performance. The model's receiver operating characteristic curve had area under curve (AUC) of 0.92 with of sensitivity 0.81, specificity 0.89, and negative predictive value (NPV) 98.4% compared to AUC of 0.63 with NEWS. As patients deteriorate and require further support with supplemental O2, the need for re-triage emerges. Our model was able to identify those patients on supplementary O2 prone to respiratory failure with an AUC of 0.86 sensitivity 0.95, and specificity 0.7 NPV 98.9%, whereas NEWS had an AUC of 0.76. For both groups positive predictive value was approximately 35. CONCLUSIONS: Our model, based on readily available and simple clinical parameters, showed an excellent ability to predict negative outcome among patients with COVID-19 and therefore might be used as an initial screening tool for patient triage in emergency departments and other COVID-19 specific areas of the hospital.

The Predictive Value of Serum ACE2 and TMPRSS2 Concentrations in Patients with COVID-19-A Prospective Pilot Study.

One of the major challenges for healthcare systems during the Coronavirus-2019 (COVID-19) pandemic was the inability to successfully predict which patients would require mechanical ventilation (MV). Angiotensin-Converting Enzyme 2 (ACE2) and TransMembrane Protease Serine S1 member 2 (TMPRSS2) are enzymes that play crucial roles in SARS-CoV-2 entry into human host cells. However, their predictive value as biomarkers for risk stratification for respiratory deterioration requiring MV has not yet been evaluated. We aimed to evaluate whether serum ACE2 and TMPRSS2 levels are associated with adverse outcomes in COVID-19, and specifically the need for MV. COVID-19 patients admitted to an Israeli tertiary medical center between March--November 2020, were included. Serum samples were obtained shortly after admission (day 0) and again following one week of admission (day 7). ACE2 and TMPRSS2 concentrations were measured with ELISA. Of 72 patients included, 30 (41.6%) ultimately required MV. Serum ACE2 concentrations >7.8 ng/mL at admission were significantly associated with the need for MV (p = 0.036), inotropic support, and renal replacement therapy. In multivariate logistic regression analysis, elevated ACE2 at admission was associated with the need for MV (OR = 7.49; p = 0.014). To conclude, elevated serum ACE2 concentration early in COVID-19 illness correlates with respiratory failure necessitating mechanical ventilation. We suggest that measuring serum ACE2 at admission may be useful for predicting the risk of severe disease.

A multidisciplinary nephrogenetic referral clinic for children and adults-diagnostic achievements and insights.

BACKGROUND: Genetic kidney diseases contribute a significant portion of kidney diseases in children and young adults. Nephrogenetics is a rapidly evolving subspecialty; however, in the clinical setting, increased use of genetic testing poses implementation challenges. Consequently, we established a national nephrogenetics clinic to apply a multidisciplinary model. METHODS: Patients were referred from different pediatric or adult nephrology units across the country if their primary nephrologist suspected an undiagnosed genetic kidney disease. We determined the diagnostic rate and observed the effect of diagnosis on medical care. We also discuss the requirements of a nephrogenetics clinic in terms of logistics, recommended indications for referral, and building a multidisciplinary team. RESULTS: Over 24 months, genetic evaluation was completed for a total of 74 unrelated probands, with an age range of 10 days to 72 years. The most common phenotypes included congenital anomalies of the kidneys and urinary tract, nephrotic syndrome or unexplained proteinuria, nephrocalcinosis/nephrolithiasis, tubulopathies, and unexplained kidney failure. Over 80% of patients were referred due to clinical suspicion of an undetermined underlying genetic diagnosis. A molecular diagnosis was reached in 42/74 probands, yielding a diagnostic rate of 57%. Of these, over 71% of diagnoses were made via next generation sequencing (gene panel or exome sequencing). CONCLUSIONS: We identified a substantial fraction of genetic kidney etiologies among previously undiagnosed individuals which influenced subsequent clinical management. Our results support that nephrogenetics, a rapidly evolving field, may benefit from well-defined multidisciplinary co-management administered by a designated team of nephrologist, geneticist, and bioinformatician. A higher resolution version of the Graphical abstract is available as Supplementary information.

Pediatric Burns Unique Characteristics Among Ultra-Orthodox Jewish Minority-Retrospective Study.

Burn injuries are a significant cause of morbidity among children. Ultra-Orthodox Jewish children are at higher risk for burn injuries. The goal of this study was to examine the clinical characteristics of moderate to severe burns in this population in comparison to the general population in Israel. This retrospective cohort study included all pediatric patients 0 to 18 years of age admitted with burn injuries from January 1, 2015 through December 31, 2018. Data were collected regarding demography, etiology, and clinical characteristics. Of 778 burns injuries presented to our tertiary center, 385 (49.5%) were hospitalized. Of those 212 (55%) were non-ultra-Orthodox Jews, 135 (35%) were ultra-Orthodox Jews, and 38 (10%) were non-Jewish patients. The total body surface area percentage (TBSA%) of scald-type burns was larger in ultra-Orthodox compared to non-ultra-Orthodox children (median TBSA% of 7% vs 5%, respectively, P < .05). Among the ultra-Orthodox group, the median TBSA% during weekdays was 6%, and for weekends, the TBSA% was 7.5% (P < .05). Females demonstrated the greatest diversity between subgroups. On weekends, ultra-Orthodox female's median TBSA% was 10%, and non-ultra-Orthodox female's TBSA% was 4.5% (P < .05). Ultra-Orthodox children and especially girls had a significantly higher median TBSA% than non-ultra-Orthodox children for burns occurring during weekends. This may be the result of the unique cultural norms of the ultra-Orthodox Jewish community, in particular, their lifestyle and observation of the Sabbath. These findings provide a focus for better intervention and prevention of pediatric burns among this unique population.

Left alone outside: A prospective observational cohort study on mental health outcomes among relatives of COVID-19 hospitalized patients.

Hospitalization due to COVID-19 bears many psychological challenges. While focusing on infected patients, their relatives are being largely neglected. Here, we investigated the mental health implications of hospitalization among relatives, over a one-month course. A single center study was conducted to assess relatives of COVID-19 patients during the first month from their admission to the hospital, and elucidate risk and protective factors for mental health deterioration. Ninety-one relatives of the first patients to be hospitalized in Israel were contacted by phone and screened for anxiety, depression, and posttraumatic stress symptoms (PTSS) at three time points (25-72 hours, 7-18 days, and one month). We found that anxiety and depression decreased significantly during the first month from their admission. Risk factors for deteriorated mental health at one month included feelings of mental exhaustion, financial concerns, and social disconnection. Being an ultra-orthodox was a protective factor for anxiety and depression but not for PTSS. Our findings emphasize the importance of addressing the mental health status of close relatives and adjust support for the unique setting of COVID-19.

Clinical impact of exome sequencing in the setting of a general pediatric ward for hospitalized children with suspected genetic disorders.

Background: Genetic conditions contribute a significant portion of disease etiologies in children admitted to general pediatric wards worldwide. While exome sequencing (ES) has improved clinical diagnosis and management over a variety of pediatric subspecialties, it is not yet routinely used by general pediatric hospitalists. We aim to investigate the impact of exome sequencing in sequencing-naive children suspected of having monogenic disorders while receiving inpatient care. Methods: We prospectively employed exome sequencing in children admitted to the general pediatric inpatient service at a large tertiary medical center in Israel. Genetic analysis was triggered by general and/or subspecialist pediatricians who were part of the primary inpatient team. We determined the diagnostic yield among children who were referred for exome sequencing and observed the effects of genetic diagnosis on medical care. Results: A total of fifty probands were evaluated and exome sequenced during the study period. The most common phenotypes included were neurodevelopmental (56%), gastrointestinal (34%), and congenital cardiac anomalies (24%). A molecular diagnosis was reached in 38% of patients. Among seven patients (37%), the molecular genetic diagnosis influenced subsequent clinical management already during admission or shortly following discharge. Conclusion: We identified a significant fraction of genetic etiologies among undiagnosed children admitted to the general pediatric ward. Our results support that early application of exome sequencing may be maximized by pediatric hospitalists' high index of suspicion for an underlying genetic etiology, prompting an in-house genetic evaluation. This framework should include a multidisciplinary co-management approach of the primary care team working alongside with subspecialties, geneticists and bioinformaticians.

The adipokine FABP4 is a key regulator of neonatal glucose homeostasis.

During pregnancy, fetal glucose production is suppressed, with rapid activation immediately postpartum. Fatty acid-binding protein 4 (FABP4) was recently demonstrated as a regulator of hepatic glucose production and systemic metabolism in animal models. Here, we studied the role of FABP4 in regulating neonatal glucose hemostasis. Serum samples were collected from pregnant women with normoglycemia or gestational diabetes at term, from the umbilical circulation, and from the newborns within 6 hours of life. The level of FABP4 was higher in the fetal versus maternal circulation, with a further rise in neonates after birth of approximately 3-fold. Neonatal FABP4 inversely correlated with blood glucose, with an approximately 10-fold increase of FABP4 in hypoglycemic neonates. When studied in mice, blood glucose of 12-hour-old WT, Fabp4-/+, and Fabp4-/- littermate mice was 59 ± 13 mg/dL, 50 ± 11 mg/dL, and 43 ± 11 mg/dL, respectively. Similar to our observations in humans, FABP4 levels in WT mouse neonates were approximately 8-fold higher compared with those in adult mice. RNA sequencing of the neonatal liver suggested altered expression of multiple glucagon-regulated pathways in Fabp4-/- mice. Indeed, Fabp4-/- liver glycogen was inappropriately intact, despite a marked hypoglycemia, with rapid restoration of normoglycemia upon injection of recombinant FABP4. Our data suggest an important biological role for the adipokine FABP4 in the orchestrated regulation of postnatal glucose metabolism.

Validation of an Automatic Tagging System for Identifying Respiratory and Hemodynamic Deterioration Events in the Intensive Care Unit.

OBJECTIVE: Predictive models for critical events in the intensive care unit (ICU) might help providers anticipate patient deterioration. At the heart of predictive model development lies the ability to accurately label significant events, thereby facilitating the use of machine learning and similar strategies. We conducted this study to establish the validity of an automated system for tagging respiratory and hemodynamic deterioration by comparing automatic tags to tagging by expert reviewers. METHODS: This retrospective cohort study included 72,650 unique patient stays collected from Electronic Medical Records of the University of Massachusetts' eICU. An enriched subgroup of stays was manually tagged by expert reviewers. The tags generated by the reviewers were compared to those generated by an automated system. RESULTS: The automated system was able to rapidly and efficiently tag the complete database utilizing available clinical data. The overall agreement rate between the automated system and the clinicians for respiratory and hemodynamic deterioration tags was 89.4% and 87.1%, respectively. The automatic system did not add substantial variability beyond that seen among the reviewers. CONCLUSIONS: We demonstrated that a simple rule-based tagging system could provide a rapid and accurate tool for mass tagging of a compound database. These types of tagging systems may replace human reviewers and save considerable resources when trying to create a validated, labeled database used to train artificial intelligence algorithms. The ability to harness the power of artificial intelligence depends on efficient clinical validation of targeted conditions; hence, these systems and the methodology used to validate them are crucial.

Inpatient Telemedicine and New Models of Care during COVID-19: Hospital Design Strategies to Enhance Patient and Staff Safety.

The challenges of the COVID-19 pandemic have led to the development of new hospital design strategies and models of care. To enhance staff safety while preserving patient safety and quality of care, hospitals have created a new model of remote inpatient care using telemedicine technologies. The design of the COVID-19 units divided the space into contaminated and clean zones and integrated a control room with audio-visual technologies to remotely supervise, communicate, and support the care being provided in the contaminated zone. The research is based on semi-structured interviews and observations of care processes that implemented a new model of inpatient telemedicine at Sheba Medical Center in Israel in different COVID-19 units, including an intensive care unit (ICU) and internal medicine unit (IMU). The study examines the impact of the diverse design layouts of the different units associated with the implementation of digital technologies for remote care on patient and staff safety. The results demonstrate the challenges and opportunities of integrating inpatient telemedicine for critical and intermediate care to enhance patient and staff safety. We contribute insights into the design of hospital units to support new models of remote care and suggest implications for Evidence-based Design (EBD), which will guide much needed future research.

Trajectories and risk factors for anxiety and depression in children and adolescents with cancer: A 1-year follow-up.

BACKGROUND: There is limited data on the longitudinal trajectories of psychiatric disorders in children with cancer and risk factors for their persistence. The current study aimed to longitudinally assess the trajectories and risk factors for anxiety and depressive symptoms and disorders in children and adolescents with cancer. METHODS: Children and adolescents with cancer and their parents completed the Patient-Reported Outcomes Measurement Information System (PROMIS) Depression and Anxiety Module and were interviewed by the semi-structured Affective and Anxiety Modules of the Kiddie Schedule for Affective Disorders and Schizophrenia for School-Age Children (K-SADS), at 4 time points, 1, 4, 7, and 12 months following the diagnosis of cancer. RESULTS: Of the 99 patients enrolled, 48% met criteria for anxiety and/or depressive disorders at least once during the follow-up period. There was a significant decrease in PROMIS pediatric and parent anxiety and depression scores (all p's < 0.01) and in the rate of depressive disorders over time (p = 0.02), while rates of anxiety disorders remained stable. Anxiety PROMIS pediatric and parent scores at baseline, having brain tumors and being in the acute treatment phase significantly predicted the presences of anxiety disorders at endpoint. CONCLUSIONS: Our results highlight the importance of screening for anxiety and disorders in children with cancer, especially among those with brain tumors and at the acute phase of treatment.