Application of machine learning models to biomedical and information system signals from critically ill adults

BACKGROUND

Machine learning derived notifications for impending episodes of hemodynamic instability (HD) and respiratory failure (RF) events are interesting because they can alert clinicians in time to intervene before these complications occur.

STUDY QUESTION

Do machine learning alerts, telemedicine system generated alerts or biomedical monitors have superior performance for predicting episodes of intubation or administration of vasopressors?

STUDY DESIGN AND METHODS

A machine learning (ML) algorithm was trained to predict intubation and vasopressor initiation events among critically ill adults. Its performance was compared to biomedical monitor alarms and telemedicine system alerts.

RESULTS

Machine learning (ML) notifications were substantially more accurate, precise, with 50-fold lower alarm burden than telemedicine system (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) biomedical monitor 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 5-fold higher than for TS alerts which were higher than those of BM alarms.

INTERPRETATION

Machine learning derived notifications for clinically actioned HD and RF events represent an advance because the magnitude of the differences of accuracy, precision, misclassification rate, and pre-event lead time are large enough to allow more proactive care and have markedly lower frequency and interruption of bedside clinician work flows.

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.

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.

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.

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.

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.

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.

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.

Pediatric burns unique characteristics among Ultra-Orthodox Jewish minority - retrospective study

BACKGROUND AND OBJECTIVES

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.

METHODS

This retrospective cohort study included all pediatric patients 0-18 years of age admitted with burn injuries from January 1, 2015 through December 31, 2018. Data was collected regarding demography, etiology and clinical characteristics.

RESULTS

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<0.05)). Among the Ultra-Orthodox group, the median TBSA percentage during weekdays was 6%, and for weekends the TBSA% was 7.5% (p<0.05). 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<0.05).

CONCLUSIONS

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 focus for better intervention and prevention of pediatric burns among this unique population.

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.

Association among income loss, financial strain and depressive symptoms during COVID-19: Evidence from two longitudinal studies

BACKGROUND

COVID-19 pandemic has major ramifications for global health and economy, with growing concerns about economic recession and implications for mental health. Here we investigated the associations between pandemic-related income loss with financial strain and mental health trajectories over a 1-month course, in two independent cohorts.

METHODS

Two independent studies were conducted in the U.S and in Israel at the beginning of the outbreak (March-April 2020, T1; study I: N = 2904, study II: N = 1267) and at a 1-month follow-up (T2; study I: N = 1318, study II: N = 241). Mixed-effects models were applied to assess associations among COVID-19-related income loss, financial strain, and pandemic-related worries about health, with anxiety and depression, controlling for multiple covariates including pre-COVID-19 income.

RESULTS

In both studies, income loss and financial strain were associated with greater depressive symptoms at T1, above and beyond T1 anxiety, worries about health, and pre-COVID-19 income. Worsening of income loss was associated with exacerbation of depression at T2 in both studies. Worsening of subjective financial strain was associated with exacerbation of depression at T2 in one study (US).

CONCLUSIONS

Income loss and financial strain were uniquely associated with depressive symptoms and their exacerbation over time, above and beyond pandemic-related anxiety. In times when a myriad of stressors are affecting mental health worldwide, our findings reveal specific links between the economic impact of COVID-19 and psychiatric outcomes.

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

Objectives

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.

Telemedicine Implementation in COVID-19 ICU: Balancing Physical and Virtual Forms of Visibility

Objective:

This case study examines the implementation of inpatient telemedicine in COVID-19 intensive care units (ICUs) and explores the impact of shifting forms of visibility on the management of the unit, staff collaboration, and patient care.

Background:

The COVID-19 crisis drove healthcare institutions to rapidly develop new models of care based on integrating digital technologies for remote care with transformations in the hospital-built environment. The Sheba Medical Center in Israel created COVID-19 ICUs in an underground structure with an open-ward layout and telemedicine control rooms to remotely supervise, communicate, and support the operations in the contaminated zones. One unit had a physical visual connection between the control room and the contaminated zone through a window, while the other had only a virtual connection with digital technologies.

Methods:

The findings are based on semistructured interviews with Sheba medical staff, telemedicine companies, and the architectural design team and observations at the COVID-19 units during March–August 2020.

Results:

The case study illustrates the implications of virtual and physical visibility on the management of the unit, staff collaboration, and patient care. It demonstrates the correlations between patterns of visibility and the users’ sense of control, orientation in space, teamwork, safety, quality of care, and well-being.

Conclusions:

The case study demonstrates the limitations of current telemedicine technologies that were not designed for inpatient care to account for the spatial perception of the unit and the dynamic use of the space. It presents the potential of a hybrid model that balances virtual and physical forms of visibility and suggests directions for future research and development of inpatient telemedicine.

The association between witnessing patient death and mental health outcomes in frontline COVID-19 healthcare workers

BACKGROUND

Healthcare workers (HCW) treating coronavirus disease 2019 (COVID-19) patients face high levels of psychological stress. We aimed to compare mental health outcomes, risk and protective factors for posttraumatic stress symptoms (PTSS), probable depression, and anxiety between HCW working in COVID-19 and non-COVID-19 wards.

METHODS

A self-report survey, administered in a large tertiary hospital in Israel during the peak of the COVID-19 outbreak was completed by 828 HCW (42.2% physicians, 57.8% nurses. Patient-Reported Outcomes Measurement Information System; the Patient Health Questionnaire-9; the Primary Care-Post Traumatic Stress Disorder Screen for DSM-5 (PC-PTSD-5) were used for assessing anxiety, depression, and PTSS, respectively. Pandemic-related stress factors, negative experiences, and potential protective factors were also assessed.

RESULTS

Median PC-PTSD scores differed significantly between study teams (χ² [5] = 17.24; p = .004). Prevalence of probable depression and anxiety were similar in both groups. Risk factors for mental health outcomes included mental exhaustion, anxiety about being infected and infecting family. Overall, higher proportion of the COVID-19 team witnessed patient deaths as compared to the non-COVID-19 team (50.2% vs. 24.7%). Witnessing patient death at the COVID-19 wards was associated with a four-fold increased likelihood of PTSS (odds ratio [OR] = 3.97; 95% confidence interval [CI], 1.58-9.99; p = .0007), compared with the non-COVID-19 wards (OR 0.91; 95% CI, 0.51-1.61; p = .43).

CONCLUSIONS

Witnessing patient death appears to be a risk factor for PTSS unique to HCW directly engaged in treating patients with COVID-19. Our findings suggest that helping HCW cope with COVID-19 related deaths might reduce their risk of posttraumatic stress.

Trajectories of post-traumatic stress symptoms, anxiety, and depression in hospitalized COVID-19 patients: A one-month follow-up

OBJECTIVES

Little is known about the mental health outcomes of hospitalized COVID-19 patients. The aims of the study were: (1) to examine the trajectories of anxiety, depression, and pandemic-related stress factors (PRSF) of COVID-19 hospitalized patients one-month following hospitalization; (2) to assess the presence of post-traumatic stress symptoms (PTSS) a month after hospitalization; (3) to identify baseline risk and protective factors that would predict PTSS one month after hospitalization.

METHODS

We contacted hospitalized COVID-19 patients (n = 64) by phone, at three time-points: during the first days after admission to the hospital (T1); after ~two weeks from the beginning of hospitalization (T2), and one month after hospitalization (T3). At all time-points we assessed the levels of anxiety and depression symptoms, as well as PRSF. At T3, PTSS were assessed.

RESULTS

The levels of depressive and anxiety symptoms decreased one-month following hospitalization. Moreover, higher levels of anxiety (standardized β = 1.15, 95% CI = 0.81-1.49, p < 0.001) and depression (β = 0.97, 95% CI = 0.63-1.31 p < 0.001) symptoms during the first week of hospitalization, feeling socially disconnected (β = 0.59, 95% CI = 0.37-0.81 p < 0.001) and experiencing a longer hospitalization period (β = 0.25, 95% CI = 0.03-0.47 p = 0.026) predicted higher PTSS scores a month post-hospitalization.

CONCLUSIONS

We identified early hospitalization risk factors for the development of PTSS one month after hospitalization that should be targeted to reduce the risk for PTSS.

Anxiety and Depression Symptoms in COVID-19 Isolated Patients and in Their Relatives

Background: While focusing on the management and care of COVID-19 patients, the mental health of these patients and their relatives is being overlooked. The aim of the current study was to measure anxiety and depression, and to assess their association with socio-demographic and pandemic-related stress factors in COVID-19 patients and their relatives during the initial stage of hospitalization. Methods: We assessed isolated hospitalized patients (N = 90) and their relatives (adults and children, N = 125) by phone, 25-72 h following patients' admission. The quantitative measures included the Anxiety and Depression modules of the Patient-Reported Outcomes Measurement Information System (PROMIS) and pandemic-related stress factors. Qualitative measures included questions exploring worries, sadness, and coping modes. Results: Both patients and relatives suffer from high levels of anxiety and related pandemic worries, with lower levels of depressive symptoms. Compared to adult relatives, child relatives reported significantly lower anxiety. The multivariable logistic regression analysis revealed an increased risk for anxiety among females and a decreased risk among ultra-orthodox participants. While increased anxiety among patients was associated with feelings of isolation, increased anxiety among relatives was associated with a feeling of not being protected by the hospital. Conclusions: Patients and relatives experience similar high anxiety levels which are more robust in women and lower in ultra-orthodox participants. Our findings indicate that anxiety symptoms of both patients and adult relatives should be addressed.

Anxiety, pandemic-related stress and resilience among physicians during the COVID-19 pandemic

BACKGROUND

Physicians play a crucial frontline role in the COVID-19 pandemic, which may involve high levels of anxiety. We aimed to investigate the association between pandemic-related stress factors (PRSF) and anxiety and to evaluate the potential effect of resilience on anxiety among physicians.

METHODS

A self-report digital survey was completed by 1106 Israeli physicians (564 males and 542 females) during the COVID-19 outbreak. Anxiety was measured by the 8-item version of the Patient-Reported Outcomes Measurement Information System. Resilience was evaluated by the 10-item Connor-Davidson Resilience Scale. Stress was assessed using a PRSF inventory.

RESULTS

Physicians reported high levels of anxiety with a mean score of 59.20 ± 7.95. We found an inverse association between resilience and anxiety. Four salient PRSF (mental exhaustion, anxiety about being infected, anxiety infecting family members, and sleep difficulties) positively associated with anxiety scores.

CONCLUSIONS

Our study identified specific PRSF including workload burden and fear of infection that are associated with increased anxiety and resilience that is associated with reduced anxiety among physicians.

Whole exome sequencing in childhood-onset lupus frequently detects single gene etiologies

BACKGROUND

Systemic lupus erythematosus (SLE) comprise a diverse range of clinical manifestations. To date, more than 30 single gene causes of lupus/lupus like syndromes in humans have been identified. In the clinical setting, identifying the underlying molecular diagnosis is challenging due to phenotypic and genetic heterogeneity.

METHODS

We employed whole exome sequencing (WES) in patients presenting with childhood-onset lupus with severe and/or atypical presentations to identify cases that are explained by a single-gene (monogenic) cause.

RESULTS

From January 2015 to June 2018 15 new cases of childhood-onset SLE were diagnosed in Edmond and Lily Safra Children's Hospital. By WES we identified causative mutations in four subjects in five different genes: C1QC, SLC7A7, MAN2B1, PTEN and STAT1. No molecular diagnoses were established on clinical grounds prior to genetic testing.

CONCLUSIONS

We identified a significant fraction of monogenic SLE etiologies using WES and confirm the genetic locus heterogeneity in childhood-onset lupus. These results highlight the importance of establishing a genetic diagnosis for children with severe or atypical lupus by providing accurate and early etiology-based diagnoses and improving subsequent clinical management.

Elevated IgM levels as a marker for a unique phenotype in patients with Ataxia telangiectasia

BACKGROUND

Ataxia telangiectasia (AT) is a rare, multi-systemic, genetic disorder. Mutations in the ATM gene cause dysfunction in cell-cycle, apoptosis and V (D) J recombination leading to neurodegeneration, cellular, humoral immunodeficiencies and predisposition to malignancies. Previous studies have suggested that a sub-group of AT patients with elevated IgM levels have a distinct and more severe phenotype. In the current study we aimed to better characterize this group of patients.

METHODS

We performed a retrospective review of 46 patient records, followed from January 1986 to January 2015 at the Israeli National AT Center. Demographic, clinical, radiological, laboratory data was reviewed and compared between AT patients with elevated IgM levels (EIgM) and patients with normal IgM levels (NIgM).

RESULTS

15/46(32.6%) patients had significantly elevated IgM levels. This group had a unique phenotype characterized mainly by increased risk of infection and early mortality. Colonization of lower respiratory tract with Mycobacterium gordonae and Pseudomonas aeruginosa as well as viral skin infections were more frequent in EIgM patients. Patients with NIgM had a significantly longer survival as compared to patients with EIgM but had an increased incidence of fatty liver or cirrhosis. T-cell recombination excision circles and kappa-deleting element recombination circle levels were significantly lower in the EIgM group, suggesting an abnormal class switching in this group.

CONCLUSIONS

EIgM in AT patients are indicative of a more severe phenotype that probably results from a specific immune dysfunction. EIgM in AT should be considered a unique AT phenotype that may require different management.

Cardiac failure in very long chain acyl-CoA dehydrogenase deficiency requiring extracorporeal membrane oxygenation (ECMO) treatment: A case report and review of the literature

Fatty acid oxidation (FAO) defects often present with multi-system involvement, including several life-threatening cardiac manifestations, such as cardiomyopathy, pericardial effusion and arrhythmias. We report herein a fatal case of cardiac dysfunction and rapid-onset tamponade following an acute illness in a neonate with molecularly proven very long chain acyl-CoA dehydrogenase (VLCAD) deficiency (harboring the known del799_802 mutation), requiring 15 days of extracorporeal membrane oxygenation (ECMO) treatment. As data regarding the use of ECMO in FAO defects in general, and VLCAD in particular, are scarce, we review the literature and discuss insights from in vitro models and several successful reported cases.

Thymic and bone marrow output in individuals with 22q11.2 deletion syndrome

BACKGROUND

The 22q11.2 deletion syndrome (22q11.2DS) is a congenital multisystem anomaly characterized by typical facial features, palatal anomalies, congenital heart defects, hypocalcemia, immunodeficiency, and cognitive and neuropsychiatric symptoms. The aim of our study was to investigate T- and B-lymphocyte characteristics associated with 22q11.2DS.

METHODS

Seventy-five individuals with 22q11.2DS were tested for T and B lymphocytes by examination of T-cell receptor rearrangement excision circles (TRECs) and B-cell κ-deleting recombination excision circles (KRECs), respectively.

RESULTS

The 22q11.2DS individuals displayed low levels of TRECs, while exhibiting normal levels of KRECs. There was a significant positive correlation between TREC and KREC in the 22q11.2DS group, but not in controls. Both TREC and KREC levels showed a significant decrease with age and only TREC was low in 22q11.2DS individuals with recurrent infections. No difference in TREC levels was found between 22q11.2DS individuals who underwent heart surgery (with or without thymectomy) and those who did not.

CONCLUSION

T-cell immunodeficiency in 22q11.2DS includes low TREC levels, which may contribute to recurrent infections in individuals with this syndrome. A correlation between T- and B-cell abnormalities in 22q11.2DS was identified. The B-cell abnormalities could account for part of the immunological deficiency seen in 22q11.2DS.

Glutaric Aciduria type I and acute renal failure - Coincidence or causality?

Glutaric Aciduria type I (GA-I) is a rare organic acidemia, caused by mutations in the GCDH gene, and characterized by encephalopathic crises with neurological sequelae. We report herein a patient with GA-I who presented with severe acute renal failure requiring dialysis, following an acute diarrheal illness. Histopathological evaluation demonstrated acute tubular necrosis, and molecular diagnosis revealed the patient to be homozygous for a previously unreported mutation, p.E64D. As renal impairment is not part of the clinical spectrum typical to GA-I, possible associations of renal failure and the underlying inborn error of metabolism are discussed, including recent advancements made in the understanding of the renal transport of glutaric acid and its derivatives during metabolic disturbance in GA-I.

Impaired intrinsic immunity to HSV-1 in human iPSC-derived TLR3-deficient CNS cells

In the course of primary infection with herpes simplex virus 1 (HSV-1), children with inborn errors of toll-like receptor 3 (TLR3) immunity are prone to HSV-1 encephalitis (HSE). We tested the hypothesis that the pathogenesis of HSE involves non-haematopoietic CNS-resident cells. We derived induced pluripotent stem cells (iPSCs) from the dermal fibroblasts of TLR3- and UNC-93B-deficient patients and from controls. These iPSCs were differentiated into highly purified populations of neural stem cells (NSCs), neurons, astrocytes and oligodendrocytes. The induction of interferon-β (IFN-β) and/or IFN-λ1 in response to stimulation by the dsRNA analogue polyinosinic:polycytidylic acid (poly(I:C)) was dependent on TLR3 and UNC-93B in all cells tested. However, the induction of IFN-β and IFN-λ1 in response to HSV-1 infection was impaired selectively in UNC-93B-deficient neurons and oligodendrocytes. These cells were also much more susceptible to HSV-1 infection than control cells, whereas UNC-93B-deficient NSCs and astrocytes were not. TLR3-deficient neurons were also found to be susceptible to HSV-1 infection. The rescue of UNC-93B- and TLR3-deficient cells with the corresponding wild-type allele showed that the genetic defect was the cause of the poly(I:C) and HSV-1 phenotypes. The viral infection phenotype was rescued further by treatment with exogenous IFN-α or IFN-β ( IFN-α/β) but not IFN-λ1. Thus, impaired TLR3- and UNC-93B-dependent IFN-α/β intrinsic immunity to HSV-1 in the CNS, in neurons and oligodendrocytes in particular, may underlie the pathogenesis of HSE in children with TLR3-pathway deficiencies.

A novel primary human immunodeficiency due to deficiency in the WASP-interacting protein WIP

A homozygous mutation that gave rise to a stop codon in the WIPF1 gene resulted in WASP protein destabilization and in symptoms resembling those of Wiskott-Aldrich syndrome

A female offspring of consanguineous parents, showed features of Wiskott-Aldrich syndrome (WAS), including recurrent infections, eczema, thrombocytopenia, defective T cell proliferation and chemotaxis, and impaired natural killer cell function. Cells from this patient had undetectable WAS protein (WASP), but normal WAS sequence and messenger RNA levels. WASP interacting protein (WIP), which stabilizes WASP, was also undetectable. A homozygous c.1301C>G stop codon mutation was found in the WIPF1 gene, which encodes WIP. Introduction of WIP into the patient’s T cells restored WASP expression. These findings indicate that WIP deficiency should be suspected in patients with features of WAS in whom WAS sequence and mRNA levels are normal.

Reduced thymic output, cell cycle abnormalities, and increased apoptosis of T lymphocytes in patients with cartilage-hair hypoplasia

BACKGROUND

Cartilage-hair hypoplasia (CHH) is characterized by metaphyseal dysplasia, bone marrow failure, increased risk of malignancies, and a variable degree of immunodeficiency. CHH is caused by mutations in the RNA component of the mitochondrial RNA processing (RMRP) endoribonuclease gene, which is involved in ribosomal assembly, telomere function, and cell cycle control.

OBJECTIVES

We aimed to define thymic output and characterize immune function in a cohort of patients with molecularly defined CHH with and without associated clinical immunodeficiency.

METHODS

We studied the distribution of B and T lymphocytes (including recent thymic emigrants), in vitro lymphocyte proliferation, cell cycle, and apoptosis in 18 patients with CHH compared with controls.

RESULTS

Patients with CHH have a markedly reduced number of recent thymic emigrants, and their peripheral T cells show defects in cell cycle control and display increased apoptosis, resulting in poor proliferation on activation.

CONCLUSION

These data confirm that RMRP mutations result in significant defects of cell-mediated immunity and provide a link between the cellular phenotype and the immunodeficiency in CHH.

Induced pluripotent stem cells: a novel frontier in the study of human primary immunodeficiencies

BACKGROUND

The novel ability to epigenetically reprogram somatic cells into induced pluripotent stem cells (iPSCs) through the exogenous expression of transcription promises to revolutionize the study of human diseases.

OBJECTIVE

Here we report on the generation of 25 iPSC lines from 6 patients with various forms of primary immunodeficiencies (PIDs) affecting adaptive immunity, innate immunity, or both.

METHODS

Patients' dermal fibroblasts were reprogrammed by expression of 4 transcription factors, octamer-binding transcription factor 4 (OCT4), sex determining region Y-box 2 (SOX2), Krueppel-like factor 4 (KLF4), and cellular myelomonocytosis proto-oncogene (cMYC), by using a single excisable polycistronic lentiviral vector.

RESULTS

iPSCs derived from patients with PIDs show a stemness profile that is comparable with that observed in human embryonic stem cells. After in vitro differentiation into embryoid bodies, pluripotency of the patient-derived iPSC lines was demonstrated by expression of genes characteristic of each of the 3 embryonic layers. We have confirmed the patient-specific origin of the iPSC lines and ascertained maintenance of karyotypic integrity.

CONCLUSION

By providing a limitless source of diseased stem cells that can be differentiated into various cell types in vitro, the repository of iPSC lines from patients with PIDs represents a unique resource to investigate the pathophysiology of hematopoietic and extrahematopoietic manifestations of these diseases and might assist in the development of novel therapeutic approaches based on gene correction.

The relationship of x-linked primary immune deficiencies and autoimmunity

It is well-known that autoimmunity is significantly more prevalent in females. Growing evidence indicates that genes located on the X chromosome may play a role in autoimmunity and immune dysregulation, as also indicated by the frequent association of autoimmune phenomena in patients with X-linked primary immune deficiencies (PIDs). Hence, this group of genetic disorders is of particular interest to study PID-causing genes in the setting of more complex autoimmune disorders. This review focuses on the mechanisms leading to the autoimmune phenomena that are associated with the different X-linked PIDs, and on the intriguing interplay between immune dysregulation and immune deficiency in this unique setting.

X-linked primary immunodeficiencies as a bridge to better understanding X-chromosome related autoimmunity

Recent studies indicate that genes located on the X-chromosome play a major and unique role in autoimmunity. The fact that most X-linked primary immune deficiencies carry significant autoimmune manifestations greatly supports this notion. Autoimmunity and immune deficiency have been considered two opposite extremes resulting from immune dysregulation and failure of immune development and/or function, respectively. Growing evidence has been accumulating to indicate that autoimmune phenomena occur in patients suffering from primary immune deficiency (PID), and the molecular and cellular mechanisms that interconnect these conditions are being unraveled. The study of rare single-gene disorders associated with significant autoimmunity may shed light on the pathophysiology of more complex multifactorial and polygenic autoimmune disorders. In this regard, primary immunodeficiencies represent unique "experiments of Nature" that illustrate the critical role played by single-gene products in the development, function and homeostasis of the immune system. In this review we will focus on the clinical features and on the cellular and molecular pathophysiology of the known X-linked PID in which autoimmune manifestations are more common, in the attempt to understand what single-gene defects can teach us on the role that key immune pathways and cellular processes may play to prevent autoimmunity.