A Pilot Study Using Machine Learning Algorithms and Wearable Technology for the Early Detection of Postoperative Complications After Cardiothoracic Surgery.

OBJECTIVE: To evaluate whether a machine learning algorithm (i.e. the "NightSignal" algorithm) can be used for the detection of postoperative complications prior to symptom onset after cardiothoracic surgery. SUMMARY BACKGROUND DATA: Methods that enable the early detection of postoperative complications after cardiothoracic surgery are needed. METHODS: This was a prospective observational cohort study conducted from July 2021 to February 2023 at a single academic tertiary care hospital. Patients aged 18 years or older scheduled to undergo cardiothoracic surgery were recruited. Study participants wore a Fitbit watch continuously for at least 1 week preoperatively and up to 90-days postoperatively. The ability of the NightSignal algorithm-which was previously developed for the early detection of Covid-19-to detect postoperative complications was evaluated. The primary outcomes were algorithm sensitivity and specificity for postoperative event detection. RESULTS: A total of 56 patients undergoing cardiothoracic surgery met inclusion criteria, of which 24 (42.9%) underwent thoracic operations and 32 (57.1%) underwent cardiac operations. The median age was 62 (IQR: 51-68) years and 30 (53.6%) patients were female. The NightSignal algorithm detected 17 of the 21 postoperative events a median of 2 (IQR: 1-3) days prior to symptom onset, representing a sensitivity of 81%. The specificity, negative predictive value, and positive predictive value of the algorithm for the detection of postoperative events were 75%, 97%, and 28%, respectively. CONCLUSIONS: Machine learning analysis of biometric data collected from wearable devices has the potential to detect postoperative complications-prior to symptom onset-after cardiothoracic surgery.

Navigation of Prenatal Care With Sex Discordance Between Cell-free DNA and Ultrasound Findings.

The utilization of cell-free DNA (cfDNA) screening has expanded rapidly across the age spectrum of pregnant persons. With cfDNA's widespread adoption, genetic fetal sex is now often known before a phenotypic assessment on anatomic survey. CfDNA detects sex discordance in 1/1500 to 2000 pregnancies. Upon detection of sex discordance, lab error or other factors should first be assessed. Once other causes have been ruled out, this may indicate an underlying disorder/difference in sex development. A multidisciplinary team should coordinate diagnosis, treatment, and support for the family. This review discusses the diagnostic workup, emphasizing the multidisciplinary counseling and management of disorder/differences in sex development.

Feasibility of virtual reality based training for optimising COVID-19 case handling in Uganda.

BACKGROUND: Epidemics and pandemics are causing high morbidity and mortality on a still-evolving scale exemplified by the COVID-19 pandemic. Infection prevention and control (IPC) training for frontline health workers is thus essential. However, classroom or hospital ward-based training portends an infection risk due to the in-person interaction of participants. We explored the use of Virtual Reality (VR) simulations for frontline health worker training since it trains participants without exposing them to infections that would arise from in-person training. It does away with the requirement for expensive personal protective equipment (PPE) that has been in acute shortage and improves learning, retention, and recall. This represents the first attempt in deploying VR-based pedagogy in a Ugandan medical education context. METHODS: We used animated VR-based simulations of bedside and ward-based training scenarios for frontline health workers. The training covered the donning and doffing of PPE, case management of COVID-19 infected individuals, and hand hygiene. It used VR headsets to actualize an immersive experience, via a hybrid of fully-interactive VR and 360° videos. The level of knowledge acquisition between individuals trained using this method was compared to similar cohorts previously trained in a classroom setting. That evaluation was supplemented by a qualitative assessment based on feedback from participants about their experience. RESULTS: The effort resulted in a COVID-19 IPC curriculum adapted into VR, corresponding VR content, and a pioneer cohort of VR trained frontline health workers. The formalized comparison with classroom-trained cohorts showed relatively better outcomes by way of skills acquired, speed of learning, and rates of information retention (P-value = 4.0e-09). In the qualitative assessment, 90% of the participants rated the method as very good, 58.1% strongly agreed that the activities met the course objectives, and 97.7% strongly indicated willingness to refer the course to colleagues. CONCLUSION: VR-based COVID-19 IPC training is feasible, effective and achieves enhanced learning while protecting participants from infections within a pandemic setting in Uganda. It is a delivery medium transferable to the contexts of other highly infectious diseases.

Validation of pneumonia prognostic scores in a statewide cohort of hospitalised patients with COVID-19.

OBJECTIVE: We aimed to externally validate the predictive performance of two recently developed COVID-19-specific prognostic tools, the COVID-GRAM and CALL scores, and prior prognostic scores for community-acquired pneumonia (CURB-65), viral pneumonia (MuBLSTA) and H1N1 influenza pneumonia (Influenza risk score) in a contemporary US cohort. METHODS: We included 257 hospitalised patients with laboratory-confirmed COVID-19 pneumonia from three teaching hospitals in Rhode Island. We extracted data from within the first 24 hours of admission. Variables were excluded if values were missing in >20% of cases, otherwise, missing values were imputed. One hundred and fifteen patients with complete data after imputation were used for the primary analysis. Sensitivity analysis was performed after the exclusion of one variable (LDH) in the complete dataset (n = 257). Primary and secondary outcomes were in-hospital mortality and critical illness (mechanical ventilation or death), respectively. RESULTS: Only the areas under the receiver-operating characteristic curves (RO-AUC) of COVID-GRAM (RO-AUC = 0.775, 95% CI 0.525-0.915) for in-hospital death, and CURB65 for in-hospital death (RO-AUC = 0.842, 95% CI 0.674-0.932) or critical illness (RO-AUC = 0.766, 95% CI 0.584-0.884) were significantly better than random. Sensitivity analysis yielded similar trends. Calibration plots showed better agreement between the estimated and observed probability of in-hospital death for CURB65, compared with COVID-GRAM. The negative predictive value (NPV) of CURB65 ≥2 was 97.2% for in-hospital death and 88.1% for critical illness. CONCLUSIONS: The COVID-GRAM score demonstrated acceptable predictive performance for in-hospital death. The CURB65 score had better prognostic utility for in-hospital death and critical illness. The high NPV of CURB65 values ≥2 may be useful in triaging and allocation of resources.

Nephele: a cloud platform for simplified, standardized and reproducible microbiome data analysis.

Motivation: Widespread interest in the study of the microbiome has resulted in data proliferation and the development of powerful computational tools. However, many scientific researchers lack the time, training, or infrastructure to work with large datasets or to install and use command line tools. Results: The National Institute of Allergy and Infectious Diseases (NIAID) has created Nephele, a cloud-based microbiome data analysis platform with standardized pipelines and a simple web interface for transforming raw data into biological insights. Nephele integrates common microbiome analysis tools as well as valuable reference datasets like the healthy human subjects cohort of the Human Microbiome Project (HMP). Nephele is built on the Amazon Web Services cloud, which provides centralized and automated storage and compute capacity, thereby reducing the burden on researchers and their institutions. Availability and implementation: https://nephele.niaid.nih.gov and https://github.com/niaid/Nephele. Contact: darrell.hurt@nih.gov.

Segmentectomy versus lobectomy in the United States: Outcomes after resection for first primary lung cancer and treatment patterns for second primary lung cancers.

OBJECTIVE: The study objective was to identify whether the results of JCOG0802 could be generalized to US clinical settings. METHODS: Patients diagnosed with clinical stage IA (≤2 cm) non-small cell lung cancer who underwent segmentectomy versus lobectomy (2004-2017) in the National Cancer Database were identified. Overall survival of patients in the National Cancer Database was assessed using propensity score-matched analysis. A separate analysis of the Surveillance Epidemiology End Results database was conducted to evaluate treatment patterns of second primary lung cancers among patients who underwent segmentectomy versus lobectomy for a first primary lung cancer. RESULTS: Of the 23,286 patients in the National Cancer Database meeting inclusion criteria, 1397 (6.0%) underwent segmentectomy and 21,889 (94.0%) underwent lobectomy. In a propensity score-matched analysis of all patients in the study cohort, there were no significant differences in overall survival between patients undergoing segmentectomy versus lobectomy (5-year overall survival: 79.9% [95% CI, 76.7%-82.0%] vs 81.8% [95% CI, 78.7%-84.4%], log-rank: P = .72). In subgroup analyses by tumor grade and histologic subtype, segmentectomy was associated with similar overall survival compared with lobectomy in all subgroups evaluated. In a propensity score-matched analysis of patients in the Surveillance Epidemiology End Results database, there were no significant differences in treatment patterns of second primary lung cancers between patients who underwent segmentectomy and patients who underwent lobectomy for their first primary lung cancer. CONCLUSIONS: In this national analysis of US patients diagnosed with stage IA (≤2 cm) non-small cell lung cancer, there were no significant differences in overall survival between segmentectomy and lobectomy in the overall cohort or in subgroup analyses by tumor grade or histologic subtype.

Botulinum neurotoxin type A does not exert concentration-dependent effects on equine articular cartilage in vitro.

OBJECTIVE: To determine whether Botulinum neurotoxin type A (BoNT-A) ameliorates the effects of interleukin 1 (IL-1) on equine articular cartilage, or exerts negative effects on normal equine articular cartilage homeostasis in vitro. SAMPLE: Articular cartilage explants from 6 healthy femoropatellar joints of 3 adult horses. METHODS: Explants were allocated to the IL-1 challenged or unchallenged group, then exposed to 1 of 6 concentrations of BoNT-A (0, 1, 10, 50, 100, or 500 pg/mL) for 96 hours. To assess BoNT-A's effects on inflammation, prostaglandin E2 (PGE2) was measured in media via ELISA. Matrix degradation was determined as the percentage of sulfated glycosaminoglycans (sGAG) released from explants via dimethylmethylene blue assay. Aggrecan synthesis was estimated using CS846 ELISA and collagen type II degradation was estimated using C2C ELISA on media. Chondrocyte apoptosis was assessed via in-situ TUNEL assay. Generalized linear mixed models were fitted to determine treatment effects using α = 0.05. RESULTS: The challenge with IL-1 resulted in increased concentrations of PGE2 and CS846 in media and increased release of sGAG from explants. BoNT-A did not significantly impact PGE2 or CS846 concentration in media, percentage of sGAG released, or chondrocyte apoptosis in IL-1 challenged or unchallenged cartilage explants. The concentration of C2C in media was below the quantifiable limit of the ELISA in all samples. CLINICAL RELEVANCE: BoNT-A did not show chondroprotective effects or have negative effects on cartilage homeostasis in vitro at the concentrations tested. While chondroprotective effects were not observed, BoNT-A may be safe for intraarticular use. In vivo testing is warranted before clinical use.

A national survey of occupational musculoskeletal injuries in cardiothoracic surgeons.

OBJECTIVE: There is growing concern that surgeons are at increased risk for work-related orthopedic injuries due to poor ergonomics. We conducted a survey of North American cardiothoracic surgeons to evaluate the prevalence of occupational injury, as well as perceptions and use of ergonomic techniques. METHODS: Cardiothoracic surgeons identified through the Cardiothoracic Surgery Network were asked to complete a 33-question survey assessing their musculoskeletal health, as well as their perceptions and use of ergonomic techniques in the operating room and office. RESULTS: Among 600 cardiothoracic surgeons, the prevalence of occupational musculoskeletal injuries was 64%, with 30% of affected surgeons requiring time away from work and 20% requiring surgery or the use of narcotics. Cervical spine injury (35%, n = 216) was the most common injury due to operating, followed by lumbar spine injury (30%, n = 180). In multivariable-adjusted analysis, cardiac surgeons were more likely than thoracic surgeons to experience occupational musculoskeletal injuries (adjusted odds ratio, 1.8 [1.2-2.8], P < .01). Notably, 90% of surgeons (n = 536) reported thinking that their institution did not provide sufficient ergonomics education or support, and only 35% (n = 205) thought that the cardiothoracic surgical community is supportive of implementing ergonomics techniques in the operating room and office. CONCLUSIONS: In this survey analysis, cardiothoracic surgeons reported experiencing work-related orthopedic injuries at an alarmingly high rate, leading to significant time away from work and for many to retire from surgery over a decade early. These findings underline a critical need for institutions to prioritize ergonomics education and implement ergonomics-directed techniques in the operating room and office.

Safety and feasibility of minimally invasive lobectomy after neoadjuvant immunotherapy for non-small cell lung cancer.

OBJECTIVE: The objective of this study was to evaluate the feasibility of minimally invasive surgery (MIS) and perioperative outcomes following neoadjuvant immunotherapy for resectable non-small cell lung cancer (NSCLC). METHODS: Patients with stage I to III NSCLC treated with immunotherapy with or without chemotherapy or chemotherapy alone prior to lobectomy were identified in the National Cancer Database (2010-2018). The percentage of operations performed minimally invasively, conversion rates, and perioperative outcomes were evaluated using propensity-score matching. Propensity-score matching was also used to compare perioperative outcomes between patients who underwent an open lobectomy and those who underwent an MIS lobectomy after neoadjuvant immunotherapy. RESULTS: Of the 4229 patients identified, 218 (5%) received neoadjuvant immunotherapy and 4011 (95%) received neoadjuvant chemotherapy alone. There was no difference in the rate of MIS lobectomy among patients who received immunotherapy compared with those who received chemotherapy alone in propensity score-matched analysis (60.8% vs 51.6%; P = .11). There also were no significant differences in the rate of conversion from MIS to open lobectomy (14% vs 15%, P = .83; odds ratio, 1.1; 95% confidence interval, 0.51-2.24) or in nodal downstaging, margin positivity, 30-day readmission, and 30- and 90-day mortality between the 2 groups. In a subgroup analysis of only patients treated with neoadjuvant immunotherapy, there were no differences in pathologic or perioperative outcomes between patients who underwent open lobectomy and those who underwent MIS lobectomy. CONCLUSIONS: In this national analysis, neoadjuvant immunotherapy for resectable NSCLC was not associated with an increased likelihood of the need for thoracotomy, conversion from MIS to open lobectomy, or inferior perioperative outcomes.

African Centers of Excellence in Bioinformatics and Data Intensive Science: Building Capacity for Enhancing Data Intensive Infectious Diseases Research in Africa.

Africa faces both a disproportionate burden of infectious diseases coupled with unmet needs in bioinformatics and data science capabilities which impacts the ability of African biomedical researchers to vigorously pursue research and partner with institutions in other countries. The African Centers of Excellence in Bioinformatics and Data Intensive Science are collaborating with African academic institutions, industry partners, the Foundation for the National Institutes of Health (FNIH) and the National Institute of Allergy and Infectious Diseases (NIAID) at the National Institutes of Health (NIH) in a public-private partnership to address these challenges through enhancing computational infrastructure, fostering the development of advanced bioinformatics and data science skills among local researchers and students and providing innovative emerging technologies for infectious diseases research.

Evaluating Barriers to Viral Suppression among People with HIV in Santiago, Dominican Republic.

The Dominican Republic (DR) has the second-highest prevalence of HIV infection in the Caribbean, but viral suppression and treatment adherence are not well understood. We conducted a cross-sectional study among people living with HIV/AIDS(PLWHA) to fill in the knowledge gap. Questionnaire was used to collect demographic data, antiretroviral therapy (ART) adherence, and barriers and facilitators to HIV care. Viral load and other clinical information were extracted through chart reviews. Descriptive analyzes and logistic regression were conducted to explore factors associated with non-viral suppression and imperfect ART adherence. Of 193 PLWHA 83.9% were virally suppressed. Those that were non-virally suppressed were more likely of being male (odds ratio [OR]: 2.55, 95% confidence interval [CI]: 1.17-5.58) and less likely of being unemployed (OR: 0.28, 95% CI: 0.08-0.96). However, being male (OR: 0.78, 95% CI:0.40-1.53) and unemployed (OR: 0.28, 95% CI:0. 08-1.21) were less likely to report imperfect adherence. Tailored interventions are needed to improve adherence and viral suppression in DR.

Characterizing the Symptoms of Patients with Persistent Post-Treatment Lyme Symptoms: A Survey of Patients at a Lyme Disease Clinic in Rhode Island.

BACKGROUND: 10-20% of individuals diagnosed with Lyme disease develop chronic symptoms after antibiotic treatment. METHODS: A convenience sample of adults with self- reported, persistent post-Lyme treatment symptoms seeking treatment at the Lifespan Lyme Disease Center in Rhode Island completed a demographic and medical survey, the Patient Reported Outcomes Measurement Information System (PROMIS)-29 v2.0, and other short-form PROMIS measures of cognitive function, sleep disturbance, and fatigue. RESULTS: Compared to average standardized scale scores (T=50; SD=10), participants had mild impairments in physical (T=41) and social (T=42) functioning, mild symptoms of depression (T=56), anxiety (T=60), and sleep disturbance (T=57), and moderate pain interference (T=62), and fatigue (T=65). Participants reported greater symptoms than some other clinical samples including those with cancer and chronic pain. Post-hoc analyses revealed that women reported higher levels of fatigue than men. CONCLUSIONS: People with persistent post-Lyme treatment symptoms report debilitating symptoms and functional impairments which must be considered in clinical care.

Clinical outcomes of a community clinic-based lifestyle change program for prevention and management of metabolic syndrome: Results of the 'Vida Sana/Healthy Life' program.

INTRODUCTION: As US Hispanic populations are at higher risk than non-Hispanics for cardiovascular disease and Type 2 diabetes targeted interventions are clearly needed. This paper presents the four years results of the Vida Sana Program (VSP), which was developed and is implemented by a small clinic serving mostly Spanish-speaking, limited literacy population. METHODS: The eight-week course of interactive two-hour sessions taught by Navegantes, bilingual/cultural community health workers, was delivered to participants with hypertension, or high lipids, BMI, waist circumference, glucose or hemoglobin A1C (A1C). Measures, collected by Navegantes and clinic nurses, included blood chemistries, blood pressure, anthropometry, and an assessment of healthy food knowledge. RESULTS: Most participants (67%) were female, Hispanic (95%), and all were 18 to 70 years of age. At baseline, close to half of participants were obese (48%), had high waist circumference (53%), or elevated A1C (52%), or fasting blood glucose (57%). About one third had high blood pressure (29%) or serum cholesterol (35%), and 22% scored low on the knowledge assessment. After the intervention, participants decreased in weight (-1.0 lb), BMI (-0.2 kg/m2), WC (-0.4 inches), and cholesterol (-3.5 mg/dl, all p<0.001). Systolic blood pressure decreased (-1.7 mm Hg, p<0.001), and the knowledge score increased (6.8 percent, p<0.001). DISCUSSION: VSP shows promising improvements in metabolic outcomes, similar to other programs with longer duration or higher intensity interventions. VSP demonstrates an important model for successful community-connected interventions.

Recruitment, Training, and Roles of the Bilingual, Bicultural Navegantes: Developing a Specialized Workforce of Community Health Workers to Serve a Low-Income, Spanish-Speaking Population in Rhode Island.

Clínica Esperanza/Hope Clinic (CEHC) employs Navegantes, who are specially-trained bilingual Community Health Workers (CHW), as key team members who improve the ability of the clinic to provide care for and improve the health status of a large population of uninsured Spanish-speaking patients in Providence, Rhode Island. Given the growing demand for CHWs at the clinic and in the broader healthcare sector in the state, CEHC developed the Advanced Navegante Training Program (ANTP). The ANTP prepares community members to become certified CHWs who are equipped to provide patient navigation and lifestyle coaching as well as professional medical interpretation services. The ANTP is developed and taught by CEHC Navegantes who themselves are bilingual and bicultural peers of trainees as well as the population that CEHC serves. Upon graduation, ANTP trainees have been able to attain higher-paying and fulfilling careers in a range of healthcare and other community settings. The ANTP offers a low-cost, community-based model for training CHWs who are uniquely prepared to promote health and well-being among medically underserved patients.

Characterizing Post-treatment Lyme Disease Syndrome: A Mixed Methods Study of Patients at a Lyme Disease Clinic in Rhode Island.

BACKGROUND: Mixed quantitative and qualitative research methods may be useful for characterizing the experiences of patients with post-treatment Lyme disease syndrome. METHODS: 15 participants completed demographic and screening questions, surveys assessing quality of life, fatigue, pain, cognitive functioning, and other patient- reported outcomes, a semi-structured in-depth interview, and consented to a Lyme-related medical chart review. RESULTS: Participants reported mild to moderate symptoms and functional impairments on patient-reported outcome surveys and in-depth interviews. Participants reported on a number of management strategies that they found more or less effective in managing their symptoms. Participants endorsed the need for better clinical assessment of symptom patterns over time, greater Lyme-related education for providers, more holistic approaches to diagnosis and care, and the desire to participate in Lyme-focused support groups. CONCLUSIONS: Overall, participants desired a more holistic approach to diagnosis, symptom assessment, and symptom management. Recommendations for future research and clinical considerations are discussed.

Predictors of severity and mortality among patients hospitalized with COVID-19 in Rhode Island.

BACKGROUND: In order for healthcare systems to prepare for future waves of COVID-19, an in-depth understanding of clinical predictors is essential for efficient triage of hospitalized patients. METHODS: We performed a retrospective cohort study of 259 patients admitted to our hospitals in Rhode Island to examine differences in baseline characteristics (demographics and comorbidities) as well as presenting symptoms, signs, labs, and imaging findings that predicted disease progression and in-hospital mortality. RESULTS: Patients with severe COVID-19 were more likely to be older (p = 0.02), Black (47.2% vs. 32.0%, p = 0.04), admitted from a nursing facility (33.0% vs. 17.9%, p = 0.006), have diabetes (53.9% vs. 30.4%, p<0.001), or have COPD (15.4% vs. 6.6%, p = 0.02). In multivariate regression, Black race (adjusted odds ratio [aOR] 2.0, 95% confidence interval [CI]: 1.1-3.9) and diabetes (aOR 2.2, 95%CI: 1.3-3.9) were independent predictors of severe disease, while older age (aOR 1.04, 95% CI: 1.01-1.07), admission from a nursing facility (aOR 2.7, 95% CI 1.1-6.7), and hematological co-morbidities predicted mortality (aOR 3.4, 95% CI 1.1-10.0). In the first 24 hours, respiratory symptoms (aOR 7.0, 95% CI: 1.4-34.1), hypoxia (aOR 19.9, 95% CI: 2.6-152.5), and hypotension (aOR 2.7, 95% CI) predicted progression to severe disease, while tachypnea (aOR 8.7, 95% CI: 1.1-71.7) and hypotension (aOR 9.0, 95% CI: 3.1-26.1) were associated with increased in-hospital mortality. CONCLUSIONS: Certain patient characteristics and clinical features can help clinicians with early identification and triage of high-risk patients during subsequent waves of COVID-19.

Feasibility of Virtual Reality based Training for Optimising COVID-19 Case Handling in Uganda.

Background Epidemics and pandemics are causing high morbidity and mortality on a still-evolving scale exemplified by the COVID-19 pandemic. Infection prevention and control (IPC) training for frontline health workers is thus essential. However, classroom or hospital ward based training portends an infection risk due to the in-person interaction of participants. We explored the use of Virtual Reality (VR) simulations for frontline health worker training since it trains participants without exposing them to infections that would arise from in-person training. It does away with the requirement for expensive Personal Protective Equipment (PPE) that has been in acute shortage and improves learning, retention and recall. This represents the first attempt in deploying VR-based pedagogy in a Ugandan medical education context. Methods We used animated VR-based simulations of bedside and ward-based training scenarios for frontline health workers. The training covered the wearing and stripping of PPE, case management of COVID-19 infected individuals and hand hygiene. It used VR headsets and Graphics Processing Units (GPUs) to actualize an immersive experience, via a hybrid of VR renditions and 360degrees videos. We then compared the level of knowledge acquisition between individuals trained using this method to comparable cohorts previously trained in a classroom setting. That evaluation was supplemented by a qualitative assessment based on feedback from participants about their experience. Results The effort resulted into a well-designed COVID-19 IPC VR curriculum, equivalent VR content and a pioneer cohort of trained frontline health workers. The formalized comparison with classroom-trained cohorts showed relatively better outcomes by way of skills acquired, speed of learning and rates of information retention ( P-value =4.0e-09) - suggesting the effectiveness and feasibility of VR as a medium of medical training. Additionally, in the qualitative assessment 90% of the participants rated the method as very good, 58.1% strongly agreed that the activities met the course objectives, and 97.7 % strongly indicated willingness to refer the course to colleagues. Conclusion VR-based COVID-19 IPC training is feasible, effective and achieves enhanced learning while protecting participants from infections within a pandemic context in Uganda. It is a delivery medium transferable to the contexts of other highly infectious diseases.

Prospective trial on obstructive sleep apnea in pregnancy and fetal heart rate monitoring.

OBJECTIVE: Obstructive sleep apnea (OSA) involves episodic nocturnal apneas. Using polysomnography, we examined the predictive capacity of screening questionnaires (Berlin) in pregnancy. Incorporating simultaneous fetal heart rate monitoring (FHM), we examined the association of maternal apnea with FHM abnormalities. STUDY DESIGN: We enrolled 100 pregnant women at 26-39 weeks of gestation with OSA screening and baseline data ascertainment who underwent polysomnography and FHM for > or =3 hours. The relationship between maternal characteristics, OSA, and FHM was explored with multivariate analyses that were controlled for potential confounders. RESULTS: When compared with polysomnography, sensitivity and specificity by Berlin screening was 35% and 63.8%, respectively; the snoring component of the Berlin correlated better with oxygen desaturation <95% (P = .003). Body mass index was a significant confounder (r(s) = 0.44; P < .0001). No association was observed between FHM abnormalities and OSA parameters. CONCLUSION: In pregnancy, the Berlin questionnaire poorly predicts OSA. It is unclear whether fetal compromise during maternal apnea is a mechanism in OSA that is related to pregnancy outcome.

Low-tech solutions for the COVID-19 supply chain crisis.

A global effort is ongoing in the scientific community and in the maker movement, which focuses on creating devices and tinkering with them, to reverse-engineer commercial medical equipment and get it to healthcare workers. For these 'low-tech' solutions to have a real impact, it is important for them to coalesce around approved designs.