How I approach optimization of patients at risk of cardiac and pulmonary complications after CAR T-cell therapy.

Chimeric antigen receptor (CAR) T cells have transformed the care for patients with hematologic malignancies. Patients treated with CAR T cells may experience cardiovascular and pulmonary complications, which primarily occur in the setting of cytokine release syndrome. In addition, many patients considered for CAR T-cell therapy have preexisting cardiac and pulmonary comorbidities. Among patients with good functional status, these conditions should not prevent patients from being offered these lifesaving therapies. In this article, we use a case-based approach to discuss how we evaluate and optimize conditions for patients with cardiac and pulmonary risk factors before CAR T-cell therapy and manage cardiac and pulmonary complications that may arise with treatment.

Novel Cancer Therapeutics: Perioperative Implications and Challenges.

Since the introduction of immunotherapy and targeted therapies, patients not only have adequate tumoral response to these treatments, but their quality of life has improved due to milder toxicities. However, due to their wide mechanisms of action, the toxicity profile for these therapies is broad, can have an insidious onset, and their recognition can be challenging. Rarely, some of these toxicities can cause significant morbidity if not diagnosed early and lead to intensive care unit (ICU) admission and death. Anesthesiologists are likely to encounter not only a wide spectrum of these toxicities but also a wide range of severity. In some cases, they could be the first to make the diagnosis and therefore need to be prepared to rapidly assess, establish differentials, perform a diagnostic workup, and evaluate the impact the toxicity could have on the patients' care during the perioperative period. In this article, we set to review toxicities of novel cancer therapies such as checkpoint inhibitors and targeted therapies, that could present in the perioperative setting. This article will help as a guide for anesthesiologists to recognize their clinical presentation, the approach to their diagnosis, and their impact on patient care.

Brachytherapy for targeting the immune system in cervical cancer patients.

BACKGROUND: New combinations based on standard therapeutic modalities and immunotherapy require understanding the immunomodulatory properties of traditional treatments. The objective was to evaluate the impact of brachytherapy (BT) on the immune system of cervical cancer and to identify the best modality, High-dose-rate brachytherapy (HDR-BT) vs. Pulsed-dose-rate (PDR-BT), to target it. METHODS: Nineteen patients enrolled in a prospective study received chemoradiation (CRT) and subsequently HDR-BT or PDR-BT. Peripheral blood samples were obtained for immunophenotyping analysis by flow-cytometry before CRT, BT, and two and four weeks after BT. The Friedman one-way ANOVA, Conover post hoc test, and the Wilcoxon signed-rank test were used to compare changes in cell populations at different periods, perform multiple pairwise comparisons and assess differences between treatment groups (PDR and HDR). RESULTS: Natural killer cells (NKs) were the best target for BT. Patients receiving HDR-BT achieved significantly higher values ​​and longer time of the CD56dimCD16 + NK cells with greater cytotoxic capacity than the PDR-BT group, which presented their highest elevation of CD56-CD16 + NK cells. Furthermore, both BT modalities were associated with an increase in myeloid-derived suppressor cells (MDSCs), related to a worse clinical prognosis. However, there was a decrease in the percentage of CD4 + CD25 + Foxp3 + CD45RA + regulatory T cells (Tregs) in patients receiving HDR-BT, although there were no significant differences between BT. CONCLUSIONS: Immune biomarkers are important predictive determinants in cervical cancer. Higher cytotoxic NK cells and a trend toward lower values of Tregs might support the use of HDR-BT to the detriment of PDR-BT and help develop effective combinations with immunotherapy.

Indicators of Clinical Trajectory in Patients With Cancer Who Receive Cardiopulmonary Resuscitation.

BACKGROUND: Patients with cancer who require cardiopulmonary resuscitation (CPR) historically have had low survival to hospital discharge; however, overall CPR outcomes and cancer survival have improved. Identifying patients with cancer who are unlikely to survive CPR could guide and improve end-of-life discussions prior to cardiac arrest. METHODS: Demographics, clinical variables, and outcomes including immediate and hospital survival for patients with cancer aged ≥18 years who required in-hospital CPR from 2012 to 2015 were collected. Indicators capturing the overall declining clinical and oncologic trajectory (ie, no further therapeutic options for cancer, recommendation for hospice, or recommendation for do not resuscitate) prior to CPR were determined a priori and manually identified. RESULTS: Of 854 patients with cancer who underwent CPR, the median age was 63 years and 43.6% were female; solid cancers accounted for 60.6% of diagnoses. A recursive partitioning model selected having any indicator of declining trajectory as the most predictive factor in hospital outcome. Of our study group, 249 (29%) patients were found to have at least one indicator identified prior to CPR and only 5 survived to discharge. Patients with an indicator were more likely to die in the hospital and none were alive at 6 months after discharge. These patients were younger (median age, 59 vs 64 years; P≤.001), had a higher incidence of metastatic disease (83.0% vs 62.9%; P<.001), and were more likely to undergo CPR in the ICU (55.8% vs 36.5%; P<.001) compared with those without an indicator. Of patients without an indicator, 145 (25%) were discharged alive and half received some form of cancer intervention after CPR. CONCLUSIONS: Providers can use easily identifiable indicators to ascertain which patients with cancer are at risk for death despite CPR and are unlikely to survive to discharge. These findings can guide discussions regarding utility of resuscitation and the lack of further cancer interventions even if CPR is successful.

Psychometric validation of the Spanish version of the Expanded Prostate Cancer Index Composite-26.

PURPOSE: To assess the validity, reliability, and responsiveness of the Spanish version of the Expanded Prostate cancer Index Composite (EPIC) with 26 items. METHODS: Multicentric longitudinal study of patients diagnosed with localized or locally advanced prostate cancer (any T, any N, M0) treated with active surveillance, surgery, external radiotherapy, or brachytherapy. The EPIC-50 was administered initially to the cohort (n = 324 patients), until it was replaced in November 2019 by the EPIC-26 (n = 543), in both groups before treatment and 12 months after. We assessed confirmatory factor analysis (CFA), reliability with Cronbach's alpha coefficient, criterion validity with the intraclass correlation coefficient (ICC), and responsiveness by testing a priori hypotheses on deterioration effect size (ES). RESULTS: The CFA confirmed the five-domain structure of the EPIC-26 proposed by the original instrument (comparative fit index = 0.95). The agreement between EPIC-50 (gold standard) and EPIC-26 domains was excellent (ICC > 0.90). Cronbach's alpha was > 0.7 in almost all domains, and the floor effect was near zero, although ceiling effect was higher than 50% in urinary incontinence and bowel domains. Hypothesized changes between before and 12 months after treatment were confirmed: ES > 0.8 in both urinary incontinence and sexual domains among patients who underwent surgery; and ES ranging 0.44-0.48 for bowel and sexual domains in patients treated with external radiotherapy. CONCLUSION: The Spanish version of the EPIC-26 has demonstrated adequate metric properties, similar to those of the original version, with acceptable goodness-of-fit indices, good criterion validity, reliability, and responsiveness to detect changes after radical prostatectomy or external radiotherapy.

Altered Clock Gene Expression in Female APP/PS1 Mice and Aquaporin-Dependent Amyloid Accumulation in the Retina.

Alzheimer's disease (AD), the most prevalent form of dementia, is a neurodegenerative disorder characterized by different pathological symptomatology, including disrupted circadian rhythm. The regulation of circadian rhythm depends on the light information that is projected from the retina to the suprachiasmatic nucleus in the hypothalamus. Studies of AD patients and AD transgenic mice have revealed AD retinal pathology, including amyloid-ß (Aß) accumulation that can directly interfere with the regulation of the circadian cycle. Although the cause of AD pathology is poorly understood, one of the main risk factors for AD is female gender. Here, we found that female APP/PS1 mice at 6- and 12-months old display severe circadian rhythm disturbances and retinal pathological hallmarks, including Aß deposits in retinal layers. Since brain Aß transport is facilitated by aquaporin (AQP)4, the expression of AQPs were also explored in APP/PS1 retina to investigate a potential correlation between retinal Aß deposits and AQPs expression. Important reductions in AQP1, AQP4, and AQP5 were detected in the retinal tissue of these transgenic mice, mainly at 6-months of age. Taken together, our findings suggest that abnormal transport of Aß, mediated by impaired AQPs expression, contributes to the retinal degeneration in the early stages of AD.

Critically Ill Patients Treated for Chimeric Antigen Receptor-Related Toxicity: A Multicenter Study.

OBJECTIVES: To report the epidemiology, treatments, and outcomes of adult patients admitted to the ICU after cytokine release syndrome or immune effector cell-associated neurotoxicity syndrome. DESIGN: Retrospective cohort study. SETTING: Nine centers across the U.S. part of the chimeric antigen receptor-ICU initiative. PATIENTS: Adult patients treated with chimeric antigen receptor T-cell therapy who required ICU admission between November 2017 and May 2019. INTERVENTIONS: Demographics, toxicities, specific interventions, and outcomes were collected. RESULTS: One-hundred five patients treated with axicabtagene ciloleucel required ICU admission for cytokine release syndrome or immune effector cell-associated neurotoxicity syndrome during the study period. At the time of ICU admission, the majority of patients had grade 3-4 toxicities (66.7%); 15.2% had grade 3-4 cytokine release syndrome and 64% grade 3-4 immune effector cell-associated neurotoxicity syndrome. During ICU stay, cytokine release syndrome was observed in 77.1% patients and immune effector cell-associated neurotoxicity syndrome in 84.8% of patients; 61.9% patients experienced both toxicities. Seventy-nine percent of patients developed greater than or equal to grade 3 toxicities during ICU stay, however, need for vasopressors (18.1%), mechanical ventilation (10.5%), and dialysis (2.9%) was uncommon. Immune Effector Cell-Associated Encephalopathy score less than 3 (69.7%), seizures (20.2%), status epilepticus (5.7%), motor deficits (12.4%), and cerebral edema (7.9%) were more prevalent. ICU mortality was 8.6%, with only three deaths related to cytokine release syndrome or immune effector cell-associated neurotoxicity syndrome. Median overall survival time was 10.4 months (95% CI, 6.64-not available mo). Toxicity grade or organ support had no impact on overall survival; higher cumulative corticosteroid doses were associated to decreased overall and progression-free survival. CONCLUSIONS: This is the first study to describe a multicenter cohort of patients requiring ICU admission with cytokine release syndrome or immune effector cell-associated neurotoxicity syndrome after chimeric antigen receptor T-cell therapy. Despite severe toxicities, organ support and in-hospital mortality were low in this patient population.

Cardiovascular events in patients treated with chimeric antigen receptor T-cell therapy for aggressive B-cell lymphoma.

Standard of care (SOC) chimeric antigen receptor (CAR) T-cell therapies such as axicabtagene ciloleucel (axi-cel) and tisagenlecleucel (tisa-cel) are associated with multisystem toxicities. There is limited information available about cardiovascular (CV) events associated with SOC axi-cel or tisa-cel. Patients with CV comorbidities, organ dysfunction, or lower performance status were often excluded in the clinical trials leading to their Food and Drug Adminsitration approval. An improved understanding of CV toxicities in the real-world setting will better inform therapy selection and management of patients receiving these cellular therapies. Here, we retrospectively reviewed the characteristics and outcomes of adult patients with relapsed/refractory large B-cell lymphoma treated with SOC axi-cel or tisa-cel. Among the 165 patients evaluated, 27 (16%) developed at least one 30-day (30-d) major adverse CV event (MACE). Cumulatively, these patients experienced 21 arrhythmias, four exacerbations of heart failure/cardiomyopathy, four cerebrovascular accidents, three myocardial infarctions, and one patient died due to myocardial infaction. Factors significantly associated with an increased risk of 30-d MACE included age ≥60 years, an earlier start of cytokine release syndrome (CRS), CRS ≥ grade 3, long duration of CRS, and use of tocilizumab. After a median follow-up time of 16.2 months (range, 14.3-19.1), the occurrence of 30-d MACE was not significantly associated with progression-free survival or with overall survival. Our results suggest that the occurrence of 30-d MACE is more frequent among patients who are elderly, with early, severe, and prolonged CRS. However, with limited follow-up, larger prospective studies are needed, and multidisciplinary management of these patients is recommended.

Outcomes and Predictors of 28-Day Mortality in Patients With Hematologic Malignancies and Septic Shock Defined by Sepsis-3 Criteria.

BACKGROUND: To describe short-term outcomes and independent predictors of 28-dayx mortality in adult patients with hematologic malignancies and septic shock defined by the new Third International Consensus Definitions (Sepsis-3) criteria. METHODS: We performed a retrospective cohort study of patients admitted to the medical ICU with septic shock from April 2016 to March 2019. Demographic and clinical features and short-term outcomes were collected. We used descriptive statistics to summarize patient characteristics, logistic regression to identify predictors of 28-day mortality, and Kaplan-Meier plots to assess survival. RESULTS: Among the 459 hematologic patients with septic shock admitted to the ICU, 109 (23.7%) had received hematopoietic stem cell transplant. The median age was 63 years (range, 18-89 years), and 179 (39%) were women. Nonsurvivors had a higher Charlson comorbidity index (P=.007), longer length of stay before ICU admission (P=.01), and greater illness severity at diagnosis and throughout the hospital course (P<.001). The mortality rate at 28 days was 67.8% and increased with increasing sequential organ failure assessment score on admission (odds ratio [OR], 1.11; 95% CI, 1.03-1.20), respiratory failure (OR, 3.12; 95% CI, 1.49-6.51), and maximum lactate level (OR, 1.16; 95% CI, 1.10-1.22). Aminoglycosides administration (OR, 0.42; 95% CI, 0.26-0.69), serum albumin (OR, 0.51; 95% CI, 0.31-0.86), and granulocyte colony-stimulating factor (G-CSF) (OR, 0.40; 95% CI, 0.24-0.65) were associated with lower 28-day mortality. Life support limitations were present in 81.6% of patients at death. At 90 days, 19.4% of the patients were alive. CONCLUSIONS: Despite efforts to enhance survival, septic shock in patients with hematologic malignancies is still associated with high mortality rates and poor 90-day survival. These results demonstrate the need for an urgent call to action with higher awareness, including the further evaluation of interventions such as earlier ICU admission, aminoglycosides administration, and G-CSF treatment.

Mindfulness as an Antidote to Burnout for Nursing and Support Staff in an Oncological Intensive Care Unit: A Pilot Study.

We set out to implement a pilot mindfulness-based intervention (MBI) to alleviate burnout, stress, anxiety, and depression in nursing and support staff of an oncological intensive care unit. We created an 8-week personalized yoga therapy MBI for nurses and patient care technicians in an oncological intensive care unit. Validated self-report scale tools were used to measure burnout, stress, anxiety, and depression in the intervention and control groups (Institutional Quality Improvement Registry no. 296, 2018). Changes in scores from baseline to postintervention were evaluated between groups. Forty-five staff, 21 in the control group and 24 in the intervention group, participated. Both groups at baseline had low prevalence of stress, anxiety, and depression (13% vs 36.8%, P = .11; 21.7% vs 52.6%, P = .17; 17.4% vs 26.3%, P = .48; respectively). Low rates of high emotional exhaustion, depersonalization, and low professional efficacy were observed for both groups (41.7% vs 35.0%, P = .65; 20.8% vs 15%, P = .71; 58.3% vs 50.0%, P = .58, respectively). Post-MBI, prevalence of depression, anxiety, stress, emotional exhaustion, and depersonalization remained low and similar between both groups. Notwithstanding, professional efficacy scores significantly improved in a between-group comparison (0.063 vs -0.25; P = .0336). We observed that burnout, stress, anxiety, and depression were remarkably low in our study relative to the literature. Implementation of the MBI faced many obstacles and had low compliance during participation. This presumably influenced results and should be addressed prior to any future intervention. Despite this, professional efficacy improved significantly. TRIAL REGISTRATION: Approved by MD Anderson Cancer Center Quality Improvement Registry (no. 296, 2018).

Whole-genome analysis to describe a human adenovirus D8 conjunctivitis outbreak in a tertiary hospital.

Conjunctivitis is a frequent ocular disorder caused by human adenoviruses (HAdVs). Only a few of the 45 HAdV-D species are associated with epidemic keratoconjunctivitis, including HAdV-D8. Nosocomial outbreaks due to HAdV-D8 have been rarely described, because keratoconjunctivitis cases are clinically diagnosed and treated without having to characterize the causative agent. Moreover, molecular typing is tedious when using classical techniques. In this study, a hospital outbreak of conjunctivitis caused by HAdV-D8 was characterized using the recently developed whole-genome sequencing (WGS) method. Of the 363 patients attending the Ophthalmology Department between July 13 and August 13, 2018, 36 may have acquired intrahospital conjunctivitis. Also, 11 of 22 samples sent to the Virology section were selected for WGS analysis. The WGS results revealed that 10 out of 11 HAdV-D8 strains were closely related. The remaining strain (Case 28) was more similar to a strain from an outbreak in Germany obtained from a public sequence database. WGS results showed that outbreak HAdV-D8 strains had a minimum percentage of identity of 94.3%. WGS is useful in a clinical setting, because it avoids carrying out viral culture or specific polymerase chain reaction sequencing. The public availability of sequence reads makes it easier to compare clusters in circulation. In conclusion, WGS can play an important role in standard routines to describe viral outbreaks.

Mapping the Patient-Oriented Prostate Utility Scale From the Expanded Prostate Cancer Index Composite and the Short-Form Health Surveys.

OBJECTIVES: This study aimed to develop mapping algorithms from the Expanded Prostate Cancer Index Composite (EPIC) and the Short-Form (SF) Health Surveys to the Patient-Oriented Prostate Utility Scale (PORPUS), an econometric instrument specifically developed for patients with prostate cancer. METHODS: Data were drawn from 2 cohorts concurrently administering PORPUS, EPIC-50, and SF-36v2. The development cohort included patients who had received a diagnosis of localized or locally advanced prostate cancer from 2017 to 2019. The validation cohort included men who had received a diagnosis of localized prostate cancer from 2014 to 2016. Linear regression models were constructed with ln(1 - PORPUS utility) as the dependent variable and scores from the original and brief versions of the EPIC and SF as independent variables. The predictive capacity of mapping models constructed with all possible combinations of these 2 instruments was assessed through the proportion of variance explained (R2) and the agreement between predicted and observed values. Validation was based on the comparison between estimated and observed utility values in the validation cohort. RESULTS: Models constructed with EPIC-50 with and without SF yielded the highest predictive capacity (R2 = 0.884, 0.871, and 0.842) in comparison with models constructed with EPIC-26 (R2 = 0.844, 0.827, and 0.776). The intraclass correlation coefficient was excellent in the 4 models (>0.9) with EPIC and SF. In the validation cohort, predicted PORPUS utilities were slightly higher than those observed, but differences were not statistically significant. CONCLUSIONS: Mapping algorithms from both the original and the abbreviated versions of the EPIC and the SF Health Surveys allow estimating PORPUS utilities for economic evaluations with cost-utility analyses in patients with prostate cancer.

Biomarkers and short-term prognosis in COVID-19.

PURPOSE: The aim of our study was to analyse the short-term prognostic value of different biomarkers in patients with COVID-19. METHODS: We included patients admitted to emergency department with COVID-19 and available concentrations of cardiac troponin I (cTnI), D-dimer, C-reactive protein (CRP) and lactate dehydrogenase (LDH). Patients were classified for each biomarker into two groups (low vs. high concentrations) according to their best cut-off point, and 30-day all-cause death was evaluated. RESULTS: After multivariate adjustment, cTnI ≥21 ng/L, D-dimer ≥1112 ng/mL, CRP ≥10 mg/dL and LDH ≥334 U/L at admission were associated with an increased risk of 30-day all-cause death (hazard ratio (HR) 4.30; 95% CI 1.74-10.58; p = 0.002; HR 3.35; 95% CI 1.58-7.13; p = 0.002; HR 2.25; 95% CI 1.13-4.50; p = 0.021; HR 2.00; 95% CI 1.04-3.84; p = 0.039, respectively). The area under the curve for cTnI was 0.825 (95% CI 0.759-0.892) and, in comparison, was significantly better than CRP (0.685; 95% CI 0.600-0.770; p = 0.009) and LDH (0.643; 95% CI 0.534-0.753; p = 0.006) but non-significantly better than D-dimer (0.756; 95% CI 0.674-0.837; p = 0.115). CONCLUSIONS: In patients with COVID-19, increased concentrations of cTnI, D-dimer, CRP and LDH are associated with short-term mortality. Of these, cTnI provides better mortality risk prediction. However, differences with D-dimer were non-significant.

Candidemia Diagnosis With T2 Nuclear Magnetic Resonance in a PICU: A New Approach.

OBJECTIVES: Early diagnosis of invasive Candida infections is a challenge for pediatricians, intensivists, and microbiologists. To fill this gap, a new nanodiagnostic method has been developed using manual application of T2 nuclear magnetic resonance to detect Candida species. The aim of this study was to evaluate, prospectively, the usefulness as a tool diagnosis of the T2Candida panel in pediatric patients admitted at the PICU compared with blood culture. DESIGN: This is a prospective, observational, and unicentric study to compare T2Candida results with simultaneous blood cultures for candidemia diagnose. SETTING: This study was carried out in a 1,300-bed tertiary care hospital with a 16-bed medical-surgical PICU. PATIENTS: Sixty-three patients from 0 to 17 years old were enrolled in this study, including those undergoing solid organ transplantation (kidney, liver, pulmonary, multivisceral, intestinal, and heart) and hematopoietic stem cell transplantation. MEASUREMENTS AND MAIN RESULTS: Seven patients were positive by the T2Candida test. Only two of them had the simultaneous positive blood culture. T2Candida yielded more positive results than blood cultures. CONCLUSIONS: T2Candida might be useful for the diagnosis of candidemia in PICUs. The prevalence of candidemia might be underestimated in this pediatric population. The use of this diagnostic tool in these units may help clinicians to start adequate and timely antifungal treatments.

Survival in small choroidal melanocytic lesions with risk factors managed by initial observation until detection of tumour growth.

BACKGROUND: The main objective was to describe metastatic and survival rates in patients with small choroidal melanocytic lesions initially managed by observation. METHODS: Retrospective, observational study of consecutive cases recruited from 2001 through 2018, followed for a median (mean, range) of 81.0 (89.3, 10-204) months in a tertiary referral centre for ocular oncology. Seventy-five consecutive patients diagnosed with small choroidal melanocytic lesions with risk factors for growth initially observed and who showed progression during follow-up. Treatment was performed (plaque radiotherapy or enucleation in 96% and 4% of cases, respectively) at detection of tumour growth. RESULTS: Median (mean, range) tumour thickness was 2.2 (2.23, 1.08-3.40) mm, and median maximum basal diameter was 8.5 (8.16, 4-12) mm. At diagnosis, a median (mean, range) of 5 (5.48, 1-8) risk factors for progression were present. Lesions grew at a median (mean, range) rate of 0.42 mm/y (1.12, 0-7.68) in thickness and 1.05 mm/y (3.14, 0-4.8) in maximum diameter. Median (mean, range) time until growth was 17.00 (32.6, 1-161) months post-diagnosis, at which time tumours were treated. Five patients developed local recurrence after brachytherapy requiring enucleation. Four patients developed hepatic metastasis. Melanoma-specific survival was 98% at 5 years (95% CI, 94.2-100%) and 91.6% (95% CI, 82-100%) at 10 and 15 years. CONCLUSION: In small melanocytic lesions with risk factors for growth, initial observation until detection of tumour growth results in a seemingly low risk of metastasis, suggesting that this may be an initial approach to consider in tumours with indeterminate malignant potential.

Semi-Supervised Anomaly Detection in Video-Surveillance Scenes in the Wild.

Surveillance cameras are being installed in many primary daily living places to maintain public safety. In this video-surveillance context, anomalies occur only for a very short time, and very occasionally. Hence, manual monitoring of such anomalies may be exhaustive and monotonous, resulting in a decrease in reliability and speed in emergency situations due to monitor tiredness. Within this framework, the importance of automatic detection of anomalies is clear, and, therefore, an important amount of research works have been made lately in this topic. According to these earlier studies, supervised approaches perform better than unsupervised ones. However, supervised approaches demand manual annotation, making dependent the system reliability of the different situations used in the training (something difficult to set in anomaly context). In this work, it is proposed an approach for anomaly detection in video-surveillance scenes based on a weakly supervised learning algorithm. Spatio-temporal features are extracted from each surveillance video using a temporal convolutional 3D neural network (T-C3D). Then, a novel ranking loss function increases the distance between the classification scores of anomalous and normal videos, reducing the number of false negatives. The proposal has been evaluated and compared against state-of-art approaches, obtaining competitive performance without fine-tuning, which also validates its generalization capability. In this paper, the proposal design and reliability is presented and analyzed, as well as the aforementioned quantitative and qualitative evaluation in-the-wild scenarios, demonstrating its high sensitivity in anomaly detection in all of them.

Smart Video Surveillance System Based on Edge Computing.

New processing methods based on artificial intelligence (AI) and deep learning are replacing traditional computer vision algorithms. The more advanced systems can process huge amounts of data in large computing facilities. In contrast, this paper presents a smart video surveillance system executing AI algorithms in low power consumption embedded devices. The computer vision algorithm, typical for surveillance applications, aims to detect, count and track people's movements in the area. This application requires a distributed smart camera system. The proposed AI application allows detecting people in the surveillance area using a MobileNet-SSD architecture. In addition, using a robust Kalman filter bank, the algorithm can keep track of people in the video also providing people counting information. The detection results are excellent considering the constraints imposed on the process. The selected architecture for the edge node is based on a UpSquared2 device that includes a vision processor unit (VPU) capable of accelerating the AI CNN inference. The results section provides information about the image processing time when multiple video cameras are connected to the same edge node, people detection precision and recall curves, and the energy consumption of the system. The discussion of results shows the usefulness of deploying this smart camera node throughout a distributed surveillance system.

Critical Care Management of Toxicities Associated With Targeted Agents and Immunotherapies for Cancer.

OBJECTIVES: To describe the most common serious adverse effects and organ toxicities associated with emerging therapies for cancer that may necessitate admission to the ICU. DATA SOURCES AND STUDY SELECTION: PubMed and Medline search of relevant articles in English on the management of adverse effects of immunotherapy for cancer. DATA EXTRACTION AND DATA SYNTHESIS: Targeted therapies including tyrosine kinase inhibitors, monoclonal antibodies, checkpoint inhibitors, and immune effector cell therapy have improved the outcome and quality of life of patients with cancer. However, severe and life-threatening side effects can occur. These toxicities include infusion or hypersensitivity reactions, cytokine release syndrome, pulmonary, cardiac, renal, hepatic, and neurologic toxicities, hemophagocytic lymphohistiocytosis, opportunistic infections, and endocrinopathies. Cytokine release syndrome is the most common serious toxicity after administration of monoclonal antibodies and immune effector cell therapies. Most of the adverse events from immunotherapy results from an exaggerated T-cell response directed against normal tissue, resulting in the generation of high levels of proinflammatory cytokines. Toxicities from targeted therapies are usually secondary to "on target toxicities." Management is largely supportive and may include discontinuation of the specific agent, corticosteroids, and other immune suppressing agents for severe (grade 3 or 4) immune-related adverse events like neurotoxicity and pneumonitis. CONCLUSIONS: The complexity of toxicities associated with modern targeted and immunotherapeutic agents for cancer require a multidisciplinary approach among ICU staff, oncologists, and organ specialists and adoption of standardized treatment protocols to ensure the best possible patient outcomes.

How Do Treatment Priorities Differ Between Patients in HIV Care and Their Providers? A Mixed-Methods Study.

Evidence suggests priorities differ between patients in HIV care and their providers regarding topics most important to address in care. At five U.S. sites, we asked patients and providers to prioritize 25 potential topic areas to address during routine visits, and invited patients to discuss selection rationale. Patients (n = 206) and providers (n = 17) showed high discordance in rank order priorities (X2 (24, 223) = 71.12; p < 0.0001). Patients ranked social domains such as HIV stigma highly; a higher proportion of providers prioritized substance use domains. HIV stigma was a higher priority for patients in care fewer than 6 years (Fisher's exact p = 0.0062), nonwhite patients (Fisher's exact p = 0.0114), and younger patients (Fisher's exact p = 0.0281). Patients' priorities differed between men and women (X2 (24, 188) = 52.89; p < 0.0001), white race vs. other races (X2 (24, 206) = 48.32; p = 0.0023), and Latinos vs. non-Latinos (X2 (24, 206) = 48.65; p = 0.0021). Interviews (n = 79) revealed perceived impact of social context on health and health behaviors.