Food Processing Waste in Vietnam: Utilization and Prospects in Food Industry for Sustainability Development

Vietnam is a country that produces a variety of agricultural products, including vegetables, tubers, fruits, and processed products. Along with the increase in population, the demand for consumers also increases, and the by-products of farming are increasing and being discharged into the environment. This is one of the critical research issues that need to be solved to ensure sustainability in agriculture. This review summarized recent studies on familiar sources of by-products in Vietnam, such as banana peels, citrus peels, dragon fruit skins, rice bran, and rice husks, and their potential in the food industry. Some solutions are also proposed to solve and turn this low-value raw material into a high-value product and serve a variety of products and consumers in the food industry. Especially after the COVID19 pandemic, the by-products contain valuable and reusable biological resources. These compounds could be future applications to support improving the consumer's immune system and various health benefits. Processed and utilized by-products from food production could not only help increase incomes for farmers, especially in developing countries like Vietnam but also could aid in ensuring food security and sustainability in agricultural production.

Physiological Metrics Collected from Wearable Devices Identify Inflammatory and Clinical Inflammatory Bowel Disease Flares

BACKGROUND: Inflammatory bowel disease (IBD) flares are common and unpredictable. Disease monitoring relies on symptom reporting or single timepoint assessments of stool, blood, imaging, or endoscopy-these are inconvenient and invasive and do not always reflect the patient perspective. Advances in wearable technology allow for passive, continuous and non-invasive assessment of physiological metrics including heart rate variability (HRV), the measure of small time differences between each heartbeat, a marker of autonomic nervous system function. Our group has previously demonstrated that changes in autonomic function precedes an IBD flare, can predict psychological state transitions and even identify inflammatory events including SARS-CoV-2 infection. To develop algorithms that can predict IBD flares using wearable device signatures, we launched a national wearable device study called The IBD Forecast study. To assess data quality and feasibility, the first 125 Apple Watch users to enroll were evaluated. METHOD(S): The IBD Forecast study is a prospective cohort study enrolling anyone >=18 years of age in the United States (US) with IBD who is willing to (1) use a commercially available wearable device, (2) download our custom eHive app and (3) answer daily survey questions. HRV metrics (mean of the standard deviations of all the NN intervals [SDNN]) were analyzed using a mixed-effect cosigner model that incorporated body mass index, age, and sex. SDNN is a time domain HRV index that reflects both sympathetic and parasympathetic nervous system activity and is calculated from the variance of intervals between adjacent QRS complexes (the normal-to-normal [NN] intervals). Clinical flare was assessed with daily Patient Reported Outcome (PRO)-2 surveys (flare;PRO-2 Crohn's disease >7, PRO-2 ulcerative colitis >2). Inflammatory flare was assessed via patient reported C-reactive protein (CRP), with inflammatory flare defined as >5 mg/L. RESULT(S): The first 125 study participants were enrolled across 29 states in the US (Table 1). Circadian features of changes of HRV were modelled (Figure 1). The mesor, or midline of the circadian pattern of the SDNN was higher in those with clinical flare (mean 44.43;95% CI 41.25-47.75) compared to those in clinical remission (mean 43.03;95% CI 39.94-46.22) (p<0.004). The mesor of the circadian pattern of the SDNN was lower in those with an inflammatory flare (mean 38.16;95% CI 30.86-45.72) compared to those with normal inflammatory markers (mean 49.51;95% CI 43.12-56.26) (p<0.001). CONCLUSION(S): Longitudinally collected HRV metrics from a commonly worn commercial wearable device can identify symptomatic and inflammatory flares. This preliminary analysis of a small proportion of the IBD Forecast Study cohort demonstrates the feasibility of using wearable devices to identify, and may potentially predict, IBD flares. [Formula presented] [Formula presented]Copyright © 2023

The effect of a positive result of Covid PCR test in an asymptomatic pregnant mother on the weight and Apgar score of infants after birth.

Introduction: The lack of information about the impact of Covid-19 on pregnancy and the increased side-effects of the disease for pregnant mothers and fetuses showed the importance of investigating its impact on pregnancy and neonate. The present study was performed with aim to investigate the impact of positive test result of PCR on the weight and Apgar scores of infants. Method(s): In this analytical study (retrospective cohort), sampling was conducted by examining the files of 98 pregnant women who gave birth between April 2020 and September 2021 using the apple system which were covered by health care centers located in Isfahan province. The information obtained from the comparison of two groups of mothers based on the results of the PCR test was analyzed by SPSS software (version 18) and Independent t-test. P<0.05 was considered statistically significant. Result(s): Among the examined files, 50 cases (51%) had a positive PCR test and 48 cases (49%) had a negative PCR test. 99% of the infants had an Apgar score of >=7. According to the results of Independent t-test, no significant difference was found between the Apgar score at minute 1 (p=0.714) and minute 5 (p=0.580) of the infants of PCR+ and PCR- mothers. Also, According to the results of Independent t-test, no significant difference was found between the weight of newborns in mothers of two groups (p=0.112). Conclusion(s): The positive PCR test result has no significant relationship with the weight and the Apgar-score of the 1st and 5th minute of the newborn. Research on the effects of COVID-19 infection during pregnancy continues to be completed and updated. Further research with more samples can better show the possible complications of this disease.Copyright © 2023, Mashhad University of Medical Sciences. All rights reserved.

The effect of a positive result of Covid PCR test in an asymptomatic pregnant mother on the weight and Apgar score of infants after birth.

Introduction: The lack of information about the impact of Covid-19 on pregnancy and the increased side-effects of the disease for pregnant mothers and fetuses showed the importance of investigating its impact on pregnancy and neonate. The present study was performed with aim to investigate the impact of positive test result of PCR on the weight and Apgar scores of infants. Method(s): In this analytical study (retrospective cohort), sampling was conducted by examining the files of 98 pregnant women who gave birth between April 2020 and September 2021 using the apple system which were covered by health care centers located in Isfahan province. The information obtained from the comparison of two groups of mothers based on the results of the PCR test was analyzed by SPSS software (version 18) and Independent t-test. P<0.05 was considered statistically significant. Result(s): Among the examined files, 50 cases (51%) had a positive PCR test and 48 cases (49%) had a negative PCR test. 99% of the infants had an Apgar score of >=7. According to the results of Independent t-test, no significant difference was found between the Apgar score at minute 1 (p=0.714) and minute 5 (p=0.580) of the infants of PCR+ and PCR- mothers. Also, According to the results of Independent t-test, no significant difference was found between the weight of newborns in mothers of two groups (p=0.112). Conclusion(s): The positive PCR test result has no significant relationship with the weight and the Apgar-score of the 1st and 5th minute of the newborn. Research on the effects of COVID-19 infection during pregnancy continues to be completed and updated. Further research with more samples can better show the possible complications of this disease.Copyright © 2023, Mashhad University of Medical Sciences. All rights reserved.

Goshpods: Paediatric Educational Podcast Series from Great Ormond Street Hospital

Background Podcasts are a popular way to engage people in education. Flexibility and ease of accessibility are some of the key advantages of this media. In this oral presentation we describe the process of recording and publishing paediatric educational podcasts across several different platforms including our assurance processes to ensure content is accurate and up to date. Methods Subject matter experts (SME) for the MRCPCH release of GOSHPODS are senior clinicians at GOSH. The titles for this series of podcasts was chosen by alignment with the MRCPCH syllabus. A second SME reviewed each podcast's content. Podcasts were released across a multitude of platforms including Soundcloud Spotify Apple and GOSH Digital Education Network. Results From October 2020 to May 2021 the total numbers of podcast plays and starts was 1,928 across 35 countries. An average of 241 plays per month. The top three countries were the United Kingdom United States of America and Malaysia. A female audience predominated at 60%. The most popular listener age range was across 28-34 year olds. Ethics and Neurology streams were the most popular content and the most popular platform was Spotify. Discussion We have demonstrated the wide reach of GOSHPODS across 35 countries as a means to communicate education with listeners during the COVID-19 pandemic. The continued increase in listeners indicates a growing desire for educational materials in this format. The female predominance of our audience aligns with the current female predominance in the medical professions. Conclusion GOSHPODS have further enabled the GOSH Learning Academy to disseminate education globally and to a diverse audience. The next steps in progressing this project are to gain additional feedback on releases so as to continue to grow our audience and measure the effect on confidence in knowledge and application to clinical practice.

Smartphone Built-in Features: Do They Help Our Diabetic Patients?

Objective: To evaluate the pre-set features of smartphones and the inclusion of ADCES7 guidelines for Diabetes self-care during the COVID-19 era. Method(s): The pre-loaded applications of the iPhone 13 and Samsung S22 Ultra were tested with the ADCES7 parameters: 1) Healthy eating, 2) Being Active, 3) Monitoring, 4) Taking Medication, 5) Problem Solving, 6 )Healthy coping, 7) Reducing Risks. We evaluated the smartphones for the following subcategorties of the ADCES7 parameters: 1a) Nutrition, 1b) Calorie-counting;2a) Step-counting, 2b) Calorie-burning, 3a): Blood pressure, 3b) Blood glucose, 3c) HbA1c, 3d) Weight, 3e) Push notification, 4a) Med Log, 5a) Contact healthcare team, 5b) Contact family;6a) Mental health outreach, 7a) Goal-Setting, 7b) Graph analysis. We added additional categories 8) Insulin pumps and 9) Language. Result(s): 1. Nutrition facts= Apple(Yes), Samsung(No);2. Calorie counting= Apple(Yes), Samsung(Yes);3. Step counting= Apple(Yes), Samsung(Yes);4. Calorie Burning= Apple(No), Samsung(Yes);5. Monitoring BP= Apple(No). Samsung(Yes);6. Monitoring Blood Glucose= Apple(No), Samsung(Yes);7. Monitoring HbA1c= Apple(No), Samsung(Yes);8. Weight Monitoring= Apple(Yes), Samsung(Yes);9. Push Notifications and Med Reminders= Apple(Yes), Samsung(Yes);10. Goal setting= Apple(No), Samsung(Yes);11. Med Log= Apple(No), Samsung(Yes);12. Facetime, Samsung Video Call= Apple(Yes), Samsung(Yes);13. Healthy Coping= Apple(No), Samsung(No);14. Goal Setting for Steps= Apple(No), Samsung(Yes);15. Graph Analysis= Apple(Yes), Samsung(Yes);16. Insulin pumps= Apple(No), Samsung(No);17. Foreign languages= Apple(46), Samsung(187) Samsung provides more ADCES7 parameters and more language options than Apple. Conclusion(s): The smartphones have internal resources for patients to self-manage their Diabetes Mellitus. As MDs, we can continue to partner with our patients for diabetes management during COVID-19 and beyond.

Associations Between Mobility Indices and the COVID-19 Pandemic in Thailand

This study aims to examine the associations between the Coronavirus disease 2019 (COVID-19) pandemic and alternative indicators. Specifically, Apple mobility index, Google community mobility index, and Nighttime-light (NTL) data are used for empirical analyses using ordinary least squares (OLS) and panel regressions as research methods. Results produced by OLS models show that Apple's subcategory of driving activity and Google's subcategory of visiting transit places are negatively associated with the number of COVID-19 cases. To extend the spatiotemporal details of this analysis, we formulate the panel data by integrating the monthly provincial indicators of Apple mobility index, NTL index, and the COVID-19 infected cases. Both fixed- and random-effects panel regression models indicate that Apple's driving and walking mobility subcategories are negatively associated with the COVID-19 infected cases. By contrast, the relationship between the NTL index and the intensity of the COVID-19 outbreak is inconclusive. These findings suggest that Apple's mobility index can be applied as an alternative and timely indicator of economic activity, particularly for observing the near real-time intensity of mobility and transportation volume. In addition, these findings can serve as a resource for developing spatial models for urban planning and geographical impacts. © 2022 The authors.

Physiological Metrics Collected from Wearable Devices Identify Inflammatory and Clinical Inflammatory Bowel Disease Flares

BACKGROUND: Inflammatory bowel disease (IBD) flares are common and unpredictable. Disease monitoring relies on symptom reporting or single timepoint assessments of stool, blood, imaging, or endoscopy-these are inconvenient and invasive and do not always reflect the patient perspective. Advances in wearable technology allow for passive, continuous and non-invasive assessment of physiological metrics including heart rate variability (HRV), the measure of small time differences between each heartbeat, a marker of autonomic nervous system function. Our group has previously demonstrated that changes in autonomic function precedes an IBD flare, can predict psychological state transitions and even identify inflammatory events including SARS-CoV-2 infection. To develop algorithms that can predict IBD flares using wearable device signatures, we launched a national wearable device study called The IBD Forecast study. To assess data quality and feasibility, the first 125 Apple Watch users to enroll were evaluated. METHOD(S): The IBD Forecast study is a prospective cohort study enrolling anyone >=18 years of age in the United States (US) with IBD who is willing to (1) use a commercially available wearable device, (2) download our custom eHive app and (3) answer daily survey questions. HRV metrics (mean of the standard deviations of all the NN intervals [SDNN]) were analyzed using a mixed-effect cosigner model that incorporated body mass index, age, and sex. SDNN is a time domain HRV index that reflects both sympathetic and parasympathetic nervous system activity and is calculated from the variance of intervals between adjacent QRS complexes (the normal-to-normal [NN] intervals). Clinical flare was assessed with daily Patient Reported Outcome (PRO)-2 surveys (flare;PRO-2 Crohn's disease >7, PRO-2 ulcerative colitis >2). Inflammatory flare was assessed via patient reported C-reactive protein (CRP), with inflammatory flare defined as >5 mg/L. RESULT(S): The first 125 study participants were enrolled across 29 states in the US (Table 1). Circadian features of changes of HRV were modelled (Figure 1). The mesor, or midline of the circadian pattern of the SDNN was higher in those with clinical flare (mean 44.43;95% CI 41.25-47.75) compared to those in clinical remission (mean 43.03;95% CI 39.94-46.22) (p<0.004). The mesor of the circadian pattern of the SDNN was lower in those with an inflammatory flare (mean 38.16;95% CI 30.86-45.72) compared to those with normal inflammatory markers (mean 49.51;95% CI 43.12-56.26) (p<0.001). CONCLUSION(S): Longitudinally collected HRV metrics from a commonly worn commercial wearable device can identify symptomatic and inflammatory flares. This preliminary analysis of a small proportion of the IBD Forecast Study cohort demonstrates the feasibility of using wearable devices to identify, and may potentially predict, IBD flares. (Table Presented).

Accuracy of the Apple Watch Oxygen Saturation Measurement in Adults: A Systematic Review.

The purpose of this review is to summarize the research on the accuracy of oxygen saturation (spO2) measurements using the Apple Watch (Apple Inc., Cupertino, California). The Medline and Google Scholar databases were searched for papers evaluating the spO2 measurements of the Apple Watch vs. any kind of ground truth and records were analyzed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The five publications with 973 total patients that met the inclusion criteria all used the Apple Watch Series 6 and described 95% limits of agreement of +/- 2.7 to 5.9% spO2. However, outliers of up to 15% spO2 were reported. Only one study had patient-level data uploaded to a public repository. The Apple Watch Series 6 does not show a strong systematic bias compared to conventional, medical-grade pulse oximeters. However, outliers do occur and should not cause concern in otherwise healthy individuals. The impact of race on measurement accuracy should be investigated.

Do the Right Thing: A Privacy Policy Adherence Analysis of over Two Million Apps in Apple iOS App Store.

Mobile app developers are often obliged by regulatory frameworks to provide a privacy policy in natural comprehensible language to describe their apps' privacy practices. However, prior research has revealed that: (1) not all app developers offer links to their privacy policies; and (2) even if they do offer such access, it is difficult to determine if it is a valid link to a (valid) policy. While many prior studies looked at this issue in Google Play Store, Apple App Store, and particularly the iOS store, is much less clear. In this paper, we conduct the first and the largest study to investigate the previous issues in the iOS app store ecosystem. First, we introduce an App Privacy Policy Extractor (APPE), a system that embraces and analyses the metadata of over two million apps to give insightful information about the distribution of the supposed privacy policies, and the content of the provided privacy policy links, store-wide. The result shows that only 58.5% of apps provide links to purported privacy policies, while 39.3% do not provide policy links at all. Our investigation of the provided links shows that only 38.4% of those links were directed to actual privacy policies, while 61.6% failed to lead to a privacy policy. Further, for research purposes we introduce the App Privacy Policy Corpus (APPC-451K); the largest app privacy policy corpus consisting of data relating to more than 451K verified privacy policies.

The Apple Mobility Trends Data in Human Mobility Patterns during Restrictions and Prediction of COVID-19: A Systematic Review and Meta-Analysis.

The objective of this systematic review with PRISMA guidelines is to discover how population movement information has epidemiological implications for the spread of COVID-19. In November 2022, the Web of Science and Scopus databases were searched for relevant reports for the review. The inclusion criteria are: (1) the study uses data from Apple Mobility Trends Reports, (2) the context of the study is about COVID-19 mobility patterns, and (3) the report is published in a peer-reviewed venue in the form of an article or conference paper in English. The review included 35 studies in the period of 2020-2022. The main strategy used for data extraction in this review is a matrix proposal to present each study from a perspective of research objective and outcome, study context, country, time span, and conducted research method. We conclude by pointing out that these data are not often used in studies and it is better to study a single country instead of doing multiple-country research. We propose topic classifications for the context of the studies as transmission rate, transport policy, air quality, re-increased activities, economic activities, and financial markets.

Exploring pillars of supply chain competitiveness: insights from leading global supply chains

This paper aims to explore key pillars of supply chain competitiveness (SCC) and understand how top supply chains remain competitive in the long term. The research design is divided into two phases. First, an extensive review of the scholarly SCC literature is conducted to identify the core pillars that help achieve SCC. Second, the literature published in practitioner outlets on the five selected companies of Gartner's Supply Chain Top 25 is scrutinized to understand how top supply chains apply the core pillars of SCC in practice. A total of 193 scientific and practitioner articles were analyzed to develop the key pillars of SCC. This study identified six key pillars of SCC in the literature: innovation, sustainability, collaboration, information technology, agility, and flexibility. It has been found that a combination of these pillars, if not all, will be required to remain competitive in the post-COVID-19 era.

To lockdown or not to lockdown: Analysis of the EU lockdown performance vs. COVID-19 outbreak.

The worldwide COVID-19 outbreak has dramatically called for appropriate responses from governments. Scientists estimated both the basic reproduction number and the lethality of the virus. The former one depends on several factors (environment and social behavior, virus characteristics, removal rate). In the absence of specific treatments (vaccine, drugs) for COVID-19 there was a limited capability to control the likelihood of transmission or the recovery rate. Therefore, to limit the expected exponential spread of the disease and to reduce its consequences, most national authorities have adopted containment strategies that are mostly focused on social distancing measures. In this context, we performed an analysis of the effects of government lockdown policies in 5 European Countries (France, Germany, Italy, Spain, United Kingdom). We used phone mobility data, published by Apple Inc. and Google, as an indirect measure of social distancing over time since we believe they represent a good approximation of actual changes in social behaviors. (i) The responsiveness of the governments in taking decisions. (ii) The coherence of the lockdown policy with changes in mobility data. (iii) The lockdown implementation performance in each country. (iv) The effects of social distancing on the epidemic evolution. These data were first analyzed in relation with the evolution of political recommendations and directives to both assess (i) responsiveness of governments in taking decisions and (ii) the implementation performance in each country. Subsequently, we used data made available by John Hopkins University in the attempt to compare changes in people behaviors with the evolution of COVID-19 epidemic (confirmed cases, new and cumulative) in each country in scope. Finally, we made an attempt to identify some key lockdown performance parameters in order to: (i) establish responsiveness, efficiency and effectiveness of the lockdown measures. (ii) model the latency occurring between the changes in social behaviors and the changes in growth rate of the disease.

Significance and importance of fruits in strengthening immune system during COVID-19

The outbreak of COVID-19 in 2019 followed by its new variants till now in 2021, made it more necessary to find more identify effective antiviral agents to be included in daily life to combat SARS-CoV-2 and support vaccines and their effect. Fruits are always considered good for health and many studies are trying to find the solution and different compounds with antiviral properties in fruits. Recently, many in vivo and docking studies found many phytochemical compounds effective against COVID-19. In this review, we tried to collect data from different studies. We found that fruits are most valuable gift with great healing property.

The Trilogy of the Chinese Apple Futures Market: Price Discovery, Risk-Hedging and Cointegration

The agricultural futures market plays an extremely important role in price discovery, hedging risks, integrating agricultural markets and promoting agricultural economic growth. China is the largest apple producer and consumer in the world. In 2017, Chinese apple futures were listed on the Zhengzhou Commodity Exchange (CZCE) as the first fruit futures contract globally. This paper aims to study the efficiency of the apple futures market by using the Wild Bootstrapping Variance Ratio model to estimate the price discovery function, the ARIMA-GARCH model to estimate the risk-hedging function, and the ARDL-ECM model to estimate the cointegration relationship of the futures and spot market. Experimental results firstly demonstrate that the apple futures market conforms to the weak-form efficiency, which indicates that it is efficient in price discovery. Secondly, the apple futures market is not of semi-strong efficiency because it generated abnormal profit margins amid China–US trade friction, climate disaster, and COVID-19;in terms of the degree of impact, the COVID-19 pandemic had the greatest impact, followed by the rainstorm disaster and trade friction. Thirdly, the results of this study indicate that the cointegration relationships exist between the futures market and the spot markets of the main producing areas. This paper is not only conducive to sustainable development of the global fresh or fruit futures market, but also has potential and practical importance for China in developing the agricultural futures market, strengthening market risk management and promoting market circulation.

2022 iOS Apps and COVID-19: Can They Help Our Eye Patients?

Purpose : 85% of US adults have a smartphone with 87 million people using a health or wellness app monthly in 20201. There are 350,000 eHealth apps2. Roughly 33M adults in the US have the chief complaint of vision loss. An estimated 93M are at high risk for serious visual impairment3 . Only half have visited an eye doctor in the past 12 months, due to COVID 193. American adults over the age of 18 fall into the demographic of mobile app users. Do free apps help our eye patients during this pandemic? Methods : We used the search terms “vision test” and “eye exam” in the Apple App Store to compile a list of the top 10 free apps. We looked for how many free apps have eye charts that are “recognized” such as Snellen chart, Landolt C, LogMAR chart, Amsler grid & Visual Field. Control: Inclusion criteria: 1) free;2) English language;3) ≥50 reviews, ≥4 star rating in the Apple App store. Exclusion criteria: 1) foreign languages 2) paid apps. Results : Results: Top 10 iOS apps (from most downloads to least) in the Apple App Store seen in Table 1. For all iOS apps, Snellen vision test: 9/10;Landolt C: 1/10;LogMAR chart: 3/10;Amsler grid: 3/10;Visual field 1/10. Only 1 app connected you with a local optometrist or ophthalmologist. Only 3/10 apps had >1K reviews. iOS apps do not provide a number of downloads. Conclusions : Although many adults have not received an eye exam over the past 12 months, physicians can still connect with their patients through public education with the use of mobile apps. However, current eHealth apps can improve their content for eye patients.

PET-derived parameters for response assessment in neoadjuvant atezolizumab: A secondary analysis of PRINCEPS phase II trial

Background: Immune Checkpoint Blockade (ICB) is moving from metastatic to curative setting in different diseases including NSCLC. While for metastatic disease radiological endpoints are currently the standard surrogate marker of benefit from ICBs, based on RECIST or PERCIST criteria, in neoadjuvant setting they often underestimate the response and then pathological response (PR) criteria were developed to evaluate Major PR (MPR), defined as ≤10% viable tumor cells after neoadjuvant treatment, and PR, defined as less than 50% residual tumor cells. Anyway, a non-invasive approach to determine the response to treatment is still an unmet need. Methods: PRINCEPS was a phase 2 clinical trial including limited-stage (IB-IIIA) NSCLC patients who received one administration of atezolizumab before surgery. 18-F FDG PET was performed within 28 days and after 15-22 days from atezolizumab. Surgery was performed at day 22-29 from atezolizumab. PET derived parameters including MTV and TLG was extracted by experienced nuclear physicians. Results: 30 patients were enrolled, all received A and underwent surgical resection after a median of 23 days. MPR was identified in 4, pPR in 8 tumors. Paired PET were available for 28 pts. Mean time from A to PET was 18 days (IQR 3.5). Total TLG and MTV reduction was not correlated with percentage of pPR (p=0.117 and p=0.843, respectively). Reduction of MTV (Pearson correlation 0.509, p=0.006) and TLG (Pearson correlation 0.562, p=0.002) in the primary tumor were strongly correlated with pPR, while no correlation was observed between percentage of pPR and variation in tumor diameters by RECIST criteria (-0.24, p=0.2) nor metabolic response (-0.12, p=0.55). The appearance of metabolically active hilar and mediastinal, non-pathological lymph nodes (LN) was noted in 12/28 patients, and specifically in. 2 out of 4 MPR and 5 out of 8 pPR. A trend toward an higher pPR was observed with LN appearance (mean 52% reduction in pts with LN appearance vs 29% without, p 0.061), probably reflecting immune activation. LN appearance was associated with hyperplasia and histiocytosis in resected, non-metastatic LNs. Conclusions: PET is able to early detect tumor response in localized NSCLC patients treated with ICBs in neoadjuvant setting. Clinical trial identification: NCT02994576. Legal entity responsible for the study: Institut Gustave Roussy. Funding: Roche. Disclosure: N. Chaput-Gras: Financial Interests, Personal, Advisory Board, Strong-Iopredi Scientific Advisory Board: AstraZeneca;Financial Interests, Institutional, Invited Speaker, Educational Session On Immune Cell Death: Servier;Financial Interests, Institutional, Expert Testimony, Expertise On Immune Cell Death Biomarkers: Servier;Financial Interests, Personal, Invited Speaker: Cytune Pharma;Financial Interests, Institutional, Research Grant, Research grant to identify immune biomarkers associated to clinical response in patients treated with agonistic mAbs: GSK;Financial Interests, Institutional, Research Grant, Preclinical studies in mice: GSK;Financial Interests, Institutional, Research Grant, Immune profiling of Head & Neck tumors: Sanofi. D. Planchard: Financial Interests, Personal, Advisory Board: AstraZeneca, BMS, Merck, Novartis, Pfizer, Roche, Samsung, Celgene, AbbVie, Daiichi Sankyo, Janssen;Financial Interests, Personal, Invited Speaker: AstraZeneca, Novartis, Pfizer, priME Oncology, Peer CME, Samsung, AbbVie, Janssen;Non-Financial Interests, Principal Investigator, Institutional financial interests: AstraZeneca, BMS, Merck, Novartis, Pfizer, Roche, Daiichi Sankyo, Sanofi-Aventis, Pierre Fabre;Non-Financial Interests, Principal Investigator: AbbVie, Sanofi, Janssen. L. Mezquita: Financial Interests, Personal, Advisory Board: Takeda, AstraZeneca, Roche;Financial Interests, Personal, Invited Speaker: Roche, BMS, AstraZeneca, Takeda;Financial Interests, Personal, Research Grant, SEOM Beca Retorno 2019: BI;Financial Interests, Personal, Research Grant, ESMO TR Research Fellowship 2019: BMS;Financial Interests, Institutional, Resea ch Grant, COVID research Grant: Amgen;Financial Interests, Institutional, Invited Speaker: Inivata, Stilla. J. Remon Masip: Financial Interests, Personal, Invited Speaker: Roche, Pfizer, MSD, Boehringer-Ingelheim;Financial Interests, Personal, Advisory Board: AstraZeneca, BMS, Janssen, Takeda, Sanofi;Financial Interests, Personal, Expert Testimony: Ose Immunotherapeutics;Non-Financial Interests, Principal Investigator, PI of PECATI trial in Thymic malignancies endorsed by a grant by MSD: MSD;Non-Financial Interests, Other, Co-PI of APPLE trial (EORTC-1525): AstraZeneca. F. Barlesi: Financial Interests, Personal, Advisory Board: AstraZeneca, Bayer, Bristol Myers Squibb, Boehringer Ingelheim, Eli Lilly Oncology, F. Hoffmann–La Roche Ltd, Novartis, Merck, Mirati, MSD, Pierre Fabre, Pfizer, Sanofi Aventis, Seattle Genetics, Takeda;Non-Financial Interests, Principal Investigator: AstraZeneca, BMS, Merck, Pierre Fabre, F. Hoffmann-La Roche Ltd. B. Besse: Financial Interests, Institutional, Funding: 4D Pharma, AbbVie, Amgen, Aptitude Health, AstraZeneca, BeiGene, Blueprint Medicines, Boehringer Ingelheim, Celgene, Cergentis, Cristal Therapeutics, Daiichi-Sankyo, Eli Lilly, GSK, Janssen, Onxeo, OSE Immunotherapeutics, Pfizer, Roche-Genentech, Sanofi, Takeda, Tolero Pharmaceuticals;Financial Interests, Institutional, Research Grant: Chugai Pharmaceutical, Eisai, Genzyme Corporation, Inivata, Ipsen, Turning Point Therapeutics. All other authors have declared no conflicts of interest.

The Apple Watch for Monitoring Mental Health-Related Physiological Symptoms: Literature Review.

BACKGROUND: An anticipated surge in mental health service demand related to COVID-19 has motivated the use of novel methods of care to meet demand, given workforce limitations. Digital health technologies in the form of self-tracking technology have been identified as a potential avenue, provided sufficient evidence exists to support their effectiveness in mental health contexts. OBJECTIVE: This literature review aims to identify current and potential physiological or physiologically related monitoring capabilities of the Apple Watch relevant to mental health monitoring and examine the accuracy and validation status of these measures and their implications for mental health treatment. METHODS: A literature review was conducted from June 2021 to July 2021 of both published and gray literature pertaining to the Apple Watch, mental health, and physiology. The literature review identified studies validating the sensor capabilities of the Apple Watch. RESULTS: A total of 5583 paper titles were identified, with 115 (2.06%) reviewed in full. Of these 115 papers, 19 (16.5%) were related to Apple Watch validation or comparison studies. Most studies showed that the Apple Watch could measure heart rate acceptably with increased errors in case of movement. Accurate energy expenditure measurements are difficult for most wearables, with the Apple Watch generally providing the best results compared with peers, despite overestimation. Heart rate variability measurements were found to have gaps in data but were able to detect mild mental stress. Activity monitoring with step counting showed good agreement, although wheelchair use was found to be prone to overestimation and poor performance on overground tasks. Atrial fibrillation detection showed mixed results, in part because of a high inconclusive result rate, but may be useful for ongoing monitoring. No studies recorded validation of the Sleep app feature; however, accelerometer-based sleep monitoring showed high accuracy and sensitivity in detecting sleep. CONCLUSIONS: The results are encouraging regarding the application of the Apple Watch in mental health, particularly as heart rate variability is a key indicator of changes in both physical and emotional states. Particular benefits may be derived through avoidance of recall bias and collection of supporting ecological context data. However, a lack of methodologically robust and replicated evidence of user benefit, a supportive health economic analysis, and concerns about personal health information remain key factors that must be addressed to enable broader uptake.