Nevin Manimala

Folia Parasitol (Praha). 2021 Nov 23;68:2021.026. doi: 10.14411/fp.2021.026.

ABSTRACT

Apoptosis plays crucial role in the pathogenesis of toxoplasmosis, as it limits further development of the disease. The current study aimed to investigate the effects of different concentrations of soluble total antigen (STAg) of Toxoplasma gondii (Nicolle et Manceaux, 1908) on the apoptotic and anti-apoptotic pathways. PMA-activated THP-1 cell line was sensed by T. gondii STAg and the expression patterns of caspase-3, -7, -8, -9, Bax, Bcl-2, and Mcl-1 genes were evaluated. The results showed statistically significant concentration-dependent overexpression of both Bcl-2 (P-value < 0.0001) and Mcl-1 (P-value = 0.0147). The cas-7 showed overexpression in all concentrations (P-value < 0.0001). The cas-3 was suppressed in concentrations 100, 80, and 40 µg, but statistically significant downregulated in concentrations 10 and 20 µg. The Bax was suppressed in concentrations 100 to 20 µg, while it slightly downregulated 1.42 fold (P-value = 0.0029) in concentration 10 µg. The expression of cas-8 and -9 was suppressed in all concentrations. Our results indicated that T. gondii STAg downregulated and suppressed apoptotic and upregulated anti-apoptotic pathways. The upregulation of cas-7 in this study may indicate the role of T. gondii STAg in activation of inflammatory responses.

PMID:34889779 | DOI:10.14411/fp.2021.026

JMIR Res Protoc. 2021 Dec 9;10(12):e31995. doi: 10.2196/31995.

ABSTRACT

BACKGROUND: Acquired brain injuries (ABIs) commonly cause cognitive-communication disorders, which can have a pervasive psychosocial impact on a person’s life. More than 135 million people worldwide currently live with ABI, and this large and growing burden is increasingly surpassing global rehabilitation service capacity. A web-based service delivery model may offer a scalable solution. The Social Brain Toolkit is an evidence-based suite of 3 web-based communication training interventions for people with ABI and their communication partners. Successful real-world delivery of web-based interventions such as the Social Brain Toolkit requires investigation of intervention implementation in addition to efficacy and effectiveness.

OBJECTIVE: The aim of this study is to investigate the implementation and effectiveness of the Social Brain Toolkit as a web-based service delivery model.

METHODS: This is a mixed methods, prospective, hybrid type 2 implementation-effectiveness study, theoretically underpinned by the Nonadoption, Abandonment, Scale-up, Spread, and Sustainability (NASSS) framework of digital health implementation. We will document implementation strategies preemptively deployed to support the launch of the Social Brain Toolkit interventions, as well as implementation strategies identified by end users through formative evaluation of the Social Brain Toolkit. We will prospectively observe implementation outcomes, selected on the basis of the NASSS framework, through quantitative web analytics of intervention use, qualitative and quantitative pre- and postintervention survey data from all users within a specified sample frame, and qualitative interviews with a subset of users of each intervention. Qualitative implementation data will be deductively analyzed against the NASSS framework. Quantitative implementation data will be analyzed descriptively. We will obtain effectiveness outcomes through web-based knowledge tests, custom user questionnaires, and formal clinical tools. Quantitative effectiveness outcomes will be analyzed through descriptive statistics and the Reliable Change Index, with repeated analysis of variance (pretraining, posttraining, and follow-up), to determine whether there is any significant improvement within this participant sample.

RESULTS: Data collection commenced on July 2, 2021, and is expected to conclude on June 1, 2022, after a 6-month sample frame of analytics for each Social Brain Toolkit intervention. Data analysis will occur concurrently with data collection until mid-2022, with results expected for publication late 2022 and early 2023.

CONCLUSIONS: End-user evaluation of the Social Brain Toolkit’s implementation can guide intervention development and implementation to reach and meet community needs in a feasible, scalable, sustainable, and acceptable manner. End user feedback will be directly incorporated and addressed wherever possible in the next version of the Social Brain Toolkit. Learnings from these findings will benefit the implementation of this and future web-based psychosocial interventions for people with ABI and other populations.

TRIAL REGISTRATION: Australia and New Zealand Clinical Trials Registry ACTRN12621001170819; https://anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12621001170819, Australia and New Zealand Clinical Trials Registry ACTRN12621001177842; https://anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12621001177842, Australia and New Zealand Clinical Trials Registry ACTRN12621001180808; https://anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12621001180808.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/31995.

PMID:34889770 | DOI:10.2196/31995

JMIR Med Inform. 2021 Dec 8;9(12):e33049. doi: 10.2196/33049.

ABSTRACT

BACKGROUND: Deep learning (DL)-based artificial intelligence may have different diagnostic characteristics than human experts in medical diagnosis. As a data-driven knowledge system, heterogeneous population incidence in the clinical world is considered to cause more bias to DL than clinicians. Conversely, by experiencing limited numbers of cases, human experts may exhibit large interindividual variability. Thus, understanding how the 2 groups classify given data differently is an essential step for the cooperative usage of DL in clinical application.

OBJECTIVE: This study aimed to evaluate and compare the differential effects of clinical experience in otoendoscopic image diagnosis in both computers and physicians exemplified by the class imbalance problem and guide clinicians when utilizing decision support systems.

METHODS: We used digital otoendoscopic images of patients who visited the outpatient clinic in the Department of Otorhinolaryngology at Severance Hospital, Seoul, South Korea, from January 2013 to June 2019, for a total of 22,707 otoendoscopic images. We excluded similar images, and 7500 otoendoscopic images were selected for labeling. We built a DL-based image classification model to classify the given image into 6 disease categories. Two test sets of 300 images were populated: balanced and imbalanced test sets. We included 14 clinicians (otolaryngologists and nonotolaryngology specialists including general practitioners) and 13 DL-based models. We used accuracy (overall and per-class) and kappa statistics to compare the results of individual physicians and the ML models.

RESULTS: Our ML models had consistently high accuracies (balanced test set: mean 77.14%, SD 1.83%; imbalanced test set: mean 82.03%, SD 3.06%), equivalent to those of otolaryngologists (balanced: mean 71.17%, SD 3.37%; imbalanced: mean 72.84%, SD 6.41%) and far better than those of nonotolaryngologists (balanced: mean 45.63%, SD 7.89%; imbalanced: mean 44.08%, SD 15.83%). However, ML models suffered from class imbalance problems (balanced test set: mean 77.14%, SD 1.83%; imbalanced test set: mean 82.03%, SD 3.06%). This was mitigated by data augmentation, particularly for low incidence classes, but rare disease classes still had low per-class accuracies. Human physicians, despite being less affected by prevalence, showed high interphysician variability (ML models: kappa=0.83, SD 0.02; otolaryngologists: kappa=0.60, SD 0.07).

CONCLUSIONS: Even though ML models deliver excellent performance in classifying ear disease, physicians and ML models have their own strengths. ML models have consistent and high accuracy while considering only the given image and show bias toward prevalence, whereas human physicians have varying performance but do not show bias toward prevalence and may also consider extra information that is not images. To deliver the best patient care in the shortage of otolaryngologists, our ML model can serve a cooperative role for clinicians with diverse expertise, as long as it is kept in mind that models consider only images and could be biased toward prevalent diseases even after data augmentation.

PMID:34889764 | DOI:10.2196/33049

JMIR Pediatr Parent. 2021 Dec 8;4(4):e27988. doi: 10.2196/27988.

ABSTRACT

BACKGROUND: There is a 60% survival gap between children diagnosed with cancer in low- and middle-income countries (LMICs) and those in high-income countries. Low caregiver knowledge about childhood cancer and its treatment results in presentation delays and subsequent treatment abandonment in LMICs. However, in-person education to improve caregiver knowledge can be challenging due to health worker shortages and inadequate training. Due to the rapid expansion of mobile phone use worldwide, mobile health (mHealth) technologies offer an alternative to delivering in-person education.

OBJECTIVE: The aim of this study is to assess patterns of mobile phone ownership and use among Tanzanian caregivers of children diagnosed with cancer as well as their acceptability of an mHealth intervention for cancer education, patient communication, and care coordination.

METHODS: In July 2017, caregivers of children <18 years diagnosed with cancer and receiving treatment at Bugando Medical Centre (BMC) were surveyed to determine mobile phone ownership, use patterns, technology literacy, and acceptability of mobile phone use for cancer education, patient communication, and care coordination. Descriptive statistics were generated from the survey data by using mean and SD values for continuous variables and percentages for binary or categorical variables.

RESULTS: All eligible caregivers consented to participate and completed the survey. Of the 40 caregivers who enrolled in the study, most used a mobile phone (n=34, 85%) and expressed high acceptability in using these devices to communicate with a health care provider regarding treatment support (n=39, 98%), receiving laboratory results (n=37, 93%), receiving reminders for upcoming appointments (n=38, 95%), and receiving educational information on cancer (n=35, 88%). Although only 9% (3/34) of mobile phone owners owned phones with smartphone capabilities, about 74% (25/34) self-reported they could view and read SMS text messages.

CONCLUSIONS: To our knowledge, this is the first study to assess patterns of mobile phone ownership and use among caregivers of children with cancer in Tanzania. The high rate of mobile phone ownership and caregiver acceptability for a mobile phone-based education and communication strategy suggests that a mobile phone-based intervention, particularly one that utilizes SMS technology, could be feasible in this setting.

PMID:34889763 | DOI:10.2196/27988

J Med Internet Res. 2021 Nov 30;23(11):e34625. doi: 10.2196/34625.

ABSTRACT

[This corrects the article DOI: 10.2196/31400.].

PMID:34889759 | DOI:10.2196/34625

JMIR Med Inform. 2021 Dec 8;9(12):e29212. doi: 10.2196/29212.

ABSTRACT

BACKGROUND: Pulse transit time and pulse wave velocity (PWV) are related to blood pressure (BP), and there were continuous attempts to use these to predict BP through wearable devices. However, previous studies were conducted on a small scale and could not confirm the relative importance of each variable in predicting BP.

OBJECTIVE: This study aims to predict systolic blood pressure and diastolic blood pressure based on PWV and to evaluate the relative importance of each clinical variable used in BP prediction models.

METHODS: This study was conducted on 1362 healthy men older than 18 years who visited the Samsung Medical Center. The systolic blood pressure and diastolic blood pressure were estimated using the multiple linear regression method. Models were divided into two groups based on age: younger than 60 years and 60 years or older; 200 seeds were repeated in consideration of partition bias. Mean of error, absolute error, and root mean square error were used as performance metrics.

RESULTS: The model divided into two age groups (younger than 60 years and 60 years and older) performed better than the model without division. The performance difference between the model using only three variables (PWV, BMI, age) and the model using 17 variables was not significant. Our final model using PWV, BMI, and age met the criteria presented by the American Association for the Advancement of Medical Instrumentation. The prediction errors were within the range of about 9 to 12 mmHg that can occur with a gold standard mercury sphygmomanometer.

CONCLUSIONS: Dividing age based on the age of 60 years showed better BP prediction performance, and it could show good performance even if only PWV, BMI, and age variables were included. Our final model with the minimal number of variables (PWB, BMI, age) would be efficient and feasible for predicting BP.

PMID:34889753 | DOI:10.2196/29212

J Med Internet Res. 2021 Dec 9;23(12):e30323. doi: 10.2196/30323.

ABSTRACT

BACKGROUND: The rapidly evolving digital environment of the social media era has increased the reach of both quality health information and misinformation. Platforms such as YouTube enable easy sharing of attractive, if not always evidence-based, videos with large personal networks and the public. Although much research has focused on characterizing health misinformation on the internet, it has not sufficiently focused on describing and measuring individuals’ information competencies that build resilience.

OBJECTIVE: This study aims to assess individuals’ willingness to share a non-evidence-based YouTube video about strengthening the immune system; to describe types of evidence that individuals view as supportive of the claim by the video; and to relate information-sharing behavior to several information competencies, namely, information literacy, science literacy, knowledge of the immune system, interpersonal trust, and trust in health authority.

METHODS: A web-based survey methodology with 150 individuals across the United States was used. Participants were asked to watch a YouTube excerpt from a morning TV show featuring a wellness pharmacy representative promoting an immunity-boosting dietary supplement produced by his company; answer questions about the video and report whether they would share it with a cousin who was frequently sick; and complete instruments pertaining to the information competencies outlined in the objectives.

RESULTS: Most participants (105/150, 70%) said that they would share the video with their cousins. Their confidence in the supplement would be further boosted by a friend’s recommendations, positive reviews on a crowdsourcing website, and statements of uncited effectiveness studies on the producer’s website. Although all information literacy competencies analyzed in this study had a statistically significant relationship with the outcome, each competency was also highly correlated with the others. Information literacy and interpersonal trust independently predicted the largest amount of variance in the intention to share the video (17% and 16%, respectively). Interpersonal trust was negatively related to the willingness to share the video. Science literacy explained 7% of the variance.

CONCLUSIONS: People are vulnerable to web-based misinformation and are likely to propagate it on the internet. Information literacy and science literacy are associated with less vulnerability to misinformation and a lower propensity to spread it. Of the two, information literacy holds a greater promise as an intervention target. Understanding the role of different kinds of trust in information sharing merits further research.

PMID:34889750 | DOI:10.2196/30323

J Med Internet Res. 2021 Dec 8;23(12):e17185. doi: 10.2196/17185.

ABSTRACT

BACKGROUND: Previous research has confirmed that symptoms of postnatal depression (PND) can be ameliorated through internet-delivered psychological interventions. Advantages of internet-delivered treatment include anonymity, convenience, and catering to women who are unable to access face-to-face (FTF) treatments. To date, no research has examined the efficacy of such interventions compared directly with FTF treatments in women clinically diagnosed with PND.

OBJECTIVE: This study aims to compare the efficacy of one of the first web-based cognitive behavioral therapy (CBT) interventions (internet CBT+coach calls) for PND (MumMoodBooster [MMB]) with FTF-CBT in a randomized controlled trial (RCT).

METHODS: In this study, 116 postnatal women with a Diagnostic and Statistical Manual for Mental Disorders, Fourth Edition (DSM-IV) diagnosis of major or minor depression were randomized to MMB (39/116, 33.6%), FTF-CBT (39/116, 33.6%), or a treatment-as-usual (TAU) control condition (38/116, 32.8%). Diagnostic status was determined at baseline and at 21-week follow-up using the Structured Clinical Interview for the DSM-IV. Severity of anxiety and depressive symptoms was evaluated using the Depression Anxiety Stress Scales and the revised Beck Depression Inventory at baseline, 12-week follow-up (after treatment), and 21-week follow-up.

RESULTS: Of the 116 participants, 107 (92.2%) had a diagnosis of major depression at baseline. Rates of remission from a major or minor depressive episode at 21 weeks in both the FTF-CBT and MMB groups were superior to that of the TAU group (56.6% and 47.7% less likely to be depressed, respectively) and they were not significantly different from each other. Although remission rates differed between TAU and FTF-CBT, growth models showed that, in terms of symptom reduction across time, the FTF-CBT treatment was not significantly better than TAU. By comparison, MMB was statistically superior to both TAU and FTF-CBT in reducing symptoms of depression, anxiety, and stress from baseline to the 21-week follow-up (large and moderate effect sizes). Thus, after 21 weeks, the average symptom scores for depression and anxiety of women receiving MMB were approximately half those of women in both the TAU and FTF-CBT groups.

CONCLUSIONS: In this RCT, MMB was at least as effective as FTF-CBT in achieving remission from a diagnosed PND episode. MMB was superior to TAU and FTF-CBT in encouraging and maintaining reduction of symptom severity over the 21-week follow-up for depressed postnatal women. These findings replicate results of prior studies on MMB that showed clinically significant improvements in depressive symptoms, and they provide direct empirical support that internet-delivered treatment for depressed postnatal women is a viable alternative to FTF treatment. The generalizability of the results needs to be examined in future research, as RCTs of internet-based versus FTF treatments necessarily involve a subset of people who are willing to undertake either modality of treatment.

TRIAL REGISTRATION: Australia and New Zealand Clinical Trials Registry (ANZCTR) ACTRN12613000881730; https://anzctr.org.au/Trial/Registration/TrialReview.aspx?id=364683&isReview=true.

PMID:34889742 | DOI:10.2196/17185

Disabil Rehabil. 2021 Dec 10:1-37. doi: 10.1080/09638288.2021.2012844. Online ahead of print.

ABSTRACT

Purpose: We aimed to synthesize the literature that considered frailty in the evaluation of rehabilitation interventions for adults (aged ≥ 18) by answering: (1) how is frailty defined in rehabilitation intervention research?; (2) how is frailty operationalized in rehabilitation intervention research?; (3) what are the characteristics of rehabilitation interventions for frail adults and what frailty related outcomes are assessed?Materials and methods: A scoping review was conducted. Data were analyzed using descriptive statistics and qualitative content analysis.Results: 53 articles met the inclusion criteria. Most studies were conducted in Europe and involved randomized control trials. The included studies reported on rehabilitation interventions that only included individuals aged 50 or older. Thirteen studies used Fried’s definition of frailty, but most (n = 27) did not use any definition. Many studies did not differentiate between the conceptualization (e.g., definition) and operationalization (e.g., use of inclusion/exclusion criteria, outcome measures) of frailty. Most interventions focused on exercise. Instrumental activities of daily living reported most frequently as outcomes (n = 11).Conclusions: There is an absence of consistent definitions of frailty in rehabilitation interventions and current definitions tend to focus on physical functioning. The authors suggest rehabilitation researchers consider an expanded definition of frailty informed by the International Classification of Functioning, Disability and Health framework.IMPLICATIONS FOR REHABILITATIONRehabilitation professionals should use an expanded definition of frailty, informed by the International Classification of Functioning, Disability and Health framework, should include physical, mental, personal, environmental, and social factors to decrease, delay, or prevent frailty in adults.Rehabilitation professionals should consider a broader operationalization of frailty that is not dependent on age and physical functioning.Rehabilitation professionals that consider a broader conceptualization of frailty should tailor interventions to the specific needs of frail adults.

PMID:34889703 | DOI:10.1080/09638288.2021.2012844

Br J Radiol. 2022 Jan 1;95(1129):20210269. doi: 10.1259/bjr.20210269.

ABSTRACT

OBJECTIVES: To audit whether using magnification of images by use of a large viewing screen using digital matrix magnification which enlarges the image by 33% without using the X-ray machine zoom magnification protocols on a Siemens Artis Zee X-ray machine in a cardiac catheter laboratory results in a reduction of kerma-area product (KAP) for both diagnostic and interventional procedures. This reduction was predicted in an in vitro study in our laboratory, which has previously shown a 20.4% reduction in KAP.

METHODS: A retrospective analysis was conducted of the radiation exposure to compare the measured KAP recorded during the period when conventional magnification with automatic brightness and dose control was used on a Siemens Artis Zee X-ray machine with a flat panel detector and when magnification settings were avoided by using a large screen to enlarge and project a non-magnified image by digital magnification. The analysis was carried out for patients having a diagnostic coronary angiogram and those having an interventional coronary procedure.

RESULTS: For diagnostic coronary angiograms the median KAP per procedure in the period using conventional magnification was 2124.5 µGy.m² compared to 1401 µGy.m² when image matrix magnification was used, a 34% reduction (p < 0.0001). For interventional coronary procedures, the median KAP per procedure in the period using conventional magnification was 3791 µGy.m² compared to 2568.5 µGy.m² when image matrix magnification was used, a 32% reduction (p < 0.0001).

CONCLUSION: Avoiding using conventional magnification in the cardiac catheter laboratory and using a large screen to magnify images was associated with a statistically significant greater than 30% reduction in KAP.

ADVANCES IN KNOWLEDGE: This paper is the proof in clinical practice of a theoretical conclusion that radiation dose (KAP) is reduced by use of Image matrix magnification using a large viewing screen without the need to use X-ray tube magnification without significant loss of image resolution in interventional cardiology. The same approach will be useful in interventional radiology.

PMID:34889648 | DOI:10.1259/bjr.20210269