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Nevin Manimala Statistics

Clinical, Pathologic, and Imaging Variables Associated with Prostate Cancer Detection by PSMA PET/CT and Multiparametric MRI

J Nucl Med. 2024 Oct 30:jnumed.124.268443. doi: 10.2967/jnumed.124.268443. Online ahead of print.

ABSTRACT

Multiparametric MRI (mpMRI) and prostate-specific membrane antigen (PSMA) PET/CT are complementary imaging modalities used in the presurgical evaluation of patients with prostate cancer (PCa). The purpose of this study was to characterize clinically significant PCa (csPCa) detected and not detected by PSMA PET/CT and mpMRI, focusing on tumors detected solely by PSMA PET/CT and overlooked by mpMRI. Methods: We conducted a single-center, retrospective analysis of patients who underwent both PSMA PET/CT and mpMRI within 3 mo of each other and before radical prostatectomy. Two nuclear medicine physicians and 2 radiologists, in a masked manner, independently contoured PCa lesions on PSMA PET/CT and mpMRI, respectively. A consensus read was done with a third reader for each modality, and a majority rule was applied (2:1). After centralized imaging, a pathologic review was done by a genitourinary pathologist. We assessed agreement between imaging modalities and correlation with pathology. Logistic regression models explored associations between clinicopathologic variables and tumor detection on imaging. Results: In total, 132 csPCa tumors from 100 patients were identified on surgical pathology. PSMA PET/CT showed higher lesion-level (87% vs. 80%) and patient-level (98% vs. 94%) sensitivity than mpMRI. Tumors detected on both imaging modalities were larger and had higher grade groups than those not detected by one or both imaging modalities. On multivariable analysis, csPCa tumors undetected by mpMRI but detected by PSMA PET/CT were smaller than those detected by both modalities. Most tumors showing aggressive pathologic features, such as the large cribriform pattern (94.7%) and the intraductal carcinoma (96%), were correctly detected by both imaging modalities. Limitations included selection bias in a surgical cohort. Conclusion: PSMA PET/CT tends to detect smaller csPCa not detected by mpMRI. Larger tumors on pathology with higher grade groups are more likely to be correctly detected by both imaging modalities. These findings provide insights for refining presurgical evaluation strategies in PCa.

PMID:39477501 | DOI:10.2967/jnumed.124.268443

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Nevin Manimala Statistics

Outcomes for Patients with Metastatic Castration-Resistant Prostate Cancer and Liver Metastasis Receiving [177Lu]Lu-PSMA-617

J Nucl Med. 2024 Oct 30:jnumed.124.268277. doi: 10.2967/jnumed.124.268277. Online ahead of print.

ABSTRACT

It is well known that patients with liver metastasis from metastatic castration-resistant prostate cancer have poor or only transient responses to many forms of systemic therapy. Data on outcomes after treatment with [177Lu]Lu-PSMA-617 (LuPSMA) are scarce. The VISION trial reports a hazard ratio for overall survival (OS) in the subgroup of patients with liver metastasis without disclosing the absolute duration of survival. Using real-world clinical data, we examined this important subgroup of patients, describing prostate-specific antigen (PSA) response and OS. Methods: A single-institution database was assembled to include all patients receiving LuPSMA at Mayo Clinic in Rochester, Minnesota, for whom treatment was initiated between March 2022 and March 2023. Baseline clinicopathologic and imaging characteristics were abstracted. Patients were then categorized by presence or absence of liver metastasis on pretreatment prostate-specific membrane antigen (PSMA) PET. PSA response and OS for the 2 groups (liver metastasis vs. no liver metastasis) were compared using χ2 testing and the Kaplan-Meier method, respectively. A multivariate Cox regression analysis was performed, including established prognostic factors. Finally, those with pretreatment circulating tumor DNA as determined in an 83-gene panel were assessed for the presence of pathogenic and likely pathogenic alterations. These findings were summarized using descriptive statistics and compared between the 2 cohorts using the Fisher exact test. Results: The overall cohort consisted of 273 patients, including 43 (15.75%) with liver metastasis on pretreatment PSMA PET/CT. The median number of cycles received was 3 (range, 1-6) for patients with liver metastasis and 5 (range, 1-6) for those without hepatic involvement. The 50% or greater reduction in PSA from baseline response rate was lower for those with liver metastasis than for those without (30.23% [13/43] vs 49.77% [106/213], P = 0.019). At a median follow-up of 10 mo (interquartile range, 9-13 mo), there was a significant difference in median OS (8.35 mo vs. not reached, P < 0.001). On multivariate analysis, the presence of liver metastasis was independently associated with shorter survival (hazard ratio, 4.06; P < 0.001). Conclusion: Our data suggest that the presence of liver metastasis predicts poorer outcomes in patients receiving LuPSMA treatment. Alternative and combination approaches should be explored to maximize the antitumor activity of radiopharmaceutical therapy in the liver.

PMID:39477495 | DOI:10.2967/jnumed.124.268277

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Nevin Manimala Statistics

Association between Disaster Knowledge Level and the First Step of Stockpiling Food for a Disaster

J Nutr Sci Vitaminol (Tokyo). 2024;70(5):422-429. doi: 10.3177/jnsv.70.422.

ABSTRACT

This study clarifies the association between disaster knowledge levels and beginning to stockpile food at home as a disaster preparedness. This survey was conducted between 18-20 December 2019 using a self-administered web-based questionnaire. The participants were recruited from panel members of an online survey company. A total of 1,200 adults living in the five Japanese prefectures with the highest predicted food shortages after the anticipated Nankai Trough earthquake, took part in the study. Multivariable logistic regression analyses revealed a significant positive relationship between disaster knowledge level and beginning food stockpiling (p for trend <0.001). Compared with those who had a low level of disaster knowledge, participants who had a medium level of knowledge were 2.11 times more likely to begin stockpiling food (adjusted odds ratio [OR]: 2.11, 95% confidence intervals [CI]: 1.49-2.97), whereas those with the highest knowledge level were 2.52 times more likely to begin stockpiling food (adjusted OR: 2.52, 95% CI: 1.79-3.56). Beginning food stockpiling can be the first step toward disaster preparedness. It is considered that people with low disaster knowledge levels are more likely to have no beginning food stockpiling and are at high risk for disasters. These findings suggest ways to approach prioritizing people facing high disaster risk.

PMID:39477479 | DOI:10.3177/jnsv.70.422

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Parent-Led Applied Behavior Analysis to Impact Clinical Outcomes for Individuals on the Autism Spectrum: Retrospective Chart Review

JMIR Pediatr Parent. 2024 Oct 30;7:e62878. doi: 10.2196/62878.

ABSTRACT

BACKGROUND: Autism spectrum disorder (ASD) can have traits that impact multiple domains of functioning and quality of life, which can persevere throughout life. To mitigate the impact of ASD on the long-term trajectory of an individual’s life, it is imperative to seek early and adequate treatment via scientifically validated approaches, of which applied behavior analysis (ABA) is the gold standard. ABA treatment must be delivered via a behavior technician with oversight from a board-certified behavior analyst. However, shortages in certified ABA therapists create treatment access barriers for individuals on the autism spectrum. Increased ASD prevalence demands innovations for treatment delivery. Parent-led treatment models for neurodevelopmental conditions are effective yet underutilized and may be used to fill this care gap.

OBJECTIVE: This study reports findings from a retrospective chart review of clinical outcomes for children that received parent-led ABA treatment and intends to examine the sustained impact that modifications to ABA delivery have had on a subset of patients of Montera, Inc. dba Forta (“Forta”), as measured by progress toward skill acquisition within multiple focus areas (FAs).

METHODS: Parents received ≥40 hours of training in ABA prior to initiating treatment, and patients were prescribed focused (<25 hours/week) or comprehensive (>25-40 hours/week) treatment plans. Retrospective data were evaluated over ≥90 days for 30 patients. The clinical outcomes of patients were additionally assessed by age (2-5 years, 6-12 years, 13-22 years) and utilization of prescribed treatment. Treatment encompassed skill acquisition goals; to facilitate data collection consistency, successful attempts were logged within a software application built in-house.

RESULTS: Improved goal achievement success between weeks 1-20 was observed for older age, all utilization, and both treatment plan type cohorts. Success rates increased over time for most FAs, with the exception of executive functioning in the youngest cohort and comprehensive plan cohort. Goal achievement experienced peaks and declines from week to week, as expected for ABA treatment; however, overall trends indicated increased skill acquisition success rates. Of 40 unique combinations of analysis cohorts and FAs, 20 showed statistically significant positive linear relationships (P<.05). Statistically significant positive linear relationships were observed in the high utilization cohort (communication with P=.04, social skills with P=.02); in the fair and full utilization cohorts (overall success with P=.03 for the fair utilization cohort and P=.001 for the full utilization cohort, and success in emotional regulation with P<.001 for the fair utilization cohort and P<.001 for the full utilization cohort); and in the comprehensive treatment cohort (communication with P=.001, emotional regulation with P=.045).

CONCLUSIONS: Parent-led ABA can lead to goal achievement and improved clinical outcomes and may be a viable solution to overcome treatment access barriers that delay initiation or continuation of care.

PMID:39476396 | DOI:10.2196/62878

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Donor Tissue Preservation Time Impact on Keratolimbal Allograft Outcomes

Cornea. 2024 Oct 29. doi: 10.1097/ICO.0000000000003746. Online ahead of print.

ABSTRACT

PURPOSE: This study sought to determine the effect of donor preservation time and other donor tissue factors on the clinical outcomes of keratolimbal allograft (KLAL) transplantation.

METHODS: In this retrospective chart review of patients who underwent KLAL transplantation, electronic health records were reviewed for relevant patient ocular and surgical history. Donor tissue factors were collected from donor reports. The primary outcome measure was time to epithelialization. Exclusion criteria included prior ocular surface stem cell transplantation, loss to follow-up, missing data from medical records, indication for surgery other than limbal stem cell deficiency, and early removal of KLAL tissue. Regression analysis was performed to compare time to epithelialization and donor tissue factors. Subgroup analysis was performed using the Student t test to evaluate the impact of donor preservation time on time to epithelialization.

RESULTS: A total of 154 eyes were identified of which 122 were included for analysis. The mean time to epithelialization was 55 days and median was 35 days. No donor tissue factors were found to affect total time to corneal epithelialization. Subgroup analysis comparing the effect of different total preservation times on time to epithelialization did not reveal any statistically significant associations.

CONCLUSIONS: No relationship was found between time to donor tissue preservation and time to epithelialization after KLAL surgery. It appears that limbal stem cells can be safely stored for up to 9 days in corneal storage solution in hypothermic temperatures without clinical consequences.

PMID:39476394 | DOI:10.1097/ICO.0000000000003746

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Determinants of Citizens’ Intention to Participate in Self-Led Contact Tracing: Cross-Sectional Online Questionnaire Study

JMIR Public Health Surveill. 2024 Oct 30;10:e56943. doi: 10.2196/56943.

ABSTRACT

BACKGROUND: Contact tracing (CT) is a key intervention to contain outbreaks of communicable diseases. During large-scale outbreaks, public health services may lack the resources required to perform CT effectively. One way of mitigating this issue is to shift some of the tasks in CT normally performed by public health services to cases and their contacts, supported by digital tools. We refer to this as “self-led CT.” However, while the effectiveness of the self-led CT inherently depends on the willingness and skills of citizens to participate, the determinants of citizens’ intention to participate in self-led CT are not yet fully understood.

OBJECTIVE: We aimed to identify determinants of Dutch citizens’ intention to participate in self-led CT and assess their potential for behavioral change, so as to identify “behavior change targets,” which may be used in the development and implementation of self-led CT to increase citizens’ intention to participate.

METHODS: In March 2022, we performed an online cross-sectional questionnaire study. The questionnaire was developed based on findings from a previous exploratory semistructured interview study and distributed among a Dutch consumer panel. Using all questionnaire items as potential predictors, we performed a random forest analysis to identify determinants of citizens’ intention to participate in self-led CT. We then performed an Agglomerative Hierarchical Cluster Analysis to identify groups of related determinants that may be considered overarching behavior change targets. Finally, we used Confidence Interval-Based Estimation of Relevance and calculated the Potential for Change Indices to compare the potential for behavioral change of the selected individual determinants and determinant clusters.

RESULTS: The questionnaire was completed by 3019 respondents. Our sample is representative of the Dutch population in terms of age, gender, educational level, and area of residence. Out of 3019 respondents, 2295 (76%) had a positive intention to participate in self-led CT. We identified 20 determinants of citizens’ intention that we grouped into 9 clusters. In general, increasing citizens’ trust in the digital tools developed for self-led CT has the highest potential to increase citizens’ intention, followed by increasing the belief that using digital tools makes participating in self-led CT easier, reducing privacy-related concerns, and increasing citizens’ willingness-and sense of responsibility-to cooperate in CT in general.

CONCLUSIONS: Overall, Dutch citizens are positive toward participating in self-led CT. Our results provide directions for the development and implementation of self-led CT, which may be particularly useful in preparing for future, large-scale outbreaks.

PMID:39476390 | DOI:10.2196/56943

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Sensors for Smoking Detection in Epidemiological Research: Scoping Review

JMIR Mhealth Uhealth. 2024 Oct 30;12:e52383. doi: 10.2196/52383.

ABSTRACT

BACKGROUND: The use of wearable sensors is being explored as a challenging way to accurately identify smoking behaviors by measuring physiological and environmental factors in real-life settings. Although they hold potential benefits for aiding smoking cessation, no single wearable device currently achieves high accuracy in detecting smoking events. Furthermore, it is crucial to emphasize that this area of study is dynamic and requires ongoing updates.

OBJECTIVE: This scoping review aims to map the scientific literature for identifying the main sensors developed or used for tobacco smoke detection, with a specific focus on wearable sensors, as well as describe their key features and categorize them by type.

METHODS: According to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) protocol, an electronic search was conducted on the PubMed, MEDLINE, and Web of Science databases, using the following keywords: (“biosensors” OR “biosensor” OR “sensors” OR “sensor” OR “wearable”) AND (“smoking” OR “smoke”).

RESULTS: Among a total of 37 studies included in this scoping review published between 2012 and March 2024, 16 described sensors based on wearable bands, 15 described multisensory systems, and 6 described other strategies to detect tobacco smoke exposure. Included studies provided details about the design or application of wearable sensors based on an elastic band to detect different aspects of tobacco smoke exposure (eg, arm, wrist, and finger movements, and lighting events). Some studies proposed a system composed of different sensor modalities (eg, Personal Automatic Cigarette Tracker [PACT], PACT 2.0, and AutoSense).

CONCLUSIONS: Our scoping review has revealed both the obstacles and opportunities linked to wearable devices, offering valuable insights for future research initiatives. Tackling the recognized challenges and delving into potential avenues for enhancement could elevate wearable devices into even more effective tools for aiding smoking cessation. In this context, continuous research is essential to fine-tune and optimize these devices, guaranteeing their practicality and reliability in real-world applications.

PMID:39476379 | DOI:10.2196/52383

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Nevin Manimala Statistics

Smartphone Apps for Pulmonary Hypertension: Systematic Search and Content Evaluation

JMIR Mhealth Uhealth. 2024 Oct 30;12:e57289. doi: 10.2196/57289.

ABSTRACT

BACKGROUND: Pulmonary hypertension (PH) is a chronic and complex condition, requiring consistent management and education. The widespread use of smartphones has opened possibilities for mobile health apps to support both patients and health care professionals in monitoring and managing PH more effectively.

OBJECTIVE: This study aimed to identify and assess the quality of free smartphone apps for PH targeted at either patients or health care professionals.

METHODS: A systematic search was conducted on freely available apps for patients with PH and health care professionals, accessed from a Spanish IP address, on Android (Google Play) and iOS (App Store) platforms. Searches were performed in October 2022 and 2023. Apps were independently analyzed by two reviewers, focusing on general characteristics. Quality assessment was based on the Mobile Application Rating Scale (MARS) framework, and Mann-Whitney U tests compared mean MARS scores against specific variables.

RESULTS: In the overall study, 21 apps were identified. In the 2022 search, 19 apps were listed (9 iOS, 7 Android, 3 available on both platforms). In the subsequent 2023 search, 16 apps were identified (6 Android, 7 iOS, 3 available on both platforms). Of those identified in 2022, 14 remained available in 2023, with only 7 updated since 2022. In addition, 12 apps targeted patients or the general population, while 9 targeted health care professionals; none involved patients in the development or design. Conversely, 13 apps involving health care professionals were identified. There were 10 apps that received pharmaceutical industry funding. The primary goal for 81% (17/21) of the apps was to disseminate general information about PH. The overall mean MARS quality was acceptable in 2022 and 2023, with mean ratings of 3.1 (SD 0.6) and 3.3 (SD 0.5), respectively. The functionality category achieved the highest scores in both years, indicating ease of use and intuitive navigation. In contrast, the subjective quality domain consistently received the lowest ratings in the MARS assessment across both years. None of the apps underwent clinical testing themselves; however, 2 incorporated tools or algorithms derived from trials. The overall quality of iOS apps statistically outperformed that of Android apps in both years (P<.05). Furthermore, the involvement of health care professionals in app development was associated with enhanced quality, a trend observed in both years (P=.003 for both years).

CONCLUSIONS: This review of mobile health apps for PH reveals their emergent development stage, with generally acceptable quality but lacking refinement. It highlights the critical role of health care professionals in app development, as they contribute significantly to quality and reliability. Despite this, a notable stagnation in app quality and functionality improvement over 2 years points to a need for continuous innovation and clinical validation for effective clinical integration. This research advocates for future app developers to actively engage with health care professionals, integrate patient insights, and mandate rigorous clinical validation for PH management.

PMID:39476376 | DOI:10.2196/57289

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Evolution of the “Internet Plus Health Care” Mode Enabled by Artificial Intelligence: Development and Application of an Outpatient Triage System

J Med Internet Res. 2024 Oct 30;26:e51711. doi: 10.2196/51711.

ABSTRACT

BACKGROUND: Although new technologies have increased the efficiency and convenience of medical care, patients still struggle to identify specialized outpatient departments in Chinese tertiary hospitals due to a lack of medical knowledge.

OBJECTIVE: The objective of our study was to develop a precise and subdividable outpatient triage system to improve the experiences and convenience of patient care.

METHODS: We collected 395,790 electronic medical records (EMRs) and 500 medical dialogue groups. The EMRs were divided into 3 data sets to design and train the triage model (n=387,876, 98%) and test (n=3957, 1%) and validate (n=3957, 1%) it. The triage system was altered based on the current BERT (Bidirectional Encoder Representations from Transformers) framework and evaluated by recommendation accuracies in Xinhua Hospital using the cancellation rates in 2021 and 2022, from October 29 to December 5. Finally, a prospective observational study containing 306 samples was conducted to compare the system’s performance with that of triage nurses, which was evaluated by calculating precision, accuracy, recall of the top 3 recommended departments (recall@3), and time consumption.

RESULTS: With 3957 (1%) records each, the testing and validation data sets achieved an accuracy of 0.8945 and 0.8941, respectively. Implemented in Xinhua Hospital, our triage system could accurately recommend 79 subspecialty departments and reduce the number of registration cancellations from 16,037 (3.83%) of the total 418,714 to 15,338 (3.53%) of the total 434200 (P<.05). In comparison to the triage system, the performance of the triage nurses was more accurate (0.9803 vs 0.9153) and precise (0.9213 vs 0.9049) since the system could identify subspecialty departments, whereas triage nurses or even general physicians can only recommend main departments. In addition, our triage system significantly outperformed triage nurses in recall@3 (0.6230 vs 0.5266; P<.001) and time consumption (10.11 vs 14.33 seconds; P<.001).

CONCLUSIONS: The triage system demonstrates high accuracy in outpatient triage of all departments and excels in subspecialty department recommendations, which could decrease the cancellation rate and time consumption. It also improves the efficiency and convenience of clinical care to fulfill better the usage of medical resources, expand hospital effectiveness, and improve patient satisfaction in Chinese tertiary hospitals.

PMID:39476375 | DOI:10.2196/51711

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The Impact of Different Types of Social Media Use on the Mental Health of UK Adults: Longitudinal Observational Study

J Med Internet Res. 2024 Oct 30;26:e56950. doi: 10.2196/56950.

ABSTRACT

BACKGROUND: Previous studies have explored the association between social media use and mental health among adolescents. However, few studies using nationally representative longitudinal data have explored this relationship for adults and how the effect might change depending on how people use social media.

OBJECTIVE: This study investigated the longitudinal relationship between the frequency of viewing and posting on social media and mental health problems among UK adults.

METHODS: This study included 15,836 adults (aged 16 years and older) who participated in Understanding Society, a UK longitudinal survey. Social media use was measured with questions about the frequency of viewing social media and posting on social media in Understanding Society Wave 11 (2019-2021). We explored viewing and posting separately, as well as a combined exposure: (1) high viewing, high posting; (2) high viewing, low posting; (3) low viewing, high posting; and (4) low viewing, low posting. Mental health problems were measured in Wave 12 (2020-2022) using the General Health Questionnaire (GHQ-12), a validated scale for identifying symptoms of common mental health problems, where higher scores indicated more mental health problems (0 to 36). Unadjusted and adjusted linear regression models were estimated for viewing social media and posting on social media, adjusting for the baseline GHQ score, gender, age, ethnicity, employment, and education. We found no evidence for effect modification by gender and age so overall associations were reported.

RESULTS: In our adjusted models, we found no evidence of an association between the frequency of viewing social media and mental health problems in the following year. We found that adults who posted daily on social media had more mental health problems than those who never posted on social media, corresponding to a 0.35-point increase in GHQ score (β=0.35, 95% CI 0.01-0.68; P=.04). When we considered both social media behaviors, we found that those who frequently viewed and posted on social media scored 0.31 points higher on the GHQ score (β=0.31, 95% CI 0.04-0.58; P=.03) in the following year compared to those who rarely viewed or posted on social media.

CONCLUSIONS: We found that a high frequency of posting on social media was associated with increased mental health problems a year later. However, we did not find evidence of a similar association based on the frequency of viewing social media content. This provides evidence that some types of active social media use (ie, posting) have a stronger link to mental health outcomes than some types of passive social media use (viewing). These results highlighted that the relationship between social media use and mental health is complex, and more research is needed to understand the mechanisms underlying these patterns to inform targeted interventions and policies.

PMID:39476374 | DOI:10.2196/56950