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Nevin Manimala Statistics

Digitally Based Blood Pressure Self-Monitoring Program That Promotes Hypertension Self-Management and Health Education Among Patients With Low-Income: Usability Study

JMIR Hum Factors. 2023 Jul 24;10:e46313. doi: 10.2196/46313.

ABSTRACT

BACKGROUND: According to evidence-based clinical guidelines, adults with hypertension are advised to self-monitor their blood pressure (BP) twice daily. Self-measured BP monitoring is a recommended strategy for improving hypertension management.

OBJECTIVE: We aimed to determine the feasibility and acceptability of a digitally based BP self-monitoring program that promotes hypertension self-management and health education among low-income patients. We hypothesized that the program would be highly feasible and acceptable and that at least 50% of the patients would use the monitor at the rate required for the reimbursement of the device’s cost (16 days of measurements in any 30-day period).

METHODS: Withings BPM Connect was deployed to patients at Family Health Centers of San Diego. Program elements included training, SMS text message reminders, and physician communication. Compliance, use, mean BP, and BP control status were calculated. A Kaplan-Meier time-to-event analysis was conducted to compare time to compliance between a strict definition (≥16 days in any rolling 30-day window) and a lenient definition (≥1 day per week for 4 consecutive weeks). A log-rank test was performed to determine whether the difference in time to compliance between the definitions was statistically significant. Mean systolic BP (SBP) and diastolic BP (DBP) before the intervention and after the intervention and mean change in SBP and DBP across patients were calculated. Paired sample t tests (2-tailed) were performed to assess the changes in SBP and DBP from before to after the intervention.

RESULTS: A total of 179 patients received the monitors. The mean changes in SBP and DBP from before to after the intervention were +2.62 (SE 1.26) mm Hg and +3.31 (SE 0.71) mm Hg, respectively. There was a statistically significant increase in both SBP and DBP after the intervention compared with before the intervention (P=.04 and P<.001). At the first and last measurements, 37.5% (63/168) and 48.8% (82/168) of the patients had controlled BP, respectively. During the observation period, 83.3% (140/168) of the patients had at least 1 controlled BP measurement. Use decreased over time, with 53.6% (90/168) of the patients using their monitor at week 2 and only 25% (42/168) at week 11. Although only 25.6% (43/168) achieved the strict definition of compliance, 42.3% (71/168) achieved the lenient definition of compliance. The median time to compliance was 130 days for the strict definition and 95 days for the lenient definition. The log-rank test showed a statistically significant difference in time to compliance between the compliance definitions (P<.001). Only 26.8% (45/168) complied with the measurement rate that would result in device cost reimbursement.

CONCLUSIONS: Few patients used the monitors at a rate that would result in reimbursement, raising financial feasibility concerns. Plans for sustaining costs among low-income patients need to be further evaluated.

PMID:37486745 | DOI:10.2196/46313

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A Splicing Transcriptome-Wide Association Study Identifies Candidate Altered Splicing for Prostate Cancer Risk

OMICS. 2023 Jul 25. doi: 10.1089/omi.2023.0065. Online ahead of print.

ABSTRACT

Prostate cancer (PCa) represents a huge public health burden among men. Many susceptibility genetic factors for PCa still remain unknown. In this study, we performed a large splicing transcriptome-wide association study (spTWAS) using three modeling strategies to develop alternative splicing genetic prediction models for identifying novel susceptibility loci and splicing introns for PCa risk by assessing 79,194 cases and 61,112 controls of European ancestry in the PRACTICAL, CRUK, CAPS, BPC3, and PEGASUS consortia. We identified 120 splicing introns of 97 genes showing an association with PCa risk at false discovery rate (FDR)-corrected threshold (FDR <0.05). Of them, 33 genes were enriched in PCa-related diseases and function categories. Fine-mapping analysis suggested that 21 splicing introns of 19 genes were likely causally associated with PCa risk. Thirty-five splicing introns of 34 novel genes were identified to be related to PCa susceptibility for the first time, and 11 of the genes were enriched in a cancer-related network. Our study identified novel loci and splicing introns associated with PCa risk, which can improve our understanding of the etiology of this common malignancy.

PMID:37486714 | DOI:10.1089/omi.2023.0065

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Association of a Remote Blood Pressure Monitoring Program With Postpartum Adverse Outcomes

Obstet Gynecol. 2023 Jun 1;141(6):1163-1170. doi: 10.1097/AOG.0000000000005197. Epub 2023 May 3.

ABSTRACT

OBJECTIVE: To use administrative claims data to evaluate the association of a remote blood pressure monitoring program with adverse postpartum clinical outcomes in patients with a hypertensive disorder of pregnancy.

METHODS: This was a retrospective cohort study of Independence Blue Cross members with a hypertensive disorder of pregnancy diagnosis across three obstetric hospitals from 2017 to 2021. Patients who were enrolled in twice-daily text-based blood pressure monitoring for 10 days postpartum were compared with two propensity-score matched cohorts of patients who met the program criteria: an asynchronous cohort (cohort A), consisting of patients at any of the three participating hospitals before remote monitoring program implementation, and a contemporaneous cohort (cohort C), consisting of patients at other hospitals during the same time period as clinical use of the program. Patients with less than 16 months of continuous insurance enrollment before delivery were excluded. Claims for adverse clinical outcomes after delivery discharge were evaluated. Health care service utilization and total medical costs were evaluated.

RESULTS: The 1,700 patients in remote blood pressure monitoring program were matched to 1,021 patients in cohort A and 1,276 in cohort C. Within the first 6 months after delivery, patients enrolled in remote monitoring were less likely to have the composite adverse outcome than those in cohort A (2.9% vs 4.7%; OR 0.61, 95% CI 0.40-0.98). There was no statistically significant difference relative to cohort C (3.2% vs 4.5%; OR 0.71, 95% CI 0.47-1.07). The remote monitoring group had more cardiology visits and fewer postnatal emergency department (ED) visits and readmissions compared with both comparison cohorts. Reductions in ED visits and readmissions drove overall lower total medical costs for the program cohort.

CONCLUSION: Patients enrolled in a remote blood pressure monitoring program were less likely to experience an adverse outcome in the first 6 months after delivery. Reductions in ED visits and readmissions resulted in lower postpartum total medical costs compared with both control cohorts. Broad implementation of evidence-based remote monitoring programs may reduce postpartum adverse outcomes, thereby reducing morbidity and mortality in populations such as the one studied here.

PMID:37486653 | DOI:10.1097/AOG.0000000000005197

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Analysis of Social Media Use, Mental Health, and Gender Identity Among US Youths

JAMA Netw Open. 2023 Jul 3;6(7):e2324389. doi: 10.1001/jamanetworkopen.2023.24389.

ABSTRACT

IMPORTANCE: Mental health among children and adolescents is a critical public health issue, and transgender and gender nonbinary youths are at an even greater risk. Social media has been consistently associated with youth mental health, but little is known about how gender identity interacts with this association.

OBJECTIVE: To use a risk and resilience approach to examine the association between social media use and mental health among transgender, gender nonbinary, and cisgender youths.

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study analyzed data collected from an online survey between May and August 2021. Participants included a random sample of US youths; eligibility requirements included being aged 10 to 17 years and residing in the US. Statistical analysis was performed from February to April 2022.

MAIN OUTCOMES AND MEASURES: Social media use (time, type of use, favorite site, social comparisons, mindfulness, taking intentional breaks, cleaning and curating feeds, problematic use, and media literacy programs at their school) and mental health (depression, emotional problems, conduct problems, and body image) as main outcomes.

RESULTS: Participants included 1231 youths aged 10 to 17 years from a national quota sample from the United States; 675 (54.8%) identified as cisgender female, 479 (38.9%) as cisgender male, and 77 (6.3%) as transgender, gender nonbinary, or other; 4 (0.3%) identified as American Indian or Alaska Native, 111 (9.0%) as Asian, 185 (15.0%) as Black, 186 (15.1%) as Hispanic or Latinx, 1 (0.1%) as Pacific Islander, 703 (57.1%) as White, and 41 (3.3%) as mixed and/or another race or ethnicity. Gender identity moderated both the strength and the direction of multiple associations between social media practices and mental health: active social media use (eg, emotional problems: B = 1.82; 95% CI, 0.16 to 3.49; P = .03), cleaning and/or curating social media feeds (eg, depression: B = -0.91; 95% CI, -1.98 to -0.09; P = .03), and taking intentional breaks (eg, depression: B = 1.03; 95% CI, 0.14 to 1.92; P = .02).

CONCLUSIONS AND RELEVANCE: In this cross-sectional study of gender identity, social media, and mental health, gender identity was associated with youths’ experiences of social media in ways that may have distinct implications for mental health. These results suggest that research about social media effects on youths should attend to gender identity; directing children and adolescents to spend less time on social media may backfire for those transgender and gender nonbinary youths who are intentional about creating safe spaces on social media that may not exist in their offline world.

PMID:37486631 | DOI:10.1001/jamanetworkopen.2023.24389

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Consumption of Soft Drinks and Overweight and Obesity Among Adolescents in 107 Countries and Regions

JAMA Netw Open. 2023 Jul 3;6(7):e2325158. doi: 10.1001/jamanetworkopen.2023.25158.

ABSTRACT

IMPORTANCE: Soft drink consumption is associated with weight gain in children and adolescents, but little is known about the association between soft drink consumption and prevalence of the overweight and obesity in adolescents.

OBJECTIVE: To investigate the association of soft drink consumption with overweight and obesity in adolescents enrolled in school (hereafter, school-going adolescents) using country-level and individual-level data.

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used data from 3 cross-sectional studies including 107 countries and regions that participated in the Global School-Based Student Health Survey (2009-2017), the European Health Behavior in School-Aged Children study (2017-2018), and the US Youth Risk Behavior Survey (2019).

EXPOSURE: Daily soft drink consumption (consuming soft drinks 1 or more times per day or not).

MAIN OUTCOME AND MEASURE: Overweight and obesity defined by the World Health Organization Growth Reference Data.

RESULTS: Among the 107 countries and regions, 65 were low- and middle-income, and 42 were high-income countries and regions, with a total of 405 528 school-going adolescents (mean [SD] age, 14.2 [1.7] years; 196 147 [48.4%] males). The prevalence of overweight and obesity among adolescent students varied from 3.3% (95% CI, 2.6 to 4.1) in Cambodia to 64.0% (95% CI, 57.0 to 71.6) in Niue, and the prevalence of adolescent students consuming soft drinks 1 or more times per day varied from 3.3% (95% CI, 2.9 to 3.7) in Iceland to 79.6% (95% CI, 74.0 to 85.3) in Niue. There was a positive correlation between the prevalence of daily soft drink consumption and the prevalence of overweight and obesity (R, 0.44; P < .001). The pooled analysis using individual-level data also showed a statistically significant association between daily soft drink consumption and overweight and obesity (daily soft drink consumption vs nondaily soft drink consumption), with an odds ratio of 1.14 (95% CI, 1.08 to 1.21) among school-going adolescents.

CONCLUSIONS AND RELEVANCE: In this study of 107 countries and regions, the prevalence of daily consumption of soft drinks was associated with the prevalence of overweight and obesity among adolescent students. Our results, in conjunction with other evidence, suggest that reducing soft drink consumption should be a priority in combating adolescent overweight and obesity.

PMID:37486630 | DOI:10.1001/jamanetworkopen.2023.25158

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AI for PET image reconstruction

Br J Radiol. 2023 Jul 24:20230292. doi: 10.1259/bjr.20230292. Online ahead of print.

ABSTRACT

Image reconstruction for positron emission tomography (PET) has been developed over many decades, with advances coming from improved modelling of the data statistics and improved modelling of the imaging physics. However, high noise and limited spatial resolution have remained issues in PET imaging, and state-of-the-art PET reconstruction has started to exploit other medical imaging modalities (such as MRI) to assist in noise reduction and enhancement of PET’s spatial resolution. Nonetheless, there is an ongoing drive towards not only improving image quality, but also reducing the injected radiation dose and reducing scanning times. While the arrival of new PET scanners (such as total body PET) is helping, there is always a need to improve reconstructed image quality due to the time and count limited imaging conditions. Artificial intelligence (AI) methods are now at the frontier of research for PET image reconstruction. While AI can learn the imaging physics as well as the noise in the data (when given sufficient examples), one of the most common uses of AI arises from exploiting databases of high-quality reference examples, to provide advanced noise compensation and resolution recovery. There are three main AI reconstruction approaches: i) direct data-driven AI methods which rely on supervised learning from reference data, ii) iterative (unrolled) methods which combine our physics and statistical models with AI learning from data, and iii) methods which exploit AI with our known models, but crucially can offer benefits even in the absence of any example training data whatsoever. This article reviews these methods, considering opportunities and challenges of AI for PET reconstruction.

PMID:37486607 | DOI:10.1259/bjr.20230292

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Isolated, displaced, talar body fracture: a case report and literature review

Acta Biomed. 2023 Jul 24;94(S1):e2023205. doi: 10.23750/abm.v94iS1.14198.

ABSTRACT

Talar body fractures are uncommon fractures of the foot and its management results to be very hard due to retrograde vascularization and wide articular cartilage coverage of talar surface, which could easily lead to poor functional outcomes, avascular osteonecrosis and early post traumatic arthritis. We describe a case of displaced, vertical, talar body fracture in a 41-year-old patient treated with reduction and fixation by talar anteromedial approach coupled to medial malleolar osteotomy to better expose the fracture. Our literature review has found few studies, in addition with a low level of statistical evidence. We advocate for more studies with a bigger sample and with a design of randomized control trials.

PMID:37486598 | DOI:10.23750/abm.v94iS1.14198

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Dereplication of Lantana trifolia L. leaves and fruits by UFLC-DAD-(+)-ESI-MS/MS and its antifungal and cytotoxic activities

Metabolomics. 2023 Jul 24;19(8):68. doi: 10.1007/s11306-023-02032-8.

ABSTRACT

INTRODUCTION: Lantana trifolia L. (Verbenaceae) is a shrubby plant. In folk medicine, its leaves are used in the form of infusions and syrups to treat angina, coughs, and colds; they are also applied as tranquilizer. Previous studies have reported the antimicrobial potential of the compounds present in L. trifolia leaves.

OBJECTIVES: To report the anti-Candida activities of the fractions obtained from the fruits and leaves of two L. trifolia specimens.

METHODS: The L. trifolia fractions were submitted to UFLC-DAD-(+)-ESI-MS/MS, and the data were analyzed by using multivariate statistical tools (PCA, PLS-DA) and spectral similarity analyses based on molecular networking, which aided dereplication of the bioactive compounds. Additionally, NMR analyses were performed to confirm the chemical structure of some of the major compounds in the fractions.

RESULTS: The ethyl acetate fractions presented MIC values lower than 100 µg mL-1 against the three Candida strains evaluated herein (C. albicans, C. tropicalis, and C. glabrata). Fractions FrPo AcOEt, FrPe AcOEt, and FrPe nBut had MIC values of 1.46, 2.93, and 2.93 µg mL-1 against C. glabrata, respectively. These values resembled the MIC value of amphotericin B, the positive control (0.5-1.0 µg mL-1), against this same strain. Cytotoxicity was measured and used to calculate the selectivity index.

CONCLUSION: On the basis of our data, the most active fractions in the antifungal assay were more selective against C. glabrata than against non-infected cells. The analytical approach adopted here allowed us to annotate 29 compounds, nine of which were bioactive (PLS-DA results) and belong to the class of phenolic compounds.

PMID:37486581 | DOI:10.1007/s11306-023-02032-8

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Impact of COVID-19 and effects of booster vaccination with BNT162b2 on six-month long COVID symptoms, quality of life, work productivity and activity impairment during Omicron

J Patient Rep Outcomes. 2023 Jul 24;7(1):77. doi: 10.1186/s41687-023-00616-5.

ABSTRACT

BACKGROUND: Longitudinal estimates of long COVID burden during Omicron remain limited. This study characterized long-term impacts of COVID-19 and booster vaccination on symptoms, Health-Related Quality of Life (HRQoL), and Work Productivity Activity Impairment (WPAI).

METHODS: Outpatients with ≥ 1 self-reported symptom and positive SARS-CoV-2 test at CVS Health United States test sites were recruited between 01/31 and 04/30/2022. Symptoms, EQ-5D and WPAI were collected via online surveys until 6 months following infection. Both observed and model-based estimates were analyzed. Effect sizes based on Cohen’s d quantified the magnitude of outcome changes over time, within and between vaccination groups. Mixed models for repeated measures were conducted for multivariable analyses, adjusting for covariates. Logistic regression assessed odds ratio (OR) of long COVID between vaccination groups.

RESULTS: At long COVID start (Week 4), 328 participants included 87 (27%) Boosted with BNT162b2, 86 (26%) with a BNT162b2 primary series (Primed), and 155 (47%) Unvaccinated. Mean age was 42.0 years, 73.8% were female, 26.5% had ≥ 1 comorbidity, 36.9% prior infection, and 39.6% reported ≥ 3 symptoms (mean: 3.1 symptoms). At Month 6, among 260 participants, Boosted reported a mean of 1.1 symptoms versus 3.4 and 2.8 in Unvaccinated and Primed, respectively (p < 0.001). Boosted had reduced risks of ≥ 3 symptoms versus Unvaccinated (observed: OR 0.22, 95% CI 0.10-0.47, p < 0.001; model-based: OR 0.36, 95% CI 0.15-0.87, p = 0.019) and Primed (observed: OR 0.29, 95% CI 0.13-0.67, p = 0.003; model-based: OR 0.59, 95% CI 0.21-1.65, p = 0.459). Results were consistent using ≥ 2 symptoms. Regarding HRQoL, among those with long COVID, Boosted had higher EQ-5D Utility Index (UI) than Unvaccinated (observed: 0.922 vs. 0.731, p = 0.014; model-based: 0.910 vs. 0.758, p-value = 0.038) and Primed (0.922 vs. 0.648, p = 0.014; model-based: 0.910 vs. 0.708, p-value = 0.008). Observed and model-based estimates for EQ-VAS and UI among Boosted were comparable with pre-COVID since Month 3. Subjects vaccinated generally reported better WPAI scores.

CONCLUSIONS: Long COVID negatively impacted HRQoL and WPAI. The BNT162b2 booster could have a beneficial effect in reducing the risk and burden of long COVID. Boosted participants reported fewer and less durable symptoms, which contributed to improve HRQoL and maintain WPAI levels. Limitations included self-reported data and small sample size for WPAI.

PMID:37486567 | DOI:10.1186/s41687-023-00616-5

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HN-CLEAR: Head and Neck Consensus Language for Ease and Reproducibility, a Multidisciplinary Consensus Mechanism for Head and Neck Pathology

Head Neck Pathol. 2023 Jul 24. doi: 10.1007/s12105-023-01570-w. Online ahead of print.

NO ABSTRACT

PMID:37486534 | DOI:10.1007/s12105-023-01570-w