Nevin Manimala

Technol Health Care. 2024 Apr 15. doi: 10.3233/THC-248031. Online ahead of print.

ABSTRACT

BACKGROUND: A growing body of evidence has shown that activating spinal cord glial cells (typically astrocytes and microglial cells) is closely related to hyperpathia and persistent pain.

OBJECTIVE: To investigate the expression of GFAP and CR3/CD11b in cornu dorsale medullae spinalis of rats with nonbacterial prostatitis, to explore the therapeutic efficacy and action mechanism of intrathecal injection of BNP alleviating chronic neuropathic pain.

METHODS: Eighteen male SPF SD rats were randomly divided into sham operation control group, nonbacterial prostatitis group (NBP) and intrathecal injection BNP group, the NBP model was established by intraprostatic injection of CFA, and the spinal cord of L6-S1 segment was extracted seven days after intrathecal injection of BNP; The expression of GFAP and CR3/CD11b in dorsal horn of spinal cord were detected by immunofluorescence and Western blot.

RESULTS: The cumulative optical density values of GFAP and CR3/CD11b immunofluorescence assay in the NBP group were higher than those in the sham operation group, with statistical significance (p⁢ï⁢¼⁢ 0.01); The expression of GFAP and CR3/CD11b in intrathecal injection BNP group were lower than those in NBP group, the differences were statistically significant (p⁢ï⁢¼⁢ 0.01). Western blot results showed that the expression of GFAP and CR3/CD11B in NBP group were higher than those in sham operation group, with statistical significance (p⁢ï⁢¼⁢ 0.05). The expression of GFAP and CR3/CD11B in intrathecal injection BNP group were lower than those in NBP group, the differences were statistically significant (p⁢ï⁢¼⁢ 0.05).

CONCLUSION: Intrathecal injection of BNP can down-regulate the expressions of GFAP and CR3/CD11b in L6-S1 spinal cord of NBP rat model and to further inhibit chronic pain caused by NBP.

PMID:38759060 | DOI:10.3233/THC-248031

Technol Health Care. 2024 Apr 25. doi: 10.3233/THC-248016. Online ahead of print.

ABSTRACT

BACKGROUND: Brain tumor is a highly destructive, aggressive, and fatal disease. The presence of brain tumors can disrupt the brain’s ability to control body movements, consciousness, sensations, thoughts, speech, and memory. Brain tumors are often accompanied by symptoms like epilepsy, headaches, and sensory loss, leading to varying degrees of cognitive impairment in affected patients.

OBJECTIVE: The study goal is to develop an effective method to detect and segment brain tumor with high accurancy.

METHODS: This paper proposes a novel U-Net+⁣+ network using EfficientNet as the encoder to segment brain tumors based on MRI images. We adjust the original U-Net+⁣+ model by removing the dense skip connections between sub-networks to simplify computational complexity and improve model efficiency, while the connections of feature maps at the same resolution level are retained to bridge the semantic gap.

RESULTS: The proposed segmentation model is trained and tested on Kaggle’s LGG brain tumor dataset, which obtains a satisfying performance with a Dice coefficient of 0.9180.

CONCLUSION: This paper conducts research on brain tumor segmentation, using the U-Net+⁣+ network with EfficientNet as an encoder to segment brain tumors based on MRI images. We adjust the original U-Net+⁣+ model to simplify calculations and maintains rich semantic spatial features at the same time. Multiple loss functions are compared in this study and their effectiveness are discussed. The experimental results shows the model achieves a high segmention result with Dice coefficient of 0.9180.

PMID:38759048 | DOI:10.3233/THC-248016

Technol Health Care. 2024 May 2. doi: 10.3233/THC-231868. Online ahead of print.

ABSTRACT

BACKGROUND: Double rocking jump rope training can effectively enhance physical recovery, adaptability to exercise load, and lower limb muscle strength of badminton players in sports colleges, thus offering valuable insights for improving training methods in sports colleges and universities.

OBJECTIVE: To investigate the effect of double rocking jump rope training on the lower limb muscle strength of badminton players specializing in badminton in sports colleges.

METHODS: An experimental study was conducted through a ten-week teaching intervention experiment with badminton players. Relevant heart rate indexes and badminton related lower limb muscle strength indexes were measured before and after the experiment. The data of the measured relevant indexes were statistically and analytically analyzed. At the end of the experiment, the physical recovery level and the heart’s adaptability to the exercise load of the control group were improved, and the lower limb muscle strength test indexes and sports performance were better than before the experiment. In the experimental group, badminton players’ physical function, anaerobic metabolism of the body and other aspects also improved.

RESULTS: The physical function of the experimental group of badminton players, the energy supply capacity of the body anaerobic metabolism and aerobic work capacity all have an enhancement effect, enabling badminton players to adapt to large exercise loads quickly and improve the recovery rate of physical fitness.

CONCLUSION: The introduction of double rocking jump rope into badminton training classes in sports colleges and universities as a means of lower limb muscle strength training is conducive to improving the level of lower limb muscle strength of special badminton players, enriching the teaching and training means of lower limb muscle strength in sports colleges and universities, and broadening the research field of lower limb muscle strength in badminton in sports colleges and universities.

PMID:38759034 | DOI:10.3233/THC-231868

Technol Health Care. 2024 May 11. doi: 10.3233/THC-231470. Online ahead of print.

ABSTRACT

BACKGROUND: Ever since the GALAD (gender-age-Lens culinaris agglutinin-reactive alpha-fetoprotein-alpha-fetoprotein-des-gamma-carboxy prothrombin) logistic regression model was established to diagnose hepatocellular carcinoma (HCC), there has been no high-level evidence that evaluates and summarizes it.

OBJECTIVE: This meta-analysis was performed to assess the diagnostic ability of the GALAD model.

METHODS: The following databases were systematically searched for original diagnostic studies on HCC: PubMed, Embase, Medline, the Web of Science, Cochrane Library, China National Knowledge Infrastructure Wanfang (China), Wiper and the Chinese BioMedical Literature Database. After screening the search results according to our criteria, the Quality Assessment of Diagnostic Accuracy Studies 2 tool was used to evaluate the methodologic qualities, and statistical software were used to output the statistics.

RESULTS: Ultimately, 10 studies were included and analyzed. The results revealed the pooled sensitivity and specificity of the GALAD model to be 0.86 (95% confidence interval [CI]: 0.82, 0.90) and 0.90 (95% CI: 0.87, 0.92), respectively, for all-stage HCC. The area under the curve (AUC) was 0.94. For early-stage HCC, the pooled sensitivity and specificity of the GALAD model were 0.83 (95% CI: 0.78, 0.87) and 0.81 (95% CI: 0.78, 0.83), respectively. The AUC was 0.90.

CONCLUSION: This meta-analysis confirmed that the GALAD model has excellent diagnostic performance for early-stage and all-stage HCC and can maintain high sensitivity and specificity in early-stage HCC. Therefore, the GALAD model is qualified for screening early-stage canceration from chronic liver disease.

PMID:38759033 | DOI:10.3233/THC-231470

J Neonatal Perinatal Med. 2024;17(2):233-239. doi: 10.3233/NPM-230194.

ABSTRACT

INTRODUCTION: Respiratory Distress Syndrome (RDS) is the most common respiratory disorder among premature infants. The use of surfactant has significantly reduced respiratory complications and mortality. There are two conventional methods for administering surfactant: Intubate-Surfactant-Extubate (INSURE) and Less Invasive Surfactant Administration (LISA). This study aims to compare the effects of surfactant administration using these two methods on the treatment outcomes of premature newborns.

MATERIALS AND METHODS: In this retrospective cohort study, we included 100 premature newborns with RDS and spontaneous breathing who were admitted to the Neonatal Intensive Care Unit of Besat Hospital in Sanandaj city in 2021. Exclusion criteria comprised congenital anomalies and the needing for intubation for resuscitation at birth. The outcomes of epmericaly trated with two methods were compared: the LISA (50 neonates) and the INSURE (50 neonates). Our interesting outcomes were needing for mechanical ventilation, duration of ventilation, pneumothorax, pulmonary hemorrhage, severe retinopathy, CPAP duration, and bronchopulmonary dysplasia. Finally, we entered the data into STATA-14 statistical software and analyzed it using chi-square and t-tests.

RESULTS: In this study, 69% of the neonates were boys. The LISA group exhibited significantly lower rates of need for mechanical ventilation (P = 0.003) and ventilation duration (P < 0.001) compared to the INSURE group. Conversely, there were no significant differences between the two groups (P > 0.05) in terms of pneumothorax, pulmonary hemorrhage, severe retinopathy, CPAP duration, and bronchopulmonary dysplasia rates.

CONCLUSION: The results of this study suggest that the LISA method is a safe and non-invasive approach for surfactant administration. Notably, it resulted in a reduced need for mechanical ventilation and decreased ventilation duration compared to the INSURE method.

PMID:38759030 | DOI:10.3233/NPM-230194

JMIR Form Res. 2024 May 17;8:e55731. doi: 10.2196/55731.

ABSTRACT

BACKGROUND: Youth overweight and obesity is a public health crisis and increases the risk of poor cardiovascular health (CVH) and chronic disease. Health care providers play a key role in weight management, yet few tools exist to support providers in delivering tailored evidence-based behavior change interventions to patients.

OBJECTIVE: The goal of this pilot randomized feasibility study was to determine the feasibility of implementing the Patient-Centered Real-Time Intervention (PREVENT) tool in clinical settings, generate implementation data to inform scale-up, and gather preliminary effectiveness data.

METHODS: A pilot randomized clinical trial was conducted to examine the feasibility, implementation, and preliminary impact of PREVENT on patient knowledge, motivation, behaviors, and CVH outcomes. The study took place in a multidisciplinary obesity management clinic at a children’s hospital within an academic medical center. A total of 36 patients aged 12 to 18 years were randomized to use PREVENT during their routine visit (n=18, 50%) or usual care control (n=18, 50%). PREVENT is a digital health tool designed for use by providers to engage patients in behavior change education and goal setting and provides resources to support change. Patient electronic health record and self-report behavior data were collected at baseline and 3 months after the intervention. Implementation data were collected via PREVENT, direct observation, surveys, and interviews. We conducted quantitative, qualitative, and mixed methods analyses to evaluate pretest-posttest patient changes and implementation data.

RESULTS: PREVENT was feasible, acceptable, easy to understand, and helpful to patients. Although not statistically significant, only PREVENT patients increased their motivation to change their behaviors as well as their knowledge of ways to improve heart health and of resources. Compared to the control group, PREVENT patients significantly improved their overall CVH and blood pressure (P<.05).

CONCLUSIONS: Digital tools can support the delivery of behavior change counseling in clinical settings to increase knowledge and motivate patients to change their behaviors. An appropriately powered trial is necessary to determine the impact of PREVENT on CVH behaviors and outcomes.

TRIAL REGISTRATION: ClinicalTrials.gov NCT06121193; https://www.clinicaltrials.gov/study/NCT06121193.

PMID:38758581 | DOI:10.2196/55731

J Med Internet Res. 2024 May 17;26:e55913. doi: 10.2196/55913.

ABSTRACT

BACKGROUND: Suicide is the second-leading cause of death among adolescents and is associated with clusters of suicides. Despite numerous studies on this preventable cause of death, the focus has primarily been on single nations and traditional statistical methods.

OBJECTIVE: This study aims to develop a predictive model for adolescent suicidal thinking using multinational data sets and machine learning (ML).

METHODS: We used data from the Korea Youth Risk Behavior Web-based Survey with 566,875 adolescents aged between 13 and 18 years and conducted external validation using the Youth Risk Behavior Survey with 103,874 adolescents and Norway’s University National General Survey with 19,574 adolescents. Several tree-based ML models were developed, and feature importance and Shapley additive explanations values were analyzed to identify risk factors for adolescent suicidal thinking.

RESULTS: When trained on the Korea Youth Risk Behavior Web-based Survey data from South Korea with a 95% CI, the XGBoost model reported an area under the receiver operating characteristic (AUROC) curve of 90.06% (95% CI 89.97-90.16), displaying superior performance compared to other models. For external validation using the Youth Risk Behavior Survey data from the United States and the University National General Survey from Norway, the XGBoost model achieved AUROCs of 83.09% and 81.27%, respectively. Across all data sets, XGBoost consistently outperformed the other models with the highest AUROC score, and was selected as the optimal model. In terms of predictors of suicidal thinking, feelings of sadness and despair were the most influential, accounting for 57.4% of the impact, followed by stress status at 19.8%. This was followed by age (5.7%), household income (4%), academic achievement (3.4%), sex (2.1%), and others, which contributed less than 2% each.

CONCLUSIONS: This study used ML by integrating diverse data sets from 3 countries to address adolescent suicide. The findings highlight the important role of emotional health indicators in predicting suicidal thinking among adolescents. Specifically, sadness and despair were identified as the most significant predictors, followed by stressful conditions and age. These findings emphasize the critical need for early diagnosis and prevention of mental health issues during adolescence.

PMID:38758578 | DOI:10.2196/55913

Transl Vis Sci Technol. 2024 May 1;13(5):12. doi: 10.1167/tvst.13.5.12.

ABSTRACT

PURPOSE: To evaluate the visual performance in adolescents undergoing orthokeratology (OrthoK) treatment with two different optical zone diameters (OZDs).

METHODS: This randomized, double-masked, self-controlled prospective study was conducted at Tianjin Eye Hospital (Tianjin, China) in June 2022. Thirty-six eligible schoolchildren were enrolled and fitted with corneal refractive therapy lenses with two sizes of OZDs (5 mm [5OZ] and 6 mm [6OZ]). Each participant was randomized to wear the 5OZ in one eye and the 6OZ in the contralateral eye. Subjective visual quality was assessed using visual acuity, refraction, contrast sensitivity function, and visual symptoms, and the objective optical quality was assessed using ocular higher order aberrations (HOAs) and modulation transfer function (MTF).

RESULTS: Thirty-five myopic children completed a 1-month follow-up visit. The 5OZ lens induced significantly smaller treatment zone diameters than the 6OZ lens (P < 0.001). Subjective visual quality did not differ significantly between the two groups. Compared to baseline, aberrations of Z40, coma-like, spherical-like, and total HOAs in both groups increased significantly (P < 0.05). For the 3-mm pupils, spherical aberration in the 5OZ group was significantly higher than that in the 6OZ group (P < 0.05). The MTF value of the 6OZ group was significantly higher than that of 5OZ group for 0.3 and 1.5 cycles per degree for the 3-mm pupils (P = 0.006 and P = 0.026, respectively). However, HOAs or MTF did not differ significantly between the two groups for the 5-mm pupils.

CONCLUSIONS: The difference induced by varying OZD was significant only in the smaller pupil condition. The selection of OZD in OrthoK designs in real-world patient management should be done while considering individual pupil size.

TRANSLATIONAL RELEVANCE: This study revealed that the objective visual quality of small OZD lenses was only slightly affected for the small pupil size.

PMID:38758570 | DOI:10.1167/tvst.13.5.12

JAMA Health Forum. 2024 May 3;5(5):e241077. doi: 10.1001/jamahealthforum.2024.1077.

ABSTRACT

IMPORTANCE: Controlled substances have regulatory requirements under the US Federal Controlled Substance Act that must be met before pharmacies can stock and dispense them. However, emerging evidence suggests there are pharmacy-level barriers in access to buprenorphine for treatment for opioid use disorder even among pharmacies that dispense other opioids.

OBJECTIVE: To estimate the proportion of Medicaid-participating community retail pharmacies that dispense buprenorphine, out of Medicaid-participating community retail pharmacies that dispense other opioids and assess if the proportion dispensing buprenorphine varies by Medicaid patient volume or rural-urban location.

DESIGN, SETTING, AND PARTICIPANTS: This serial cross-sectional study included Medicaid pharmacy claims (2016-2019) data from 6 states (Kentucky, Maine, North Carolina, Pennsylvania, Virginia, West Virginia) participating in the Medicaid Outcomes Distributed Research Network (MODRN). Community retail pharmacies serving Medicaid-enrolled patients were included, mail-order pharmacies were excluded. Analyses were conducted from September 2022 to August 2023.

MAIN OUTCOMES AND MEASURES: The proportion of pharmacies dispensing buprenorphine approved for opioid use disorder among pharmacies dispensing an opioid analgesic or buprenorphine prescription to at least 1 Medicaid enrollee in each state. Pharmacies were categorized by median Medicaid patient volume (by state and year) and rurality (urban vs rural location according to zip code).

RESULTS: In 2016, 72.0% (95% CI, 70.9%-73.0%) of the 7038 pharmacies that dispensed opioids also dispensed buprenorphine to Medicaid enrollees, increasing to 80.4% (95% CI, 79.5%-81.3%) of 7437 pharmacies in 2019. States varied in the percent of pharmacies dispensing buprenorphine in Medicaid (range, 73.8%-96.4%), with significant differences between several states found in 2019 (χ2 P < .05), when states were most similar in the percent of pharmacies dispensing buprenorphine. A lower percent of pharmacies with Medicaid patient volume below the median dispensed buprenorphine (69.1% vs 91.7% in 2019), compared with pharmacies with above-median patient volume (χ2 P < .001).

CONCLUSIONS AND RELEVANCE: In this serial cross-sectional study of Medicaid-participating pharmacies, buprenorphine was not accessible in up to 20% of community retail pharmacies, presenting pharmacy-level barriers to patients with Medicaid seeking buprenorphine treatment. That some pharmacies dispensed opioid analgesics but not buprenorphine suggests that factors other than compliance with the Controlled Substance Act influence pharmacy dispensing decisions.

PMID:38758569 | DOI:10.1001/jamahealthforum.2024.1077