Tag: pubmed

J Med Internet Res. 2022 May 20;24(5):e30907. doi: 10.2196/30907.

ABSTRACT

BACKGROUND: Depression is associated with significant morbidity and human capital costs globally. Early screening for depressive symptoms and timely depressive disorder case identification and intervention may improve health outcomes and cost-effectiveness among affected individuals. China’s public and academic communities have reached a consensus on the need to improve access to early screening, diagnosis, and treatment of depression.

OBJECTIVE: This study aims to estimate the screening prevalence and associated factors of subthreshold depressive symptoms among Chinese residents enrolled in the cohort study using a mobile app-based integrated mental health care model and investigate the 12-month incidence rate and related factors of major depressive disorder (MDD) among those with subthreshold depressive symptoms.

METHODS: Data were drawn from the Depression Cohort in China (DCC) study. A total of 4243 community residents aged 18 to 64 years living in Nanshan district, Shenzhen city, in Guangdong province, China, were encouraged to participate in the DCC study when visiting the participating primary health care centers, and 4066 (95.83%) residents who met the DCC study criteria were screened for subthreshold depressive symptoms using the Patient Health Questionnaire-9 at baseline. Of the 4066 screened residents, 3168 (77.91%) with subthreshold depressive symptoms were referred to hospitals to receive a psychiatric diagnosis of MDD within 12 months. Sleep duration, anxiety symptoms, well-being, insomnia symptoms, and resilience were also investigated. The diagnosis of MDD was provided by trained psychiatrists using the Mini-International Neuropsychiatric Interview. Univariate and multivariate logistic regression models were performed to explore the potential factors related to subthreshold depressive symptoms at baseline, and Cox proportional hazards models were performed to explore the potential factors related to incident MDD.

RESULTS: Anxiety symptoms (adjusted odds ratio [AOR] 1.63, 95% CI 1.42-1.87) and insomnia symptoms (AOR 1.13, 95% CI 1.05-1.22) were associated with an increased risk of subthreshold depressive symptoms, whereas well-being (AOR 0.93, 95% CI 0.87-0.99) was negatively associated with depressive symptoms. During the follow-up period, the 12-month incidence rate of MDD among participants with subthreshold depressive symptoms was 5.97% (189/3168). After incorporating all significant variables from the univariate analyses, the multivariate Cox proportional hazards model reported that a history of comorbidities (adjusted hazard ratio [AHR] 1.49, 95% CI 1.04-2.14) and anxiety symptoms (AHR 1.13, 95% CI 1.09-1.17) were independently associated with an increased risk of incident MDD. The 5-item World Health Organization Well-Being Index was associated with a decreased risk of incident MDD (AHR 0.90, 95% CI 0.86-0.94).

CONCLUSIONS: Elevated anxiety symptoms and unfavorable general well-being were significantly associated with subthreshold depressive symptoms and incident MDD among Chinese residents in Shenzhen. Early screening for subthreshold depressive symptoms and related factors may be helpful for identifying populations at high risk of incident MDD.

PMID:35594137 | DOI:10.2196/30907

JMIR Form Res. 2022 May 20;6(5):e34509. doi: 10.2196/34509.

ABSTRACT

BACKGROUND: Mobile health apps can support the self-management of pediatric asthma. Previous studies on mobile apps for children aged >7 years with asthma are limited, and most reports on asthma apps do not consider interactions between the children and their caregivers. Therefore, we developed an asthma app for children aged 0-12 years and their caregivers based on the results of our previous study regarding user needs.

OBJECTIVE: The aim of this study was to evaluate the feasibility of a developed mobile app for children with asthma and their caregivers and to modify and complete the app according to the feasibility results.

METHODS: We recruited children diagnosed with persistent asthma by an allergy specialist at 2 children’s hospitals, 1 university hospital, 2 general hospitals, and 1 pediatric clinic. Thereafter, the app usage was assessed, and questionnaires were administered. This study used convergent mixed methods, including providing user feedback about the pediatric asthma app, completing questionnaire surveys regarding preferences, and obtaining quantitative data about app usage. Quantitative data were analyzed based on the ratings provided for the app features used by the participants, and the usage of the app features was analyzed using descriptive statistics. Qualitative data were analyzed via a descriptive qualitative research analysis and were used to identify codes from the content-characteristic words.

RESULTS: In total, 30 pairs of children aged 2-12 years and their caregivers responded to the 3-month survey, and 20 pairs of children aged 4-12 years and their caregivers responded to the 6-month survey. In the 3- and 6-month surveys, “record” was the most commonly used feature by both caregivers and children. The average access logs per month among the 20 pairs ranged from 50 to 79 in the 6-month survey. The number of access logs decreased over time. In the qualitative results, app utilization difficulties were identified for 6 categories: record, preparing, alert settings, change settings, mobile phone owner, and display and motivation. Regarding app feasibility, 60% (12/20) of the caregivers strongly agreed or agreed for all evaluation items, while 63% (7/11) of the children strongly agreed or agreed for 6 items, excluding satisfaction. In the qualitative results, feasibility evaluation of the app was classified into 3 categories: high feasibility of the app, improvement points for the app, and personal factors preventing app utilization. Based on the results of the feasibility analysis, the final version of the app was modified and completed.

CONCLUSIONS: The app feasibility among children with asthma and their caregivers was generally good. Children aged 7-12 years used elements such as record, quiz, and manga. This app can support the continuous self-management of pediatric asthma. However, efforts must be taken to maintain and improve the app quality.

TRIAL REGISTRATION: UMIN Clinical Trials Registry UMIN000039058; https://tinyurl.com/3na9zyf8.

PMID:35594073 | DOI:10.2196/34509

Phys Rev Lett. 2022 May 6;128(18):184101. doi: 10.1103/PhysRevLett.128.184101.

ABSTRACT

Nonlinear integrable equations serve as a foundation for nonlinear dynamics, and fractional equations are well known in anomalous diffusion. We connect these two fields by presenting the discovery of a new class of integrable fractional nonlinear evolution equations describing dispersive transport in fractional media. These equations can be constructed from nonlinear integrable equations using a widely generalizable mathematical process utilizing completeness relations, dispersion relations, and inverse scattering transform techniques. As examples, this general method is used to characterize fractional extensions to two physically relevant, pervasive integrable nonlinear equations: the Korteweg-deVries and nonlinear Schrödinger equations. These equations are shown to predict superdispersive transport of nondissipative solitons in fractional media.

PMID:35594099 | DOI:10.1103/PhysRevLett.128.184101

J Med Internet Res. 2022 May 20;24(5):e32002. doi: 10.2196/32002.

ABSTRACT

BACKGROUND: In recent years, the rapid development of information and communications technology enabled by innovations in videoconferencing solutions and the emergence of connected medical devices has contributed to expanding the scope of application and expediting the development of telemedicine.

OBJECTIVE: This study evaluates the use of teleconsultations (TCs) for specialist consultations at hospitals in terms of costs, resource consumption, and patient travel time. The key feature of our evaluation framework is the combination of an economic evaluation through a cost analysis and a performance evaluation through a discrete-event simulation (DES) approach.

METHODS: Three data sets were used to obtain detailed information on the characteristics of patients, characteristics of patients’ residential locations, and usage of telehealth stations. A total of 532 patients who received at least one TC and 18,559 patients who received solely physical consultations (CSs) were included in the initial sample. The TC patients were recruited during a 7-month period (ie, 2020 data) versus 19 months for the CS patients (ie, 2019 and 2020 data). A propensity score matching procedure was applied in the economic evaluation. To identify the best scenarios for reaping the full benefits of TCs, various scenarios depicting different population types and deployment strategies were explored in the DES model. Associated break-even levels were calculated.

RESULTS: The results of the cost evaluation reveal a higher cost for the TC group, mainly induced by higher volumes of (tele)consultations per patient and the substantial initial investment required for TC equipment. On average, the total cost per patient over 298 days of follow-up was €356.37 (US $392) per TC patient and €305.18 (US $336) per CS patient. However, the incremental cost of TCs was not statistically significant: €356.37 – €305.18 = €51.19 or US $392 – US $336 = US $56 (95% CI -35.99 to 114.25; P=.18). Sensitivity analysis suggested heterogeneous economic profitability levels within subpopulations and based on the intensity of use of TC solutions. In fact, the DES model results show that TCs could be a cost-saving strategy in some cases, depending on population characteristics, the amortization speed of telehealth equipment, and the locations of telehealth stations.

CONCLUSIONS: The use of TCs has the potential to lead to a major organizational change in the health care system in the near future. Nevertheless, TC performance is strongly related to the context and deployment strategy involved.

PMID:35594065 | DOI:10.2196/32002

JMIR Pediatr Parent. 2022 May 20;5(2):e25086. doi: 10.2196/25086.

ABSTRACT

BACKGROUND: Any delays in language development may affect learning, profoundly influencing personal, social, and professional trajectories. The effectiveness of the Sign 4 Big Feelings (S4BF) intervention was investigated by measuring changes in early years outcomes (EYOs) after a 3-month period.

OBJECTIVE: This study aims to determine whether children’s well-being and EYOs significantly improve (beyond typical, expected development) after the S4BF intervention period and whether there are differences between boys and girls in progress achieved.

METHODS: An evaluation of the S4BF intervention was conducted with 111 preschool-age children in early years settings in Luton, United Kingdom. Listening, speaking, understanding, and managing feelings and behavior, in addition to the Leuven well-being scale, were assessed in a quasi-experimental study design to measure pre- and postintervention outcomes.

RESULTS: Statistically and clinically significant differences were found for each of the 7 pre- and postmeasures evaluated: words understood and spoken, well-being scores, and the 4 EYO domains. Gender differences were negligible in all analyses.

CONCLUSIONS: Children of all abilities may benefit considerably from S4BF, but a language-based intervention of this nature may be transformational for children who are behind developmentally, with English as an additional language, or of lower socioeconomic status.

TRIAL REGISTRATION: ISRCTN Registry ISRCTN42025531; https://doi.org/10.1186/ISRCTN42025531.

PMID:35594062 | DOI:10.2196/25086

JAMA Netw Open. 2022 May 2;5(5):e2213014. doi: 10.1001/jamanetworkopen.2022.13014.

ABSTRACT

IMPORTANCE: Alcohol-associated liver disease (ALD) is one of the most devastating complications of alcohol use disorder (AUD), an increasingly prevalent condition. Medical addiction therapy for AUD may play a role in protecting against the development and progression of ALD.

OBJECTIVE: To ascertain whether medical addiction therapy was associated with an altered risk of developing ALD in patients with AUD.

DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study used the Mass General Brigham Biobank, an ongoing research initiative that had recruited 127 480 patients between its start in 2010 and August 17, 2021, when data for the present study were retrieved. The mean follow-up duration from AUD diagnosis was 9.2 years. International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnosis codes were used to identify ALD and AUD diagnoses.

EXPOSURES: Medical addiction therapy was defined as the documented use of disulfiram, acamprosate, naltrexone, gabapentin, topiramate, or baclofen. Patients were considered to be treated if they initiated medical addiction therapy before the relevant outcome.

MAIN OUTCOMES AND MEASURES: Adjusted odds ratios (aORs) for the development of ALD and hepatic decompensation were calculated and adjusted for multiple risk factors.

RESULTS: The cohort comprised 9635 patients with AUD, of whom 5821 were male individuals (60.4%), and the mean (SD) age was 54.8 (16.5) years. A total of 1135 patients (11.8%) had ALD and 3906 patients (40.5%) were treated with medical addiction therapy. In multivariable analyses, medical addiction therapy for AUD was associated with decreased incidence of ALD (aOR, 0.37; 95% CI, 0.31-0.43; P < .001). This association was evident for naltrexone (aOR, 0.67; 95% CI, 0.46-0.95; P = .03), gabapentin (aOR, 0.36; 95% CI, 0.30-0.43; P < .001), topiramate (aOR, 0.47; 95% CI, 0.32-0.66; P < .001), and baclofen (aOR, 0.57; 95% CI, 0.36-0.88; P = .01). In addition, pharmacotherapy for AUD was associated with lower incidence of hepatic decompensation in patients with cirrhosis (aOR, 0.35; 95% CI, 0.23-0.53, P < .001), including naltrexone (aOR, 0.27; 95% CI, 0.10-0.64; P = .005) and gabapentin (aOR, 0.36; 95% CI, 0.23-0.56; P < .001). This association persisted even when medical addiction therapy was initiated only after the diagnosis of cirrhosis (aOR, 0.41; 95% CI, 0.23-0.71; P = .002).

CONCLUSIONS AND RELEVANCE: Results of this study showed that receipt of medical addiction therapy for AUD was associated with reduced incidence and progression of ALD. The associations of individual pharmacotherapy with the outcomes of ALD and hepatic decompensation varied widely.

PMID:35594048 | DOI:10.1001/jamanetworkopen.2022.13014

J Appl Clin Med Phys. 2022 May 20:e13651. doi: 10.1002/acm2.13651. Online ahead of print.

ABSTRACT

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is performed to distinguish between benign and malignant lesions by evaluating the changes in signal intensity of the acquired image (kinetic curve). This study aimed to verify whether the existing breast DCE-MRI analyzed by the sigmoid model can accurately distinguish between benign and invasive ductal carcinoma (IDC) and predict the subtype. A total of 154 patients who underwent breast MRI for detailed breast mass examinations were included in this study (38 with benign masses and 116 with IDC. The sigmoid model involved the acquisition of images at seven timepoints in 1-min intervals to determine the change in signal intensity before and after contrast injection. From this curve, the magnitude of the increase in signal intensity in the early phase, the time to reach the maximum increase, and the slopes in the early and late phases were calculated. The Mann-Whitney U-test was used for the statistical analysis. The IDC group exhibited a significantly larger and faster signal increase in the early phase and a significantly smaller rate of increase in the late phase than the benign group (P < 0.001). The luminal A-like group demonstrated a significantly longer time to reach the maximum signal increase rate than other IDC subtypes (P < 0.05). The sigmoid model analysis of breast DCE-MRI can distinguish between benign lesions and IDC and may also help in predicting luminal A-like breast cancer.

PMID:35594028 | DOI:10.1002/acm2.13651

JAMA Netw Open. 2022 May 2;5(5):e2213154. doi: 10.1001/jamanetworkopen.2022.13154.

ABSTRACT

IMPORTANCE: The emergency department (ED) discharge process often involves haste and poor communication.

OBJECTIVES: To assess the association of an automated telephone call 2 days after ED discharge with the likelihood of an unplanned ED revisit at both 72 hours and 7 days after the index visit and with perceived care metrics measured at 14 days.

DESIGN, SETTING, AND PARTICIPANTS: This prospective nonrandomized clinical trial was conducted at a single academically affiliated county emergency department among 8110 patients presenting to and discharged from the ED during a 10-week period from June 25 to August 30, 2018. Initial statistical analysis was performed from February 1 to November 30, 2020, with additional analyses performed from March 1 to 16, 2022.

INTERVENTIONS: Participants were allocated in a nonrandom fashion to 1 of 2 groups: patients who received an automated telephone call 2 days after discharge were compared with patients who received no call 2 days after discharge. All patients received a telephone questionnaire at 14 days to assess secondary outcome measures.

MAIN OUTCOMES AND MEASURES: The primary outcome was a return visit to the ED at 7 days. Secondary outcomes included a return visit to the ED within 72 hours, a return visit to the ED within 7 days resulting in hospital admission, and patient-reported perceptions of their care measured by 4 questions related to quality metrics assessed at 14 days. A secondary analysis compared patients who actually responded to the initial call at 2 days with all nonresponders, regardless of whether they received a call. Analyses were made on an intention-to-treat basis.

RESULTS: More than 15 000 patients were seen in the ED during the 10-week study period, and 10 948 were discharged. A total of 8110 patient encounters (4460 male patients [55.0%]; 3313 Hispanic patients [40.9%]; mean [SD] age, 40.5 [19.4] years) were enrolled. A total of 2958 patients (36.5%) received an automated telephone call at 2 days after discharge, while 5152 (63.5%) received no call. Rates of ED return within 7 days of the initial index visit were significantly lower among those who received a call at 2 days than those who did not receive a call (224 of 2958 [7.6%] vs 533 of 5152 [10.3%]; P < .001). Patients who received a 2-day call were more likely than those who did not receive a call to have followed up with a health care clinician (67.9% [374 of 551] vs 66.3% [604 of 911]), understood their health issues (77.5% [490 of 632] vs 74.9% [780 of 1042]), and have received their discharge medications (87.0% [507 of 583] vs 83.6% [793 of 949]), although none of these differences between the 2 groups were statistically significant.

CONCLUSIONS AND RELEVANCE: A telephone call to patients 2 days after discharge from the ED was associated with decreased ED use at 7 days after the index visit and may have been associated with marginal improvements in measured quality of care metrics.

PMID:35594046 | DOI:10.1001/jamanetworkopen.2022.13154

Dermatol Ther. 2022 May 20:e15586. doi: 10.1111/dth.15586. Online ahead of print.

ABSTRACT

INTRODUCTION: Doxycilicine is the second-line treatment of choice for infectious syphilis when treatment with penicillin G is not feasible. To date, difficulties in the penicillin supply chain make it necessary to evaluate and resort to antibiotic therapies which are currently considered a second-line choice. Moreover, systematic studies comparing the two treatments in affected patients are still few, and many do not consider late and indeterminate latent infections.

OBJECTIVES: The objective of this study was to assess the differences in the serological response of the treatment of syphilis infections with benzathine penicillin compared with doxycycline.

METHODS: We built an in-house database with all patients diagnosed with syphilis infection from January 2010 to January 2020 in the STD Centre of the S.Orsola-Malpighi Polyclinic of the University of Bologna, located in the North-east of Italy. We recorded all the principal independent (demographic, social status, reinfection rare, HIV infections, comorbidities, sexual behaviours and initial TPHA values) and dependent variables (RPR values). We then extrapolated all patients treated with doxycycline (100 mg of doxycycline twice daily for 14 days for infections diagnosed within the first year and a 28 days course for infections older than one year or undetermined) and matched in 1:1 ratio numbers with a homogeneous group of patients treated with penicillin G (2.4 million units in a single dose intramuscularly for infections diagnosed within the first year and a cycle consisting in of 2.4 million units administred in a single dose per week for three weeks for infections older than one year or undetermined) We then analyzed the serological trends and outcomes in the primary, secondary and early latent subgroups versus late latent and undetermined infections.

RESULTS: We retrieved 41 patients for each group with homogeneous initial characteristics. At the end of the 24-month observation period, a slight difference in a valid RPR reduction rate emerged, with a greater success rate emerged in patients receiving penicillin than those with doxycycline (26 vs 22, P 0.615). Indeed, patients with latent or indeterminate syphilis treated with doxycycline appear to have a higher rate of serofast than those treated with penicillin. Linear regression analysis showed no strong correlation between the analyzed independent variables and the observed outcomes.

CONCLUSION: Doxycycline had a slightly lower, though not statistically different, success rate when compared with penicillin in treating primary syphilis, but had a lower success rate in attaining resolution in late and undetermined syphilis infection. This article is protected by copyright. All rights reserved.

PMID:35594004 | DOI:10.1111/dth.15586

Environ Sci Pollut Res Int. 2022 May 20. doi: 10.1007/s11356-022-20787-w. Online ahead of print.

ABSTRACT

The present study attempts to delineate wetlands in the lower Tangon river basin in the Barind flood plain region using spectral water body extraction indices. The main objectives of this present study are simulating and predicting wetland areas using the advanced artificial neural network-based cellular automata (ANN-CA) model and water depth using statistical (adaptive exponential smoothing) as well as advanced machine learning algorithms such as Bagging, Random Subspace, Random Forest, Support vector machine, etc. The result shows that RmNDWI and NDWI are the representative wetland delineating indices. NDWI map was used for water depth prediction. Regarding the prediction of wetland areas, a remarkable decline is likely to be identified in the upcoming two decades. The small wetland patches away from the master stream are expected to dry out during the predicted period, where the major wetland patches nearer to the master stream with greater water depth are rather sustainable, but their depth of water is predicted to be reduced in the next decades. All models show satisfactory performance for wetland depth mapping, but the random subspace model was identified as the best-suited water depth predicting method with an acceptable prediction accuracy (root mean square error <0.34 in all the years) and the machine learning models explored better result than adaptive exponential smoothing. This recent study will be very helpful for the policymakers for managing wetland landscape as well as the natural environment.

PMID:35593982 | DOI:10.1007/s11356-022-20787-w