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Commentary on: Todhunter-Brown A, Hazelton C, Campbell P, Elders A, Hagen S, McClurg D. Conservative interventions for treating urinary incontinence in women: an Overview of Cochrane systematic reviews. Cochrane Database Syst Rev. 2022 Sep 2;9(9):CD012337. doi: 10.1002/14651858.CD012337.pub2.
Pelvic floor muscle training is an effective conservative treatment option for managing all types of urinary incontinence (UI) in women in isolation or combined with other measures and should be considered first-line treatment in women with UI. Further research is needed on long-term outcomes of conservative interventions and their impact on quality of life.
Urinary incontinence (UI) is a highly prevalent condition affecting nearly 25% of women, especially in older age groups.
US hospitals are focussing more than ever on meeting important patient social needs. Patients often make multiple trips to hospitals related to nonmedical issues that could likely be averted through the increased integration of case management strategies. Although the percentage of hospitals using advanced practice nurses (APNs) in this role is still relatively low, we explore the idea that employing APN case managers improves hospitals' abilities to alleviate hospital overusage.
The study used a cross-sectional design.
We used the 2021 American Hospital Association data set, which includes 5855 hospitals, of which 4315 were general medical hospitals.
Using descriptive statistics and Poisson regression, we discovered that employing APN case managers in US acute care hospitals is associated with an increased likelihood that hospitals will implement strategies addressing patient social needs.
When hospitals screen patients for social needs and formulate and implement internal and external strategies designed to meet patient social needs, many stakeholders stand to benefit. Should more hospitals observe such benefits when utilizing an APN case manager model, it will likely proliferate, and demand for APNs could accelerate further.
Following the reduction in unnecessary patient visits and readmissions, hospitals' scarce resources are freed up to offer timely care to patients that are truly medically in need. Furthermore, financial performance improves under this scenario. APNs play a critical role in enabling hospitals to realize such benefits.
No patient or public contribution. We used archival data in this study.
Eurycoma longifolia Jack (EL), profoundly recognised as ‘Tongkat Ali’, is a medicinal herb originating from Southeast Asia. It is commonly used in traditional ‘antiageing’ treatments to address decreased energy, mood, libido and hormonal imbalances. While the benefits of EL have been extensively studied among the male population, less attention has been given to its effects on women. Menopause can impact the overall well-being of middle-aged women and incorporation of herbal supplements can aid them in managing the menopausal symptoms.
This 12-week randomised double-blind, placebo-controlled, parallel-group study aims to evaluate the efficacy of the standardised water extract of EL known as Physta in increasing the quality of life of perimenopausal and postmenopausal women. The study involves 150 women aged 40–55 years who score more than 61 on the Menopause-Specific Quality of Life (MENQOL) assessment. These participants will be randomised into three groups, receiving Physta at either 50 mg or 100 mg or a placebo. The outcomes measures include mood state, quality of life, fatigue, sleep quality, sexual function and pain score assessed using Profile of Mood State, MENQOL, Chalder Fatigue Scale, Pittsburgh Sleep Quality Index, Female Sexual Function Index and the Brief Pain Inventory questionnaires, respectively. The secondary outcome of the study includes full blood analysis, urine analysis, female reproductive hormone profiling, inflammatory and oxidative stress biomarkers analysis.
The research protocol of the study was reviewed and approved by the Research Ethics Committee of Universiti Kebangsaan Malaysia (UKM/PPI/111/8/JEP-2021-898). The findings will be disseminated to participants, healthcare professionals and researchers via conference presentations and peer-reviewed publications.
ACTRN12622001341718.
The minimum age for cigarette sales in Thailand was increased from 18 to 20 years, as stipulated in the Tobacco Products Control Act B.E. 2017. This study investigated tobacco retailers’ perceptions, cigarette sales behaviour and other factors relevant to selling cigarettes to people younger than 20 years in areas surrounding schools in Thailand.
Cross-sectional survey.
Tobacco shops within a radius of 500 m of secondary schools across four regions of Thailand. Data collection took place between May and August 2019.
1440 tobacco retailers (grocery or convenience stores) were sampled via a stratified, two-stage cluster sampling method. 1021 retailers completed the self-administered questionnaire.
Tobacco sales to people younger than 20 years.
The prevalence of the retailers’ cigarette sales to youth younger than 20 years was 38.20% (95% CI 35.2% to 41.3%). Multivariable logistic regression analysis revealed associations with sale of single cigarettes (adjusted OR (AOR) 23.14, 95% CI 15.13 to 35.39), self-service sale of cigarettes (4.21, 2.59 to 6.86) and display of cigarettes at the point of sale (2.39, 1.47 to 3.89). Cigarette sales to underage youth were higher among retailers located in the northeast region (AOR 2.09, 95% CI 1.20 to 3.64) and among those who did not perceive the prosecution of violators in the past year (1.85, 1.16 to 2.96).
A large percentage of cigarette retailers violated the laws related to underage cigarette sales. Measures to minimise retailers’ legally non-compliant sales behaviours should be implemented along with improved legal enforcement.
Nearly 30 000 Mexican women develop breast cancer annually, frequently presenting unmet supportive care needs. In high-income countries, incorporating electronic patient-reported outcomes (ePROs) into cancer care has demonstrated potential for increasing patient-centred care and reducing unmet needs. No such ePRO interventions have been implemented in Mexico. This paper presents the study protocol for designing and evaluating an ePRO digital health application combined with proactive follow-up by nurses.
We designed a two-component intervention for women receiving breast cancer treatment: a responsive web application for monitoring ePROs and clinical algorithms guiding proactive follow-up by nurses. We will conduct a pilot test of the intervention with 50 patients with breast cancer for 6 weeks to assess feasibility and adjust the application. We will conduct a parallel arm randomised controlled trial assigning 205 patients each to intervention and control in one of Mexico’s largest public oncology hospitals. The intervention will be provided for 6 months, with additional 3 months of post-intervention observation. The control group will receive usual healthcare and a list of breast cancer information sources. Women diagnosed with stages I, II or III breast cancer who initiate chemotherapy and/or radiotherapy will be invited to participate. The primary study outcome will be supportive care needs; secondary outcomes include global quality of life and breast symptoms. Information on the outcomes will be obtained through web-based self-administered questionnaires collected at baseline, 1, 3, 6 and 9 months.
The National Research and Ethics Committees of the Mexican Institute of Social Security approved the study (R-2021-785-059). Participants will sign an informed consent form prior to their inclusion. Findings will be disseminated through a policy brief to the local authorities, a webinar for patients, publications in peer-reviewed journals and presentations at national and international conferences.
Emergency percutaneous coronary intervention (PCI) can quickly restore myocardial perfusion after acute coronary syndrome. Whether and which lipid-lowering regimens are effective in reducing major adverse cardiovascular events (MACEs) and mortality risk after PCI remain unclear.
This study assessed the benefits of different lipid-lowering regimens on the risk of MACEs and mortality in the post-PCI population by network meta-analysis.
Public databases, including PubMed, Embase and the Cochrane Library, were searched from inception to August 2022. Randomised controlled trials (RCTs) on lipid-lowering regimens in post-PCI populations were included and analysed. The outcomes were the incidence of all-cause mortality and MACEs, whether reported as dichotomous variables or as HRs.
Thirty-nine RCTs were included. For MACEs, alirocumab plus rosuvastatin (OR: 0.18; 95% CI: 0.07 to 0.44), evolocumab plus ezetimibe and statins (OR: 0.19; 95% CI: 0.06 to 0.59), eicosapentaenoic acid (EPA) plus pitavastatin (HR: 0.67; 95% CI: 0.49 to 0.96) and icosapent ethyl plus statins (HR: 0.73; 95% CI: 0.62 to 0.86) had significant advantages and relatively high rankings. For mortality, rosuvastatin (OR: 0.30; 95% CI: 0.11 to 0.84), ezetimibe plus statins (OR: 0.55; 95% CI: 0.43 to 0.89) and icosapent ethyl plus statins (OR: 0.66; 95% CI: 0.45 to 0.96) had significant advantages compared with the control.
EPA, especially icosapent ethyl, plus statins had a beneficial effect on reducing the risk of MACEs and mortality in post-PCI patients. Proprotein convertase subtilisin/kexin type-9 inhibitors plus statins were able to reduce the risk of MACEs, but the risk of mortality remained unclear.
CRD42018099600.
by Camilla Michalski, Apira Ragunathan, Adrian Foster, Lief Pagalan, Casey Chu, Lori M. Diemert, John F. Helliwell, Diana Urajnik, Ruth Speidel, Tina Malti, Dianne Fierheller, Laura Fusca, Ian Zenlea, Scott McKean, Laura C. Rosella
BackgroundUnderstanding what promotes or hinders a community’s capacity to serve the priorities of its residents is essential for the alignment of citizen needs and governance. Participatory approaches that engage community residents on the topic of community wellbeing are useful methods for defining outcomes that reflect a community’s goals and priorities. Using qualitative focus group methods, the aim of this study was to outline bottom-up definitions of community wellbeing from a diverse pool of community residents in Ontario, Canada.
MethodsSemi-structured, two-hour group interviews were conducted with adult (≥18 years) participants (N = 15) residing in four communities across Canada’s largest province of Ontario. Participants were purposively selected from a pool of screening questionnaires to ensure diverse group compositions based on race, gender, age, and educational attainment. Interviews were thematically analysed using descriptive and interpretive methods to characterize resident conceptions of community wellbeing.
ResultsFocus group participants were between 18 and 75 years of age and most had lived in their local community for 5 or more years. Four major themes emerged: (1) a sense of community belonging is cultivated through shared spaces, routines, support, and identities; (2) a community constitutes the amenities and social contexts that enable residents to thrive; (3) effective regional decision-making must be community-informed; and (4) the wellbeing of a community relies on equal opportunities for engagement and participation.
ConclusionsResidents described their communities and their associated wellbeing as a combination of accessible amenities and opportunities to engage without marginalization. This study underscores the value of participatory approaches in community wellbeing research, where the viewpoint and life experience of residents is used to inform local decision-making and service delivery. Future research will capture more diverse perspectives towards community belonging, particularly from community newcomers, for the development of regionally appropriate indicators of community wellbeing.
by Samina Ali, Claudia Maki, Asa Rahimi, Keon Ma, Maryna Yaskina, Helen Wong, Antonia Stang, Tania Principi, Naveen Poonai, Serge Gouin, Sylvia Froese R. N., Paul Clerc, Redjana Carciumaru, Waleed Alqurashi, Manasi Rajagopal, Elise Kammerer, Julie Leung, Bruce Wright, Shannon D. Scott, on behalf of the Pediatric Emergency Research Canada Family Needs Study Group
ObjectivesTo describe the extent to which caregivers’ emotional and communication needs were met during pediatric emergency department (PED) visits. Secondary objectives included describing the association of caregiver emotional needs, satisfaction with care, and comfort in caring for their child’s illness at the time of discharge with demographic characteristics, caregiver experiences, and ED visit details.
Study designElectronic surveys with medical record review were deployed at ten Canadian PEDs from October 2018 –March 2020. A convenience sample of families with children Results
This study recruited 2005 caregivers who self-identified as mothers (74.3%, 1462/1969); mean age was 37.8 years (SD 7.7). 71.7% (1081/1507) of caregivers felt their emotional needs were met. 86.4% (1293/1496) identified communication with the doctor as good/very good and 83.4% (1249/1498) with their child’s nurse. Caregiver involvement in their child’s care was reported as good/very good 85.6% (1271/1485) of the time. 81.8% (1074/1313) of caregivers felt comfortable in caring for their child at home at the time of discharge. Lower caregiver anxiety scores, caregiver involvement in their child’s care, satisfactory updates, and having questions adequately addressed positively impacted caregiver emotional needs and increased caregiver comfort in caring for their child’s illness at home.
ConclusionApproximately 30% of caregivers presenting to PEDs have unmet emotional needs, over 15% had unmet communication needs, and 15% felt inadequately involved in their child’s care. Family caregiver involvement in care and good communication from PED staff are key elements in improving overall patient experience and satisfaction.
by Ajaya Basnet, Basanta Tamang, Mahendra Raj Shrestha, Lok Bahadur Shrestha, Junu Richhinbung Rai, Rajendra Maharjan, Sushila Dahal, Pradip Shrestha, Shiba Kumar Rai
IntroductionThe lack of standardized methods for detecting biofilms continues to pose a challenge to microbiological diagnostics since biofilm-mediated infections induce persistent and recurrent infections in humans that often defy treatment with common antibiotics. This study aimed to evaluate diagnostic parameters of four in vitro phenotypic biofilm detection assays in relation to antimicrobial resistance in aerobic clinical bacterial isolates.
MethodsIn this cross-sectional study, bacterial strains from clinical samples were isolated and identified following the standard microbiological guidelines. The antibiotic resistance profile was assessed through the Kirby-Bauer disc diffusion method. Biofilm formation was detected by gold standard tissue culture plate method (TCPM), tube method (TM), Congo red agar (CRA), and modified Congo red agar (MCRA). Statistical analyses were performed using SPSS version 17.0, with a significant association considered at p Result
Among the total isolates (n = 226), TCPM detected 140 (61.95%) biofilm producers, with CoNS (9/9) (p Conclusion
It is suggested that TM be used for biofilm detection, after TCPM. Unlike MCRA, black pigmentation in colonies formed on CRA declined with time. MDR- and XDR-biofilm formers were frequent among the clinical isolates.
by Muntequa Imtiaz Siraji, Ahnaf Akif Rahman, Mirza Muntasir Nishat, Md Abdullah Al Mamun, Fahim Faisal, Lamim Ibtisam Khalid, Ashik Ahmed
Depression is a psychological state of mind that often influences a person in an unfavorable manner. While it can occur in people of all ages, students are especially vulnerable to it throughout their academic careers. Beginning in 2020, the COVID-19 epidemic caused major problems in people’s lives by driving them into quarantine and forcing them to be connected continually with mobile devices, such that mobile connectivity became the new norm during the pandemic and beyond. This situation is further accelerated for students as universities move towards a blended learning mode. In these circumstances, monitoring student mental health in terms of mobile and Internet connectivity is crucial for their wellbeing. This study focuses on students attending an International University of Bangladesh to investigate their mental health due to their continual use of mobile devices (e.g., smartphones, tablets, laptops etc.). A cross-sectional survey method was employed to collect data from 444 participants. Following the exploratory data analysis, eight machine learning (ML) algorithms were used to develop an automated normal-to-extreme severe depression identification and classification system. When the automated detection was incorporated with feature selection such as Chi-square test and Recursive Feature Elimination (RFE), about 3 to 5% increase in accuracy was observed by the method. Similarly, a 5 to 15% increase in accuracy has been observed when a feature extraction method such as Principal Component Analysis (PCA) was performed. Also, the SparsePCA feature extraction technique in combination with the CatBoost classifier showed the best results in terms of accuracy, F1-score, and ROC-AUC. The data analysis revealed no sign of depression in about 44% of the total participants. About 25% of students showed mild-to-moderate and 31% of students showed severe-to-extreme signs of depression. The results suggest that ML models, incorporating a proper feature engineering method can serve adequately in multi-stage depression detection among the students. This model might be utilized in other disciplines for detecting early signs of depression among people.by Reihaneh Mohammadkhani, Kamal Ranjbar, Iraj Salehi, Alireza Komaki, Ebrahim Zarrinkalam, Parsa Amiri
The study of exercise preconditioning can develop strategies to prevent cardiovascular diseases and outline the efficient exercise model. However, the exercise type with the most protective effect against ischemia-reperfusion injury is unknown. In this study, we examined the effects of three kinds of exercise preconditioning on myocardial ischemia-reperfusion in adult rats and explored the possible underlying mechanisms. Male Wistar rats subjected to ten weeks of endurance, resistance, and concurrent training underwent ischemia (30 min) and reperfusion (120 min) induction. Then, infarction size, serum levels of the CK-MB, the redox status, and angiogenesis proteins (VEGF, ANGP-1, and ANGP-2) were measured in the cardiac tissue. Results showed that different exercise training modes have the same reduction effects on infarction size, but ischemia-reperfusion-induced CK-MB was lower in response to endurance training and concurrent training. Furthermore, cardiac VEGF levels increased in all three kinds of exercise preconditioning but ischemia-reperfusion-induced ANGP-1 elevated more in endurance training. The cardiac GPX activity was improved significantly through the resistance and concurrent exercise compared to the endurance exercise. In addition, all three exercise preconditioning models decreased MPO levels, and ischemia reperfusion-induced MDA was lower in endurance and resistance training. Overall, these results indicated that cardioprotection of exercise training against ischemia-reperfusion injury depends on the exercise modality. Cardioprotective effects of aerobic, resistance, and concurrent exercises are due to different mechanisms. The preconditioning effects of endurance training are mediated mainly by pervasive angiogenic responses and resistance training through oxidative stress amelioration. The preconditioning effects of concurrent training rely on both angiogenesis and oxidative stress amelioration.
No abstract available by Umesh Kumar Garg, Nitish Mathur, Rahul Sahlot, Pradeep Tiwari, Balram Sharma, Aditya Saxena, Raj Kamal Jainaw, Laxman Agarwal, Shalu Gupta, Sandeep Kumar Mathur
BackgroundAsian-Indians show thin fat phenotype, characterized by predominantly central deposition of excess fat. The roles of abdominal subcutaneous fat (SAT), intra-peritoneal adipose tissue, and fat depots surrounding the vital organs (IPAT-SV) and liver fat in insulin resistance (IR), type-2 diabetes (T2D) and metabolic syndrome (MetS) in this population are sparsely investigated.
Aims and objectivesAssessment of liver fat, SAT and IPAT-SV by MRI in subjects with T2D and MetS; and to investigate its correlation with IR, specifically according to different quartiles of HOMA-IR.
MethodsEighty T2D and the equal number of age sex-matched normal glucose tolerant controls participated in this study. Abdominal SAT, IPAT-SV and liver fat were measured using MRI. IR was estimated by the Homeostatic Model Assessment for Insulin Resistance (HOMA-IR).
ResultsT2D and MetS subjects have higher quantity liver fat and IPAT-SV fat than controls (P = 9 x 10−4 and 4 x 10−4 for T2D and 10−4 and 9 x 10−3 for MetS subjects respectively). MetS subjects also have higher SAT fat mass (P = 0.012), but not the BMI adjusted SAT fat mass (P = 0.48). Higher quartiles of HOMA-IR were associated with higher BMI, W:H ratio, waist circumference, and higher liver fat mass (ANOVA Test P = 0.020, 0.030, 2 x 10−6 and 3 x 10−3 respectively with F-values 3.35, 3.04, 8.82, 4.47 respectively). In T2D and MetS subjects, HOMA-IR showed a moderately strong correlation with liver fat (r = 0.467, P −5 and r = 0.493, P −7), but not with SAT fat and IPAT-SV. However, in MetS subjects IPAT-SV fat mass showed borderline correlation with IR (r = 0.241, P r = 0.13, P = 0.26). In non-T2D and non-MetS subjects, no such correlation was seen. On analyzing the correlation between the three abdominal adipose compartment fat masses and IR according to its severity, the correlation with liver fat mass becomes stronger with increasing quartiles of HOMA-IR, and the strongest correlation is seen in the highest quartile (r = 0.59, P −3). On the other hand, SAT fat mass tended to show an inverse relation with IR with borderline negative correlation in the highest quartile (r = -0.284, P P = 0.07).
ConclusionIn individuals suffering from T2D and MetS, IR shows a trend towards positive and borderline negative correlation with liver fat and SAT fat masses respectively. The positive trend with liver fat tends to become stronger with increasing quartile of IR. Therefore, these findings support the theory that possibly exhaustion of protective compartment’s capacity to store excess fat results in its pathological deposition in liver as ectopic fat.
Atrial fibrillation (AF) is a major public health issue and there is rationale for the early diagnosis of AF before the first complication occurs. Previous AF screening research is limited by low yields of new cases and strokes prevented in the screened populations. For AF screening to be clinically and cost-effective, the efficiency of identification of newly diagnosed AF needs to be improved and the intervention offered may have to extend beyond oral anticoagulation for stroke prophylaxis. Previous prediction models for incident AF have been limited by their data sources and methodologies.
We will investigate the application of random forest and multivariable logistic regression to predict incident AF within a 6-month prediction horizon, that is, a time-window consistent with conducting investigation for AF. The Clinical Practice Research Datalink (CPRD)-GOLD dataset will be used for derivation, and the Clalit Health Services (CHS) dataset will be used for international external geographical validation. Analyses will include metrics of prediction performance and clinical utility. We will create Kaplan-Meier plots for individuals identified as higher and lower predicted risk of AF and derive the cumulative incidence rate for non-AF cardio-renal-metabolic diseases and death over the longer term to establish how predicted AF risk is associated with a range of new non-AF disease states.
Permission for CPRD-GOLD was obtained from CPRD (ref no: 19_076). The CPRD ethical approval committee approved the study. CHS Helsinki committee approval 21-0169 and data usage committee approval 901. The results will be submitted as a research paper for publication to a peer-reviewed journal and presented at peer-reviewed conferences.
A systematic review to guide the overall project was registered on PROSPERO (registration number CRD42021245093). The study was registered on ClinicalTrials.gov (NCT05837364).
Strengthening of emergency care systems, including prehospital systems, can reduce death and disability. We aimed to identify perspectives on barriers and facilitators relating to the development and implementation of a prehospital emergency care system assessment tool (PEC-SET) from prehospital providers representing several South and Southeast (SE) Asian countries.
We conducted a qualitative study using focus group discussions (FGD) informed by the Consolidated Framework for Implementation Research (CFIR). FGDs were conducted in English, audioconferencing/videoconferencing was recorded, transcribed verbatim and coded using an inductive and deductive approach. Participants suggested specific elements to be measured within three main ‘pillars’ of disease conditions proposed by the research team of the tool being developed (cardiovascular, trauma and perinatal emergencies).
We explored the perspectives of medical directors in six low-income and middle-income countries (LMICs) in South and SE Asia.
A total of 16 participants were interviewed (1 Vietnam, 4 Philippines, 4 Thailand, 5 Malaysia, 1 Indonesia and 1 Pakistan) as a part of 4 focus groups.
Themes identified within the four CFIR constructs included: (1) Intervention characteristics: importance of developing an contextually specific tool, need for generalisability, trialling in one geographical area or with one pillar before expanding; (2) Inner setting: data transfer barriers, workforce shortages; (3) Outer setting: underdevelopment of EMS nationally; need for further EMS system development prior to implementing a tool and (4) Individual characteristics: lack of buy-in by prehospital personnel. Elements proposed by participants included both process and outcome measures.
Through the CFIR framework, we identified several themes which can provide a basis for codeveloping a PEC-SET for LMICs with local stakeholders. This work may inform development of quality improvement tools in LMIC PEC systems.
by Danny Xuan-Rong Koh, Mohamed Afiq Hidayat Zailani, Raja Zahratul Azma Raja Sabudin, Sanggari Muniandy, Nur Awatif Akmal Muhamad Hata, Siti Noor Baya Mohd Noor, Norhazilah Zakaria, Ainoon Othman, Endom Ismail
Glucose-6-phosphate dehydrogenase (G6PD) deficiency is an X-linked genetic disorder characterized by reduced G6PD enzyme levels in the blood. This condition is common in populations exposed to malaria; an acute febrile disease caused by Plasmodium parasites. G6PD-deficient individuals may suffer from acute hemolysis following the prescription of Primaquine, an antimalarial treatment. The population at risk for such a condition includes the Senoi group of Orang Asli, a remote indigenous community in Malaysia. This study aimed to elucidate the G6PD molecular heterogeneity in this subethnic group which is important for malaria elimination. A total of 662 blood samples (369 males and 293 females) from the Senoi subethnic group were screened for G6PD deficiency using a quantitative G6PD assay, OSMMR2000-D kit with Hb normalization. After excluding the family members, the overall prevalence of G6PD deficiency in the studied population was 15.2% (95% CI: 11–19%; 56 of 369), with males (30 of 172; 17.4%) outnumbering females (26 of 197; 13.2%). The adjusted male median (AMM), defined as 100% G6PD activity, was 11.8 IU/gHb. A total of 36 participants (9.6%; 26 male and 10 female) were deficient (G)(39.1%; n = 34), G6PD Viangchan (c.871G>A)(25.3%; n = 22), G6PD Union (c.1360C>T)(21.8%; n = 19), c.1311C>T(20.7%; n = 18), G6PD Kaiping (c.1388G>A)(8.0%; n = 7), and G6PD Coimbra (c.592C>T)(2.3%; n = 2). Our analysis revealed 27 hemizygote males, 18 heterozygote females, 7 homozygote females, and 2 compound heterozygote females. This study confirms the high prevalence of G6PD deficiency among the Senoi Malaysian Orang Asli, with a significant degree of molecular heterogeneity. More emphasis should be placed on screening for G6PD status and proper and safe use of Primaquine in the elimination of malaria among this indigenous population.by Hamed Keramati, Adelaide de Vecchi, Ronak Rajani, Steven A. Niederer
Accurate velocity reconstruction is essential for assessing coronary artery disease. We propose a Gaussian process method to reconstruct the velocity profile using the sparse data of the positron emission particle tracking (PEPT) in a biological environment, which allows the measurement of tracer particle velocity to infer fluid velocity fields. We investigated the influence of tracer particle quantity and detection time interval on flow reconstruction accuracy. Three models were used to represent different levels of stenosis and anatomical complexity: a narrowed straight tube, an idealized coronary bifurcation with stenosis, and patient-specific coronary arteries with a stenotic left circumflex artery. Computational fluid dynamics (CFD), particle tracking, and the Gaussian process of kriging were employed to simulate and reconstruct the pulsatile flow field. The study examined the error and uncertainty in velocity profile reconstruction after stenosis by comparing particle-derived flow velocity with the CFD solution. Using 600 particles (15 batches of 40 particles) released in the main coronary artery, the time-averaged error in velocity reconstruction ranged from 13.4% (no occlusion) to 161% (70% occlusion) in patient-specific anatomy. The error in maximum cross-sectional velocity at peak flow was consistently below 10% in all cases. PEPT and kriging tended to overestimate area-averaged velocity in higher occlusion cases but accurately predicted maximum cross-sectional velocity, particularly at peak flow. Kriging was shown to be useful to estimate the maximum velocity after the stenosis in the absence of negative near-wall velocity.by Yuichi Tatsukawa, Md. Rajib Arefin, Kazuki Kuga, Jun Tanimoto
The COVID-19 pandemic has remarkably heightened concerns regarding the prediction of communicable disease spread. This study introduces an innovative agent-based modeling approach. In this model, the quantification of human-to-human transmission aligns with the dynamic variations in the viral load within an individual, termed “within-host” and adheres to the susceptible–infected–recovered (SIR) process, referred to as “between-host.” Variations in the viral load over time affect the infectivity between individual agents. This model diverges from the traditional SIR model, which employs a constant transmission probability, by incorporating a dynamic, time-dependent transmission probability influenced by the viral load in a host agent. The proposed model retains the time-integrated transmission probability characteristic of the conventional SIR model. As observed in this model, the overall epidemic size remains consistent with the predictions of the standard SIR model. Nonetheless, compared to predictions based on the classical SIR process, notable differences existed in the peak number of the infected individuals and the timing of this peak. These nontrivial differences are induced by the direct correlation between the time-evolving transmission probability and the viral load within a host agent. The developed model can inform targeted intervention strategies and public health policies by providing detailed insights into disease spread dynamics, crucial for effectively managing epidemics.To identify factors associated with malnutrition (undernutrition and overnutrition) and determine appropriate cut-off values for mid-arm circumference (MAC) and calf circumference (CC) among community-dwelling Indian older adults.
Data from the first wave of harmonised diagnostic assessment of dementia for Longitudinal Ageing Study in India (LASI-DAD) were used. Various sociodemographic factors, comorbidities, geriatric syndromes, childhood financial and health status were included. Anthropometric measurements included body mass index (BMI), MAC and CC.
Nationally representative cohort study including 36 Indian states and union territories.
4096 older adults aged >60 years from LASI DAD.
The outcome variable was BMI, categorised as low (2), normal (18.5–22.9 kg/m2) and high (>23 kg/m2). The cut-off values of MAC and CC were derived using ROC curve with BMI as the gold standard.
902 (weighted percentage 20.55%) had low BMI, 1742 (44.25%) had high BMI. Undernutrition was associated with age, wealth-quintile and impaired cognition, while overnutrition was associated with higher education, urban living and comorbidities such as hypertension, diabetes and chronic heart disease. For CC, the optimal lower and upper cut-offs for males were 28.1 cm and >31.5 cm, respectively, while for females, the corresponding values were 26 cm and >29 cm. Similarly, the optimal lower and upper cut-offs for MAC in males were 23.9 cm and >26.9 cm, and for females, they were 22.5 cm and >25 cm.
Our study identifies a high BMI prevalence, especially among females, individuals with higher education, urban residents and those with comorbidities. We establish gender-specific MAC and CC cut-off values with significant implications for healthcare, policy and research. Tailored interventions can address undernutrition and overnutrition in older adults, enhancing standardised nutritional assessment and well-being.
FreshRSS 