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Nevin Manimala Statistics

Advance care planning in perinatal settings: national survey of implementation using Normalisation Process Theory

Arch Dis Child Fetal Neonatal Ed. 2023 Sep 14:fetalneonatal-2023-325649. doi: 10.1136/archdischild-2023-325649. Online ahead of print.

ABSTRACT

BACKGROUND: Perinatal advance care planning (PnACP) is a process of formal decision-making to help families plan for their baby’s care when recognised that they may have a life-limiting condition. While PnACP is recommended in policy, there is a lack of evidence to support implementation and development in the perinatal setting.

OBJECTIVE: To conduct an online survey of UK and Ireland perinatal providers to examine how PnACP is operationalised in current practice.

METHODS: A secure online questionnaire was developed to collect data on (1) ‘what’ is being implemented, (2) the ‘processes’ being used, (3) perceived impact and (4) unmet support needs. Data were analysed using basic descriptive statistics, thematic analysis and through a conceptual lens of Normalisation Process Theory.

RESULTS: Questionnaires were completed by 108 health professionals working in 108 maternity and neonatal services, representing 90 organisations across the UK and Ireland. This revealed many resources and examples of good practice to support PnACP. However, there was wide variation in how PnACP was conceptualised and implemented. Existing frameworks, pathways and planning tools are not routinely embedded into care, and respondents identified many barriers that negatively impact the quality of care. They called for better integration of palliative care principles into acute settings and more investment in staff training to support families at existentially difficult times.

CONCLUSIONS: Priorities for additional perinatal service development include greater sharing of best practice and effective strategies to target the unique challenges of PnACP, such as time-sensitive collaborative working and decision-making in the face of high uncertainty.

PMID:37709497 | DOI:10.1136/archdischild-2023-325649

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Nevin Manimala Statistics

A structural similarity networking assisted collision cross-section prediction interval filtering strategy for multi-compound identification of complex matrix by ion-mobility mass spectrometry

Anal Chim Acta. 2023 Oct 16;1278:341720. doi: 10.1016/j.aca.2023.341720. Epub 2023 Aug 18.

ABSTRACT

Ion mobility coupled with mass spectrometry (IM-MS), an emerging technology for analysis of complex matrix, has been facing challenges due to the complexities of chemical structures and original data, as well as low-efficiency and error-proneness of manual operations. In this study, we developed a structural similarity networking assisted collision cross-section prediction interval filtering (SSN-CCSPIF) strategy. We first carried out a structural similarity networking (SSN) based on Tanimoto similarities among Morgan fingerprints to classify the authentic compounds potentially existing in complex matrix. By performing automatic regressive prediction statistics on mass-to-charge ratios (m/z) and collision cross-sections (CCS) with a self-built Python software, we explored the IM-MS feature trendlines, established filtering intervals and filtered potential compounds for each SSN classification. Chemical structures of all filtered compounds were further characterized by interpreting their multidimensional IM-MS data. To evaluate the applicability of SSN-CCSPIF, we selected Ginkgo biloba extract and dripping pills. The SSN-CCSPIF subtracted more background interferences (43.24%∼43.92%) than other similar strategies with conventional ClassyFire criteria (10.71%∼12.13%) or without compound classification (35.73%∼36.63%). Totally, 229 compounds, including eight potential new compounds, were characterized. Among them, seven isomeric pairs were discriminated with the integration of IM-separation. Using SSN-CCSPIF, we can achieve high-efficient analysis of complex IM-MS data and comprehensive chemical profiling of complex matrix to reveal their material basis.

PMID:37709461 | DOI:10.1016/j.aca.2023.341720

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Virtual reality reduces anxiety and pain in acute hospital palliative care: service evaluation

BMJ Support Palliat Care. 2023 Sep 14:spcare-2023-004572. doi: 10.1136/spcare-2023-004572. Online ahead of print.

ABSTRACT

OBJECTIVES: Virtual reality (VR) might improve symptom management, but there is limited evidence regarding VR in palliative care. We evaluated the feasibility of VR and impact on anxiety and pain for patients in a hospital palliative care consultation service.

METHODS: Patients referred to a hospital specialist palliative care team, with anxiety or pain, were offered a VR intervention (a short audiovisual experience). Participants rated anxiety and pain on a 0-10 Likert severity scale pre intervention/post intervention and completed an evaluation form. Change in symptom scores was analysed by parametric statistics.

RESULTS: 28 participants used VR a total of 42 times with no adverse events. Mean pain score reduced by 29% from 4.10 (SD=2.71) pre intervention to 2.93 (SD=2.45) post intervention (t(27)=5.150, p<0.001). Mean anxiety scores reduced by 40% from 4.43 (SD=2.56) to 2.65 (SD=2.24) (t(27)=5.058, p<0.001). Patients rated the experience on average 4.75/5 and all would recommend use to a friend. VR was described as absorbing and relaxing.

CONCLUSION: VR may improve anxiety and pain and was acceptable in this setting. Large-scale evaluation will generate important data on feasibility and implementation.

PMID:37709365 | DOI:10.1136/spcare-2023-004572

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Identifying regional disparities of infant mortality rates in Bangladesh: insights from nationwide cross-sectional studies and a statistical modelling approach using linear mixed effects model with temporal variability

BMJ Open. 2023 Sep 13;13(9):e069512. doi: 10.1136/bmjopen-2022-069512.

ABSTRACT

OBJECTIVE: The major objective of this project is to find the best suitable model for district-wise infant mortality rate (IMR) data of Bangladesh over the period 2014-2020 that captures the regional variability and overtime variability of the data.

DESIGN, SETTING AND PARTICIPANTS: Data from seven consecutive cross-sectional surveys that were conducted in Bangladesh between 2014 and 2020 as a part of the Sample Vital Registration System (SVRS) were used in this study. The study included a total of 13 173 (with 390 infant deaths), 17 675 (with 512 infant deaths), 17 965 (with 501 infant deaths), 23 205 (with 556 infant deaths), 23 094 (with 498 infant deaths), 23 090 (with 497 infant deaths) and 23 297 (with 495 infant deaths) complete cases from SVRS datasets for each respective year.

METHOD: A linear mixed effects model (LMM) with a quadratic trend over time in the fixed effects part and a nested random intercept, as well as a nested random slope for a linear trend over time in the part of the random effect, was implemented to describe the situation. This model was selected based on two popular selection criteria: Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC).

RESULTS: The LMMs analysis results demonstrated statistically significant variations in IMR across different districts and over time. Examining the district-specific area under the logarithm of the IMR curves yielded valuable insights into the disparities in IMR among different districts and regions. Furthermore, a significant inverse relationship was observed between IMR and life expectancy at birth, underscoring the significance of mitigating IMR as a means to enhance population health outcomes.

CONCLUSION: This study accentuates district-wise and temporal variability when modelling IMR data and highlights regional heterogeneity in infant mortality rates in Bangladesh. Area-based programmes should be created for mothers residing in locations with a higher risk of IMR. Further research can examine socioeconomic elements generating these discrepancies.

PMID:37709341 | DOI:10.1136/bmjopen-2022-069512

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Cardiovascular risk factors in coeliac disease (ARCTIC): a protocol of multicentre series of studies

BMJ Open. 2023 Sep 13;13(9):e068989. doi: 10.1136/bmjopen-2022-068989.

ABSTRACT

INTRODUCTION: There is only limited and controversial information available on the cardiovascular (CV) risk in coeliac disease (CD). In this study, we plan to investigate the body composition and CV risk-related metabolic parameters at the diagnosis of CD and on a gluten-free diet in a Hungarian cohort of patients with CD.

METHODS AND ANALYSIS: This study consists of two case-control studies and a prospective cohort study, involving newly diagnosed and treated patients with CD with age and sex-matched non-CD control subjects with an allocation ratio of 1:1. CD-related symptoms, quality of life, quality of the diet and CV risk will be assessed with questionnaires. Our primary outcomes are body composition parameters, which will be estimated with InBody 770 device. Secondary outcomes are CV-risk related metabolic parameters (eg, serum lipids, haemoglobin A1c, homeostatic model assessment index, liver enzymes, homocysteine, interleukin 6, galectin-3) and enteral hormones (leptin, ghrelin, adiponectin) measured from venous blood samples for all participants. Fatty liver disease will be assessed by transabdominal ultrasonography. In statistical analysis, descriptive and comparative statistics will be performed. With this study, we aim to draw attention to the often neglected metabolic and CV aspect of the management of CD. Findings may help to identify parameters to be optimised and reassessed during follow-up in patients with CD.

ETHICS AND DISSEMINATION: The study was approved by the Scientific and Research Ethics Committee of the Hungarian Medical Research Council (27521-5/2022/EÜIG). Findings will be disseminated at research conferences and in peer-reviewed journals.

TRIAL REGISTRATION NUMBER: NCT05530070.

PMID:37709338 | DOI:10.1136/bmjopen-2022-068989

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Protocol for a 2-year longitudinal study of eating disturbances, mental health problems and overuse injuries in rock climbers (CLIMB)

BMJ Open. 2023 Sep 13;13(9):e074631. doi: 10.1136/bmjopen-2023-074631.

ABSTRACT

INTRODUCTION: Rock climbing is a rapidly growing sport in which performance may be affected by participant’s weight and leanness, and there may be pressure on athletes with respect to their eating behaviour and body weight. However, there is sparse research performed on climbers, constituting a knowledge gap which the present study aims to fill. The primary outcomes of the study are to examine disordered eating and overuse injuries in rock climbers. Secondary variables are body image, indicators of relative energy deficiency, mental health problems, compulsive training, perfectionism, sleep quality and bone density.

METHOD AND ANALYSIS: This prospective longitudinal study aims to recruit Swedish competitive rock climbers (>13 years) via the Swedish Climbing Federation. A non-athlete control group will be recruited via social media (n=equal of the climbing group). Data will be collected using streamlined validated web-based questionnaires with three follow-ups over 2 years. Inclusion criteria for rock climbers will be a minimum advanced level according to International Rock-Climbing Research Association. The non-athlete control group is matched for age and gender. Exclusion criteria are having competed at an elite level in any sport as well as training more often than twice per week. Statistical analyses will include multinominal logistic regression, multivariate analysis of variance (MANOVA) and structural equation modelling (SEM). We will assess effect measure modification when relevant and conduct sensitivity analyses to assess the impact of lost to follow-up.

ETHICS AND DISSEMINATION: The Rock-Climbers’ Longitudinal attitudes towards Injuries, Mental health and Body image study, CLIMB, was approved by the Swedish ethics authority (2021-05557-01). Results will be disseminated through peer-reviewed research papers, reports, research conferences, student theses and stakeholder communications.

TRIAL REGISTRATION NUMBER: NCT05587270.

PMID:37709336 | DOI:10.1136/bmjopen-2023-074631

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Nevin Manimala Statistics

Novel use of structural equation modelling to examine diet and metabolic traits associated with microvascular endothelial dysfunction in middle-aged Chinese males: a cross-sectional study

BMJ Open. 2023 Sep 13;13(9):e073357. doi: 10.1136/bmjopen-2023-073357.

ABSTRACT

BACKGROUND: The present study aims to use structural equation modelling (SEM) with multiple regression pathways to examine direct and indirect links from diet and metabolic traits to microvascular endothelial dysfunction (ED) among middle-aged Chinese males.

METHODS: The study was conducted in middle-aged Chinese males, who underwent a health check-up between 2018 and 2019. Data on lifestyle behaviour factors (physical activity, diet pattern, sleep quality and diet data underwent factor analysis in advance) and metabolic risk factors referring to metabolic traits were introduced into the SEM to examine inter-relationship among these factors and their association with ED, as evaluated by the reactive hyperaemia index (RHI).

RESULTS: Both exploratory factor analysis and confirmatory factor analysis identified two major dietary patterns: ‘prudent pattern’ and ‘western pattern’. The univariate test suggested that only triglycerides (TGs) and prudent dietary pattern were directly associated with RHI. Furthermore, prudent dietary pattern had an indirect association with RHI via TG (prudent diet→TG: β=-0.15, p<0.05; TG→RHI: β=-0.17, p<0.001). As to confirming the hypothesised association between variables apart, physical activity frequency was correlated to the decrease in TG (β=-0.29, p<0.001), but had no direct correlation to RHI.

CONCLUSION: The network of direct and indirect associations among diet pattern and cardiometabolic risk factors with RHI measured ED among middle-aged males. The most significant modifiable factors identified were TG and prudent diet pattern, which needs to be targeted as preventive strategies for early microvascular impairment.

PMID:37709331 | DOI:10.1136/bmjopen-2023-073357

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Study environment and the incidence of mental health problems and activity-limiting musculoskeletal problems among university students: the SUN cohort study

BMJ Open. 2023 Sep 14;13(9):e072178. doi: 10.1136/bmjopen-2023-072178.

ABSTRACT

OBJECTIVE: To determine the association between different aspects of study environment and the incidence of mental health problems and activity-limiting musculoskeletal problems.

DESIGN, SETTING AND PARTICIPANTS: We recruited a cohort of 4262 Swedish university students of whom 2503 (59%) were without moderate or worse mental health problems and 2871 (67%) without activity-limiting musculoskeletal problems at baseline. The participants were followed at five time points over 1 year using web surveys.

EXPOSURES: Self-rated discrimination, high study pace, low social cohesion and poor physical environment measured at baseline.

OUTCOMES: Self-rated mental health problems defined as scoring above cut-off on any of the subscales of the Depression, Anxiety and Stress Scale. Self-rated activity-limiting musculoskeletal problems in any body location assessed by the Nordic Musculoskeletal Questionnaire.

STATISTICAL ANALYSIS: Discrete survival-time analysis was used to estimate the hazard rate ratio (HR) of each exposure-outcome combination while adjusting for gender, age, living situation, education type, year of studies, place of birth and parental education as potential confounders.

RESULTS: For discrimination, adjusted HRs were 1.75 (95% CI 1.40 to 2.19) for mental health problems and 1.39 (95% CI 1.12 to 1.72) for activity-limiting musculoskeletal problems. For high study pace, adjusted HRs were 1.70 (95% CI 1.48 to 1.94) for mental health problems and 1.25 (95% CI 1.09 to 1.43) for activity-limiting musculoskeletal problems. For low social cohesion, adjusted HRs were 1.51 (95% CI 1.29 to 1.77) for mental health problems and 1.08 (95% CI 0.93 to 1.25) for activity-limiting musculoskeletal problems. For perceived poor physical study environment, adjusted HRs were 1.20 (95% CI 0.99 to 1.45) for mental health problems and 1.20 (95% CI 1.01 to 1.43) for activity-limiting musculoskeletal problems.

CONCLUSIONS: Several aspects of the study environment were associated with the incidence of mental health problems and activity-limiting musculoskeletal problems in this sample of Swedish university students.

PMID:37709330 | DOI:10.1136/bmjopen-2023-072178

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Using telemedicine to improve early medical abortion at home (UTAH): a randomised controlled trial to compare telemedicine with in-person consultation for early medical abortion

BMJ Open. 2023 Sep 13;13(9):e073630. doi: 10.1136/bmjopen-2023-073630.

ABSTRACT

OBJECTIVES: To compare telephone consultations with in-person consultations for the provision of medical abortion (using mifepristone 200 mg and misoprostol 800 µg). We hypothesised that telemedicine consultations would be non-inferior to in-person consultations with a non-inferiority limit of 3%.

DESIGN: Randomised controlled trial with 1:1 allocation.

SETTING: Community abortion service housed within an integrated sexual and reproductive health service in Edinburgh, UK.

PARTICIPANTS: The trial began on 13 January 2020, but was stopped early due to COVID-19; recruitment was suspended on 31 March 2020, and was formally closed on 31 August 2021. A total of 125 participants were randomised, approximately 10% of the total planned, with 63 assigned to telemedicine and 62 to in-person consultation.

PRIMARY AND SECONDARY OUTCOME MEASURES: Primary outcome: efficacy of medical abortion, defined as complete abortion without surgical intervention.

SECONDARY OUTCOMES: satisfaction with consultation type, preparedness, unscheduled contact with care, complication rate, time spent in clinical contact and uptake of long-acting contraception.

RESULTS: Primary outcome was available for 115 participants (lost-to-follow-up telemedicine=2, in-person=8), secondary outcomes were available for 110 participants (n=5 and n=10 in telemedicine and in-person groups did not complete questionnaires). There were no significant differences between groups in treatment efficacy (telemedicine 57/63 (90.5%), in-person 48/62 (77.4%)). However, non-inferiority was not demonstrated (+3.3% in favour of telemedicine, CI -6.6% to +13.3%, lower than non-inferiority margin). There were no significant differences in most secondary outcomes, however, there was more unscheduled contact with care in the telemedicine group (12 (19%) vs 3 (5%), p=0.01). The overall time spent in clinical contact was statistically significantly lower in the telemedicine group (mean 94 (SD 24) vs 111 (24) min, p=0.0005).

CONCLUSIONS: Telemedicine for medical abortion appeared to be effective, safe and acceptable to women, with less time spent in the clinic. However, due to the small sample size resulting from early cessation, the study was underpowered to confirm this conclusion. These findings warrant further investigation in larger scale studies.

TRIAL REGISTRATION NUMBER: NCT04139382.

PMID:37709327 | DOI:10.1136/bmjopen-2023-073630

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Risk factors for neonatal mortality: an observational cohort study in Sarlahi district of rural southern Nepal

BMJ Open. 2023 Sep 14;13(9):e066931. doi: 10.1136/bmjopen-2022-066931.

ABSTRACT

OBJECTIVES: To assess the association between maternal characteristics, adverse birth outcomes (small-for-gestational-age (SGA) and/or preterm) and neonatal mortality in rural Nepal.

DESIGN: This is a secondary observational analysis to identify risk factors for neonatal mortality, using data from a randomised trial to assess the impact of newborn massage with different oils on neonatal mortality in Sarlahi district, Nepal.

SETTING: Rural Sarlahi district, Nepal.

PARTICIPANTS: 40 119 pregnant women enrolled from 9 September 2010 to 16 January 2017.

MAIN OUTCOME: The outcome variable is neonatal death. Cox regression was used to estimate adjusted Hazard Ratios (aHRs) to assess the association between adverse birth outcomes and neonatal mortality.

RESULTS: There were 32 004 live births and 998 neonatal deaths. SGA and/or preterm birth was strongly associated with increased neonatal mortality: SGA and preterm (aHR: 7.09, 95% CI: (4.44 to 11.31)), SGA and term/post-term (aHR: 2.12, 95% CI: (1.58 to 2.86)), appropriate-for-gestational-age/large-for-gestational-age and preterm (aHR: 3.23, 95% CI: (2.30 to 4.54)). Neonatal mortality was increased with a history of prior child deaths (aHR: 1.53, 95% CI: (1.24 to 1.87)), being a twin or triplet (aHR: 5.64, 95% CI: (4.25 to 7.48)), births at health posts/clinics or in hospital (aHR: 1.34, 95% CI: (1.13 to 1.58)) and on the way to facilities or outdoors (aHR: 2.26, 95% CI: (1.57 to 3.26)). Risk was lower with increasing maternal height from <145 cm to 145-150 cm (aHR: 0.78, 95% CI: (0.65 to 0.94)) to ≥150 cm (aHR: 0.57, 95% CI: (0.47 to 0.68)), four or more antenatal care (ANC) visits (aHR: 0.67, 95% CI: (0.53 to 0.86)) and education >5 years (aHR: 0.75, 95% CI: (0.62 to 0.92)).

CONCLUSION: SGA and/or preterm birth are strongly associated with increased neonatal mortality. To reduce neonatal mortality, interventions that prevent SGA and preterm births by promoting ANC and facility delivery, and care of high-risk infants after birth should be tested.

TRIAL REGISTRATION NUMBER: NCT01177111.

PMID:37709319 | DOI:10.1136/bmjopen-2022-066931