Tag: nevin manimala

J Rehabil Med. 2023 May 17;55:jrm00390. doi: 10.2340/jrm.v55.4529.

ABSTRACT

OBJECTIVE: To appraise research evidence on the effects of balance training on balance and fall efficacy in patients with osteoporosis.

METHODS: Six electronic databases were searched from inception of the database to 1 August 2022, with no language restrictions, and randomized controlled trials of balance training in patients with osteoporosis were included in this meta-analysis. Two authors independently screened and reviewed the articles and assessed the methodological quality using the Cochrane risk-of-bias tools. Trial sequential analysis was conducted.

RESULTS: A total of 10 randomized controlled trials with 684 patients were included. Three of the studies that were included had low risk of bias, 5 had moderate risk of bias, and 2 had high risk of bias. A meta-analysis demonstrated that balance training improves dynamic balance measured using the Timed Up and Go Test (mean difference (MD) = -1.86, 95% CI (-2.69, -1.02), Z = 4.38, p < 0.0001) and the Berg Balance Scale (MD = 5.31, 95% CI (0.65, 9.96), Z = 2.23, p < 0.03), static balance measured using One-Leg Standing Time (MD = 4.10, 95% CI (2.19, 6.01), Z = 4.21, p < 0.0001), and fall efficacy measured using the Falls Efficacy Scale International (MD = -4.60, 95% CI (-6.33, -2.87), Z = 5.20, p < 0.00001) were also significantly improved. Trial sequential analysis showed reliable evidence of the effects of balance training on dynamic and static balance improvement. The conclusions of this review are supported by the statistical and clinical significance of all outcomes in the meta-analysis, based on the advised minimal clinically significant differences and minimum detectable changes.

CONCLUSION: Balance training may be effective in improving balance ability and reducing fear of falling in patients with osteoporosis.

PMID:37194565 | DOI:10.2340/jrm.v55.4529

Paediatr Perinat Epidemiol. 2023 May 17. doi: 10.1111/ppe.12984. Online ahead of print.

ABSTRACT

BACKGROUND: The effectiveness of fetal echocardiography in reducing the mortality from congenital heart disease (CHD) is largely unknown.

OBJECTIVES: This study aimed to evaluate whether the widespread use of fetal echocardiography owing to the initiation of insurance coverage in Japan was associated with a decreasing trend in the annual number of CHD-related deaths.

METHODS: Data regarding the number of deaths from CHD in infants aged <12 months were extracted from Japanese demographic statistics (2000-2018). Segmented regression analysis was performed on the interrupted time series data by stratifying the sample into CHD subgroups based on ICD-10 classification and sex.

RESULTS: After the initiation of insurance coverage for fetal echocardiography in 2010, a decrease was observed in the trends of annual deaths in patients with congenital malformations of aortic and mitral valves (ratio of trends before and after the initiation of insurance coverage for fetal echocardiography 0.96, 95% confidence interval 0.93, 0.99). In this group, the decrease persisted after adjusting for annual total infant deaths and cardiac surgery mortality and in the analysis of trends in the proportion of deaths in this group per total CHD deaths. However, a decrease in trends was not observed in other patient groups with CHD. In the sex-stratified analysis, a decrease was noted only in male patients with congenital malformations of aortic and mitral valves.

CONCLUSIONS: The nationwide trend in annual CHD deaths decreased after the initiation of insurance coverage for fetal echocardiography only among patients with congenital malformation of aortic and mitral valves. These findings suggest that prenatal diagnosis with fetal echocardiography has led to improved mortality outcomes among these patients in Japan.

PMID:37194557 | DOI:10.1111/ppe.12984

Ophthalmic Physiol Opt. 2023 May 17. doi: 10.1111/opo.13164. Online ahead of print.

ABSTRACT

PURPOSE: The purpose of this study was to assess accommodative function in non-presbyopic individuals diagnosed with type 1 diabetes (T1D) without any signs of retinopathy, to determine the existence of possible accommodative disorders related to this disease, and to determine the influence of T1D duration and glycosylated haemoglobin values on accommodative function.

METHODS: This comparative, cross-sectional study included 60 participants between 11 and 39 years old, 30 with T1D and 30 controls, with no previous eye surgery, ocular disease or medication that could affect the results of the visual examination. Amplitude of accommodation (AA), negative and positive relative accommodation (NRA and PRA), accommodative response (AR) and accommodative facility (AF) were assessed using the tests that showed the highest repeatability. Participants were classified based on normative values into ‘insufficiency, excess or normal results’, and a diagnosis of accommodative disorders (accommodative insufficiency, accommodative infacility and accommodative excess) was made.

RESULTS: Participants with T1D had statistically significant lower AA and AF and higher NRA values than the controls. Furthermore, AA was significantly and inversely correlated with age and the duration of diabetes; however, AF and NRA were only correlated with disease duration. In the classification by accommodative variables, a higher percentage of ‘insufficiency values’ was observed in the T1D group (50%) than in the control group (6%; p < 0.001). In terms of accommodative disorders, accommodative infacility was the most prevalent (15%), followed by accommodative insufficiency (10%).

CONCLUSIONS: Our findings indicate that T1D affects most accommodative parameters, with accommodative insufficiency being associated with this disease.

PMID:37194554 | DOI:10.1111/opo.13164

Stat Methods Med Res. 2023 May 17:9622802231173491. doi: 10.1177/09622802231173491. Online ahead of print.

ABSTRACT

The goal of causal mediation analysis, often described within the potential outcomes framework, is to decompose the effect of an exposure on an outcome of interest along different causal pathways. Using the assumption of sequential ignorability to attain non-parametric identification, Imai et al. (2010) proposed a flexible approach to measuring mediation effects, focusing on parametric and semiparametric normal/Bernoulli models for the outcome and mediator. Less attention has been paid to the case where the outcome and/or mediator model are mixed-scale, ordinal, or otherwise fall outside the normal/Bernoulli setting. We develop a simple, but flexible, parametric modeling framework to accommodate the common situation where the responses are mixed continuous and binary, and, apply it to a zero-one inflated beta model for the outcome and mediator. Applying our proposed methods to the publicly-available JOBS II dataset, we (i) argue for the need for non-normal models, (ii) show how to estimate both average and quantile mediation effects for boundary-censored data, and (iii) show how to conduct a meaningful sensitivity analysis by introducing unidentified, scientifically meaningful, sensitivity parameters.

PMID:37194551 | DOI:10.1177/09622802231173491

Bull Entomol Res. 2023 May 17:1-12. doi: 10.1017/S0007485323000159. Online ahead of print.

ABSTRACT

Between 1990 and 1999, at Rekomitjie Research Station, Zambezi Valley, Zimbabwe, 29,360 female G. pallidipes were dissected to determine their ovarian category and trypanosome infection status. Overall prevalences were 3.45 and 2.66% for T. vivax and T. congolense, respectively, declining during each year as temperatures increased from July – December. Fits to age-prevalence data using Susceptible-Exposed-Infective (SEI) and SI compartmental models were statistically better than those obtained using a published catalytic model, which made the unrealistic assumption that no female tsetse survived more than seven ovulations. The improved models require knowledge of fly mortality, estimated separately from ovarian category distributions. Infection rates were not significantly higher for T. vivax than for T. congolense. For T. congolense in field-sampled female G. pallidipes, we found no statistical support for a model where the force of infection was higher at the first feed than subsequently. The long survival of adult female tsetse, combined with feeding at intervals ≤3 days, ensures that post-teneral feeds, rather than the first feed, play the dominant role in the epidemiology of T. congolense infections in G. pallidipes. This is supported by estimates that only about 3% of wild hosts at Rekomitjie were harbouring sufficient T. congolense to ensure that tsetse feeding off them take an infected meal, so that the probability of ingesting an infected meal is low at every meal.

PMID:37194504 | DOI:10.1017/S0007485323000159

Stat Med. 2023 May 30;42(12):1909-1930. doi: 10.1002/sim.9704. Epub 2023 Mar 7.

ABSTRACT

In this article, we propose a two-level copula joint model to analyze clinical data with multiple disparate continuous longitudinal outcomes and multiple event-times in the presence of competing risks. At the first level, we use a copula to model the dependence between competing latent event-times, in the process constructing the submodel for the observed event-time, and employ the Gaussian copula to construct the submodel for the longitudinal outcomes that accounts for their conditional dependence; these submodels are glued together at the second level via the Gaussian copula to construct a joint model that incorporates conditional dependence between the observed event-time and the longitudinal outcomes. To have the flexibility to accommodate skewed data and examine possibly different covariate effects on quantiles of a non-Gaussian outcome, we propose linear quantile mixed models for the continuous longitudinal data. We adopt a Bayesian framework for model estimation and inference via Markov Chain Monte Carlo sampling. We examine the performance of the copula joint model through a simulation study and show that our proposed method outperforms the conventional approach assuming conditional independence with smaller biases and better coverage probabilities of the Bayesian credible intervals. Finally, we carry out an analysis of clinical data on renal transplantation for illustration.

PMID:37194500 | DOI:10.1002/sim.9704

Psychol Med. 2023 May 17:1-12. doi: 10.1017/S0033291723001010. Online ahead of print.

ABSTRACT

BACKGROUND: Since 2008, the Improving Access to Psychological Therapies (IAPT) programme has offered adults in England evidence-based psychological treatments for common mental disorders (CMDs) such as depression and anxiety disorders. However, inequalities in access have not been explored at the national level.

METHODS: Using a unique individual patient dataset that linked 2011 Census information of English residents to national IAPT data collected between April 2017 and March 2018, we estimated the rate of access by a wide range of socio-demographic characteristics that are not routinely available. A large household survey was used to estimate the prevalence of probable CMDs by these socio-demographic characteristics. We estimated the probability of access to IAPT amongst people with CMDs by comparing the rates of access from IAPT data and the estimates of prevalence of CMDs from the household survey. Both unadjusted and adjusted (for important patient characteristics) access rates were estimated in logistic regression models.

RESULTS: As a proportion of those with a probable CMD, access to IAPT varied markedly by socio-demographic characteristics. Older adults, males, people born outside of the UK, people with religious beliefs, people from Asian ethnic backgrounds, people reporting a disability and those without any academic or professional qualifications were underrepresented in IAPT services nationally, in adjusted models.

CONCLUSIONS: The identification of patients who may be underrepresented in IAPT provides an opportunity for services to target outreach and engagement with these groups. Further understanding of barriers to access should help increase equity in access.

PMID:37194490 | DOI:10.1017/S0033291723001010

Hosp Pediatr. 2023 May 17:e2022007075. doi: 10.1542/hpeds.2022-007075. Online ahead of print.

ABSTRACT

OBJECTIVES: There is a lack of guidance on the management of febrile neutropenia in otherwise healthy children, including the need for hospitalization and antibiotic administration, leading to significant practice variation in management. The aim of this initiative was to decrease the number of unnecessary hospitalizations and empirical antibiotics prescribed by 50% over a 24-month period for well-appearing, previously healthy patients older than 6 months presenting to the emergency department with a first episode of febrile neutropenia.

METHODS: A multidisciplinary team of stakeholders was assembled to develop a multipronged intervention strategy using the Model for Improvement. A guideline for the management of healthy children with febrile neutropenia was created, coupled with education, targeted audit and feedback, and reminders. Statistical control process methods were used to analyze the primary outcome of the percentage of low-risk patients receiving empirical antibiotics and/or hospitalization. Balancing measures included missed serious bacterial infection, emergency department (ED) return visit, and a new hematologic diagnosis.

RESULTS: Over the 44-month study period, the mean percentage of low-risk patients hospitalized and/or who received antibiotics decreased from 73.3% to 12.9%. Importantly, there were no missed serious bacterial infections, no new hematologic diagnoses after ED discharge, and only 2 ED return visits within 72 hours without adverse outcomes.

CONCLUSIONS: A guideline for the standardized management of febrile neutropenia in low-risk patients increases value-based care through reduced hospitalizations and antibiotics. Education, targeted audit and feedback, and reminders supported sustainability of these improvements.

PMID:37194483 | DOI:10.1542/hpeds.2022-007075

J Med Radiat Sci. 2023 May 17. doi: 10.1002/jmrs.687. Online ahead of print.

ABSTRACT

INTRODUCTION: Impalpable breast lesions generally require image-guided localisation for breast-conserving surgery. A standard technique is to place a hook wire (HW) within the lesion. Radioguided occult lesion localisation using iodine seeds (ROLLIS) involves inserting a 4.5 mm iodine-125 seed (seed) into the lesion. We hypothesised that a seed could be more precisely positioned in relation to the lesion than a HW and that this may be associated with a lower re-excision rate.

METHODS: Retrospective review of consecutive participant data from three ROLLIS RCT (ACTRN12613000655741) sites. Participants underwent preoperative lesion localisation (PLL) with seed or HW between September 2013 and December 2017. Lesion and procedural characteristics were recorded. Distances between (1) any part of the seed or thickened segment of the HW (‘TSHW’) and the lesion/clip (‘distance to device’ DTD) and (2) centre of the TSHW/seed and centre of the lesion/clip (device centre to target centre ‘DCTC’) were measured on immediate postinsertion mammograms. Pathological margin involvement and re-excision rates were compared.

RESULTS: A total of 390 lesions (190 ROLLIS and 200 HWL) were analysed. Lesion characteristics and guidance modality used were similar between groups. Ultrasound-guided DTD and DCTC for seed were smaller than for HW (77.1% and 60.6%, respectively, P-value < 0.001). Stereotactic-guided DCTC for seeds was 41.6% smaller than for HW (P-value = 0.001). No statistically significant difference in the re-excision rates was found.

CONCLUSION: Iodine-125 seeds can be more precisely positioned for preoperative lesion localisation than HW, however, no statistically significant difference in re-excision rates was detected.

PMID:37194479 | DOI:10.1002/jmrs.687

Trends Hear. 2023 Jan-Dec;27:23312165231171987. doi: 10.1177/23312165231171987.

ABSTRACT

Subjects utilizing a cochlear implant (CI) in one ear and a hearing aid (HA) on the contralateral ear suffer from mismatches in stimulation timing due to different processing latencies of both devices. This device delay mismatch leads to a temporal mismatch in auditory nerve stimulation. Compensating for this auditory nerve stimulation mismatch by compensating for the device delay mismatch can significantly improve sound source localization accuracy. One CI manufacturer has already implemented the possibility of mismatch compensation in its current fitting software. This study investigated if this fitting parameter can be readily used in clinical settings and determined the effects of familiarization to a compensated device delay mismatch over a period of 3-4 weeks. Sound localization accuracy and speech understanding in noise were measured in eleven bimodal CI/HA users, with and without a compensation of the device delay mismatch. The results showed that sound localization bias improved to 0°, implying that the localization bias towards the CI was eliminated when the device delay mismatch was compensated. The RMS error was improved by 18% with this improvement not reaching statistical significance. The effects were acute and did not further improve after 3 weeks of familiarization. For the speech tests, spatial release from masking did not improve with a compensated mismatch. The results show that this fitting parameter can be readily used by clinicians to improve sound localization ability in bimodal users. Further, our findings suggest that subjects with poor sound localization ability benefit the most from the device delay mismatch compensation.

PMID:37194477 | DOI:10.1177/23312165231171987