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Nevin Manimala Statistics

Safety and efficacy of myofascial release therapy in the treatment of patients with hemophilic ankle arthropathy. Single-blind randomized clinical trial

Physiother Theory Pract. 2024 Mar 26:1-10. doi: 10.1080/09593985.2024.2334752. Online ahead of print.

ABSTRACT

BACKGROUND: Hemophilia is characterized by degenerative joint damage. Patients with hemophilic arthropathy present joint damage, reduced range of motion, and decreased strength and functional capacity. Myofascial release therapy aims to decrease pain and improve tissue mobility and functionality.

OBJECTIVES: To evaluate the safety and efficacy of myofascial release therapy in patients with hemophilic ankle arthropathy.

METHOD: Single-blind randomized controlled trial. Fifty-eight adult patients with hemophilia were randomly allocated to the experimental group (myofascial release therapy with foam roller) or the control group (no intervention whatsoever). The daily home protocol of myofascial release therapy for the lower limbs using a foam roller lasted eight consecutive weeks. The primary variable was the safety of myofascial release therapy (weekly telephone follow-up). The secondary variables were pain intensity (visual analog scale), range of motion (goniometer), functional capacity (2-Minute Walk Test) and muscle strength (dynamometer), at baseline and at 8 and 10 weeks.

RESULTS: During the experimental phase, none of the patients in the experimental group developed ankle hemarthrosis. There were statistically significant changes in time*group interaction in ankle dorsal flexion (F[1.75] = 10.72; p < .001), functional capacity (F[1.16] = 5.24; p = .009) and gastrocnemius strength (F[2] = 26.01; p < .001). The effect size of the changes after the intervention was medium-large in pain intensity (d = -1.77), functional capacity (d = 1.34) and gastrocnemius strength (d = 0.76).

CONCLUSION: Myofascial release therapy is a safe form of physical therapy for patients with hemophilia. Myofascial release therapy can effectively complement prophylactic pharmacological treatment in patients with hemophilic arthropathy, improving range of motion in dorsal flexion, functional capacity and gastrocnemius strength.

PMID:38530214 | DOI:10.1080/09593985.2024.2334752

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Nevin Manimala Statistics

The effect of nurse-led remote telephone triage on symptom management of patients with cancer: A systematic review and meta-analysis

Worldviews Evid Based Nurs. 2024 Mar 26. doi: 10.1111/wvn.12721. Online ahead of print.

ABSTRACT

BACKGROUND: Cancer patients experience many symptoms. Nurse-led remote telephone triage can improve their quality of life by contributing to the management of these symptoms.

AIMS: This study aimed to investigate the effects of nurse-led remote telephone triage on symptom management of patients with cancer.

METHODS: The searches were conducted in 10 databases and gray literature from May 2023 to July 2023 without any year limitations. A fixed-effects model was used in the meta-analysis. Cochran’s Q chi-squared test and I2 statistics were used for heterogeneity. The PRISMA checklist was used. Data obtained from the included studies were analyzed using CMA 3 software.

RESULTS: Six relevant studies (1671 patients) were included. Nurse-led remote telephone triage was found to have a positive and moderate effect on parameters such as pain (Hedge’s g = 0.21, p < .001), fatigue (Hedge’s g = 0.28, p < .001), and depression (Hedge’s g = 0.24, p < .001) in patients with cancer. Also, the remote telephone triage had a positive and low effect on outcomes such as anxiety (Hedge’s g = 0.17, p = .001), nausea (Hedge’s g = 0.17, p = .004), and vomiting (Hedge’s g = 0.16, p = .007) but did not affect diarrhea results.

LINKING EVIDENCE TO ACTION: This study showed that nurse-led remote telephone triage considerably improved the symptoms of patients with cancer. This study will increase oncology nurses’ awareness that nurse-led remote telephone triage of patients with cancer can improve their symptoms. Remote symptom triage developed using evidence-based guidelines and protocols can significantly contribute to the regular follow-up of patients’ symptoms, providing quality care, and establishing appropriate symptom management programs and systems with high levels of evidence.

PMID:38530162 | DOI:10.1111/wvn.12721

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Nevin Manimala Statistics

Patterns of primary and secondary defects associated with non-syndromic cleft lip and palate: An epidemiological analysis in a Kenyan population

Congenit Anom (Kyoto). 2024 Mar 26. doi: 10.1111/cga.12564. Online ahead of print.

ABSTRACT

Cleft lip and palate deformities substantially burden individuals and families, particularly in low-income communities. However, a comprehensive understanding of the patterns and distribution of these deformities in Kenya remains limited. This retrospective cross-sectional study analyzed 647 clinical records from the BelaRisu Foundation registry in Kenya, spanning 2018-2022. After meticulous record verification and data extraction, cleft pattern modeling was used to analyze each case. Data were imported to SPSS version 29.0 and descriptive statistics were calculated, which included means, ranges, frequencies, percentages, and standard deviations. Additionally, a comparative analysis between genders was conducted. The findings revealed a higher average age of presentation compared with previous studies in Kenya, along with a greater susceptibility of males to cleft lip and palate defects overall. Noteworthy disparities in case distribution across provinces were observed. Cleft lip emerged as the most observed primary defect, while palatal fistulae constituted the most frequent secondary defect. Interestingly, while some results aligned with global trends, others diverged significantly from the existing literature, warranting further exploration and investigation. These findings shed light on the unique patterns and distribution of cleft lip and palate deformities in Kenya, highlighting the need for targeted interventions and support systems.

PMID:38530146 | DOI:10.1111/cga.12564

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Nevin Manimala Statistics

Effects of short birth interval on child malnutrition in the Asia-Pacific region: Evidence from a systematic review and meta-analysis

Matern Child Nutr. 2024 Mar 26:e13643. doi: 10.1111/mcn.13643. Online ahead of print.

ABSTRACT

Child malnutrition remains a significant concern in the Asia-Pacific region, with short birth intervals recognised as a potential risk factor. However, evidence of this association is inconclusive. This study aimed to systematically review the existing evidence and assess the summary effects of short birth interval on child malnutrition in the Asia-Pacific region. Five electronic databases were searched in May 2023 to identify relevant studies reporting the association between short birth interval and child malnutrition, including stunting, wasting, underweight, anaemia and overall malnutrition, in Asia-Pacific region between September 2000 and May 2023. Fixed-effects or random-effects meta-analysis was performed to estimate the summary effects of short birth interval on child malnutrition. Out of 56 studies meeting the inclusion criteria, 48 were included in quantitative synthesis through meta-analysis. We found a slightly higher likelihood of stunting (n = 25, odds ratio [OR] = 1.13; 95% confidence interval [CI]: 0.97-1.32) and overall malnutrition (n = 3, OR = 2.42; 95% CI: 0.88-6.65) among children born in short birth intervals compared to those with nonshort intervals, although the effect was not statistically significant. However, caution is warranted due to identified heterogeneity across studies. Subgroup analysis demonstrated significant effects of short birth intervals on child malnutrition in national-level studies and studies with larger sample sizes. These findings underscore short birth intervals as a significant contributor to child malnutrition in the Asia-Pacific region. Implementing effective policies and programs is vital to alleviate this burden, ultimately reducing child malnutrition and associated adverse outcomes, including child mortality.

PMID:38530129 | DOI:10.1111/mcn.13643

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Nevin Manimala Statistics

Interoceptive awareness mediated the effects of a 15-minute diaphragmatic breathing on empathy for pain: A randomized controlled trial

Psychophysiology. 2024 Mar 26:e14573. doi: 10.1111/psyp.14573. Online ahead of print.

ABSTRACT

Although empathy for pain plays an important role in positive interpersonal relationships and encourages engagement in prosocial behavior, it remains largely unknown whether empathy for pain could be effectively altered by psychophysiological techniques. This study aimed to investigate the impact of a single session of diaphragmatic breathing practice on empathy for pain and examine the potential mechanism involving interoceptive awareness. A total of 66 healthy participants were randomly assigned to the intervention group or the control group. The intervention group received a 15-minute diaphragmatic breathing (DB) practice with real-time biofeedback, while the control group was to gaze at a black screen at rest and not engaged in any other activities. Before and after the invention, all participants were instructed to evaluate the intensity and unpleasantness of empathy for pain while watching different pictures with pain or non-pain conditions. The Multidimensional Assessment of Interoceptive Awareness (MAIA) was then administered to measure interoceptive awareness. The results indicated a significant interaction between group and time with regard to empathy for pain and MAIA. The DB group showed a statistically significant decrease in both pain intensity and unpleasantness during the pain picture condition, as well as a noteworthy increase in MAIA scores. The control group did not demonstrate any substantial changes. More importantly, the regulation of attention, a dimension of MAIA, had a significant mediating effect on the impact of diaphragmatic breathing on reported unpleasantness. Diaphragmatic breathing could serve as a simple, convenient, and practical strategy to optimize human empathy for pain that warrants further investigation, which has important implications not only for individuals with impaired empathy for pain but also for the improvement of interoceptive awareness.

PMID:38530127 | DOI:10.1111/psyp.14573

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Nevin Manimala Statistics

Minimum acceptable diet and its predictors among children aged 6-23 months in Ethiopia. A multilevel cloglog regression analysis

Matern Child Nutr. 2024 Mar 26:e13647. doi: 10.1111/mcn.13647. Online ahead of print.

ABSTRACT

Despite significant progress made previously and the recognized health benefits of optimal feeding practices, ensuring a minimum acceptable diet in developing countries like Ethiopia remains a formidable challenge. Additionally, there is a scarcity of data in this area. Therefore, our study aims to identify predictors of a minimum acceptable diet using a powerful tool called complementary log-log regression analysis. Thus, it contributes to accelerating the pathway of ending child undernutrition thereby promoting optimal child health. A multilevel analysis was conducted among a weighted sample of 1427 children aged 6-23 months using the 2019 Ethiopian Demographic Health Survey (EDHS). The EDHS sample was stratified and selected in two stages. A minimum acceptable diet is defined as a composite of children fed with both minimum dietary diversity and minimum meal frequency. Data extraction took place between August 1 and 30, 2023. We used STATA software version 17 for data analysis. A complementary log-log regression model was fitted to identify significant predictors of the minimum acceptable diet. A p-value of ≤0.05 was used to declare statistically significant predictors. Only 10.44% (95CI: 8.90-12.15) of the children meet the minimum acceptable diet. Child aged (18-23 month) (AOR = 1.78, 95CI:1.14-2.78)], mother’s educational level (secondary and above education) (AOR = 279,95CI: 1.51-5.15), number of children three and above [(AOR = 0.78,95CI: 0.53-0.94], institutional delivery [AOR = 1.77,95CI: 1.11-3.11], having postnatal-check-up [AOR = 2.33,95CI: 1.59-3.41] and high community poverty level (AOR = 0.49,95CI: 0.29-0.85) were found to be predictors of minimum acceptable diet. In Ethiopia, only one in ten children achieve a minimum acceptable diet. Which is lower than the global report findings (16%). Enhancing maternal education programs and promoting family planning strategies to reduce household size are essential. Besides, encouraging institutional deliveries and postnatal check-ups are also recommended. It is necessary to implement targeted interventions for poverty reduction in communities to ensure that families can afford nutritious diets for their children.

PMID:38530126 | DOI:10.1111/mcn.13647

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Nevin Manimala Statistics

Using machine learning with atomistic surface and local water features to predict heterogeneous ice nucleation

J Chem Phys. 2024 Mar 28;160(12):124501. doi: 10.1063/5.0177706.

ABSTRACT

Heterogeneous ice nucleation (HIN) has applications in climate science, nanotechnology, and cryopreservation. Ice nucleation on the earth’s surface or in the atmosphere usually occurs heterogeneously involving foreign substrates, known as ice nucleating particles (INPs). Experiments identify good INPs but lack sufficient microscopic resolution to answer the basic question: What makes a good INP? We employ molecular dynamics (MD) simulations in combination with machine learning (ML) to address this question. Often, the large amount of computational cost required to cross the nucleation barrier and observe HIN in MD simulations is a practical limitation. We use information obtained from short MD simulations of atomistic surface and water models to predict the likelihood of HIN. We consider 153 atomistic substrates with some surfaces differing in elemental composition and others only in terms of lattice parameters, surface morphology, or surface charges. A range of water features near the surface (local) are extracted from short MD simulations over a time interval (≤300 ns) where ice nucleation has not initiated. Three ML classification models, Random Forest (RF), support vector machine, and Gaussian process classification are considered, and the accuracies achieved by all three approaches lie within their statistical uncertainties. Including local water features is essential for accurate prediction. The accuracy of our best RF classification model obtained including both surface and local water features is 0.89 ± 0.05. A similar accuracy can be achieved including only local water features, suggesting that the important surface properties are largely captured by the local water features. Some important features identified by ML analysis are local icelike structures, water density and polarization profiles perpendicular to the surface, and the two-dimensional lattice match to ice. We expect that this work, with its strong focus on realistic surface models, will serve as a guide to the identification or design of substrates that can promote or discourage ice nucleation.

PMID:38530008 | DOI:10.1063/5.0177706

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Nevin Manimala Statistics

“Predicting intraocular lens tilt using a machine learning concept”

J Cataract Refract Surg. 2024 Mar 26. doi: 10.1097/j.jcrs.0000000000001452. Online ahead of print.

ABSTRACT

OBJECTIVE: Aim of this study was to use a combination of partial least squares regression and a machine learning approach to predict IOL tilt using pre-operative biometry data.

SETTING: Patients scheduled for cataract surgery at the Kepler University Clinic Linz.

DESIGN: Prospective single center study.

METHODS: Optical coherence tomography, autorefraction and subjective refraction was performed at baseline and 8 weeks after cataract surgery. In analysis I only one eye per patient was included and a tilt prediction model was generated. In analysis II a pair-wise comparison between right and left eyes was performed.

RESULTS: In analysis I 50 eyes of 50 patients were analysed. Difference in amount, orientation and vector from pre- to post-operative lens tilt was -0.13°, 2.14° and 1.20° respectively. A high predictive power (variable importance for projection) for post-operative tilt prediction was found for pre-operative tilt (VIP=2.2), pupil decentration (VIP=1.5), lens thickness (VIP=1.1), axial eye length (VIP=0.9) and pre-operative lens decentration (VIP=0.8). These variables were applied to a machine learning algorithm resulting in an out of bag score of 0.92°. In analysis II 76 eyes of 38 patients were included. The difference of pre- to post-operative IOL tilt of right and left eyes of the same individuum was statistically relevant.

CONCLUSION: Post-operative IOL tilt showed excellent predictability using pre-operative biometry data and a combination of partial least squares regression and a machine learning algorithm. Pre-operative lens tilt, pupil decentration, lens thickness, axial eye length and pre-operative lens decentration were found to be the most relevant parameters for this prediction model.

PMID:38529959 | DOI:10.1097/j.jcrs.0000000000001452

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Nevin Manimala Statistics

Patterns of Sleep Duration and Metabolic Biomarkers Across the Menstrual Cycle

J Clin Endocrinol Metab. 2024 Mar 26:dgae191. doi: 10.1210/clinem/dgae191. Online ahead of print.

ABSTRACT

CONTEXT: Along the menstrual cycle, associations between inconsistent sleep duration and levels of metabolic biomarkers are uncertain and could involve fluctuations in estrogen concentrations.

OBJECTIVE: To examine associations between patterns of sleep duration and metabolic biomarkers across two menstrual cycles within a cohort of premenopausal women.

METHODS: The BioCycle Study was conducted in New York between 2005-2007, enrolling 259 premenopausal women over two menstrual cycles. This micro-longitudinal cohort study involved intensive data collection including daily sleep diaries and biomarker assessments of leptin, insulin, and glucose at 16 key points timed to menstrual cycle phases. We considered dynamic sleep duration, as hours slept one night or as mean hours slept during the two nights prior to each biomarker assessment. Variability in habitual sleep duration, i.e., reported daily sleep duration, summarized across both menstrual cycles. Variation in habitual sleep duration was computed using L-moments, a robust version of dispersion, skewness, and kurtosis. To examine associations between patterns of sleep duration and metabolic biomarkers, we fitted a series of linear mixed models with random intercepts and inverse probability weighting. These models were adjusted for potential demographic, lifestyle, health confounders, and menstrual cycle phase.

RESULTS: Sleep duration one night or two nights prior to clinic visits were not associated with metabolic biomarker measures we assessed. However, overall variability (dispersion) in habitual sleep duration was associated with lower mean insulin HOMA-IR levels, but not glucose. Moreover, extreme short or long bouts of sleep duration was associated with higher mean levels of leptin, insulin, and HOMA-IR.

CONCLUSIONS: These data suggest that variation in habitual sleep duration along the menstrual cycle may be associated with metabolic function.

PMID:38529946 | DOI:10.1210/clinem/dgae191

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Nevin Manimala Statistics

Effects of Aloe Gel on Lactating Women with Nipple Trauma

Breastfeed Med. 2024 Mar 26. doi: 10.1089/bfm.2023.0265. Online ahead of print.

ABSTRACT

Background: To investigate the efficacy of aloe gel in reducing pain and promoting wound healing in postpartum women with nipple trauma. Method: There were 80 postpartum women who took part in this study having developed nipple trauma during breastfeeding in the obstetrics department of a tertiary grade A hospital in Suzhou from January to December 2021. Postpartum women with nipple trauma whose hospital bed numbers ranged between 15 and 33 were included in the test group, whereas those whose hospital bed numbers ranged between 35 and 53 were included in the control group. Both groups received health education and breastfeeding guidance. The control group applied lanolin cream to their nipple trauma, whereas the test group used aloe gel. We used a nipple trauma severity assessment table to determine the severity of nipple trauma in lactating women and a Visual Analogue Scale (VAS) to determine the level of nipple pain and referred to the Traditional Chinese Medicine Standard for Diagnosis and Therapeutic Efficacy for Diseases and Syndromes to determine the healing time of their wounds. Results: The test group scored 3.70 ± 1.24 and 1.65 ± 0.74 points on the VAS on the first and third days following the intervention, whereas the control group scored 4.30 ± 0.94 and 2.23 ± 1.07 points, respectively. It took 3.75 ± 1.08 days and 4.45 ± 1.15 days for the nipple pain to completely disappear in the test group and the control group, respectively. The healing period for nipple trauma was 5.28 ± 1.26 days for the test group and 6.03 ± 1.61 days for the control group. All of the aforementioned distinctions were statistically significant (p < 0.05). Conclusions: Aloe gel can significantly alleviate the pain associated with nipple trauma in lactating women, accelerate wound healing, and reduce the duration of nipple trauma.

PMID:38529934 | DOI:10.1089/bfm.2023.0265