Tag: nevin manimala

Eur J Epidemiol. 2022 Apr 23. doi: 10.1007/s10654-022-00858-5. Online ahead of print.

ABSTRACT

Chocolate is a rich dietary source of various bioactive flavonoid compounds. Despite being one of the most popular foods worldwide, the association between chocolate consumption and long-term mortality remains unclear. The objective of this study is to determine the associations between chocolate consumption and long-term overall and cause-specific mortality, to evaluate dose-response and potential mediators, and to conduct an updated meta-analysis based on prospective cohort studies. We performed a prospective analysis in the Alpha-Tocopherol, Beta-Carotene cancer prevention (ATBC) Study with a total of 27,111 men who were recruited between 1985 and 1988 and followed through 2015. Exposure data of daily chocolate consumption was obtained from validated baseline food frequency questionnaire. Hazard ratios (HRs) and 30-year absolute risk differences (ARDs) including 95% confidence intervals (CI) for overall and cause-specific mortality were estimated using multivariable-adjusted Cox proportional hazards regression models. An updated meta-analysis of cohort studies was also conducted. During 482,807 person-years of follow-up, a total of 22,064 men died. The multivariable analyses showed a statistically significant inverse association between chocolate consumption and risk of overall mortality, with HRs of 0.91, 0.89, 0.89, and 0.88 for the increasing categories 2-5 as compared with those in the lowest category (P_trend < 0.0001, and P for nonlinearity < 0.0001). We observed significantly lower mortality from cardiovascular disease (CVD), heart disease and cancer, representing 13%, 16% and 12% risk reductions for the highest compared to lowest chocolate category, respectively (all P_trend ≤ 0.002; all P for nonlinearity < 0.0001). The inverse associations of chocolate consumption with risk of overall, CVD and heart disease mortality were generally consistent across cohort subgroups (e.g., body mass index and serum cholesterol). Mediation analysis showed that 4.3% of the inverse association of chocolate and overall mortality was mediated through reducing blood pressure. Within the updated meta-analysis of cohort studies (21 risk estimates, 908,390 participants and 65,407 events), greater consumption of chocolate (per 5 g/day) was associated with a lower risk of CVD incidence and mortality (pooled relative risk = 0.98, P value < 0.001; P for nonlinearity < 0.001). The predefined subgroup analyses generally revealed consistent inverse chocolate-CVD risk associations. In this prospective study, calorie-balanced greater consumption of chocolate was inversely associated with lower overall, CVD, heart disease and cancer mortality. The systematic review and meta-analysis provide support for the inverse chocolate-CVD association. Our findings may provide evidence to partially allay concerns regarding adverse health outcomes from low-to-moderate chocolate consumption.

PMID:35460393 | DOI:10.1007/s10654-022-00858-5

ACR Open Rheumatol. 2022 Apr 23. doi: 10.1002/acr2.11434. Online ahead of print.

ABSTRACT

OBJECTIVE: Although a high-resolution computed tomography (HRCT) scan of the chest is the gold standard test for the detection of interstitial lung disease (ILD), there is no consensus among rheumatologists regarding the use of HRCT to screen for ILD in their patients with systemic sclerosis (SSc). The aims of this study were to describe the HRCT ordering practices at SSc centers in the United States and to determine which patient characteristics are associated with HRCT performance.

METHODS: We performed a prospective cohort study of patients with SSc enrolled in the US-based Collaborative National Quality and Efficacy Registry (CONQUER). We performed univariate logistic regression followed by multivariable logistic regression to determine which patient characteristics were associated with HRCT performance.

RESULTS: Of the 356 patients with SSc enrolled in CONQUER, 286 (80.3%) underwent HRCT at some point during their disease course. On multivariable analyses, missing total lung capacity percent predicted (odds ratio [OR] 3.26, 95% confidence interval [CI]: 1.53-7.41, P = 0.007) was positively associated with ever having undergone HRCT, whereas a positive anti-centromere antibody (OR 0.27, 95% CI: 0.12-0.61, P = 0.008) and missing forced vital capacity percent predicted (OR 0.29, 95% CI: 0.10-0.80, P = 0.005) were negatively associated with ever having undergone HRCT. There was a trend toward a positive association between crackles on pulmonary exam and ever having undergone HRCT (OR 2.28, 95% CI: 0.97-6.05, P = 0.058), although this relationship did not reach statistical significance.

CONCLUSION: The majority of patients with SSc enrolled in CONQUER underwent HRCT. A positive anti-centromere antibody was the key clinical variable inversely associated with performance of HRCT.

PMID:35460213 | DOI:10.1002/acr2.11434

J Obstet Gynaecol Res. 2022 Apr 23. doi: 10.1111/jog.15262. Online ahead of print.

ABSTRACT

AIMS: To introduce and compare the modified laparoscopic Vecchietti and Davydov techniques for vaginoplasty in patients with Mayer-Rokitansky-Küster-Hauser (MRKH) syndrome. Moreover, the long-term treatment of vaginal agenesis was followed-up.

METHODS: This comparative retrospective cohort study enrolled a total of 53 women with MRKH syndrome. The patients underwent surgical creation of a neovagina including 32 patients who underwent the modified laparoscopic Vecchietti technique, and 21 patients who underwent the modified laparoscopic Davydov technique from January 2009 to February 2019. The perioperative parameters, complications, anatomical, and functional outcomes of the two groups were compared. Patients’ sexual functions were evaluated over a long-term follow-up using the female sexual function index (FSFI) and the revised female sexual distress scale (FSDS-R).

RESULTS: The medians (25th-75th) of the surgery duration for modified Vecchietti procedures was 50.0 (40.0-59.0) minutes, comparing to 135.0 (117.5-162.5) min for Davydov procedures (p < 0.001). The intraoperative blood loss was 20 (7.5-20.0) mL versus 50.0 (50.0-100.0) mL using the modified Vecchietti and Davydov approaches (p < 0.001), respectively. In the 39 follow-up cases, the lengths of the neovagina of the patients for Vecchietti group versus Davydov group were 7.9 ± 1.0 cm versus 8.6 ± 1.2 cm at 6 months after the vaginoplasty and 8.3 ± 0.7 cm versus 8.5 ± 0.9 cm after 2 years. There was no statistical difference in the FSFI and FSDS-R scores between the two groups.

CONCLUSIONS: Both the modified Davydov and Vecchietti laparoscopic procedures successfully achieved optimal anatomic and functional outcomes in treatments of vaginal agenesis. The modified Vecchietti technique is relatively simpler than the modified Davydov technique.

PMID:35460152 | DOI:10.1111/jog.15262

Dermatol Ther. 2022 Apr 22:e15534. doi: 10.1111/dth.15534. Online ahead of print.

ABSTRACT

Melasma is a benign, acquired disorder of hyperpigmentation commonly affecting the face. Though easily diagnosable, a tangible treatment for melasma still remains elusive. To compare the therapeutic efficacy and safety of tranexamic acid (TXA) and platelet rich plasma (PRP) microinjections in treating patients with melasma. In total, 40 patients with melasma (10 males, 30 females; age range: 21-54 years) were enrolled, and randomly assigned to one of the two groups consisting of 20 patients each. Group A (3 males, 17 females) received intradermal microinjections of TXA (4 mg/mL) and group B (5 males, 15 females) received intradermal microinjections of PRP, once every 4 weeks for a total of 5 treatment sessions. Clinical images were taken at each visit and improvement in melasma was evaluated using both melasma area severity index (MASI) and modified melasma area severity index (mMASI) scoring systems. Percentage reduction of both MASI and mMASI scores were also assessed at each visit, and the grade of melasma improvement was accordingly outlined for each patient. The study was completed by 18 patients in group A (TXA) and 15 patients in group B (PRP). In group A, both MASI and mMASI scores reduced significantly from 16.6 ± 9.227 at baseline to 10.028 ± 8.07 at end point; and 8.885 ± 5.418 at baseline to 4.639 ± 3.863 at end point respectively (p value <0.01). Similarly in group B significant reduction in both scores were observed at the end of treatment. MASI declined from 20.42 ± 7.979 to 12.253 ± 7.37; and mMASI plummeted to 5.613 ± 3.98 from 10.673 ± 4.642 (p value <0.01). In group A, the difference in mean reduction of MASI and mMASI from baseline to end point was 6.572 ± 4.528 and 4.211 ± 2.647 respectively. In group B, the difference in mean reduction of both scores at the end of treatment reflected values of 8.167 ± 4.975(MASI) and 5.06 ± 2.977 (mMASI). No significant adverse effects were encountered in both treatment arms during the entire duration of study. Both TXA and PRP microinjections are effective and safe therapeutic options for melasma, and provide rapid and substantial improvement even when used as a standalone therapy. Although PRP mesotherapy was found to be slightly better than intradermal TXA in our study, the results were not significant statistically. This article is protected by copyright. All rights reserved.

PMID:35460158 | DOI:10.1111/dth.15534

J Appl Clin Med Phys. 2022 Apr 23:e13609. doi: 10.1002/acm2.13609. Online ahead of print.

ABSTRACT

OBJECTIVE: To quantify the clinical performance of a machine learning (ML) algorithm for organ-at-risk (OAR) dose prediction for lung stereotactic body radiation therapy (SBRT) and estimate the treatment planning benefit from having upfront access to these dose predictions.

METHODS: ML models were trained using multi-center data consisting of 209 patients previously treated with lung SBRT. Two prescription levels were investigated, 50 Gy in five fractions and 54 Gy in three fractions. Models were generated using a gradient-boosted regression tree algorithm using grid searching with fivefold cross-validation. Twenty patients not included in the training set were used to test OAR dose prediction performance, ten for each prescription. We also performed blinded re-planning based on OAR dose predictions but without access to clinically delivered plans. Differences between predicted and delivered doses were assessed by root-mean square deviation (RMSD), and statistical differences between predicted, delivered, and re-planned doses were evaluated with one-way analysis of variance (ANOVA) tests.

RESULTS: ANOVA tests showed no significant differences between predicted, delivered, and replanned OAR doses (all p ≥ 0.36). The RMSD was 2.9, 3.9, 4.3, and 1.7Gy for max dose to the spinal cord, great vessels, heart, and trachea, respectively, for 50 Gy in five fractions. Average improvements of 1.0, 1.4, and 2.0 Gy were seen for spinal cord, esophagus, and trachea max doses in blinded replans compared to clinically delivered plans with 54 Gy in three fractions, and 1.8, 0.7, and 1.5 Gy, respectively, for the esophagus, heart and bronchus max doses with 50 Gy in five fractions. Target coverage was similar with an average PTV V100% of 94.7% for delivered plans compared to 97.3% for blinded re-plans for 50 Gy in five fractions, and respectively 98.4% versus 99.2% for 54 Gy in three fractions.

CONCLUSION: This study validated ML-based OAR dose prediction for lung SBRT, showing potential for improved OAR dose sparing and more consistent plan quality using dose predictions for patient-specific planning guidance.

PMID:35460150 | DOI:10.1002/acm2.13609

J Sleep Res. 2022 Apr 22. doi: 10.1111/jsr.13604. Online ahead of print.

ABSTRACT

Insomnia disorder comprises symptoms during night and day that strongly affect quality of life and wellbeing. Prolonged sleep latency, difficulties to maintain sleep and early morning wakening characterize sleep complaints, whereas fatigue, reduced attention, impaired cognitive functioning, irritability, anxiety and low mood are key daytime impairments. Insomnia disorder is well acknowledged in all relevant diagnostic systems: Diagnostic and Statistical Manual of the American Psychiatric Association, 5th revision, International Classification of Sleep Disorders, 3rd version, and International Classification of Diseases, 11th revision. Insomnia disorder as a chronic condition is frequent (up to 10% of the adult population, with a preponderance of females), and signifies an important and independent risk factor for physical and, especially, mental health. Insomnia disorder diagnosis primarily rests on self-report. Objective measures like actigraphy or polysomnography are not (yet) part of the routine diagnostic canon, but play an important role in research. Disease concepts of insomnia range from cognitive-behavioural models to (epi-) genetics and psychoneurobiological approaches. The latter is derived from knowledge about basic sleep-wake regulation and encompass theories like rapid eye movement sleep instability/restless rapid eye movement sleep. Cognitive-behavioural models of insomnia led to the conceptualization of cognitive-behavioural therapy for insomnia, which is now considered as first-line treatment for insomnia worldwide. Future research strategies will include the combination of experimental paradigms with neuroimaging and may benefit from more attention to dysfunctional overnight alleviation of distress in insomnia. With respect to therapy, cognitive-behavioural therapy for insomnia merits widespread implementation, and digital cognitive-behavioural therapy may assist delivery along treatment guidelines. However, given the still considerable proportion of patients responding insufficiently to cognitive-behavioural therapy for insomnia, fundamental studies are highly necessary to better understand the brain and behavioural mechanisms underlying insomnia. Mediators and moderators of treatment response/non-response and the associated development of tailored and novel interventions also require investigation. Recent studies suggest that treatment of insomnia may prove to add significantly as a preventive strategy to combat the global burden of mental disorders.

PMID:35460140 | DOI:10.1111/jsr.13604

J Magn Reson Imaging. 2022 Apr 22. doi: 10.1002/jmri.28199. Online ahead of print.

ABSTRACT

BACKGROUND: In vivo cardiac diffusion tensor imaging (cDTI) characterizes myocardial microstructure. Despite its potential clinical impact, considerable technical challenges exist due to the inherent low signal-to-noise ratio.

PURPOSE: To reduce scan time toward one breath-hold by reconstructing diffusion tensors for in vivo cDTI with a fitting-free deep learning approach.

STUDY TYPE: Retrospective.

POPULATION: A total of 197 healthy controls, 547 cardiac patients.

FIELD STRENGTH/SEQUENCE: A 3 T, diffusion-weighted stimulated echo acquisition mode single-shot echo-planar imaging sequence.

ASSESSMENT: A U-Net was trained to reconstruct the diffusion tensor elements of the reference results from reduced datasets that could be acquired in 5, 3 or 1 breath-hold(s) (BH) per slice. Fractional anisotropy (FA), mean diffusivity (MD), helix angle (HA), and sheetlet angle (E2A) were calculated and compared to the same measures when using a conventional linear-least-square (LLS) tensor fit with the same reduced datasets. A conventional LLS tensor fit with all available data (12 ± 2.0 [mean ± sd] breath-holds) was used as the reference baseline.

STATISTICAL TESTS: Wilcoxon signed rank/rank sum and Kruskal-Wallis tests. Statistical significance threshold was set at P = 0.05. Intersubject measures are quoted as median [interquartile range].

RESULTS: For global mean or median results, both the LLS and U-Net methods with reduced datasets present a bias for some of the results. For both LLS and U-Net, there is a small but significant difference from the reference results except for LLS: MD 5BH (P = 0.38) and MD 3BH (P = 0.09). When considering direct pixel-wise errors the U-Net model outperformed significantly the LLS tensor fit for reduced datasets that can be acquired in three or just one breath-hold for all parameters.

DATA CONCLUSION: Diffusion tensor prediction with a trained U-Net is a promising approach to minimize the number of breath-holds needed in clinical cDTI studies.

EVIDENCE LEVEL: 4 TECHNICAL EFFICACY: Stage 1.

PMID:35460138 | DOI:10.1002/jmri.28199

Am J Hum Biol. 2022 Apr 23:e23753. doi: 10.1002/ajhb.23753. Online ahead of print.

ABSTRACT

OBJECTIVES: Imaging methods to measure the human pelvis in vivo provide opportunities to better understand pelvic variation and adaptation. Magnetic resonance imaging (MRI) provides high-resolution images, but is more expensive than dual-energy X-ray absorptiometry (DXA). We sought to compare pelvic breadth measurements collected from the same individuals using both methods, to investigate if there are systematic differences in pelvic measurement between these imaging methods.

METHODS: Three pelvic breadth dimensions (bi-iliac breadth, bi-acetabular breadth, medio-lateral inlet breadth) were collected from MRI and DXA scans of a cross-sectional sample of healthy, nulliparous adult women of South Asian ancestry (n = 63). Measurements of MRI and DXA pelvic dimensions were collected four times in total, with one baseline data collection session and three replications. Data collected from these sessions were averaged, used to calculate technical error of measurement and entered into a Bland-Altman analysis. Linear regression models were fitted with a given MRI pelvic measurement regressed on the same measurement collected from DXA scans, as well as MRI mean bias regressed on DXA mean bias.

RESULTS: Technical error of measurement was higher in DXA measurements of bi-iliac breadth and medio-lateral pelvic inlet breadth and higher for MRI measurements of bi-acetabular breadth. Bland Altman analyses showed no statistically significant relationship between the mean bias of MRI and DXA, and the differences between MRI and DXA pelvic measurements.

CONCLUSIONS: DXA measurements of pelvic breadth are comparable to MRI measurements of pelvic breadth. DXA is a less costly imaging technique than MRI and can be used to collect measurements of skeletal elements in living people.

PMID:35460113 | DOI:10.1002/ajhb.23753

Birth. 2022 Apr 22. doi: 10.1111/birt.12633. Online ahead of print.

ABSTRACT

INTRODUCTION: Despite calls for increased vaginal birth after cesarean (VBAC), <14% of candidates have VBAC. Requirements for documentation of scar type, and prohibitions on induction or augmentation of labor are not supported by evidence but may be widespread. The purpose of this study was to document midwives’ perceptions of barriers to labor after cesarean (LAC) and their effects on midwives’ ability to accommodate patient desires for LAC.

METHODS: Midwives certified by the American Midwifery Certification Board (AMCB) were surveyed in 2019. Multiple option and open-ended text responses were analyzed using quantitative statistics and thematic content analysis. Select barriers to LAC, ability to accommodate LAC, and supportiveness of collaborators among midwives offering LAC were explored.

RESULTS: Responses from 1398 midwives were analyzed. Eighty-four percent felt able to accommodate LAC “most of the time,” and 39% reported one or more barriers to LAC. Barriers decreased ability to accommodate LAC by as much as 80%. Analysis of text responses revealed specific themes.

CONCLUSIONS: Thirty-nine percent of midwives reported their practice was limited by one or more barriers that were inconsistent with professional guidelines. Imposition of barriers was driven primarily by collaborating physicians, and superceded supportive practices of midwives, nurses, and system administrators. Affected midwives were significantly less able to accommodate patient requests for LAC than those not affected. Midwives also reported pride in providing VBAC care, restrictions specific to midwifery scope of practice, and variation in physician support for LAC within practices affecting their ability to provide care.

PMID:35460106 | DOI:10.1111/birt.12633

Risk Anal. 2022 Apr 22. doi: 10.1111/risa.13934. Online ahead of print.

ABSTRACT

During public emergencies, the level of public safety will be resilient and follow a process from decline to rise. Regarding the concept and influencing factors of public safety resilience, a three-level public safety resilience framework that includes personal, community, and government levels was proposed in this study. It provided the overall metrics that used the resistance and recovery ability to describe the dynamic characteristics of public safety resilience as well as the resilience assessment indexes on three levels. In the context of the Coronavirus Disease 2019 (COVID-19) pandemic, this study applied the proposed framework in a case study on public safety resilience at the Beihang community, Beijing, China through descriptive statistics, structural equation model, and principal component regression analysis of questionnaire data. The data analysis results showed that community resilience was the most important of the three levels of public safety resilience. In addition, community resilience could improve personal resilience, and government resilience had a positive effect on community and personal resilience. Compared with the resistance ability, the recovery ability was influenced more by the operation and improvement of the community. This study is conducive to understanding and improving public safety resilience on the personal, community, and government levels and can help relevant parties improve their ability to respond to the COVID-19 pandemic. Furthermore, the methods used in this study can be extended to other studies on public emergencies.

PMID:35460097 | DOI:10.1111/risa.13934