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Nevin Manimala Statistics

The COVID-19 Pandemic in the Nawalparasi District of Nepal: a mixed methods assessment of increased alcohol use and violence against women

BMC Public Health. 2023 Mar 18;23(1):524. doi: 10.1186/s12889-023-14997-1.

ABSTRACT

BACKGROUND: In Nepal and across the globe, the COVID-19 pandemic has primed an environment for increased rates of violence against women (VAW). This paper explores pandemic-driven economic insecurity and increased alcohol use as instigators of VAW and Intimate Partner Violence (IPV) within newly married households in the rural, Nawalparasi region of Nepal.

METHODS: This study is a secondary analysis of data obtained from the Sumadhur Intervention pilot study that has been previously described and demonstrates successful implementation of group-based, household-level intervention for women’s empowerment and sexual and reproductive health education (1). Our three sets of data were collected before and during the COVID-19 pandemic. The first set is from a Longitudinal Cohort of 200 newly married women who were surveyed twice a year from February 2017 through July 2020. The second data set is a subset cohort of newly married women, their husbands, and their mothers-in-law (31 women, 31 husbands and 31 mothers-in-law) who participated in Sumadhur in January 2021. The third data set was obtained through in-depth interviews in July 2021 from 15 households following Sumadhur. The interviews were thematically coded, and subthemes were identified. A t-test of the January 2021 survey data set was run to look at correlations between income loss, alcohol consumption and experience of IPV among newly married women. All other survey data was analyzed for change over time.

RESULTS: At three months after the onset of the pandemic (July 2020), the Longitudinal Cohort survey data from newly married women reported increased rates of husbands’ alcohol use as well as personal experiences of IPV as compared to pre-pandemic averages. There was a statistically significant difference (p < 0.001) in the effects of income loss on increased alcohol use and experience of IPV. Qualitative results iterated the common theme of alcohol use and economic insecurity as upstream instigators of VAW in the community.

CONCLUSIONS: In the Nawalparasi district of Nepal, the pandemic has led to unstable economic situations that have instigated alcohol use among men, and increased rates of IPV among young, newly married women, and reports of VAW in the community. We have demonstrated a need for urgent programmatic and policy responses aimed at reducing VAW and IPV and protecting women during times of uncertainty and crisis.

PMID:36934217 | DOI:10.1186/s12889-023-14997-1

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Nevin Manimala Statistics

Development and implementation of a decision aid for post-mastectomy breast reconstruction for Japanese women with breast cancer: a field-testing study

Breast Cancer. 2023 Mar 18. doi: 10.1007/s12282-023-01447-4. Online ahead of print.

ABSTRACT

INTRODUCTION: Surgical options for post-mastectomy breast reconstruction (PMBR) have increased and become more diverse. These options may cause difficulty and stress for patients in making the best choice, and this also increases the likelihood of postoperative regret over a particular decision. To solve this issue, implementation of shared decision-making (SDM) using a decision aid (DA) has become of increasing interest. We have created the first prototype DA in Japan. The aim of the current field study was to assess the usability of this DA in promoting effective SDM and avoiding regret over a decision to undergo reconstructive surgery.

METHODS: A total of 25 consecutive patients who underwent BR were enrolled in the study, including 13 with SDM using the decision aid (DA + group) and 12 who received standard information (DA- group) before their choice of surgery. The Decision Regret Scale (DRS) were completed after PMBR, whereas SDM Questionnaire (SDM-Q-9) was completed before PMBR. Descriptive and summary statistics were compared to identify differences between the two groups to assess the usability of the DA.

RESULTS: The DA + group had significantly higher mean total scores on the SDM-Q-9 (90.2 ± 5.3 vs. 84.1 ± 3.5, P = 0.0034) and DRS (90.3 ± 3.8 vs. 84.3 ± 6.7, P = 0.023), compared to those in the DA- group.

CONCLUSION: Use of the DA may cause patients to have a higher level of perceived SDM and less regret, which suggests that the DA helps to facilitate smooth and effective implementation of SDM. We conclude that this type of decision-making approach should be recommended for choice of surgery for PMBR.

PMID:36934211 | DOI:10.1007/s12282-023-01447-4

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Nevin Manimala Statistics

Can green finance, green technologies, and environmental policy stringency leverage sustainability in China: evidence from quantile-ARDL estimation

Environ Sci Pollut Res Int. 2023 Mar 18. doi: 10.1007/s11356-023-26346-1. Online ahead of print.

ABSTRACT

Environmental sustainability is an umbrella approach depending on various climatic and economic policies. In doing so, the current study empirically evaluates the role of green finance, eco-innovation, and environmental policy stringency on the ecological footprint in China. To meet the objectives, the novel quantile autoregressive distributed lag (QARDL) approach was employed from 2000 to 2017. The outcomes reveal heterogeneous associations between the proposed variables. Manifestly, the QARDL estimation results demonstrate a positive impact between eco-innovation, green finance, and environmental policy stringency with the ecological footprints of China; however, the extent of the relationship is quantile dependent. The outcomes are further validated through the Wald test of parameter constancy. The bi-direction causality is observed among all variables at several quantiles. The current study offers policymakers helpful suggestions on enhancing the positive effects of environmentally supported innovation, green finance, and stringent environmental policies on the ecosystem.

PMID:36934184 | DOI:10.1007/s11356-023-26346-1

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Nevin Manimala Statistics

Non-sentinel node metastasis prediction during surgery in breast cancer patients with one to three positive sentinel node(s) following neoadjuvant chemotherapy

Sci Rep. 2023 Mar 18;13(1):4480. doi: 10.1038/s41598-023-31628-2.

ABSTRACT

Our aim was to develop a tool to accurately predict the possibility of non-sentinel lymph node metastasis (NSLNM) during surgery so that a surgeon might decide the extent of further axillary lymph node dissection intraoperatively for patients with 1-3 positive sentinel lymph node(s) (SLN) after neoadjuvant chemotherapy. After retrospective analysis of Asan Medical Center (AMC) database, we included 558 patients’ records who were treated between 2005 and 2019. 13 factors were assessed for their utility to predict NSLNM with chi-square and logistic regression with a bootstrapped, backward elimination method. Based on the result of the univariate analysis for statistical significance, number of positive SLN(s), number of frozen nodes, Progesterone Receptor (PR) positivity, clinical N stage were selected for the multivariate analysis and were utilized to generate a nomogram for prediction of residual nodal disease. The resulting nomogram was tested for validation by using a patient group of more recent, different time window at AMC. We designed a nomogram to be predictive of the NSLNM which consisted of 4 components: number of SLN(s), number of frozen nodes, PR positivity, and clinical N stage before neoadjuvant chemotherapy. The Area under the receiver operating characteristics curve (AUC) value of this formula was 0.709 (95% CI, 0.658-0.761) for development set and 0.715 (95% CI, 0.634-0.796) for validation set, respectively. This newly created AMC nomogram may provide a useful information to a surgeon for intraoperative guidance to decide the extent of further axillary surgery.

PMID:36934173 | DOI:10.1038/s41598-023-31628-2

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Nevin Manimala Statistics

Agrimonia: a dataset on livestock, meteorology and air quality in the Lombardy region, Italy

Sci Data. 2023 Mar 18;10(1):143. doi: 10.1038/s41597-023-02034-0.

ABSTRACT

The air in the Lombardy region, Italy, is one of the most polluted in Europe because of limited air circulation and high emission levels. There is a large scientific consensus that the agricultural sector has a significant impact on air quality. To support studies quantifying the role of the agricultural and livestock sectors on the Lombardy air quality, this paper presents a harmonised dataset containing daily values of air quality, weather, emissions, livestock, and land and soil use in the years 2016-2021, for the Lombardy region. The daily scale is obtained by averaging hourly data and interpolating other variables. In fact, the pollutant data come from the European Environmental Agency and the Lombardy Regional Environment Protection Agency, weather and emissions data from the European Copernicus programme, livestock data from the Italian zootechnical registry, and land and soil use data from the CORINE Land Cover project. The resulting dataset is designed to be used as is by those using air quality data for research.

PMID:36934159 | DOI:10.1038/s41597-023-02034-0

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Nevin Manimala Statistics

Ultrathin Descemet Stripping Automated Endothelial Keratoplasty (UT-DSAEK) versus Descemet Membrane Endothelial Keratoplasty (DMEK)-a systematic review and meta-analysis

Eye (Lond). 2023 Mar 18. doi: 10.1038/s41433-023-02467-2. Online ahead of print.

ABSTRACT

BACKGROUND/OBJECTIVES: Endothelial keratoplasty (EK) is a commonly performed transplant procedure used in the treatment of corneal endothelial dysfunction. The aim of this systematic review and meta-analysis is to evaluate the differences in visual acuity outcomes, endothelial cell density (ECD) and complications between two forms of EK, ultrathin Descemet stripping automated endothelial keratoplasty (UT-DSAEK) and Descemet membrane endothelial keratoplasty (DMEK).

METHODS: A literature search of MEDLINE, Embase and Cochrane Library was conducted to identify studies reporting comparative results of UT-DSAEK versus DMEK. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement was used for search strategy. Of 141 titles, 7 studies met the inclusion criteria; best corrected visual acuity (BCVA) (LogMAR), ECD (cells/mm2), and complications were compared, with all statistical analysis performed using Review Manager.

RESULTS: A total of 362 eyes were included for analysis. DMEK resulted in significantly better BCVA at 3 months (0.14 vs 0.22, p = 0.003), 6 months (0.08 vs 0.18, p = 0.005) and 1 year post-op (0.07 vs 0.14, p = 0.0005). UT-DSAEK resulted in significantly lower total complications (25.2% vs 57.3%, p = 0.0001) and rates of re-bubbling (11.0% vs 33.7%, p = 0.004). No differences were found in ECD between the two procedures (1541 vs 1605, p = 0.77).

CONCLUSIONS: DMEK results in superior visual acuity rates with quicker recovery. However, UT-DSAEK has a more favourable complication profile, particularly regarding lower rates of re-bubbling. Both are valuable options in the treatment of corneal endothelial disease and choice of procedure may depend on surgical expertise.

PMID:36934158 | DOI:10.1038/s41433-023-02467-2

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Nevin Manimala Statistics

Activity of ex vivo graft and DLI Engineering within the last decade increases, a survey from the EBMT Cellular Therapy & Immunobiology Working Party

Bone Marrow Transplant. 2023 Mar 18. doi: 10.1038/s41409-023-01953-1. Online ahead of print.

NO ABSTRACT

PMID:36934148 | DOI:10.1038/s41409-023-01953-1

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Nevin Manimala Statistics

Taming hyperparameter tuning in continuous normalizing flows using the JKO scheme

Sci Rep. 2023 Mar 18;13(1):4501. doi: 10.1038/s41598-023-31521-y.

ABSTRACT

A normalizing flow (NF) is a mapping that transforms a chosen probability distribution to a normal distribution. Such flows are a common technique used for data generation and density estimation in machine learning and data science. The density estimate obtained with a NF requires a change of variables formula that involves the computation of the Jacobian determinant of the NF transformation. In order to tractably compute this determinant, continuous normalizing flows (CNF) estimate the mapping and its Jacobian determinant using a neural ODE. Optimal transport (OT) theory has been successfully used to assist in finding CNFs by formulating them as OT problems with a soft penalty for enforcing the standard normal distribution as a target measure. A drawback of OT-based CNFs is the addition of a hyperparameter, [Formula: see text], that controls the strength of the soft penalty and requires significant tuning. We present JKO-Flow, an algorithm to solve OT-based CNF without the need of tuning [Formula: see text]. This is achieved by integrating the OT CNF framework into a Wasserstein gradient flow framework, also known as the JKO scheme. Instead of tuning [Formula: see text], we repeatedly solve the optimization problem for a fixed [Formula: see text] effectively performing a JKO update with a time-step [Formula: see text]. Hence we obtain a “divide and conquer” algorithm by repeatedly solving simpler problems instead of solving a potentially harder problem with large [Formula: see text].

PMID:36934141 | DOI:10.1038/s41598-023-31521-y

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Nevin Manimala Statistics

MR-guided ultrasound-stimulated microbubble therapy enhances radiation-induced tumor response

Sci Rep. 2023 Mar 18;13(1):4487. doi: 10.1038/s41598-023-30286-8.

ABSTRACT

High intensity focused ultrasound (HIFU) systems have been approved for therapeutic ultrasound delivery to cause tissue ablation or induced hyperthermia. Microbubble agents have also been used in combination with sonication exposures. These require temperature feedback and monitoring to prevent unstable cavitation and prevent excess tissue heating. Previous work has utilized lower power and pressure to oscillate microbubbles and transfer energy to endothelial cells in the absence of thermally induced damage that can radiosensitize tumors. This work investigated whether reduced acoustic power and pressure on a commercial available MR-integrated HIFU system could result in enhanced radiation-induced tumor response after exposure to ultrasound-stimulated microbubbles (USMB) therapy. A commercially available MR-integrated HIFU system was used with a hyperthermia system calibration provided by the manufacturer. The ultrasound transducer was calibrated to reach a peak negative pressure of – 750 kPa. Thirty male New Zealand white rabbits bearing human derived PC3 tumors were grouped to receive no treatment, 14 min of USMB, 8 Gy of radiation in a separate irradiation cabinet, or combined treatments. In vivo temperature changes were collected using MR thermometry at the tumor center and far-field muscle region. Tissues specimens were collected 24 h post radiation therapy. Tumor cell death was measured and compared to untreated controls through hematoxylin and eosin staining and immunohistochemical analysis. The desired peak negative pressure of – 750 kPa used for previous USMB occurred at approximately an input power of 5 W. Temperature changes were limited to under 4 °C in ten of twelve rabbits monitored. The median temperature in the far-field muscle region of the leg was 2.50 °C for groups receiving USMB alone or in combination with radiation. Finally, statistically significant tumor cell death was demonstrated using immunohistochemical analysis in the combined therapy group compared to untreated controls. A commercial MR-guided therapy HIFU system was able to effectively treat PC3 tumors in a rabbit model using USMB therapy in combination with radiation exposures. Future work could find the use of reduced power and pressure levels in a commercial MR-guided therapy system to mechanically stimulate microbubbles and damage endothelial cells without requiring high thermal doses to elicit an antitumor response.

PMID:36934140 | DOI:10.1038/s41598-023-30286-8

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Nevin Manimala Statistics

Infarct growth velocity predicts early neurological outcomes in single subcortical infarction

Sci Rep. 2023 Mar 18;13(1):4511. doi: 10.1038/s41598-023-31727-0.

ABSTRACT

In single subcortical infarction (SSI), changes in lesion size are a major determinant of early neurological deterioration. We evaluated the association between END and infarct growth velocity (IGV) in patients with SSI. We included consecutive patients with SSI who underwent MRI within 24 h of symptom onset between 2010 and 2020. END was defined as an increase of ≥ 2 in the total National Institutes of Health Stroke Scale (NIHSS) score or ≥ 1 in the motor NIHSS score. IGV was calculated using the following formula: IGV (mL/h) = diffusion-weighted imaging volume (mL)/time to MRI (h). A total of 604 patients with SSI were evaluated. Multivariable logistic regression analysis showed that IGV remained significant after adjusting for confounders (aOR = 1.34, 95% CI 1.12-1.61). In a subgroup analysis based on the type of SSI, only patients with distal SSI showed an association between IGV and END (aOR = 1.64, 95% CI 1.24-2.16). In patients with proximal SSI, IGV did not show any statistical association with END. In conclusion, IGV was positively associated with END in patients with SSI. IGV should be interpreted differently in clinical settings depending on the location of the SSI lesion.

PMID:36934120 | DOI:10.1038/s41598-023-31727-0