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Online Mindfulness Experience for Emotional Support to Healthcare staff in times of Covid-19

J Med Syst. 2022 Jan 26;46(3):14. doi: 10.1007/s10916-022-01799-y.

ABSTRACT

During the first confinement in Spain, between the months of March to June 2020, Information and Communication Technologies strategies were implemented in order to support health workers in the Wellbeing of Mental Health. Faced with so much uncertainty about the pandemic, an Online Mindfulness course. The objective of the course was to support healthcare professionals in Castilla y León in managing stress, anxiety and other emotional disturbances generated by coping with a situation as uncertain and unexpected as a pandemic, in order to manage emotions and thoughts that can lead to suicidal ideation. The motivations for the demand, reasons or motivations in which the health professionals of Castilla y León decided to participate in the mindfulness course in the first wave of Covid-19 in Spain are described. The descriptive and inferential statistical analysis of the customer satisfaction survey applied at the end of the mindfulness course, to the health professionals who participated in a satisfaction survey (CSQ-8: Client Satisfaction Questionnaire). Professional were asked to complete a survey based on (CSQ-8: Client Satisfaction Questionnaire) whose Cronbach’s alpha = 0.917 is why the instrument used with N = 130 participants has high reliability. The 66% answered with a highly satisfied that they would return to the mindfulness online course. The 93% of the people who answered the satisfaction survey were women, of which they are professionals in the nursing area, with a participation of around 62%. In relation to the online system used in the Mindfulness intervention, 74% expressed that they fully agreed that it has been easy to use the online system for the mindfulness intervention. Health Professionals responded with 58% high satisfaction and 36% satisfaction, making a total of 94% on the help received in the online mindfulness courses to solve their problems. There is no difference between the age groups of the professionals who have preferred the Mindfulness online course (p = 0.672).

PMID:35079899 | DOI:10.1007/s10916-022-01799-y

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Measurement of myocardial extracellular volume fraction in patients with heart failure with preserved ejection fraction using dual-energy computed tomography

Eur Radiol. 2022 Jan 25. doi: 10.1007/s00330-021-08514-4. Online ahead of print.

ABSTRACT

OBJECTIVES: To measure the myocardial extracellular volume (ECV) in patients with heart failure with preserved ejection fraction (HFpEF) using dual-energy computed tomography with late iodine enhancement (LIE-DECT) and to evaluate the relationship between ECV and risk of HFpEF and cardiac structure and function.

METHODS: A total of 112 consecutive patients with HFpEF and 80 consecutive subjects without heart disease (control group) who underwent LIE-DECT were included. All patients were divided into ischaemic and non-ischaemic groups according to the LIE patterns detected using iodine maps. The ischaemic scar burden was calculated in the ischaemic HFpEF group. Iodine maps and haematocrit were used to measure ECV in the non-ischaemic HFpEF group and remote ECV of the non-scarred myocardium in the ischaemic HFpEF group, respectively. Cardiac structural and functional variables were collected.

RESULTS: ECV in patients with non-ischaemic HFpEF (n = 77) and remote ECV in patients with ischaemic HFpEF (n = 35) were significantly higher than those in control subjects (p < 0.001). Multivariate logistic regression analysis revealed that after adjusting for age, sex, body mass index, smoking, and drinking, a higher ECV/remote ECV was still associated with non-ischaemic HFpEF and ischaemic HFpEF (p < 0.001). A positive correlation was established between ECV and cardiac structural and functional variables (p < 0.05) in all participants. Subgroup analysis showed that ECV/remote ECV and ischaemic scar burden positively correlated with heart failure classification in the HFpEF subgroup (p < 0.05).

CONCLUSION: ECV/remote ECV elevation was significantly associated with non-ischaemic and ischaemic HFpEF. Remote ECV and LIE may have synergistic effects in the risk assessment of ischaemic HFpEF.

KEY POINTS: • ECV/remote ECV elevation is associated not only with non-ischaemic HFpEF but also with ischaemic HFpEF. • ECV/remote ECV and ischaemic scar burden are correlated with cardiac structure and function.

PMID:35079886 | DOI:10.1007/s00330-021-08514-4

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Validation of a Chinese version for the global Pelvic Floor Bother Questionnaire

Arch Gynecol Obstet. 2022 Jan 26. doi: 10.1007/s00404-021-06370-7. Online ahead of print.

ABSTRACT

PURPOSE: The Pelvic Floor Bother Questionnaire (PFBQ) is a self-administered instrument for determining pelvic floor dysfunction (PFD). The PFBQ was validated in English, but lately in other languages. However, a Chinese version has not been established. Thus, we aimed at validating a Chinese PFBQ version.

METHODS: We used a translation-back method to develop a PFBQ Chinese version and validated in 102 women, 51 with at least one PFD symptom participated in the patient group, and 51 without PFD in the control group. Construct validity was assessed by comparing groups and a content validity index (CVI) determined. For test-retest reliability, participants completed the questionnaire twice within 1-week interval and the interclass correlation coefficient (ICC) was determined. Internal consistency was calculated using Cronbach’s statistics.

RESULTS: Missing information after applying the translated PFBQ did not exceed 4% of any questions. Total scores between control and PFD women were significantly different (2.94 ± 1.84 vs. 10.29 ± 6.64; P < 0.001). The CVI for all items ranged from 0.800 to 1.000, and a good reliability was corroborated (α = 0.677, ICC = 0.938).

CONCLUSION: The Chinese PFBQ version is a valid and reliable tool to identify the existence and severity of bothersome symptoms in Chinese women with PFD.

PMID:35079874 | DOI:10.1007/s00404-021-06370-7

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Study on the Benefit of Postoperative Exercise Rehabilitation in Patients with 
Lung Cancer Complicated with Chronic Obstructive Pulmonary Disease

Zhongguo Fei Ai Za Zhi. 2022 Jan 20;25(1):14-20. doi: 10.3779/j.issn.1009-3419.2021.102.51.

ABSTRACT

BACKGROUND: Chronic obstructive pulmonary diseases (COPD) affects 45%-63% of lung cancer patients worldwide. Lung cancer patients complicated with COPD have decreased cardiopulmonary function and increased perioperative risk, and their postoperative exercise endurance and lung function are significantly lower than those with conventional lung cancer. Previous studies have shown that postoperative exercise training can improve the exercise endurance of unselected lung cancer patients, but it is unclear whether lung cancer patients with COPD can also benefit from postoperative exercise training. This study intends to explore the effects of postoperative exercise training on exercise endurance, daily activity and lung function of lung cancer patients with COPD.

METHODS: Seventy-four patients with non-small cell lung cancer (NSCLC) complicated with COPD who underwent pneumonectomy in the lung cancer center of West China Hospital of Sichuan University from August 5, 2020 to August 25, 2021 were prospectively analyzed. They were randomly divided into exercise group and control group; The patients in the two groups received routine postoperative rehabilitation in the first week after operation, and the control group was given routine nursing from the second week. On this basis, the exercise group received postoperative exercise rehabilitation training for two weeks. Baseline evaluation was performed 3 days before operation and endpoint evaluation was performed 3 weeks after operation.

RESULTS: The exercise endurance, daily activity and pulmonary function test results of the two groups decreased from baseline to the end point. However, after the operation and intervention program, the maximum oxygen consumption of Cardiopulmonary Exercise Test and the walking distance of 6-Minute Walking Test in the exercise group were significantly better than those in the control group [(13.09±1.46) mL/kg/min vs (11.89±1.38) mL/kg/min, P=0.033; (297±46) m vs (243±43) m, P=0.041]. The average number of we-chat steps in the exercise group was also significantly better than that in the control group (4,381±397 vs 3,478±342, P=0.035). Forced vital capacity (FVC) and forced expiratory volume in one second (FEV1) in the exercise group were better than those in the control group, but the difference did not reach a statistically significant level [(1.76±0.19) L vs (1.60±0.28) L, P=0.084; (1.01±0.17) L vs (0.96±0.21) L, P=0.467].

CONCLUSIONS: Postoperative exercise rehabilitation training can improve exercise endurance and daily activity ability of patients with lung cancer complicated with COPD and promote postoperative rehabilitation.

PMID:35078280 | DOI:10.3779/j.issn.1009-3419.2021.102.51

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Application of CT-guided Localization with Medical Glue for Single and Two or More Small Pulmonary Nodules before Video-assisted Thoracic Surgery

Zhongguo Fei Ai Za Zhi. 2022 Jan 20;25(1):1-6. doi: 10.3779/j.issn.1009-3419.2021.102.52.

ABSTRACT

BACKGROUND: The localization of pulmonary nodules is related to whether the lesions can be found and removed accurately and quickly. It is an important link for the success of minimally invasive video-assisted thoracic surgery (VATS). This study investigated the feasibility of medical glue localization under VATS video-assisted thoracoscopic computed tomography (CT) guidance for single pulmonary nodule and more than two pulmonary nodules, and compared with the accuracy and safety of single nodule localization.

METHODS: A retrospective analysis of the clinical data of patients who underwent unilateral CT-guided medical glue localization before VATS from November 2018 to March 2021 were performed, the patients was divided into multiple pulmonary nodules group (localized nodules ≥2) and single pulmonary nodule group according to the number of localized nodules. The localization time, success rate and complication rate of the two groups were compared.

RESULTS: There were 126 nodules in the two groups, including 62 in single pulmonary nodule group and 64 in multiple pulmonary nodules group. The average single nodule localization time was (13.23±4.5) min in single pulmonary nodule group and (10.52±2.8) min in multiple pulmonary nodules group, the difference between the two groups is statistically significant (P<0.05). The localization success rate of single pulmonary nodule group and multiple pulmonary nodules group were 100% and 98.4% separately, the difference between the two groups was not statistically significant (P>0.05). All VATS were successfully completed after localization. The incidence of pneumothorax was higher in multiple pulmonary nodules group than in single pulmonary nodule group (P=0.07).

CONCLUSIONS: Compared with localization of single lung nodule, unilateral CT-guided medical glue localization for multiple pulmonary nodules before VATS is also feasible and accuracy, it is worthy of clinical application. But the higher rate of pneumothorax should be paid attention to.

PMID:35078278 | DOI:10.3779/j.issn.1009-3419.2021.102.52

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Machine learning provides an accurate prognostication model for refractory overactive bladder treatment response and is noninferior to human experts

Neurourol Urodyn. 2022 Jan 25. doi: 10.1002/nau.24881. Online ahead of print.

ABSTRACT

OBJECTIVE: The increasing wealth of clinical data may become unmanageable for a physician to assimilate into optimal decision-making without assistance. Utilizing a novel machine learning (ML) approach, we sought to develop algorithms to predict patient outcomes following the overactive bladder treatments OnabotulinumtoxinA (OBTX-A) injection and sacral neuromodulation (SNM).

MATERIALS AND METHODS: ROSETTA datasets for overactive bladder patients randomized to OBTX-A or SNM were obtained. Novel ML algorithms, using reproducing kernel techniques were developed and tasked to predict outcomes including treatment response and decrease in urge urinary incontinence episodes in both the OBTX-A and SNM cohorts, in validation and test sets. Blinded expert urologists also predicted outcomes. Receiver operating characteristic curves were generated and AUCs calculated for comparison to lines of ignorance and the expert urologists’ predictions.

RESULTS: Trained algorithms demonstrated outstanding accuracy in predicting treatment response (OBTX-A: AUC 0.95; SNM: 0.88). Algorithms accurately predicted mean decrease in urge urinary incontinence episodes (MSE < 0.15) in OBTX-A and SNM. Algorithms were superior to human experts in response prediction for OBTX-A, and noninferior to human experts in response prediction for SNM.

CONCLUSIONS: Novel ML algorithms were accurate, superior to expert urologists in predicting OBTX-A outcomes, and noninferior to expert urologists in predicting SNM outcomes. Some aspects of the physician-patient interaction are subtle and uncomputable, and thus ML may complement, but not supplant, a physician’s judgment.

PMID:35078268 | DOI:10.1002/nau.24881

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ATM Germline Mutated Gastroesophageal Junction Adenocarcinomas: Clinical Descriptors, Molecular Characteristics and Potential Therapeutic Implications

J Natl Cancer Inst. 2022 Jan 25:djac024. doi: 10.1093/jnci/djac024. Online ahead of print.

ABSTRACT

BACKGROUND: Gastroesophageal junction (GEJ) adenocarcinoma is a rare cancer associated with poor prognosis. The genetic factors conferring predisposition to GEJ adenocarcinoma have yet to be identified.

METHODS: We analyzed germline testing results from 23,381 cancer patients undergoing tumor-normal sequencing of which 312 individuals had GEJ adenocarcinoma. Genomic profiles, and clinico-pathologic features were analyzed for the GEJ adenocarcinomas. Silencing of ATM and ATR was performed using validated short-interfering RNA (siRNA) species in GEJ, esophageal and gastric adenocarcinoma cell lines. All statistical tests were 2-sided.

RESULTS: Pathogenic/likely pathogenic ATM variants were identified in 18 of 312 patients (5.8%), and bi-allelic inactivation of ATM through loss of heterozygosity (LOH) of the wild-type allele was detected in all (16 of 16) samples with sufficient tumor content. Germline ATM-mutated GEJ adenocarcinomas largely lacked somatic mutations in TP53, were more likely to harbor MDM2 amplification, and harbored statistically significantly fewer somatic single nucleotide variants (2.0 mutations/Mb vs 7.9 mutations/Mb; P<.001). A statistically significantly higher proportion of germline ATM-mutated than ATM-wild-type GEJ adenocarcinoma patients underwent a curative resection (10 (100%) vs. 92 (86.8%), P=.04, Fisher’s exact test.), A synthetic lethal interaction between siRNA silencing of ATM and ATR was observed in the models analyzed.

CONCLUSIONS: Our results indicate that germline pathogenic variants in ATM drive oncogenesis in GEJ adenocarcinoma and might result in a distinct clinical phenotype. Given the high prevalence of germline ATM-mutated GEJ adenocarcinomas, genetic testing for individuals with GEJ adenocarcinomas may be considered to better inform prognostication, treatment decisions, and future cancer risk.

PMID:35078243 | DOI:10.1093/jnci/djac024

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Impacts of an Opioid Safety Initiative on United States Veterans Undergoing Cancer Treatment

J Natl Cancer Inst. 2022 Jan 25:djac017. doi: 10.1093/jnci/djac017. Online ahead of print.

ABSTRACT

BACKGROUND: There is limited research on how the opioid epidemic and consequent risk reduction policies have impacted pain management among cancer patients. The purpose of this study is to analyze how an Opioid Safety Initiative (OSI) implemented at the Veteran’s Health Administration (VHA) affected opioid prescribing patterns and opioid-related toxicity.

METHODS: We performed an interrupted time series analysis of 42,064 opioid-naïve patients treated at the VHA for prostate, lung, breast, and colorectal cancer from 2011-2016. Segmented regression was used to evaluate the impact of the OSI on the incidence of any new opioid prescriptions, high-risk prescriptions, persistent use, and pain-related ED visits. We compared the cumulative incidence of adverse opioid events including an opioid related admission or diagnosis of misuse before and after the OSI. All statistical tests were 2-sided.

RESULTS: The incidence of new opioid prescriptions was 26.7% (95% CI = 25.0-28.4%) in 2011 and increased to 50.6% (95% CI = 48.3-53.0%) by 2013 prior to OSI implementation (monthly rate of change: +3.3%, 95% CI = 1.3-4.2%, p < .001). After the OSI, there was a decrease in the monthly rate of change for new prescriptions (-3.4%, 95% CI = -3.9 – -2.9%, p < .001). The implementation of the OSI was associated with a decrease in the monthly rate of change of concomitant benzodiazepines and opioid prescriptions (-2.5%, 95% CI = -3.2 – -1.8%, p < .001), no statistically significant change in high-dose opioids (-1.2%, 95% CI = -3.2-0.9%, p = .26), a decrease in persistent opioid use (-5.7%, 95% CI = -6.8 – -4.7%, p < .001), and an increase in pain-related ED visits (+3.0%, 95% CI = 1.0-5.0%, p = .003). The OSI was associated with a decreased incidence of opioid-related admissions (3-year cumulative incidence: 0.9% [95% CI = 0.7-1.0%] vs. 0.5% [95% CI = 0.4-0.6%], p < .001) and no statistically significant change in the incidence of opioid misuse (3-year cumulative incidence: 1.2% [95% CI = 1.0-1.3%] vs. 1.2% [1.1-1.4%], p = .77).

CONCLUSIONS: The OSI was associated with a relative decline in the rate of new, persistent, and certain high-risk opioid prescribing as well as a slight increase in the rate of pain-related ED visits. Further research on patient-centered outcomes is required to optimize opioid prescribing policies for patients with cancer.

PMID:35078240 | DOI:10.1093/jnci/djac017

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The effect of mobile health focused on diet and lifestyle on blood pressure: a systematic review and Meta-analysis

Eur J Prev Cardiol. 2022 Jan 25:zwac017. doi: 10.1093/eurjpc/zwac017. Online ahead of print.

ABSTRACT

AIM: To determine the effect of mobile health (mHealth) focused on diet and lifestyle on blood pressure (BP).

METHODS: We performed a systematic review with meta-analysis using the mean difference (MD) of change from baseline as an effect measure. MEDLINE via PubMed, Cochrane Central, and EMBASE were reviewed until May 6, 2020. We included randomized controlled trials of adults who participated in mHealth focused on diet and lifestyle. Interventions were grouped according to the presence of health professional intervention (PI) (PI+mHealth or mHealth only). Eligible controls did not participate in mHealth and were classified as active comparator (PI) or no intervention (NI). Subgroup analyses were performed according to the presence of prior cardiovascular disease and hypertension status.

RESULTS: We included 44 trials involving 24,692 participants. Mobile health interventions were superior to NI in reducing SBP in both situations: alone (MD = -1.8 mmHg; 95%CI: -3.6; 0.0) or with PI (MD = -5.3 mmHg; 95%CI: -7.5;-3.1), with a greater effect size in the latter group (p = 0.016). This benefit was not observed when the control was PI. DBP and SBP had consistent results. There was a marked effect of PI+mHealth vs. NI on the BP reduction among hypertensive participants.

CONCLUSIONS: Current evidence shows that mHealth focused on diet and lifestyle can reduce BP, especially when implemented in hypertensive participants, and PI may provide additional benefit.

PMID:35078238 | DOI:10.1093/eurjpc/zwac017

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A deep learning framework for characterization of genotype data

G3 (Bethesda). 2022 Jan 25:jkac020. doi: 10.1093/g3journal/jkac020. Online ahead of print.

ABSTRACT

Dimensionality reduction is a data transformation technique widely used in various fields of genomics research. The application of dimensionality reduction to genotype data is known to capture genetic similarity between individuals, and is used for visualization of genetic variation, identification of population structure as well as ancestry mapping. Among frequently used methods are PCA, which is a linear transform that often misses more fine-scale structures, and neighbor-graph based methods which focus on local relationships rather than large-scale patterns. Deep learning models are a type of nonlinear machine learning method in which the features used in data transformation are decided by the model in a data-driven manner, rather than by the researcher, and have been shown to present a promising alternative to traditional statistical methods for various applications in omics research. In this paper, we propose a deep learning model based on a convolutional autoencoder architecture for dimensionality reduction of genotype data. Using a highly diverse cohort of human samples, we demonstrate that the model can identify population clusters and provide richer visual information in comparison to PCA, while preserving global geometry to a higher extent than t-SNE and UMAP, yielding results that are comparable to an alternative deep learning approach based on variational autoencoders. We also discuss the use of the methodology for more general characterization of genotype data, showing that it preserves spatial properties in the form of decay of linkage disequilibrium with distance along the genome and demonstrating its use as a genetic clustering method, comparing results to the ADMIXTURE software frequently used in population genetic studies.

PMID:35078229 | DOI:10.1093/g3journal/jkac020