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Nevin Manimala Statistics

An Empirical Infodemiology Study of What People Learned about COVID-19 and Behavior Towards Public Health Guidelines Using Web Searches

J Med Internet Res. 2021 Jul 9. doi: 10.2196/28975. Online ahead of print.

ABSTRACT

BACKGROUND: The use of the Internet and web-based platforms to obtain public health information and manage health-related issues has become widespread in this digital age. The practice is so pervasive that the first reaction to obtaining health information is to ‘google it.’ As SARS-CoV-2 broke out in Wuhan, China, in December 2019, and quickly spread worldwide, people flocked to the Internet to learn about the novel coronavirus and the disease, COVID-19. Lagged response by governments and public health agencies to prioritize the Internet and the World Wide Web to disseminate information about the coronavirus outbreak and building trust gave room for others to quickly populate the social media, online blogs, news outlets, and websites with misinformation and conspiracy theories about the COVID-19 pandemic resulting in people’s deviant behaviors towards public health safety measures.

OBJECTIVE: To determine what people learned about the COVID-19 pandemic through “web search;” examine any association between what people learned about COVID-19 and behavior towards the public health guidelines; and analyze the impact of misinformation and conspiracy theories about the COVID-19 pandemic on people’s behavior towards public health measures.

METHODS: This paper undertakes an infodemiology study using the Google trends worldwide search index covering the first six months after the SARS-CoV-2 outbreak (January 1st, to June 30th, 2020) when the public scrambled for information about the pandemic. Data analysis employed statistical trends, correlation and regression, principal component analysis, and predictive models.

RESULTS: (i). The principal components analysis identifies two latent variables comprising past coronavirus epidemics (pastCoVepidemics) and the ongoing COVID-19 pandemic (presCoVpandemic). Both principal components (PCs) were utilized significantly to learn about SARS-CoV-2 and COVID-19 and explained 88.78% variability. (ii). Three (3) PCs fuelled misinformation about COVID-19 [Misinformation(“Biological Weapon,” “VirusHoax,” “CommonCold,” “COVID-19Hoax,” “ChinaVirus”); ConspTheory1(“@5G”); ConspTheory1(“IngestBleach”)]. These PCs explained 84.85% of the variability, (iii). Two (2) PCs identified two components of public health measures [PubHealthMes1(“Social Distancing,” “WashHand,” “Isolation,” “Quarantine.”); PubHealthMes2(“WearMask”), which explained 84.7% of the variability. (iv). Based on the PCA results, log-linear, and predictive models [ConspTheory1(@5G)] is identified as a predictor of people’s behavior towards public health measures (PubHealthMes2). Although (r=0.83), (r=-0.11) for Misinformation(COVID-19Hoax, VirusHoax, CommonCold, and more) and ConspTheory2 (Ingestbleach), respectively, with PubHealthMes1(social dist, handwash, isolation, and more), both were not statistically significant with (p=0.267), (p=0.13), respectively.

CONCLUSIONS: Several studies focus on the impacts of social media and related platforms on spreading misinformation and conspiracy theories. This study provides the first empirical evidence to the mainly anecdotal discourse on the use of web search to learn about SARS-CoV-2 and COVID-19.

PMID:34280117 | DOI:10.2196/28975

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Relationship between the period from symptom onset to confirmation and the prevalence: results from 159 COVID-19 patients using public information through the data crawling

J Med Internet Res. 2021 Jun 9. doi: 10.2196/29576. Online ahead of print.

ABSTRACT

BACKGROUND: In general, early intervention based on early diagnosis of the disease is considered to be very important for improving the health outcome. However, there is still not enough evidence of how medical care that is based on the early diagnosis of confirmed cases can affect the COVID-19 treatment outcomes.

OBJECTIVE: Accordingly, we aimed to investigate the effects of the duration from the onset of clinical symptoms to confirmation on the duration to the resolution of COVID-19 (release from quarantine).

METHODS: For preliminary data collection, we performed data crawling to extract data from social networks, blogs, and official websites operated by local governments. We collected data from the 4,002 confirmed cases from 33cities reported until May 31, 2020, for whom sex and age information could be verified. Subsequently, 2,494 patients with unclear symptom onset date and 1,349 patients who had not been released or had no data about the release date were excluded. Thus, 159 patients were finally included in this study. To investigate whether rapid confirmation reduces the prevalence period, we divided the duration from symptoms to confirmation (S2C) into quartiles, 1Q, 2Q, 3Q, and 4Q, of ≤1, ≤3, ≤6, and ≥7 days. We investigated the duration from symptoms to release (S2R) and confirmation to release (C2R) according to these quartiles. Furthermore, we performed multiple regression analysis to investigate the effects of rapid confirmation after symptom onset on the treatment period, duration of prevalence, and the duration until the release from isolation.

RESULTS: We performed multiple regression analysis to investigate the association between rapid confirmation after symptom onset and the total prevalence period (faster release from isolation). S2C showed a negative association with C2R (T-value = -3.58; p<0.001) and a positive association with S2R (T-value = 5.86; p<0.001) that were statistically significant.

CONCLUSIONS: Duration from symptom onset to the confirmation date is an important variable for predicting prevalence, and these results support the hypothesis that rapid S2C could reduce S2R.

PMID:34280114 | DOI:10.2196/29576

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Economic Impact of Preoperative Meloxicam IV Administration in Total Knee Arthroplasty: A Randomized Trial Sub-Study

J Pain Palliat Care Pharmacother. 2021 Jul 19:1-13. doi: 10.1080/15360288.2021.1883789. Online ahead of print.

ABSTRACT

We evaluated the economic impact associated with preoperative meloxicam IV 30 mg vs placebo administration among adult total knee arthroplasty (TKA) recipients enrolled in Phase IIIB NCT03434275 trial. Data on total hospital costs and length of stay (LOS) obtained from the trial were compared between meloxicam IV 30 mg and placebo groups. Patients in the meloxicam IV 30 mg vs placebo group (n = 93 vs 88) incurred an adjusted $2,266 (95% CI: -$1,035, $5,116; p = 0.1689) lower total hospital costs and an adjusted 8.6% (95% confidence interval [CI]: -2.0%, 18.1%; p = 0.1082) shorter LOS. While statistically non-significant, based on 95% CIs, the results from this sub-study may suggest a favorable impact associated with meloxicam IV 30 mg on hospital costs and LOS.

PMID:34280067 | DOI:10.1080/15360288.2021.1883789

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Upregulation of Stress-Induced Protein Kinase CK1 Delta is associated with a Poor Prognosis for patients with Hepatocellular Carcinoma

Genet Test Mol Biomarkers. 2021 Jul;25(7):504-514. doi: 10.1089/gtmb.2020.0093.

ABSTRACT

Objective: This study was designed to analyze the expression of CSNK1D in hepatocellular carcinoma (HCC) and investigate the relationship between the expression of CSNK1D and the prognosis of HCC patients. Methods: The CSNK1D and alpha-fetoprotein (AFP) expression levels in patients with HCC and their corresponding clinical data were downloaded from The Cancer Genome Atlas (TCGA) and sorted with a Perl program. CSNK1D and AFP expression differences in liver tissue and liver cancer were compared and analyzed, based on the online database human cancer metastasis database, the relationships between the expression levels of CSNK1D and AFP and the proliferation and metastases of HCC were explored. The immunohistochemical data obtained from the Human Protein Atlas Database further verified the differences in the expression levels of CSNK1D and AFP in liver tissues and liver cancer tissues. Through Kaplan-Meier survival analysis, the effects of CSNK1D and AFP expression levels on the prognosis of patients with HCC were investigated, and the influences of and patients’ gender, age and grades of cancer cells, tumor size, the status of lymph node metastasis, distant metastasis, and tumor stage on the expression of CSNK1D were analyzed with R language. The influence of differential expressions of CSNK1D on survival time was compared and the prognostic factors influencing the survival of HCC patients were statistically explored by univariate analysis and multivariate analysis. The potential influencing mechanism of CSNK1D on the prognosis of HCC patients was explored by Gene Set Enrichment Analysis (GSEA) enrichment. Results: The expression level of CSNK1D and AFP in cancer foci was significantly higher than that in normal tissues, However, in the same patient, the expression levels of AFP in paracarcinoma tissues and cancer tissues showed no significant difference. The expression level of CSNK1D in HCC with distant metastases was higher than that in those without metastasis, but the expression level of AFP in metastatic HCC was lower than that in those HCC without metastases. In immunohistochemical tests, CSNK1D was moderately positive in normal liver tissues, slightly positive in normal bile duct tissues, and highly positive in HCC. AFP was slightly positive in normal liver tissues and negative in HCC, but it was not detected in normal intrahepatic bile duct tissue. Survival analysis results suggested that the higher expression level of CSNK1D corresponded to the shorter survival period, whereas the expression level of AFP showed no significant influence on survival time. The expression level of CSNK1D was not correlated with gender, age, the status of lymph node metastasis status, or distant metastasis of patients. The main factors influencing the expression level of CSNK1D included tumor size, cancer cell grade, and tumor stage. The expression levels of CSNK1D in T2 and T3 were higher than that in T1. The expression levels of CSNK1D in G3 and G4 were higher than that in G1. The expression levels of CSNK1D in Stage II and Stage III were higher than that in Stage I. Univariate analysis suggested that tumor size, cell grade, distant metastasis, clinical stage, and CSNK1D expression level were the prognostic factors influencing the survival of patients. Multivariate analysis suggested that CSNK1D expression level was an independent factor influencing the prognosis of HCC patients. GSEA enrichment analysis indicated that CSNK1D mainly affected the prognosis of HCC patients through cell cycle, WNT signaling pathway, amino acid degradation metabolism, and other pathways. Conclusion: CSNK1D is an independent influencing factor for the prognosis of HCC patients and has the potential to be developed as a potential therapeutic target for HCC, and better than AFP in predicting the prognosis of HCC.

PMID:34280005 | DOI:10.1089/gtmb.2020.0093

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Gut-Restricted Selective Cyclooxygenase-2 (COX-2) Inhibitors for Chemoprevention of Colorectal Cancer

J Med Chem. 2021 Jul 19. doi: 10.1021/acs.jmedchem.1c00890. Online ahead of print.

ABSTRACT

Selective cyclooxygenase (COX)-2 inhibitors have been extensively studied for colorectal cancer (CRC) chemoprevention. Celecoxib has been reported to reduce the incidence of colorectal adenomas and CRC but is also associated with an increased risk of cardiovascular events. Here, we report a series of gut-restricted, selective COX-2 inhibitors characterized by high colonic exposure and minimized systemic exposure. By establishing acute ex vivo 18F-FDG uptake attenuation as an efficacy proxy, we identified a subset of analogues that demonstrated statistically significant in vivo dose-dependent inhibition of adenoma progression and survival extension in an APCmin/+ mouse model. However, in vitro-in vivo correlation analysis showed their chemoprotective effects were driven by residual systemic COX-2 inhibition, rationalizing their less than expected efficacies and highlighting the challenges associated with COX-2-mediated CRC disease chemoprevention.

PMID:34279934 | DOI:10.1021/acs.jmedchem.1c00890

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Rapid Classification of COVID-19 Severity by ATR-FTIR Spectroscopy of Plasma Samples

Anal Chem. 2021 Jul 19. doi: 10.1021/acs.analchem.1c00596. Online ahead of print.

ABSTRACT

The coronavirus disease 2019 (COVID-19) pandemic continues to ravage the world, with many hospitals overwhelmed by the large number of patients presenting during major outbreaks. A rapid triage for COVID-19 patient requiring hospitalization and intensive care is urgently needed. Age and comorbidities have been associated with a higher risk of severe COVID-19 but are not sufficient to triage patients. Here, we investigated the potential of attenuated total reflectance Fourier-transform infrared (ATR-FTIR) spectroscopy as a rapid blood test for classification of COVID-19 disease severity using a cohort of 160 COVID-19 patients. A simple plasma processing and ATR-FTIR data acquisition procedure was established using 75% ethanol for viral inactivation. Next, partial least-squares-discriminant analysis (PLS-DA) models were developed and tested using data from 130 and 30 patients, respectively. Addition of the ATR-FTIR spectra to the clinical parameters (age, sex, diabetes mellitus, and hypertension) increased the area under the ROC curve (C-statistics) for both the training and test data sets, from 69.3% (95% CI 59.8-78.9%) to 85.7% (78.6-92.8%) and 77.8% (61.3-94.4%) to 85.1% (71.3-98.8%), respectively. The independent test set achieved 69.2% specificity (42.4-87.3%) and 94.1% sensitivity (73.0-99.0%). Diabetes mellitus was the strongest predictor in the model, followed by FTIR regions 1020-1090 and 1588-1592 cm-1. In summary, this study demonstrates the potential of ATR-FTIR spectroscopy as a rapid, low-cost COVID-19 severity triage tool to facilitate COVID-19 patient management during an outbreak.

PMID:34279898 | DOI:10.1021/acs.analchem.1c00596

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Management of 201 individuals with emotionally unstable personality disorders: A naturalistic observational study in real-world inpatient setting

Neuro Endocrinol Lett. 2021 Jul 19;42(3):200-212. Online ahead of print.

ABSTRACT

BACKGROUND: Emotionally unstable personality disorder (EUPD) is a challenging condition with a prevalence of 20% in inpatient services. Psychotherapy is the preferred treatment; nevertheless, off-license medications are widely used.

OBJECTIVES: To identify socio-demographics, clinical and service-delivery characteristics of people with EUPD admitted to inpatient services between 1st January 2017 and 31st December 2018.

METHODS: A retrospective review using data from patients’ records. Individuals, age 18-65 were included. Statistical analysis was conducted by the Mann-Whitney-Wilcoxon test and Chi-squared test with Yates’s continuity correction.

RESULTS: Of 1646 inpatients, 201 (12.2%); had the diagnosis of EUPD; 133 (66.0%) women, 68 (44.0%). EUPD was significantly (P < .001) more prevalent in women (18.2%) than men (7.4%). EUPD patients were significantly (P < .001) younger (32.2 years) than patients without EUPD (46 years), and had significantly (P < .001) more admissions (1.74) than patients without EUPD (1.2 admission). 70.5% of patients had one and 17.0% two Axis-I psychiatric co-morbidities. Substance use was significantly (P < .001) more often in men (57.3%) than in women (28.5%). Significantly (P = 0.047) more women (68.4%) than men (53.0%) reported sexual abuse. 87.5% used polypharmacy. Antidepressants were significantly (P = 0.02) often prescribed to women (76.6%) than men (69.1%). Significantly (P = 0.02) more women (83.5%) than men (67.6%) were on antipsychotics. 57.2% of the patients were on anxiolytics, 40.0% on hypnotics and 25.8% on mood stabilisers.

CONCLUSION: EUPD is a complex condition with widespread comorbidity. The term EUPD, Borderline Personality Disorder is unsuitable, stigmatising and too simplistic to reflect the nature, gravity and psychopathology of this syndrome.

PMID:34279863

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Self-stigma, severity of psychopatology, dissociation, parental style and comorbid personality disorder in patient with neurotic spectrum disorders Part 2: Therapeutic efficacy of intensive psychotherapeutic inpatients program

Neuro Endocrinol Lett. 2021 Jul 19;42(3):185-199. Online ahead of print.

ABSTRACT

OBJECTIVES: The effect of short-term psychodynamic psychotherapy in patients with neurotic spectrum disorders may be related with predictive factors such as the severity of the disorder, diagnosis, self-stigma level, personality characteristics, comorbidity with depression and personality disorder, dissociation, and traumatic childhood experience. This study focuses on finding factors related to the effect of short-term psychodynamic psychotherapy in patients with neurotic spectrum disorders.

METHOD: The study was conducted at the Psychotherapeutic ward of the Psychiatric Department in Regional Hospital Liberec from October 2015 to March 2019. The assessment method used at the beginning was the objective and subjective Clinical global impression (objCGI, subjCGI), Beck Anxiety Inventory (BAI), Beck Depression Inventory (BDI-II), Dissociative Experience Scale (DES), Liebowitz Social Anxiety Scale (LSAS), Internalized Stigma of Mental Illness (ISMI), Temperament and Character Inventory (TCI), Parental Bonding Style (PBI), Childhood Trauma Questionnaire (CTQ). The 6-week therapeutic program combines group dynamic psychotherapy (4 times a week for 1.5 hours), pharmacotherapy and other therapeutic activities. The primary criterium of therapeutic outcome was the change in objCGI severity, and the secondary criteria were changes in subjCGI, BAI and BDI-II.

RESULTS: A total of 96 hospitalized patients with neurotic spectrum disorder diagnosed according to ICD-10, confirmed with the MINI (MINI-International Neuropsychiatric Interview) were included in the study and filled out the questionnaires’ battery. There was a statistically significant decrease in the anxiety and depression symptoms and an overall decrease in the disorder’s severity during the treatment. At the beginning of the treatment, a higher self-stigma rate was associated with a smaller decrease in anxiety symptoms (BAI) and depression (BDI-II). However, self-stigma is not a factor associated with the change in primary outcome criteria (objCGI change). Initial assessment of objective severity of the disorder (objCGI) and personality factor Novelty Seeking predict the change in objCGI severity.

CONCLUSIONS: Self-stigma predicted the change in anxiety and depressive symptom but not the change of the disorder’s global severity in short-term psychodynamic psychotherapy of patients with a neurotic spectrum disorder.

PMID:34279862

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Corneal Factors Associated with the Amount of Visual Field Damage in Eyes with Newly Diagnosed, Untreated, Open-angle Glaucoma

Ophthalmol Ther. 2021 Jul 19. doi: 10.1007/s40123-021-00375-w. Online ahead of print.

ABSTRACT

INTRODUCTION: The aim of this study was to evaluate the correlation between several ocular parameters (intraocular pressure [IOP], corneal biomechanical properties) and the visual field (VF) mean deviation (VF MD) in eyes with open-angle glaucoma (OAG).

METHODS: We conducted a cross-sectional, observational study in which we measured the IOP with Goldmann applanation tonometry, the central corneal thickness (CCT), and the corneal parameters obtained from the Ocular Response Analyzer® (ORA®) and the Corvis® ST non-contact tonometer, in newly diagnosed and treatment-naïve eyes with OAG, to investigate whether there was any correlation between these ocular parameters and the VF MD.

RESULTS: A total of 51 eyes were analyzed. A statistically significant correlation was found only between the VF MD and corneal hysteresis (CH) (P = 0.003, r2 = 0.16) and CCT (P = 0.03, r2 = 0.08).

CONCLUSIONS: These results demonstrate that CH and CCT are associated with the amount of VF damage in treatment-naïve OAG eyes.

PMID:34279846 | DOI:10.1007/s40123-021-00375-w

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Where Are the Women in Radiation Oncology? A Cross-Sectional Multi-Specialty Comparative Analysis

Adv Radiat Oncol. 2021 Jun 4;6(5):100735. doi: 10.1016/j.adro.2021.100735. eCollection 2021 Sep-Oct.

ABSTRACT

PURPOSE: We aimed to evaluate the growth of women within the general radiation oncology (RO) workforce in comparison to the growth among other medical specialties. We also sought to create a predictive model for gender diversity to guide future recruitment efforts.

METHODS AND MATERIALS: We identified 16 medical specialties, including RO, for analyses. We used data from the Association of American Colleges and assessed female representation at 4 time points (2006, 2011, 2016, and 2020). Additionally, we determined characteristics of medical specialties that were predictive of increased gender diversity. We performed univariate statistical analysis with linear regression to evaluate factors predictive of greater gender diversity among the medical specialties in our cohort.

RESULTS: The proportion of women within the represented specialties increased over time. Obstetrics/gynecology (14,750 [2006], 23,921 [2020]; 18.7% absolute growth) and dermatology (3568 [2006], 6329 [2020]; 15.1% absolute growth) experienced the highest absolute growth in female representation between 2006 and 2020. When assessing changes between various time points in RO, the absolute change in female physicians increased by 1.5% between 2006 and 2011, by 2.2% between 2011 and 2016, and by only 0.4% between 2016 and 2020, which was the lowest growth pattern relative to the other 15 specialties. Factors predictive of gender diversity among specialties were lower average step 1 scores (P = .0056), fewer years of training (P = .0078), fewer work hours (P = .046), the availability of a standard third year clerkship for a given specialty (P = .0061), and a high baseline number of female physicians within a specialty (P = .0078). Research activities (P = .099) and interest among matriculating medical students (P = .28) were not statistically significant.

CONCLUSIONS: The percentage of women in RO lags behind other medical specialties and has been notably low in the last few years. Interventions that incorporate novel initiatives proposed within this study may accelerate current recruitment milestones.

PMID:34278054 | PMC:PMC8267431 | DOI:10.1016/j.adro.2021.100735